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Updated: Jan 13, 2026

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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
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IgG4-Associated Autoimmune Hepatitis: a Systematic Review
Chun-Hsun Liao1, Hsu-Hua Tseng2, Ting-An Shen3
1Division of Gastroenterology and Hepatology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Journal of Gastroenterology and Hepatology
|January 6, 2026
Summary
IgG4-associated autoimmune hepatitis (IgG4-AIH) presents unique features overlapping with AIH and IgG4-RD. This review highlights its distinct profile, emphasizing the need for clear diagnostic criteria.
Area of Science:
- Hepatology
- Immunology
- Gastroenterology
Background:
- IgG4-associated autoimmune hepatitis (IgG4-AIH) is an emerging condition with features of autoimmune hepatitis (AIH) and IgG4-related disease (IgG4-RD).
- Diagnostic criteria for IgG4-AIH are inconsistent, hindering understanding of its prevalence and clinical significance.
Purpose of the Study:
- To systematically review and characterize the clinical, serological, and histopathological features of IgG4-AIH.
Main Methods:
- A systematic literature search was performed using PRISMA guidelines across PubMed, Embase, and Web of Science.
- Data extraction and quality assessment were conducted by two independent reviewers using Joanna Briggs Institute (JBI) tools.
- A narrative synthesis approach was employed for data analysis.
Main Results:
- The review included 43 studies with 185 patients, predominantly Asian females.
- Common findings included antinuclear antibody positivity (73%-78%), elevated serum IgG4 levels (>135 mg/dL), interface hepatitis, plasma cell infiltration, and advanced fibrosis in ~50% of patients.
- Glucocorticoid therapy was effective, achieving biochemical remission in over 70% of patients within three months.
Conclusions:
- IgG4-AIH represents a distinct clinical entity bridging AIH and IgG4-RD.
- Consensus diagnostic criteria and further prospective studies are crucial for optimizing management and understanding long-term outcomes.
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