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Pathology, Diagnosis and Therapies
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Scooped by Gilbert C FAURE
May 11, 2019 4:47 AM
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Spotlight on anifrolumab and its potential for the treatment of modera | DDDT

Spotlight on anifrolumab and its potential for the treatment of modera | DDDT | AUTOIMMUNITY | Scoop.it
Spotlight on anifrolumab and its potential for the treatment of moderate-to-severe systemic lupus erythematosus: evidence to date Renaud Felten,1–3 Florence Scher,4 Flora Sagez,1,2 François Chasset,5 Laurent Arnaud1,2,61Rheumatology Department, University Hospital of Strasbourg, Université de Strasbourg, Strasbourg, F-67000, France; 2National Reference Centre for Rare Systemic and Autoimmune Diseases East South-West (RESO), Strasbourg, France; 3Immunology Laboratory, “Immunopathologie et Chimie Thérapeutique”, Institut de Biologie Moléculaire et Cellulaire (IBMC), CNRS UPR3572, Strasbourg, F-67000, France; 4Pharmacy-Sterilisation Department, University Hospital of Strasbourg, University of Strasbourg, Strasbourg, France; 5Faculty of Medicine at Sorbonne University, AP-HP, Dermatology and Allergology Department, Tenon Hospital, Sorbonne University, Paris, F-75020, France; 6Immuno-Rheumatology Laboratory, “Laboratoire d‘ImmunoRhumatologie Moléculaire”, INSERM UMR_S1109, Strasbourg, F-67000, FranceAbstract: Previous reports have described the appearance of systemic lupus erythematosus (SLE) cases following interferon-α (IFN-α) therapy, IFN-regulated gene expression is significantly increased in SLE, and an association between SLE and gene variants belonging to IFN downstream pathways has been shown. Based on this, targeting of IFN and of their signaling pathways has appeared to be interesting developments within the field of SLE therapy. Different specific type I IFN antagonists have been studied in clinical trials and some of those have already reached Phase III. A potential approach would be to target IFN receptors rather than IFN themselves. Anifrolumab (previously MEDI-546) is a fully human monoclonal antibody (Ab) that binds to subunit 1 of the type I IFN receptor (IFNAR1), blocking the action of different type I IFNs (IFN-α, IFN-β and IFN-ω). This drug has been assessed in 11 clinical studies: 9 in SLE, 1 in systemic sclerosis and 1 in rheumatoid arthritis. In SLE, clinical development reached Phase I for 1 study and Phases II and III for 5 and 3 trials, respectively. The Phase IIb, randomized control trial (RCT), double-blind, placebo-controlled study of adults with moderate-to-severe SLE (MUSE trial) showed positive results on the composite primary endpoint SRI-4. Greater efficacy was seen in patients with high baseline IFN gene signature compared with those with low baseline IFN gene signature. Anifrolumab also demonstrated promising results on cutaneous and arthritic manifestations, especially among patients with a high IFN gene signature. The pivotal Treatment of Uncontrolled Lupus via the Interferon IFN Pathway (TULIP 1 and 2 studies are now completed. In August 2018, the promoter announced that the TULIP 1 Phase III trial did not reach its primary endpoint. The release of the completed but not yet published Phase II studies and of the TULIP pivotal trials results will further inform us on the actual therapeutic potential of anifrolumab.Keywords: systemic lupus erythematosus, interferon type I, interferon-alpha, anifrolumab, receptorsinterferon
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May 5, 2019 5:25 AM
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Cytotoxic Function and Cytokine Production of Natural Killer Cells and Natural Killer T-Like Cells in Systemic Lupus Erythematosis Regulation with ... - PubMed - NCBI

Cytotoxic Function and Cytokine Production of Natural Killer Cells and Natural Killer T-Like Cells in Systemic Lupus Erythematosis Regulation with ... - PubMed - NCBI | AUTOIMMUNITY | Scoop.it
Mediators Inflamm. 2019 Mar 31;2019:4236562. doi: 10.1155/2019/4236562. eCollection 2019.
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Scooped by Gilbert C FAURE
April 29, 2019 2:32 PM
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The clinical significance of antinuclear antibodies and specific autoantibodies in juvenile and adult systemic lupus erythematosus patients. - PubMed - NCBI

The clinical significance of antinuclear antibodies and specific autoantibodies in juvenile and adult systemic lupus erythematosus patients. - PubMed - NCBI | AUTOIMMUNITY | Scoop.it
Asian Pac J Allergy Immunol. 2019 Apr 23. doi: 10.12932/AP-211218-0465.[Epub ahead of print]...
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April 24, 2019 5:21 AM
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Analysis of serum B cell‐activating factor from the tumor necrosis factor family (BAFF) and its soluble receptors in systemic lupus erythematosus - Vincent - 2019 - Clinical & Translational Imm...

Abstract Objectives To determine the presence and clinical associations of the soluble receptors of B cell‐activating factor from the tumor necrosis factor family (BAFF) in serum of patients with systemic lupus erythematosus (SLE). Methods Serum BAFF and soluble BAFF receptor (sBAFF‐R) were quantified using ELISA, and soluble B cell maturation antigen (sBCMA) and transmembrane activator and cyclophilin ligand interactor (sTACI) by Luminex, in 87 SLE patients and 17 healthy controls (HC). Disease activity and organ damage were assessed using SLE Disease Activity Index 2000 (SLEDAI‐2K) and Systemic Lupus International Collaborating Clinics (SLICC) SLE Damage Index (SDI), respectively. Results BAFF and all receptors were detectable in all serum samples. Serum sBCMA and sTACI, but not sBAFF‐R, were significantly higher in SLE than in HC. Serum BAFF was also increased in SLE, but this association was attenuated after adjusting for age and ethnicity. Increased serum BAFF was associated with flare and organ damage. Increased serum sBCMA was associated with the presence of anti‐dsDNA, but not with overall or organ‐specific disease activity, flare or organ damage. Neither sTACI nor sBAFF‐R was associated with any SLE clinical parameters in multivariable analysis. While serum BAFF correlated negatively with sBAFF‐R in HC, no statistically significant correlations were observed between BAFF and its receptors in SLE patients. Conclusion Serum BAFF was associated with flare and organ damage independent of the presence of its soluble receptors. While sBCMA was associated with anti‐dsDNA positivity, other soluble BAFF receptors were not associated with SLE clinical indicators. Introduction Systemic lupus erythematosus (SLE) is an unpredictable and multifaceted chronic systemic autoimmune disease.1 One of the most prominent breakthroughs in SLE has been the discovery of the pathogenic role of B cell‐activating factor from the tumor necrosis factor (TNF) family (BAFF) [also known as B lymphocyte stimulator (BLyS)].2 BAFF has a crucial role in B cell maturation, differentiation and survival, and is part of the BAFF/a proliferation‐inducing ligand (APRIL) system. BAFF and APRIL ligate two cognate receptors, transmembrane activator and cyclophilin ligand interactor (TACI) and B cell maturation antigen (BCMA), and BAFF also ligates BAFF receptor (BAFF‐R).2 These receptors transduce distinct signals; BCMA activation is important for long‐lived plasma cell survival, BAFF‐R activation for survival and maturation of immature B cells and TACI for B cell regulation, class‐switch recombination and T cell‐independent antibody responses.2 BAFF‐transgenic mice develop SLE‐like features,3 and high serum BAFF levels are a feature of some mouse models of SLE‐like disease.4 Compared to healthy controls (HC), patients suffering from SLE harbour significantly higher serum BAFF levels.2 Serum BAFF has also been reported to be associated with disease activity and autoantibody levels in some studies.2 The efficacy of a BAFF‐targeting therapy, belimumab,5, 6 gives weight to the fact that BAFF plays a critical pathogenic role in SLE. Nevertheless, this therapy is effective only in a subset of SLE patients,5, 6 suggesting a potential BAFF‐mediated subset of SLE, and a significant unmet need for tools to stratify patients in order to define who may benefit from such therapy. Published studies regarding the potential role of serum BAFF as a SLE biomarker are inconsistent,2 both at the overall and organ‐specific disease activity level. Amongst all potential causes for these discrepancies, the presence of soluble BAFF receptors in human SLE patients needs to be considered. Hoffmann et al. reported the existence of a soluble form of TACI (sTACI) as the ectodomain of transmembrane TACI, produced following cleavage of TACI by the metalloproteinase ADAM10 from the cell surface of activated B cells. When further cleaved by γ‐secretase, sTACI can oligomerise to act as a decoy receptor for both BAFF and APRIL.7 The same group also reported the presence of a soluble form of BCMA (sBCMA) in human sera, produced from cleavage of BCMA from plasma cells by γ‐secretase, which in vitro acts as a decoy receptor specific for APRIL.8 The same group showed that sBCMA can also be shed by plasmacytoid dendritic cells via a similar γ‐secretase‐dependent cleavage.9 One study has reported the existence of sBAFF‐R,10 a soluble form of the receptor released by human decidual stromal cells ex vivo, and an inhibitory role in the regulation of interleukin (IL)‐6 and TNF secretion by monocytes has been suggested.10 Some published studies have reported the presence of soluble forms of BAFF receptors in human serum. All three soluble BAFF receptors have been reported in rheumatoid arthritis,11 and sTACI and sBCMA have been described in multiple sclerosis, multiple myeloma and patients with chronic lymphocytic leukaemia.7, 8, 12-14 One group recently reported the presence of sBCMA and sTACI in human SLE7, 8; however, this was in a cohort of modest size (N < 50), and did not investigate clinical phenotypic associations, or association with flare or organ damage. To date, there are no publications on sBAFF‐R in SLE. Here, we aimed to determine the presence and clinical associations of serum soluble BAFF receptors in SLE. Results Participants’ baseline characteristics This study included 87 SLE patients, whose baseline characteristics are displayed in Table 1. Briefly, median [interquartile ranges (IQR)] age and disease duration were 44.3 [33.2, 56.4] and 7 [3.8, 14.8] years, respectively. The cohort was predominantly female (89%), 56% of patients were of Asian ethnicity, 36% of patients had active disease, and 62% had permanent organ damage. In all, 57% and 51% of patients were receiving glucocorticoids and immunosuppressants, respectively. Seventeen healthy individuals were enrolled in the HC group, with a median [IQR] age of 41 [28, 44] years, and comprising 88% of female and 29% of individuals of Asian ethnicity. The HC cohort was gender‐matched to the SLE cohort (Table 2). We observed a significant difference in age and a trend towards significant difference in ethnicity between SLE and HC cohorts (Table 2). Therefore, we adjusted for age and ethnicity in multivariable regression models assessing the associations of serum BAFF and soluble BAFF receptors expressions in SLE compared to HC. Characteristics SLE cohort (N = 87) Age (years), median [IQR] 44.3 [33.2, 56.4] Female, n (%) 77 (89%) Asian ethnicity, n (%) 49 (56%) Disease duration (years), median [IQR] 7 [3.8, 14.8] SLEDAI‐2K, median [IQR] 4 [2, 6] SLEDAI‐2K > 4, n (%) 31 (36%) Organ‐specific manifestationsa n (%) Fever 0 (0%) Neurological 1 (1%) Renal 19 (22%) Mucocutaneous 18 (21%) Musculoskeletal 7 (8%) Serosal 2 (2%) Vascular 0 (0%) Serological 63 (72%) Haematological 3 (3%) Flareb, n (%) 22 (25%) SLICC‐SDI, median [IQR] 1 [0, 2] SLICC‐SDI > 0, n (%) 54 (62%) Treatment n (%) Prednisone 50 (57%) Hydroxychloroquine 74 (85%) Immunosuppressantsc 44 (51%) Clinical laboratory data CRP (mg L−1), median [IQR] 1.5 [0.6, 3.5] ESR (mm h−1), median [IQR] 15 [8, 27] UPCR (g mmol−1), median [IQR] 0.02 [0.01, 0.05] Proteinuriad, n (%) 17 (20%) C3 (g L−1), mean (SD) 0.85 (0.26) C4 (g L−1), mean (SD) 0.17 (0.08) ANA +ve (> 1280), n (%) 67 (81%) Anti‐dsDNA +ve, n (%) 49 (56%) Anti‐Sm Ab +ve, n (%) 20 (24%) Data are expressed as mean (SD), median [IQR] or as number (percentage). Ab, antibody; ANA, antinuclear antibody; C3, complement component 3; C4, complement component 4; CRP, C‐reactive protein; dsDNA, double‐stranded deoxyribonucleic acid; ESR, erythrocyte sedimentation rate; IQR, interquartile range; SD, standard deviation; SLE, systemic lupus erythematosus; SLEDAI‐2K, SLE Disease Activity Index 2000; SLICC‐SDI, Systemic Lupus International Collaborating Clinics‐SLE Damage Index; Sm, Smith; UPCR, urine protein/creatinine ratio. a Individual organ domain disease activity was assessed by the SLEDAI‐2K score. b Encompasses mild, moderate and severe flares. c Immunosuppressants include methotrexate, azathioprine, mycophenolate mofetil, mycophenolate acid, leflunomide, cyclosporine A and/or cyclophosphamide. d Proteinuria defined if UPCR > 0.05 g mmol−1. HC (n = 17) SLE (n = 87) P‐value Demographics Age (years), median [IQR] 41 [28, 44] 44.3 [33.2, 56.4] 0.04 Female, n (%) 15 (88%) 77 (89%) 0.9 Asian, n (%) 5 (29%) 49 (56%) 0.06 Data are expressed as median [IQR] or as number (percentage). HC, healthy control; IQR, interquartile range; SLE, systemic lupus erythematosus. Serum BAFF and soluble BAFF receptors concentrations in SLE BAFF was detectable in all serum samples from SLE patients and HC. Univariable linear regression analysis showed an association of increased serum BAFF levels in SLE compared to HC of borderline significance (ratio of geometric mean (GM), 1.27; 95% CI 0.99, 1.63; P = 0.06). However, this association was weakened after adjusting for age and ethnicity (ratio of GM 1.25; 95% CI 0.96, 1.64; P = 0.09; Figure 1a; Supplementary table 1). sBCMA, sTACI and sBAFF‐R were also detectable in all SLE and HC serum samples. There was evidence of increased serum sBCMA and sTACI in the SLE group (sBCMA: ratio of GM 1.46; 95% CI 1.35, 1.58; P < 0.01; and sTACI: ratio of GM 1.47; 95% CI 1.11, 1.94; P < 0.01), confirmed after adjusting for age and ethnicity (sBCMA: ratio of GM 1.43; 95% CI 1.28, 1.59; P < 0.01; sTACI: ratio of GM 1.45; 95% CI 1.11, 1.91; P < 0.01; Figure 1b, c; Supplementary tables 2, 3). Serum BAFF was not significantly correlated with concentrations of any soluble BAFF receptors in SLE (Figure 2). We did not find any significant difference in serum sBAFF‐R levels between SLE and HC (Figure 1d). However, serum BAFF was significantly negatively correlated with serum sBAFF‐R, while not with sBCMA and sTACI, in HC subjects but not in SLE (Figure 2). Serum BAFF and SLE clinical parameters We next evaluated potential associations between serum BAFF with demographics and clinical parameters using linear regression. Univariable analysis revealed associations between increased serum BAFF and active disease, flare and organ damage. Serum BAFF levels were greater in SLE patients with active disease with borderline significance (ratio of GM 1.24; 95% CI 0.99, 1.55; P = 0.06; Figure 3a), flare of disease (ratio of GM 1.29; 95% CI 1.01, 1.65; P = 0.04; Figure 3b) or irreversible organ damage compared to those without (ratio of GM 1.33; 95% CI 1.07, 1.65; P = 0.01; Figure 3c, Table 3). The association between increased serum BAFF and organ damage was confirmed in multivariable analysis, after adjusting for disease duration (adjusted ratio of GM 1.29; 95% CI 1.03, 1.6; P = 0.02). However, the association between increased serum BAFF and active disease was attenuated after adjusting for the use of immunosuppressants (adjusted ratio of GM 1.18; 95% CI 0.93, 1.48; P = 0.17). With respect to laboratory markers, increased serum BAFF concentrations were significantly associated with high ESR, but not with other routine laboratory markers (Table 3). Serum BAFF was significantly lower in patients receiving hydroxychloroquine, while significantly higher in those receiving immunosuppressants (Table 3). No significant association was observed between serum BAFF concentrations and other clinical parameters (Table 3). SLE cohort (N = 87) BAFF sBAFF Receptors sBCMA sTACI sBAFF‐R RC (95% CI) P‐value RC (95% CI) P‐value RC (95% CI) P‐value RC (95% CI) P‐value Demographics Age 1.00 (0.99, 1.01) 0.49 1.00 (0.99, 1.01) 0.14 1.00 (0.99, 1.01) 0.97 0.98 (0.97, 1.00) 0.02 Disease duration 1.01 (1.00, 1.03) 0.05 1.01 (0.99, 1.01) 0.11 1.00 (0.98, 1.02) 0.78 0.98 (0.96, 0.99) <0.01 Ratio of GM (95% CI) P‐value Ratio of GM (95% CI) P‐value Ratio of GM (95% CI) P‐value Ratio of GM (95% CI) P‐value Demographics Male 1.11 (0.79, 1.57) 0.53 1.02 (0.86, 1.21) 0.86 1.29 (0.96, 1.72) 0.09 1.34 (0.7, 2.53) 0.38 Asian ethnicity 0.93 (0.75, 1.16) 0.52 0.95 (0.82, 1.09) 0.45 0.98 (0.75, 1.29) 0.91 1.42 (1.01, 2.02) 0.04 Clinical manifestations Disease activity (SLEDAI‐2K) Overall 1.24 (0.99, 1.55) 0.06 0.93 (0.82, 1.05) 0.26 0.83 (0.66, 1.05) 0.12 1.04 (0.74, 1.47) 0.82 Serological 1.16 (0.91, 1.48) 0.22 1.06 (0.94, 1.19) 0.36 0.89 (0.71, 1.11) 0.31 1.35 (1.02, 1.78) 0.04 Renal 1.19 (0.92, 1.55) 0.19 0.92 (0.77, 1.09) 0.33 1.16 (0.89, 1.52) 0.26 1.04 (0.72, 1.51) 0.82 Mucocutaneous 0.99 (0.75, 1.29) 0.93 0.99 (0.87, 1.13) 0.92 0.82 (0.62, 1.09) 0.17 1.11 (0.77, 1.59) 0.58 Mild/moderate flare 1.26 (0.95, 1.68) 0.11 0.98 (0.82, 1.16) 0.81 0.91 (0.72, 1.15) 0.44 1.05 (0.68, 1.62) 0.83 Severe flare 1.17 (0.82, 1.68) 0.37 1.12 (0.79, 1.59) 0.53 1.24 (0.85, 1.8) 0.27 0.83 (0.59, 1.17) 0.3 Flare any 1.29 (1.01, 1.65) 0.04 1.06 (0.88, 1.27) 0.56 1.08 (0.82, 1.41) 0.59 0.99 (0.67, 1.48) 0.98 Organ damage present (SDI > 0) 1.33 (1.07, 1.65) 0.01 0.98 (0.88, 1.09) 0.69 1.05 (0.8, 1.4) 0.71 1.04 (0.74, 1.47) 0.83 Treatment at baseline Prednisolone 0.98 (0.79, 1.22) 0.86 0.98 (0.87, 1.11) 0.78 0.82 (0.62, 1.08) 0.15 1.06 (0.8, 1.4) 0.68 Hydroxychloroquine 0.65 (0.49, 0.88) <0.01 0.99 (0.79, 1.26) 0.96 0.87 (0.49, 1.56) 0.65 1.41 (1.04, 1.91) 0.03 Immunosuppressantsa 1.23 (0.996, 1.53) 0.05 0.91 (0.81, 1.03) 0.13 0.85 (0.68, 1.07) 0.17 1.22 (0.9, 1.66) 0.2 Laboratory markers High CRP (> 3) 1.23 (0.96, 1.57) 0.096 0.99 (0.84, 1.17) 0.95 1.23 (0.9, 1.69) 0.18 0.9 (0.56, 1.47) 0.68 High ESR (≥ 25) 1.53 (1.23, 1.9) <0.01 1.05 (0.92, 1.19) 0.48 0.94 (0.75, 1.19) 0.62 1.29 (0.77, 2.15) 0.33 Proteinuria (UPCR > 0.05) 1.16 (0.88, 1.52) 0.3 0.95 (0.82, 1.09) 0.45 1.15 (0.82, 1.61) 0.41 0.93 (0.64, 1.36) 0.71 Low C3 (< 0.79) 1.21 (0.97, 1.51) 0.09 1.07 (0.93, 1.22) 0.34 1.04 (0.79, 1.37) 0.78 1.03 (0.73, 1.47) 0.85 Low C4 (< 0.16) 1.06 (0.85, 1.32) 0.6 1.03 (0.91, 1.16) 0.64 0.82 (0.63, 1.07) 0.14 1.08 (0.77, 1.51) 0.64 ANA +ve (≥ 1280) 1.3 (0.98, 1.71) 0.07 1.13 (0.99, 1.29) 0.08 0.9 (0.67, 1.22 0.51 0.93 (0.57, 1.52) 0.76 Anti‐dsDNA +ve 1.07 (0.86, 1.34) 0.52 1.12 (1.00, 1.26) 0.05 1.01 (0.82, 1.24) 0.92 1.08 (0.82, 1.44) 0.58 Anti‐Sm Ab +ve 0.86 (0.66, 1.12) 0.25 1.11 (0.96, 1.27) 0.17 1.04 (0.79, 1.36) 0.8 0.84 (0.6, 1.17) 0.31 Serum cytokine and soluble receptors BAFF – 1.00 (1.00, 1.00) 0.68 1.00 (1.00, 1.00) 0.79 1.00 (1.00, 1.00) 0.51 sBCMA 1.00 (1.00, 1.00) 0.87 – – 1.00 (1.00, 1.00) <0.01 1.00 (1.00, 1.00) 0.24 sTACI 1.00 (0.995, 1.01) 0.98 1.00 (1.00, 1.01) <0.01 – – 1.00 (0.99, 1.01) 0.94 sBAFF‐R 1.00 (1.00,1.00) 0.53 1.00 (1.00, 1.00) 0.8 1.00 (1.00, 1.00) 0.92 – – Ab, antibody; ANA, antinuclear antibody; BAFF, B cell‐activating factor from the tumor necrosis factor family; BAFF‐R, BAFF receptor; BCMA, B cell maturation antigen; C3, complement component 3; C4, complement component 4; CI, confidence interval; CRP, C‐reactive protein; dsDNA, double‐stranded deoxyribonucleic acid; ESR, erythrocyte sedimentation rate; GM, geometric mean; RC, regression coefficient; SLE, systemic lupus erythematosus; SLEDAI‐2K, SLE Disease Activity Index 2000; SLICC‐SDI, Systemic Lupus International Collaborating Clinics‐SLE Damage Index; Sm, Smith; TACI, transmembrane activator and cyclophilin ligand interactor; UPCR, urine protein/creatinine ratio. a Immunosuppressants include methotrexate, azathioprine, mycophenolate mofetil, mycophenolate acid, leflunomide, cyclosporine A and/or cyclophosphamide. We further characterised baseline serum BAFF in relation with longitudinally collected clinical parameters over a median length of follow‐up of 2 years following baseline assessment (Table 4). Univariable logistic regression analysis revealed an association between baseline serum BAFF and time‐adjusted mean SLEDAI‐2K (AMS), where patients who had high BAFF levels (>median) at baseline visit were more than twice likely to have AMS > 4 (OR, 2.67; 95% CI 1.1, 6.47; P = 0.03; Table 5); this association, however, attenuated after adjusting for the use of immunosuppressants (adjusted OR, 2.13, 95% CI 0.84, 5.42; P = 0.11). In addition, patients with high baseline BAFF levels were nearly four times more likely to have organ damage at the final visit when compared to patients with low serum BAFF levels (OR, 3.7; 95% CI 1.39, 9.81; P < 0.01; Table 5). We did not find an association between BAFF and flare over time (Table 5). Characteristics SLE cohort (N = 87) Length of follow‐up (years), median [IQR] 2 [1.8, 2.1] AMS, median [IQR] 3.7 [1.7, 5.6] AMS > 4, n (%) 38 (45%) Change in SLICC‐SDI > 0, n (%) 19 (22%) Flare overtimea, n (%) 59 (68%) Data are expressed as median [IQR] or as number (percentage). AMS, adjusted mean SLE Disease Activity Index 2000; IQR, interquartile range; SLE, systemic lupus erythematosus; SLICC‐SDI, Systemic Lupus International Collaborating Clinics‐SLE Damage Index; SLE, Systemic lupus erythematosus. a Encompasses mild, moderate and severe flares. AMS > 4 Flare overtimea Organ damage present at last visit Damage accrual OR (95% CI) P‐value OR (95% CI) P‐value OR (95% CI) P‐value OR (95% CI) P‐value Baseline serum BAFF Low (≤ median) 1.00 1.00 1.00 1.00 High (> median) 2.67 (1.1, 6.47) 0.03 1.83 (0.73, 4.57) 0.2 3.7 (1.39, 9.81) <0.01 2.06 (0.72, 5.88) 0.18 Baseline serum sBCMA Low (≤ median) 1.00 1.00 1.00 1.00 High (> median) 0.46 (0.19, 1.1) 0.08 0.44 (0.17, 1.11) 0.08 0.54 (0.22, 1.36) 0.19 0.64 (0.23, 1.81) 0.4 Baseline serum sTACI Low (≤ median) 1.00 1.00 1.00 1.00 High (> median) 0.68 (0.29, 1.61) 0.38 1.19 (0.48, 2.94) 0.7 0.84 (0.34, 2.07) 0.7 0.64 (0.23, 1.81) 0.4 Baseline serum sBAFF‐R Low (≤ median) 1.00 1.00 1.00 1.00 High (> median) 1.32 (0.56, 3.13) 0.53 1.83 (0.73, 4.57) 0.2 0.97 (0.39, 2.39) 0.94 0.68 (0.24, 1.92) 0.47 AMS, adjusted mean SLE Disease Activity Index 2000; BAFF, B cell‐activating factor from the tumor necrosis factor family; BAFF‐R, BAFF receptor; BCMA, B cell maturation antigen; CI, confidence interval; OR, odds ratio; SLE, systemic lupus erythematosus; TACI, transmembrane activator and cyclophilin ligand interactor a Encompasses mild, moderate and severe flares. Serum soluble BAFF receptors and SLE clinical parameters Serum sBCMA was significantly associated with the presence of anti‐dsDNA in univariable analysis (ratio of GM 1.12; 95% CI 1, 1.26; P = 0.05). Serum sBCMA was not associated with overall or organ‐specific disease activity, flare or organ damage (Table 3). Longitudinal analysis revealed no significant association between baseline serum sBCMA and clinical parameters over time (Table 5). Univariable analysis revealed that increased serum sBAFF‐R was associated with Asian ethnicity (ratio of GM 1.42; 95% CI, 1.01, 2.02; P = 0.04) and with serological SLE Disease Activity Index 2000 (SLEDAI‐2K) (ratio of GM 1.35; 95% CI 1.02, 1.78; P = 0.04). However, these associations did not remain significant after adjusting for age (ethnicity: adjusted ratio of GM 1.27; 95% CI 0.87, 1.84; P = 0.22; serological SLEDAI‐2K: adjusted ratio of GM 1.2; 95% CI 0.88, 1.62; P = 0.25). As opposed to BAFF, serum sBAFF‐R was significantly higher in patients receiving hydroxychloroquine (Table 3). No significant association was found between serum sBAFF‐R and any other SLE clinical parameters in cross‐sectional or in longitudinal analyses (Tables 3, 5). No significant association was found between serum sTACI and any demographic or clinical parameters in cross‐sectional or in longitudinal analyses (Tables 3, 5). Discussion While BAFF is a well‐established therapeutic target in SLE, better understanding of how its expression impacts on disease activity is needed. One possible avenue is the relationship between levels of BAFF and of the soluble forms of the three receptors for BAFF. This study aimed to evaluate the presence of soluble BAFF receptors in serum from a well‐defined SLE cohort and to characterise clinical associations. Here, we showed the presence of soluble forms of the three BAFF receptors in all serum samples from SLE patients. The presence of sBAFF‐R in human SLE sera has not previously been described. The present study confirmed the presence of both sTACI and sBCMA in sera from SLE patients, in a larger and better‐defined cohort than previously reported.7, 8 Both serum sTACI and sBCMA, but not sBAFF‐R, were significantly higher in SLE than in HC. Serum concentrations of BAFF were also increased in SLE compared to HC, but this association was attenuated after adjusting for age and ethnicity. Higher serum sTACI and sBCMA concentrations were previously reported in SLE.2, 7, 8 It is noteworthy that no significant association was found between serum BAFF and any of its soluble receptors in SLE in the present study. This is in contrast with the sole previously published study on sBCMA in SLE, which reported a positive correlation between serum BAFF and sBCMA.8 Whether the detected levels of BAFF and its soluble receptors in this study include complexed forms with their respective cognate soluble receptors/ligands is not known. Future research is required to identify complexed and free forms of these proteins. We report that increased serum BAFF concentrations were associated with organ damage and flare of disease, in line with some published studies.15-17 We also report an association between serum BAFF concentrations and the presence of organ damage at follow‐up visits, in line with a previous report.17 Unexpectedly, these cross‐sectional and longitudinal associations of serum BAFF with flare and organ damage were independent of the presence of its three soluble receptors. Laurent et al. recently reported that serum sBCMA was positively correlated with SLEDAI in a cohort of 39 SLE patients.8 They also showed that sBCMA acted as a decoy only for APRIL.8 However, we did not find any statistically significant association between sBCMA and disease activity. Moreover, we did not find any association between sBCMA and clinical phenotypes, flare or organ damage. Increased serum sBCMA was significantly associated with anti‐dsDNA levels, in line with the trend reported by Laurent et al.8 Similarly, in contrast to the positive correlation reported between serum sTACI and SLEDAI in untreated SLE,7 we did not find an association between sTACI and disease activity or any clinical parameters. Discrepancies between our data and these studies may arise from difference in study population with potential difference in phenotypic subsets studied and/or treatment received, as well as in analysis methods. This work constitutes the first study to show the presence of sBAFF‐R in sera from SLE. We observed a significant association between increased serum sBAFF‐R and active serological SLEDAI‐2K; however, this was attenuated after adjusting for age. Serum sBAFF‐R was not associated with any other SLE clinical parameters in cross‐sectional or longitudinal analyses. Interestingly, a negative correlation between serum BAFF and sBAFF‐R was detected in HC samples, but was not observed in SLE, potentially suggesting a loss of co‐regulation of these balancing forces in favor of unopposed BAFF action in SLE; this is consistent with the failure to observed increased sBAFF‐R in SLE despite other BAFF receptors being elevated. Further research in larger studies would help examine this hypothesis, as well as associations between soluble BAFF receptors and phenotypic SLE subsets under‐represented in the present study, such as neurological and musculoskeletal subsets. SLE is a multifactorial disease, where genetic factors are acknowledged to play an important role in disease pathogenesis.18 Consistent with this, SLE is reported of a higher prevalence and more severe in different ethnicities, including Asians and Indigenous Australians, than in Caucasians, even when studied at the same centre.2, 19 Serum BAFF levels, and the relationship of these with disease activity, have been reported to be different between African American and White American SLE patients.2 Here, no significant difference in serum BAFF was found between Asian and Caucasian patients, in line with our previously published work20; the same was true for serum sTACI and sBCMA. Asian SLE patients displayed significantly higher serum sBAFF‐R levels than Caucasians, but this association was not confirmed after adjusting for age. Future larger multiethnic studies evaluating whether ethnicity might influence serum sBAFF‐R levels in SLE patients would be of interest. This study has identifiable limitations. Firstly, recruitment was monocentric. However, the data draw on a very well‐characterised longitudinally followed cohort of SLE patients. Secondly, the HC cohort was of modest size and not age‐matched to the SLE cohort; multivariable regression analysis, however, enabled adjustment for this demographic variable. Finally, numbers of patients with specific active SLE organ manifestations were small in some subsets, such as neurological SLE, precluding meaningful statistical analysis. In conclusion, we report the presence of the three soluble BAFF receptors in serum from SLE patients. Serum BAFF, sBCMA and sTACI were significantly higher in SLE than in HC. In contrast, serum sBAFF‐R was not elevated in SLE, and the negative correlation between BAFF and sBAFF‐R in HC was not observed in SLE. Serum BAFF was associated with flare of disease and organ damage accrual, independent of the presence of its three soluble cognate receptors, which did not vary strongly with disease activity. These data provide insight into the role of the BAFF system in SLE, and show that all BAFF receptors are detectable in this disease, but leave open the need for larger studies of the functional relations between BAFF and its receptors in SLE. Methods Patients and clinical assessments Adult SLE patients fulfilling the 1997 American College of Rheumatology (ACR) revised criteria for SLE classification21 were enrolled from the Lupus Clinic at Monash Medical Centre (Clayton, Victoria, Australia) between December 2009 and July 2014. Patients were not receiving anti‐BAFF, anti‐CD20 or anti‐CD22 drugs within 12 months of sample collection. Demographic and clinical data were recorded prospectively, including date of birth, gender, ethnicity, disease duration, disease activity and treatment. Overall SLE disease activity was assessed using the SLEDAI‐2K,22 and SLE was defined as active (SLEDAI‐2K > 4) or inactive (SLEDAI‐2K ≤ 4), as previously described.23 The 24 items of the SLEDAI‐2K were individually scored, followed by grouping them into nine organ‐specific domains (e.g. neurological, mucocutaneous, renal) in order to assess organ‐specific disease activity. For example, renal disease activity was measured by adding the four renal components of the SLEDAI‐2K: proteinuria, haematuria, urinary casts and pyuria (renal SLEDAI‐2K)24; active renal disease was defined as a renal SLEDAI‐2K score > 0. The AMS was calculated as the SLEDAI‐2K area under the curve divided by the time observed, as previously described.25 Active disease over time was defined as AMS > 4, as previously described.26 Flare was defined according to SLE Flare Index.27 Damage was recorded using the Systemic Lupus International Collaborating Clinics (SLICC) SLE Damage Index (SDI), as previously described.20, 25 Clinical data were collected for a median of two years following the serum sampling. Healthy individuals were enrolled as a HC group. All individuals gave written informed consent. This study was approved by the Monash Health Human Research Ethics Committee. The study was carried out in accordance with the National Statement of Ethical Conduct in Human Research (2007). Collection of human biological samples Blood samples were collected by venepuncture at the time of routine clinical assessment. Serum was isolated using serum‐separating blood collection tube, and stored at −80°C until further use, as previously described.28 Serum cytokine and soluble receptors quantification Commercial ELISA kits were used to quantify serum BAFF (Quantikine, Cat #SBLYS0B, R&D Systems, Minneapolis, MN, USA) and serum sBAFF‐R (Cat #qy‐e05097, Qayee‐Bio, Shanghai, China), following the manufacturer's protocols. A commercial Luminex screening assay kit (polystyrene beads; Cat #LXSAH, R&D Systems) was used to quantify serum sBCMA and sTACI concentrations, using a Bio‐Rad Bio‐Plex 200 system, following the manufacturer's protocol. Serum sBAFF‐R concentrations were not quantified in 6 samples over the 17 HC serum samples tested for BAFF and its soluble receptors. Statistical analysis All statistical analyses were performed using Stata version 14.2 (StataCorp, College Station, Texas, USA). Normally distributed data were presented as mean (standard deviation) (SD). Non‐normally distributed data were summarised as median and IQR. Spearman's correlation test was used to examine the correlations between BAFF and its soluble receptors (sBAFF‐R, sBMCA and sTACI). Categorical variables were analysed by Pearson's chi‐squared test or Fisher's exact test when appropriate. The Mann–Whitney U‐test was used to assess differences in non‐normal continuous variables between the SLE and HC groups. Cytokine and soluble receptors concentrations were positively skewed in distribution and were therefore log10‐transformed before being used as outcomes in linear regression analyses. Bootstrap methods were incorporated to derive robust standard errors when data did not resemble perfect normal distribution even after log10 transformation. Potential confounders were tested for inclusion in multivariable regression models, including demographic and treatment data. All three serum soluble BAFF receptors were tested as potential confounders for association between serum BAFF and clinical parameters, and vice versa. In longitudinal analysis, serum concentrations were categorised into binary variables, using their medians as a cut‐off (≤ median = low, > median = high), to be used as exposures in a logistic regression model. Non‐intermediary variables associated with both primary exposure and outcome variables were included in the multivariable analyses as potential confounders. A P‐value of < 0.1 in univariable analysis was used as threshold to select potential confounders for multivariable regression models. A P‐value of < 0.05 was considered statistically significant. Acknowledgments The authors warmly thank the patients and healthy subjects for their participation in this study. We also thank the clinical staff of the Lupus Clinic at the Monash Medical Centre, particularly Ms Sue Morton and Mr Andrew Toh. The authors thank the 360biolabs for assistance with the multiplex assays, in particular Ms Devy Santoso. The authors thank the French Society of Rheumatology for its support. FM is recipient of fellowships from the NHMRC of Australia. EFM was supported by the Kim Jolly Lupus Research Trust, and the Monash lupus database has received support from Arthritis and Osteoporosis Victoria, and unrestricted educational grants from GlaxoSmithKline, UCB, AstraZeneca and Eli Lilly Australia. There is no financial support or other benefits from commercial sources for the work reported in the manuscript. Conflict of interest EM has been a consultant to GSK and Eli Lilly. The other authors have no conflict of interest to declare. This study had no external funding source. Author contributions Each individual named as an author has made substantial contributions to the conception and design of the study, or acquisition of data, or analysis and interpretation of data. FBV performed the ELISA and multiplex assays. Both FBV and RK‐R analysed the data. FBV drafted the manuscript, and all authors revised it. All authors read and approved the final version of the manuscript to be submitted. Data availability Reasonable requests to view the data set used in this manuscript can be made in writing to Dr Fabien Vincent (fabien.vincent@monash.edu). Supporting Information References
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April 20, 2019 11:55 AM
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Skin discovery may help explain why women get autoimmune diseases far more often than men

Skin discovery may help explain why women get autoimmune diseases far more often than men | AUTOIMMUNITY | Scoop.it
Skin cells may hold the key to explaining why women are more prone to developing autoimmune diseases, such as lupus than men. Researchers found women have more VGLL3 in their skin cells than men. VGLL3 pushes the immune system into overdrive, resulting in the 'self-attacking' autoimmune response, the mouse study revealed. Findings strongly implicate VGLL3 as a pivotal catalyst in sex-based autoimmunity.
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April 18, 2019 2:57 AM
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The role of FOXP3+ regulatory T cells in human autoimmune and inflammatory diseases - Mohr - - Clinical & Experimental Immunology - Wiley Online Library

Summary CD4+ regulatory T cells (Treg) expressing the forkhead box protein 3 (FOXP3) transcription factor (Tregs) are instrumental for the prevention of autoimmune diseases. There is increasing evidence that the human T regulatory population is highly heterogeneous in phenotype and function. Numerous studies conducted in human autoimmune diseases have shown that Treg cells are impaired either in their suppressive function, in number, or both. However, the contribution of the FOXP3+ Treg subpopulations to the development of autoimmunity has not been delineated in detail. Rare genetic disorders that involve deficits in Treg function can be studied to develop a global idea of the impact of partial or complete deficiency in a specific molecular mechanism involved in Treg function. In patients with reduced Treg numbers (but no functional deficiency), the expansion of autologous Treg cells could be a suitable therapeutic approach: either infusion of in‐vitro autologous expanded cells, infusion of interleukin (IL)‐2/anti‐IL‐2 complex, or both. Treg biology‐based therapies may not be suitable in patients with deficits of Treg function, unless their deficit can be corrected in vivo/in vitro. Finally, it is critical to consider the appropriate stage of autoimmune diseases at which administration of Treg cellular therapy can be most effective. We discuss conflicting data regarding whether Treg cells are more effectual at preventing the initiation of autoimmunity, ameliorating disease progression or curing autoimmunity itself. Introduction CD4+ T regulatory cells (Treg) expressing the forkhead box protein 3 (FOXP3) transcription factor (Treg cells) are capable of suppressing immune responses, especially their initiation, by preventing the activation and proliferation of T and B cells 1. The importance of Treg cells has been demonstrated in animal models whereby their depletion is associated with loss of self‐tolerance and development of severe autoimmunity [e.g. immunodysregulation, polyendocrinopathy enteropathy X‐linked (IPEX) syndrome] 2-5. Further data in murine models have also demonstrated their ability to prevent progression of and even cure established autoimmune/inflammatory disease 6, 7. Overall, these cells are also considered to play a role in allergy prevention 8, gestational tolerance 9, the promotion of graft tolerance post‐transplantation 10 and the prevention of tumour immune responses 11. Human Treg cells were initially characterized as CD4+ T cells co‐expressing the interleukin (IL)‐2 receptor alpha chain 12-18. This was based on murine data demonstrating that depletion of CD4+CD25+ T cells led to the development of severe autoimmunity 2. Since then, Treg cells have been more precisely described as CD4+ T cells expressing the FOXP3 transcription factor in mice 3-5 and in humans 19. However, while the CD25+FOXP3+ phenotype defines Treg cells in mice, both CD25 and FOXP3 can also be induced upon activation in naive CD4+ T cells (of mice and humans) 20. Intriguingly, CD25 and FOXP3 can also be induced in conventional T cells, although this does not equate to them adopting ‘regulatory’ function 21, 22. All this indicates that the mere combination of CD25 and FOXP3 expression is insufficient to define human Treg cells phenotypically in health and diseases 23. In recent years, we have progressed to further categorize human CD4+FOXP3+ T cells into three distinct subpopulations based upon their phenotypical and functional differences. These subpopulations are (a) Fraction I: CD45RA+FOXP3lo naive Treg cells, considered equivalent to natural Treg cells arising from the thymus (tTreg cells) and demonstrating immunosuppressive properties in vitro; (b) Fraction II: CD45RA–FOXP3hi activated effector Treg cells, also immunosuppressive in vitro; and (c) Fraction III: CD45RA–FOXP3lo cytokine‐secreting but not immunosuppressive cells 23. We were also able to classify these populations similarly using CD25 (instead of FOXP3) and CD45RO (instead of CD45RA). Since then, further elegant work has demonstrated that the Fraction III population could be further subdivided on the basis of CD127 to identify two subpopulations. The proteomic analyses performed identified these subpopulations to closely resemble memory conventional T cells or effector Treg cells, respectively 24. Importantly, these aforementioned subpopulations can be distinctly identified in healthy and diseased states. For example, CD45RA+FOXP3lo Treg cells are the main Treg population identified in cord blood 23, whereas effector Treg cells are highly prevalent in tumours or in peripheral blood of patients with sarcoidosis 25, 26 or mycosis fungoides 27. Interestingly, a small proportion of CD45RA–FOXP3lo cells have been identified in the peripheral blood of patients with active systemic lupus erythematosus 27 or in some tumours 28. The impact of these cell subpopulations on their respective pathologies is not yet known. Numerous studies conducted in human autoimmune diseases have shown that Treg cells were impaired either in their suppressive function, in number, or both. A further mechanism involves resistance of conventional T cells to Treg‐mediated suppression via the presence of certain cytokines [tumour necrosis factor (TNF) and IL‐6] in the microenvironment and over‐activated phosphatidylinositol 3‐kinase/protein kinase B (PI3K/Akt) signalling 29. Of note, these findings have been demonstrated in a range of autoimmune diseases 29-31. The conclusions of those studies have been drawn following different phenotypical definitions of human Treg cells, mainly based on the assumption the either that FOXP3‐expressing and/or CD25high CD4+T cells constitute a single homogeneous population of Tregs 19. Hence, the contribution of the heterogeneous FOXP3+ Treg subpopulations to the development of autoimmunity has not been delineated in detail. In this review, we discuss several unresolved questions 32, 33 and emerging issues regarding the role of Treg cells in human autoimmune and inflammatory diseases. Heterogeneity of human FOXP3‐expressing CD4+ T cell subsets There is increasing evidence that the human T regulatory population is highly heterogeneous in phenotype and function 34. While FOXP3‐expressing cells can be roughly separated into three subsets (naive Treg cells, effector Treg cells and FOXP3lo‐activated T cells) 23, there are novel data indicating that these subpopulations can be subdivided phenotypically even further (Fig. 1). CD45RA+ naive Treg cells can be separated into the CD31+ recent thymic emigrant (RTE) and the CD31– naive Treg cell population 35 (Fig. 1). Recent data obtained via cytometry by time of flight (CyTOF) has demonstrated that naive Treg cells can be subdivided based on their expression of CD49b, CD62L and certain chemokine receptors. This has led to their subcategorization as CD49b+, CD49b+CXCR3+CCR4+CCR6+ and CXCR3+RORC2+CD62L+ subsets 36. It is currently unknown how CD31+ RTE Treg cells differentiate into each of these subsets; the prevalence of each subset in human health and disease and how each of those subsets differentiates into other FOXP33+ T cells have also to be determined. Interestingly, CCR4 can also delineate six different subsets among the Fraction III FOXP3lo non‐Treg cell population when combined with CD127 and CD49d. (Fig. 1). Among these subsets, the CD127+CD49d+CCR4– population contains most of the cytokine‐producing cells (IL‐2, IL‐17 and IFN‐γ), while the CD127–CD49d–CCR4+ contains the lowest number of cytokine‐producing cells. This latter subpopulation is, therefore, functionally and phenotypically most similar to the effector Treg subpopulation, as most effector Treg cells are CD127–CD49d–CCR4+ 24. The origin of Fraction III FOXP3lo cells has not yet been completely elucidated: these cells can be derived from naive Treg cells that fail to up‐regulate high levels of FOXP3 upon activation, for instance, because of weak signal transducer and activator of transcription (STAT)‐5 signalling; they may also be derived from some FOXP3hi effector Treg cells through reduced expression of FOXP3, and they can also be derived from conventional CD4+ T cells that transiently up‐regulate FOXP3 upon activation. Of note, all of these phenotypical changes have been observed in vitro, generally in the presence of low‐dose IL‐2 37. Effector Treg cells constitute a functionally homogeneous suppressive subset that is highly proliferative in vivo but poorly proliferative in vitro, and prone to apoptosis in the absence of IL‐2 1, 19. However, from a phenotypical perspective, these cells can be subcategorized based on their co‐expression of effector T cell transcription factors such as T‐bet [T helper type 1 (Th1), GATA binding protein 3 (GATA‐3) (Th2) and retinoid‐related orphan receptor γt (RORC)] (Th17) 32. This is supported by murine data indicating that Th1‐, Th2‐ and Th17‐like Treg cells suppress their related effector Th cell counterparts, respectively 38-40. These Treg subsets also express their effector Th cell counterparts’ chemokine receptors. Hence, Th1‐like Treg cells are CXCR3+, Th2‐like Treg cells are CCR6–CCR4+ and Th17‐like Treg cells are CCR6+CCR4+ 41. A further Treg subset comprise T follicular regulatory (Tfr) cells, which are found in germinal centres and can directly influence B cells. 42 These cells interfere with the interaction between T follicular helper (Tfh) cells and B cells to alter subsequent B cell differentiation towards antibody‐producing plasma cells or a memory phenotype. This interaction requires further study, particularly to improve our understanding of antibody‐mediated autoimmune disease [e.g. thyroiditis, type 1 diabetes (T1D)]. Additionally, recent studies have demonstrated phenotypical heterogeneity between Treg cells in the peripheral circulation and those present in the healthy/diseased tissue 43. For instance, IL‐1 receptor type II (IL‐1R2), a decoy receptor for IL‐1, is highly expressed on breast and colonic Treg cells but not on their peripheral circulation counterparts 44, 45. Similarly, CD15s (sialyl Lewis X) is present on peripherally circulating effector Treg cells but is absent on their pulmonary Treg counterparts 46. Overall, it is clear that historical studies in human autoimmune and/or inflammatory diseases have been conducted on the basis that circulating FOXP3+ T cells were a homogeneous population 30. On the basis of the data discussed above and access to novel technologies, we anticipate the future determination of the distinct contributions of FOXP3+ Treg subsets to human health and disease (Fig. 1). The significance of FOXP3+ Treg cells abnormalities in autoimmune diseases: from pernicious anaemia to IPEX In their seminal publication demonstrating that murine Treg cells displayed the CD4+CD25+ phenotype, Sakaguchi et al. showed that the canonical autoimmune abnormality observed in sick mice depleted of Treg cells was the occurrence of autoimmune gastritis with circulating anti‐parietal autoantibodies 2, a condition that is reminiscent of pernicious anaemia in humans 47. However, the role of Treg cells in pernicious anaemia in humans has not yet been delineated. This knowledge gap can also be extrapolated to other autoimmune diseases whereby the role of Treg cells in their development has been studied using animal or human culture systems that are not necessarily reflective of true human pathology 33. On one hand, upon review of published literature into human autoimmunity, one may be tempted to conclude that all autoimmune diseases could be characterized by either a deficit in Treg number and/or function or resistance of conventional T cells to Treg‐mediated suppression 29-31, 48, 49. On the other hand, the only known condition with clear evidence for total depletion of Treg cells is IPEX 3-5. This condition is provoked by different genetic defects in the FOXP3 gene and is characterized by the occurrence of enteropathy, eczema, T1D, thyroiditis, cytopenia, hepatitis, nephritis and gastritis 50-52. Indeed, the scurfy mouse model is widely utilized for the study of Treg cells, as equivalent defects in the FOXP3 gene lead to a pathologically similar autoimmune disease. Scurfy mice die within a few weeks after birth, while untreated newborns with IPEX die rapidly, both of severe inflammation, allergy and autoimmunity 3-5. Hence, it is clear that a complete defect in Treg cells leads to the development of this lethal systemic autoimmune and inflammatory disease. Due to the rapid progression of IPEX in murine and human newborns (fortunately, a rare condition), the detailed study of Treg cell deficiency in adults with autoimmune disease has remained a challenge. Rudensky et al. and Sparwasser et al. attempted to address this by developing mice with Treg cells bearing the diphtheria toxin receptor 53. Thus, the injection of diphtheria toxin would provoke the complete depletion of Treg cells within days, and thereby lead to a rapidly lethal systemic autoimmune disease that is similar to that observed in IPEX 53, 54. Overall, it is clear from the experimental observations discussed above that a complete deficiency of Treg cells at any stage of life rapidly leads to a fatal systemic disease. However, it is also clear from the clinical literature that human autoimmune diseases tend not to evolve towards an IPEX‐like condition. Indeed, we would reconcile these findings by hypothesizing that Treg number deficiency and dysfunction in human autoimmune diseases is incomplete at any stage of life and is probably mild or minimal. For example, pernicious anaemia may be associated with some organ‐specific endocrine autoimmune diseases such as Graves’ disease, but rarely to other systemic autoimmune diseases 55. Importantly, neither of these conditions evolve towards an IPEX‐like condition. Although not yet proven, if there is indeed a Treg deficit in pernicious anaemia it is likely to be mild or minimal. FOXP3+ Treg cell function deficiencies in human autoimmune diseases: lessons from genetic diseases The lack of validated experimental assays reflective of in‐vivo human Treg biology remains a major limitation in the field. To what extent in‐vitro Treg suppressive activity correlates with in‐vivo Treg function has not yet been established in humans 48. This limitation is important to overcome, as Treg cells have numerous mechanisms of action which require different experimental design and reagents to reliably elicit 56. It is indeed plausible that observed in‐vitro Treg functional deficiency in human autoimmune diseases may be explained by the partial deficiency of one or several mechanisms of suppression. One must also not discount the potential for effector T cells to be resistant to Treg‐mediated suppression mechanisms 29. While the specific roles of these mechanisms can be studied in mice (via different conditional knock‐out models), their corresponding contributions in humans have been mainly elicited using in‐vitro models instead 57. For this reason, patients with rare genetic disorders that involve deficits in Treg function can be studied to develop a global idea of the impact of partial or complete deficiency in a specific molecular mechanism involved in Treg function. One of the most well‐established mechanisms of action of Treg cells is through their cytotoxic T lymphocyte‐associated protein 4 (CTLA‐4) receptor. Indeed, constitutive expression of CTLA‐4 by Treg cells is instrumental for their in‐vivo suppressive capacity 58. Interestingly, CTLA‐4 haploinsufficiency has been described (albeit rarely) in certain families 59, 60. It is therefore noteworthy that patients with heterozygous non‐sense mutations of CTLA‐4 genes develop a systemic autoimmune disease manifesting as diarrhoea, granulomatous interstitial lung disease, autoimmune cytopaenia, thyroiditis, arthritis and skin disease—all of which are reminiscent of IPEX (but with less severity). Of note, none of these patients studied developed autoimmunity in early infancy, but a significant proportion had their first autoimmune abnormality diagnosed in adulthood. From a cellular perspective, although this mutation could have impacted on the CTLA4‐induction properties and function of all activated T cells, the impact on Treg cells specifically is important. This is because normal Treg cells express disproportionally higher surface and intracellular CTLA4 61. Interestingly, in patients with CTLA‐4 haploinsuffiency, they had higher numbers of Treg cells but their individual expression of CTLA‐4 was reduced, especially after activation 59, 60. Hence, CTLA‐4 haploinsufficiency could be considered as a partial CTLA‐4‐related Treg functional deficiency. Additionally, the unintended manifestations of blocking CTLA‐4 have recently been demonstrated in humans with cancer who are receiving anti‐CTLA‐4 checkpoint blockade therapy 62. These therapies work by boosting effector T cell activity and inhibiting Treg cells; however, pharmacovigilance data suggest that some patients develop enteropathy and colitis similar to that of inflammatory bowel disease. It is important to understand why these patients specifically have effector T cells targeting and infiltrating the gut, as the anti‐CTLA‐4 antibody itself is systemically administered. There is also another rare genetic disorder, which leads instead to a complete CTLA‐4‐related functional deficiency. This involves a deficiency in lipopolysaccharide‐responsive and beige‐like anchor protein (LRBA), which is an intracellular protein involved in the membrane expression of CTLA‐4 63. This condition is clinically characterized by a systemic autoimmune syndrome that resembles CTLA‐4 haploinsufficiency as well as IPEX (as some patients develop T1D). However, LRBA deficiency onsets in early infancy and, indeed, in a few patients shortly after birth 64. Similarly, mild reduction in CTLA‐4 expression has also been observed in Treg cells isolated from patients with rheumatoid arthritis (RA). While the CTLA‐4 gene is highly demethylated in normal Treg cells (thus indicating stable CTLA‐4 expression) 65, the CTLA‐4 promoter was instead methylated in Treg cells from RA patients 66. All the above findings are also important from an age‐related perspective; in comparison to LRBA deficiency, which onsets in early infancy, the onset of RA is usually in adults (older than 45–50 years) 67. Hence, by comparing patients with RA, CTLA‐4 haploinsufficiency, LRBA insufficiency and IPEX we can study the relationship between the intensity of CTLA‐4‐related functional deficiency on Treg cells, the effect on Treg biology and the extent of any clinical presentation (including its severity and time of onset) (Fig. 2). Finally, although Treg functional deficiencies have been described in numerous other autoimmune diseases, the detailed molecular mechanism(s) responsible for these deficiencies is/are currently unknown 68. For example, impaired Treg suppression has been described in multiple sclerosis (MS) 69. It is indeed noteworthy that a key mechanism of suppression by Treg cells is related to their high expression of CD25, as Treg cells act as a sink for IL‐2 2, 70, 71. Interestingly, a polymorphism in CD25 has been associated with a high risk for developing MS through a genome‐wide association study (GWAS) 72. Therefore, it is plausible that a CD25‐related mechanism of suppression may be altered in the Treg cells of MS patients. These Treg cells may also be unstable, as loss of CD25 on Treg cells is known to alter FOXP3 expression, Treg cell function and precipitate Th17 effector cell differentiation 73. In parallel with RA patients who have a mild deficiency in CTLA‐4, the extent of the defect in Treg suppression is probably mild or moderate. This is further supported by clinical observations that both RA and MS never evolve toward an IPEX‐like syndrome and rarely occur in early infancy. Targeting FOXP3+ Treg cells for the control of autoimmune responses As deficiencies in Treg number/function or resistance of T conventional cells from Treg‐mediated suppression are observed in most human autoimmune diseases, it seems logical to propose stable and functionally superior Treg‐based immunotherapies as a new therapeutic strategy in order to reinstate immune homeostasis. The two Treg‐based therapeutic strategies currently being clinically evaluated in autoimmunity are in‐vivo Treg expansion and infusion of in‐vitro expanded Treg cells 19, 74, 75. From the perspective of in‐vivo expansion, low‐dose IL‐2 has been evaluated in Phases I and II trials as a therapeutic targeting human Treg cells in order to expand them in vivo within the context of autoimmunity (e.g. T1D, alopecia areata and systemic lupus) or inflammatory conditions (hepatitis C‐related cryoglobulinaemic vasculitis) 76. However, although injection of IL‐2 expands the circulating Treg cell population, it also expands effector cells such as natural killer (NK) cells or eosinophils—thus indicating the lack of Treg specificity 77, 78. This has been overcome through the development of an IL‐2/anti‐IL‐2 complex that can specifically promote the binding of IL‐2 to the high‐affinity receptor of IL‐2 that is expressed by activated Treg cells and promote Treg cell expansion in vivo without modifying other effector cells 79-81. A second approach is the autologous expansion of Treg cells in vitro in order to reinfuse a large number of Treg cells into patients. Due to the recognized potential for reduced FOXP3 expression or reduced immunosuppressive capacity upon in‐vitro expansion, it is important to culture the right cell subpopulation in conditions that favour maintenance of Treg phenotype and function 82. This will help to optimize any expansion protocols and more reliably predict the phenotype of the end product 83. The addition of rapamycin to the culture conditions is important to eliminate contaminating conventional effector cells. Finally, we also consider it important to utilize molecules capable of modifying Treg epigenetics (e.g. DNA methyltransferase inhibitors or vitamin C) 37, 84, 85. These molecules work to maintain FOXP3 expression as well as various other Treg‐specific demethylation patterns, which consequently lead to more stable and functional Treg cells 37, 65, 85. Strategies aiming at increasing the number of autologous Treg cells are suitable for diseases with reduced but fully functional Treg cells. However, it is currently unknown in diseases with deficiencies in Treg function whether the deficiency is present within the entire Treg population (i.e. all Treg cells are impaired) or specific to a distinct subset (indicating that some Treg cells would be functionally impaired while others would be fully functional). In the first case, all expanded Treg cells would be functionally impaired with no beneficial therapeutic effect. In the second case the expansion, either in vitro or in vivo, of the global pool of Treg cells would lead to the expansion of deficient Treg cells and of fully functional Treg cells. It could, therefore, be speculated that the number of expanded fully functional Treg cells would be sufficient to overcome and compensate the functional deficiency of the expanded deficient subset. However, it is important not to overlook the possibility that expanded dysfunctional Treg cells could convert into pathogenic cells when in a proinflammatory environment and also exacerbate disease 86. There are data demonstrating that FOXP3+ human Treg cells can start secreting IL‐17 when exposed to cytokines such as IL‐1β, ‐2, ‐6, ‐15, ‐21 and ‐23 87, 88. These IL‐17‐secreting Treg cells can subsequently lose their anti‐inflammatory function despite continuous FOXP3 expression 88. A third approach is to utilize peripherally induced Treg cells (pTreg cells or iTreg cells if in vitro), which differentiate from naive CD4+ T cells in the presence of transforming growth factor (TGF)‐β and IL‐2 89. One advantage of these cells is the potential to generate antigen‐specific subsets corresponding to the antigens key to the immunopathogenesis of different autoimmune diseases. However, the partially demethylated nature of FOXP3 gives rise to the instability of FOXP3 expression and subsequent loss of suppressive function 89. The in‐vivo stability of human iTreg cells within a proinflammatory microenvironment needs to be optimized if they are to be considered as a safe and non‐pathogenic clinical product. In diseases with functional Treg deficiencies, infusion of autologous Treg cells would be feasible if the impaired molecular mechanism of suppression is identified and corrected by the use of small molecules in vitro or via genetic modifications. An alternative strategy could be the infusion of allogeneic expanded Treg cells sourced from cord blood or other healthy donors 90. Another strategy is to give those patients therapeutics that can compensate for the impaired Treg mechanism; e.g. in patients with CTLA‐4 deficiency, the use of CTLA‐4‐Ig has proved effective in preventing autoimmune events 63. As discussed above, Treg‐based strategies are already being clinically evaluated in some human autoimmune diseases with reported deficiencies in Treg cell numbers 78, 91 (and even in Treg functions) 92, with the assumption that increasing their number would ameliorate or even cure the diseases. The first in‐human trial evaluating Treg cells in autoimmunity was conducted in the setting of T1D 92. Fourteen patients received expanded autologous polyclonal Treg cells (CD25+CD127lo) in a dose‐escalation study (from 0·5 to 26 × 108 cells). The reliability of the expansion process was demonstrated by the purity of the final product, 76–96·9% FOXP3+. Although two patients had serious adverse events of severe hypoglycaemia and ketoacidosis, no directly Treg‐related adverse events were reported. This study was not powered for disease‐specific outcomes, as it was a Phase 1 study—hence, results of future Phase 2 studies are awaited. Further novel work using Treg cells is also ongoing in the contexts of graft‐versus‐host disease and solid organ transplantation 93-96. Treg cells are capable of inhibiting the initiation of immune responses, although the evidence regarding their ability to control active autoimmune/inflammatory disease is more controversial 2, 6, 7, 74. There are in‐vitro data demonstrating that Treg cells cannot inhibit the proliferation of preactivated effector T cells 97, and when transferred into mice after pathogenic cells the Treg cells are incapable of preventing the onset of autoimmunity 2 (Fig. 3). Indeed, this resistance of effector T cells to Treg‐mediated suppression is another key mechanism in autoimmunity. The effector T cells are supported by a signalling pleiotrophic microenvironment consisting of TNF, IL‐6, IL‐1β as well as over‐activated intracellular signalling via the PI3K/Akt pathways 29. Additionally, in another murine model of severe colitis, the progression of this disease was ameliorated and reversed when the mice underwent adoptive transfer of Treg cells 7. This effect was inhibited when mice were administered antibodies to IL‐10, CTLA‐4 or TGF‐β. Together, these data suggest that it is not only Treg cells but also the presence of particular cytokines in the microenvironment that can modulate disease progression. Hence, there was little surprise that only modest benefits are observed in trials evaluating Treg‐based therapies for ongoing autoimmune or inflammatory diseases 78, 98. However, while they are inefficient at controlling activated pathogenic cells, the expanded Treg cells could theoretically prevent the activation of resting pathogenic cells 74, 75. Therefore, some modest beneficial effect can be expected, as Treg cells would inhibit the activation of dormant pathogenic cells. This would indeed be a viable therapeutic approach, as clinical observations have identified the role of steroids and/or immunosuppressants in controlling active autoimmune diseases as they target activated effector cells first. Secondly, when the disease is considered in remission, another line of immunosuppressants and/or of immunomodulatory drugs are given to patients in order to prevent relapses or disease flare‐up 75. As Treg cells are professionally involved in the prevention of the initiation of pathogenic autoimmune responses, we believe that Treg cell‐based treatments should only be considered as a maintenance therapy for the prevention of flares or relapses after the elimination of pathogenic cells. Such strategies would, therefore, be suitable for remitting and relapsing diseases such as MS, RA or anti‐neutrophil cytoplasmic antibodies (ANCA)‐associated vasculitis only during the remission period to prevent relapses. These trials have also not addressed concerning whether or not it is necessary for infused Treg cells in humans to migrate to the diseased tissue in order to prevent further flares/relapses. This is important in the context of autoimmunity, as although patients have a focal site of inflammation (e.g. joints in RA, gut in inflammatory bowel disease), they also have pathology elsewhere (e.g. extra‐articular/intestinal manifestations) 99, 100. Thus, in order to optimize the Treg therapeutic effect and dose, it may be necessary to culture Treg cells that pre‐emptively express tissue‐specific homing markers (if not, induce this phenotype genetically or pharmacologically). This is also important to minimize any off‐target effects such as the risk of malignancy from interference with anti‐tumour immunity. Interestingly, the Treg‐based therapeutic strategies available in humans aim at expanding polyclonal Treg cells, without considering their antigen specificity 74, 75. Studies in mice indicate that antigen‐specific Treg cells are more efficient that polyclonal Treg cells in preventing autoimmune diseases. However, if the activation of Treg cells is dependent on the target antigen of their T cell receptors (TCRs), the suppressive function itself is not only antigen‐specific. Once activated, Treg cells can suppress effector T cells with the same or any other antigen specificity (via bystander suppression) 48. However, as Treg cells expanded in vitro for cell therapy are highly activated, it may not be necessary to take into account antigen‐specificity of Treg cells to obtain beneficial results in the settings of human autoimmune diseases. Conclusions From the data discussed so far, it is clear that abnormalities in the quantity or function of Treg cells are observed in most, if not all, human autoimmune and/or inflammatory diseases. Although numerous Treg subsets have been defined, their individual contributions to human autoimmune and/or inflammatory diseases are largely unknown. The clinical observations of genetic diseases involving deficiencies in Treg function indicate that the severity and the age of disease onset correlate to the depth of Treg functional impairment. Treg biology‐based therapies may not be suitable in patients with deficits of Treg function, unless their deficit can be corrected in vivo/in vitro. It is also critical to consider the appropriate stage of autoimmune diseases whereby administration of Treg cellular therapy can be effective. As highlighted, there are conflicting data regarding whether Treg cells are more effectual at preventing the initiation of autoimmunity, ameliorating disease progression or curing autoimmunity itself. This is because, although Treg cells can prevent the initiation of autoimmune responses, they cannot terminate ongoing responses. We therefore propose here a global sequential therapeutic strategy for autoimmune diseases that includes (1) induction treatments for diseases flares or chronic disease with chronic activity and (2) maintenance treatments that are suitable for diseases during remission phases by utilizing Treg cell biology‐derived therapies to prevent relapses or subsequent flares (Fig. 4). In patients with reduced Treg numbers (but no functional deficiency), the expansion of autologous Treg cells could be a suitable therapeutic approach (either infusion of in‐vitro‐expanded autologous cells, infusion of IL‐2/anti‐IL‐2 complex, or both). In contrast, patients with diseases involving deficiencies of Treg function would benefit from a detailed understanding of the impaired mechanisms of action of their Treg cells. We anticipate the development of suitable therapeutics to correct/reduce the severity of their Treg deficiencies and thereby reduce their disease burden. Another feasible therapeutic option would be to administer functional allogeneic expanded Treg cells. Acknowledgements M. A. is funded by the EASL Juan Rodes PhD Fellowship. The work is supported by the PHRC programme (AOR17082) and by AFPCA (Association Française de la PolyChondrite Atrophiante). Disclosures None declared. References
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The 2018 pipeline of targeted therapies under clinical development for Systemic Lupus Erythematosus: a systematic review of trials - ScienceDirect

The 2018 pipeline of targeted therapies under clinical development for Systemic Lupus Erythematosus: a systematic review of trials - ScienceDirect | AUTOIMMUNITY | Scoop.it
Currently, Systemic Lupus Erythematosus (SLE) therapies range from antimalarials to glucocorticoids, in addition to immunosupressive agents or biologi…
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Scooped by Gilbert C FAURE
April 2, 2019 9:33 AM
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Antinuclear Antibody Test Market | MarketsandMarkets Blog

The Research Report on Antinuclear Antibody Test Market provides a detailed overview of the major drivers, restraints, challenges, opportunities, current market trends, and strategies impacting the ANA testing market, along with revenue estimates & forecast and market share analysis. Major Insights Covered in research Study: It provides valuable information on the products, techniques, and diseases in the ANA testing market. Details on regional markets for these segments are also presented in this report. Also, leading players are profiled to study their product offerings and understand the strategies undertaken by them to be competitive in this Antinuclear Antibody Test Market. Download PDF Brochure (Antinuclear Antibody Test Market): https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=218189007 Market Segment by Diseases for Antinuclear Antibody Test Market; Rheumatoid Arthritis Systemic Lupus Erythematosus Sjögren’s Syndrome Scleroderma Other Diseases Market Segment by Techniques for Antinuclear Antibody Test Market; Based on techniques, the Antinuclear Antibody Test Market is segmented into enzyme-linked immunosorbent assay (ELISA), immunofluorescence assay (IFA), and multiplex assay. The ELISA segment is expected to account for the largest share of this market due to the expanding applications of ANA in autoimmune disease testing and therapeutic drug level monitoring. Speak to Our Subject Expert:https://www.marketsandmarkets.com/speaktoanalystNew.asp?id=218189007 Geographical Growth Insights for Antinuclear Antibody Test Market; North America is the largest regional segment in the ANA testing market, followed by Europe, Asia, and the Rest of the World (RoW). Growth in the North American market is primarily driven by the high incidence of autoimmune diseases, growing population and healthcare spending, and growth in the number of individuals covered under medical insurance in the U.S. Major Key Players Impacting the Global Market for Antinuclear Antibody Test; The major players in the antinuclear antibody test market are Alere Inc. (U.S.), Bio-Rad Laboratories, Inc. (U.S.), ERBA Diagnostics, Inc. (U.S.), Trinity Biotech plc (Ireland), Thermo Fisher Scientific, Inc. (U.S.), Antibodies, Inc. (U.S.), EUROIMMUN AG (Germany), Immuno Concepts (U.S.), Inova Diagnostics (U.S.), and Zeus Scientific, Inc. (U.S.). Request Research Sample Pages: https://www.marketsandmarkets.com/requestsampleNew.asp?id=218189007 Thermo Fisher Scientific was the leading player in the global ANA testing market. The company has a strong presence in North America, Europe, Asia, and Latin America. It focuses on expanding its presence in the ANA testing market by strategically investing in research and development activities, which enables it to launch new products in the Antinuclear Antibody Test Market. Tags:Antinuclear Antibody Test · Antinuclear Antibody Test industry · Antinuclear Antibody Test industry Analysis · Antinuclear Antibody Test Market · Antinuclear Antibody Test Market forecast · Antinuclear Antibody Test Market growth · Antinuclear Antibody Test Market key players · Antinuclear Antibody Test Market Research · Antinuclear Antibody Test Market Share · Antinuclear Antibody Test Market size · Antinuclear Antibody Test SALES
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March 29, 2019 2:16 PM
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Multicriteria decision analysis process to develop new classification criteria for systemic lupus erythematosus

Multicriteria decision analysis process to develop new classification criteria for systemic lupus erythematosus | AUTOIMMUNITY | Scoop.it
European League Against Rheumatism and are jointly supporting multiphase development of systemic lupus erythematosus (SLE) classification criteria based on weighted criteria and a continuous probability scale. Prior steps included item generation, item reduction and hierarchical organisation of candidate criteria using an evidence-based approach. Our objectives were to determine relative weights using multicriteria decision analysis (MCDA) and to set a provisional threshold score for SLE classification. An SLE Expert Panel (8 European, 9 North American) submitted 164 real, unique cases with a wide range of SLE probability in a standardised format. Using the candidate criteria, experts scored and rank-ordered 20 representative cases. At an in-person meeting, experts reviewed inter-rater reliability of scoring, further refined criteria definitions and participated in an MCDA exercise. Based on expert consensus decisions on pairwise comparisons of criteria, 1000minds software calculated criteria weights and rank-ordered the remaining 144 cases based on their additive scores. The score of the lowest-ranked case for which complete expert consensus was achieved defined the provisional threshold classification score. Inter-rater reliability of scoring cases with the candidate criteria was good. MCDA involved 74 pairwise decisions and was repeated for the arthritis and mucocutaneous domains when the initial ranking of some cases did not match expert opinion. After criteria weights and additive scores were recalculated once, experts reached consensus for SLE classification for all cases scoring>83. Using an iterative process, the candidate criteria definitions were refined, preliminary weights were calculated and a provisional threshold score for SLE classification was determined.
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March 19, 2019 10:18 AM
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Belimumab and low-doses of mycophenolate mofetil as induction therapy of class IV lupus nephritis: case series and literature review | BMC Nephrology | Full Text

Belimumab and low-doses of mycophenolate mofetil as induction therapy of class IV lupus nephritis: case series and literature review | BMC Nephrology | Full Text | AUTOIMMUNITY | Scoop.it
The treatment of Lupus Nephritis (LN) is an unmet need in the management of patients with Systemic Lupus Erythematosus (SLE). We report two cases of women affected by Lupus Nephritis (LN) ISN/RNP Class IV with serological active disease, high disease activity and marked fatigue. In both cases, Mycophenolate mofetil (MMF), as induction therapy, was poorly tolerated because of gastrointestinal toxicity. Belimumab, together with low-doses of MMF, was effective as induction treatment leading to early achievement of complete renal response in these two selected cases of LN. We also report a literature review concerning the efficacy and safety of Belimumab in Lupus Nephritis. Further studies are needed to evaluate the use of Belimumab to manage the renal involvement in patients with Systemic Lupus Erythematosus, waiting for the results of ongoing randomized clinical trials.

Via Krishan Maggon
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March 13, 2019 3:50 PM
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PLD4 is a genetic determinant to systemic lupus erythematosus and involved in murine autoimmune phenotypes

PLD4 is a genetic determinant to systemic lupus erythematosus and involved in murine autoimmune phenotypes | AUTOIMMUNITY | Scoop.it
Objectives Systemic lupus erythematosus (SLE) is an autoimmune disease that is characterised by autoantibody production and widespread inflammation damaging many organs. Previous genome-wide association studies (GWASs) have revealed over 80 genetic determinants of SLE, but they collectively...
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March 12, 2019 9:11 AM
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Drug-induced systemic lupus: revisiting the ever-changing spectrum of the disease using the WHO pharmacovigilance database

Drug-induced systemic lupus: revisiting the ever-changing spectrum of the disease using the WHO pharmacovigilance database | AUTOIMMUNITY | Scoop.it
Objective Drug-induced lupus (DIL) is an idiosyncratic side effect of treatments in which symptoms overlap with those of systemic lupus erythematosus (SLE). The spectrum of DIL constantly evolves with that of the pharmacopoeia.
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March 10, 2019 1:39 PM
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Mechanistic characterization of RASGRP1 variants identifies an hnRNP K-regulated transcriptional enhancer contributing to SLE susceptibility

Systemic lupus erythematosus (SLE) is an autoimmune disease with a strong genetic component. We recently identified a novel SLE susceptibility locus near RASGRP1, which governs the ERK/MAPK kinase cascade and B-/T-cell differentiation and development. However, precise causal RASGRP1 functional variant(s) and their mechanisms of action in SLE pathogenesis remain undefined. Our goal was to fine-map this locus, prioritize genetic variants according to likely functionality, experimentally validate the contribution of three SNPs to SLE risk, and experimentally determine their biochemical mechanisms of action. We performed a meta-analysis across six Asian and European cohorts (9,529 cases; 22,462 controls), followed by in silico bioinformatic and epigenetic analyses to prioritize potentially functional SNPs. We experimentally validated the functional significance and mechanism of action of three SNPs in cultured T-cells. Meta-analysis identified 18 genome-wide significant (p<5x10-8) SNPs, mostly concentrated in two haplotype blocks, one intronic and the other intergenic. Epigenetic fine-mapping, allelic, eQTL and imbalance analyses predicted three transcriptional regulatory regions with four SNPs (rs7170151, rs11631591-rs7173565, and rs9920715) prioritized for functional validation. Luciferase reporter assays indicated significant allele-specific enhancer activity for intronic rs7170151 and rs11631591-rs7173565 in T lymphoid (Jurkat) cells, but not in HEK293 cells. Following up with EMSA, mass spectrometry and ChIP-qPCR, we detected allele-dependent interactions between heterogeneous nuclear ribonucleoprotein K (hnRNP-K) and rs11631591. Furthermore, inhibition of hnRNP-K in Jurkat and T -cells downregulated RASGRP1 and ERK/MAPK signaling. Comprehensive association, bioinformatics, and epigenetic analyses yielded putative functional variants of RASGRP1. While several SNPs were experimentally validated, intronic variant (rs11631591), is located in a cell type-specific enhancer sequence, where its risk allele binds to the hnRNP-K protein and modulates RASGRP1 expression in Jurkat and human T-cells. As risk allele dosage of rs11631591 correlates with increased RASGRP1 expression and ERK activity, we suggest that this SNP may underlie SLE risk of this locus.
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other rasgrp papers on https://www.scoop.it/search?q=rasgrp

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May 7, 2019 11:43 AM
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Targeting interferons and their pathways in systemic lupus erythematosus - ScienceDirect

Targeting interferons and their pathways in systemic lupus erythematosus - ScienceDirect | AUTOIMMUNITY | Scoop.it
Significant advances in the understanding of the molecular basis of innate immunity have led to the identification of interferons (IFNs), particularly…
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April 30, 2019 2:25 PM
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Lack of standardisation of ANA and implications for drug development and precision medicine

Lack of standardisation of ANA and implications for drug development and precision medicine | AUTOIMMUNITY | Scoop.it
The recent article by Pisetsky et al 1, showing data derived from a comparison between different antinuclear antibody (ANA) assays in a cohort of patients with established systemic lupus erythematosus (SLE), addresses several important and current aspects of ANA detection.
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April 29, 2019 2:29 PM
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Article: Diagnosing and treating antiphospholipid syndrome: a consensus paper (full text) - April 2019 - NJM

Article: Diagnosing and treating antiphospholipid syndrome: a consensus paper (full text) - April 2019 - NJM | AUTOIMMUNITY | Scoop.it
Full text KEYWORDS Antiphospholipid syndrome, antiphospholipid antibodies, thrombosis, pregnancy morbidity, catastrophic antiphospholipid syndrome, treatment INTRODUCTION  The antiphospholipid syndrome (APS) is defined by the occurrence of venous and/or arterial thrombotic events and/or pregnancy-related morbidity (≥ 3 unexplained consecutive spontaneous abortions < 10 weeks with exclusion of chromosomal causes, foetal death or severe pre-eclampsia before 34th week of gestation), combined with the presence of circulating antiphospholipid antibodies (aPL) and/or a lupus anticoagulant (LAC), see table 1.1 Formally, LAC is the result of aPL binding to plasma proteins, mainly β2-glycoprotein, that have affinity for the negatively-charged phospholipids; therefore, the pathologic auto-antibodies are not directed against phospholipids. In this paper, the term ‘aPL’ refers to both LAC and anticardiolipin (aCL)/anti-β2-glycoprotein-I (anti-β2GPI) antibodies, following clinical practice and literature. APS is considered a primary autoimmune disease, but is often diagnosed as being secondary to other auto-immune diseases; 30-40% of patients with systemic lupus erythematodes (SLE) also have APS, and APS can be diagnosed secondary to rheumatoid arthritis, systemic sclerosis, dermatomyositis or other autoimmune diseases.2 Large, controlled, randomised clinical trials for interventions in APS are limited, and the quality of current data is not sufficient to develop a structured guideline or assess evidence-based management strategies. However, clinically-relevant questions about diagnostic criteria and treatment of APS patients arise on a daily basis. We aim to provide clinicians with an expert consensus on the management of APS, with a focus on classification, diagnostics, risk stratification, and treatment.  METHODS A literature review was performed (KdL and ML) with the following Pubmed search terms: ‘antiphospholipid syndrome’, "Antiphospholipid Syndrome"[Mesh], ‘antiphospholipid antibodies’, "Antibodies, Antiphospholipid"[Mesh], ‘obstetric antiphospholipid syndrome’, ‘catastrophic antiphospholipid syndrome’, ‘laboratory diagnostics’, ‘Clinical Laboratory Techniques"[Mesh] ‘diagnosis’, "Diagnosis"[Mesh], ‘treatment’ and "Therapeutics"[Mesh]; papers focusing on diagnostics and/or treatment for APS were included. Non-English papers and papers published before 2000 were excluded. The literature search was performed on April 3rd, 2018; papers published after that date but with high impact according to the writing committee were included until September 1st, 2018. Statements on APS diagnostics and treatment were extracted from the papers selected, and a first draft of the consensus paper was written (KdL and ML). This draft was circulated amongst all authors and comments were collected. On June 6th, 2018, a first consensus meeting was held in Utrecht, The Netherlands. Based on the outcomes of this meeting, a second draft of the paper was written (JS, ML) and circulated again for comments. On November 5th, 2018, a second consensus meeting was held in Utrecht, The Netherlands. Degree of consensus on statements was assessed by a Delphi procedure and a final report was written afterwards (see table 3). Diagnosis, classification, risk stratification Diagnosis of APS No diagnostic criteria for APS exist. If a patient meets the classification criteria – developed for research purposes – for APS (e.g., a thrombotic event and/or pregnancy morbidity, combined with repeated presence of antiphospholipid antibodies (aPL); see table 1), most likely a clinical diagnosis of APS will be made, although thrombotic and pregnancy complications are not necessarily causally related to circulating aPL. In addition to the thrombotic or pregnancy-related events listed in the classification criteria, APS may be associated with a variety of non-criteria manifestations, such as superficial vein thrombosis, thrombocytopenia, renal microangiopathy, heart valve disease, livedo reticularis or racemosa, migraine, chorea, seizures and myelitis; see table 2. As a result, a clinical diagnosis of APS can be made in patients who do not fulfil the classification criteria.3 An even more complicating factor is the concept of seronegative APS, a term coined to include patients with clinical (criteria and non-criteria) features suggestive of APS, but who are persistently negative for aPL.4 The existence of seronegative APS is a point of international discussion among experts. If the suspicion of seronegative APS arises, we suggest referral to an expert centre. Catastrophic antiphospholipid syndrome (CAPS) is the most extreme APS variant that includes simultaneous multiple organ thrombosis and develops in a short period of time with a high mortality rate. Although strongly associated with the presence of LAC, no other laboratory or clinical determinants are known to be associated with CAPS.2 Risk stratification in APS Several assessment tools to risk-stratify patients have been proposed, mainly focusing on presence and levels of aPL and/or on clinical parameters. For aPL, the presence of LAC is the strongest risk factor for both arterial and venous thrombosis in APS.5,6 For aCL and anti-β2GPI, the association between (levels of) antibodies and thrombosis is less clear. It has been suggested that anti-β2GPIdependent LAC has a strong association with thrombotic risk.7 In several studies, it has been demonstrated that the risk of arterial and venous thrombosis increases with the number of positive tests for aPL, with the highest risks in patients with both LAC, aCL and anti-β2GPI antibodies, so-called ‘triple positive patients’.6,8 In clinical practice, risk stratification does not affect treatment decisions in most situations. The antiphospholipid score (aPL-S) has been developed to predict the risk of APS-related clinical events in patients with APS and other autoimmune diseases (such as SLE, rheumatoid arthritis, and Sjögren’s syndrome) based on the presence of aPL.9 The global APS score (GAPSS) is another clinical score, including both aPL and conventional cardiovascular risk factors, predicting the risk of thrombotic events in patients with SLE.10 The GAPSS has been validated in a cohort of APS patients, and a correlation between higher GAPSS values and recurrence of thrombotic events was observed.11 However, these scores are not sufficient to design treatment strategies for the individual patient. We consider triple positive patients to be at highest risk for recurrent thrombosis. Laboratory diagnostics in APS The classification criteria for APS indicate three different antibody subsets of aPL. For two of these, the antigen is well-defined: aCL antibodies recognize the plasma glycoprotein β2GPI in complex with the anionic phospholipid cardiolipin, and anti-β2GPI antibodies recognize the protein β2GPI in the absence of cardiolipin. Both antibody subtypes can be detected with quantitative solid phase assays in which the antigen is immobilized on a surface. The third aPL subtype, known as LAC, is detected with a functional assay: these antibodies manifest as phospholipid-dependent inhibitors of in vitro coagulation. They are detected with phospholipid sensitive coagulation assays. Although the exact antigen to which LAC are directed is currently unclear, there is ample evidence that antibodies against β2GPI as well as antibodies against prothrombin can induce the LAC phenomenon.12,13 The diagnosis of APS is made in cases of persistent presence of aPL (titre > 99th percentile), assessed in two separate samples taken with an arbitrarily defined interval of at least twelve weeks. This is an important distinction, as several aPL occur transiently in relation to viral and bacterial infections and are of uncertain clinical relevance.14 Moreover, since aPL is prevalent (1-5%) in the general population,15 aPL status should only be tested in patients considered at risk of having APS, such as those < 50 years of age, unprovoked arterial or venous thrombosis, thrombosis at an unusual site, recurrent thrombosis, and thrombotic/pregnancy complications with or without association with a systemic autoimmune disease.16-18 Unfortunately, gold standards for aPL detection are lacking, although aCL assays based on pooled human serum have been in use for over 20 years.19 Reports have been published of new standards based on human(ized) monoclonal antibodies against β2GPI and purified patient-derived polyclonal antibody preparations, but these are not yet available.20 No such standards exist for LAC-positive plasmas. For further harmonization of results between diagnostic laboratories, centres performing these tests participate in diagnostic surveys as part of laboratory accreditation. Measurement of anticardiolipin and anti-β2-glycoprotein I antibodies The classification criteria for APS specify that both immunoglobin G (IgG) and IgM class immunoglobulins against cardiolipin or β2GPI should be measured. Several commercial entities supply kits to measure these antibodies and many laboratories have developed their own solid phase assays. To minimize the effect of the lack of gold standards and the large number of assays in use for detection of aPL on assay standardization, guidance on assay characteristics has been provided by the Scientific Standardization Committee of the International Society on Thrombosis and Haemostasis.16 Detection of aCL and β2GPI antibodies can be performed in both trisodium citrate anticoagulated plasma and in serum. Since aCL antibodies associated with APS are β2GPI-dependent, diagnostic laboratories should use assays in which cardiolipin is saturated with human β2GPI. Samples should be considered positive when the value obtained in these assays exceeds the 99th percentile of the normal population, rather than antibody levels exceeding 40 arbitrary units as indicated in the classification criteria, as this appears to be more specific for APS.21 We recommend that the laboratory report mentions both a cut-off value (< 99th or > 99th percentile, e.g., negative or positive) and a continuous numeric value. Detection of lupus anticoagulant LAC are phospholipid-dependent coagulation inhibitors and are detected with sensitive coagulation assays in trisodium citrate anticoagulated plasma. Plasma samples should be double centrifuged to minimize contamination with platelets, as they are a major source of phospholipid and might therefore interfere with LAC detection.17,18 LAC can be detected with any phospholipid-dependent coagulation assay, however, no gold standard for LAC testing exists. For this reason, it is warranted to perform two tests based on a different assay principle for LAC detection, preferably a dilute Russell’s viper venom time (dRVVT) and a LAC-sensitive activated partial thromboplastin time (APTT).17 In order to be deemed LAC-positive, a sample should have a prolonged clotting time when a reagent with a low phospholipid content is used (screening test), which should correct when a reagent with a high phospholipid content is used (confirmatory test), indicating phospholipid-dependence of the prolongation. The presence of a coagulation inhibitor as the cause of the prolongation should be shown with a mixing test, in which patient plasma is mixed with an equal volume of pooled normal plasma. This will normalise any coagulation factor deficiencies that are present, and any remaining prolongation of the clotting time is therefore caused by an inhibitor. Cut-off values for LAC should be determined locally in each diagnostic laboratory, based on the 99th percentile of the local normal population or alternatively, on the mean + 2 standard deviation (SD) of the clotting time of the normal population. The strength of the LAC should be expressed as a ratio between screen and confirm clotting times, preferably normalized on the mean of the normal population, according to the following equation:   Samples are deemed positive for LAC when one or both tests for LAC detection (APTT and dRVVT-based tests) indicate the presence of LAC. The use of anticoagulant drugs interferes with detection of LAC, possibly resulting in false-positive test results. Samples for LAC-detection should therefore be collected before treatment with anticoagulants has started, or sufficiently long after cessation of treatment to minimize confounding effects. However, it should be avoided to use samples obtained in the acute phase after a thrombotic event or during infection, as this is associated with high Factor VIII levels, which might interfere with LAC detection by APTT-based assays. Although LAC can be determined in samples from patients receiving vitamin K antagonists when they are mixed with an equal volume of pooled normal plasma, the outcome of LAC tests in samples with an INR within therapeutic range (INR 2-3) should be interpreted with caution and measurement of LAC in samples with an international normalised ratio (INR) > 3 is not recommended. Mixing antagonists with normal plasma dilutes the titre of LAC and thus reduces the sensitivity of the assay. On the other hand, the mixing test may not completely correct the clotting time for samples in the high INR range and may lead to false-positive interpretation. Temporary discontinuation of vitamin K antagonists (or co-administration of vitamin K and continuing vitamin K antagonists) and bridging with low molecular weight heparin is possible. Unfractionated heparin, however, is incompatible with LAC testing, as is the use of direct oral anticoagulants, even at trough levels of factor Xa or thrombin inhibitors, with factor Xa inhibitors producing false-positive LAC.22 No alternatives exist for LAC detection in samples containing direct thrombin inhibitors. A possible means to detect LAC in samples containing rivaroxaban is the Taipan snake venom time/Ecarin clotting time combination, as these tests are insensitive to factor Xa-inhibitors.23 More studies on the specificity and sensitivity for LAC of this test combination are required before these tests will be widely adopted for LAC detection. Non-criteria aPL There are several reports on the association between various non-criteria aPL subtypes and thrombosis. Amongst these are IgA anti-β2GPI antibodies,24-26 antibodies against the phospholipid phosphatidylethanolamine (PE),27 antibodies against the complex between the phospholipid phosphatidylserine, and the coagulation factor prothrombin (aPS/PT).28 Currently, however, there is insufficient evidence of their clinical relevance to warrant routine detection of these antibodies. Treatment Venous thrombosis in APS A first venous thrombotic event (VTE; amongst others including deep vein thrombosis and pulmonary embolism, abdominal vein thrombosis, cerebral vein thrombosis) should be treated according to the current guidelines for treatment of VTE; no routine testing for aPL is indicated in the general population. In cases of recurrent thrombosis (both provoked and unprovoked), or patients with a pre-existing autoimmune disease (and in particular, SLE), additional testing for aPL should be performed. Low molecular weight heparin (LMWH) in therapeutic doses and subsequent vitamin K antagonists (VKA) are first-line treatments for a first or recurrent APS-related venous thrombotic event (VTE). Treatment with direct oral anticoagulants (DOACs; see separate section below) is not recommended. For APS patients with a first VTE, life-long anticoagulation is recommended. After treatment with LMWH in the acute phase, treatment will be switched to VKA, with an INR target range of 2.0-3.0 for venous events.29,30 High-intensity treatment with an INR ≥ 3.0 after a first VTE is not recommended.31,32 Arterial thrombosis in APS Optimal long-term treatment for arterial thrombosis (other than cerebral arterial thrombosis; see below) is still a matter of debate; either anti-platelet therapy such as aspirin or clopidogrel, VKA with an INR target range of 2.5-3.5 or combined therapy with VKA with an INR target range of 2.0-3.0 and anti-platelet therapy has been recommended.30 As combined therapy, VKA and anti-platelet therapy has not been shown to be superior to anti-platelet therapy alone, and since more major bleeding complications were observed in the combination group,33 we do not recommend up-front combined treatment with both VKA and anti-platelet therapy. Based on expert opinion and in slight contrast with international recommendations, we prefer treatment with either clopidogrel or VKA with an INR target range of 2.0-3.0 in these patients.33,34 In patients with a cerebral ischemic event (transient ischemic attack (TIA) or ischemic stroke) as clinical manifestation, there is no evidence supporting one therapy over the other. A prospective, comparative study in aPL-positive stroke patients showed no benefit of warfarin over aspirin (325 mg/day) on recurrent events; more (minor) haemorrhagic complications in the warfarin group were observed. However, these patients did not necessarily fulfil APS criteria.35 A small (n = 20), randomized, controlled trial in APS patients with ischemic stroke compared VKA and low-dose aspirin with low-dose aspirin alone, and demonstrated less recurrent stroke in the combined-therapy group.36 In APS patients with a first ischemic stroke or TIA without any cause other than APS on work-up, we propose treatment with either VKA with an INR target range of 2.0-3.0 or clopidogrel (since this is superior to aspirin for stroke prevention in a general population suffering from atherosclerotic cerebrovascular disease).37 Position of direct oral anticoagulants in APS DOACs such as dabigatran, rivaroxaban, apixaban, and edoxaban, were shown to be non-inferior to VKAs for treatment and secondary prevention of venous thromboembolic events and prevention of stroke and systemic embolism in patients with nonvalvular atrial fibrillation.38 Furthermore, these drugs have some advantages compared to VKAs as it is a fixed dose, no monitoring is required, interaction is limited, and there is a lower risk of intracranial and other major bleeding. Nonetheless, few studies are published concerning the use of DOACs in known APS. A recent review summarised the available data, including one randomized controlled trial (RAPS trial) and case series.39 From all available case series and case reports, 122 patients were analysed.39 High-risk APS patients with triple positivity or with several clinical criteria for definite APS, developed recurrent thrombosis more frequently while on DOACs in comparison to warfarin. The RAPS trial, comparing 54 APS patients treated with rivaroxaban to 56 APS patients treated with warfarin, demonstrated that the in vitro anticoagulant effect of rivaroxaban may be inferior to that of warfarin.40 A randomized controlled clinical trial in triple positive patients, comparing VKA treatment with rivaroxaban, was terminated early due to more thrombotic events in the rivaroxaban-arm, with particularly more ischemic strokes in the DOAC group.41 At this moment VKAs, compared to DOACs, remain the standard of care in the treatment of APS, especially in high-risk APS patients. DOACs might be an alternativetreatment modality for only those patients with instable INR or poor adherence to INR monitoring, and we anticipate more data from future trials using DOACs in thrombotic APS. Recurrent venous thrombotic events while using anticoagulation therapy Recurrent thrombosis in APS patients, despite adequate anticoagulation therapy (INR target range, 2.0-3.0) is common and occurs in up to one-third of all patients.2 However, recurrent thrombosis is uncommon in APS patients with a higher INR target range of 2.5-3.5 and most patients treated with a VKA with recurrent thrombosis, appear to have an INR target < 3.0.42 Therefore, anticoagulation therapy should be intensified with a INR target range of 2.5-3.5 in case of a recurrent venous event despite adequate INR. When a recurrent venous thrombosis is diagnosed with a suboptimal INR (< 2.0), therapeutic LMWH should be given for a period of two weeks and the INR treatment range should not be changed. Note that the INR value can be underestimated due to interference of thromboplastin and LAC, although this is mostly problematic with higher INR values, i.e. > 4.0.43 If the target INR cannot be reached and/or maintained with VKA, referral to an expert centre is recommended. Based on expert opinion, in patients with recurrent venous thrombosis, despite an adequate INR target range of 2.5-3.5 and after two weeks of therapeutic LMWH, additional long-term use of aspirin can be  recommended,  or  intensifying of  VKA  therapy with to an INR  target  range  of 3-4. Alternatively, a permanent switch to therapeutic LMWH can be considered. Combining VKA with hydroxychloroquine may also decrease the risk of recurrent venous thrombosis, although randomized studies with hydroxychloroquine in APS are still lacking.44,45 Until now, no clinical support for the use of statins in patients with recurrent venous thrombosis despite anticoagulation exists. However, based on in vitro work and surrogate endpoints, a beneficial role of statins has been suggested.46,47 Recurrent arterial thrombotic events while using anticoagulation therapy No consensus on treatment of recurrent arterial thrombosis was reached at the last meeting of the APS task force.30 Optimal treatment strategies for recurrent arterial thrombotic events have not been studied. In recurrent arterial thrombosis, including TIA or ischemic stroke, despite treatment with clopidogrel, we suggest switching treatment to VKA with an INR target range of 2.0-3.0. If recurrent arterial thrombosis occurs despite adequate treatment with VKA, referral to an expert centre is recommended. We do not recommend to routinely perform brain magnetic resonance imaging (MRI) in APS patients with an ischemic stroke. However, some experts believe that if neurological symptoms, including migraine or cognitive performance, deteriorate, a repeat brain MRI is indicated and new white matter abnormalities may lead to intensifying treatment. The possible benefits of this strategy have not been confirmed in clinical studies, and for patients with deterioration of neurological symptoms, referral to an expert centre is recommended.  Catastrophic antiphospholipid syndrome (CAPS) CAPS is a rare complication of APS and occurs in approximately 1% of APS patients. CAPS is a severe condition, including massive (mostly arterial) thrombosis of small vessels, causing multi-organ failure. Mortality in CAPS is high, up to 50%. Adequate and fast treatment initiation slightly improves clinical outcomes (mortality 20-40%) and treatment should be carried out in an expert centre.48,49 A combination of anticoagulant drugs (mostly unfractionated heparin with APTT ratio 2-2.5), intravenous corticosteroids (methylprednisolone 500-1000 mg/day for 3-5 days), therapeutic plasma exchange (TPE) and/or intravenous immunoglobulins (IVIG) (1 g/kg, for a time period of 3 days) is associated with highest survival rates. Combination of heparin-corticosteroids-plasmapheresis with or without additional IVIG results in 69-78% patient survival.50-52 TPE should be started when the clinical suspicion of CAPS arises, within a minimum of 5 days.52 Clinical response dictates the duration of TPE and no single clinical or laboratory parameter is used to determine when to discontinue treatment. For patients with CAPS and underlying SLE, treatment with cyclophosphamide (750 mg/m2 monthly) has been proposed.48,53 Rituximab (anti-CD20) has been administered to patients with refractory CAPS and may be of adjunctive value in a selected population of patients. Eculizumab (anti-complement 5) has been reported in case reports as a last resort, and could be considered in those patients refractory to all other therapies.54,55 Pregnancy and antiphospholipid antibodies Pregnancy complications of APS include recurrent first trimester pregnancy loss, intrauterine growth restriction (IUGR), preeclampsia (PET), premature birth, and intrauterine death (IUD). Early miscarriages are reported in 26-35% and aPL-related PET, premature birth or foetal death are seen in 10–20% of APS pregnancies.2,56 Women with positive aPL do not all carry the same obstetric risk. The following parameters are associated with an increased risk: the presence of LAC, more than one aPL (especially triple positivity), IgG aPL (instead of IgM), previous thrombosis, previous pregnancy complications, associated autoimmune condition, and hypocomplementemia.57 At present, however, risk stratification does not direct different treatment strategies. The current standard treatment, based on low-dose aspirin and LMWH, increases the percentage of a successful pregnancy from 20% to 54-80%.58 In patients with obstetrical APS, aspirin and a prophylactic dose of LMWH should be administered. Depending on the context (concurrent SLE, maternal age, non-criteria clinical features), treatment of patients with fewer than three miscarriages, and therefore, formally not classified as having APS, can be considered. To prevent overtreatment in these cases, confirmation of miscarriage by ultrasound is recommended. During pregnancy, regular clinical pregnancy follow-up is sufficient; only in specified subpopulations (e.g. patients with SLE, chronic kidney disease, morbid obesity, triple positive antibody profile, and patients with a thrombotic event during pregnancy), follow-up (of foetal growth and hypertensive pregnancy complications) should be intensified. Platelets should be checked at least once every 10-14 days after starting LMWH to exclude heparin-induced thrombocytopenia. If pregnancy complications (foetal death or miscarriage) still occur despite combined treatment with low-dose aspirin and prophylactic dose of LMWH, the dose of LMWH can be increased to a therapeutic dose; reverting back to a prophylactic dose of LMWH after 36 weeks of gestation can be considered. Based on expert opinion, patients with APS who already use therapeutic anticoagulation before pregnancy, should be switched to therapeutic dose of LMWH and low-dose aspirin should be added. Anti-factor Xa levels should be periodically monitored (at least once every trimester) in patients receiving therapeutic doses of LMWH, depending on the context. If this strategy fails, further treatment should take place in an expert centre. The recommendations are again based on expert opinion and retrospective cohort studies and include, for example, the addition of hydroxychloroquine or intravenous immunoglobulins. This should however, be confirmed in randomized controlled trials.59-61 In the postpartum period there is an increased risk for thrombosis. Patients with APS with an indication of therapeutic anticoagulation before pregnancy, should be switched to VKA or continue with therapeutic LMWH. Obstetrical APS patients should receive prophylactic or intermediate doses (a randomized clinical trial to investigate optimal dosing is currently underway62) of LMWH during a period of six weeks postpartum.57 Withdrawal of antithrombotic treatment in APS As mentioned above it is recommended to treat thrombotic APS patients lifelong. However, as long-term anticoagulation therapy is associated with haemorrhagic complications, the question arises whether it is possible to withdraw this therapy in selected patients, especially those who have a long-term event free period or who no longer have positive aPL, also called seroconversion. Only a few (uncontrolled and small) studies have addressed this question. Criado-Garcia et al described the effects of anticoagulation withdrawal in six primary APS patients in whom aPL had disappeared.63 None of these patients experienced a thrombotic event during a follow-up of 21 ± 4.9 months. It should be mentioned, however, that these patients were at low risk for recurrence, as they only had a venous thrombosis history. Similar results were found by Coloma Bazan et al, who reported no thrombotic recurrences after anticoagulation withdrawal durign a median follow-up of 20 months in 11 primary APS patients (seven with history of venous thrombosis and four with obstetrical APS).64 However, in a more recent study, 30 APS patients with anticoagulation withdrawal were compared to a thrombotic APS control population without withdrawal. During a median follow-up of 51 months, anticoagulation withdrawal was associated with a higher risk of thrombotic relapse (HR 4.82). Predictive factors were male gender, anti-β2GPI-positivity and triple positivity at onset as well as persistence positivity over time. Predictive factors for low risk of relapse were aspirin prescription and aPL disappearance during follow-up.65 In conclusion, data is insufficient to draw firm conclusions concerning anticoagulation withdrawal in APS patients. The available data suggests that anticoagulation could be withdrawn in APS patients with a single provoked venous thrombotic event in the presence of a known transient precipitating risk factor (such as smoking, disease activity, oral contraceptive use) together with disappearance of aPL. In all other situations, the high risk of thrombotic relapse favours the continuance of anticoagulation treatment. Randomized studies with larger sample sizes are still needed to confirm these statements.66,67 The decision to withdraw anticoagulation in APS patients should be made in an expert centre. Position of rituximab, hydroxychloroquine, intravenous immunoglobulins Several immunomodulatory drugs are suggested for the treatment for patients with APS, although their exact use in the treatment of APS is unclear; these include. rituximab, hydroxychloroquine (HCQ), and IVIG. Most evidence is based on cohort studies, case series or expert opinion. Only a few randomised controlled trials (RCTs) are published. Furthermore, their application is strongly dependent on the different clinical situations. For example, in secondary APS in SLE patients, HCQ is strongly recommended, as it has been shown that HCQ has ‘thrombo-protective’ effects, resulting in fewer venous and arterial thrombotic events.68 In primary APS, limited data is available. One retrospective cohort study demonstrated strong reduction of aPL titres and a decrease in the incidence of arterial thrombosis recurrence by using HCQ.69,70 One RCT randomizing 40 APS patients to VKAs versus VKAs with HCQ showed a protective effect of adding HCQ upon venous thrombotic events.45 At this moment, HCQ is not included in standard care of primary APS, but refractory cases, including refractory obstetrical APS, might benefit from this treatment. Treatment with HCQ (200-400 mg per day) is safe during pregnancy and lactation. Rituximab and IVIG may be used in difficult-totreat APS patients, especially in those with CAPS or recurrent haematological non-criteria manifestations as thrombocytopenia, but not as standard of care of APS.71,72 Prophylaxis in aPL-positive patients without earlier events The question remains whether patients with obstetric APS or individuals with positive aPL without thrombotic events should be treated to prevent thrombosis (primary thromboprophylaxis). At present, there is insufficient evidence to support prophylactic treatment for all of these patients.8,73 However, in patients with more risk factors for thrombosis (such as obesity, smoking, higher age) and/ or high-risk aPL profile (e.g., triple positive), low dose aspirin might be beneficial. In any case, attention should be paid to avoid or to treat any associated cardiovascular risk factors, e.g. using antihypertensives or cholesterollowering agents and avoidance of smoking, etc. Also, the administration of oral contraceptives should be used with caution and with counselling.74 Lastly, prophylaxis of venous thrombosis using LMWH is required for patients in situations associated with increased risk of thrombosis, such as surgical procedures, plaster casts, and those requiring bed rest.  CONCLUSION  APS is a rare and heterogeneous disease and as a result, well-designed and well-conducted clinical trials are scarce and the development of a formal guideline is difficult. However, by combining data from completed clinical intervention trials together with observational data and data from research in other thrombotic and/ or inflammatory conditions, recommendations for clinical practice can be formulated. Current national and international initiatives – such as the Dutch Arthritis Research and Collaboration Hub (ARCH) and the European Reference Network on Rare and Complex Connective Tissue and Musculoskeletal Diseases (ERN-ReConnet) – are aiming to structure the care for APS patients to offer a unique future opportunity to collect longitudinal clinical data on APS treatment and outcomes. Until a formal guideline has been made, this consensus paper fills the gap between evidence-based medicine and daily clinical practice for the care of APS patients. ACKNOWLEDGEMENTS KdL and ML performed the literature search and wrote the first article draft. All authors reviewed and commented on the first article draft and attended the first consensus meeting. JS and ML wrote the second article draft. All authors reviewed and commented on the second article draft. ML wrote the final report. All authors read the final report and agreed with the text. DISCLOSURES All authors declare no conflicts of interest. FUNDING This work was supported by the Arthritis Research and Collaboration Hub (ARCH) Foundation. REFERENCES Myakis S, Lockshin MD, Atsumi T, et al. International consensus statement on an update of the classification criteria for definite antiphospholipid syndrome (APS). J Thromb Hemost. 2006;4:295-306. Cervera R, Piette JC, Font J et al. Antiphospholipid syndrome: clinical and immunologic manifestations and patterns of disease expression in a cohort of 1,000 patients. Arthritis Rheum. 2002;46:1019-27. Abreu MM, Danowski A, Wahl DG, et al. The relevance of "non-criteria" clinical manifestations of antiphospholipid syndrome: 14th International Congress on Antiphospholipid Antibodies Technical Task Force Report on Antiphospholipid Syndrome Clinical Features. Autoimmun Rev. 2015;14:401-14. Hughes GRV, Khamashta MA. Seronegative antiphospholipid syndrome. Ann Rheum Dis. 2003;62:1127. Galli M, Luciani D, Bertolini G, Barbui T. 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JCI Insight - Stem cell–derived tissue-associated regulatory T cells suppress the activity of pathogenic cells in autoimmune diabetes

JCI Insight - Stem cell–derived tissue-associated regulatory T cells suppress the activity of pathogenic cells in autoimmune diabetes | AUTOIMMUNITY | Scoop.it
Research ArticleImmunology Free access | 10.1172/jci.insight.126471 Stem cell–derived tissue-associated regulatory T cells suppress the activity of pathogenic cells in autoimmune diabetes Mohammad Haque,1 Fengyang Lei,2 Xiaofang Xiong,1 Jugal Kishore Das,1 Xingcong Ren,3 Deyu Fang,4 Shahram Salek-Ardakani,5 Jin-Ming Yang,3 and Jianxun Song1 First published February 19, 2019 - More info Abstract The autoantigen-specific Tregs from pluripotent stem cells (PSCs), i.e., PSC-Tregs, have the ability to suppress autoimmunity. PSC-Tregs can be programmed to be tissue associated and to infiltrate into local inflamed tissues to suppress autoimmune responses after adoptive transfer. Nevertheless, the mechanisms by which the autoantigen-specific PSC-Tregs suppress the autoimmune response remain to be fully elucidated. In this study, we generated functional autoantigen-specific Tregs from the induced PSC (iPSCs), i.e., iPSC-Tregs, and investigated the underlying mechanisms of autoimmunity suppression by these Tregs in a type 1 diabetes (T1D) murine model. A double-Tg mouse model of T1D was established in F1 mice, in which the first generation of RIP-mOVA Tg mice that were crossed with OT-I T cell receptor (TCR) Tg mice was challenged with vaccinia viruses expressing OVA (VACV-OVA). We show that adoptive transfer of OVA-specific iPSC-Tregs greatly suppressed autoimmunity in the animal model and prevented the insulin-secreting pancreatic β cells from destruction. Further, we demonstrate that the adoptive transfer significantly reduced the expression of ICAM-1 in the diabetic pancreas and inhibited the migration of pathogenic CD8+ T cells and the production of the proinflammatory IFN-γ in the pancreas. These results indicate that the stem cell–derived tissue-associated Tregs can robustly accumulate in the diabetic pancreas, and, through downregulating the expression of ICAM-1 in the local inflamed tissues and inhibiting the production of proinflammatory cytokine IFN-γ, suppress the migration and activity of the pathogenic immune cells that cause T1D. Graphical Abstract Introduction Type 1 diabetes (T1D) develops due to autoimmune self-destruction of pancreatic β cells that produce insulin, and life-time administration of insulin is required for treatment of this disease (1). Although accumulating knowledge has contributed greatly to our understanding of the autoimmune pathogenesis of T1D, the precise causes remain unclear. It has been generally appreciated that autoimmune diseases arise from the breakdown of immune tolerance (2, 3). A number of studies found the massive infiltration of CD8+ T cells into the pancreases of newly diagnosed T1D patients whereas the number of CD4+ T cells was greatly reduced (4, 5). Infiltrated CD8+ T cells are pathogenic to the islets, can cause the destruction of pancreatic β cells, and ultimately reduce the secretion of insulin. Currently, there is no definitive treatment for controlling blood glucose level in T1D except durable insulin therapy. As a result, generation and transplantation of exogenous β cells to replace dead or dysfunctional endogenous β cells are considered as a promising strategy for controlling blood glucose level in patients with T1D. However, since the autoimmune disease is a continuous process, after β cell transplantation, diabetes may develop and progress again through destruction of the pancreatic islets by pathogenic T cells. Therefore, β cell transplantation might not be a long-lasting solution for the control of blood glucose level in T1D. Over the past several years, there has been an increasing interest in Tregs, which play a fundamental role in controlling various autoimmune responses. Numerous preclinical studies suggest that adoptive transfer of Tregs can prevent or cure T cell–mediated autoimmune diseases, such as T1D and arthritis (6, 7). There are several advantages of the Treg adoptive transfer over conventional treatments. These advantages include (a) the potential of antigen (Ag) specificity without general immunosuppression; (b) the option of inducing “physiological” long-lasting regulation in vivo; and (c) the possibility of Treg-based immunotherapy as a customized or personally designed agent for each patient, with reduced side effects (8, 9). It is now generally believed that adoptive transfer of in vitro–generated Tregs can reduce the hazards of complicated surgical events throughout the life. However, the use of Tregs has been complicated due to difficulties in expanding and characterizing this minor subset of T cells. Here, we report the development of a robust technique for producing a large amount of autoantigen-specific Tregs from induced pluripotent stem cells (iPSCs), i.e., iPSC-Tregs that retain all the quintessential characteristics of this T cell subset, including expressions of CD25, CTLA-4, and FoxP3 and production of IL-10. We show that adoptive transfer of these autoantigen-specific iPSC-Tregs significantly reduces the high ratio of CD8+ to CD4+ T cells in the pancreases of diabetic mice and markedly decreases the expression of intracellular adhesion molecule-1 (ICAM-1) in the pancreases of prediabetic and diabetic mice. These results demonstrate the great potential of stem cell–derived autoantigen-specific Tregs in T1D immunotherapy. Moreover, we show that the stem cell–derived tissue-associated Tregs control autoimmune diabetes via preventing the ICAM-1–mediated migration of pathogenic CD8+ T cells in the pancreas and suppressing the production of proinflammatory cytokine IFN-γ. Results Characterization of autoantigen-specific naturally occurring Treg–like iPSC-Tregs. Although FoxP3 is a master regulator and a specific molecular marker for naturally occurring Tregs (nTregs), there is evidence that FoxP3 expression is not a distinct and reliable marker or a sole regulator of functionally stable Tregs. In addition, recent evidence showed that various transcription factors are critical for the development of FoxP3+ Tregs, including Nr4a1, Ikzf4, Tnfrsf18, and Tbx21 (10). These genes, which are substantially expressed in nTregs, are essential for regulating Treg transcriptional programs and maintaining the lineage stability in Tregs. We previously showed the generation of functional Ag-specific iPSC-Tregs, which had the ability to suppress the development of autoimmune arthritis after adoptive transfer in murine models (11, 12). Because the iPSC-Tregs are retrovirally transduced with FoxP3 and TCR genes and have a similar phenotype to iPSC-Tregs in expression of IL-10 and TGF-β, we examined the Treg signature genes in the autoantigen-specific iPSC-Tregs. We adoptively transferred Rag 1–/– mice with pre-iPSC-Tregs that had been cocultured with OP9-DL1/DL4/I-Ab cells for 7 days. Six weeks later, mice were sacrificed and their spleens and lymph nodes (LNs) were removed for the isolation of CD4+CD25+ cells. Conversely, CD4+CD25+ cells were sorted from the spleens and LNs of normal C57BL/6 mice. RT-PCR analysis of the Treg signature genes showed that there were no significant differences between the mice in gene expression of the transcription factors (Nr4a1, Il2ra, Ikzf4, Tnfrsf18, and Bcl6) involved in the regulation of Treg functions (all P > 0.05, Figure 1). Collectively, these results and suggest that the autoantigen-specific iPSC-Tregs are nTreg-like suppressive cells. Figure 1 Characterization of autoantigen-specific nTreg-like iPSC-Tregs. PCR analysis was performed by TaqMan real-time PCR. Primers for sequences were used as follows: (A) Nr4a1, forward 5′-TGTGAGGGCTGCAAGGGCTTC-3′, reverse 5′-AAGCGGCAGAACTGGCAGCGG-3′; (B) Il2ra, forward 5′-AACTGCCAGTGCACCAGCAAC-3′, reverse 5′ GAGGTGGCTCCCTGCAGTGAC-3′; (C) Ikzf4, forward 5′-CAATCTGCTTCGCCACATCAAG-3′, reverse 5′-GCCACAGTAGTTGCACTTGTAG-3′; (D) Tbx21, forward 5′-GGAGCCCACTGGATGCGCCAG-3′, reverse 5′ AGGCAGCCTCTGGCTCTCCATC-3′, Tnfrsf18, forward 5′-CCTGCCAACCAGGCCAGAGGG-3′, reverse 5′-GTCCAAAGTCTGCAGTGACCG-3′; and (E) Bcl6, forward 5′-CACACCCGTCCATCATTGAA-3′, reverse 5′-TGTCCTCACGGTGCCTTTTT-3′. Data shown are representative of 3 identical experiments. The values represent mean ± SEM (n = 3). ns, P > 0.05, Student’s 1-tailed t test. Accumulation of activated CD8+ T cells in autoantigen-expressing pancreases of diabetic mice. To show the expression of autoantigen in the pancreases of double-Tg mice (B6-mOVA with OT-I), we performed immunofluorescence examination. The results showed the expression of OVA autoantigen in the double-Tg mice but not in the B6 or OT-I control mice (Figure 2A). Because the OVA-specific CD8+ T cells have the ability to migrate into the pancreases of the F1 generation that results from crossing B6 mOVA with OT-I TCR Tg mice and to cause destruction of the islets, we examined the fate of OVA-specific CD8+ T cells in vivo (Figure 2B). The migrations of CD8+ T cells in diabetic mice were further confirmed by flow cytometry in which more numbers of both CD8+ and TCRVβ5+ cells were present in diabetic mice (Figure 2C). In F1 mice after vaccinia virus (VACV) infection (Supplemental Figure 3; supplemental material available online with this article; https://doi.org/10.1172/jci.insight.126471DS1), the draining LNs and spleens of the F1 mice were analyzed for the presence of OT-I CD8+ T cells. The proportions of OVA-specific CD8+ cells among the total CD8+ cells in the pancreatic LNs were significantly higher than in the pyloric, mesenteric, inguinal, cervical, or splenic LNs. No apparent accumulation or homing was observed in the non-Tg control B6 mice (Figure 2D). Additionally, all F1 mice after VACV infection developed autoimmune diabetes at age of 9 weeks, which was confirmed by the measurement of blood sugar (Figure 2E). These results verify that autoantigen-specific CD8+ T cells are the main pathogenic immune cells that induce autoimmune diabetes in the murine model. Figure 2 Accumulation of activated CD8+ T cells in autoantigen-expressing pancreases in diabetic mice. Pancreases were isolated from B6-mOVA × OT-I TCR double-Tg mice and B6 mice at 9 weeks of age, including 1 week in which mice were challenged with vaccinia viruses expressing OVA (VACV-OVA). (A) Detection of OVA expression by immunohistochemically staining. OVA expression (arrow) is indicated (original magnification, ×200). Data are representative of 5 mice per group in 3 independent experiments. Scale bar: 20.1 μm. (B) CD8+ T cell infiltration in the pancreas. CD8+ T cells (arrow) are indicated. Data are representative of 5 mice per group in 3 independent experiments. Scale bar: 20.1 μm. (C) OVA-specific CD8+ T cells in the pancreas. OVA-specific TCRVβ5 was analyzed by flow cytometry, after gating on CD8+ populations from the pancreas. Data shown are representative of 3 independent experiments (P < 0.001, Student’s 1-tailed t test). (D) Summarized analyses of OVA-specific CD8+ T cells in various locations. Data shown are representative of 5 mice per group in 3 independent experiments. Data shown are representative of 3 individual experiments. The values represent mean ± SD. **P < 0.01; ns, P > 0.05, multiple Student’s 1-tailed t test. (E) Blood glucose measurement. Data shown are representative of 3 individual experiments (n = 5). The values represent mean ± SD. **P < 0.01, Student’s 1-tailed t test. In vivo specificity of nTreg-like autoantigen-specific iPSC-Tregs. To exert their suppressive effects, Tregs need to migrate to specific tissues or organs, and this requires Ag specificity (8). We and others have previously reported that Tregs are detected within inflamed tissues and transplanted grafts, suggesting that these Tregs could control effector T cells in the peripheral tissues at sites of ongoing immune responses (12–14). Tregs may block the pathogenic cells from filling up their appropriate niche by taking up the space. The Treg population was reduced in autoimmune prone animals and patients, and Tregs were defective in NOD mice (15). In this study, we observed that mice receiving autoantigen OVA-specific iPSC-Tregs maintained a high population of both CD4+ and FoxP3+ cells in the pancreas, as compared with diabetic mice receiving control cells (iPSC-derived cells with empty vector) or nontissue-associated SM1-specific iPSC-Tregs by immunofluorescence examination (Figure 3A) and by flow cytometric analysis (90.1% vs. 12.5% or 16.8% at week 13, Figure 3B). These results suggest that the autoantigen-specific iPSC-Tregs are organ/tissue-associated nTreg-like suppressive cells. Figure 3 Accumulation of autoantigen-specific iPSC-Tregs in the pancreases of diabetic mice following adoptive transfer. B6-mOVA Tg × OT-I TCR double-Tg mice were immunized with VACV-OVA. At week 10, control cells or OVA- or SM1-specific pre-iPSC-Tregs were transferred into diabetic mice. Before or after the cell transfer, mice were sacrificed and their pancreases were isolated for analysis of CD4 and FoxP3. (A) Immunohistology at week 13 (original magnification, ×200). Scale bar: 20.1 μm. (B) Flow cytometric analysis at week 10 (before the cell transfer), 13, and 16. Data are representative of 5 mice per group in 3 independent experiments. Autoantigen-specific iPSC-Tregs can prevent destruction of pancreaticβcells and reduce autoimmune diabetes. Next, we injected diabetic mice with autoantigen-specific iPSC-Tregs. Two weeks after the cell transfer, blood glucose levels were measured. This cell transfer with autoantigen OVA-specific iPSC-Tregs but not control cells or nontissue-associated SM1-specific iPSC-Tregs significantly reduced blood glucose level with urine discharge in all of the diabetic mice (P < 0.0001, Figure 4A and Supplemental Figure 3). T1D develops due to the destructive autoreactive immune response in which CD8+ T cells play a critical role. CD8+ T cells infiltrated into the pancreatic islets of the T1D patients at both initial and final destructive phases of autoimmune β cells attack (16). The blood glucose level was increased because of the destruction of β cells in the islets by pathogenic CD8+ T cells in the diabetic pancreas, which was evidenced in the above mouse diabetic model. More CD8+ T cells were accumulated in the pancreases of mice receiving control cells or nontissue-associated Ag-specific iPSC-Tregs than autoantigen-specific iPSC-Tregs by immunofluorescence examination (Figure 4B) and by flow cytometric analysis (49.8% or 46.1% vs. 6.5%, Figure 4C). Only mice receiving autoantigen-specific iPSC-Tregs had a significantly reduced percentage of incidence of diabetes (P < 0.001, Figure 4D). A large number of inflammatory cells had infiltrated into the pancreases of mice receiving control cells, whereas the infiltration was substantially reduced in mice receiving autoantigen-specific iPSC-Tregs, as shown by H&E staining (Figure 4E). The total number of the islets was also reduced in mice receiving control cells as compared with autoantigen-specific iPSC-Tregs (P < 0.01 or P < 0.001, Figure 4F). To detect the destruction of β cells in the islets of diabetic mice, we stained pancreases with insulin. The islets were reduced in size and number in mice receiving control cells, whereas mice receiving autoantigen-specific iPSC-Tregs were protected from the destruction, by immunofluorescence examination (Figure 4G). The islets were partially destructed by pathogenic CD8+ T cells, which caused the increase of blood sugar and developed autoimmune diabetes, but some insulin+ staining in diabetic mice was still present. Collectively, these results indicate that autoantigen-specific iPSC-Tregs are specific and effective in protecting the hosts from islet destruction and in promoting insulin secretion to prevent the mice from diabetes mellitus. Figure 4 Prevention of destruction of pancreatic β cells and suppression of autoimmune diabetes by autoantigen-specific iPSCs-Tregs. Control cells or pre-iPSC-Tregs were adoptively transferred into diabetic mice, as described in Figure 3. (A) Blood sugar measurement at various weeks. Data shown are representative of 5 mice per group in 3 independent experiments. **P < 0.001; ***P < 0.0001, 2-way ANOVA analysis. (B) Immunofluorescence detection of pathogenic immune cells. Mice were sacrificed and pancreases were isolated for immunohistochemistry staining with CD8+ T cells (original magnification, ×200). Scale bar: 20.1 μm. Data are representative of 5 mice per group in 3 independent experiments. (C) Flow cytometric analysis of pathogenic immune cells. Pancreatic lymph nodes (LNs) were isolated, and single-cell suspensions were prepared for OVA-specific CD8+ TCRVβ5+ staining and analyzed by flow cytometry. Data shown are representative of 3 identical experiments (P < 0.001, Student’s 1-tailed t test). (D) Percentage of incidence of diabetes at week 22. Data shown are representative of 5 mice per group in 3 independent experiments. The values represent mean ± SD. **P < 0.001; ***P < 0.001, 1-way ANOVA analysis. (E) Representative photomicrographs (H&E staining) of the islet inflammation (original magnification, ×200). Scale bar: 20.4 μm. Cellular infiltrations (arrow) are indicated. Data are representative of 5 mice per group in 3 independent experiments. (F) Islet count from sections of 5 individual pancreases in each group. Data are represented as the mean ± SD of 3 independent experiments (***P < 0.001, 1-way ANOVA analysis). (G) Representative photomicrographs (immunofluorescence staining) of islet destruction (original magnification, ×200). Scale bar: 20.1 μm. Insulin-producing cells (arrow) are indicated. Data are representative of 5 mice per group in 3 independent experiments. Autoantigen-specific iPSC-Tregs can decrease the expression of ICAM-1. A number of mononuclear cells, including macrophages and CD4+ T cells, were found to be initially predominant in the autoimmune process taking place in T1D (17, 18). In autoimmune diabetes, these cells played an important role in the early infiltrating process and were shown to express ICAM-1, which served to bind to lymphocytes and possibly to monocytes and polymorphonuclear leukocytes (19). The infiltrated ICAM-1 can promote the release of several cytokines that modulate the expression of the adhesion molecules, thus increasing the adhesion of leukocytes and other autoreactive T cells (20). These autoreactive T cells, after migrating into the pancreas, start to destroy β cells. We thus examined the expression of ICAM-1 in the pancreases. The high expression of ICAM-1 in the pancreases of the diabetic mice, which was undetectable in the normal pancreases, was significantly reduced in diabetic mice receiving autoantigen-specific iPSC-Tregs but not other control cells (Figure 5, A and B). In addition, the high expression of ICAM-1 on the effector CD4+ T cells in the pancreases of the diabetic mice receiving control cells (84.4% or 78.9%), which was undetectable in the normal pancreases (0.35%), was markedly reduced in those of mice receiving autoantigen-specific iPSC-Tregs (18.4%) (Figure 5C). In addition, the expression of ICAM-1 on CD11b+ cells in the pancreases of diabetic mice receiving control cells (15.64% or 12.83%), which was at a low level in the normal pancreases (4.89%), was considerably reduced in those of mice receiving autoantigen-specific iPSC-Tregs (5.68%) (Figure 5D). Because CD11b is expressed on the surface of various leukocytes, including monocytes/macrophages, granulocytes, neutrophils, NK cells, and dendritic cells, the reduction of CD11b+ICAM-1+ cells indicated the inhibition of leukocyte adhesion and migration to mediate the inflammatory response. Taken together, these results suggest that the autoantigen-specific iPSC-Tregs can reduce the expression of ICAM-1 in diabetic mice, inhibit the migration of autoreactive CD8+ T cells into the pancreas, and, ultimately, protect the pancreatic β cells from destruction. Figure 5 Reduction of ICAM-1 expression in the diabetic pancreas by autoantigen-specific iPSC-Tregs. Mice were sacrificed 4 weeks after adoptive cell transfer, and the pancreases were isolated from nondiabetic, diabetic (cell transfer control), and diabetic (Ag-specific iPSC-Treg transfer) mice. Samples were prepared for immunohistochemistry staining. (A) ICAM-1+ zones (arrow) are indicated (original magnification, ×200). Data are representative of 5 mice per group in 3 independent experiments. (B) Quantification of ICAM-1 expression from sections of 5 individual pancreases in each group. Data are represented as the mean ± SD from 3 independent experiments (**P < 0.01; ***P < 0.001, 1-way ANOVA). (C and D) Flow cytometry analysis of ICAM-1 expression in pancreatic CD4+ T or CD11b+ cells. The pancreatic lymph nodes (LNs) were isolated, and single-cell suspensions were prepared for ICAM-1 staining on CD4+ or CD11b+ cells and analyzed by flow cytometry. Data shown are representative of 3 identical experiments. Autoantigen-specific iPSC-Tregs can migrate to the pancreas and produce a large amount of suppressive cytokines. In BDC2.5/NOD mice, FoxP3 was highly expressed in insulitic lesions where the function was impaired due to alterations in their gene expression profile (21, 22). We previously showed that the iPSC-Tregs exhibited a similar expression of Treg signature genes and produced IL-10 and TGF-β (12). In the current study, we observed very few numbers of FoxP3-expressing T cells in the pancreases of diabetic mice, and these cells did not secret IL-10 and TGF-β, which are the two key cytokines that are the hallmark for functional Tregs and secreted by activated and functional Tregs. We further showed that the pancreatic CD4+ T cells from mice receiving autoantigen-specific iPSC-Tregs produced substantially more IL-10 (66.1% vs. 12.9% or 15.1%) and TGF-β (5.61% vs. 0.62% or 1.68%), as compared with those from mice receiving control cells (Figure 6). These results support the assumption that autoantigen-specific iPSC-Tregs accumulating in the pancreas can secrete large amounts of suppressive cytokines (IL-10 and TGF-β), reduce the expression of ICAM-1, and prevent the migration of pathogenic CD8+ T cells into the pancreas, thus protecting the pancreas from destruction. Figure 6 Induction of IL-10 and TGF-β by autoantigen-specific iPSC-Tregs. Mice were sacrificed 4 weeks after adoptive cell transfer, and single-cell suspension was prepared from the pancreatic lymph nodes (LNs). Cells were stimulated with plate-coated CD3 and soluble CD28 antibodies and then stained with CD4, TGF-β, and IL-10. The CD4 population was gated, and the production of TGF-β and IL-10 was analyzed. Data shown are representative of 3 identical experiments. Autoantigen-specific iPSC-Tregs can decrease the production of IFN-γby pathogenic immune cells in the diabetic pancreatic islets. Treatment of NOD mice with an anti-IFN-γ monoclonal antibody could block diabetes (23); conversely, overproduction of IFN-γ in pancreatic islets provoked the disease (24). We next determined the secretion of IFN-γ in the diabetic islet. We found more IFN-γ–producing pancreatic CD8 and CD4 T cells in mice receiving control cells (31.4% and 30.4% or 29.7% and 28.6%); by contrast, both of the IFN-γ–producing pancreatic CD8 and CD4 T cells were significantly reduced in mice receiving autoantigen-specific iPSC-Tregs (14.6% and 10.9%) (Figure 7). These results indicate that the autoantigen-specific iPSC-Tregs can protect the islets from destruction by suppressing the secretion of IFN-γ produced by the pathogenic immune cells. Figure 7 Downregulation of IFN-γ by autoantigen-specific iPSC-Tregs in the diabetic pancreatic islets. Mice were sacrificed 4 weeks after adoptive cell transfer, and single cell suspension was prepared from the pancreatic lymph nodes (LNs). Cells were stimulated with plate-coated CD3 and soluble CD28 antibodies, and then stained with CD4, CD8, and IFN-γ for flow cytometric analysis. (A) IFN-γ production in CD4+ or CD8+ population. Data shown are the representative of 3 identical experiments. (B) Quantification of IFN-γ production. Data shown are representative of 3 identical experiments (**P < 0.01; ***P < 0.001, 1-way ANOVA). Discussion We and others have previously reported that adoptive transfer of stem cells has or stem cell–derived Tregs has the ability to suppress the development of autoimmunity in various animal models (11, 12, 25, 26). However, the suppressive mechanisms behind this suppression remain to be fully defined. By investigating the adoptive transfer of autoantigen-specific iPSC-Tregs in a murine model of T1D, we demonstrate that adoptive transfer significantly reduced the high ratio of CD8+ to CD4+ T cells in the pancreases of diabetic mice. We also show a critical role of this transfer in reducing the expression of ICAM-1 in inflamed pancreatic tissues and preventing the accumulation of pathogenic CD8+ T cells in the pancreases and diabetic pathogenesis. We further demonstrate that autoantigen-specific iPSC-Tregs associated with inflamed tissue and protected the islets from destruction through suppressing the production of proinflammatory cytokine IFN-γ. These findings may help us better understand the pathogenesis of autoimmunity in T1D and provide a foundation for therapeutic use of the stem cell–derived tissue-associated Tregs in the treatment of T1D (27). Among animal models of autoimmune diabetes, the NOD mouse is a widely used animal of autoimmune T cell–mediated T1D (spontaneously nonobese diabetic). The NOD mouse model clearly shows the leukocytic infiltration into the pancreatic islets (insulitis) and autoimmune destruction of the pancreatic β cell in female mice (2–4 weeks), which occurs later in male mice (5–7 weeks). Insulitis in NOD mice shows a combination of T cells (both CD4+ and CD8+), B cells (28), and inconstant numbers of macrophages/dendritic cells. In addition, a dominant-negative mutation in the mouse insulin 2 gene (Ins2Akita) produces a severe insulin deficiency syndrome exclusive of autoimmune participation and various transgenes overexpressed in β cells. Moreover, pharmacologically induced T1D (without autoimmunity) by alloxan or streptozotocin produces hyperglycemia in most strains of mice. Several low doses of streptozotocin combing direct β cell toxicity with local inflammation also elicit T1D in a male sex-specific fashion (29). To determine the suppressive mechanisms of stem cell–derived tissue-associated Tregs, we employed a mouse model of T1D by crossing B6-mOVA Tg mice with OT-I TCR Tg mice. Around 8 weeks of age, blood glucose levels were measured in F1 mice. Approximately 20%–40% of the mice were found to be diabetic; one potential explanation for this occurrence is that the OT-I CD8+ T cells may be tolerated during T cell development in the thymuses of F1 mice. As we propose in our model in which mice will develop autoimmune diabetes due to a large amount and the autoreactivity of CD8+ T cells, we activated tissue-associated CD8+ T cells by inoculating VACV-OVA into the mice in which the viruses-induced CD8+ T cells became highly polyfunctional (30). All mice developed diabetes with high blood glucose levels (Supplemental Figure 3) and more urine discharge, for which mice needed additional animal care. In this mouse model of T1D, OVA protein serves as inflamed tissue–associated autoantigen and is highly expressed in the pancreas. OVA-specific CD8+ T cells act as central pathogenic immune cells that accumulate in the pancreas and cause pancreatic β cell destruction and T1D (Figure 2). In addition, in this mouse model of T1D, we observed a non-OVA-specific CD4+ population existing in the pancreas (Figure 3), and these CD4+ T cells produced IFN-γ (Figure 7), which might also involve to the disease pathogenesis. These FoxP3–CD4+ T cells in the pancreas were TCRVα2–/Vβ5–, indicating that T cell activation was not through OVA-specific TCR. Of note, the number of these effector CD4+ T cells was dramatically reduced in mice receiving OVA-specific but not SM1-specific iPSC-Tregs (Supplemental Figure 4). These results also indicate that tissue-associated (OVA-specific) iPSC-Tregs are more effective than nontissue-associated (SM1-specific) iPSC-Tregs. Because of the challenge of VACV-OVA, these non-OVA-specific CD4+ T cells mainly originating from the RIP-mOVA descent may undergo bystander activation (31, 32). However, addition studies are needed on the pathways leading to bystander T cell activation under the condition. Tregs are an important component of self-tolerance, and numerous studies have demonstrated the effects of Tregs on natural and induced autoimmune diseases in various mouse models (33, 34). Targeting Tregs as a treatment for autoimmune disorders is an attractive approach, as there is an emerging consensus that many patients suffering from autoimmune disease have dysfunctional Tregs (35, 36). Given the manageability of murine models, the evidence for Tregs in control of autoimmune diseases has recently become clearer, particularly as a therapeutic intervention. In well-established models of rheumatoid arthritis (37), multiple sclerosis (38), and systemic lupus erythematosus (39), adoptive transfer of polyclonal Tregs could prevent or slow disease progression when administered prior to disease occurrence. In multiple sclerosis, Ag-specific Tregs targeting the disease-associated Ags were highly efficacious in reverting the ongoing disease (8, 40). Specifically, the nonobese T1D NOD.Cd28–/– mouse model deficient in Tregs developed diabetes at an accelerated rate as compared with NOD mice. Injection of NOD Tregs into NOD.Cd28–/– mice could delay and, in some cases, prevent the development of diabetes (41). In the current study, we have confirmed that adoptive transfer of stem cell–derived autoantigen-specific Tregs but not control cells, nonspecific iPSC-Tregs, or nontissue-associated Ag-specific iPSC-Tregs caused a high level of accumulation of these cells in the pancreas and reversed the disease process of autoimmune diabetes in the mouse model of T1D that was caused by pathogenic CD8+ T cells (Figure 4 and Supplemental Figure 3). A small number of Ag-specific iPSC-Tregs was observed in LNs and spleen (Supplemental Figure 5). A possible working mechanism of stem cell–derived autoantigen-specific Tregs is mediated through the secretion of large amounts of suppressive cytokines (e.g., IL-10 and TGF-β) that were identified (Figure 6). Of note, Ag-specific iPSC-Tregs have a functional stability for which we had previously demonstrated in an autoimmune condition (12), and FoxP3 expression in these cells persisted for 6 weeks after adoptive transfer in the diabetic mice (Figure 3). We further show that ICAM-1 (also known as CD54), a member of the Ig-like superfamily of adhesion proteins, plays a critical role in the accumulation of the pathogenic CD8+ T cells in the pancreases of the mice with autoimmune diabetes. ICAM-1 is a cell surface glycoprotein expressed in endothelial cells and some immune cells. ICAM-1 expressed in diabetic pancreatic tissues can bind to integrins of type CD11a/CD18 or CD11b/CD18 on pathogenic CD8+ T cells, and this binding facilitates the accumulation of pathogenic CD8+ T cells in the panaceas. The expression of ICAM-1 in the pancreases of diabetic mice is much higher than that in normal mice. In contrast, in the pancreases of diabetic mice, the adoptive transfer of autoantigen-specific iPSC-Tregs can dramatically reduce the expression of ICAM-1. This cell transfer can also reduce the accumulation of autoreactive CD8+ T cells in the pancreases and eventually protect the pancreatic β cells from further devastation (Figure 5). This conclusion is in line with those of previous studies showing that the expression of ICAM-1 is critical for the development of experimental autoimmune encephalomyelitis (42, 43). The role of IFN-γ, a prototypical Th1 cytokine, has been appreciated in the development of T1D, because the treatment of NOD mice with an anti-IFN-γ monoclonal antibody prevented the development of the autoimmune diabetes (23, 24). We detected an elevated amount of IFN-γ in both effector CD8 and CD4 T cells of the diabetic islets and showed that adoptive transfer of stem cell–derived autoantigen-specific Tregs markedly decreased the production of the proinflammatory cytokine in the pathogenic T cells. We demonstrated that the autoantigen-specific iPSC-Tregs protected the islets from mass destruction via suppressing the production of pathogenic IFN-γ (Figure 7). As other proinflammatory cytokines, such as IL-21 (44), IL-17 (45), TNF-α (46), and IL-1β (47) also play roles in the pathogenesis of T1D, studies on these proinflammatory cytokines would be needed to better exploit the stem cell–derived tissue-associated Tregs as a therapeutic approach against autoimmune disorders. The Tg model used in this study highly expressed OVA as surrogate autoantigen and received approximately 2 million of OVA-specific iPSC-Tregs for the treatment, which may be much higher than in the clinical setting with diverse low-abundance target peptides. However, the understanding of islet Ags has previously resulted in translation into new strategies by targeting tissue-specific immune interventions to prevent disease progression as well as to reverse T1D. A big advantage of our approach is the development of large numbers of autoantigen-specific nTreg-like suppressive cells (Figure 1 and Supplemental Figures 1 and 2), which can accumulate in the inflamed tissues and suppress local pathogenic immune cells. In addition, the stem cell–derived Tregs maintain stability for up to 3 months (11, 12), because the overexpression of FoxP3 has the ability to suppress the potential switch of Tregs to Th17 cells. Of note, the selection of optimal autoantigens for the development of tissue-associated Tregs is critical for the success of the Treg-based T1D immunotherapy. Taken together, the current study provides insight into the mechanisms by which stem cell–derived tissue-associated Tregs suppress autoimmunity in T1D and suggests that stem cell–derived autoantigen-specific Tregs have a great potential to be adapted as an immunotherapy for T1D. Methods Cell lines and mice. The mouse iPS-MEF-Ng-20D-17 cell line was obtained from the RIKEN Cell Bank (48). The OP9-DL1/DL4/I-Ab cell line was generated by a retroviral transduction of the OP9 cells (12). The SNL76/7 cell line (ATCC SCRC-1049) was purchased from ATCC. C57BL/6 (B6), Rag1–/–, B6 mOVA RIP (RIP-mOVA) Tg, and OT-I TCR Tg mice were purchased from The Jackson Laboratory. Cell culture. iPSCs were maintained on feeder layers of irradiated SNL76/7 cells in 6-well culture plates (Nunc) and were passaged every 3 days (48). Retroviral transduction and generation of OVA-specific iPSC-Tregs. cDNA for FoxP3 with OVA 322–339 (ISQAVHAAHAEINEAGR)-specific I-Ab-restricted TCR genes (Vα2 and Vβ5; obtained from Dario A. Vignali, University of Pittsburgh, Pittsburgh, Pennsylvania, USA) or LCMV (SMARTA1; SM1) gp61 (GLKGPDIYKGVYQFKSVEFD)-specific I-Ab-restricted TCR genes (Vα2 and Vβ8; obtained from Matthew A. Williams, University of Utah, Salt Lake City, Utah, USA) was used for retroviral transduction of mouse iPSCs and the generation of OVA- or SM1-specific iPSC-Tregs (12). Antibodies. PE-, PE/Cy7-, Alexa Fluor 647–, APC-, or APC/Cy7-conjugated anti-mouse TCRVβ5 (MR9-4), CD4 (GK1.5), CD11b (M1/70), TGF-β1 (TW7-16B4), and FoxP3 (MF-14) were obtained from Biolegend. FITC- or PE-conjugated anti-mouse CD8 (6A242) was obtained from Santa Cruz Biotechnology. APC-conjugated IL-10 (JES5-16E3) was purchased from BD Biosciences. Rabbit insulin antibody (C27C9; 3014) was purchased from Cell Signaling and anti-ICAM1 (YN1/1.7.4; ab25375) antibody was obtained from Abcam. Flow cytometric analysis. T cells from the pancreatic LNs were collected and intracellular IL-10 and TGF-β were analyzed by flow cytometry after gating on live CD4+ or CD8+ cells. RT-PCR. MiDR OTII 2A FoxP3-transduced mouse iPSCs were cocultured with OP9-DL1-DL4-I-Ab in the presence of mFlt-3L for 7 days. Differentiated iPSCs were separated and adoptively transferred into Rag1–/– mice. Mice were housed for 6 weeks for in vivo maturation of the iPSC-Tregs. Six weeks later, spleens and LNs were collected from normal B6 mice and cell transferred Rag1–/– mice. CD4+CD25+ cells were sorted and total RNA was extracted from sorted cells using QIAgen RNeasy mini kits. Samples were subjected to reverse transcription using a high-capacity cDNA synthesis kit (Applied Biosystems). PCR analysis was performed by TaqMan real-time PCR (Thermo Fisher Scientific). Ex vivo stimulation assay. Mice were sacrificed 4 weeks after adoptive cell transfer and single-cell suspension was then prepared from the pancreatic LNs. Cells were stimulated with plate-coated CD3 plus soluble CD28 antibodies. Productions of IL-10 and TGF-β were determined by intracellular cytokine staining (12). Murine autoimmune diabetes model. Autoimmune diabetes was induced in F1 mice that were crossed between RIP-mOVA Tg with OT-I TCR Tg mice by i.p. injection with VACV-OVA (2 × 106 PFU/mouse) (49). All of the mice developed diabetes after viral injection. Blood glucose was measured 1 week after the VACV-OVA injection. Blood glucose measurement. Blood glucose levels were determined using a Glucometer Ascensia Elite XL (Bayer). Six hundred milligrams per deciliter is the maximum measurable glucose reading. Mice were typically considered diabetic with readings of >250 mg/dl. Adoptive cell transfer. B6-mOVA Tg × OT-I TCR double-Tg mice (F1) were immunized with VACV-OVA for 1 week. At week 10, OVA-specific pre-iPSC-Tregs or iPSC-derived control cells (3 × 106) were i.v. transferred into diabetic mice. Four to six weeks later, mice were euthanized, and the pancreatic tissues were removed for histopathological examination. Histology and immunohistochemistry. For H&E staining, pancreatic tissues were fixed with 10% neutral formalin solution (VWR), and the fixed samples were prepared and stained as described previously (48). For immunofluorescent microscopy, the pancreatic tissues were frozen in cryovials on dry ice immediately after resection. Cryosectioning and immunofluorescent staining were performed as described previously (48). Statistics. Multiple Student’s 1-tailed t test or 1-way ANOVA or 2-way ANOVA analysis was performed to analyze the differences between the groups, using GraphPad Prism. A P value of less than 0.05 was considered significant. Study approval. The present studies in mice were reviewed and approved by The Texas A&M University Animal Care Committee and were in accordance with the guidelines of the Association for the Assessment and Accreditation of Laboratory Animal Care. Author contributions JS and JMY designed the experiments, analyzed data, and contributed to the writing of the paper. MH, FL, and JKD performed the experiments. DF and SSA provided reagents in the animal model. XX and XR analyzed data. Supplemental material View Supplemental data Acknowledgments JS is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. This work was supported by National Institutes of Health grants R01AI121180, R01CA221867, and R21AI109239 and the American Diabetes Association (1-16-IBS-281 to JS). Footnotes Conflict of interest: The authors have declared that no conflict of interest exists. Copyright: © 2019 American Society for Clinical Investigation Reference information: JCI Insight. 2019;4(7):e126471. https://doi.org/10.1172/jci.insight.126471. References Delovitch TL, Singh B. The nonobese diabetic mouse as a model of autoimmune diabetes: immune dysregulation gets the NOD. Immunity. 1997;7(6):727–738. 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View this article via: PubMed CrossRef Google Scholar Version history Version 1 (February 19, 2019): In-Press Preview Version 2 (April 4, 2019): Electronic publication
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Longitudinal profiling of human blood transcriptome in healthy and lupus pregnancy

Longitudinal profiling of human blood transcriptome in healthy and lupus pregnancy | AUTOIMMUNITY | Scoop.it
Systemic lupus erythematosus carries an increased risk of pregnancy complications, including preeclampsia and fetal adverse outcomes. To identify the underlying molecular mechanisms, we longitudinally profiled the blood transcriptome of 92 lupus patients and 43 healthy women during pregnancy and postpartum and performed multicolor flow cytometry in a subset of them. We also profiled 25 healthy women undergoing assisted reproductive technology to monitor transcriptional changes around embryo implantation. Sustained down-regulation of multiple immune signatures, including interferon and plasma cells, was observed during healthy pregnancy. These changes appeared early after embryo implantation and were mirrored in uncomplicated lupus pregnancies. Patients with preeclampsia displayed early up-regulation of neutrophil signatures that correlated with expansion of immature neutrophils. Lupus pregnancies with fetal complications carried the highest interferon and plasma cell signatures as well as activated CD4+ T cell counts. Thus, blood immunomonitoring reveals that both healthy and uncomplicated lupus pregnancies exhibit early and sustained transcriptional modulation of lupus-related signatures, and a lack thereof associates with adverse outcomes.
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Anti-GAPDH Autoantibody Is Associated with Increased Disease Activity and Intracranial Pressure in Systemic Lupus Erythematosus

Anti-GAPDH Autoantibody Is Associated with Increased Disease Activity and Intracranial Pressure in Systemic Lupus Erythematosus | AUTOIMMUNITY | Scoop.it
Journal of Immunology Research is a peer-reviewed, Open Access journal that provides a platform for scientists and clinicians working in different areas of immunology and therapy. The journal publishes research articles, review articles, as well as clinical studies related to classical immunology,...
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April 5, 2019 2:08 PM
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The central role of nucleic acids in the pathogenesis of systemic lupus erythematosus - F1000Research

Systemic lupus erythematosus (SLE) is a prototypic autoimmune disease whose pathogenesis can be conceptualized by a model based on a central role for immune complexes (ICs) between antinuclear antibodies and nucleic acids.
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Predictors of fatigue and severe fatigue in a large international cohort of patients with systemic lupus erythematosus and a systematic review of the literature | Rheumatology | Oxford Academic

Predictors of fatigue and severe fatigue in a large international cohort of patients with systemic lupus erythematosus and a systematic review of the literature | Rheumatology | Oxford Academic | AUTOIMMUNITY | Scoop.it
AbstractObjective. Fatigue is reported in up to 90% of patients with SLE. This study was conducted to identify the determinants associated with fatigue in a la
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March 19, 2019 10:26 AM
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Frontiers | Editorial: Systemic Lupus Erythematosus and Antiphospholipid Syndrome | Immunology

Systemic lupus erythematosus (SLE) and anti-phospholipid syndrome (APS) are frequently discussed together and perceived as two closely related diseases (1). Indeed, up to 40% of SLE patients test positive for phospholipid antibodies (aPL) and a significant proportion of patients with primary APS (i.e. with no associated SLE or other autoimmune diseases) have circulating antinuclear (ANA) and dsDNA/chromatin antibodies (2). Patients with primary APS and SLE share lupus susceptibility genes, yet patients with primary APS do not develop complete SLE even after ten years of follow-up suggesting a more complex link between the two entities. (2-4). Indeed, SLE and APS are distinct entities within the spectrum of systemic autoimmune diseases.In this collection five manuscripts (5-9) report pathogenic pathways which appear to operate primarily in patients with SLE. The discussed mechanisms (macrophage differentiation via LXR, association of DNA methylation with SLE triggering and clinical manifestations, IFN-Inducible Protein 16 as an inflammasome regulator in lupus pathogenesis, endonucleotidase in lupus autoimmunity and vascular damage, up-regulation of TLR7-mediated IFN production) suggest that multiple heterogeneous pathways operate preferentially in patients with SLE rather than in patients with primary APS. For example, the clinical and histological characteristics of renal involvement in patients with APS definitely differentiate the two entities. In particular,
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March 14, 2019 9:10 AM
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Hypomethylation of STAT1 and HLA-DRB1 is associated with type-I interferon-dependent HLA-DRB1 expression in lupus CD8+ T cells

Hypomethylation of STAT1 and HLA-DRB1 is associated with type-I interferon-dependent HLA-DRB1 expression in lupus CD8+ T cells | AUTOIMMUNITY | Scoop.it
Objective We examined genome-wide DNA methylation changes in CD8+ T cells from patients with lupus and controls and investigated the functional relevance of some of these changes in lupus. Methods Genome-wide DNA methylation of lupus and age, sex and ethnicity-matched control CD8+ T cells was...

Via Krishan Maggon
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Evolving and expanding scope of lupus-inducing drugs

Evolving and expanding scope of lupus-inducing drugs | AUTOIMMUNITY | Scoop.it
Drug-induced lupus (DIL) is a side effect of long-term treatment with various medications, an idiosyncratic adverse drug reaction (ADR) that has been documented for some seven decades. While symptoms can be severe, DIL, unlike systemic lupus erythematosus (SLE), is fully reversible simply by...
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42 new drugs?

  1. Arnaud L
. Drug-induced systemic lupus: revisiting the ever-changing spectrum of the disease using the World Health organization phamacovigilance database. Ann Rheum Dis 2019;78:504–8.
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Immune cell metabolism in autoimmunity - Teng - - Clinical & Experimental Immunology - Wiley Online Library

Summary Immune metabolism is a rapidly moving field. While most of the research has been conducted to define the metabolism of healthy immune cells in the mouse, it is recognized that the overactive immune system that drives autoimmune diseases presents metabolic abnormalities that provide therapeutic opportunities, as well as a means to understand the fundamental mechanisms of autoimmune activation more clearly. Here, we review recent publications that have reported how the major metabolic pathways are affected in autoimmune diseases, with a focus on rheumatic diseases. Introduction The connection between cellular metabolism and immune activation was first established when it was shown that activation of T cells through the engagement of the co‐stimulatory receptor CD28 triggered glycolysis through the phosphoinositide‐3‐kinase (PI3K) pathway 1 (Fig. 1). A few years later, it was shown that the ligation of the B cell receptor activated the same pathway, and that glycolysis was required for B cell activation and differentiation 2 (Fig. 2). The next decade has seen an explosive growth of research in immunometabolism that has defined nutrient utilization and cellular processes to sustain the unique energy biosynthetic needs of immune cells to achieve rapid growth and to perform effector functions upon challenge with pathogens 3. While most of the research has characterized the metabolism of healthy immune cells, it has been rapidly recognized that the overactive immune system that drives autoimmune diseases presents metabolic abnormalities that provide therapeutic opportunities 4, 5. Exploiting the intricately dysregulated metabolic networks in cancer is being considered to develop therapeutic approaches that would either starve tumor cells or boost the immune system 6, 7. Reviews have been recently published focusing on rheumatic diseases 8, rheumatoid arthritis (RA) 9 and systemic lupus erythematosus (SLE) 10, two autoimmune diseases for which the field of immunometabolism is the most advanced. Here, we review recent publications that have reported how the major metabolic pathways are affected in autoimmune diseases, with a focus on rheumatic diseases. The yin and yang regulation of autoimmunity by MTOR and AMPK Mammalian target of rapamycin (mTOR) and AMP‐activated protein kinase (AMPK) are metabolic sensors that play a major role in immune cell functions 11. Activated AMPK inhibits adenosine triphosphate (ATP)‐consuming processes, such as protein synthesis while enhancing ATP‐producing processes, such as fatty acid oxidation (FAO) and glucose uptake 12. Activated AMPK inhibits mTOR activation, which promotes energy‐consuming processes. mTOR signaling is mediated by two multimeric complexes, mTOR complex 1 (mTORC1) and mTORC2, which share the catalytic subunit mTOR but are distinguished by the scaffold proteins regulatory‐associated protein of mTOR (RAPTOR) and rapamycin‐insensitive companion of mammalian target of rapamycin (RICTOR), respectively. Activation of both complexes promote glucose metabolism, linking mTORC and glycolysis. Direct modulation of glucose metabolism through over‐expression of glucose transporter 1 (Glut1) enhances follicular helper T (Tfh) cell differentiation and leads to autoimmunity 13. mTOR activation promotes the differentiation of T helper type 1 (Th1), Th17 14 and Tfh T cells 13, three effector subsets that are expanded in lupus 15, 16. mTOR activation plays a more complex role in regulatory T cell (Treg) differentiation and function by preventing the generation of long‐lived central Tregs, but promoting the generation of effector Tregs 17. Treg‐specific deletion of mTOR reduced their frequency, leading to spontaneous effector T cell activation and inflammation 18. Deletion of Lkb1 in Tregs, the upstream kinase of AMPK and a well‐known sensor of metabolic stress, resulted in dysfunctional Tregs and the development of a Th2‐dominant severe autoimmune phenotype 19, 20. Deletion of PP2A in Tregs, a serine‐threonine phosphatase involved in the development SLE by regulating the production of interleukin (IL)‐2 and IL‐17 in CD4+ T cells 21, resulted in increased mTORC1 activation and a severe, multi‐organ autoimmune disorder 22. These results indicated that while mTOR activity is required for Treg development and function, its level of activation has to be kept in check by protein phosphatase 2 (PP2A), and possibly other mechanisms. The function and differentiation of follicular regulatory T cells (Tfr), a Treg subset that suppresses germinal center (GC) B cells and Tfh cells, is also mTORC1‐dependent 23. These results suggest that T cell differentiation of most T cell subsets is mTOR‐dependent and aberrant expression of mTOR might lead to autoimmunity. CD4+ T cells from lupus patients present a high level of mTOR activation that is directly implicated in the disease process 24. Indeed, treatment with sirolimus, an mTOR inhibitor, reduced disease activity in refractory lupus patients 25. Intriguingly, the therapeutic response in these patients was best associated with a reduced number of effector memory CD8+ T cells, a subset whose role in lupus pathogenesis is as yet undefined. Tfh cells in the B6.Sle1.Sle2.Sle3 (TC) model of lupus show a high level of mTORC1 activation, which was reduced by the inhibition of glucose metabolism 26. This reduction was associated with a decreased frequency of Tfh cells, GC B cells and autoantibody production. This effectively linked glycolysis, mTORC1 activation and Tfh expansion in lupus. mTOR also plays an essential role in B cell differentiation. In the Roquin mouse model of lupus, activation of AMPK and inhibition of mTOR limited B cell differentiation into GC B and plasma cells, which was associated with a reduced disease activity 27. In SLE patients, high mTOR activation in CD19+ B cells correlates with plasmablast numbers and disease activity 28 (Fig. 2). Conversely, treatment with metformin, which activates AMPK 29, has beneficial effects in lupus patients 30 and in mouse models of lupus 31, 32. Overall, these studies showed that mTOR plays a central role in lupus by affecting multiple cell types. However, these findings should not be generalized to other autoimmune diseases without further studies, in which the AMPK/mTOR pathway has not been explored in detail. Glycolysis Glycolysis refers to the metabolic pathway by which glucose is metabolized. The first common phase of glycolysis is the production of pyruvate. Pyruvate is then either oxidized in the Krebs cycle, leading to the production of up to 38 molecules of ATP per molecule of glucose, or reduced into lactate in either hypoxic conditions or when metabolite intermediates are needed over ATP production, which in this case is limited to two molecules. Glycolysis commonly refers to this lactate end‐point branch of glycolysis, while the other is referred to as glucose oxidative or mitochondrial metabolism. Activation of CD4+ T cells from lupus‐prone mice and SLE patients occurs with high levels of oxygen consumption and oxidation 31, 33. Lupus T cells also display a high level of glycolysis 31, with oxidation representing a major part of glucose utilization 32. Glucose transporters provide the ‘primary first step’ of glycolysis by importing glucose into the cell. The major glucose transporter expressed by T cells is Glut1, which is significantly up‐regulated upon T cell receptor and co‐stimulator CD28 signaling 34. Over‐expression of Glut1 in mice led to the accumulation of activated CD4+ T cells, the production of autoantibodies and a modest immune complex deposition in the glomeruli of aged mice 35. Furthermore, these mice showed increased Tfh and GC B cell numbers, with elevated IL‐21 and immunoglobulin (Ig)A production 13. The combination of 2‐deoxy‐D‐glucose (2DG), a glycolysis inhibitor, and metformin, which inhibits complex I of the mitochondrial electron transport chain 36, reversed lupus pathogenesis in mice 31. While treatment with either metformin or 2DG alone could prevent the development of the disease 32, these results indicate that targeting cellular metabolism could be a potential therapy for lupus and other autoimmune diseases 37. Among the subsets of T cells, Tfh cells from lupus mice are highly glycolytic (Fig. 1), and their expansion as well as that of GC B cells was abrogated by 2DG treatment 26. This glycolytic requirement is restricted to autoreactive Tfh cells, as Tfh cells induced by immunization with a nominal antigen or by infection with influenza virus were not affected by 2DG 26. This suggests that the metabolic requirements of autoreactive CD4+ T cells are unique, which may provide a window of opportunity for their selective elimination. The expansion of Tfh cells was also kept in check by 2DG in the K/BXN model of RA, which indicated that the high glucose requirement of autoreactive Tfh cells is not model‐dependent 38. 2DG‐treated K/BXN mice also showed a reduced disease severity, in association with a decreased T and B cell metabolism and a reduced activation of both adaptive and innate immune cells 38. In the same RA model, reducing glycolysis by targeting hexokinase (HK) showed beneficial effects by decreasing the activation of fibroblast‐like synoviocytes 39. Contrary to murine RA T cells and synoviocytes, glycolysis is reduced in the CD4+ T cells from RA patients, which develop a hyper‐reduced state due to an over‐active pentose phosphate pathway (PPP) 40. The pathogenicity of these T cells can be reduced by diverting the glucose flux away from PPP 41 or with oxidative agents 42. Lactate accumulation has been reported in the synovia of RA patients, which may be secondary to the hypoxic conditions in the inflamed joint. The excess is responsible for the ‘entrapment’ of CD4+ and CD8+ T cells. The expression of lactate transporters on these cells correlates with the clinical T cell score in the synovia of RA patients. Lactate directly inhibits CD4+ T cell motility by interfering with glycolysis activated upon engagement of the chemokine receptor C‐X‐C motif chemokine receptor 3 (CXCR3) with C‐X‐C motif chemokine ligand 10 (CXCL10) 43. These results suggest that blocking lactate production in the RA joint may decrease T cell infiltrates and present therapeutic benefits. Pyruvate dehydrogenase (PDH) promotes the oxidative phosphorylation of pyruvate over the lactate glycolytic pathway. Pyruvate dehydrogenase phosphatase catalytic subunit 2 (PDP2) converts the inactive PDH to its active form. PDP2 expression was decreased in memory Th17 cells from patients with SLE and forced expression of PDP2 in CD4+ T cells from lupus‐prone MRL/lpr mice and patients with SLE‐suppressed Th17 differentiation. This may be due at least partly to the direct control of energy production by the transcription factor‐inducible cAMP early repressor/cAMP response element modulator (ICER/CREM) at the PDH metabolism bifurcation level 44. These results are consistent with the glycolytic requirements of Th17 cells 45 and the expansion of Th17 cells in SLE patients 15. Finally, dimethyl fumarate, a derivative of the Krebs cycle intermediate fumarate that inactivates glyceraldehyde 3‐phosphate dehydrogenase (GAPDH) and therefore inhibits both branches of glycolysis, altered the differentiation and function of Th1 and Th17 cells, attenuating disease in the experimental autoimmune encephalomyelitis (EAE) model of multiple sclerosis 46, stressing again the potentials of glucose metabolic inhibitors to target pathogenic autoreactive T cells. HIF1α, a transcription factor that controls the cellular response to hypoxia, activates the glycolytic pathway and, as such, promotes inflammation 47. HIF1α expression is required for the differentiation of Th17 cells 45, a T cell subset expanded in many autoimmune and inflammatory diseases. Mice with a B cell‐specific deletion of HIF1α have reduced numbers of IL‐10‐producing B cells, which exacerbate collagen‐induced arthritis and EAE 48. HIF1α‐inhibitor echinomycin reduced Th1 and Th17 responses, and attenuated a mouse model of acute graft‐versus‐host disease 49. Moreover, hypoxia induced HIF1α expression as well as signal transducer and activator of transcription (STAT)‐1 and STAT‐3 activation in human RA‐fibroblast‐like synoviocytes (FLS). STAT‐3 knock‐down inhibited HIF1α expression and the hypoxia‐induced cell invasion, migration and cytokine production, indicating a functional link between HIF1α and STAT‐3 in the regulation of proinflammatory mechanisms in RA 50. Prolyl hydroxylase domain (PHD) are enzymes that regulate HIFα levels by promoting its degradation. PHD‐2 is the major hydroxylase regulating HIF levels and the expression of angiogenic genes in RA‐FLS, illustrating the major role played by hypoxia in the RA joint 51. Finally, knocking down HIF1α in myeloid cells ameliorated induced colitis 52. Taken together, targeting glycolysis directly and indirectly may present promising therapeutic venues to treat autoimmune diseases; however, detailed disease‐specific analyses of preclinical models are necessary to understand the cellular targets and specific pathways in glucose flux that are responsible for pathogenesis. Oxidative phosphorylation and fatty acid oxidation In order to produce ATP, enzymes in the electron transport chain (ETC) transfer electrons from donor metabolites to electron acceptors. This is known as oxidative phosphorylation (OXPHOS) 53. In this process, complex I of the ETC, nicotinamide adenine dinucleotide hydrogenase (NADH), oxidizes NADH to nicotinamide adenine dinucleotide (NAD) 54. Succinate dehydrogenase, complex II, oxidizes succinate to fumarate, reducing ubiquinone 55. Ubiquinone is then oxidized by complex III, cytochrome c reductase, which reduces cytochrome c allowing for its oxidation by complex IV, cytochrome oxidase 56, 57. Thus, the design of OXPHOS is to produce ATP by the oxidation and reduction of key metabolites. A number of studies have demonstrated alterations in the OXPHOS and FAO metabolic pathways in autoimmune diseases. As mentioned earlier, T cells from RA patients function in a hyper‐reduced phenotype due to a hyperactive PPP, probably in response to the deficiency of necessary intermediates and the hypoxic environment 5, 9, 58. This is probably a result of oxidative stress from macrophages and other reactive oxygen species (ROS) releasing cells in the symptomatic tissue 59. Contrary to the RA phenotype, SLE T cells are hyper‐oxidative 33. These changes in oxidative profiles may be due in part to genetic predisposition. This hypothesis is supported by the finding that the murine lupus risk allele Esrrg encodes for a nuclear receptor, estrogen‐related receptor gamma (ERRγ), which regulates mitochondrial function and OXPHOS 60. Directly relevant to lupus, type 1 interferon (IFN) induces OXPHOS and FAO in plasmacytoid dendritic cells (pDCs), and this metabolic reprogramming is critical for their activation and amplification of IFN production 61. B cells and other myeloid cells are less well metabolically characterized, and it is not understood if these cell types also have altered OXPHOS or FAO metabolism in autoimmune disease 62. Notably, long‐lived plasma cells, which are a critical component of many antibody‐mediated autoimmune diseases, require mitochondrial import of pyruvate 63. A recent study utilizing several mice models of lupus nephritis demonstrated that kidney‐infiltrating T cells (KITs) present an exhausted phenotype similar to that observed in tumor‐infiltrating lymphocytes 64. Both CD4+ and CD8+ KITs demonstrated substantial loss of their spare respiratory capacity and little to no oxidative phosphorylation. The significance of this finding remains unclear, as CD4+ T cell infiltrates have been associated with lupus nephritis in mouse models 65, 66 and patients 67, 68. Another unexpected finding was the identification of C1q, a member of the complement pathway involved in efferocytosis, as a modulator of mitochondrial metabolism in CD8+ T cells in the chronic graft‐versus‐host‐disease (cGVHD)‐induced model of SLE 69. C1q‐deficiency reduced cGVHD induction and, mechanistically, resulted in the reduction of mitochondrial function in effector memory CD8+ T cells (Fig. 1). These results indicated a novel link between C1q, mitochondrial metabolism and CD8+ T cell effector functions in autoimmunity. OXPHOS may also play an important role in the pathogenesis of RA, according to a recent study showing that the Krebs cycle metabolite succinate is under‐utilized in the adjuvant‐induced arthritis (AIA) model of RA, possibly leading to increased joint inflammation 70. Suncr1, the cognate receptor succinate receptor 1, is an active participant in the innate immune response 71-73, and increased amounts of succinate correlate with disease in AIA 70, 72. Accordingly, Suncr1 deficiency reduced the expansion of pathogenic Th17 cells and AIA severity 70. Succinate is largely used by OXPHOS, which has a reduced activity in the T cells of RA patients and in other autoimmune diseases 74. This reduced OXPHOS probably results in an under‐utilization of succinate which would, in turn, create a microenvironment that increases disease activity. A recent study found, in a small subset of CD4+CXCR3+CXCR5–PD‐1hi, T cells in the blood of SLE patients who have increased ROS due to reverse ETC regulated by succinate 75. These cells provide help to B cells via IL‐10 and succinate, independently of IL‐21. These studies emphasize the importance of the metabolite succinate in rheumatic diseases. Itaconate inhibits succinate dehydrogenase, regulating succinate oxidation to fumarate. Itaconate is one of the most highly produced metabolites in lipopolysaccharide (LPS)‐activated macrophages, in which it has anti‐inflammatory effects 76. Mechanistically, itaconate derivatives can regulate nuclear factor kappa B inhibitor zeta (IκBζ) via activating transcription factor 3 (ATF3), ameliorating IL‐17 IκBζ‐driven inflammation 76. Another study identified that activation of nuclear factor‐like 2 (Nrf2) via Kelch‐like ECH‐associated protein 1 (KEAP1) alkylation could explain the anti‐inflammatory effects exhibited by itaconate 77. Further, cell‐permeable itaconate derivatives decreased cytokine production in macrophages and limited the type I IFN response, indicating a possible therapeutic use for itaconate and its derivatives in IFN‐driven diseases such as SLE 77, 78. FAO represents a major energy source for Treg and memory T cells 79, although a genetic rather than a pharmacological approach has recently challenged this tenet 80. The contribution to FAO to autoimmune diseases has not been well characterized. Elevated levels of adipocyte‐fatty acid binding protein (FABP), which is responsible for facilitating the transport of fatty acids to specific organelles for oxidation, correlate with disease activity in patients with multiple sclerosis (MS) and clinical isolated syndrome 81. Inhibition of FABP prevented EAE in mice 82, providing a possible treatment option to correct this specific metabolic defect that is contributing to immune cell dysfunction in MS‐related diseases. Finally, D‐mannose was found to induce Treg differentiation and decrease the production of inflammatory cytokines, indicating that D‐mannose has the potential to improve autoimmune pathology 83. Mechanistically, D‐mannose promotes transforming growth factor (TGF)‐β production, which is mediated at least in part through ROS produced by increased FAO, an indirect consequence of the inhibitory effect of D‐mannose on glycolysis 83. This study illustrates the complex relationships that exist between metabolic networks and their consequences on immune activation. Finally, glycolysis is required by Treg cells to migrate to the site of inflammation 84. Mechanistically, PI3K‐mTORC2 activation in Treg cells induces the expression of glycokinase, which binds actin and promotes the cytoskeletal remodeling that is necessary for cell migration. This latter finding emphasizes that specific metabolic pathways sustain different aspects of immune function. Branch chain amino acid and glutamine metabolism Amino acids are metabolites used for the biosynthesis of lipids, nucleotides, glutathione, glucosamine and polyamines, as well as in the anaplerosis of the Krebs cycle 85. Moreover, branch chain amino acids (BCAA) and glutamine function as signaling molecules of the cellular metabolic state to activate mTORC1 86. Here, we will focus on BCAAs, especially leucine and glutamine metabolism. The potential contribution of leucine metabolism to autoimmune diseases is largely attributed to its role as a critical checkpoint of mTORC1 signaling and glycolysis, which then control the function of T cells and monocytes/macrophages 87-89. Leucine influx is mediated by solute carrier family 7 member 5 (SLC7A5). Intracellular leucine undergoes reversible transamination by branched‐chain aminotransferase (BCAT) to form α‐ketoisocaproate, which is further metabolized into acetoacetate, then acetyl‐co‐enzyme A (CoA), to be subsequently oxidized in the Krebs cycle. BCAT exists in two isoforms, mitochondrial BCAT2 and cytosolic BCAT1. In human monocyte‐derived macrophages, BCAT1 is the most abundantly expressed BCAT isoform 90. Circulating monocytes from RA patients express higher SLC7A5 levels than cells from healthy controls, and these levels correlate with clinical parameters. Furthermore, blockade of SLC7A5 reduced IL‐1β production in these monocytes 87. Treatment with a selective inhibitor of BCAT1 reduced inflammation and macrophage infiltration in target organs in murine models of RA and crescentic glomerulonephritis 90. Glutamine (Gln) uptake is mediated by ASCT2/SLC1A5. It is converted to glutamate by glutaminase (GLS), followed by the conversion to α‐ketoglutaric acid (αKG) by transaminases or glutamate dehydrogenase 1 (GLUD1), after which αKG enters the Krebs cycle. Isocitrate dehydrogenase (IDH1 and IDH2) produce (D)‐2‐hydroxyglutarate (2HG) from αKG. In the SKG zymosan‐induced model of RA, the proliferation of RA‐FLS was decreased by glutamine but not glucose deprivation 91. Furthermore, Gls1 expression was higher in RA‐FLS than in osteoarthritis‐derived FLS. Accordingly, the administration of a Gls1 inhibitor ameliorated disease symptoms by suppressing FLS proliferation. Similarly, blocking glutaminolysis with the Gls1 inhibitor BPTES [bis‐2‐(5‐phenylactamido‐1,2,4‐thiadiazol‐2‐yl)ethyl sulfide] 92 or with the transaminase inhibitor aminooxyacetic acid (AOA) 93 prevented disease in the EAE model. The regulation of the balance between Th17 and Treg differentiation may underline the role of glutaminolysis in the pathogenesis of autoimmune diseases. Indeed, glutaminolysis is a major source of energy for the generation of Th17 cells 6. Gln deprivation led to the differentiation of activated naïve CD4+ T cells 6 and Th1‐polarized cells 94 into Treg cells. Gln transporter deficiency or depletion of Gln in culture media inhibited both Th1 and Th17 differentiation 95, but blocking the conversion of Gln to glutamate preferentially suppressed Th17 over other T cell subsets 6, 92. Blocking glutamate oxaloacetate transaminase 1 (Got1) also altered the balance between Th17 and Treg cells without affecting Th1 cells 93. However, Gls1 inhibition did not alter the number of Th17 cells and decreased the number of Treg cells in SKG mice 91. The reason for these discrepancies is as yet unclear, but it may include differences between healthy versus inflammatory or autoimmune strains. It may also be due to the role of some metabolic enzymes or metabolites in non‐metabolic pathways. The latter includes a greater accumulation of 2‐hydroxyglutarate (2‐HG) in differentiating Th17 than Treg cells, which promotes the methylation of the Foxp3 locus and silences its expression 91. Limiting glutamate production reversed this process and ameliorated EAE disease by expanding Treg and reducing Th17 cell numbers 92. This highlights the role of glutamine metabolism in epigenetic regulation in addition to energy production. Finally, the role of glutamine metabolism has been recently examined in Tfh cells in the TC model of SLE. Slc1a5 expression was lower in TC Tfh than in congenic non‐autoimmune B6 Tfh cells 26. Contrary to glycolysis, glutaminolysis inhibition greatly reduced immunization‐induced as well as autoimmune humoral responses. This diminished Tfh function, in both lupus‐prone and non‐autoimmune mice 26, indicating that it required for the development of germinal centers. Lipid synthesis De‐novo FA synthesis starts from the generation of malonyl‐CoA from acetyl‐CoA by the rate‐limiting enzyme acetyl‐CoA carboxylase (ACC1) 96. Subsequent steps and FA elongation require fatty acid synthase (FAS), stearoyl‐CoA desaturase (SCD) and the FA‐co‐enzyme A ligase family to generate diacetyl‐ and triacetyl‐glycerols and long‐chained FA 97. Most of the de‐novo synthesized FA are incorporated into phospholipids for membrane biogenesis and localize to lipid rafts to participate in crucial membrane‐based processes 98, while some form lipid droplets 99. Pathogenic T cells in RA patients are characterized by increased FA synthesis leading to the formation of cytoplasmic lipid droplets. The inhibition of FA synthesis corrected the pro‐arthritogenic tissue‐invasiveness of these T cells 100. FA, in the form of triglycerides, phosphoglycerides or sphingolipids, are directly involved in T cell activation and proliferation as key components of cell membranes, signaling molecules and energy‐yielding substrates. T cell‐specific deletion of ACC1 severely impaired the accumulation of antigen‐specific CD8+ T cell due to activation‐induced cell death. Furthermore, exogenous FA rescued defective blasting and survival of ACC1‐deficient CD8+ T cells in vitro 101. These results may provide insights for therapeutic targets to either increase or decrease CD8+ T cell activity. Th17 cell induction results in increased levels of mRNA and phosphorylated ACC1 and ACC2 proteins. Pharmacological inhibition or T cell‐specific deletion of ACC1 restrained the formation of human and mouse Th17 cells and promoted the induction of Treg cells, which attenuated Th17 cell‐mediated EAE 102. Inhibition of fatty acid synthase (FASN) also reduced EAE severity, with direct evidence from adaptive transfer that this effect is Th17‐dependent. However, FASN inhibition also promoted IFN‐γ production by Th1 and Th1‐like Th17 cells, which is different from the effect of ACC inhibition 103. The specific mechanisms by which FA synthesis regulates CD8+ T cell survival or inflammatory CD4+ T cell polarization have not yet been elucidated. Glycophingolipids (GSLs) are a key constituent of lipid rafts that have been implicated in lupus pathogenesis. CD4+ T cells from SLE patients present elevated GSL levels due to increased synthesis and altered trafficking 104. Normalization of GSL metabolism in these T cells normalized their function. In addition, activated T cells from SLE patients show a reduced induction of BTLA, an inhibitory receptor similar to cytotoxic T lymphocyte antigen (CTLA)‐4 and programmed death 1 (PD1) 105. The capacity of BTLA to restrain T cell activation in SLE is impaired, which could be due to poor BTLA recruitment to the immunological synapse. In support of this hypothesis, a glucosylceramide synthase inhibitor that normalized lipid metabolism restored BTLA inhibition. The dissociation of preclustered T cell receptor (TCR) molecules in the presence of this inhibitor allowed BTLA recruitment to TCR clusters directly linking GSL homeostasis to intracellular trafficking of components of the TCR 105. Cholesterol homeostasis Cholesterol homeostasis is maintained through the sophisticated balance between its synthesis, import and elimination of excessive cholesterol from the cells. Cholesterol is synthesized by endoplasmic reticulum‐bound 3‐hydroxy‐3‐methylglutaryl‐CoA reductase (HMGCR), which is controlled by the transcription factor sterol regulatory element‐binding protein (SREBP) 106. Apolipoprotein E (ApoE) and low‐density lipoprotein receptor (LDLR) contribute to the recycling and intercellular transport of cholesterol. ApoA1 and high‐density lipoproteins (HDL) mediate the efflux of cholesterol from immune cells via liver X receptor (LXR)‐regulated genes, such as ABCA1 and ABCG1. Cholesterol plays a key role in the regulation of immune responses through at least three mechanisms. First, cholesterol is required for membrane synthesis during cell expansion. Secondly, cholesterol is a key constituent of lipid rafts; thus, any changes in cholesterol content modify raft‐dependent signaling of major immune pathways such as Toll‐like receptors (TLRs), major histocompatibility complex (MHC), TCRs and B cell receptors (BCRs) 107-109. Finally, type I IFN reprograms lipid metabolism, including a decreased synthetic and increased import of cholesterol 110. Interestingly, ApoE is bound not only to plasma lipoproteins but is also present on immune cell membranes 111. ApoE deficiency in DCs impaired the removal of cholesterol from the membrane, resulting in lipid raft accumulation, enhanced MHC‐II clustering on the membrane and increased antigen presentation. This, in turn, expanded proinflammatory CD4+ T cells and enhanced skin allograft rejection, independently of dyslipidemia 112. Atherogenic dyslipidemia caused by a Western diet in ApoE or LDLR‐deficient mice increased the production of autoantibodies and the severity of lupus by expanding the number of Tfh cells 113. A novel mechanism was identified by which dyslipidemia induces IL‐27 production by DCs, which in turn expands Tfh cell responses and GC reactions to lupus‐associated self‐antigens 113. The levels of IL‐27 were increased in patients with hypercholesterolemia, while blocking IL‐27 in atherogenic mice reduced autoantibodies and Tfh cells to levels similar to those of control mice. An almost complete absence of HDL due to ApoA1 deletion induced autoimmune phenotypes, characterized by cholesterol‐engorged, enlarged lymph nodes, anti‐dsDNA autoantibodies and increased T cell activation 114, suggesting a link between cellular cholesterol accumulation and autoimmunity. Mice lacking LXRs exhibit an age‐dependent systemic autoimmune disease, and pharmacological activation of LXRs attenuated disease progression in a mouse model of lupus 115. Transcriptional induction of Abca1 expression by LXRs promotes cholesterol efflux and alters plasma membrane cholesterol distribution. Mice with Abca1/g1 deficiency presented lymphadenopathy and glomerulonephritis 116, 117. Interestingly, autoimmune activation in these mice was due to the specific deficiency of these transporters in DCs (Fig. 1). Abca1/g1‐deficient DCs showed an activated inflammasome, increased proliferation and cytokine secretion. These led to the expansion of Th1, Th17 and Tfh cells, GC B cells and plasma cells, all changes which have been implicated in the pathogenesis of SLE 117. Macrophages lacking the ABC transporters Abca1 and Abcg1 showed an increased TLR cell surface expression and enhanced inflammatory responses to LPS 118, while Abcg1‐deficient T cells show enhanced TCR signaling and proliferation 119. None of these studies in macrophages and T cells have reported autoimmune phenotypes. The mechanisms responsible for cell‐specific consequences of cholesterol efflux are not clear at present. Conclusions Immune metabolism is a rapidly moving field. Earlier studies have proposed a simple model in which activated effector immune cells switched from mitochondrial respiration to aerobic glycolysis relying on an increased glucose import 120. More recent studies have demonstrated that glutamine and fatty acid utilization provided additional layers of metabolic reprogramming with functional consequences in immune cells. Additional levels of complexity have been uncovered. Altered metabolic pathways in one immune‐mediated disease cannot be automatically expanded to another immune‐mediated disease, as outlined in this review, with CD4+ T cells in SLE and RA at opposite poles of the oxidation spectrum. Metabolic reprogramming is cell type‐specific; for example, pDC activation by type I IFN relying on FAO instead of glycolysis 61, a process that has not been found in other types of DCs. Some metabolic enzymes may regulate immune function through mechanisms only indirectly linked to metabolism, such as GAPDH regulating IFN‐γ production 121. In addition, some metabolites such as succinate or itaconate show previously unsuspected anti‐inflammatory effects 122. Finally, mitochondria emerge as central players in immune responses, not only through the generation of these metabolite intermediates, but also by regulating ATP and ROS production through the fusion and fission processes, providing a platform for retinoic acid‐inducible gene I protein (RIG‐I) and nucleotide‐binding oligomerization domain‐like receptor family, pyrin domain‐containing‐3 (NRLP‐3) inflammasome signaling. Directly related to autoimmunity, mitochondria are a source of highly immunogenic mitochondrial DNA 123. The majority of these ground‐breaking studies have been conducted in normal mice, with only a few in models of autoimmune diseases, and even fewer in patients with autoimmune diseases as reported in this review. There are, however, reasons to believe that research in immunometabolism will have a significant long‐lasting impact in the field of autoimmunity. First, a clearer understanding of the specific nature of metabolic dysregulation in autoimmunity may provide much‐needed novel mechanistic insights into the nature of autoimmune activation. Secondly, these studies may lead to additional therapeutic tools, either alone or in combination with standard of care approaches. The metabolism of immune cells is already targeted by a drug commonly used by rheumatologists, methotrexate, which interferes with 1‐Carbon metabolism 124. Furthermore, mTOR inhibitors and metformin show promising results in SLE 25, 30. It would also be of great interest to explore the metabolic consequences of current treatments used or tested by rheumatologists to have a clearer understanding of the mechanisms by which drugs or biologics modulate the immune system effectively or not through altered metabolism. Preclinical studies guided by the results obtained in normal mice, as well as in‐depth characterization on the metabolic signatures of effector cells in patients with autoimmune diseases, are urgently needed to make significant strides in this direction. Acknowledgements This publication is supported by grants from the NIH (R01AI045050 and R01 AI128901) and from the Alliance for Lupus Research (TIL‐416522) to L. M. Disclosures None. References
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