Genome-wide association studies (GWASs) have identified hundreds of susceptibility genes, including shared associations across clinically distinct autoimmune diseases. We performed an inverse χ2 meta-analysis across ten pediatric-age-of-onset autoimmune diseases (pAIDs) in a case-control study including more than 6,035 cases and 10,718 shared population-based controls. We identified 27 genome-wide significant loci associated with one or more pAIDs, mapping to in silico–replicated autoimmune-associated genes (including IL2RA) and new candidate loci with established immunoregulatory functions such as ADGRL2, TENM3, ANKRD30A, ADCY7 and CD40LG. The pAID-associated single-nucleotide polymorphisms (SNPs) were functionally enriched for deoxyribonuclease (DNase)-hypersensitivity sites, expression quantitative trait loci (eQTLs), microRNA (miRNA)-binding sites and coding variants. We also identified biologically correlated, pAID-associated candidate gene sets on the basis of immune cell expression profiling and found evidence of genetic sharing. Network and protein-interaction analyses demonstrated converging roles for the signaling pathways of type 1, 2 and 17 helper T cells (TH1, TH2 and TH17), JAK-STAT, interferon and interleukin in multiple autoimmune diseases.
Autoimmune diseases (AIDs) are polygenic diseases affecting 7–10% of the population in the Western Hemisphere with few effective therapies. Here, we quantify the heritability of paediatric AIDs (pAIDs), including JIA, SLE, CEL, T1D, UC, CD, PS, SPA and CVID, attributable to common genomic variations (SNP-h2). SNP-h2 estimates are most significant for T1D (0.863±s.e. 0.07) and JIA (0.727±s.e. 0.037), more modest for UC (0.386±s.e. 0.04) and CD (0.454±0.025), largely consistent with population estimates and are generally greater than that previously reported by adult GWAS. On pairwise analysis, we observed that the diseases UC-CD (0.69±s.e. 0.07) and JIA-CVID (0.343±s.e. 0.13) are the most strongly correlated. Variations across the MHC strongly contribute to SNP-h2 in T1D and JIA, but does not significantly contribute to the pairwise rG. Together, our results partition contributions of shared versus disease-specific genomic variations to pAID heritability, identifying pAIDs with unexpected risk sharing, while recapitulating known associations between autoimmune diseases previously reported in adult cohorts.
Common variable immunodeficiency disorder (CVID) is the most common symptomatic primary immunodeficiency in adults, characterized by B cell abnormalities and inadequate antibody response. CVID patients have considerable autoimmune comorbidity and we therefore hypothesized that genetic susceptibility to CVID may overlap with autoimmune disorders. Here, in the largest genetic study performed in CVID to date, we compare 778 CVID cases with 10,999 controls across 123,127 single nucleotide polymorphisms (SNPs) on the Immunochip. We identify the first non-HLA genome-wide significant risk locus at CLEC16A (rs17806056, P=2.0×10−9) and confirm the previously reported human leukocyte antigen (HLA) associations on chromosome 6p21 (rs1049225, P =4.8×10−16). Clec16a knock down (KD) mice showed reduced number of B cells and elevated IgM levels compared to controls, suggesting that CLEC16A may be involved in immune regulatory pathways of relevance to CVID. In conclusion, the CLEC16A associations in CVID represent the first robust evidence of non-HLA associations in this immunodeficiency condition.
T cells modified to express chimeric antigen receptor (CAR) targeting CD19 (CD19CAR) have produced remarkable clinical responses in patients with relapsed/refractory B-cell acute lymphoblastic leukemia. CD19CAR T-cell therapy has also demonstrated prominent effects in B-cell non-Hodgkin lymphoma (B-NHL) patients. However, a subset of patients who relapse after CD19CAR T-cell therapy have outgrowth of CD19− tumor cells. Hence, development of alternative CARs targeting other B-cell markers represents an unmet medical need for B-cell acute lymphoblastic leukemia and B-NHL. Here, we confirmed previous data by showing that, overall, B-NHL has high expression of CD37. A second-generation CD37CAR was designed, and its efficacy in T cells was compared with that of CD19CAR. In vitro assessment of cytotoxicity and T-cell function upon coculture of the CAR T cells with different target B-cell lymphoma cell lines demonstrated comparable efficacy between the 2 CARs. In an aggressive B-cell lymphoma xenograft model, CD37CAR T cells were as potent as CD19CAR T cells in controlling tumor growth. In a second xenograft model, using U2932 lymphoma cells containing a CD19− subpopulation, CD37CAR T cells efficiently controlled tumor growth and prolonged survival, whereas CD19CAR T cells had limited effect. We further show that, unlike CD19CAR, CD37CAR was not sensitive to antigen masking. Finally, CD37CAR reactivity was restricted to B-lineage cells. Collectively, our results demonstrated that CD37CAR T cells also can effectively eradicate B-cell lymphoma tumors when CD19 antigen expression is lost and support further clinical testing for patients with relapsed/refractory B-NHL.
These results suggest that pediatric CVID is not a distinct phenotype. Major features were comparable across the groups. This study underscores the need for continued longitudinal study of pediatric and early-onset CVID patients to further characterize accrual of features over time.
TGF-beta1 is a powerful regulator of various T-cell functions. However, it has been unclear how the T-cell responsiveness towards TGF-beta1 is affected by its phenotype or signaling intensity. In the present study, we demonstrate that the phenotype and the TCR-signaling intensity of the responding T-cell as well as the presence of anti-CD28 co-stimulation markedly affects how naïve human cord blood T-cells respond to TGF-beta1. In this report we demonstrate that the strength of the stimulatory signal modifies the T-cell response towards TGF-beta1. Thus, the greatest anti-proliferative effect of TGF-beta1 was observed during weak stimulatory conditions (low dose of anti-CD3 with no co-stimulatory signal). However, such anti-proliferative effect was reduced during strong stimulatory signal (high dose of anti-CD3 with a CD28-directed co-stimulatory signal). In addition, our results indicate that CD8+ T-cells are generally more responsive towards TGF-beta1 than CD4+ T-cells. To our surprise, naïve T-cells had a skewed Th1/Tc1 cytokine secretion pattern with high amounts of IL-2, IFNgamma and TNFalpha, but low amounts of IL-4, IL-5 and IL-10. TGFbeta1 significantly reduced the secretion of IL-2 and IFNgamma, but such suppression was partially prevented by anti-CD28-induced co-stimulation. In contrast, the inhibitory effect on IL-5 secretion was unaffected by anti-CD28 co-stimulation. Interestingly, TGF-beta1 induced IL-10 and TNFalpha secretion. However, the induction of IL-10 secretion was reduced during optimal stimulatory conditions while TGF-beta1 further induced TNFalpha secretion. These data demonstrate that the duration, intensity and type of signaling alters the sensitivity of T-cells to powerful immunological modifying agents like TGF-beta1.
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