Immunology
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Immunology
Teaching and Learning Immunology. Information you never would have searched for!
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Scooped by Gilbert C FAURE
February 21, 4:10 AM
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#méningocoque #déficitencomplément #pédiatriegénérale | Tamazoust GUIDDIR

#méningocoque #déficitencomplément #pédiatriegénérale | Tamazoust GUIDDIR | Immunology | Scoop.it
Superbe collaboration pour le diagnostic d’un déficit rare en complément chez une jeune fille de 14 ans qui avait été hospitalisée dans le service et qui avait présenté une infection invasive à méningocoque Y

https://lnkd.in/eTZygZmp

💡 toujours faire une évaluation du complément chez les enfants présentant une infection invasive à meningocoque en dosant le C3, C4, CH50 et AP50 et ce, dès le 1er épisode!

💡 recommandation HAS de vaccination par le tétravalent A, C, Y, W à 6 mois et rappel à 12 mois chez tous les enfants

Camille Bougeard Eléonore Eskander @paula viera martins Joan Bitan Julia ROQUIGNY Christèle Kyheng @Veronique Fremeaux-Bacchi, Cécile Gonnin carine el sissy

AP-HP, Assistance Publique - Hôpitaux de Paris
CHU du Kremlin-Bicêtre

#méningocoque #déficitencomplément
#pédiatriegénérale
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Scooped by Gilbert C FAURE
July 21, 2025 4:37 AM
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The complement system: Biology, pathology, and therapeutic interventions

The complement system: Biology, pathology, and therapeutic interventions | Immunology | Scoop.it
Targeting the innate immune complement system has long been pursued as a promising strategy for treating a wide spectrum of acute and chronic immune-mediated disorders.Nearly 2 decades since the approval of the first complement inhibitor targeting C5, the field of complement therapeutics has flouri...
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Abstract

Targeting the innate immune complement system has long been pursued as a promising strategy for treating a wide spectrum of acute and chronic immune-mediated disorders. Nearly 2 decades since the approval of the first complement inhibitor targeting C5, the field of complement therapeutics has flourished. In just the past 5 years, 8 new complement-targeting drugs have entered the market. Traditionally dominated by monoclonal antibodies, the approved drug arsenal now includes an ever-expanding selection of macrocyclic peptides, low molecular weight compounds, and aptamers. Other novel approaches in clinical development include recombinant proteins, nanobodies, oligonucleotide therapeutics, and gene therapies. Alongside this remarkable diversification of drug modalities, the complement field is advancing toward deciphering and precisely targeting all pathways of the complement network. Although current approved therapies primarily benefit patients with rare diseases, there is a nascent shift towards addressing more prevalent conditions. In line with this unprecedented expansion in the field, we aim to provide a comprehensive overview of the complement system, its activation pathways, key effector mechanisms, and regulation. We discuss the consequences of unchecked complement activation leading to disease pathologies and highlight therapeutic intervention points within the cascade. We review the discovery and molecular pharmacology of clinically approved and late-phase complement therapeutics, bridging to their clinical pharmacokinetics, safety, and regulatory status for clinical indications. We particularly focus on the diversifying modalities of complement-targeting drugs and evaluate the unique opportunities and challenges these new developments present. With this knowledge, we forecast potential short-term and long-term development trends in the field. SIGNIFICANCE STATEMENT: Therapeutic targeting of the complement system has been widely pursued for treating autoimmune and inflammatory disorders, with the field recently seeing an exponential increase in clinical approvals (8 new drugs during 2022-2024). This timely comprehensive review presents an overview of the complement cascade, its effector mechanisms, and the molecular pharmacology and clinical utility of currently approved and late-phase complement-targeting drugs. We thus provide a valuable one-stop guide for existing and upcoming researchers working in the complement field.

 

further information on

https://www.scoop.it/topic/immunology?q=complement

 

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May 24, 2023 11:45 AM
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Complement: Functions, location and implications

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location focus is interesting

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September 24, 2022 8:29 AM
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A guide to systems-level immunomics | Nature Immunology

A guide to systems-level immunomics | Nature Immunology | Immunology | Scoop.it
The immune system is highly complex and distributed throughout an organism, with hundreds to thousands of cell states existing in parallel with diverse molecular pathways interacting in a highly dynamic and coordinated fashion. Although the characterization of individual genes and molecules is of the utmost importance for understanding immune-system function, high-throughput, high-resolution omics technologies combined with sophisticated computational modeling and machine-learning approaches are creating opportunities to complement standard immunological methods with new insights into immune-system dynamics. Like systems immunology itself, immunology researchers must take advantage of these technologies and form their own diverse networks, connecting with researchers from other disciplines. This Review is an introduction and ‘how-to guide’ for immunologists with no particular experience in the field of omics but with the intention to learn about and apply these systems-level approaches, and for immunologists who want to make the most of interdisciplinary networks. The explosion of single-cell and systems approaches in immunology risks leaving the uninitiated behind. This guide to systems immunology is designed for immunologists who want an introduction to the area.
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February 17, 2022 2:14 PM
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The role of antibody responses against glycans in bioprosthetic heart valve calcification and deterioration | Nature Medicine

The role of antibody responses against glycans in bioprosthetic heart valve calcification and deterioration | Nature Medicine | Immunology | Scoop.it
Bioprosthetic heart valves (BHVs) are commonly used to replace severely diseased heart valves but their susceptibility to structural valve degeneration (SVD) limits their use in young patients. We hypothesized that antibodies against immunogenic glycans present on BHVs, particularly antibodies against the xenoantigens galactose-α1,3-galactose (αGal) and N-glycolylneuraminic acid (Neu5Gc), could mediate their deterioration through calcification. We established a large longitudinal prospective international cohort of patients (n = 1668, 34 ± 43 months of follow-up (0.1–182); 4,998 blood samples) to investigate the hemodynamics and immune responses associated with BHVs up to 15 years after aortic valve replacement. Early signs of SVD appeared in <5% of BHV recipients within 2 years. The levels of both anti-αGal and anti-Neu5Gc IgGs significantly increased one month after BHV implantation. The levels of these IgGs declined thereafter but anti-αGal IgG levels declined significantly faster in control patients compared to BHV recipients. Neu5Gc, anti-Neu5Gc IgG and complement deposition were found in calcified BHVs at much higher levels than in calcified native aortic valves. Moreover, in mice, anti-Neu5Gc antibodies were unable to promote calcium deposition on subcutaneously implanted BHV tissue engineered to lack αGal and Neu5Gc antigens. These results indicate that BHVs manufactured using donor tissues deficient in αGal and Neu5Gc could be less prone to immune-mediated deterioration and have improved durability. In a large cohort of patients who underwent aortic valve replacement, antibody responses to glycans present in bioprosthetic heart valves, notably galactose-α1,3-galactose and N-glycolylneuraminic acid, were implicated in valve calcification and deterioration.
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December 29, 2021 3:59 AM
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Complement activation induces excessive T cell cytotoxicity in severe COVID-19

Generation of the C3a complement protein fragment by SARS-CoV-2 infection drives differentiation
of a CD16-expressing T cell population that associates with severe COVID-19 disease
outcomes.
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more covid information 

https://www.scoop.it/topic/immunology?q=covid

 more complement information

https://www.scoop.it/topic/immunology?q=covid

 

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June 13, 2021 3:40 AM
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https://www.medrxiv.org/content/10.1101/2021.06.08.21258481v1.full.pdf

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March 27, 2021 4:15 AM
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Herd Immunity - an overview | ScienceDirect Topics

Herd Immunity Herd immunity is essentially a simple concept describing the totality of naturally acquired and vaccine-based immunity to a given infectious agent as a proportion of the whole population. From: Handbook of Models for Human Aging, 2006 Related terms: View all Topics Models for the Study of Infection in Populations John R. Williams, in Handbook of Models for Human Aging, 2006 HERD IMMUNITY Herd immunity is essentially a simple concept describing the totality of naturally acquired and vaccine-based immunity to a given infectious agent as a proportion of the whole population. While the individual objective of vaccination is clearly to prevent or reduce the risk of infection for the individual concerned, the public health objective of vaccination is to increase the level of herd immunity to that required for control or elimination of the infection from the population, and in the longer term on a regional or global scale to eradicate the infection altogether. (Note the distinction between elimination where an infectious agent is no longer present in a particular population and eradication in which the agent is eliminated world- or region-wide; the smallpox virus remains, at the time of writing, the only infection for which global eradication has been achieved.) The term herd immunity is occasionally used to describe the level of population immunity that will result in elimination of a specific infection from a population, but here herd immunity for elimination would be more appropriate. This level of herd immunity for elimination is that at which an infection cannot propagate effectively in the population; at this level of immunity there may be some secondary cases or even short chains of infection, but these chains are sooner or later broken and prove insufficient to prevent the infection from dying out. In other words, the effective reproduction number, R, in these circumstances is less than 1.0. Herd immunity is obviously dynamic, as natural or vaccine-based immunity is lost over time through waning of immunological memory or deaths of immune individuals, and newly susceptible individuals arrive through births or migration. Thus to maintain the effectiveness of vaccination programs, vaccine coverage and herd immunity need to be monitored at regular intervals and if necessary a strategy planned, informed by dynamic modeling, of supplementary vaccination programs introduced to boost herd immunity to the necessary level (Nokes and Anderson, 1988). Epidemiology and control of community infections D. Reid, D. Goldberg, in Medical Microbiology (Eighteenth Edition), 2012 Herd immunity Herd immunity is an important element in the balance between the host population and the micro-organism, and represents the degree to which the community is susceptible or not to an infectious disease as a result of members of the population having acquired active immunity from either previous infection or prophylactic immunization (see p. 731). Herd immunity can be measured: 1 Indirectly from the age distribution and incidence pattern of the disease if it is clinically distinct and reasonably common. This is an insensitive and inadequate method for infections that manifest subclinically. 2 Directly from assessments of immunity in defined population groups by antibody surveys (sero-epidemiology) or skin tests; these may show ‘immunity gaps’ and provide an early warning of susceptibility in the population. Although it may be difficult to interpret the data in absolute terms of immunity and susceptibility, the observations can be standardized to reveal trends and differences between various defined population groups in place and time. The decision whether to introduce herd immunity artificially by immunization against a particular disease will depend on several epidemiological principles. • The disease must carry a substantial risk. • The risk of contracting the disease must be considerable. • The vaccine must be effective. • The vaccine must be safe. The effectiveness and safety of immunization programmes are monitored by observing the expected and actual effects of such programmes on disease transmission patterns in the community by appropriate epidemiological techniques. Cervical Cancer: Screening, Vaccination, and Preventive Strategies Paolo Giorgi Rossi, Francesca Carozzi, in Encyclopedia of Cancer (Third Edition), 2019 Vaccination of boys Herd immunity is the main driver for the proposal of universal vaccination, that is, including boys and girls. With growing evidence of the involvement of HPV in a relevant proportion of head and neck cancers, in particular oropharynx (Plummer et al., 2016), it has become clear that the burden of vaccine-preventable disease in males is not negligible (de Martel et al., 2017). The vaccine has proven to be effective also on precancerous lesions of genital mucosae in males (Palefsky et al., 2011). Nevertheless, most models still predict that the largest benefit of vaccinating boys is the indirect effect on cervical cancer in women due to the reduction of circulating virus and to establishing of herd immunity faster (Brisson et al., 2011). The opportunity and cost effectiveness of vaccinating boys is still under debate, with the extreme heterogeneity of policies adopted in industrialized countries reflecting this uncertainty. Given the very high incidence of HPV-related cancers in males having sex with males, there is consensus that vaccinating this group is opportune (Markowitz et al., 2014; Kirby, 2015; Sauvageau and Dufour-Turbis, 2016), even though implementing effective strategies to target high-risk populations without indirectly fostering discrimination or stigmatization is challenging. Influenza vaccine—live Catherine J. Luke, ... Kanta Subbarao, in Vaccines (Sixth Edition), 2013 Herd immunity and indirect protection from LAIV Herd immunity is defined as the proportion of persons with immunity in a given population,180 and the indirect protection afforded by this immunity to the unimmunized segment of the population is defined as the herd effect. Herd immunity has been demonstrated for infectious diseases of viral and bacterial etiology, and it is widely accepted that this phenomenon occurs with influenza.181 Despite the facts that influenza vaccine policy in the United States has been focused on the immunization of persons aged 65 years and older and that vaccination rates increased from 31% to 67% between 1989 and 1997, influenza epidemics still cause widespread morbidity and mortality in this age group.181–183 Several lines of evidence suggest that widespread immunization of otherwise healthy populations may result in interruption of transmission of influenza and thereby may indirectly protect those in high-risk groups. For example, vaccination of health care workers was associated with reduced morbidity and mortality from influenza among nursing home residents,184–188 and health care workers now constitute a priority group for influenza vaccination in the United States.169 Widespread vaccination of schoolchildren has also been proposed as a measure to reduce the burden of influenza in the community, because children are important vectors for the spread of influenza. The ability to modify the course of an influenza outbreak by vaccination of schoolchildren has been demonstrated in several studies. A vaccination rate of 86% in schoolchildren in Tecumseh, Michigan, with a monovalent inactivated vaccine, resulted in a three-fold reduction in the excess attack rate for the community from influenza compared with a neighboring community in which schoolchildren were not vaccinated.189 A clear difference was observed in the rates of school absenteeism between the communities, and there was evidence that protection was not limited to children of school age. In Japan, vaccination of schoolchildren was mandatory between 1977 and 1987. In 1987, the laws were relaxed, and parents could decide whether or not their children received vaccine. In 1994, vaccination rates fell to low levels amid doubts about the effectiveness of the program. In an analysis of all-cause mortality and death attributed to influenza and of vaccination rates from Japan and from the United States between 1949 and 1998, Reichert and colleagues found that excess mortality rates, predominantly in older persons, dropped significantly in Japan with initiation of the vaccination program for schoolchildren, from rates 3 to 4 times those in the United States to rates similar to the United States.190 Excess mortality rates in Japan increased with discontinuation of the vaccination program for schoolchildren. From a practical standpoint, LAIV could be an extremely effective method to achieve herd immunity if high vaccination rates with an efficacious vaccine are achieved in schoolchildren and influenza transmission to other segments of the community is interrupted. Large numbers of children could be vaccinated in a short period of time, and intranasal administration is preferred over injection of inactivated vaccine. There is evidence from several studies that this is an effective approach. A study conducted in the 1990s demonstrated that vaccination of schoolchildren with either inactivated or Russian LAIV resulted in significant protection. In schools where the children received LAIV, vaccination rates and illness among staff and unvaccinated children were inversely correlated, suggesting reduction of transmission as a result of vaccination. Such a correlation was not seen in the schools where children received inactivated vaccine or in schools where children received placebo.191 There are several studies in a community in central Texas that report both direct and indirect protection against ILI afforded by vaccination of children. In these studies, age-specific rates of MAARI during the influenza season in intervention communities, where children received LAIV, were compared with rates in comparison communities, where children did not receive vaccine. Vaccination of approximately 20% to 25% of children, 1.5 to 18 years of age, in intervention communities resulted in indirect protection of 8% to 18% against MAARI in adults older than 35 years. This small effect may translate into a substantial effect at the population level. Moreover, the size of this effect may be diluted from use of clinical rather than laboratory endpoints.192 In another study, significant protection against laboratory-confirmed influenza illness and pneumonia and influenza events was observed in the children who received LAIV, but not in those who received TIV. Indirect effectiveness against MAARI was observed in 5- to 11-year-old children and in 35- to 44-year-old adults.193 In a third study,194 when schoolchildren were vaccinated with LAIV against antigenically mismatched influenza viruses, significant indirect protection from influenza was observed in all age groups, with the exception of those aged 12 to 17 years. Combined virologic surveillance and MAARI visit data suggested that a single dose of LAIV provided better protection against influenza than TIV. King and colleagues reported a small pilot study followed by a larger, multistate, school-based immunization intervention study using LAIV.195,196 In the pilot study,195 significant (45% to 70%) relative reductions in fever or respiratory illness–related outcomes including physician visits by adults, physician visits by children, prescription or other medicines purchased by household members, and family schooldays and workdays missed, were observed for intervention ("target") school households compared with control school households. In the larger trial, intervention school households reported significantly fewer ILI-related doctor or clinic visits for children; fewer episodes of fever plus cough or sore throat in children and adults; lower ILI-related prescription, over-the-counter, and herbal medication use for ILI; lower absenteeism rates for elementary and high-school students; and fewer missed workdays for adults caring for their own ILI or for others during the peak influenza week. Relative reductions across these outcomes ranged from 25% to 40%, again confirming indirect as well as direct benefit. Limitations of this study included the lack of placebo groups and the use of questionnaires for reporting of ILI. In summary, a large body of data demonstrates the effectiveness of vaccination of schoolchildren for the control of influenza in communities, from both direct and indirect effects of immunization. Both LAIV and TIV are highly efficacious against influenza in children, and a mechanism to explain how LAIV could afford better indirect protection is not clear. The data from these studies support the widespread vaccination of schoolchildren as a means of reducing morbidity and mortality in other high-risk members of communities. Vaccine-Preventable Diseases In Immunology for Pharmacy, 2012 Summary • Herd immunity forms the theoretical basis for mass vaccination programs. • In the twentieth century, mass vaccination programs were highly successful in eradicating childhood diseases such as diphtheria, pertussis, and tetanus. • Vaccines administered by the subcutaneous or intramuscular route prevent dissemination of bacteria or viruses to multiple organs but may not prevent infection. • Vaccines that are administered by the intranasal route prevent both infection and dissemination of bacteria or viruses. • Bacterial antigens used in vaccines are usually stable. • Viral antigens often change as a consequence of antigenic drift, antigenic shift, or genetic reassortment. Community Protection Paul E.M. Fine, ... W. John Edmunds, in Plotkin's Vaccines (Seventh Edition), 2018 Case Reproduction Numbers We can approach this herd immunity concept from an alternative, and equally informative, perspective. If an infection is to persist, each infected individual must, on average, transmit the agent to at least one other individual. If not, incidence will decline and the infection will disappear progressively from the population. The number, or distribution, of actual onward transmissions per case thus describes the spread of an infection in a population, and it is a function of four things: (1) the duration of infectiousness; (2) the likelihood of transmission per “contact” between infectious and susceptible individuals; (3) the rate and pattern of contact between members of the host population; and (4) the proportion susceptible in the host population. Its value under any set of circumstances is known as the reproduction number of the infection, by analogy with standard demographic measures (the average number of progeny per individual per generation). This average number of actual transmissions should be at a maximum if all members of the host population are susceptible—in which circumstance it is known as a basic reproduction number (R0), defined formally as the average number of transmissions expected from a single primary case introduced into a totally susceptible population.14,15 This definition can be translated directly into the mass action formulation (Eq. 1) by setting Ct = 1 and St = T, to represent the single case introduced into a fully susceptible population. The number of secondary cases, Ct + 1, is then equivalent, by definition, to the basic reproduction number (R0): [Eq. 4]Ct+1=T×r=R0 This basic reproduction number describes the maximal spreading potential of an infection in a population. Continuing with the example in Fig. 77.3, the introduction of a single primary case into the population of T = 100,000 susceptible persons should lead to 10 secondary cases (Ct+1=100,000 × 0.0001 = 10 = R0). Table 77.2 shows examples of numerical values of this statistic that are applicable to different infections and derived by methods described later. Fig. 77.5A is an illustration of the concept. If immune individuals are present in a population, then some of the contacts of infectious individuals will be with these immune persons, and hence will fail to lead to transmission. As a result, the average number of actual infection transmissions per case will be less than the basic case reproduction number, and this has been defined as the net, or actual, or effective, reproduction number (Rn).13,14 The actual number of transmissions (Rn) should be equivalent to the basic case reproduction number (R0) times the proportion susceptible in the population (S): [Eq. 5]Rn=R0×S By this expression, if the proportion susceptible (S) were equal to the reciprocal of the basic reproduction number of the infection (1/R0), the average number of transmissions per case (Rn) should be 1, and thus incidence should remain constant over time. Fig. 77.5B illustrates this, and it once again leads us directly to the herd immunity threshold (H). Because the proportion immune is just the complement of the proportion susceptible (H = 1 − S), we have [Eq. 6]H=1−1/R0=(R0−1)/R0 The same expression can also be derived just by combining Eqs. 3 and 4. As long as the proportion immune is maintained above this threshold, incidence should decrease, ultimately to the point of eradication of the infection from the population. Fig. 77.6 shows the relationship graphically, which shows the implications for persistence or decline of an infection depending on its basic reproduction number and the proportion of immune persons in the population.1,13,16 Poliovirus vaccine—inactivated Emmanuel Vidor, Stanley A. Plotkin, in Vaccines (Sixth Edition), 2013 Herd immunity The best evidence for a herd immunity effect of IPV is the experience in the United States where IPV was introduced into routine use in 1955 and was replaced by OPV in 1962. A sharp drop in the numbers of cases of paralytic and nonparalytic polio was evident during the years 1955 to 1962 (Figure 27-5). The apparent reduction in the number of cases observed exceeded the expectation based on the percentage of children vaccinated (Figure 27-6).214 More specific regional data were published that suggested a greater than expected reduction in polio cases.215 The second example of herd immunity comes from the Netherlands where vaccination is refused by a religious community that is well dispersed throughout the country, although IPV is routinely administered to the rest of the population. Two outbreaks of polio have occurred in this religious group, one caused by type 1 virus in 1978 (110 cases) and the second by type 3 virus from 1992 to 1993 (71 cases). Despite the wide circulation of the virus in this community, there was only one case of polio in other Dutch communities. Approximately 400,000 unvaccinated individuals not belonging to this religious community also remained unaffected.216–220,270 The virulent viruses also spread to similar religious groups in North America, but cases only resulted from the 1978 outbreak.221–223 Oostvogel et al224 did an analysis of the circulating viruses in schools affected by the outbreak from 1992 to 1993. Proof of recent type 3 infection was found in 59.5% of the unvaccinated children and in 22.2% of the vaccinated children. The evidence for herd immunity comes from countries where oral-to-oral transmission was probably the dominant mode of interhuman poliovirus transmission. It is less clear if IPV is able to induce herd immunity in countries where the fecal-to-oral route is thought to be the primary role in transmission. Rabies Control in Wild Carnivores RICHARD C. ROSATTE, ... DAVID H. JOHNSTON, in Rabies (Second Edition), 2007 10.2 Bait density Control ultimately depends on establishing herd immunity through animals taking baits and sero-converting. Hence, bait density must correlate with animal density in some positive fashion (Rosatte and Lawson, 2001). This includes the density of all bait-consuming species, not just the target vector. Non-target species, such as opossum (Didelphis virginiana), may consume a considerable proportion of baits intended for raccoons. In urban habitats, raccoon density may be extremely high, e.g. in Washington DC raccoon density was 67–333/km2 (Riley et al., 1998). High bait densities will be required to reach a substantial portion of the population. In Scarborough, Ontario, where raccoon density ranged from 37 to 94/km2 (Broadfoot et al., 2001), raccoon acceptance of baits was 74% when bait density was 200/km2 (Rosatte and Lawson, 2001). Roscoe et al. (1998) used fishmeal polymer V-RG baits at a density 64/km2 in the Cape May area of New Jersey to control raccoon rabies during 1992–1994. Tetracycline was detected in 73% of the sampled raccoons and 61% of the raccoons tested seroconverted (Roscoe et al., 1998). In Newfoundland, under severe winter snowconditions, Whitney et al. (2005) eradicated an invading epizootic of arctic-strain rabies in red fox using a density of 35 baits/km2 and, in France, Vuillaume et al. (1998) distributed vaccine baits at fox dens at a density of 11.4 baits/den. Given the wide variation in results in a small number of trials, it is necessary in planning ORVPs to consider other factors, such as the methods of vaccine placement, timing of vaccination, spatial variations in animal density and bait design (Table 18.1) (Bachmann et al., 1990; Robbins et al., 1998; Olson et al., 2000; Rupprecht et al., 2004). TABLE 18.1. Baiting success guidelines derived from counts of tetracycline biomarker lines in teeth of carnivore vector species Species (location)a Sample (n) (year class) Total tetracycline biomarker (%+) Median (range), tetracycline biomarker lines/(+) animal Baiting success, guideline (Type) Red fox (NL)b 25 (1st year class) 66 6.3 (1–11) BSG, Type 1 Coyote (TX)c 117 (1st year) 82 3.3(1–8) BSG, Type 1 Red fox (ON)d 210 (all years) 70 2.8 (1–28) BSG, Type 2 Red fox (DE-Rügen)e 28 (all years) 75 2.5 (1–7) BSG, Type 2 Red fox (CZ)f 19 210 (all years) 78 2.0 BSG, Type 2 Raccoon (NY)g 207 (all years) 73 2.0 (1–9) BSG, Type 2 Raccoon (OH)h 22 (1st year) 76 1.5(1–6) BSG, Type 2 Gray fox (TX)c 141 (1st year) 36 2.1 (1–5) BSG, Type 3 a NL = Newfoundland, TX = Texas, ON = Ontario, DE = Deutschland, CZ = Czech Republic, OH = Ohio; b Whitney et al. (2005); c Sidwa et al. (2005); d Johnston and Voigt (1982); e Müller et al. (unpublished); f Matouch and Vitasek (2005); g Bigler and Lein (2001); h Nohrenberg, USDA(unpublished). Neisseria meningitidis David S. Stephens, Michael A. Apicella, in Mandell, Douglas, and Bennett's Principles and Practice of Infectious Diseases (Eighth Edition), 2015 Herd Immunity and Introduction Strategies Protection against the bacterial meningitis pathogens through herd immunity is a remarkable, powerful, and unanticipated effect of bacterial polysaccharide-protein conjugate vaccines.35 Herd immunity can account for approximately one half of their effectiveness at preventing disease and has significantly enhanced their cost-effectiveness. It is an important strategy for vaccine introduction, implementation, and evaluation. As noted, in 1999 to 2000 the meningococcal serogroup C conjugate vaccines were introduced in the United Kingdom as a broad catch-up campaign for those younger than 19 years of age, reduced nasopharyngeal carriage of serogroup C in adolescents more than 75%, and created herd immunity that has persisted for more than a decade.413,417 The explanation for this remarkable herd immunity effect is the low R0 (basic reproduction number, or the average number of secondary infectious cases that are produced by a single index case in completely susceptible population), estimated at 1.3, for meningococcal disease providing herd immunity with 17% to 26% vaccine coverage of the population.35,434 In contrast, measles, mumps, pertussis, polio, and rubella have an R0 greater than 5 and require much higher thresholds (i.e., >80% for herd immunity).427 The immunologic basis of mucosal (herd) immunity with conjugate vaccines remains unclear. Generation of capsule-specific mucosal immunoglobulins, transudation of high-avidity serum IgG to mucosal surfaces, and Th17-induced immunity via macrophage clearance have been proposed.35 Cost-effectiveness, measured as a quality-adjusted life-year (QALY) score, is increasingly becoming an important consideration of vaccine recommendations in public health.419 Using standard cost-effectiveness methods, a recent analysis estimated a routine infant meningococcal vaccination program was approximately $647,000 per QALY saved compared with the $157,000 per QALY saved with the two-dose adolescent vaccination program at the current price of $90 a dose. The ACIP concluded that routine infant meningococcal vaccination with HibMenCY was not cost-effective at this time.433
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Frontiers | Editorial: The Role of Complement in Tumors | Immunology

strategies to counteract the tumor-promoting traits of C5b-9 and potentiate anti-tumoral actions (including enhanced efficacy of antibody-based immunotherapy) may be the next major direction for immuno-oncology.As described by Geller and Yan, membrane and soluble complement regulatory proteins (CRPs) prevent excessive complement activation (11). Therefore, over-expression of CRPs by tumor cells protects them against complement-mediated attack, interferes with anti-tumor therapies, and enhances metastatic potential. The application of CRPs as prognostic biomarkers and therapeutic targets is discussed, along with the potential for combinatorial approaches with other anti-tumor therapies.The first subcomponent of the classical complement pathway, C1q is a pattern recognition molecule locally synthesised by macrophages and dendritic cells (12). Bioinformatics analysis by Mangogna et al suggests C1q as a new prognostic biomarker for several cancers (13).Since the seminal paper of Markiewski et al in 2008 identifying a role for C5a in promoting tumor progression (14), similar effects have been demonstrated in a range of murine cancer models. Wang et al (15) propose C3aR and C5aR1 as a new class of immune checkpoints. They discuss findings suggesting that C3aR/C5aR signalling regulates T cell mediated antitumor immunity via transcriptional suppression of interleukin (IL)-10. Given resistance of the majority of patients to the current forms of immunotherapy, and adverse reaction
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An inhibitor of complement C5 provides structural insights into activation | PNAS

An inhibitor of complement C5 provides structural insights into activation | PNAS | Immunology | Scoop.it
Significance The complement system is a crucial antimicrobial system in the human body. However, controlling its regulation is essential, and failure to do so is implicated in a number of clinical inflammatory pathologies leading to great interest in therapeutic complement inhibition. We have identified and characterized a class of complement inhibitors from biting ticks. Utilizing both cryoelectron microscopy and X-ray crystallography we provide a comprehensive understanding of their mechanism of inhibition at the level of the terminal pathway of complement. We present a high-resolution cryoelectron microscopy structure of complement C5, the molecule targeted by the major therapeutic Eculizumab. In addition, we reveal the fold of the CirpT family of tick inhibitors and their unique mode of inhibition. Abstract The complement system is a crucial part of innate immune defenses against invading pathogens. The blood-meal of the tick Rhipicephalus pulchellus lasts for days, and the tick must therefore rely on inhibitors to counter complement activation. We have identified a class of inhibitors from tick saliva, the CirpT family, and generated detailed structural data revealing their mechanism of action. We show direct binding of a CirpT to complement C5 and have determined the structure of the C5–CirpT complex by cryoelectron microscopy. This reveals an interaction with the peripheral macro globulin domain 4 (C5_MG4) of C5. To achieve higher resolution detail, the structure of the C5_MG4–CirpT complex was solved by X-ray crystallography (at 2.7 Å). We thus present the fold of the CirpT protein family, and provide detailed mechanistic insights into its inhibitory function. Analysis of the binding interface reveals a mechanism of C5 inhibition, and provides information to expand our biological understanding of the activation of C5, and thus the terminal complement pathway. Footnotes ↵1Present address: MRC Laboratory of Molecular Biology, CB2 0QH Cambridge, United Kingdom. ↵2Present address: Department of Biochemistry, University of Oxford, OX1 2JD Oxford, United Kingdom. ↵3Present address: Department of Physiology, Anatomy and Genetics, University of Oxford, OX1 2JD Oxford, United Kingdom. ↵4Present address: Institute of Molecular Biotechnology, Austrian Academy of Sciences, Vienna Biocenter, 1030 Vienna, Austria. ↵5Present address: Department of Medical Microbiology, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands. ↵6To whom correspondence may be addressed. Email: susan.lea{at}path.ox.ac.uk. Author contributions: S.J., M.M.J., and S.M.L. designed research; M.P.R., S.J., T.T., T.M., N.T., N.P., J.C.D., M.M.J., and S.M.L. performed research; M.P.R., S.J., N.P., M.M.J.., and S.M.L. analyzed data; and M.P.R., S.J., and S.M.L. wrote the paper. Competing interest statement: M.M.J. and S.M.L. are authors on a patent applied for that describes members of the inhibitor family as potential protein therapeutics. This article is a PNAS Direct Submission. Data deposition: X-ray coordinates and data have been deposited into the Protein Data Bank (PDB), www.pdb.org (PDB ID code 6RPT). The electron microscopy coordinates and volumes have been deposited into the PDB (PDB ID code 6RQJ) and the Electron Microscopy Data Bank, https://www.ebi.ac.uk/ (EMDB ID code EMD-4983). This article contains supporting information online at https://www.pnas.org/lookup/suppl/doi:10.1073/pnas.1909973116/-/DCSupplemental. Copyright © 2019 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).
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July 27, 2019 12:15 PM
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Frontiers | Platelets and Immune Responses During Thromboinflammation | Immunology

Frontiers | Platelets and Immune Responses During Thromboinflammation | Immunology | Immunology | Scoop.it
Besides mediating hemostatic functions, platelets are increasingly recognized as important players involved in inflammation. Data from experiments in mice and men revealed various points of intersection between thrombosis, hemostasis and inflammation, which are addressed and discussed in this review in detail. One such example is the intrinsic coagulation cascade that is initiated after platelet activation thereby further propagating and re-enforcing wound healing or thrombus formation, which contributes to the pathophysiology of severe diseases. FXII of the intrinsic pathway connects platelet activation with the coagulation cascade during immune reactions. It can activate the contact system thereby either creating an inflammatory state or accelerating inflammation. Recent insights into platelet biology could show that platelets are equipped with complement receptors. Platelets are important for tissue remodeling after injury has been inflicted to the endothelial barrier and to the subendothelial tissue. Thus, platelets are increasingly recognized as more than just cells relevant for bleeding arrest or thrombus formation, and further interesting insights into platelet biology are to be discovered. In the future this understanding will potentially offer novel opportunities for therapeutic intervention in diseases, where platelets are involved.
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June 22, 2019 5:49 AM
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Neutrophil extracellular traps can activate alternative complement pathways - Wang - 2015 - Clinical & Experimental Immunology - Wiley Online Library

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May 11, 2019 7:05 AM
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JCI Insight - Differential transcriptome and development of human peripheral plasma cell subsets

JCI Insight - Differential transcriptome and development of human peripheral plasma cell subsets | Immunology | Scoop.it
Research ArticleImmunology Free access | 10.1172/jci.insight.126732 Differential transcriptome and development of human peripheral plasma cell subsets Swetha Garimilla,1 Doan C. Nguyen,2 Jessica L. Halliley,3 Christopher Tipton,4,5 Alexander F. Rosenberg,6 Christopher F. Fucile,7 Celia L. Saney,2 Shuya Kyu,2 Denise Kaminski,8 Yu Qian,9 Richard H. Scheuermann,9 Greg Gibson,1 Iñaki Sanz,4,5 and F. Eun-Hyung Lee2,5 First published April 2, 2019 - More info Abstract Human antibody-secreting cells (ASCs) triggered by immunization are globally recognized as CD19loCD38hiCD27hi. Yet, different vaccines give rise to antibody responses of different longevity, suggesting ASC populations are heterogeneous. We define circulating-ASC heterogeneity in vaccine responses using multicolor flow cytometry, morphology, VH repertoire, and RNA transcriptome analysis. We also tested differential survival using a human cell-free system that mimics the bone marrow (BM) microniche. In peripheral blood, we identified 3 CD19+ and 2 CD19– ASC subsets. All subsets contributed to the vaccine-specific responses and were characterized by in vivo proliferation and activation. The VH repertoire demonstrated strong oligoclonality with extensive interconnectivity among the 5 subsets and switched memory B cells. Transcriptome analysis showed separation of CD19+ and CD19– subsets that included pathways such as cell cycle, hypoxia, TNF-α, and unfolded protein response. They also demonstrated similar long-term in vitro survival after 48 days. In summary, vaccine-induced ASCs with different surface markers (CD19 and CD138) are derived from shared proliferative precursors yet express distinctive transcriptomes. Equal survival indicates that all ASC compartments are endowed with long-lived potential. Accordingly, in vivo survival of peripheral long-lived plasma cells may be determined in part by their homing and residence in the BM microniche. Graphical Abstract Introduction High-affinity IgG and IgA antibodies provide serological memory that affords protection against previously encountered pathogens. The serologic protection is mediated by long-lived plasma cells (LLPCs), which have been identified in human bone marrow (BM) and the gastrointestinal tract (1–3). Initial response to vaccination is mounted by proliferative antibody-secreting cells (ASCs), which are highly enriched for antigen-specific cells that undergo a massive expansion for approximately 5–14 days after immunization (4–7). Yet, a fundamental gap in understanding remains regarding whether intrinsic programs of the ASC or extrinsic environmental factors determine survival to become an LLPC. The classic ASC population in blood is based on the relative expression of CD38 and CD27 on CD19+ cells. However, heterogeneity of the circulating ASC populations has been described extensively (8–12). Characterization of the CD19+ ASCs has recognized both CD138+ and CD138– populations in the blood after vaccination (4, 9, 12–14) and during steady state (12). Additional markers such as HLA-DR, Ki-67, CD95, and CD126 demonstrate recent activation of the ASCs in the blood after immunization (13). However, by focusing only on CD19+ ASCs (after excluding CD20+ cells), the complexity of blood ASC subsets in healthy vaccine responses would not have considered the CD19– ASC populations that resemble LLPCs (1). In autoimmune patients, the CD19– ASCs appear in the blood of diseased patients during flares (15), and recently, CD19–ASCs were also described after vaccination of healthy adults (14). Interestingly, contrary to proposed models of the release of old PCs from BM microniches, the CD19– ASC subsets in the blood were shown to have a fraction of new ASCs generated in response to vaccination (14). The identification of CD19–CD38hiCD138+ LLPCs (1) suggests that unique surface markers may play a role in maintaining survival. For example, CD138 was shown to play a direct role in PC survival in mouse models (16). By contrast, the role of CXCR4 in long-lived survival may be related to BM homing rather than intrinsic mechanisms (11). Additionally, loss of markers such as CD19, HLA-DR, and BCR may play a role in survival, although there is little evidence for this observation. Another interpretation for the loss of some markers may actually reflect distinct changes in the intracellular pathways such as G2M checkpoints, metabolism, apoptosis, and autophagy that have been described to sustain LLPCs (1, 17, 18). Nonetheless, it is unclear whether the unique surface markers on heterogeneous ASC populations signify intrinsic differences in cell survival programs. Germinal center responses play a crucial role in LLPC generation. It is thus possible that specific blood ASCs are imprinted during priming in the germinal center by the local milieu consisting of IL-21 from T follicular helper (Tfh) cells, follicular dendritic cells, and other T cell help (19–23). Thus, ASC heterogeneity may have evolved to distinguish particular ASC subsets with unique intrinsic mechanisms that are programmed to become long-lived. In addition to intrinsic mechanisms, extrinsic factors appear to play a critical role in LLPC survival. The BM survival niche plays an important role in the maintenance of LLPCs. The specialized niche that consists of hypoxia, secreted factors from the BM mesenchymal stromal cells (MSCs), and the cytokine APRIL, has recently been shown to maintain human ASCs for over 50 days in culture (24). Whether this environment actually changes the phenotype of the peripheral circulating blood ASCs into LLPCs or merely provides survival factors is still unclear. In this study, we used FLOw Clustering without K (FLOCK), an automated flow cytometry analysis program (4), to identify 5 distinct populations of ASCs that can be consistently isolated from human blood. Our data validate 3 CD19+ and 2 newly described CD19– ASC populations after vaccination. We also show that the majority of circulating CD138+ ASCs (both CD19+ and CD19–) are active participants in new vaccine responses and have undergone recent proliferation. Next-generation sequencing (NGS) analysis of the VH repertoire shows oligoclonality with a large degree of interconnectivity among the 5 subsets, and despite unique RNA signatures distinguishing populations 2 and 3 (CD19+) from population 5 (CD19–), those 3 populations have similar long-lived survival potential. Results Heterogeneity of human ASC subsets in blood. Human antibody responses after vaccination strongly correlate with a transient increase in circulating ASCs characterized by a CD19+CD27hiCD38+ phenotype (4, 25–28). However, the exact contribution of such cells to the long-lived protective antibody production is unclear, in part due to incomplete characterization of the ASC response and over-reliance on the expression of CD19. To address these questions, we performed PBMC fractionation of CD19+ and CD19– populations within CD3–CD14– cells at the peak of the ASC response after tetanus toxoid and influenza vaccination (6–7 days after immunization) (6). Interestingly, CD19– fractions were detected, albeit smaller in frequency than the CD19+ fractions (Figure 1A). Given the high frequency of vaccine-specific ASCs in both fractions, CD19+ and CD19– cells were analyzed using flow cytometry, yielding 5 putative ASC subsets distinguished by their relative expression of CD38 and CD138; these are population (pop) 1 (CD19+CD38+CD138–), pop 2 (CD19+CD38hiCD138–), pop 3 (CD19+CD38hiCD138+), pop 4 (CD19–CD38hiCD138–), and pop 5 (CD19–CD38hiCD138+) (Figure 1A and Table 1). Figure 1 ASC subsets in human blood 7 days after tetanus vaccination. (A) Top panels divide the CD19+ and CD19– fractions. Lower panels represent subsets of CD19–IgD– (left) and CD19+IgD– (right) fractions. (B) Morphology of blood ASC subsets (×100 magnification) by Wright-Giemsa stain. Left column: Sorted blood ASC subsets on day 7 after tetanus vaccination. ASC populations (pops) 1 to 5 and naive B cells are shown. Right column: Percentage of intracellular BLIMP-1 staining per subset is shown in blue histograms (naive controls in red). (C) Percentage of each ASC subset and naive B cells (N) expressing IgG, IgA, or IgM isotypes after peak vaccination. (D) Quantification of each blood ASC subset (pops 1 to 5) in cells/ml (top) and percentage of PBMCs (bottom). (E) Quantitative RNA expression of 5,000 sorted ASC subsets and naive and memory B cells for Pax5 (top), BLIMP-1 (middle), and Xbp-1 (lower), normalized to GAPDH in blood. Relative mRNA expression is expressed in arbitrary units. Table 1 Phenotype of blood ASC subsets 1 to 5 (number, %) We also employed an unbiased automated flow-gating program, FLOCK, with CD19+ and CD19– fractions, and validated these 5 subsets. FLOCK clusters cells in multidimensional hyperdense regions for each of the markers and separates cells into different subsets if they differ from other clusters in at least one marker/dimension. Previously, we identified pop 1 within the CD19+ fractions using FLOCK (4), although it is a relatively minor fraction of the CD19+ ASCs. This unsupervised approach revealed no additional ASC subsets for 6 subjects (Supplemental Figure 1 and Supplemental Table 1; supplemental material available online with this article; https://doi.org/10.1172/jci.insight.126732DS1), demonstrating that our characterization using CD19, CD38, and CD138 is useful and consistent for elaborating the cellular basis of humoral immune responses. Morphology and expression of PC transcription factors. The nature of the ASC subsets identified by flow cytometry was validated by multiple approaches including morphology, expression of transcription factors involved in PC differentiation (BLIMP-1 and Xbp-1), and spontaneous antibody secretion. Morphology was ascertained by cytospin with Wright-Giemsa staining of each sorted ASC subset present in the blood after tetanus vaccination of 2 subjects (ages 50 and 59 years). Pops 1 to 5 had ASC characteristics including large size with big, eccentric nuclei and enlarged cytoplasm, distinct nucleoli, and a prominent Golgi zone (Figure 1B). Nearly all cells in pops 2 to 5 had intracellular BLIMP-1 protein detected by flow cytometry (Figure 1B). Interestingly, IgG isotypes were highest in ASC pops 2 to 5 except for pop 1 (Figure 1C). None were observed in naive B cells. Pop 1 had variable expression of BLIMP-1, suggesting it comprises an early or mixed population of ASCs. Pops 2 and 3 (CD19+ subsets) made up the largest frequencies of all the blood ASC subsets, and pops 4 and 5 (CD19– subsets) were the least abundant (Figure 1D). Additionally, pop 4 was quite heterogeneous; thus, additional backgating of the BLIMP-1–positive pop 4 cells showed no difference in forward or side scatter compared to other ASC populations (Supplemental Figure 2). All peripheral blood ASC populations (pops 1 to 5) were characterized by RNA expression of BLIMP-1 and Xbp-1 and absence of Pax5 (Figure 1E). In contrast, Pax5 expression was higher in naive versus memory B cells, neither of which expressed Xbp-1. BLIMP-1 was undetectable in memory B cells. The lack of Pax5 expression and increased BLIMP-1 expression in pop 1 suggests a process of differentiation from a B cell into an ASC. Xbp-1 is downstream of BLIMP-1 expression; thus, lower Xbp-1 expression observed in pop 1 compared with pops 2 to 5 also suggests that pop 1 may represent an earlier stage in ASC differentiation, or a mixed population of activated B cells that have already downregulated Pax5. A low level of BLIMP-1 expression was observed in naive B cells, which may have been due to a fraction of activated naive cells, or a small number of contaminating B1 cells, since only IgD and CD27 were used to discriminate the naive population, noting that a low level of BLIMP-1 expression has been reported in mouse B1 cells (29). Flow characteristics of blood ASC subsets. As B cells differentiate into ASCs, they undergo massive proliferation and lose features of B cells (such as CD20 and surface Ig), exit cell cycle, gain expression of BLIMP-1, and upregulate receptors for homing to the BM (30–32). Accordingly, we used multiparameter flow cytometry to evaluate these characteristics (Figure 2 and Table 1). As shown in Figure 2A, CD20 was downregulated on nearly every cell in pops 2 to 5, consistent with the loss of CD20 that begins as early as 7 days after vaccination in newly formed ASCs (4). However, pop 1 contained a mixture of cells positive for CD20, suggesting it is the earliest ASC phenotype with downregulation of Pax5 (Figure 1D). In contrast, surface Ig was highest on pop 1 and gradually downregulated in pops 2, 3, and 5 (~34%–45%; only ~8% in pop 4). These proportions of blood ASCs with surface Ig were higher than those found on LLPC (pop D) BM subsets (1). Interestingly, circulating ASC pops 2, 3, and 5 uniformly expressed high levels of CD27, a member of the tumor necrosis factor receptor (TNFR) family that is upregulated during B cell activation and is linked to PC differentiation (33), whereas the lowest frequencies of CD27 expression were found in pop 1 (~17%) (Figure 2A). Figure 2 Phenotype of blood ASC subsets on day 7 after vaccination. (A) CD20, surface Ig (kappa and lamda), and CD27 staining for blood ASC subsets and naive B cells (CD19+IgD+CD27–) illustrated in blue relative to controls in gray (also shown in right-hand panel). (B) HLA-DR and Ki-67 staining for blood ASC subsets. Far right: CD14+ peripheral blood monocytes served as controls for HLA-DR staining and naive B cells for Ki-67. (C and D) Frequency of CXCR4, CD28, IL-6R, FCGR2B, and BCMA in blood ASC subsets (pops 2 to 5) and naive B cells. Respective numbers of subjects are listed in Table 1. HLA-DR, a marker of cell activation previously shown to decrease during PC maturation (9), was highly expressed on nearly all blood ASC subsets (Figure 2B), which contrasts with its near absence on LLPC BM PC subsets (1, 2). We also found that Ki-67, a nuclear protein associated with recent cell division, was expressed by most cells in pops 2 to 5 and at a lower frequency of cells in pop 1 (Figure 2B). Thus, nearly all postvaccination ASCs in peripheral blood expressed Ki-67, consistent with the idea that these cells were recently generated, again in direct contrast to BM PCs (1). The relative expression of molecules involved in LLPC homing and survival were evaluated on blood ASCs (Figure 2C). For example, CXCR4, a chemokine receptor implicated in PC homing and retention in the BM (32, 34), was most commonly expressed in pop 1 and gradually decreased proportionately in pops 2 through 5 (Figure 2C). CD28, a costimulatory molecule associated with LLPC survival (35), which was known to have approximately 20% expression on BM LLPCs (1), was virtually absent on any of the blood ASC subsets. We previously reported that the IL-6R expression was very low on BM PC subsets despite the important role of IL-6 in PC survival (36). However, in the blood, ASC pops 3 to 5 expressed high levels of IL-6R (Figure 2C). Finally, the expression of the inhibitory FCGR2B, which promotes PC apoptosis (37), showed wide variation from subject to subject, but was typically low in blood ASC subsets compared with BM subsets (1) (Figure 2D). Lastly, B cell maturation antigen (BCMA), also known as TNFR superfamily member 17 (TNFRSF17), the receptor for APRIL, was uniformly expressed on pops 2–5 (Figure 2D), demonstrating the importance of this cytokine. Together, these results demonstrate that blood ASC subsets are Ki-67+ and HLA-DR+, suggestive of recent proliferation and activation. ASC subsets before and after vaccination in blood. Overall, compared with day 0 (~0.5%), we found that ASCs represented a larger fraction of circulating PBMCs 7 days after vaccination but with variable input from the different populations, as CD19+ (pops 1, 2, and 3) contributed in excess of 95%. This frequency is in keeping with the postvaccination levels of circulating ASCs previously established by enzyme-linked immunospot (ELISpot) analysis, which typically represent a 5- to 20-fold increase over steady-state levels (28). Therefore, we sought to determine the relative contributions of the different ASC subsets to this substantial increase after tetanus vaccination. We performed multicolor flow cytometry in 8 healthy adults prior to (i.e., steady state) and at peak vaccine responses. We removed pop 1 due to its low abundance and heterogeneity. The average total number of ASCs in each population increased after vaccination as follows: pop 2 increased by 7.6-fold, pop 3 increased 33-fold, and pop 5 increased by 13-fold. Thus, the relative abundance at steady-state and peak vaccine responses were different. During steady state, pop 2 (~60%–80%) dominated the ASC ratios with almost no pop 5; however, vaccination induced relative increases of expansions of pops 3, 4, and 5 in all 8 subjects, with corresponding decreases in pop 2 proportionally (Figure 3A). This appearance of CD19+CD138+ fractions (pop 3) for healthy adults after immunization is consistent with previous observations after tetanus vaccination (13). Figure 3 Ratios of ASC subsets in blood and BM. (A) Pie charts representing proportions of pops 2, 3, 4, and 5 in the blood from 8 different adult subjects at steady state (top) and at peak (days 6–7) ASC response in blood after tetanus vaccination. The proportion of each ASC subset is represented by the corresponding sector size of the pie chart. Kinetics of the ratios of the ASC in the blood after tetanus vaccination is shown for subject 3 (inset). (B) From 8 additional subjects, ratios of pops A, B, C, and D in the BM and blood pops 2, 3, 4, and 5 were matched at the time of the BM aspirate. ASC subsets in blood and BM (pops 1 and Z) are not included. Pops 2 and A, pops 3 and B, pops 4 and C, and pops 5 and D (LLPC subset) are shown in tan, red, blue, and green, respectively. Frequencies of ASC subsets in blood and BM. Direct comparison of the quality and quantity of the ASC subsets in 8 healthy asymptomatic adults (mean age 48.5, range 43 to 56 years) was also performed for matched blood and BM samples from the same subject. Pop A in the BM, which contains surface markers similar to those in ASC pop 2 in the blood, make up a markedly smaller percentage of BM ASC subsets compared with the blood (Figure 3B). The relative frequencies of the different ASCs were remarkably conserved in all 8 BM samples analyzed, with CD138+ (pops B and D) representing the most abundant subsets. Pop 5 could be detected in the blood in some subjects at steady state, but most of these cells were positive by Ki-67 staining (Figure 2B), thereby distinguishing them from BM pop D (Ki-67–) with the same surface markers (1). We found that at steady state, pop 5 had similar Ki-67+ staining that resembled the blood pop 5 during acute immune responses, implying that they are newly generated ASCs and not BM emigrants released in the blood from the BM niches. NGS of the VH antibody repertoire of ASC subsets. NGS was used to assess the complexity and connectivity of the antibody repertoire expressed by the different ASC subsets. Pops 1 to 5 were sorted from a 45-year-old adult after tetanus vaccination and 3,174; 5,000; 5,669; 2,550; and 1,994 cells, respectively, were collected. NGS was performed using Illumina MiSeq Amplicon sequencing with primers positioned in the framework region FR1 of the VH1–VH6 families, and in constant regions corresponding to the IgM, IgG, and IgA isotypes (Figure 4). Sequences were considered part of the same clonal lineage if they shared the same V and J gene segment rearrangement and a CDR3-H of identical length with at least 85% sequence similarity based on our previous studies (38). Total numbers of lineages for pops 1–5 were 984, 943, 825, 83, and 311, respectively. The overall degree of clonality was quantified using D50 or D20 scores calculated as the number of clonotypes accounting for the top 50% or 20%, respectively, of all size-ranked clones within a given population. For ASC pops 1 to 5 and memory B cells, the IgG D20 scores were 14, 2, 2, 1, 2, and 2, and D50 scores were 65, 4, 6, 3, 5, and 9, respectively, demonstrating that each subset at the peak of the vaccine response is dominated by a small number of substantially expanded ASC clones (Figure 4A). Switched memory (SWM) B cells were also oligoclonal, whereas the naive B cells were polyclonal with D20 and D50 scores of 910 and 3,674, respectively. The diversity of the VH-gene repertoire is demonstrated by the Hill diversity score and was highest in pop 1 compared with the other ASC subsets (Figure 4B). Finally, the composition of the isotypes of the VH sequences in the ASC subsets (Figure 4C) were switched between IgG and IgA sequences, with predominantly IgA compared with IgG in pop 1, whereas pops 2 to 5 and SWM B cells were higher in IgG. Very little IgM isotypes were found in the ASC subsets or SWM B cells, whereas naive B cells contained only IgM sequences, as expected. Figure 4 Next-generation sequencing (NGS) repertoire sequencing of blood ASC subsets. NGS was used to analyze the clonal repertoire of the ASC populations, naive B cells, and isotype-switched memory B cells. (A) Diversity of the repertoire is shown by plotting lineage (clone) size versus the cumulative percentage of sequences determined from size-ranked clones. Largest clones are found at the top of the plot and account for a greater area within the subdivided plots. More diverse repertoires, such as the naive population here, only contain small clones in a more even representation. (B) Hill diversity profiles for each population (with different levels of sampling) demonstrate the overall diversity of the repertoire in each of the ASC populations. (C) Relative quantities of IgM, IgG, and IgA sequences in each subset. Naive is predominantly IgM. Blood ASC subsets 1 to 5 and switched memory B cells show mostly IgG and IgA. (D) Circos plot shows interconnectedness of the ASC populations by plotting the sequences from each population in clonal size–ranked order, with the largest clones being in the most clockwise portion of each population segment. The outer-most track shows the isotype makeup of each clone by color. The next track in shows mutation frequency of each sequence, with more mutations represented as more distal from the center of the plot. The next track in shows the number of sequences, followed by the clonality displayed by a circular stacked bar plot. Here, only the largest 50% of the clones are colored to avoid blurring of small clones. The internal connections show clones found in multiple populations. (E) Stacked bar plots again demonstrate the diversity of the repertoire by showing size-ranked clones as segments taking up a percentage of the total repertoire. The largest 10 clones of all populations are colored and like-colors demonstrate the same clone in multiple populations. (F) The Morisita overlap index demonstrates the similarity of repertoires in various populations as a value from 0 (no similarity) to 1 (identical repertoires). The color strength is indicative of interconnectivity. Next, the actively expanded blood IgG, IgA, and IgM ASCs in response to immunization shared similar repertoires, as shown in the outer circos plot tracks (Figure 4D). Connectivity of the repertoires among subsets is also shown by the circos plot (39) (Figure 4D). Blood ASCs were largely oligoclonal with a repertoire dominated by a few clonotypes, many of which in ASC pops 2 to 5 were shared (Figures 4, D and E). The SWM B cells were also highly oligoclonal with many shared clones, in contrast to the naive B cell subset. Many of these same clones were also shared by ASCs in pop 1, but consisted of much smaller clonal populations (Figure 4E). Pops 1 to 5, as well as SWM B cells, were all highly interconnected as quantified by the high Morisita overlap indices (Figure 4F), but this was not the case comparing ASCs with naive B cells. In conclusion, the VH repertoire analysis demonstrates oligoclonality, rich interconnections, and predominately IgG isotypes among the circulating ASC subsets and SWM B cells on day 7. Mutation analysis and VH lineage analyses. On average, all blood ASC pops 1 to 5, which were mostly class switched to IgG or IgA, were highly mutated with similar average mutation frequency, as defined by the number of mutations in each sequence divided by length of that sequence (Supplemental Figure 3A). Intraclonal mutation analysis was also conducted to determine progression of ASC populations within individual clones. In this analysis, average mutation frequencies for each individual population were compared to average mutation frequencies of all populations in that same clone. By examining the mutation frequencies this way, we can get a better picture of which populations tend to have higher or lower mutation frequencies compared with other populations within the same clone. This analysis showed some deviations of the individual ASC populations’ mutation frequencies, namely that pop 4 tended to have the highest mutation frequencies in clones, while SWM and pop 2 tended to have the lowest (Supplemental Figure 3B). To follow the possibility of sequential acquisition of mutations for the different subsets, we analyzed the VH repertoire of 5 of the largest individual clones that shared lineages in pops 1 to 5 using IgTree (40) and PHYLIP phylogenetic analysis. Within the 5 clones, the number of nodes shared among the various populations of ASCs was striking. No apparent progression or sequential differentiation was found, but instead the ASC populations were highly intermixed throughout the phylogenetic tree. An example of one clone shows a deep IgTree structure with high interconnectedness between populations, illustrating the single origin of the multiple blood ASC subsets (Supplemental Figure 3C). Thus, we concluded that sequential increases in progressive accumulation of mutation did not occur from pops 1, 2, 3, 4, and 5, but each clone segregated into independent branches, demonstrating that both CD19+ and CD19– subsets arise from a common B cell progenitor. Tetanus IgG secretion in blood ASC subsets. The secretory function of different ASC subsets was validated by measurement of constitutive antibody secretion as well as participation in antigen-specific responses after tetanus vaccination. Spontaneous total IgG and tetanus-specific IgG without in vitro stimulation were assessed by ELISpot assays in 6 adults (mean age 44 ± 11 years, range 27–59 years) from blood after tetanus boosting. Cells constitutively secreting IgG were detected in all 5 ASC subsets but not every subject had adequate numbers of pops 4 and 5 for FACS analysis. Nonetheless, tetanus-specific IgG ASCs were highly enriched in both CD19+ (pops 1, 2, and 3) and CD19– (pops 4 and 5) ASC fractions when present (mean 19%, 29%, 33%, 33%, and 25% for pops 1 to 5, respectively) (Figure 5, A and B). Thus, all circulating ASCs (including the CD19– and CD138+ subsets) can contribute similarly to the short-term response to tetanus immunization. Figure 5 Vaccine-specific IgG ASC frequencies 7 days after tetanus vaccination. (A) ELISpot of total IgG (top) and tetanus-specific IgG (lower) ASC frequencies from sorted ASC subsets (pops 1 to 5) in the blood. Naive B cells and total PBMCs are also shown. The total number of sorted cells per well is indicated adjacent to each well. (B) Percentage of tetanus-specific IgG/total IgG ASC frequencies from sorted ASC subsets (pops 1–5) in blood ASC populations from 8 adults. Note: some patients had limited frequencies of pops 4 and 5, which could not be sorted. Comparative transcriptome analysis of 3 ASC subsets. The transcriptomes of pops 2, 3, and 5 were contrasted by analysis of variance of RNA sequencing (RNA-seq) profiles of 6 donors (labeled Sub 06 to 11). Two-way hierarchical clustering of 674 genes differentially expressed among the 3 ASC pops shows that pop 5 is significantly different from pops 2 and 3 (Figure 6A). This basic distinction between the CD19– and CD19+ ASCs is supported by principal component analysis (PCA), since PC1, which captures 56% of the gene expression variance, separates pops 2 and 3 from pop 5, while PC2 (7%) distinguishes pop 2 and pop 3 (Supplemental Figure 4). Furthermore, the 464 genes upregulated in both pops 2 and 3, and 210 genes downregulated relative to pop 5, lead to coclustering of the pairs of samples within individuals, implying that the 2 subtypes are transcriptionally closely related within subjects. Figure 6 Transcriptomic analysis of ASC subsets. (A) Heatmap of 672 transcripts differentially expressed among pop 2, pop 3, and pop 5 RNA-seq profiles from 6 subjects. Red color indicates relatively high expression, blue low expression. Two major blocks of genes upregulated or downregulated in pop 5 relative to pops 2 and 3 are indicated. Sample identities to the right show that pairs of samples from the same individual tend to cluster together. (B) Heatmap of PC1 of 29 gene sets found to be enriched in the differentially expressed genes also shows differentiation of pop 5 from pops 2 and 3, with only minor differences between the latter two. (C) Bubble plots show significantly biased gene sets in each pairwise comparison, with the size of the bubble proportional to the negative logarithm of the P value for the normalized enrichment score indicated along the x axis (see Supplemental Table 2 for full list of pathway names). Gene set enrichment analysis (GSEA) reinforces this similarity between pops 2 and 3 in comparison with pop 5 and highlights 29 gene sets that are differentially regulated. These gene sets summarize biological functions that are likely to differ between the pops, and are visualized in 3 different ways since raw summary statistics can misrepresent the relationship between upregulation of transcription and pathway activity. In Figure 6B (and Supplemental Figure 5), the first principal component, which in all cases explains over 45% of the variance in the gene set and has been polarized to ensure that positive values represent a preponderance of upregulated transcripts in the gene set, suggests upregulated pathways of cellular metabolism (adipogenesis, glycolysis, oxidative phosphorylation, fatty acid metabolism, and mTORC1 signaling), stress-induced pathways (DNA repair, UV response, and unfolded protein response), and cell cycle pathways (E2F targets, Myc targets, and G2M checkpoints) in pops 2 and 3. By contrast, several signaling pathways (JAK-STAT3, PI3K-AKT, IFN response, TGF-β signaling, and TNF-α signaling) as well as the hypoxic response appear to be elevated in pop 5. Figure 6C reinforces most of these conclusions by presenting the results of normalized enrichments scores for each pathway, but further reveals a gradient whereby pop 2 is more extreme than pop 3 for several pathways, namely downregulation of TNF-α signaling and upregulation of Myc and E2F target. G2M checkpoint regulators decreased expression with acquisition of CD138 and loss of CD19. This difference in dysregulated pathways suggests different cellular functions for pops 2 and 3 in comparison with pop 5. To visualize differentially expressed genes contributing to pathways, we used spider plots (Figure 7) to contrast the directions of all genes in a gene set whose transcript abundance significantly differed between 2 or more of the ASC subsets. We included some gene sets from which the hallmark pathways are derived and which were of a priori interest. For example, for apoptosis (contained within allograft rejection), hypoxia, TNF-α signaling, and the cell cycle (E2F targets, G2M checkpoints), pop 5 shows very clear upregulation of specific genes resulting in a green polygon that is more expanded along the arcs of the web, whereas the blue-colored pop 3 and pop 2 differential expression is more similar to one another, producing overlapping polygons. This analysis also indicates reduction in expression of all or most of the indicated genes encoding extracellular matrix (ECM) or unfolded protein response (UPR) functions in pop 5. It is not, however, simple to extrapolate transcript abundance to biological functions. For example, the hypoxic response engages 6 genes involved in autophagy; 3 inhibitors of the process (LDHA, PRKCB, and CYBB) are elevated in pop 2, whereas another, MAPK3, is elevated in pop 5, while PIK3CD and MTOR also regulate ER stress and autophagy, yet are expressed in opposite directions. Prediction of the consequences of differential expression awaits systems modeling that is sensitive to the precise nature of which genes are up- or downregulated jointly. Figure 7 Significantly differentially expressed genes in selected pathways. Spider plots of significantly differentially expressed genes in 6 selected pathways showing differences among the 3 ASC populations. Rays of each plot represent transcript abundance for the indicated gene, with low values in the center and high at the periphery. Polygons link observed transcript levels in each cell type, showing how pop 5 differs from pops 2 and 3. ASC survival potential in a human in vitro BM culture system. To discriminate the differential survival potential upon arrival in the BM microniche, we developed an in vitro cell-free culture system that mimics the human BM microenvironment, as previously described (24). For proof of concept using one abundant blood ASC pop 3, we performed long-term cultures and compared survival for 50 days in the BM MSC secretome alone or secretome with the addition of exogenous APRIL in normoxic or hypoxic conditions from a patient (age 23 years) 7 days after hepatitis A vaccination (Figure 8A). Pop 3 survival was barely maintained by day 50 in the secretome alone in normoxia, but a fraction of cells had better survival in secretome and hypoxia. Interestingly, survival was best overall with the secretome with the addition of exogenous APRIL in hypoxic conditions (Figure 8B). With optimal conditions for ASC survival similar to conditions previously shown with total blood ASCs (24), we sorted ASC pops 2, 3, and 5 from 2 subjects (38 and 25 years old) after tetanus toxoid or influenza vaccination, and cultured them in secretome with the addition of exogenous APRIL in hypoxia for 21 or 48 days, respectively (Figures 8, C and D). The low abundance and heterogeneity of pop 4 made them difficult to culture and maintain. The ASC subsets (pops 2, 3, and 5) were easily sustained in culture and pop 2 may have had a slight survival advantage earlier in culture (days 14–21); however, by day 48, pops 2, 3, and 5 had similar survival rates. Thus, both CD19+ (pops 2 and 3) and CD19– (pop 5) ASC subsets could be maintained in culture for nearly 2 months and all subsets have similar fractions of cells with LLPC potential. Figure 8 In vitro human BM microniche systems to measure long-lived survival of the subsets. (A) IgG ELISpots of pop 3 ASCs from a healthy adult after hepatitis A vaccine on days 0, 7, 35, and 50 in the BM MSC secretome (green) or BM MSC secretome with the addition of exogenous APRIL (red) in normoxia and hypoxia (blue open symbol or blue closed symbol). (B) Percentage of IgG ELISpots (relative to the maximal frequency) for pop 3 in MSC secretome in normoxia (green square), MSC secretome in hypoxia (open blue square), MSC secretome with the addition of exogenous APRIL in normoxia (red square), and MSC secretome with the addition of exogenous APRIL in hypoxia (blue square). (C) Percentage of IgG ELISpots from pops 2, 3, and 5 (relative to the maximal frequency for each population) from a healthy adult after tetanus vaccination on days 1, 7, and 21 in MSC secretome with the addition of exogenous APRIL in hypoxia. (D) Percentage of IgG ELISpots from pops 2, 3, and 5 (relative to the maximal frequency) from a healthy adult after influenza vaccination on days 1, 14, 28, and 48 in MSC secretome with the addition of exogenous APRIL in hypoxia. To understand if the ASC maturation required CD138 upregulation, we cultured FACS-isolated CD19+CD27hiCD38hi ASCs from a healthy adult in our BM mimic (MSC secretome, exogenous APRIL, and hypoxic conditions). We performed confocal staining of the ASCs before and 14 days after culture. We show an increased frequency of ASCs with CD138+ staining on day 14 (Supplemental Figure 6). Whether CD138– ASCs upregulated CD138 or CD138+ ASCs preferentially survived in the cultures will need additional studies. Nonetheless, increased frequencies of CD138+ ASCs are shown after culture in the BM microniche and are likely related to enhanced survival. Discussion LLPCs are the cornerstone of vaccinology and lifetime protective mediators of infection. It is widely accepted that during acute-recall immune responses, newly generated, proliferative ASCs with a short lifespan produce a transient burst of antigen-specific antibodies. After the initial response decays, pathogen-specific antibody production is sustained at lower levels by mature, nonproliferating, terminally differentiated PCs capable of surviving for many years in the BM (i.e., LLPCs) in the absence of additional antigenic stimulation. Whether all peripheral blood ASCs eventually evolve into LLPCs upon taking residence in BM survival niches, or if short-lived ASC and LLPC precursors are imprinted with a long lifespan based on the relative strength of antigenic signaling received by the corresponding precursor B cells, represent 2 distinct models (41). Discriminating between these 2 models is dependent on the ability to recognize different subsets of ASCs in the blood and their relationship with BM LLPCs. In this study, we demonstrate the heterogeneity of blood ASC subsets after vaccination by identifying both CD19+ and CD19– subsets with cell surface markers similar to BM PC subsets, as we have previously shown (1). Our results demonstrate significant heterogeneity of human ASC subsets in the blood after vaccination. These heterogeneous subsets include traditional plasmablasts (CD19+CD38hiCD27hi) and 4 newly defined ASC populations distinguished by their relative expression of the surface markers CD19, CD38, and CD138. Discovery and confirmation using FLOCK analysis (4) was essential to comprehensively identify all antibody-producing cells within these subsets. We also show that all circulating ASC subsets are active participants in recent vaccine/immune responses. Interestingly, peripheral CD19–CD138+ ASCs are universally proliferative (>90% Ki-67+) and contain antigen-specific responses with frequencies similar to conventional CD19+CD138– plasmablasts. Also, these antigen-specific ASCs with mature phenotypes are found in the periphery within a few days of immunization, arising at the same time as CD19+ ASCs. Most importantly, CD19– ASCs cannot be the result of displaced CD19– BM LLPCs, since BM LLPCs are almost universally Ki-67 negative (1). This conclusion is further supported by the high frequency of recent vaccine-specific cells and oligoclonality in the blood ASC subsets disclosed by VH repertoire studies within CD19– subsets. In contrast, VH repertoires of the BM PC subsets in healthy adults are highly polyclonal, representing an historical archive of a lifetime of exposures (1). Thus, the CD19–CD138+ ASC subsets in the blood are not displaced LLPCs from the BM microniche, but rather newer clones arising from the ongoing vaccine response. Composition of the antibody repertoire expressed by ASC and B cell subsets provides important clues regarding the origin, diversification, and selection of the compartments in question. Our results portray global repertoires expressed by multiple blood ASC subsets at the peak of vaccination, whereas previous studies had been limited to the analysis of a small number of randomly sampled single cells or global CD19+CD27hiCD38hi ASCs (instead of heterogeneous ASC subsets) (42, 43). The strong connectivity of the ASC subsets with the memory B cell fractions on day 7 may reflect the activated B cell phenotypes previously described as CD19+CD71+IgD–CD38lo/int (43). Consistent with single-cell studies, our global analyses demonstrate that responding ASCs were largely oligoclonal with highly variable rates of somatic hypermutation in the expanded clones, including some with rather low mutational load, a finding suggesting that some ASC clones might derive from recent differentiation of naive B cells. Nevertheless, the majority of expanded ASC clones were shared by all blood ASC populations and SWM B cells irrespective of the degree of mutation, which suggests they all derive from a common ancestral precursor B cell. Consistently, we also observe that, rather than forming a longitudinal gradient of progressive accumulation of mutation from pops 1 to 5 with shared VDJ clonotypes, individual clones within each ASC subset segregated into independent branches. These results indicate that all the circulating ASC subsets, including those with presumed mature phenotypes as indicated by the absence of CD19 and/or expression of CD138, derive from a common B cell progenitor. Then, they appear to develop through parallel differentiation of proliferating cells that acquire the characteristic cell surface phenotypes and divergent patterns of somatic hypermutation. Thus, ASC surface maturation (CD138 or loss of CD19) is likely independent of somatic hypermutation. Intriguingly, pop 1 had many IgA isotypes that predominated this subset with some connectivity to pops 2–5 and SWM B cells, albeit the least of all the subsets (Figure 4, A–F). Pop 1 ASCs were also the most diverse compared with the other ASC and SWM B cell subsets, suggesting that some ASCs in this population may originate differently. It is known that at steady state circulating ASCs are mainly IgA ASCs (44) (our unpublished data); however, the specificities remain unknown. Thus, pop 1 may contain both early vaccine-specific IgG ASCs and IgA ASCs from other sites. Whether they are homeostatic IgA ASCs specific to our microbial flora would be important to ascertain, but this will require further studies. Interestingly, pops 2, 3, and 5 had similar survival rates in our cell-free BM microniche system, implying equal survival potential upon arrival in a supportive niche in the body. Other models using in vitro differentiated ASCs had a massive attrition of ASCs in culture since they did not optimize conditions to mimic the human BM microniche that is the naturally occurring site of LLPC survival. Furthermore, they started with B cells that were differentiated to ASCs in vitro (14), compared with our studies that immediately cultured in vivo–differentiated ASCs, which is more physiologically relevant. Lastly, those models used MSC cell lines that are not likely to be as efficient as our validated human in vitro BM microniche system with primary BM MSC secretomes, exogenous cytokines, and hypoxic conditions to maintain human PCs (14, 24). Mouse models of LLPCs have been described in the BM demonstrating how homing and retention in the BM appears to be a major determinant for the persistence of human LLPCs (25). CXCR4 is important for PC migration and survival in the BM since BM stroma is rich in CXCL12 (45, 46). The CD19+ blood ASCs expressing higher CXCR4 levels may have potential for homing to supportive BM sites. At the same time, BM-resident LLPCs express very high levels of CXCR4, indicating that CXCL12 may also be involved in BM retention (1). Thus, with proper migration and retention, survival may be guaranteed given transcriptional programs intrinsic to the blood PCs. Since the BM-derived MSCs are an abundant source of CXCL12, whether CXCL12 also has a role in survival or just in retention will need further exploration. Our models could not discern a survival advantage of ASCs that may have intrinsic properties for BM homing because our system provides the same BM survival microniche equally to each sorted ASC subset (pops 2, 3, and 5). Therefore, the similar survival advantage of all 3 ASC subsets (Figure 8) may in fact reflect equal survival potential but not necessarily equal homing to or retention in the BM microniche. Recently, CD138, a heparin-sulfate glycoprotein (HSGP), has been shown to potentiate survival of ASCs (16). It was found that the ASCs lacking CD138 were more prone to apoptosis and reduced levels of IL-6 signaling. Evidence of increased ASC expression of surface HSGP is known to be important for the binding of survival factors, such as APRIL, hepatic growth factor (HGF), and epidermal growth factor (EGF), on malignant PCs (47–49); however, it is unclear if it is also important in normal LLPC development. More interestingly, IL-6 and APRIL protect ASCs from apoptosis in experiments using heparin sulfate chains to increase IL-6 and APRIL presentation on the ASC receptors (16). Although both CD138+ (pops 3 and 5) and CD138– (pop 2) ASC subsets had similar survival in our cultures, it was not clear if pop 2 also increased CD138 expression progressively within the in vitro BM microniche with higher concentrations of IL-6 and APRIL. These findings imply that the BM environment may play a role in altering the phenotype of an ASC through additional maturation. CD38+ ASC maturation appears to involve acquisition of CD138 in pop 3 (CD19+CD138+) and pop 5 (CD19–CD138+) cells, suggesting sequential maturation. B cells undergo massive proliferation and then differentiation to become ASCs (50). Our gene expression data indicated engagement of cell cycle, specifically G2M transition, genes among the various subsets, but it remains unclear whether pop 2 is the more proliferative subtype, as would be consistent with a maturation process that starts with pop 2 differentiating into pop 3. Furthermore, pops 2 and 3 showed elevated expression of caspase 3 and so are likely to undergo apoptosis, unless additional ASC maturation is orchestrated. Pop 5 ASCs are quite different from pops 2 and 3, with upregulation of hypoxia, TNF-α, and downregulation of UPR pathways. Because they have downregulated both oxidative phosphorylation and glycolysis, it will be interesting to understand the consequences for their survival, immune-related activity, and potential for ongoing maturation. Recent work by Neu et al. with single-cell transcriptomes of vaccine- versus non–vaccine-specific ASCs showed that the differences between these 2 subsets were in the glycosylation enzymes (51). These findings are interesting but address very different questions from our work. Our studies depict progression of ASC differentiation to a long-lived phenotype with the comparison of CD19+ and CD19– ASCs with upregulation of pathways such as hypoxia, TNF-α, and UPR involved in LLPC generation, whereas Neu et al. compared vaccine- versus non–vaccine-specific ASCs. Interestingly, the differences between vaccine- and non–vaccine-specific ASCs were relatively minor. One reason could be that similar transcriptomes of vaccine- versus non–vaccine-specific ASCs arise with short-lived (influenza) vaccines. Greater differences may have been observed between vaccine- and non–vaccine-specific ASCs in long-lived immunization such as tetanus. Nonetheless, additional studies are needed to further elucidate mechanisms of early ASCs to understand long-lived vaccine durability. Whether the local microenvironment is sufficient for LLPC generation is not known. In this study, we show that both CD19+ and CD19– ASCs have similar potential for longevity, suggesting that both extrinsic factors and intrinsic ASC programming may be essential. However, we also tested ASC subsets from vaccines with relatively long-lived protection such as tetanus (10 years), hepatitis A (25 years), and intermediate longevity for influenza vaccines (52, 53). We have not yet evaluated short-lived vaccines to test the imprinting models with differential strength of antigen signal, or costimulation with Tfh cells, to address this question. Hence, we show that the unique BM locale is necessary, but whether it is sufficient is still unclear. The improved survival in hypoxia within the BM microniche system was quite surprising. Clearly, the circulating ASCs in normoxic peripheral blood must adapt to hostile conditions of 2.5% oxygen. Whether these programs are intrinsic to the blood ASCs as they exit the germinal centers or whether they further differentiate to acclimatize to these microniches is not known. Moreover, mechanisms of how hypoxia provides a survival advantage will also need systematic evaluation of cultured ASCs. In conclusion, we find that significant heterogeneity of ASC subsets resides in the blood during active immune responses in healthy adults. Our results demonstrate that the timing of ASC subsets with markers of maturity (loss of CD19 and acquisition of CD138) are concurrent to CD19+ plasmablasts (CD19+CD27hiCD38hi) in the blood. Furthermore, both CD19+ and CD19– ASC subsets are newly generated, and all are participants of the new vaccine response. On aggregate, our results favor an ongoing evolution of ASCs once released into the peripheral blood and upon arrival to the BM niches. Thus, it is likely that the ASCs have intrinsic mechanisms of maturation (acquisition of CD138 and loss of B cells surface markers, such as CD19), which are further enhanced with extrinsic signals from the BM microniche such as IL-6 and APRIL. The surface surrogate markers may in fact be associated with important inflammatory mediators, such as IL-6, TNF-α, apoptotic pathways, along with metabolic pathway regulation to finally mature into LLPCs. Understanding these mechanisms will be important to study diseases of allergy, transplantation, and autoimmunity and to help develop better long-lived vaccines. Methods Subjects and study approval. Vaccinated and healthy asymptomatic adults (102 healthy adult subjects, 22 to 65 years old, mean 42 ± 11 years, 72 female, 30 male) were enrolled in this study at the University of Rochester Medical Center and Emory University during 2008–2017. Subjects received the tetanus toxoid Td or combination Tdap, influenza, or hepatits A vaccines as a part of routine medical care. PBMCs were isolated before vaccination, and on days 6–7 for all vaccination subjects. All studies were approved by the Institutional Review Boards at the University of Rochester Medical Center and at Emory University. Written informed consent from participants was obtained. BM aspirates. BM aspirates used for isolating ASC subsets were obtained from 8 healthy adults (43 to 56 years old, mean 49 ± 5 years, all female). Mononuclear cells were isolated by density gradient centrifugation. Peripheral blood was also collected from 8 subjects at the time of BM aspiration and PBMCs were isolated. Isolation and expansion of healthy BM-derived MSCs (from 2 unrelated healthy BM donors) and subsequent making of the MSC secretome were performed as previously described (24). Multicolor flow cytometry. PBMCs from peripheral blood or BM were isolated using a Ficoll density gradient and stained with the following anti-human antibody staining reagents: Ki-67–FITC (catalog, MHKI6701), CD3–PE-Cy5.5 (catalog, MHCD0318), CD14–PE-Cy5.5 (catalog, MHCD1418) (Invitrogen); CD20-Cy5 (catalog, 15-0209), CXCR4–PE-Cy5 (catalog, 15-9999), CD27–APC-eFluor 780 (catalog, 47-0279) (eBioscience); CD28-PE (BioLegend, catalog 302907); CD19–PE-Cy7 (catalog, 557835), IgD-PE (catalog, 555779), IL6R-PE (catalog, 561696), kappa- or lambda-PE (kappa, 555792; lambda, 555797), CD38–Pacific Blue (catalog, 561378), HLA-DR–Alexa Fluor 700 (catalog, 560743) (BD Pharmingen); CD138-APC (Miltenyi Biotec, catalog 130-091-250); and FCGR2B–Alexa Fluor 647 (custom conjugated by I. Sanz). The cells were analyzed on an LSRII flow cytometer (BD Biosciences). FLOCK analysis. FLOCK is a web-based program publically available for open use by the immunology research community through the Immunology Database and Analysis Portal—ImmPort (http://www.immport.org) (4). FLOCK is a novel multidimensional automated flow gating program that uses a density-based clustering approach to algorithmically identify cell populations from multiple samples in an unbiased fashion, thereby eliminating operator-dependent variability (4). FLOCK analysis was used for both total CD19+CD3–CD14– and CD19–CD3–CD14– PBMC populations from 6 blood samples to identify ASC subsets in an unsupervised fashion. These were subsequently isolated by sorting with cell-type specific antibodies. ASC subsets sorted by flow cytometry. CD3 and CD14 cells were removed by positive selection (CD3 and CD14 positive selection, Miltenyi Biotec; CD3, 130-050-101; CD14, 130-050-201) from the mononuclear cells isolated from blood or BM. CD3–CD14– cell fractions were stained with the following anti-human antibody staining reagents: IgD-PE (catalog, 555779), CD19–PE-Cy7 (catalog, 557835), CD38–Pacific Blue (catalog, 561378) (BD Pharmingen); CD3–PE-Cy5.5 (catalog MHCD0318), CD14–PE-Cy5.5 (catalog MHCD1418) (Invitrogen); CD138-APC (Miltenyi Biotec, catalog 130-091-250); and CD27–APC-eFluor 780 (eBioscience, catalog 47-0279). Naive and memory B cell fractions as well as multiple ASC subsets were collected (see Figure 1). Approximately 5,000 to 100,000 cells were collected for each population. Cytospins of sorted ASC subsets. Cytospins were performed from sorted ASCs in the blood at 1,300 rpm for 5 minutes on the Cytospin 4 (Thermo Fisher Scientific). Approximately 5,000 sorted cells per subset were dried overnight on albumin-coated slides and stained with Wright stain. Morphology was reviewed by a board certified pathologist and hematologist. In vitro culture systems for ASCs. In vitro cultures of human blood ASCs were performed as previously described (24). Briefly, ASCs were cultured in cell-free MSC secretome media in 96-well flat-bottom cell culture plates (Corning/Sigma) at 37°C in a humid, 5% CO2, 95% air (20% O2) incubator or in hypoxic culture conditions (2.5% O2) at 37°C in a modular incubator chamber (Billups-Rothenberg) that was infused with a preanalyzed gas mixture (AirGas) or in a cell culture incubator programmed for the desired O2 tension. The blood ASC survival and function were assessed by ELISpot assays, and their output values were expressed as the percentage of maximal IgG-secreting ASCs, which typically occurred on days 1–3. Total Ig and antigen-specific ELISpot assays. To assess survival and Ig secretion function of cultured ASCs, ELISpot assay was performed, as previously described (5, 6, 24, 28). Briefly, PBMCs, sorted ASCs, or B cell subsets were added to 96-well ELISpot plates coated with anti–human IgG (5 μg/ml, Jackson Immunoresearch), anti–human IgA (5 μg/ml, Jackson Immunoresearch), or tetanus toxoid (2 μg/ml, EMD Biosciences), and were incubated overnight. Wells were washed and bound antibodies were detected with alkaline phosphatase–conjugated anti–human IgG antibody (1 μg/ml, Jackson Immunoreseach), alkaline phosphatase–conjugated anti–human IgA antibody (1 μg/ml, Jackson Immunoreseach), and developed with a VECTOR Blue Alkaline Phosphatase Substrate Kit III (Vector Laboratories). Spots in each well were counted using the CTL immunospot reader (Cellular Technologies Ltd). Quantitative PCR for expression of select transcription factor genes from mRNA. Five thousand cells were sorted from each population as described above. Total cellular RNA was isolated using the RNeasy Mini Kit (Qiagen) by following the manufacturer’s protocol. Approximately 400 pg of RNA was reverse transcribed using the iScript RT Kit (Bio-Rad). Aliquots of the resulting single-stranded cDNA products were included with BLIMP-1, Pax5, or GAPDH TaqMan assays (assay IDs: Hs00153357_m1, Hs00172003_m1, Hs00231936_m1, and Hs02758991_g1; Life Technologies) using IQ Supermix (Bio-Rad) and amplified using a Bio-Rad CFX96 Real-time PCR Detection System for 50 cycles. Resulting Ct values were normalized to GAPDH levels and relative target mRNA for each population was calculated based on a standard curve created using total RNA from all populations. RNA transcriptome analysis. RNA was isolated from sorted ASC subsets from peripheral blood samples for 6 adult donors. RNA-seq was performed as recommended by the manufacturer (Illumina IIx). Briefly, first-hand cDNA was amplified using random hexamers. Following end repair, addition of adaptor ligation, agarose gel isolation of 200-bp cDNA, and PCR amplification of the 200-bp cDNA, the samples were sequenced on an Illumina HiSeq 2000. Over 25 million single-end sequences were obtained per sample, and aligned to the reference annotated human genome hg38 using STAR (54). Exon-level data for approximately 25,000 known gene sequences per sample were identified and consolidated using HTSeq (55) to yield gene-level expression values, then normalized to total counts per gene per million total aligned reads and subsequently TMM values in edgeR (56) that were converted to the log2 scale. The RNA-seq data have been deposited in the NCBI’s Gene Expression Omnibus database (GSE11697). Differential expression was assessed with the GLM ANOVA routine in JMP Genomics v8.0 (SAS Institute) after further normalization using the SNM procedure in R to remove batch effects with ASC population as the Biological variable and Batch as the adjustment variable with the Rm = True option (57). A lower threshold of 3 log2 units for inclusion was selected by plotting the coefficient of variance against average abundance. All analyses were qualitatively confirmed for the raw TMM values without SNM. Gene expression was visualized by hierarchical clustering using standardization of each gene across individuals and Ward’s method to weight the correlations in JMP Genomics. Pathway analysis. GSEA was performed using the Broad Institute’s preranked hallmark pathway gene lists (58, 59). For each of 29 significantly enriched pathways (FDR < 0.05; Kolgomorov-Smirnov nominal P < 0.05), the first principal component of the genes computed in R was used to visualize the overall regulation of the gene set. Because PC1 is somewhat arbitrarily signed, we compared these values with the direction of normalized enrichment and adjusted the sign to be concordant with an abundance of upregulation, contrasting pop 5 with pops 2 and 3. Because PC1 is dominated by strongly coregulated genes, it does not necessarily give the same results or significance values as normalized enrichment based on all of the genes in the pathway. An additional 6 pathways were excluded from further consideration because PC1 explained less than 20% of the variance, indicating little covariance; the 29 highlighted pathways all have PC1 explaining greater than 45% of the variance of the genes. Supplemental Figure 5 provides details for 12 gene sets (Allograft Rejection, Coagulation, Complement, DNA Repair, Heme Metabolism, IFNG Response, Mitotic Spindle, MTORC1 Signaling, Peroxisome, Spermatogenesis, UV Response Up, and Xenobiotic Metabolism) where there is some discordance between the two modes of analysis. Most cases are because PC1 is computed from both up- and downregulated genes that strongly differ among pops, whereas the enrichment score indicates the significance
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January 6, 1:02 PM
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Long COVID involves activation of proinflammatory and immune exhaustion pathways | Nature Immunology

Long COVID involves activation of proinflammatory and immune exhaustion pathways | Nature Immunology | Immunology | Scoop.it
Long COVID (LC) involves a spectrum of chronic symptoms after acute severe acute respiratory syndrome coronavirus 2 infection. Current hypotheses for the pathogenesis of LC include persistent virus, tissue damage, autoimmunity, endocrine insufficiency, immune dysfunction and complement activation. We performed immunological, virological, transcriptomic and proteomic analyses from a cohort of 142 individuals between 2020 and 2021, including uninfected controls (n = 35), acutely infected individuals (n = 54), convalescent controls (n = 24) and patients with LC (n = 28). The LC group was characterized by persistent immune activation and proinflammatory responses for more than 180 days after initial infection compared with convalescent controls, including upregulation of JAK-STAT, interleukin-6, complement, metabolism and T cell exhaustion pathways. Similar findings were observed in a second cohort enrolled between 2023 and 2024, including convalescent controls (n = 20) and patients with LC (n = 18). These data suggest that LC is characterized by persistent activation of chronic inflammatory pathways, suggesting new therapeutic targets and potential biomarkers of disease. Long COVID (LC) involves a spectrum of chronic symptoms after resolution of acute severe acute respiratory syndrome coronavirus 2 infection. Barouch and colleagues show that LC is characterized by persistent activation of chronic inflammatory pathways and T cell exhaustion.
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August 10, 2024 2:44 AM
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Mechanisms of antibody-dependent enhancement of infectious disease | Nature Reviews Immunology

Mechanisms of antibody-dependent enhancement of infectious disease | Nature Reviews Immunology | Immunology | Scoop.it
Antibody-dependent enhancement (ADE) of infectious disease is a phenomenon whereby host antibodies increase the severity of an infection. It is well established in viral infections but ADE also has an underappreciated role during bacterial, fungal and parasitic infections. ADE can occur during both primary infections and re-infections with the same or a related pathogen; therefore, understanding the underlying mechanisms of ADE is critical for understanding the pathogenesis and progression of many infectious diseases. Here, we review the four distinct mechanisms by which antibodies increase disease severity during an infection. We discuss the most established mechanistic explanation for ADE, where cross-reactive, disease-enhancing antibodies bound to pathogens interact with Fc receptors, thereby enhancing pathogen entry or replication, ultimately increasing the total pathogen load. Additionally, we explore how some pathogenic antibodies can shield bacteria from complement-dependent killing, thereby enhancing bacterial survival. We interrogate the molecular mechanisms by which antibodies can amplify inflammation to drive severe disease, even in the absence of increased pathogen replication. We also examine emerging roles for autoantibodies in enhancing the pathogenesis of infectious diseases. Finally, we discuss how we can leverage these insights to improve vaccine design and future treatments for infectious diseases. This Review discusses the different mechanisms of antibody-dependent enhancement (ADE) of infectious disease, including how antibodies can increase the pathogen load, protect bacteria from the immune system and amplify inflammation. The authors also highlight the role of autoantibodies and consider how a better understanding of ADE can be used to improve vaccines and treatments for infectious diseases.
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February 18, 2023 2:32 AM
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Frontiers | Lymphoid stromal cells - potential implications for the pathogenesis of CVID

Frontiers | Lymphoid stromal cells - potential implications for the pathogenesis of CVID | Immunology | Scoop.it
Non-hematopoietic lymphoid stromal cells (LSC) maintain lymph node architecture and form niches allowing the migration, activation, and survival of immune cells. Depending on their localization in the lymph node, these cells display heterogeneous properties and secrete various factors supporting the different activities of the adaptive immune response. LSCs participate in the transport of antigen from the afferent lymph as well as in its delivery into the T and B cell zones and organize cell migration via niche-specific chemokines. While marginal reticular cells (MRC) are equipped for initial B-cell priming and T zone reticular cells (TRC) provide the matrix for T cell-dendritic cell interactions within the paracortex, germinal centers (GC) only form when both T- and B cells successfully interact at the T-B border and migrate within the B-cell follicle containing the follicular dendritic cell (FDC) network. Unlike most other LSCs, FDCs are capable of presenting antigen via complement receptors to B cells, which then differentiate within this niche and in proximity to T follicular helper (TFH) cells into memory and plasma cells. LSCs are also implicated in maintenance of peripheral immune tolerance. In mice, TRCs induce the alternative induction of regulatory T cells instead of TFH cells by presenting tissue-restricted self-antigens to naïve CD4 T cells via MHC-II expression. This review explores potential implications of our current knowledge of LSC populations regardin
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February 18, 2022 7:13 AM
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IJMS | Free Full-Text | Quantitative Visualization of the Interaction between Complement Component C1 and Immunoglobulin G: The Effect of CH1 Domain Deletion | HTML

IJMS | Free Full-Text | Quantitative Visualization of the Interaction between Complement Component C1 and Immunoglobulin G: The Effect of CH1 Domain Deletion | HTML | Immunology | Scoop.it
Immunoglobulin G (IgG) adopts a modular multidomain structure that mediates antigen recognition and effector functions, such as complement-dependent cytotoxicity. IgG molecules are self-assembled into a hexameric ring on antigen-containing membranes, recruiting the complement component C1q. In order to provide deeper insights into the initial step of the complement pathway, we report a high-speed atomic force microscopy study for the quantitative visualization of the interaction between mouse IgG and the C1 complex composed of C1q, C1r, and C1s. The results showed that the C1q in the C1 complex is restricted regarding internal motion, and that it has a stronger binding affinity for on-membrane IgG2b assemblages than C1q alone, presumably because of the lower conformational entropy loss upon binding. Furthermore, we visualized a 1:1 stoichiometric interaction between C1/C1q and an IgG2a variant that lacks the entire CH1 domain in the absence of an antigen. In addition to the canonical C1q-binding site on Fc, their interactions are mediated through a secondary site on the CL domain that is cryptic in the presence of the CH1 domain. Our findings offer clues for novel-modality therapeutic antibodies.
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January 18, 2022 6:44 AM
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The state of complement in COVID-19 | Nature Reviews Immunology

The state of complement in COVID-19 | Nature Reviews Immunology | Immunology | Scoop.it
Hyperactivation of the complement and coagulation systems is recognized as part of the clinical syndrome of COVID-19. Here we review systemic complement activation and local complement activation in response to the causative virus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and their currently known relationships to hyperinflammation and thrombosis. We also provide an update on early clinical findings and emerging clinical trial evidence that suggest potential therapeutic benefit of complement inhibition in severe COVID-19. Hyperactivation of the complement system has been implicated in the pathology of COVID-19. Here the authors bring together the latest information on the role of complement in COVID-19 and progress in targeting complement components for treatment of severe disease.
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June 1, 2021 1:24 PM
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JCI - Is complement the culprit behind COVID-19 vaccine-related adverse reactions?

Viewpoint Free access | 10.1172/JCI151092 Is complement the culprit behind COVID-19 vaccine-related adverse reactions? Dimitrios C. Mastellos,1 Panagiotis Skendros,2 and John D. Lambris3 Published May 4, 2021 - More info View PDF Rare thrombotic reactions to adenovirus-based COVID-19 vaccines Undeniably, a global and coordinated COVID-19 vaccination effort is a prerequisite for taming the spread of emerging SARS-CoV-2 variants and achieving population-wide immunity that can thwart future viral surges. Ongoing vaccination programs have relied on both mRNA and adenoviral-based formulations eliciting potent humoral responses and showing safety in the majority of the population vaccinated so far. However, rare vaccine-related adverse events were recently reported in individuals who received the adenoviral-encoded ChAdOx1 nCov-19 and Ad26.COV2.S vaccines (1–3). Most of these cases developed acute thrombotic complications (cerebral venous thrombosis or disseminated intravascular coagulation) and severe thrombocytopenia following the first dose of the vaccine, without any prior history of heparin exposure or known risk factors for thrombophilia. This rare syndrome, termed vaccine-induced immune thrombotic thrombocytopenia (VITT), clinically resembles the hallmarks of autoimmune heparin-induced thrombocytopenia (autoimmune HIT) and is linked to the consistent presence of circulating autoantibodies against platelet factor 4 (PF4), which can directly activate platelets in the absence of heparin (2). The prothrombotic action of anti-PF4 antibodies likely involves antibody-mediated platelet activation through IgG-FcγR interactions and similar FcR-mediated engagement of immune effector cells such as monocytes/macrophages and neutrophils (Figure 1). Since VITT is a newly described syndrome, its clinical management mostly relies on its similarities with HIT and non–heparin-dependent autoimmune thrombotic thrombocytopenias. While nonheparin anticoagulants and intravenous immunoglobulin (IVIg) have been proposed as first-line treatments for patients with VITT, these approaches are not fail-safe and entail drawbacks that may curtail their effectiveness (e.g., risk of promiscuous FcR activation, acute anaphylaxis, or even thromboembolic events in the case of intravenous immunoglobulin) (4). Several second-line therapies for HIT have also been suggested, including plasmapheresis, especially when nonheparin anticoagulation is contraindicated because of major bleeding events (5). Thus, more insight into the precise pathophysiology of VITT is needed to enable more personalized medicine approaches. Figure 1 A schematic diagram of the plausible mechanisms by which complement may contribute to the VITT-associated prothrombotic response. Vaccine-induced immune thrombotic thrombocytopenia (VITT) has been described in individuals presenting with high titers of platelet-activating anti–platelet factor 4 (PF4) autoantibodies. These antibodies recognize large multiantigenic complexes comprising PF4 and polyanionic structures similar to heparin, and resemble autoimmune heparin-induced thrombocytopenia (HIT). Complement activation can be triggered in multiple ways in patients presenting with VITT and anti-PF4 antibodies. First, the formation of complexes between PF4 and certain vaccine constituents (e.g., adenoviral capsid proteins or DNA) (23) may serve as a scaffold for C3 activation, similarly to what has been observed with PF4-heparin ultra-large complexes. In addition, complement activation can be triggered by the binding of C1q to the anti-PF4 immune complexes that are deposited on the endothelium, monocyte, or platelet surface via binding to polyanionic structures such as glycosaminoglycans (GAGs). Classical pathway activation leads to C3 cleavage, amplification of complement responses via the alternative pathway, downstream generation of proinflammatory C3a and C5a anaphylatoxins, and the formation of the C5b-9 complex. Complement activation fragments mediate a broad range of thromboinflammatory reactions by interacting with complement receptors on platelets, monocytes, and neutrophils. These interactions can induce or enhance FcR-mediated platelet activation, neutrophil-platelet aggregation, and release of TF-loaded neutrophil extracellular traps (NETs) from activated neutrophils. All these processes are fueled by complement activation and can collectively contribute to a prothrombotic environment that may lead to VITT. Moreover, C3-opsonized immune complexes can enhance FcγR-dependent effector responses on platelets further promoting thrombotic responses. Abbreviations: CP, classical pathway; AP, alternative pathway; TF, tissue factor. A proposed role for complement Complement is a host innate immune sentinel comprising over 50 proteins that can be swiftly activated through any of three initiating pathways (classical, lectin, or alternative) that sense microbial invaders or other inflammatory cues, such as immune complexes. In fact, complement activation has been implicated as a perpetrator of immune complex–driven thromboinflammation in autoimmune pathologies such as the antiphospholipid syndrome, a systemic disorder that increases risk for blood clots (6). Prompted by the striking findings in patients who developed VITT after a single dose of adenoviral-associated vaccine, we posit here that the observed thrombotic complications may partly reflect immune complex–triggered complement activation through the classical pathway. PF4-containing immune complexes can be recognized by C1q, a soluble pattern recognition molecule of the classical pathway that binds to the Fc portion of IgG molecules. Anti-PF4 complex–driven classical pathway activation can lead to C3 activation, alternative pathway–mediated amplification of complement responses, and downstream generation of potent proinflammatory mediators and effectors (C3a, C5a and membrane attack complex) that can potentiate thromboinflammation (7). In fact, the thrombogenic capacity of distinct complement activation fragments has been linked to a broad spectrum of immune-related mechanisms that underpin the immunothrombosis of severe COVID-19 (7, 8). Considering that certain allelic combinations of complement gene polymorphisms within the population confer differential susceptibility to deregulated complement activity, it is tempting to speculate that these vaccinated individuals may represent cases where complement deregulation occurs due to genetic alterations that result in ineffective host regulatory control (9). Deregulated complement responses can perpetuate a vicious cycle of inflammatory tissue damage that renders the vascular endothelium and platelet/monocyte compartment more thrombogenic. In this regard, circulating anti-PF4 immune complexes may well serve as a first hit that ignites complement activation, in a way similar to complement-mediated thrombotic microangiopathies (10). The fact that a fraction of these anti-PF4 autoantibodies may recognize antigenic complexes between PF4 and polyanionic structures (such as GAGs or heparan sulfate) raises the possibility that these immune complexes may skew the binding of endogenous complement regulators to host polyanionic surfaces, thereby altering the capacity of these surfaces to withstand autologous complement attack. C3 activation may play a pivotal pathogenic role in this vaccine-induced immunothrombotic phenotype. C3-opsonized anti-PF4 immune complexes can enhance the phagocytic and inflammatory properties of monocytes and neutrophils through the synergistic engagement of FcγR and complement receptors, thereby increasing the thrombogenic milieu in the vasculature (Figure 1). C3 fragment deposition on the endothelium and on platelets/neutrophils can potentiate thromboinflammatory responses by promoting CR3-dependent platelet-neutrophil interactions that favor platelet adhesion and clotting (11). Also, C3aR signaling on platelets can further drive thrombotic responses (12). Of note, it has been shown that PF4–heparin complexes, a hallmark of HIT pathology, can potently activate C3 in the fluid phase and C3 inhibitors such as Cp40 can abrogate C3 activation triggered by HIT-associated PF4–heparin complexes (13). In line with this, the Cp40-based drug candidate AMY-101 has been shown to effectively decrease both neutrophils and neutrophil extracellular trap (NET) formation, two major drivers of HIT-associated thrombosis, in patients with COVID-19 (7, 14–16). Potential treatment approaches In an analogy to HIT, clinical-stage complement C3 inhibitors may represent a novel therapeutic strategy for ameliorating the thrombotic complications elicited in VITT. On one hand, C3 inhibition may quench anti-PF4 antibody production by reducing antigen uptake or processing in the lymphoid tissue. On the other hand, it can broadly suppress multiple paths of immune complex–driven thromboinflammation in VITT (Figure 1). Moreover, C3 inhibition may offer broader therapeutic control of thromboembolic reactions mediated by pathogenic autoantibodies. In this regard, C3 activation, but not C5, was shown to be indispensable for antiphospholipid antibody-induced tissue factor (TF) activation and thrombosis in antiphospholipid syndrome (17). The recently reported resolution of vaccine-induced thrombotic microangiopathy in two patients following combined treatment with anticoagulants and the C5 inhibitor eculizumab further corroborates our hypothesis that therapeutic complement modulation may offer significant clinical benefits to patients with VITT (18). In this regard, C3 inhibitors may exert a broader therapeutic effect than anti-C5 agents by suppressing both terminal pathway activation and thrombogenic pathways operating upstream of C5 (14, 19). Because this newly described immune syndrome is still poorly defined, it would be of great benefit to patients with VITT if the algorithm for VITT clinical management considered diagnostic monitoring of complement biomarkers as a means of validating the use of specific complement inhibitors. As a cautionary note, we should stress that plasma levels of complement proteins reflect both turnover and synthesis. Therefore, the accurate monitoring of complement activity should rely on markers of ongoing activation combined with corroborative functional assays that gauge the impact of complement activation on the tissue or cellular level. mRNA vaccine reactions In addition to these cases of VITT in individuals receiving adenovirus vectored vaccines, the rollout of COVID-19 mRNA vaccines has brought to the spotlight rare adverse events involving a maladaptive immune reaction to certain vaccine constituents. Rare cases of severe allergic reactions (anaphylaxis) were reported following the first dose of the Pfizer–BioNTech or Moderna SARS-CoV-2 mRNA vaccines (20). Such allergic reactions are likely triggered by the PEG or lipid moieties of these mRNA vaccines. They involve complement and mast cell activation in an IgE-independent manner and closely resemble the complement mediated pseudo-allergy reaction (CARPA) that has been described in the case of liposomal carriers (21). Complement activation in this case may be initiated by IgG or IgM directed against the PEGylated lipids of these vaccine formulations. Concluding remarks Taken together, these paradigms of vaccine-related adverse reactions highlight the potential contribution of complement activation to vaccine-related pathology, raise the importance of incorporating complement diagnostic monitoring in the early clinical management of such patients, and endorse complement inhibitors as potential treatment options. In addition to the complement-activating capacity of anti-PF4 antibodies, we cannot rule out the possibility that complement activation in VITT may also be fueled by preformed (natural IgM) or induced IgG antibodies against adenoviral capsid antigens or direct interaction of pattern recognition molecules with capsid elements (22). The relevance of these plausible mechanisms to VITT pathology warrants further investigation. Footnotes Conflict of interest: JDL is the founder of Amyndas Pharmaceuticals, which is developing complement inhibitors for therapeutic purposes. He is the inventor on patents or patent applications that describe the use of complement inhibitors for therapeutic purposes, some of which are developed by Amyndas Pharmaceuticals: US patents 8946145/9371365 (Modified compstatin with peptide backbone and C-terminal modifications), 9630992 (Compstatin analogs with improved pharmacokinetic properties), 9579360 (Methods of treating or preventing periodontitis and diseases associated with periodontitis). JDL is also the inventor of the compstatin technology licensed to Apellis Pharmaceuticals, i.e., 4(1MeW)7W/POT-4/APL-1 and PEGylated derivatives such as APL-2/pegcetacoplan/empaveli and APL-9: US patents 6319897 (Peptides which inhibit complement activation), 7989589 (Compstatin analogs with improved activity), 7888323 (Potent compstatin analogs). Copyright: © 2021, American Society for Clinical Investigation. Reference information: J Clin Invest. 2021;131(11):e151092. https://doi.org/10.1172/JCI151092. References Muir K-L, et al. Thrombotic thrombocytopenia after Ad26.COV2.S vaccination. [published online April 14, 2021]. N Engl J Med. https://doi.org/10.1056/NEJMc2105869. View this article via: PubMed Google Scholar Scully M, et al. Pathologic antibodies to platelet factor 4 after ChAdOx1 nCoV-19 vaccination. [published online April 16, 2021]. N Engl J Med. https://doi.org/10.1056/NEJMoa2105385. View this article via: PubMed Google Scholar Schultz NH, et al. Thrombosis and thrombocytopenia after ChAdOx1 nCoV-19 vaccination. [published online April 9, 2021]. N Engl J Med. https://doi.org/10.1056/NEJMoa2104882. View this article via: PubMed Google Scholar Kapoor M, et al. Thromboembolic risk with IVIg: incidence and risk factors in patients with inflammatory neuropathy. Neurology. 2020;94(6):e635–e638. View this article via: PubMed CrossRef Google Scholar Marchetti M, et al. Heparin-induced thrombocytopenia: a review of new concepts in pathogenesis, diagnosis, and management. J Clin Med. 2021;10(4):683. View this article via: PubMed CrossRef Google Scholar Chaturvedi S, et al. Complement in the pathophysiology of the antiphospholipid syndrome. Front Immunol. 2019;10:449. View this article via: PubMed Google Scholar Skendros P, et al. Complement and tissue factor-enriched neutrophil extracellular traps are key drivers in COVID-19 immunothrombosis. J Clin Invest. 2020;130(11):6151–6157. View this article via: JCI PubMed CrossRef Google Scholar Risitano AM, et al. Complement as a target in COVID-19? Nat Rev Immunol. 2020;20(6):343–344. View this article via: PubMed CrossRef Google Scholar Heurich M, et al. Common polymorphisms in C3, factor B, and factor H collaborate to determine systemic complement activity and disease risk. Proc Natl Acad Sci U S A. 2011;108(21):8761–8766. View this article via: PubMed CrossRef Google Scholar Gavriilaki E, Brodsky RA. Complementopathies and precision medicine. J Clin Invest. 2020;130(5):2152–2163. View this article via: JCI PubMed CrossRef Google Scholar Hamad OA, et al. Contact activation of C3 enables tethering between activated platelets and polymorphonuclear leukocytes via CD11b/CD18. Thromb Haemost. 2015;114(6):1207–1217. View this article via: PubMed Google Scholar Sauter RJ, et al. Functional relevance of the anaphylatoxin receptor C3aR for platelet function and arterial thrombus formation marks an intersection point between innate immunity and thrombosis. Circulation. 2018;138(16):1720–1735. View this article via: PubMed CrossRef Google Scholar Khandelwal S, et al. Novel immunoassay for complement activation by PF4/heparin complexes. Thromb Haemost. 2018;118(8):1484–1487. View this article via: PubMed CrossRef Google Scholar Mastellos DC, et al. Complement C3 vs C5 inhibition in severe COVID-19: early clinical findings reveal differential biological efficacy. Clin Immunol. 2020;220:108598. View this article via: PubMed Google Scholar Gollomp K, et al. Neutrophil accumulation and NET release contribute to thrombosis in HIT. JCI Insight. 2018;3(18):99445. View this article via: JCI Insight PubMed Google Scholar Perdomo J, et al. Neutrophil activation and NETosis are the major drivers of thrombosis in heparin-induced thrombocytopenia. Nat Commun. 2019;10(1):1322. View this article via: PubMed CrossRef Google Scholar Müller-Calleja N, et al. Complement C5 but not C3 is expendable for tissue factor activation by cofactor-independent antiphospholipid antibodies. Blood Adv. 2018;2(9):979–986. View this article via: PubMed CrossRef Google Scholar Tiede A, et al. Prothrombotic immune thrombocytopenia after COVID-19 vaccine. [published online April 30, 2021]. Blood. https://doi.org/10.1182/blood.2021011958. View this article via: PubMed Google Scholar Hillmen P, et al. Pegcetacoplan versus eculizumab in paroxysmal nocturnal hemoglobinuria. N Engl J Med. 2021;384(11):1028–1037. View this article via: PubMed CrossRef Google Scholar Castells MC, Phillips EJ. Maintaining safety with SARS-CoV-2 vaccines. N Engl J Med. 2021;384(7):643–649. View this article via: PubMed CrossRef Google Scholar Klimek L, et al. Allergenic components of the mRNA-1273 vaccine for COVID-19: possible involvement of polyethylene glycol and IgG-mediated complement activation. [published online March 3, 2021]. Allergy. https://doi.org/10.1111/all.14794. View this article via: PubMed Google Scholar Chéneau C, Kremer EJ. Adenovirus-extracellular protein interactions and their impact on innate immune responses by human mononuclear phagocytes. Viruses. 2020;12(12):1351. View this article via: PubMed CrossRef Google Scholar Greinacher A, et al. Towards understanding ChAdOx1 nCov-19 vaccine-induced immune thrombotic thrombocytopenia (VITT) [preprint]. https://doi.org/10.21203/rs.3.rs-440461/v1 Posted on Research Square April 20, 2021. Version history Version 1 (May 4, 2021): In-Press Preview Version 2 (June 1, 2021): Electronic publication
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Mast cells and complement system: Ancient interactions between components of innate immunity - Elieh Ali Komi - - Allergy

Mast cells and complement system: Ancient interactions between components of innate immunity - Elieh Ali Komi - - Allergy | Immunology | Scoop.it
Abstract The emergence and evolution of the complement system and mast cells (MCs) can be traced back to sea urchins and the ascidian Styela plicata, respectively. Acting as a cascade of enzymatic ...
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March 8, 2020 4:57 AM
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Antibody-mediated complement activation in pathology and protection. - PubMed - NCBI

Antibody-mediated complement activation in pathology and protection. - PubMed - NCBI | Immunology | Scoop.it
PubMed comprises more than 30 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.
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November 16, 2019 7:31 AM
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Context-dependent roles of complement in cancer

Context-dependent roles of complement in cancer | Immunology | Scoop.it
The tumour microenvironment (TME) highly influences the growth and spread of tumours, thus impacting the patient’s clinical outcome. In this context, the complement system plays a major and complex role. It may either act to kill antibody-coated tumour cells, support local chronic inflammation or hamper antitumour T cell responses favouring tumour progression. Recent studies demonstrate that these opposing effects are dependent upon the sites of complement activation, the composition of the TME and the tumour cell sensitivity to complement attack. In this Review, we present the evidence that has so far accrued showing a role for complement activation and its effects on cancer control and clinical outcome under different TME contexts. We also include a new analysis of the publicly available transcriptomic data to provide an overview of the prognostic value of complement gene expression in 30 cancer types. We argue that the interplay of complement components within each cancer type is unique, governed by the properties of the tumour cells and the TME. This concept is of critical importance for the design of efficient therapeutic strategies aimed at targeting complement components and their signalling. This Review discusses the complex and context-dependent role of the complement system in cancer, highlighting the opposing effects of complement activation in both promoting and restraining tumour progression. A novel analysis of publicly available transcriptomic data to provide an overview of the prognostic value of complement gene expression in cancer is also included.
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June 23, 2019 4:06 AM
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Fibroblastic reticular cells at the nexus of innate and adaptive immune responses - Perez‐Shibayama - 2019 - Immunological Reviews - Wiley Online Library

Summary Lymphoid organs guarantee productive immune cell interactions through the establishment of distinct microenvironmental niches that are built by fibroblastic reticular cells (FRC). These specialized immune‐interacting fibroblasts coordinate the migration and positioning of lymphoid and myeloid cells in lymphoid organs and provide essential survival and differentiation factors during homeostasis and immune activation. In this review, we will outline the current knowledge on FRC functions in secondary lymphoid organs such as lymph nodes, spleen and Peyer's patches and will discuss how FRCs contribute to the regulation of immune processes in fat‐associated lymphoid clusters. Moreover, recent evidence indicates that FRC critically impact immune regulatory processes, for example, through cytokine deprivation during immune activation or through fostering the induction of regulatory T cells. Finally, we highlight how different FRC subsets integrate innate immunological signals and molecular cues from immune cells to fulfill their function as nexus between innate and adaptive immune responses. 1 FIBROBLASTIC RETICULAR CELLS UNDERPIN THE STRUCTURE OF LYMPHOID ORGANS The activation of adaptive immune responses depends on the interaction of professional antigen‐presenting cells (APC) with T and B cells in specialized compartments of lymphoid organs. Secondary lymphoid organs (SLO) are strategically positioned at routes of pathogen invasion and thereby increase the likelihood of lymphocytes to encounter their cognate antigens at a particular location and during a certain time window. Lymph nodes are found at convergence points of afferent lymph vessels and surveil extracellular fluids from separate areas of peripheral tissue. Other classical SLO such as Peyer′s patches are located right below the area of the intestinal surface they surveil, while the splenic white pulp provides specialized niches for the development of immune responses against blood‐borne pathogens.1 Nonclassical SLO such as fat‐associated lymphoid clusters (FALC) serve as surveillance hubs of the body cavities by sampling the fluids that are secreted by mesothelial cells.2 Transient lymphoid aggregates that display T‐ and B‐cell zone segregation and that appear in inflamed tissues are referred to as tertiary lymphoid structures (TLS, also known as tertiary lymphoid organs).3 Fluid flow in lymphoid organs is sustained by endothelial stromal cells with blood endothelial cells facilitating the delivery of oxygen and nutrients via blood vessels and lymphatic endothelial cells granting drainage of extracellular liquids via lymphatic vessels. The structural integrity of all lymphoid organs is determined by fibroblastic stromal cells that build, for example, the capsule of lymph nodes or the spleen. In addition, specialized immune‐interacting fibroblasts, generally termed fibroblastic reticular cells (FRC), form the scaffold structures that underpin the distinct microenvironments required for efficient immune cell interactions (Figure 1). FRC crucially contribute to the functioning of the immune system through the secretion of homeostatic chemokines to coordinate the interaction between APC and lymphocytes and provide growth and survival factors that nurture both innate and adaptive lymphocytes.4, 5 Moreover, FRC are equipped with a large range of pattern recognition receptors6-8 that play a crucial role in the control innate immune reactions. The detection of pathogen‐associated molecular signatures by germline‐encoded receptors is a key determinant for the immune system to distinguish harmful molecules of foreign origin from inoccuous self‐molecules.9, 10 Sensing of microbial products by pattern recognition receptors expressed by APC such as dendritic cells and macrophages has been considered as a key step for the activation of the adaptive immune system.9, 11 However, recent studies have revealed that FRC in classical and nonclassical SLO actively shape adaptive immune responses through the integration of innate immunological signals.8, 12 In this review, we will highlight the ability of FRC to generate tissue‐specific microenvironmental niches that orchestrate complex immunological processes and discuss recent work that has revealed the role of FRC as an important nexus of innate and adaptive immune responses. 2 DIVERSITY OF FIBROBLASTIC RETICULAR CELLS IN LYMPHOID ORGANS The most commonly used distinction of endothelial and fibroblastic stromal cells of SLO relies on the expression of the endothelial marker CD31 (platelet endothelial cell adhesion molecule‐1, PECAM‐1) and the fibroblast marker podoplanin (PDPN).13 While PDPN expression captures the majority of FRC in lymph nodes, the expression of this marker in the spleen is restricted mainly to FRC in the T‐cell zone.14 Moreover, PDPN is a surface molecule that is expressed by fibroblasts in nonlymphoid tissues and in tumors15 rendering this marker unsuitable to specifically track lymphoid tissue FRC. In contrast, the promoter activity of the FRC signature genes Ccl19 and Cxcl13 is well‐suited to capture the complexity of the immune‐interacting fibroblasts in SLO.16, 17 Indeed, the Ccl19‐Cre model facilitates targeting of FRC in all relevant microenvironments in lymph nodes,16, 18, 19 in Peyer's patches12 and in the white pulp of the spleen.20 Likewise, the Cxcl13‐Cre/tdTomato transgene targets the majority of FRC in all SLO.17 The combination of such advanced transgenic mouse models with single‐cell RNA‐seq‐based analyses of lymph node7, 21 and splenic white pulp22 FRC will enable a series of novel studies to further explore the functional complexity of FRC in lymphoid organs. 2.1 The many shapes of FRC in classical secondary lymphoid organs While the differentiation trajectories of splenic white pulp FRC from perivascular progenitors have been delineated recently using Ccl19 promoter‐based cell fate mapping22 and lineage tracing,20 the origin of lymph node FRC has not yet been fully elucidated. Nevertheless, the aggregation of Ccl19‐Cre+ and Cxcl13‐Cre+ cells in the vicinity of blood vessels of the lymph node anlage16, 17 strongly suggests that lymph node FRC originate from myofibroblastic progenitors in the perivascular space. It appears that these precursor cells are able to generate the various FRC subsets that underpin the major compartments of the lymph node (Figure 1A). The lymph fluid from peripheral tissues that arrives to the lymph node via the afferent lymph vessels is drained through the subcapsular sinus which is lined by lymphatic endothelial cells and, beneath the subcapsular sinus floor, by several layers of marginal reticular cells (MRC).23 These cells can be distinguished from other FRC subsets in lymph nodes by the expression of mucosal vascular addressin cell adhesion molecule 1 (MAdCAM‐1), receptor activator of nuclear factor kappa‐Β ligand (RANKL, TNFSF11), and CXCL13.23 In the spleen, MRC support immune responsiveness by supporting the capture and delivery of antigens from the marginal zone to B‐cell follicles.24 The expression of RANKL by Ccl19‐Cre+ lymph node MRC has been shown to be critical for the integrity of lymphatic endothelial cells in the subcapsular sinus25 indicating that MRC actively participate in shaping the cellular environment of the lymph node. Likewise, splenic white pulp MRC impact the phenotype of their interacting immune cell partners. For example, Notch 2‐driven differentiation of marginal zone B cells and of Esam+ dendritic cells requires the expression of the Notch ligand Delta‐like (DL)1 in splenic Ccl19‐Cre+ cells,26 while RANK has been shown to maintain myeloid cell populations in the marginal zone to secure initiation of antiviral immune responses.27 As an extension from the MRC layer unfolds the conduit system through the lymph node parenchyma as a fibrillary network formed by FRC.28 Conduits both in lymph nodes and in the splenic white pulp are ensheathed by FRC and consist of a collagen‐rich core that is surrounded by a microfibrillar zone and a basement membrane.29, 30 The conduit system conveys low‐molecular‐weight substances such as chemokines and antigens from the lymph node subcapsular sinus through the T‐cell area toward high endothelial venules.30 A recent report revealed that IgM transiently gains access to the luminal side of the lymph node conduit system to facilitate rapid export of early‐response IgM antibodies out of the lymph node parenchyma.31 In sum, MRC of lymph nodes and the splenic white pulp shape the border region of lymphoid tissues through the dedicated interaction with immune cells and other stromal cells and by maintaining communication channels for rapid distribution of immunologically relevant information. It will be important to fully exploit existing and novel reticular cell targeting approaches (such as the CollagenVI‐Cre model32) to characterize the function of MRC in Peyer's patches. T‐cell zone reticular cells (TRC), ie, the FRC that co‐localize predominantly with T cells and dendritic cells, express PDPN and the signature chemokines CCL19 and CCL21.12-14, 22 It is important to reiterate that PDPN expression in lymph nodes can be found in almost all FRC subsets and that high PDPN expression is associated with maturation into fully immunocompetent FRC,16 while PDPN expression both in Peyer's patches and in the splenic white pulp is mainly found in TRC.12, 22 Both T cells and dendritic cells are in close contact with TRC and move along their projections within the T‐cell area.33 The mobility of dendritic cells is boosted by the ligation of the C‐type lectin‐like receptor 2 (CLEC‐2) with PDPN on TRC.34 Moreover, lymph node TRC are thought to function as the major source of the cytokine IL‐7 to promote T‐cell homeostasis.13 However, since IL‐7 can also be produced by lymphatic endothelial cells within lymph nodes35 and in the afferent lymphatics,36 the specific function of TRC‐derived IL‐7 for T‐cell sustenance and activation remains to be demonstrated. B‐cell follicles harbor distinct FRC subsets that produce CXCL13, the B cell‐attracting chemokine that binds to CXCR5.37 As mentioned above, CXCL13‐expressing MRC extend into the B cell follicle, while the most prominent reticular cell subset that underpins the B‐cell area has been named follicular dendritic cell (FDC).38 Due to their dendritic morphology, FDC have been assumed to be related to conventional dendritic cells, ie, to originate from bone marrow progenitors. Only recently, the progenitor cell of FDC has been revealed as perivascular myofibroblast that is characterized by the expression of platelet‐derived growth factor receptor β (Pdgfrb, CD140b).39 FDC in the B cell follicle can be identified by the expression the complement receptors CD21 and CD35 and can be found both in primary and secondary follicles.40 The main functions of FDC are the retention and presentation of particulate antigen on their surface to B cells using a broad range of FCγ‐receptors (ie, CD16, CD32)41 and the promotion of affinity maturation and somatic hypermutation of B cells in the germinal center reaction.42 FDC and probably other FRC subsets43 in the B‐cell follicle control the survival of B cells via B cell activation factor (BAFF) or transmembrane activator and CAML interactor (TACI).44 It has been suggested that the dark zone of the germinal center harbors a subset of CXCL12‐expressing reticular cells (CRC) that express PDPN and can be lineage‐traced using the Ccl19‐Cre and CD21‐Cre model.18 However, a unique phenotype of CRC could not be revealed using single‐cell RNA‐seq analysis7 indicating that the phenotypical distinction of FRC/FDC subsets underpinning the germinal center is still unclear. A main fraction of FRC express markers that are indicative for their perivascular location such as Itga7 (integrin α7), Pdgfrb (CD140b), and Acta2 (αSMA) in lymph nodes6, 7 and Ly6a (Sca‐1), Pdgfra (CD140a), and Vcam1 (CD106) in the spleen.22 It is likely that the perivascular reticular cell (PRC) fraction harbors the adult progenitor of all FRC subsets.22, 39 Other regions of the lymph node such as the deep cortical area appear to harbor a subset of FRC that is characterized by the expression of CCL21a, CXCL12, and LepR.19 This area of the lymph node is occupied by T cells, dendritic cells, and B cells suggesting that FRC acquire distinct phenotypical properties when they interact with multiple cell types. Indeed, FRC attain yet other properties when they co‐localize in medullary cords with macrophages, NK cells, and plasma cells.19 In this location, medullary reticular cells (medRC) express high levels of CXCL12, IL‐6, and BAFF and facilitate thereby the formation of dedicated niches for plasma cells.45 Single‐cell RNA‐seq analysis has confirmed the existence of at least two FRC subsets that localize in the medullary region indicating that medRC also promote the maintenance of NK cells in this region.7 Clearly, further studies are required to unveil the molecular properties and function of FRC subsets not only in the lymph node B‐cell niches but also in the different microenvironments of classical SLO. 2.2 Limited FRC heterogeneity in nonclassical SLO and TLS While the formation of classical SLO, ie, lymph nodes, splenic white pulp and Peyer's patches, is fully dependent on the presence of the lymphotoxin‐β receptor,46 the generation of nonclassical SLO (eg, FALC) or TLS (eg, inducible bronchus‐associated lymphoid tissue [BALT]) is largely independent of this pathway.2 For example, the formation of FALC requires the activation of stromal cells via the production of inflammatory cytokines such as the tumor necrosis factor (TNF), which are induced through the presence of microbiota in the intestine.47 Interestingly, the highly activated milieu of the intestinal lamina propria does not provide sufficient cytokine‐mediated stimulation to override the dependence of cryptopatch and isolated follicle formation on lymphotoxin‐β receptor signaling,48 indicating that the pathways employed in the generation of nonclassical SLOs are organ‐dependent. Likewise, TLS, which are locally inducible leukocytic aggregates that form in chronically inflamed nonlymphoid tissues,49 can form in different organs in a context‐dependent manner through triggering of inflammatory circuits involving IL‐17, IL‐6, IL‐1β, and/or IL‐22.50-53 In terms of structural organization and FRC content, both nonclassical SLO (Figure 1B) and TLS (Figure 1C) exhibit a reduced complexity when compared to the classical SLO. We will focus our review here on FALC and inducible BALT as examples of nonclassical SLOs and TLS, respectively, to highlight the few knowns and many unknowns of FRC biology in these compartments. FALC are located beneath the mesothelium and are surrounded by adipose tissues. A clear structural segregation of lymphocytes is not recognizable with a dense cluster of B cells being intermingled with CD4+ T cells and CD11b+ myeloid cells.54, 55 The main B cell population within FALC are B1 B cells that patrol body cavities and are the source of natural, low‐affinity immunoglobulin M (IgM) antibodies that bind to pathogenic bacteria.56 FALC also contain innate lymphoid cells (ILC), particularly type 2 ILCs and NKT cells.47, 55 The production of CCL19 and CCL21 by FALC FRC most likely mediates the attraction and retention of naive T cells.54 PDPN‐expressing FRC that underpin FALC structures are highlighted by the Ccl19‐Cre transgene, express PDPN and occupy perivascular niches with a surface marker profile that resembles splenic PRC (ie, PDGFRα+VCAM‐1+ICAM‐1+).8 Although these cells do not display the general phenotype of MRC or FDC, FALC FRC have been shown to produce the B cell‐attractant CXCL13.57 Hence, it appears that the somewhat random mixture of T and B cells in FALC is due to a high versatility of FALC FRC which permits attraction and interaction with B cells, T cells, and myeloid cells. Clearly, FALC FRC—and probably as well the FRC underpinning intestinal isolated lymphoid follicles—can steer both innate and adaptive immune responses without forming distinct microenvironments such as germinal centers. The formation of TLS is frequently associated with chronic inflammatory and autoimmune diseases.3, 58 Importantly, in the context of cancer, the presence of TLS correlates with improved survival in a growing list of human cancers including breast cancer,59 lung cancer,60 oral squamous cell61 and Merkel cell carcinomas,62 and melanoma.63 Hence, it is tempting to speculate that TLS serve as inducible and transient outposts of the immune system to locally cope with ongoing immunological threats. Moreover, it appears that the coordination of immune cell interaction within these structures relies on organizational principles that are comparable to those in the classical SLO (Figure 1C). During tumor formation, TLS undergo a maturation process that has been suggested to start with the segregation of T‐cell and B‐cell areas in the perivascular space and progresses by the appearance of germinal centers.64, 65 The subsequent development of germinal centers in tumor TLS is accompanied by the appearance of CXCL13‐producing, CD21+ FDC networks both in human colorectal cancer65 and in squamous cell carcinoma of the lung.64 The presence of chemokine‐secreting FRC that underpin TLS has been demonstrated in a variety of models of chronic organ inflammation.52, 53, 66 The formation of inducible BALT in the lung has revealed that the activation of the innate immune system via lipopolysaccharide instillation can drive the formation of local TLS in an IL‐17‐dependent fashion,50 while this cytokine is not necessary to induce BALT formation following intranasal infection with a propagation‐deficient virus.67 Nevertheless, viral infection appears to be sufficient to induce highly organized BALT structures that contain B‐cell follicles underpinned by a network of CXCL13‐expressing FDC as well as CXCL12‐producing, yet undefined, reticular stromal cells.66 Furthermore, the bacterial infection with Pseudomonas aeruginosa triggers BALT formation in a TLR‐dependent manner leading to the emergence of CXCL12+ reticular cells that is dependent on γδ T cell‐derived IL‐17, while FDC fail to develop under these conditions.66 Overall, the emerging view is that remodeling and maturation of immune‐stimulating FRC is one of the initiating events in the establishment of an immune‐competent niche capable of recruiting and retaining disease‐relevant lymphocytes in TLS.3 Hence, targeted modulation of FRC differentiation processes within TLS may lead to treatment modalities that either attenuate TLS formation during chronic inflammatory diseases or foster the development of such immune‐activating structures in malignant diseases. 3 IMMUNE CELL‐FRC INTERACTIONS The main function of secondary lymphoid organs is to preempt68 and to deal with1 the encounter of microbial agents and tumor cells. Pathogens and other antigenic material arrive at the antigen‐sampling zone of SLO, eg, the subcapsular sinus region of lymph nodes, where dedicated macrophage/dendritic cell populations take up and transfer antigen to B cells.69, 70 Consequently, disruption of the subcapsular sinus structure results in defective immune responses during secondary infection in mice.71 The cellular infrastructure of the murine splenic marginal zone functions in the same manner and efficiently retains infectious agents.72 Interestingly, it appears that the function of antigen capture and innate immunological sensing in the marginal zone of murine spleens is assigned to CD169‐positive macrophages and/or dendritic cells,69, 72 while in the human spleen MAdCAM1‐positive MRC operate as coordinators of immune cell interaction and drivers of subsequent immune activation.24 Antigens are further dispersed in the lymph node through the lymphatic sinuses that pervade the lymph node parenchyma, and are taken up by distinct dendritic cell subsets for the delivery to CD8+ or CD4+ T cells.73 The interaction of dendritic cells and T cells depends on the infrastructure provided by TRC74 and is regulated by TRC‐derived factors such as CCL2175 or lysophosphatidic acid.76 The efficient interaction of T and B cells at the T‐B border during viral infection depends on the presence of BAFF‐producing FRC.44 Other FRC subsets contribute during the subsequent steps of B‐cell activation in lymph nodes including antigen presentation in the germinal center,42 regulating B‐cell migration during the germinal center reaction,18, 42 and establishing plasma cell competent microenvironments in the medulla.45 FRC can perform these multiple functions because they are able to integrate a variety of signals through sensing of innate immunological stimuli and the differentiation of cellular signals in their immediate environment (Figure 2A). In the following sections, we will summarize how FRC detect and process pathogen‐derived innate immunological signals and illustrate the molecular pathways employed by FRC to regulate adaptive immune responses in lymph nodes, Peyer's patches and FALC. 3.1 Innate immunological sensing by FRC FRC can directly recognize pathogens and their immune‐activating signals using various pattern recognition receptors and particular sets of immune‐activating molecules.6, 7, 77 The activation of in vitro cultivated FRC from SLO12 or FALC8 with various TLR ligands including lipopolysaccharide, poly(I:C), and zymosan leads to upregulation of adhesion molecules ICAM‐1 and VCAM‐1 and the secretion of inflammatory mediators such as CCL2, IL‐6, and TNF. In vivo, lymph node FRC react rapidly to systemic application of lipopolysaccharide with the activation of antigen presentation and type 1 interferon (IFN) pathways and alterations in the generation of extracellular matrix proteins including matrix metalloproteinase‐9, periostin, collagen type VI, and laminin α2.6 Direct ligation of TLR4 on FDC by lipopolysaccharide leads to increased expression of adhesion molecules and promotes the production of antigen‐specific antibodies when FDC are co‐cultured with B cells in vitro.78 Moreover, the activation of FDC by oxidized phospholipids, which function as endogenous TLR4 ligands, can foster the germinal center reaction by promoting higher rates of class‐switch recombination and somatic hypermutation in B cells.79 The formyl peptide receptor 2 that binds microbial products derived from Escherichia coli or Listeria, interacts with the endogenous ligand LL‐37 to enhance CXCL13 and BAFF production by FDC and thereby promotes B‐cell proliferation.80 Viruses can directly infect FRC as demonstrated for the lymphocytic choriomeningitis virus in mice14, 81 and human viruses including Chikungunya virus82 or Ebola virus.83 Complex immune cell interactions are triggered when intracellular viral RNA is recognized by FRC via TLR712 (Figure 2B). The transcriptomic analysis of lymph node FRCs after subcutaneous infection with herpes simplex virus‐1 (HSV‐1) revealed a pronounced activation of type‐I IFN pathway in FRC.77 Virus‐induced inflammation results in FRC proliferation and the induction of a substantial remodeling of the FRC landscape.35, 77 However, excessive activation of TLR7 ligands, eg, through internalization of ribonucleotide proteins complexes via CD21, can result in type 1 IFN production by FDC which supports the long‐lasting maintenance of the germinal center response and sustained production of antinuclear antibodies with perpetuation of a lupus‐like disease in mice.84 Hence, FRC activation through innate immunological pathways requires dedicated control mechanisms to avoid immunopathological sequela. Innate immunological recognition circuits are integrated intracellularly via particular molecular switches such as the myeloid differentiation primary response 88 (MYD88) protein85 and can be amplified by cellular receptors such as the type‐I IFN receptor (IFNAR).86 During infection with the murine cytomegalovirus, blockade of the type‐I IFN pathway leads to a change in viral tropism with a shift from subcapsular macrophages to MRC as the main target cells. The elevated infection rate of MRC leads to the activation and recruitment of NK cells, which efficiently reduce the viral burden in the subcapsular sinus but consequently destroy the reticular cell network of lymph nodes leading to systemic distribution of the virus.87 Overall, it appears that IFNAR signaling in the stromal cell compartment is important to contain viral replication in a broad range of experimental models. However, whether and to which extent IFNAR signaling in FRC directly contributes to the control of a viral infection has not been determined yet. Further FRC innate activation signals can be derived from immune cells that populate their particular microenvironmental niches. For example, in murine FALC, both FRC and hematopoietic cells attracted by FRC can serve as source for TNF8 (Figure 2C). Likewise, human tonsillar FRC respond in vitro to TNF exposure with increased expression of adhesion molecules and enhanced production of inflammatory cytokines.88 Further consequences of innate immunological sensing by FRC include the production of T cell‐activating factors such as IL‐33, which is produced by splenic PDPN+ FRC during vaccination with a recombinant viral vector.89 Single‐cell RNA‐seq analysis has revealed a population of FRC in naive lymph nodes that express high levels of Cxcl9.7 It appears that CXCL9 is mainly provided by stromal cells while CXCL10 is mainly express by murine myeloid cells DC following immunization of mice with dendritic cells that are pulsed with ovalbumin protein and activated with lipopolysaccharide and poly(I:C).90 In sum, FRC actively participate in the earliest phases of developing immune responses through their function as recipients of innate immunological signals and as coordinators of subsequent immune reactions through autocrine and paracrine signal amplification. 3.2 FRC control adaptive immune responses in lymph nodes and Peyer's patches Molecules of the TNF receptor superfamily are not only crucial for the formation of lymphoid organs2, 46, 68, 91 but also profoundly impact the maturation of myofibroblastic progenitors into fully immunocompetent FRC. For example, genetic ablation of lymphotoxin‐β receptor expression on Ccl19‐Cre+ FRC leads to defective FRC maturation with reduced expression of key molecules such as Ccl19, Ccl21, and Il7, that precipitates high susceptibility to viral infection due to impaired activation of T cells.16 While the lymphotoxin‐β receptor appears to affect the maturation of all FRC subsets in lymph nodes, other molecules from the TNF receptor superfamily appear to be required for subset specification. For example, FDC differentiation depends on TNF produced by B cells,92 while CD30 contributes to proper B‐ and T‐cell zone segregation that is associated with reduced PDPN expression on yet undefined FRC subsets.93 The intricate regulatory circuits of FRC‐immune cell interaction that found the basis of protective immune responses is highlighted in a recent study on intestinal Listeria monocytogenes infection in mice.94 Listeria infection induces intestinal epithelial cell proliferation and depletion of goblet cells, while CX3CR1+ myeloid cells in Peyer's patches produce IL‐23 and thereby activate IL‐17‐secreting γδ T cells. The resulting IL‐11 production by PDPN‐expressing cells in Peyer's patches facilitates the activation of enterocytes and limits intestinal villus invasion by Listeria.94 However, such protective FRC‐immune cell interactions may precipitate immunopathological consequences such as a decreased thickness of the mucus barrier that eventually fosters intestinal inflammation.94 Thus, FRC can function both as activating and regulating cellular entities during immune responses. The ability of FRC to negatively impact T‐cell responses has been first noted by the Turley group who demonstrated that FRC in lymph nodes can present peripheral tissue antigens to T cells and thereby attenuate self‐reactivity.95 It has been proposed that the generation of nitric oxide by lymph nodes FRC regulates the expansion and activity of T cells.96, 97 However, since nitric oxide can be produced by other lymph node stromal cells such as lymphatic endothelial cells,96 it remains to be determined, for example, through FRC‐specific ablation of the inducible nitric oxide synthase gene, to which extent FRC regulate T‐cell activity through this mechanism. It is also possible that FRC regulate global immune responsiveness by impacting regulatory T‐cell differentiation. It is generally assumed that dendritic cells are the main cell population that control the differentiation pathway of CD4+ T cells toward the FoxP3+ regulatory T‐cell phenotype.98, 99 However, a recent study suggests that FRC in mesenteric lymph nodes can modulate resident dendritic cells via a bone morphogenic protein‐2‐dependent pathway to foster the induction of regulatory T cells.21 Further studies are warranted to elaborate such direct and indirect pathways of FRC‐dependent immune regulation. Innate lymphoid cells (ILC) regulate immune responsiveness by bridging innate and adaptive immunity. In contrast to T and B cells, ILC lack rearranged antigen receptors and their development and activation is therefore mainly steered via soluble factors and their receptors. Since ILC are particularly abundant at mucosal sites, they are considered as the main cell population that maintains tissue integrity and homeostasis via innate immune mechanisms.100 ILC accumulation at mucosal surfaces relies on the provision of survival factors such as IL‐7 and IL‐15 that can be produced by FRC13, 101 However, ILC also reside in SLO where they are involved in the regulation of adaptive immunity.102, 103 Recently, it has been shown that group 1 ILC are localized in the T cell zones of Peyer's patches and that Ccl19‐Cre+ FRC generate an essential niche for these cells through the provision of IL‐15.12 However, IL‐15 production by PDPN+ FRC in Peyer's patches is rapidly abrogated under excessive inflammatory conditions such as infection with a cytopathic virus. Importantly, the swift cessation of IL‐15 production by FRC in Peyer's patches and mesenteric lymph nodes is dependent on MyD88 signaling which prevents an overshooting activation of NK1.1+ ILC and immunopathological overstimulation of IFN‐γ‐producing Th1 cells (Figure 2B). As a consequence, unrestrained Peyer's patch FRC lacking MyD88 expression permit the rapid clearance of a cytopathic viral infection through boosted ILC1 and Th1 responses which is accompanied by impaired intestinal integrity, bacterial dysbiosis, and chronical intestinal inflammation.12 This study shows that FRC in lymph nodes and Peyer's patches can act as immune rheostats through the regulation of group 1 ILC activity. It will be important to further elaborate the mechanisms that grant FRC in lymphoid organs control over innate and adaptive immune responses. 3.3 FRC‐dependent immune responses in FALC In case of a breach of pathogenic microorganisms into one of the body cavities, protective immunity needs to be mounted swiftly to prevent harm to the internal organs. The adipose tissue underlying the mesothelial surface of the pericardial, pleural and peritoneal cavities harbors variable numbers of FALC.104 In the omentum, a mesothelium‐covered tissue flap that connects stomach, pancreas, colon, and spleen, FALC have been shown to collect fluids and particles from the peritoneal cavity.105 The uptake of inflammation‐inducing substances from the peritoneal cavity such as lipopolysaccharide106 or the lipid‐based antigen zymosan47 induces an increase of omental FALC size and numbers. It has been shown that opsonization of bacterial antigens by natural, low‐affinity IgM antibodies generated by peritoneal B1 B cells can promote the uptake and elimination of bacteria by myeloid cells.107 Moreover, the presence of viral particles in the peritoneal cavity increases the cellularity and size of FALC with concomitant attraction of macrophages from the peritoneal cavity to these structures.108 Other immune cells in the peritoneal cavity such as B‐2 B cells109 or neutrophils110 reach FALC via the blood vasculature. Although FALC lack the compartmentalization observed in classical SLO, their structural foundations support the rapid generation of both T‐ and B‐cell immune responses. For example, intraperitoneal application of antigens such as ovalbumin leads to the initial activation of antigen‐specific CD4+ and CD8+ T cells in omental FALC.54 Similarly, T‐dependent and T‐independent B‐cell responses are generated first in FALC following intraperitoneal antigen application.47 The role of FRC in the initiation of adaptive immune responses in FALC has only recently been clarified. It appears that CXCL13‐expressing FRC in FALC not only support the attraction and retention of B cells,54, 57 but that Ccl19‐Cre+ FALC FRC can directly sense the presence of microbial products via TLR4 and initiate a MyD88‐dependent immune‐amplifying cascade8 (Figure 2C). Following exposure to TLR2 and TLR4 ligands FALC FRC secrete inflammatory cytokines and chemokines including CCL2 to attract CCR2+ inflammatory monocytes from the circulation.8 Inflammatory monocytes establish a crucial crosstalk with FALC FRC that leads to the rapid growth and remodeling of FALC. TNF functions as the main factor that regulates the reciprocal communication between FRC and the myeloid cells and eventually facilitates the generation of humoral immunity within FALC8, 47 (Figure 2C). Interestingly, although FALC lack FDC, the microenvironmental remodeling provided by FRC is sufficient to promote germinal center‐like B‐cell responses with class‐switch recombination and a discrete somatic hypermutation.47, 54 Currently, it remains unknown whether CXCL13+ and CCL19+ FRC represent two distinct cell types or whether a variable expression of the two chemokines represents different functional states. It will be possible to clarify this question by using appropriate cell fate mapping models to track the lineage commitments of FRC subsets within nonclassical SLO. Beyond their prominent function in the initiation and coordination of innate and adaptive immune responses in FALC, FRC present in visceral adipose tissues may also contribute to the maintenance of immune homeostasis and the regulation of the immune‐suppressive environment of adipose tissues under steady‐state conditions. Adipose tissues, including the omental fat favor the accumulation of IL‐10‐producing B cells111 and regulatory T cells.112 Regulatory T cells in adipose tissues are characterized by high expression of the IL‐33 receptor ST2,112 with IL‐33 being one of the main tissue factors that impacts the development and maintenance of regulatory T cells in this compartment.113 Since IL‐33 is mainly produced by FRC‐like cells in FALC,114 it is tempting to speculate that this circuit not only controls B1 B‐cell activation and local IgM production during lung infection and inflammation,114 but that FALC FRC equilibrate immune‐activating and ‐suppressive circuits in these tissues. The regulation of physiological functions by FRC‐derived IL‐33 in the adipose tissue may even extend to other body functions such a thermogenesis.115 Further studies will be required to better understand the molecular processes underlying FRC‐dependent immune activation in FALC. Moreover, it will be important to dissect the relation of FALC FRC to other PDPN expression fibroblasts in visceral adipose tissues and to elaborate the mechanisms employed by FRC that contribute to the maintenance of tissue homeostasis. 4 CONCLUDING REMARKS The translation of innate immune signals into activating or regulating processes that steer adaptive immune responses has been regarded as one of the main roles of professional APC such as dendritic cells. FRC as dedicated immune‐interacting fibroblasts have now entered the stage to be recognized as cells that crucially contribute to the decision‐making within the immune system. The many functions of FRC are accomplished through the generation of specific microenvironmental niches for various types of immune cells. Distinct subsets of FRC form these niches to support immune cell migration, survival, and differentiation. Interestingly, it seems that particular genetic programs are imprinted in the immune‐interacting fibroblasts depending on their anatomical location. The main differentiation switches of FRC differentiation have been identified with the lymphotoxin‐β receptor representing a necessary “signal 1” for FRC maturation in classical SLO.16 However, further research needs to dissect the intercellular communication pathways between FRCs and the various immune cells that impact the differentiation trajectories of FRC in lymphoid and nonlymphoid organs. Indeed, it appears that the intestinal lamina propria of patients suffering from inflammatory bowel disease harbors at least one mesenchymal stromal cell population that closely resembles lymphoid organ FRC and is highlighted by the expression of IL‐33 and Lysyl oxidases.116 Thus, understanding the mechanisms that govern FRC differentiation in SLO and TLS will, for example, open novel avenues to target drugable FRC differentiation pathways in TLS that form during human chronic inflammatory diseases such as rheumatoid arthritis117, 118 or Sjören's syndrome.119 A major challenge that should to be addressed in the future is the lineage relationship of FRC with other mesenchymal cell types such as adipocytes, chondrocytes, or regular tissue fibroblasts. The definition of mesenchymal cell types needs to be coupled to their development origin and their function within a tissue. Hence, a combination of single‐cell transcriptome analysis and faithful in vivo lineage tracing needs to be employed120 to obtain consistent definitions of the cell types that are currently covered by the broad terms “stromal cells” or “mesenchymal cells”. ACKNOWLEDGEMENTS We thank Dr. Natalia Pikor for critical reading of the manuscript. This study received financial support from the Swiss National Science Foundation (grants 166500 and 177208 to BL). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. CONFLICT OF INTEREST The authors declare no conflict of interest. REFERENCES
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Concepts of GPCR‐controlled navigation in the immune system - Lämmermann - 2019 - Immunological Reviews - Wiley Online Library

Summary G‐protein–coupled receptor (GPCR) signaling is essential for the spatiotemporal control of leukocyte dynamics during immune responses. For efficient navigation through mammalian tissues, most leukocyte types express more than one GPCR on their surface and sense a wide range of chemokines and chemoattractants, leading to basic forms of leukocyte movement (chemokinesis, haptokinesis, chemotaxis, haptotaxis, and chemorepulsion). How leukocytes integrate multiple GPCR signals and make directional decisions in lymphoid and inflamed tissues is still subject of intense research. Many of our concepts on GPCR‐controlled leukocyte navigation in the presence of multiple GPCR signals derive from in vitro chemotaxis studies and lower vertebrates. In this review, we refer to these concepts and critically contemplate their relevance for the directional movement of several leukocyte subsets (neutrophils, T cells, and dendritic cells) in the complexity of mouse tissues. We discuss how leukocyte navigation can be regulated at the level of only a single GPCR (surface expression, competitive antagonism, oligomerization, homologous desensitization, and receptor internalization) or multiple GPCRs (synergy, hierarchical and non‐hierarchical competition, sequential signaling, heterologous desensitization, and agonist scavenging). In particular, we will highlight recent advances in understanding GPCR‐controlled leukocyte navigation by intravital microscopy of immune cells in mice. 1 INTRODUCTION Innate and adaptive immune responses depend on the coordination and spatiotemporal control of leukocyte dynamics between and within lymphoid organs and peripheral tissues. A wide spectrum of chemically diverse molecules including small proteins, peptides, lipids, nucleotides, and extracellular matrix fragments can act as chemoattractants, regulating leukocyte motility, migration, chemotaxis, positioning, and cell‐cell interaction. Leukocytes perceive these signals mainly through G‐protein–coupled receptors (GPCRs) that, upon agonist binding, induce intracellular promigratory responses.1, 2 Based on the cell type–specific expression of cell surface GPCR type combinations and intracellular GPCR‐controlling protein networks, each leukocyte subset has evolved specific trafficking paths to fulfill their designated effector functions in the body.3-5 Over the last decades, the analysis of GPCR‐deficient mouse models has advanced our understanding of how specific GPCR signals determine immune cell positioning and compartmentalization in situ. Recent work now also started to shed light on the establishment of chemokine patterns and chemotactic fields that guide leukocytes in mammalian tissues.6, 7 In particular, intravital imaging of control and GPCR‐deficient leukocytes in tissues of live anesthetized mice has brought unprecedented insight into the dynamic migration patterns of immune cell subsets in situ.8, 9 Despite these achievements, it is still largely unclear how leukocytes make directional decisions in lymphoid and inflamed organs where they constantly encounter GPCR signals emanating from multiple sources. The detailed mechanisms of how leukocytes sense, integrate, and prioritize between multiple chemotactic fields in situ and how this influences their physiological trafficking are still largely unknown. Dissecting these molecular events experimentally in mammalian tissues is very challenging and demanding. In particular, we are missing important pieces of information (eg, the exact distribution and concentrations of known chemottractant, GPCR dynamics in leukocytes) and cannot control for unknown chemotactic fields. Due to these current limitations many of the emerging concepts for leukocyte navigation in complex chemoattractant milieus come from studies in controlled in vitro systems2 or lower model organisms.10, 11 However, these concepts from reductionist models may not always be easily translatable to the complex situation in mammalian lymphoid organs and inflamed peripheral tissues. In recent years, several systematic studies in mice have started to disentangle how multiple GPCR signals shape leukocyte migration patterns in the complexity of mammalian tissues. In this review, we will summarize common concepts and mechanisms of GPCR‐controlled leukocyte navigation coming from studies with mouse and human leukocytes. We outline the protein networks that control GPCR signaling and GPCR activity and discuss how these may control leukocyte navigation strategies. In particular, we highlight our current knowledge on leukocyte navigation in complex chemoattractant fields and summarize them for three leukocyte subsets (neutrophils, T cells, and dendritic cells [DC]) with different physiological trafficking paths. For each cell type, we will critically evaluate the relevance of current concepts for leukocyte navigation in mouse tissue. While it is very likely that some navigation strategies are only relevant for certain immune cell types and adapted to specific physiological tissue environments, leukocyte subsets may also share basic strategies for directional decision‐making in lymphoid and inflamed tissues of mammals. 1.1 Concepts and mechanisms of GPCR‐controlled leukocyte navigation Many chemokines and chemoattractants are classical inducers of leukocyte polarity, adhesion, and locomotion. They act through GPCRs on intracellular signaling pathways to establish biochemical asymmetry within the cell, preceding the formation of a polarized cell with an actin‐rich front and a myosin II–rich rear.12, 13 Key molecular pathways involved in establishing functional polarity downstream of GPCRs in leukocytes depend on phosphoinositide 3‐kinases (PI3K) and members of the Rho family of small GTPases.14 Rac isoforms, Cdc42 and RhoA represent major signal hubs that act through several effector molecules to regulate actin polymerization and actomyosin cytoskeleton. The balanced interplay of these components shapes the typical amoeboid migration mode of each leukocyte subset.15, 16 In homogeneous fields of soluble chemokines and chemoattractants, most leukocytes undergo self‐polarization, before increasing their motility, migration speed, and movement in a random and undirected fashion (chemokinesis) (Figure 1A).17 Chemokinesis is considered a migratory pattern that helps leukocytes scan large tissue volumes. We have learnt from intravital microscopy studies in mice that lymphocytes show such continuous undirected (random‐walk) migration in lymphoid organs to enable encounters and interactions with other leukocytes.9 Together with other determining factors (eg, confinement between stromal tissue elements), uniform chemokine signals critically control chemokinesis by increasing the speed of randomly moving lymphocytes in situ.18 Once leukocytes perceive external gradients of soluble chemokines and chemoattractants, they can perform directional movement along the concentration gradients of these diffusing attractants (chemotaxis) (Figure 1B).17 Some leukocyte subsets have also been reported to be repelled from high chemoattractant concentrations (chemorepulsion), leading to their movement against the gradient (fugetaxis).19 However, the underlying molecular mechanisms of this process are still under investigation (Figure 1C).20, 21 Apart from soluble molecular cues, leukocytes also perceive surface‐bound attractants as gradients or as homogeneous fields and undergo movement along these surfaces in a directed (haptotaxis) (Figure 1B) or undirected manner (haptokinesis) (Figure 1A), respectively.16, 22 The aspect of leukocyte navigation along surface‐bound attractants is particularly relevant for chemokines with binding capacities to extracellular glycosaminoglycans (GAGs), which decorate many stromal cell elements in tissues.22, 23 This form of imprinting non‐diffusible chemokine gradients into the tissue has been shown critical for leukocyte trafficking across the blood endothelium and entry into lymphatic vessels.6, 23 The terms “chemotaxis” and “haptotaxis” subsume a spectrum of navigation strategies, which leukocytes can use to follow attractant gradients.24 When perceiving an external attractant gradient, some leukocytes (eg, unstimulated neutrophils in culture dish) undergo a full morphological change from unpolarized shape to the establishment of a front‐back axis, which then leads to directional movement along the gradient. In contrast, other leukocytes already migrate with pre‐established polarity (eg, DCs and neutrophils in 3D), before they steer along the gradient by redirecting their migration path. Alternatively, prepolarized leukocytes may move along a gradient without redirecting their path and start to accelerate the closer they get to the attractant source (eg, neutrophils in response to dying cells). Once at the highest attractant source, leukocytes may also actively decelerate and slow down their migration.24 As evidenced from intravital microscopy of select leukocyte subsets, we know that this spectrum of chemotactic responses also occurs in mouse tissues. While we acknowledge that chemokines and chemoattractants are central for many aspects of these migratory responses, we are missing a detailed understanding about how these signals shape the navigation of leukocytes in situ. Is the cellular movement guided by one or more attractant signal(s)? How do leukocytes navigate in complex gradient fields and sense the right direction? How do leukocytes sense their final destination and know where to stop? Are there inherent differences between leukocyte subsets in their navigation strategies? As many other cell types, leukocytes possess several mechanisms that directly regulate the functionality of GPCRs.13, 25-28 These are mainly controlled by GPCR interactions with three protein families: heterotrimeric (α, β, γ) G‐proteins, G‐protein–coupled receptor kinases (GRKs), and β‐arrestins. Upon stimulation, a GPCR functions as a guanine nucleotide exchange factor that catalyzes the exchange of GTP for GDP on Gα subunits of the heterotrimeric G‐protein. In leukocytes, Gα subunits of the pertussis toxin‐sensitive Gi subfamily play critical roles for the signaling of many chemokine and chemoattractant receptors. The dissociation of Gβγ from Gα‐GTP allows them both to independently activate downstream signaling pathways. Leukocyte chemotactic responses are largely controlled by the released Gβγ, which activates phosphoinositide 3‐kinase (PI3K) and phosphoinositide‐specific phospholipase Cβ (PLC)/inositol‐trisphosphate (IP3)/diacylglycerol effector pathways.29, 30 The termination of GPCR signaling relies on the intrinsic GTPase activity of the Gα subunit that hydrolyzes GTP and reassembles as Gα‐GDP with Gβγ to form an inactive heterotrimer. This Gα GTPase reaction is accelerated by a family of proteins, called “regulators of G‐protein signalling” (RGS proteins) to facilitate the rapid turning off GPCR signaling. Hence, RGS proteins are considered key desensitizers of G‐protein‐signaling pathways.27 In addition, another negative feedback loop evolved to prevent the overstimulation of cells through excessive GPCR stimulation. Following agonist binding and G‐protein activation, GPCRs become rapidly phosphorylated on their cytoplasmic tails and intracellular C‐termini by specific enzymes, usually members of the GRK family.31, 32 The pattern of receptor phosphorylation creates a barcode with high‐affinity binding sites for the recruitment of β‐arrestin proteins.33 As a consequence, the increased binding of β‐arrestin to the receptor sterically hinders the GPCR interaction with G‐proteins. This uncoupling of G‐proteins from the receptor, referred to as “receptor desensitization”, prevents further GPCR activation by repeated agonist stimulation over seconds to minutes.34 β‐arrestins can also control more long‐lasting desensitization of GPCRs over minutes to hours. As they can interact with clathrin‐coated pits, their binding to GPCRs also targets receptors for internalization. Besides, GPCR internalization can also follow other pathways (arrestin independent, clathrin independent) or not occur at all.35 Depending on the intracellular trafficking route, the internalized receptors may be subject to degradation, leading to the downregulation of cell surface GPCRs. Alternatively, targeting internalized GPCR to recycling endosomes and back to the plasma membrane can quickly replenish GPCRs on the cell surface.35 In addition to their important roles in receptor inactivation and internalization, GPCR‐recruited β‐arrestins also act as signaling mediators by directly coupling to numerous signaling molecules.36 At many GPCRs, β‐arrestin‐mediated signaling and classical G‐protein signaling can have distinct biochemical and physiological actions from one another. A relatively new paradigm on GPCR signaling considers the allosteric interaction among the ligand, the GPCR, and the transducers (β‐arrestins and GRKs) and how their contribution influences the bias for G‐protein– or β‐arrestin–mediated signaling.28 Resulting from this paradigm, the concept of biased agonism, ie, that different ligands at the same GPCR are able to activate some signaling pathways while blocking others, is of particular interest for many chemokine receptors with prominent roles in leukocyte navigation.37 In the following, we will point out the most commonly and recently discussed mechanisms, which would allow the control of leukocyte navigation. Given the before‐mentioned regulation mechanisms for GPCR functionality, a “One‐GPCR system” appears already sufficient to control chemokinesis and chemotaxis of leukocytes (Figure 2A‐E). To increase the sensitivity for attractant gradients, leukocytes can upregulate the cell surface expression of GPCRs. Some leukocytes store GPCRs in intracellular vesicles, which can fuse with the plasma membrane under conditions of leukocyte activation.38 While the release of GPCR from vesicular stores occurs within minutes to hours, most leukocytes often respond to external stimuli by changing their cell surface GPCR profile over hours to days. These changes are primarily based on the induction of gene‐transcription networks, which also include GPCR proteins, when leukocytes transition between cell states or undergo differentiation (Figure 2A). Multimerization of GPCRs, including homomerization of the same GPCR type, provides another level of GPCR regulation.25 A recent study highlighted the functional importance of GPCR oligomerization in promoting leukocyte chemotaxis (Figure 2B). By lowering cellular cholesterol, inflammatory stimuli enabled GPCR oligomers that acted as scaffolds for distinct promigratory signaling pathways to foster efficient leukocyte migration.39 However, GPCR multimerization has also been reported to dampen GPCR responsiveness.25 Several other mechanisms can attenuate the sensitivity of leukocytes for chemokines and chemoattractants. One involves the presence of a receptor antagonist that binds to the same GPCR as the gradient‐forming attractant agonist, but exerts blocking function for promigratory signaling (Figure 2C). More cell‐intrinsic mechanisms include the downregulation of GPCR expression by lowering GPCR mRNA stability40 or enhancing GPCR degradation.41 As discussed above, agonist‐induced receptor desensitization also attenuates the signaling responsiveness of GPCRs. Upon homologous desensitization, when GRKs phosphorylate agonist‐specific GPCRs, the further recruitment of β‐arrestins can lead to G‐protein uncoupling and internalization of GPCRs (Figure 2D). This process explains why many leukocyte chemotaxis responses toward single attractants are dose dependent and follow a bell‐shaped curve, with higher concentrations resulting in stasis.42 Homologous desensitization may be particularly relevant when leukocytes sense high attractant concentration in situ, eg, at the center of an attractant source.43 Under such conditions, the majority of cell surface GPCRs is likely to undergo desensitization, internalization, and degradation, which may then result in cellular unresponsiveness to continuous or repeated stimulation through the same attractant. As a strategy to remain responsive to subsequent stimulation in gradients, some leukocytes internalize GPCRs, deploy its ligand cargo into lysosomes, and quickly recycle unloaded GPCRs back to the plasma membrane.44 Thus, by eliminating chemotactic factors from the extracellular environments, classic GPCRs can acquire additional scavenging function. This “consumption” of external attractant may also impact the chemotactic milieu by reducing the strength of attractant cues.44 Instead of only binding one agonist, many “One‐GPCR systems” can bind and respond to two or more chemoattractants and activate downstream signaling (Figure 2E). Sensing these distinct attractants through the same GPCR in a spatial or temporal sequence can provide another navigation strategy. In our body, leukocytes are rarely exposed to only one chemotactic factor. For efficient trafficking between organs and coordinated movement within tissues, most leukocytes express more than one GPCR on their surface and sense a wide range of chemokines and chemoattractants. Directional decision‐making in lymphoid and inflamed organs requires leukocytes to constantly sense, compare, and integrate numerous GPCR signals emanating from multiple sources. To efficiently navigate in a complex milieu of attractant gradients, leukocytes need to respond to combinational signals and prioritize between competing signals. While this aspect of GPCR signal integration has already been of interest decades ago, it has regained momentum with the recent developments in fabricating microfluidic‐based chemotaxis devices. We will now briefly summarize common mechanisms and concepts for leukocyte navigation, which become already relevant in the presence of a second GPCR signaling system (“Two‐GPCR systems”) (Figure 3). As leukocytes often use combinations of more than two‐GPCR systems, these principles could be further expanded. Manifold scenarios of attractant interpretation are conceivable, when leukocytes sense two chemoattractant signals through two different GPCR types (Figure 3). The outcome for leukocyte guidance depends on several determining parameters: (a) the spatial distribution of each signal (uniform, graded), (b) the spatial orientation of both signals toward each other (same or opposing directions), and (c) the ratio of signaling input that leukocytes receive from both signals (equal, unequal). The latter point includes both cell‐intrinsic features and cell‐extrinsic conditions. Unequal signaling input can result from different cell surface expression of the two‐GPCR types or different strength of the downstream signaling pathway. In both cases, one chemoattractant signal dominates over the other. This can also occur in leukocytes with equal signaling input from both GPCR systems under conditions of unequal concentrations of both signals in the extracellular space. Many of these scenarios have already been addressed with select leukocyte subsets and their cell‐specific GPCR combinations in controlled in vitro microenvironments, and examples will be discussed in the next paragraphs about specific leukocyte subsets (neutrophils, T cell, and DCs). As discussed before, homogenous chemoattractant fields can induce leukocyte polarity and chemokinesis. A second‐graded signal “on top” can then redirect prepolarized leukocytes and guide them toward other locations. However, if the uniform attractant field is very potent, it will retain leukocytes and attenuate chemotaxis toward the second‐graded signal (Figure 3A).45-48 Under conditions when both attractant signals are oriented in the same direction and overlap, the two‐GPCR signals have usually additive effects for leukocyte chemotaxis (Figure 3B). In the case of promigratory signals, chemotactic factors act often synergistically to improve chemotaxis along the same direction.49 Physiologically, this might be of particular relevance for tissue sites where overlapping attractant gradients originate from the same local area. A special variant of GPCR signal synergism has initially been observed in migrating human and mouse neutrophil populations in vitro. During their chemotaxis in response to shallow N‐formyl‐peptides (fMLF) gradients, neutrophils released the lipid leukotriene B4 (LTB4) that acted on top of the early chemotactic factor as a signal relay molecule to improve chemotaxis of the whole neutrophil population.50 Under conditions when leukocytes encounter two spatially opposing gradients, the two‐GPCR signals compete for guiding leukocytes into one or the other direction (Figures 3C and 4). Leukocytes exposed to two opposing attractants with equal signaling strength will likely accumulate and find migratory equilibrium in the middle of both gradients (Figure 3C).47, 48, 51, 52 However, an unequal signaling input from both signals favors the movement of leukocytes into one direction (Figure 4A).47 It is known for decades that specific GPCR signals can dominate over other GPCR signals, which enables leukocytes to prioritize some chemoattractant signals over others (Figure 4B).42, 45 This aspect of GPCR crosstalk provided a first conceptual framework for neutrophils traveling in a stepwise fashion from the blood into infected tissues.45 Initially, it was discussed that heterologous desensitization of GPCRs might be an underlying mechanism for prioritizing chemotactic cues. In contrast to homologous desensitization (see above), heterologous GPCR desensitization is agonist independent and results from the phosphorylation of one GPCR by a kinase activated through the signaling cascade of another activated GPCR (Figure 3D). Thus, one‐GPCR signal can act as desensitizing signal for multiple other GPCR types, causing leukocytes to become refractory to several chemotactic stimuli within minutes. This rapid cross‐phosphorylation has been linked to second‐messenger kinases, particularly protein kinase C, which phosphorylates the GPCR at sites different from GRKs.53 For neutrophil navigation in opposing gradients, it was later proposed that the dominance of certain GPCR signals is regulated by events downstream of the receptors. According to this concept, referred to as “signaling hierarchy”, special GPCRs induce intracellular signaling pathways that can override signaling pathways downstream of other GPCR signals42, 54 (see below for details). Leukocyte populations in tissues rarely consist of identical cell clones, but are rather characterized by many cells with slightly heterogeneous expression of GPCR combinations. Thus, single‐cell heterogeneity on the basis of combinatorial GPCR expression may influence the population response in two opposing attractants with equal signaling strength (Figure 4C). In many physiological settings, leukocytes are thought to navigate step‐by‐step through sequential chemotactic fields. Under conditions of two spatially segregated chemotactic signals in sequence (Figure 3E), leukocytes may first move along a first attractant gradient (Figure 1A), and then subsequently sense the gradient of a second, more distant attractant. During the transition from first to second attractant gradient leukocytes then encounter a competitive situation between two gradients (Figure 3C). When the second signal is dominant over the first one, it is plausible that leukocytes are recruited to and then retained at the distant site. Importantly, even without any dominance between the signals, leukocytes can migrate away from a first attractant and travel toward a second, more distant attractant.45 In principle, this also allows leukocytes to leave chemotactic fields of high, saturating concentrations. Moreover, leukocytes remain responsive for additional attractant changes, while moving back and forth in the equilibrium between both gradients. Thus, interpreting two distinct signals in sequence allows efficient navigation patterns that are not possible with only one attractant presented in the same spatial array. We want to point out that the sequential sensing of attractant gradients can also be temporally controlled (Figure 3E). Leukocytes may undergo sensing of a first attractant gradient, while a second attractant arises newly in close vicinity. In the course of an immune response in lymphoid or inflamed tissues, this may result from chemoattractant secretion of nearby activated tissue‐resident cells or recently recruited, blood‐derived leukocytes. As most immune responses are choreographed by a sequence of timely separated cellular events, it is likely that this aspect of sequential sensing has strong influence on leukocyte navigation in situ. In our contemplation on leukocyte navigation by “Two‐GPCR systems”, we have focused until now on GPCRs with signaling function. However, many leukocyte subsets additionally express members of the atypical chemokine receptor (ACKR) family on their surface. Also referred to as scavenging receptors, ACKRs are GPCRs with promiscuous binding affinity for multiple chemokines. As they do not couple to G‐proteins, they are unable to induce intracellular signaling pathways. Instead, ACKRs can actively internalize and target chemokines for lysosomal degradation.55 Functional co‐expression of conventional chemokine receptors and ACKRs in leukocytes has been implicated in the fine‐tuning of leukocyte chemotaxis, with ACKRs acting as rheostats in restricting excessive migration in response to moderate chemokine levels (Figure 3F).56-58 As we have just outlined, leukocytes have evolved several molecular mechanisms that allow an enormous spectrum of GPCR‐controlled navigation strategies. Many of the emerging concepts for leukocyte navigation in complex chemoattractant fields have been developed in controlled in vitro systems, some of which by studying only one select leukocyte subset. Rigorous testing and proving the relevance of these concepts for leukocyte migration in the complexity of mammalian organs and tissues is technically very challenging. However, systematic studies in mice have started to delineate GPCR‐controlled navigation strategies and their influence on physiological trafficking patterns through lymphoid organs and inflamed peripheral tissues. In the following, we will discuss our current knowledge on the role of GPCR signals for the migration patterns of three leukocyte subsets (neutrophils, T cells, and DCs). Each of these immune cell types has evolved their own trafficking paths to fit their effector functions. We will highlight recent studies that conceptually advanced our understanding of GPCR‐controlled leukocyte navigation in mammalian tissues. 2 NEUTROPHILS Neutrophils are pivotal effector cells of our innate immune response and the first line of defense for eliminating bacteria and fungi in tissues.59 Recent studies also implicate regulatory functions of neutrophils in tissue homeostasis and cancer.60 In mammals, they are produced in the bone marrow and are continuously released into the bloodstream to patrol the intravascular compartment under homeostasis. Neutrophils circulate in the blood for ca. 12 hours under the influence of circadian rhythms, before they are mostly cleared into the bone marrow, but also other extramedullary tissues.61 In contrast to the general believe that naive peripheral tissues are free of neutrophils, recent work suggests that low numbers of neutrophils are present in many tissues under steady state.62 Upon inflammation and infection, the release of neutrophils from bone marrow increases their concentration in the blood by several folds.63 Moreover, large numbers of circulating neutrophils then infiltrate inflamed tissues where they sense activated vascular endothelium. In agreement with their critical role as first responders, neutrophils have evolved robust strategies to infiltrate inflamed tissues extremely fast and orient themselves to detect potential sites of microbial invasion with great precision. In many organs, the exit from the vascular compartment involves a sequence of exquisitely coordinated processes: (a) intravascular arrest, migration, and crawling along the activated endothelial cells, and (b) breaching multiple layers of the vascular wall (venular endothelium, venular basement membrane, and pericytes).64 Once neutrophils have traversed this barrier, they are primed for the rapid detection of damaged tissue or microbes in the extravascular space. At sites of cell death in the interstitial space, neutrophils undergo sequential phases of highly coordinated chemotaxis and cell cluster formation, now commonly referred to as neutrophil swarming.65, 66 As true sentinel cells, they sense almost any form of tissue insult, rapidly localize it in any inflamed organ and efficiently move toward the core of the inflammation or infection site. Neutrophils have been shown to express on their cell surface more than 30 GPCR types, which can all bind chemotactic molecules. Accordingly, neutrophils are responsive to a broad array of chemically diverse chemoattractants, including chemokines, lipids, complement factors, formylated peptides, nucleotides, alarmins, and proteolytic (ECM) fragments.67-69 Many of these chemotactic factors are usually present at sites of in vivo inflammation. How the crosstalk between these GPCR signals guides neutrophil recruitment in inflamed tissues has been of huge interest since decades. Early in vitro work with human polymorphonuclear neutrophils (PMN) characterized the strength of chemically distinct chemoattractant classes to desensitize calcium‐ion mobilization, as a read‐out of GPCR downstream signaling, to one another (Figures 2D and 3D).53, 70 Peptide chemoattractants, including N‐formylmethionyl‐leucyl‐phenylalanine (fMLF), the complement factor C5a, and the chemokine CXCL8 (IL‐8), cross‐desensitized one another to different extents (fMLF > C5a > IL‐8). Moreover, peptide chemoattractants, in particular fMLF, cross‐desensitized lipid chemoattractants, including platelet‐activating factor (PAF) and LTB4. In contrast, lipid and purinergic agonists failed to desensitize to the peptide chemoattractants.70 These results were extended to neutrophil chemotaxis in the presence of multiple chemoattractants, showing a hierarchy of resistance to competing signals, with fMLF and C5a inhibiting migration to other chemoattractants (Figure 3D).71, 72 Elegant under‐agarose chemotaxis experiments proposed the concept that neutrophils can navigate through complex chemoattractant fields by migrating in a step‐by‐step manner in response to one agonist source after another. Thus, their ultimate positions are determined combinatorially by the array of GPCRs they express and by the sequence of chemoattractant gradients they encounter (Figure 3E).45 In this concept, pathogen‐derived “end‐target” chemoattractants (N‐formyl peptides, C5a) will dominate over host tissue‐derived “intermediate‐target” chemotactic factors (CXCL8, LTB4) in their ability to guide neutrophil migration (Figure 3A, C, E).45 This dominance of end‐target attractants has been suggested to depend on the activation of the p38 MAPK pathway, which can override the phosphoinositide 3‐kinase (PI3K) pathway activated by intermediate‐target attractants.42, 54 Importantly, neutrophil navigation is also possible in a spatially sequential array of intermediate‐target chemoattractants (Figure 3E).45, 47, 51, 73 Another aspect of crosstalk between end‐target and intermediate‐target chemoattractants has not been considered in these early studies, but is also functionally relevant for neutrophil navigation. Already small amounts of fMLF or C5a can stimulate neutrophils to secrete intermediate‐target attractants, in particular LTB4.50, 74 This paracrine signaling mechanism becomes very relevant in chemotaxing neutrophil populations. Neutrophil‐released LTB4 functions as a signal relay molecule and amplifies in a feed‐forward manner the chemotactic response to subsaturating concentrations of end‐target attractants (Figure 3B).50, 75 Recent developments in microfabricated devices and microfluidic‐based chemotaxis systems now allow a more detailed analysis of neutrophil migration responses in complex chemoattractant milieus, providing deeper insight into neutrophil navigation in opposing gradients (Figure 3C),47, 73, 76-78 synergistic gradients (Figure 3B),49 and geometrically complex environments.49, 77 Moreover, even the analysis of GPCR signaling underlying neutrophil swarming dynamics is now possible due to novel micropatterning techniques.75 As human PMNs, mouse neutrophils express a range of functional GPCRs to sense N‐formyl peptides (through FPR1 and FPR2), C5a (mainly through C5ar1), LTB4 (mainly through LTB4R1/BLT1), and several chemokines including CXCL1, CXCL2, CXCL5 (through CXCR2), CXCL12 (through CXCR4), and several CC‐chemokines (through CCR1).67 Some of these GPCRs are present in secretory vesicles that can rapidly fuse with the plasma membrane upon neutrophil activation, allowing the cells to increase their responsiveness to chemotactic cues (Figure 2A).38 Other reported mechanisms to control GPCR functionality in neutrophils include competitive antagonism or partial agonism (Figure 2C),79 receptor multimerization (Figure 2B), differential agonist responses (Figure 2E),80 and agonist scavenging through simultaneous expression of ACKRs (Figure 3F).56 Homologous desensitization is a well‐known phenomenon for almost all neutrophil‐expressed GPCRs (Figure 2D). While GPCR transducers (G‐protein subunit types, GRKs, and arrestins) and RGS proteins have been linked to the function of some GPCRs in primary mouse neutrophils,32, 81-88 we are still missing a detailed understanding of their exact contributions to neutrophil navigation in complex chemoattractant fields. Clearly, neutrophils are equipped with many GPCR types and mechanisms to dynamically control GPCR activity, allowing them to use various navigation strategies in the presence of multiple chemotactic cues. Moreover, neutrophils have been shown to perform fugetaxis against the direction of a gradient of high concentration chemokine, a process that is mechanistically not well understood (Figure 1C).89 However, there are still many open questions of how these mechanisms contribute to the neutrophil migration patterns observed in situ. Intravital microscopy studies of GPCR‐deficient neutrophils provided novel insight into how GPCR signals choreograph the physiological trafficking paths of neutrophils. In the following, we will point out that GPCR signals are important throughout many steps in the lifecycle of a neutrophil. In particular, we will highlight studies that advanced our concepts of GPCR‐controlled neutrophil navigation in mouse tissues. 2.1 Bone marrow release: inhibiting chemokine‐mediated retention The majority of mature neutrophils in the body reside in the bone marrow, with an estimated ratio of 300:1 between neutrophils in the bone marrow and blood. Neutrophil release into the blood is controlled by the interplay of retention and mobilization signals, provided by two antagonistically operating chemokine systems (Figure 3A,C). During homeostasis, the chemokine CXCL12 is produced in the bone marrow and essential for the retention of mature neutrophils that express the corresponding chemokine receptor CXCR4.90 CXCL12 is expressed at highest levels by “CXCL12‐abundant reticular cells” (CAR cells), but also by other stromal cells of the bone marrow, including osteoblasts.63, 91 The expression levels of CXCL12 in stromal cells follow a circadian rhythm, controlled by the sympathetic nervous system.92 When neutrophils were freshly isolated from the bone marrow, they expressed only low levels of cell surface CXCR4, but contained high intracellular levels of CXCR4.90, 93 After placing these cells in medium lacking CXCL12, they upregulated cell surface CXCR4 within hours.90, 93 These findings suggested receptor desensitization and internalization in response to constitutively high local concentrations of CXCL12 in the bone marrow microenvironment (Figure 2D). Moreover, these data underlined that neutrophils receive constant CXCL12 signals, which position them in the bone marrow, probably by activating integrin‐mediated adhesion to stromal cells.94 While high concentrations of CXCL12 retain neutrophils in the bone marrow via CXCR4 signaling, low concentrations of CXCR2 ligands expressed on endothelial cells and produced by megakaryocytes facilitate neutrophil egress via CXCR2.63 Thus, CXCR2 signals recruit neutrophils out of the retentive CXCL12 field and direct them to the endothelial sinus walls for entry into the blood circulation (Figure 3A). This intricately balanced interplay between retention and mobilization signals can be shifted in both directions. G‐CSF treatment or acute inflammation, which increases blood serum levels of G‐CSF and CXCR2 ligands, shifts the balance toward neutrophil mobilization from the bone marrow.95-98 Several modes of action have been proposed for G‐CSF, either leading to the lowering of CXCL12 levels in the bone marrow or triggering the release of CXCR2 ligands from endothelial cells or megakaryocytes (summarized in63). The same shift toward neutrophil egress can be achieved by conditional gene depletions of CXCR4 or CXCL12 in mice.99, 100 The administration of the CXCR4 antagonist AMD3100 also results in a threefold increase in the number of circulating neutrophils and a corresponding decrease in bone marrow numbers.93, 101 Originally, this drug effect was interpreted as direct antagonism of CXCR4 expressed by neutrophils, thereby disrupting the CXCL12‐CXCR4 axis in the bone marrow (Figure 2C).90 Surprisingly, subsequent studies found that AMD3100 also acted on CXCR4 expressed by bone marrow endothelial cells, and inhibited the translocation of CXCL12 across bone marrow endothelial cells, suggesting a rapid rise of CXCL12 in the blood and reversal of the CXCL12 gradient (Figure 3B).102, 103 These data were questioned by intravital imaging studies that could not observe clear neutrophil egress from the bone marrow upon AMD3100 treatment. Instead, the increase in circulating neutrophils through AMD3100 was explained by the release of marginated neutrophils from the lung microvasculature.104 Moreover, AMD3100 had a blocking effect on the trafficking of aged blood neutrophils, which upregulate CXCR4 expression over time, enabling them to home back to the bone marrow for clearance.104 The exact mode of action of AMD3100 is still controversially discussed.90 Insight into the physiological consequences of shifting the chemokine balance in the opposite direction, toward retention in the bone marrow, comes from an extremely rare congenital human immunodeficiency disease. Warts, hypogammaglobulinemia, infections, and myelokathexis (WHIM) syndrome is an autosomal dominant human disorder caused by gain‐of‐function mutations in the C‐tail of CXCR4.105, 106 WHIM syndrome involves myelokathexis, a condition characterized by the retention of mature neutrophils in the bone marrow and peripheral neutropenia. WHIM‐associated truncations or mutations in the carboxy‐terminal tail of CXCR4 result in the loss of multiple serine residues, which are target sites for GRK‐mediated receptor phosphorylation. Truncated forms of CXCR4 are impaired in agonist‐induced homologous desensitization and internalization, and cause enhanced signaling upon CXCL12 stimulation.106 This leads to stronger anchorage of mature neutrophils in the bone marrow, counteracting CXCR2‐mediated chemotaxis toward vessels and neutrophil egress. However, administration of G‐CSF or ADM3100 to WHIM patients can overcome this imbalance and cause an increase in circulating neutrophil numbers.106 2.2 Getting to the site of inflammation: navigation along multiple chemokine fields Blood‐circulating neutrophils detect sites of tissue injury and infection by interacting with the luminal surface of activated venular endothelium. In response to tissue‐released inflammatory cytokines, endothelial cells upregulate P‐selectin, E‐selectin, and integrin ligands, such as ICAM‐1 and VCAM‐1, to promote interactions between neutrophils and the vessel wall. This induces neutrophils to undergo a multistep adhesion cascade along the endothelial lining before emigrating from the vessel into the inflamed tissue interstitium.107 Chemokines are present on the luminal surface of endothelial cells and cause arrest of rolling neutrophils by triggering the activation of integrins. Many studies showed an involvement of CXCR2 ligands, in particular CXCL1, but also CXCL2 and CXCL5, in this process.108, 109 These chemokines are primarily expressed and released by endothelial cells,110, 111 but also tissue‐resident cells, including pericytes, perivascular macrophages, and mast cells, can act as important chemokine sources.112-115 Due to their high‐affinity binding sites for heparin sulfate (HS) GAG most chemokines become immobilized by HS GAG on the luminal side of the endothelium,116 and defects in HS GAG synthesis have been shown to decrease immobilization of chemokines and neutrophil transmigration into inflamed tissues.117, 118 While the involvement of chemokines for neutrophil transmigration is widely established, there has been ongoing debate whether and how leukocytes sense stable chemokine gradients across the vessel wall on their way into the tissue (Figure 1B). There are ample references to support the common believe that chemotactic gradients between the apical and basolateral part of postcapillary venules promote diapedesis, ie, the outward passage of neutrophils through the vessel wall. Immunofluorescence stainings of HS GAG moieties revealed steep gradient of HS GAG scaffolds between the luminal and abluminal aspect of skin postcapillary venules.119 Under inflammatory conditions, HS GAG distribution became even more polarized by massive depositions of HS and laminin in the basolateral basement membrane of skin vessels.119 Given the GAG‐binding properties of many chemokines, it was proposed that these sharp HS GAG scaffold gradients might favor chemokine gradients across the venular wall. In agreement with this idea, excessive deposition of the GAG‐binding chemokine CXCL1 on the apical part of inflamed blood vessels resulted in decreased neutrophil diapedesis.120 Other supporting data come from experiments in which an extravascular source of CXCR2 ligands was placed in form of a gel on one side of a blood vessel.121 Under these conditions, neutrophil crawling was directed to emigrate preferentially from that side of the vessel. HS GAG on the surface of the endothelium was required to present CXCL2, forming a chemotactic gradient that was followed by neutrophils. This sequestration of endothelial chemokine occurred exclusively in venules, but not other blood vessel types.121 HS GAG, together with the atypical receptor ACKR1, was also discussed to establish gradients by transcytosis of chemokines.118, 122, 123 Transcytosis involves the internalization and transport of tissue‐derived inflammatory chemokines from the basal surface onto the luminal surface of endothelial cells. ACKR1 is specifically expressed by postcapillary venules and was shown to support promigratory chemokine patterns across the vessel wall for optimal leukocyte migration across the vessel wall.123, 124 Unlike other ACKR, ACKR1 does not act as classical scavenger receptor, and was initially discussed to promote the transcytosis of tissue‐derived inflammatory chemokines from perivascular pools to the apical surface of venules.122, 123 Novel insight into the functional role of ACKR1 and the directional cues that guide neutrophils during diapedesis come from recent elegant experiments of Nourshargh and colleagues.125 By studying TNF‐induced neutrophil emigration in the inflamed mouse cremaster muscle, it was shown that neutrophils encounter the two CXCR2 ligands CXCL1 and CXCL2 in a sequential manner during their passage through the vessel wall. In a three‐step process, neutrophils first sense CXCL1 produced by TNF‐stimulated endothelial cells on the luminal surface of venules, promoting crawling along the endothelium. Next, neutrophils encounter CXCL2 that is retained at endothelial cell junctions by ACKR1. Notably, CXCL2 is secreted by neutrophils themselves and then presented by ACKR1, which is enriched in endothelial junctions. This self‐guided migration response of neutrophils was critical for breaching of endothelial junctions and unidirectional transendothelial migration. Lastly, CXCL1 expressed by pericytes governed neutrophil crawling in the subendothelial space.125 While earlier work indicated relatively restricted expression of CXCL1 to vascular and tissue‐resident cells, and CXCL2 with activated neutrophils,126 these novel findings highlight unexpected non‐redundant roles for CXCL1 and CXCL2 to guide neutrophils through venular walls as governed by their distinct cellular sources.125 Having identified this critical spatiotemporal sequence of chemokine‐guided steps across the vessel wall (Figure 3E), it will be of future interest to understand how other tissue‐derived attractant signals may act on top of this and support further guidance into the underlying inflamed interstitium. As an example, neutrophils entering an inflamed peritoneum were suggested to encounter two sequential gradients in a step‐by‐step manner (Figure 3E).114 In a lipopolysaccharide‐induced peritonitis model, initial recruitment of neutrophils out of the blood vessel into the peritoneal tissue was regulated by rapid secretion of CXCL1 and CXCL2 from perivascular mast cells. Further guidance of extravasated neutrophils through the interstitium and into the peritoneal cavity depended on CXCL1 and CXCL2 produced by tissue‐resident interstitial macrophages.114 2.3 Getting to the site of inflammation: interpreting temporal cascades of chemically distinct chemoattractants Most of our discussions until now focused on the role of chemokines for neutrophil guidance in the tissue, but also putative non‐GAG‐binding, soluble chemoattractants including C5a, LTB4, and formylated peptides are sensed by neutrophils and relevant for special types of inflammatory reactions. A mouse model of autoimmune rheumatoid arthritis, the K/BxN serum transfer model, has provided unprecedented insight into how four different chemoattractant receptors, C5aR1, LTB4R1, CCR1, and CXCR2, collaborate to recruit neutrophils into the inflamed tissue.127 In this model, the inflammatory response is driven by immunoglobulin G autoantibodies to the ubiquitous glycolytic enzyme glucose‐6‐phosphate isomerase (GPI) leading to the formation of immune complexes that drive immune cell activation. Neutrophil infiltration into the joint is critical for the clinical signs of arthritis in this model. Several consecutive studies have elucidated a temporal cascade in which neutrophils encounter complement, lipid, and chemokine signals to enter the joint and contribute to disease progression (Figure 3E).74, 128-131 While it has long been known that immune complexes lead to the activation of the alternative complement system in arthritis,132, 133 it has only recently been found that C5aR signaling in circulating neutrophils is the key initiator for a cascade of events that ignite inflammation.131 The deposition of immune complexes in the joint space induces the generation of C5a, which unexpectedly binds to HS GAG on the synovial endothelium. Neutrophils sense C5a on the joint endothelium, induce integrin‐dependent arrest, and facilitate crawling along the vasculature. Subsequently, C5a signals stimulate neutrophils to secrete LTB4, which induces the entry of the first neutrophils into the joint and initiates the onset of disease.74, 128, 129, 131 After disease onset, recruited neutrophils in the joint secrete IL‐1β, which in turn stimulates fibroblast‐like synoviocytes to produce CCR1 ligands at first and later CXCR2 ligands.130 CCR1 ligands are required to recruit the next wave of neutrophils into the joint, and this recruitment of neutrophils is broadly amplified in the last step of the cascade when neutrophils themselves release CXCL2 to potently attract large numbers of neutrophils into the joint.67, 130 Thus, neutrophil entry into the inflamed joint is a prime example where neutrophil recruitment is choreographed by non‐redundant roles of distinct chemoattractants that collaborate sequentially in a temporal cascade (Figure 3E). Moreover, this process highlights the rapid production of complement and LTB4 to initiate a recruitment cascade at the local site of inflammation. By contrast, chemokines act later in this cascade to amplify and prolong the inflammatory response.67 2.4 At the site of inflammation: synergism through lipid‐mediated amplification Another example where complement‐induced LTB4 secretion rapidly shapes neutrophil migration patterns has recently been described.134 In a simplified fungemia mouse model, the fungi Candida albicans sequestered in the pulmonary vaculature and actively recruited neutrophils. Neutrophils showed swarm‐like migration patterns in response to sequestered yeast, similar to previously described swarming responses in other tissues.66 A small number of lung neutrophils responded within minutes and performed intravascular chemotaxis, before larger numbers of neutrophils were recruited and formed cell clusters. The immediate capture of live C. albicans by neutrophils depended on complement‐mediated chemotaxis.134 In addition, complement activation stimulated neutrophils to secrete LTB4, which amplified the directional recruitment and clustering of neutrophils in a synergistic manner (Figure 3B). This was in agreement with a previous study highlighting the importance of LTB4‐mediated signal amplification during neutrophil swarming in interstitial tissue spaces at sites of sterile skin injury and in bacteria‐infected lymph nodes.135 Neutrophil swarming is an essential process of the neutrophil tissue response and has been observed in diverse tissues under conditions of sterile inflammation and infection with various pathogens, including bacteria, fungi, and parasites.65, 66 The swarming response comprises sequential phases of highly coordinated chemotaxis followed by neutrophil accumulation and the formation of substantial neutrophil clusters, which has led to the multistep attraction model of neutrophil swarming.66 While the underlying signals and molecular players for some of these steps are still unclear, we know that neutrophil‐derived LTB4 acted on top of early released, yet unknown, chemoattractants and mediates intercellular signal relay among neutrophils to amplify interstitial recruitment in a feed‐forward manner (Figure 3B). This model was in accordance with earlier in vitro studies identifying LTB4 acted as a signal relay molecule (see above).50 As a consequence, LTB4‐LTB4R1 signaling enhances the radius of neutrophil recruitment from distant tissue sites and maintains the amplified chemotactic response of the neutrophil population. Together with signaling through other GPCRs, such as CXCR2 and FPR2, LTB4R1 signaling also optimizes neutrophil clustering.135 Importantly, LTB4 and CXCR2 signals are also relevant for the swarming response of human neutrophils.75 The formation of focalized dense neutrophil aggregates is considered beneficial for isolating sites of tissue wounding from viable surrounding tissue, containing microbial invaders and concentrating the microbicidal activity of a whole neutrophil population in one swarm center.66 However, neutrophil aggregation can also lead to tissue damage and removal of other cells.135, 136 In the context of the lung microvasculature, intravascular neutrophil swarms that formed in response to C. albicans infection lead to vessel occlusion and pulmonary hemorrhages, which were reverted in the absence of LTB4R1.134 How neutrophil‐derived LTB4 shapes and maintains a promigratory chemotactic field in vivo remains unclear. LTB4 is considered to have a short half‐life and can be rapidly turned into LTB4 metabolites, which act as natural inhibitors of LTB4‐mediated responses. However, it has also been demonstrated that neutrophils release LTB4 in form of exosomes, which may support more prolonged effects of LTB4 gradients.137 Interesting insights into this issue come from studies with diabetic mice receiving skin infections with methicillin‐resistant Staphylococcus aureus (MRSA), which leads to large neutrophil clusters in form of abscesses.138 Diabetic mice produce higher levels of LTB4 in the infected skin compared to non‐diabetic mice. Surprisingly, neutrophils in the skin of these mice failed to assemble into an organized abscess, as excessive LTB4 levels likely disrupted chemoattractant gradients in the skin and impaired directed neutrophil chemotaxis.138 These findings exemplify that the appearance or absence of neutrophil swarms depends on the specific mixture of chemoattractants in a specific inflammatory environment. Although not yet studied in detail, we know that several factors, including tissue damage size, presence of pathogens, induction of cell death, and neutrophil numbers, are important for shaping the exact neutrophil‐swarm phenotype in an inflamed tissue. All these factors can potentially initiate the release of chemotactic fields that may strengthen or attenuate LTB4‐mediated signal amplification in situ.66 2.5 Getting to the site of inflammation: following hierarchies True prioritization of chemoattractant fields has been observed for neutrophils in a model of thermal‐induced liver injury.139 In this model, large numbers of neutrophils are recruited over hours from the liver sinusoids to a focal site of sterile hepatic necrosis. The necrotic area releases several molecules that shape the adjacent hepatic environment and ultimately form two distinct chemotactic fields at different distances from the necrotic focus. During their search for damaged tissue neutrophils sequentially navigate through these two chemotactic fields. First, neutrophils follow an intravascular gradient of GAG‐bound immobilized CXCL2 that supports integrin‐dependent crawling toward the necrotic focus. This CXCL2 haptotactic gradient abruptly halts, approximately 150 μm proximal to the border of the necrotic tissue. Second, neutrophils at this border continue to migrate on top of platelets along non‐perfused vasculature, before entering the necrotic area.139, 140 When neutrophils were lacking the formyl‐peptide receptor FPR1, they migrated along the healthy sinusoids to the highest concentration at the end of the haptotactic CXCL12 gradient and never entered into the platelet‐rich and following necrotic zone. Given the important role of FPR1 signaling during this process, mitochondrial‐derived formyl peptides released from dying hepatocytes were suggested to attract neutrophils into the necrotic area. Of interest, FPR1 signaling has also been shown to regulate neutrophil recruitment into necrotic areas of hepatic ischemia‐reperfusion injury.141 In contrast to formyl peptides released from bacteria, endogenous formyl peptides are produced by mitochondria and become released upon cellular damage.142 Similar to bacterial formyl peptides, also mitochondrial formyl peptides can promote neutrophil chemotaxis in an FPR‐dependent manner.139, 142 Thus, neutrophil navigation in the liver injury model follows a spatial cascade of chemoattractants (Figure 3E) and appears to depend on the prioritization of an end‐target attractant (eg, fMLF) over an intermediate‐target attractant (eg, CXCL2) (Figure 3A). Recent elegant work by Kubes and colleagues revealed that neutrophils play a critical role in fully repairing the hepatic injury. In the course of this process, neutrophils at the border of the injury left the injury site and reentered healthy liver sinusoids.143 However, it remains to be shown if GPCR‐controlled mechanisms are involved in this form of reverse migration into the vasculature. 3 T CELLS T cells and B cells represent the cellular hallmark of the adaptive immune system. These lymphocytes are generally long‐lived cells and are driven by GPCR‐mediated guidance throughout their life cycle. Being released from the bone marrow as a common lymphoid progenitor, T‐cell precursor settle in the thymus where they tread a highly regulated developmental path, guided by GPCRs. Once T cells have been fully matured and selected, they exit the thymus and commence their recirculation pattern between secondary lymphoid organs (SLO). As the T‐cell receptor (TCR) repertoire needs to be highly diverse in order to raise the chance to efficiently detect foreign antigens against all kind of pathogens, the naive T‐cell precursor frequency for a specific antigenic determinant is very low (≈1/105‐1/106). Consequently, during a newly arising infection, antigen‐presenting DC need to interact with millions of T cells in order to activate the few rare naive T cells that optimally react to the foreign antigenic determinant. To facilitate this process T cells need to efficiently migrate between and navigate within SLOs to optimize such DC encounters. Once T cells are activated and primed by a DC carrying and displaying the proper antigen, they differentiate and change their GPCR expression pattern in order to leave the SLO and enter infected tissues via the blood stream. Here, GPCRs pilot them toward infected cells where they execute their specific effector function in order to eliminate or at least control the microbial invasion. In vitro experiments to address how lymphocytes respond to chemokines were primarily based on transwell, under agarose assays or 3D ECM‐like gels, showing that chemokinesis, chemotaxis, and homologous and heterologous desensitization apply to GPCR‐mediated navigation of T cells.144-149 However, these approaches have limitations when trying to address how T cells respond to more complex chemokine fields involving multiple GPCRs. With the development of microfluidic devices150 and more recently, microfluidic mazes, T‐cell exploratory patterns and chemotaxis in response to chemokines could be analyzed in more detail, while providing the investigator with a higher level of control and precision.151 Overall, however, there are only a few studies that have addressed complex GPCR interactions in T cells in vitro. In the following sections we will focus on what we have learned from in vivo experiments regarding the trafficking of T cells. 3.1 Searching for the antigen: exploration and compartmentalization In vivo, chemo‐ and haptokinesis are particularly prevalent in lymphoid organs and underlie the continuous undirected or random‐walk migratory activity of lymphocytes (Figure 1A).9 Functionally, this migratory behavior is required to enable encounters and consecutive interactions between leukocytes. In other words it reflects the search strategy of lymphocytes to detect rare interaction partners in a large and densely populated three‐dimensional space. Given the low precursor frequency of ly
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