The emergence of tumor necrosis factor-α (TNF-α)-targeted therapies as a key therapeutic option for patients with rheumatic, digestive, and dermatologic autoimmune diseases has been associated with increasing reports of liver damage in patients with hepatitis B virus (HBV) infection. We studied the current evidence on the use of anti-TNF agents in patients with HBV through a systematic analysis of cases reported in the MEDLINE and EMBASE databases using the MeSH term "hepatitis B virus" combined with the terms "infliximab," "etanercept," "adalimumab," "certolizumab," "golimumab," and "anti-TNF agents," and summarize the results here. We analyzed 257 patients with positive HBV markers who received anti-TNF therapy (255 identified in the search strategy and 2 new cases), 89 HBsAg+ carriers, and 168 anti-HBc+ persons. HBV reactivation was reported in 35 (39%) HBsAg+ carriers. The percentage of reactivation was higher in patients previously treated with immunosuppressive agents (96% vs. 70%, p=0.033) and lower in those who received antiviral prophylaxis (23% vs. 62%, p=0.003). Acute liver failure was reported in 5 patients, 4 of whom died. Infliximab was associated with a higher rate of induced liver disease (raised transaminase levels, clinical signs, viral reactivation, and acute liver failure) compared with etanercept. In anti-HBc+ persons, reactivation was reported in 9 (5%) cases, including 1 patient who died due to fulminant liver failure.In summary, our search of the current evidence identified 257 reported HBV+ patients treated with anti-TNF agents, with a significant percentage of liver damage in HBsAg+ carriers, including raised transaminase levels (42%), signs and symptoms of liver disease (16%), reappearance of serum HBV-DNA (39%), and death related to liver failure (5%). The rate of reactivation in anti-HBc+ persons was 7-fold lower than in HBsAg+ carriers. The increasing number of reported cases of HBV reactivation following TNF-targeted therapies and the associated morbidity and mortality demand specific preventive strategies.

The aim of this study was to determine, through a genome-wide association study (GWAS), the genetic components contributing to different clinical sub-phenotypes of systemic sclerosis (SSc). We considered limited (lcSSc) and diffuse (dcSSc) cutaneous involvement, and the relationships with presence of the SSc-specific auto-antibodies, anti-centromere (ACA), and anti-topoisomerase I (ATA). Four GWAS cohorts, comprising 2,296 SSc patients and 5,171 healthy controls, were meta-analyzed looking for associations in the selected subgroups. Eighteen polymorphisms were further tested in nine independent cohorts comprising an additional 3,175 SSc patients and 4,971 controls. Conditional analysis for associated SNPs in the HLA region was performed to explore their independent association in antibody subgroups. Overall analysis showed that non-HLA polymorphism rs11642873 in IRF8 gene to be associated at GWAS level with lcSSc (P = 2.32×10−12, OR = 0.75). Also, rs12540874 in GRB10 gene (P = 1.27 × 10−6, OR = 1.15) and rs11047102 in SOX5 gene (P = 1.39×10−7, OR = 1.36) showed a suggestive association with lcSSc and ACA subgroups respectively. In the HLA region, we observed highly associated allelic combinations in the HLA-DQB1 locus with ACA (P = 1.79×10−61, OR = 2.48), in the HLA-DPA1/B1 loci with ATA (P = 4.57×10−76, OR = 8.84), and in NOTCH4 with ACA P = 8.84×10−21, OR = 0.55) and ATA (P = 1.14×10−8, OR = 0.54). We have identified three new non-HLA genes (IRF8, GRB10, and SOX5) associated with SSc clinical and auto-antibody subgroups. Within the HLA region, HLA-DQB1, HLA-DPA1/B1, and NOTCH4 associations with SSc are likely confined to specific auto-antibodies. These data emphasize the differential genetic components of subphenotypes of SSc.

Systemic sclerosis (SSc) is an autoimmune disease that shows one of the highest mortality rates among rheumatic diseases. We perform a large genome-wide association study (GWAS), and meta-analysis with previous GWASs, in 26,679 individuals and identify 27 independent genome-wide associated signals, including 13 new risk loci. The novel associations nearly double the number of genome-wide hits reported for SSc thus far. We define 95% credible sets of less than 5 likely causal variants in 12 loci. Additionally, we identify specific SSc subtype-associated signals. Functional analysis of high-priority variants shows the potential function of SSc signals, with the identification of 43 robust target genes through HiChIP. Our results point towards molecular pathways potentially involved in vasculopathy and fibrosis, two main hallmarks in SSc, and highlight the spectrum of critical cell types for the disease. This work supports a better understanding of the genetic basis of SSc and provides directions for future functional experiments.