Autoimmune hepatitis (AIH) is a chronic immune-mediated liver disorder that, without treatment, can advance to fibrosis and cirrhosis. Although standard regimens with corticosteroids and thiopurines have significantly improved survival, many patients still experience relapses and drug-related toxicity, highlighting the urgent need for alternative strategies. Recent studies underscore AIH’s multifactorial nature, revealing intricate interactions among genetic susceptibility, environmental triggers, and dysregulated immune responses. Next-generation diagnostics, ranging from novel biomarkers to high-resolution imaging, are enhancing early detection and more precise disease classification. At the same time, multi-omics analyses and artificial-intelligence-based models are refining predictions of disease trajectory and therapeutic response. On the treatment horizon, investigational options such as targeted immunomodulators, B-cell–depleting therapies, and cell-based interventions aim to achieve durable remission while minimizing adverse effects. This review critically appraises these advances and explores how integrating epidemiological insights with cutting-edge research in pathogenesis, diagnostics, and therapy could pave the way for more personalized and effective management of AIH.
Curto et al. (Mon,) studied this question.