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Induction of Drug-Induced, Autoimmune Hepatitis in BALB/c Mice for the Study of Its Pathogenic Mechanisms
Published on: May 29, 2020
Differentiating Acute-onset Autoimmune Hepatitis From Drug-Induced Autoimmune-like Hepatitis: A Multicenter Study and
Haoyu Wen1,2, Yu Chen1, Qiuxiang Lin3
1Division of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, State Key Laboratory for Oncogenes and Related Genes, Renji Hospital, School of Medicine, Ministry of Health, Shanghai Jiao Tong University, Shanghai Institute of Digestive Disease, Shanghai, China.
Abstract:
The incidence of acute-onset autoimmune hepatitis (A-AIH) is increasing, yet diagnosis remains challenging, especially in patients with recent hepatotoxic drug exposure. The clinical presentations of A-AIH and drug-induced autoimmune-like hepatitis (DI-ALH) at onset are often indistinguishable, complicating timely diagnosis. We conducted a three-center retrospective study in China, screening patients with acute liver injury, hepatotoxic drug exposure, and autoimmune features. Patients were ultimately classified as DI-ALH if they achieved sustained remission after culprit drug cessation, or as A-AIH if they relapsed. We compared baseline demographics, laboratory indices, immunological profiles, liver histology, and established AIH diagnostic criteria. We developed and independently validated a multivariable logistic regression model to improve discrimination between A-AIH and DI-ALH. Of 458 patients screened, 238 met inclusion criteria and constituted the final cohort (94 A-AIH and 144 DI-ALH). Compared to DI-ALH, A-AIH showed significantly higher IgG levels, lower platelet counts, and higher autoantibody titers. Histologically, A-AIH exhibited more severe portal inflammation, interface hepatitis, fibrosis, and rosette formation. The discriminatory capacity of the 2022 and 2008 histological criteria was limited and comparable (AUC 0.62 vs. 0.59, p = 0.616). The Dx-AID score, incorporating platelet count, IgG, autoantibodies, and histological features, achieved high diagnostic accuracy in both the derivation cohort (AUC 0.84, 95% CI: 0.77-0.91) and the validation cohort (AUC 0.83, 95% CI: 0.72-0.94). Although A-AIH and DI-ALH share similarities, they differ in immunological and histological profiles. The Dx-AID score integrates these differences into a practical tool for early differentiation and guides personalized treatment decisions.
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