Concurrent autoimmune hepatitis and grave's disease in hepatitis C during pegylated interferon α-2a and ribavirin therapy

Real-world pharmacovigilance study of drug-induced autoimmune hepatitis from the FAERS database

This study aims to identify and evaluate the most common drugs associated with the risks of autoimmune hepatitis (AIH) using the FDA Adverse Event Reporting System (FAERS) database. Adverse drug events (ADEs) associated with drug-induced AIH (DI-AIH) were retrieved from the FAERS database (January 2004-June 2024). Disproportionality analysis was performed to identify drugs significantly linked to DI-AIH, and time-to-onset (TTO) analyses were conducted to evaluate the timing and risk profiles of DI-AIH adverse reactions. Our study identified 2,511 ADEs linked to autoimmune hepatitis. Disproportionality analysis identified 22 drugs significantly associated with AIH risk, including 4 antibiotics, 3 antivirals, 4 cardiovascular drugs, 5 antitumor agents, 2 immunomodulators, 2 nonsteroidal anti-inflammatory drugs, and 1 drug each from the respiratory and nervous system categories. The highest DI-AIH risks were observed with minocycline (ROR = 53.97), nitrofurantoin (ROR = 57.02), and doxycycline (ROR = 16.12). Antitumor drugs had the shortest median TTO (77.00 days), whereas cardiovascular drugs exhibited the longest (668.30 days). Through a comprehensive analysis of the FAERS database, our study identified drugs strongly associated with AIH. Preventing DI-AIH requires careful drug selection and monitoring. This study provides evidence-based insights into implicated drugs, aiming to optimize clinical management and mitigate risks.

Drug-induced autoimmune-like hepatitis: A disproportionality analysis based on the FAERS database

BACKGROUND

Drug-induced autoimmune-like hepatitis (DI-ALH) is a potentially life-threatening condition that can lead to acute liver failure and necessitate liver transplantation. While the association between certain drugs and DI-ALH has been documented, a comprehensive analysis of drug-related signals in a large, real-world pharmacovigilance database is lacking. This study aimed to systematically identify drugs linked to DI-ALH by analyzing adverse event reports from the U.S. Food and Drug Administration's (FDA) Adverse Event Reporting System (FAERS) database.

METHODS

We searched the FAERS database for the term "autoimmune hepatitis" and extracted DI-ALH reports from the first quarter of 2004 to the first quarter of 2024. Positive signal drugs were identified using Proportional Reporting Ratio (PRR), Reporting Odds Ratio (ROR), Bayesian Confidence Propagation Neural Network (BCPNN), and Empirical Bayesian Geometric Mean (EBGM). To confirm a significant drug-adverse event association, each method had to meet predefined thresholds: for PRR and ROR, values were considered significant if the lower 95% confidence interval (CI) was greater than 1 and at least three reports were identified; for BCPNN, an Information Component (IC025) greater than 0 indicated a signal; for EBGM, a value greater than 2 for the lower 95% confidence interval (EBGM05) was used to denote a positive signal.

RESULTS

A total of 5,723 DI-ALH reports were extracted from the FAERS database. Disproportionality analysis identified 50 drugs with strong associations to DI-ALH, with biologics, statins, antibiotics, and antiviral drugs representing the most common categories. Among these, nitrofurantoin (ROR 94.79, CI 78.53-114.41), minocycline (ROR 77.82, CI 65.09-93.05), and nivolumab (ROR 47.12, CI 15.06-147.39) exhibited the strongest signals. Additionally, several previously unreported drugs, including mesalazine, aldesleukin, onasemnogene abeparvovec-xioi, and nefazodone, were identified as having strong associations with DI-ALH. These findings were consistent across all four signal detection methods, further validating the robustness of the associations.

CONCLUSION

This study provides a comprehensive assessment of drugs associated with DI-ALH through a rigorous analysis of the FAERS database using multiple signal detection methods. By identifying both well-known and previously underreported drugs, this study contributes to a more complete understanding of drug-induced liver injury. The findings have important implications for pharmacovigilance strategies and clinical risk assessment. However, limitations inherent in the FAERS database, such as underreporting and the potential for reporting bias, should be considered. Further clinical validation is warranted to confirm these associations.

Immunological crossroads: The intriguing dance between hepatitis C and autoimmune hepatitis

Delving into the immunological crossroads of liver diseases, this editorial explores the dynamic interplay between hepatitis C virus (HCV) and autoimmune hepatitis (AIH). While HCV primarily manifests as a viral infection impacting the liver, previous studies unveil a captivating connection between HCV and the emergence of AIH. The dance of the immune system in response to HCV appears to set the stage for an intriguing phenomenon-an aberrant autoimmune response leading to the onset of AIH. Evidence suggests a heightened presence of autoimmune markers in individuals with chronic HCV infection, hinting at a potential overlap between viral and autoimmune liver diseases. Navigating the intricate terrain of viral replication, immune response dynamics, and genetic predisposition, this editorial adds a layer of complexity to our understanding of the relationship between HCV and AIH. In this immunological crossroads, we aim to unearth insights into the complex interplay, using a compelling case where AIH and primary sclerosing cholangitis overlapped following HCV treatment with direct-acting antivirals as background.

ITM2A Expands Evidence for Genetic and Environmental Interaction in Graves Disease Pathogenesis

CONTEXT

Graves disease (GD) is a common autoimmune disease triggered by genetic predisposition and environmental factors. However, the mechanisms of interaction between genetic and environmental factors contributing to the development of GD remain unknown.

OBJECTIVE

We aimed to identify GD susceptibility variants and genes on Xq21.1 locus and interpret the contribution of interaction between genetic predisposition on Xq21.1 and environmental factors to GD.

DESIGN

We performed refining study on Xq21.1 in a 2-stage study and carried out expression quantitative trait locus analysis of the best association signal with GD.

SETTING AND PARTICIPANTS

A total of 4316 GD patients and 4374 sex-matched controls were collected from the Chinese Han population by cooperation with multiple hospitals.

RESULTS

We identified that rs3827440 or its linkage single nucleotide polymorphisms (SNPs) were probably the causal variant in the Xq21.1 locus, with the most substantial association with GD in our combined cohorts (P = 2.45 × 10-15). The genotypes of rs3827440 were correlated with the expression of ITM2A in monocytes and peripheral blood mononuclear cells (PBMCs) from healthy volunteers. Notably, the expression of ITM2A in monocytes after lipopolysaccharide (LPS) and interferon-γ (INF-γ) stimulation showed substantial difference among the volunteers that carried different genotypes of rs3827440 (P = 9.40 × 10-7 and P = 1.26 × 10-5 for 24 hours' LPS and INF-γ stimulation, respectively). Moreover, ITM2A expression was significantly decreased in PBMCs from untreated GD patients than that from controls.

CONCLUSION

The results suggest that ITM2A might be a susceptibility gene for GD in the Xq21.1 locus, and environmental factors, such as viral and bacterial infections, probably contribute to GD pathogenesis by interacting with the risk SNP rs3827440 mediating the regulation of ITM2A expression.

Late autoimmune hepatitis after hepatitis C therapy

BACKGROUND

De-novo or reactivated autoimmune hepatitis (AIH) has been reported during or a short time after administration of interferon (IFN) in patients treated for hepatitis C (HCV). Reports on AIH during long-term follow-up after IFN treatment are scarce.

PATIENTS AND METHODS

Patients diagnosed with both HCV and AIH were identified in clinical databases of four gastroenterology departments. The medical records of patients diagnosed with AIH after IFN therapy were retrospectively assessed.

RESULTS

Five patients (four female, one male) with a mean age of 50 years (range: 34-59) were identified. AIH developed at a mean duration of 4.8 years (range: 1-10) after HCV therapy. Three of five patients had a sustained viral response to antiviral therapy, whereas two were nonresponders. All patients were treated with immunosuppressive therapy after being diagnosed with AIH. Biochemical remission was achieved in four patients; however, one patient had an aggressive course and died despite immunosuppressive therapy. We could not identify any risk factors associated with the development of AIH.

CONCLUSION

AIH may develop in patients treated with IFN, not only during or after a short time from therapy but also after a long time from discontinuation of therapy.