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Updated: Dec 22, 2025

Induction of Drug-Induced, Autoimmune Hepatitis in BALB/c Mice for the Study of Its Pathogenic Mechanisms
Published on: May 29, 2020
An adverse outcome pathway for immune-mediated and allergic hepatitis: a case study with the NSAID diclofenac
Saravanakumar Selvaraj1, Jung-Hwa Oh1,2, Jürgen Borlak3
1Centre for Pharmacology and Toxicology, Hannover Medical School, 30625, Hannover, Germany.
Abstract:
Many drugs have the potential to cause drug-induced liver injury (DILI); however, underlying mechanisms are diverse. The concept of adverse outcome pathways (AOPs) has become instrumental for risk assessment of drug class effects. We report AOPs specific for immune-mediated and drug hypersensitivity/allergic hepatitis by considering genomic, histo- and clinical pathology data of mice and dogs treated with diclofenac. The findings are relevant for other NSAIDs and drugs undergoing iminoquinone and quinone reactive metabolite formation. We define reactive metabolites catalyzed by CYP monooxygenase and myeloperoxidases of neutrophils and Kupffer cells as well as acyl glucuronides produced by uridine diphosphoglucuronosyl transferase as molecular initiating events (MIE). The reactive metabolites bind to proteins and act as neo-antigen and involve antigen-presenting cells to elicit B- and T-cell responses. Given the diverse immune systems between mice and dogs, six different key events (KEs) at the cellular and up to four KEs at the organ level are defined with mechanistic plausibility for the onset and progression of liver inflammation. With mice, cellular stress response, interferon gamma-, adipocytokine- and chemokine signaling provided a rationale for the AOP of immune-mediated hepatitis. With dogs, an erroneous programming of the innate and adaptive immune response resulted in mast cell activation; their infiltration into liver parenchyma and the shift to M2-polarized Kupffer cells signify allergic hepatitis and the occurrence of granulomas of the liver. Taken together, diclofenac induces divergent immune responses among two important preclinical animal species, and the injury pattern seen among clinical cases confirms the relevance of the developed AOP for immune-mediated hepatitis.
Insights
Diclofenac induces drug-induced liver injury through distinct immune responses in mice and dogs. Adverse outcome pathways (AOPs) were developed to explain these divergent immune-mediated hepatitis mechanisms.
Area of Science:
- Toxicology
- Immunology
- Pharmacology
Background:
- Drug-induced liver injury (DILI) poses significant clinical challenges due to diverse underlying mechanisms.
- Adverse Outcome Pathways (AOPs) are crucial for assessing drug class effects and predicting DILI.
- Understanding specific AOPs for immune-mediated hepatitis is essential for drug safety evaluation.
Purpose of the Study:
- To define AOPs for immune-mediated and hypersensitivity/allergic hepatitis induced by diclofenac in preclinical models.
- To investigate the role of reactive metabolites and immune responses in diclofenac-induced DILI.
- To compare DILI mechanisms across species, specifically mice and dogs.
Main Methods:
- Analysis of genomic, histo-, and clinical pathology data from diclofenac-treated mice and dogs.
- Identification of molecular initiating events (MIEs) including reactive metabolites and acyl glucuronides.
- Definition of key events (KEs) at cellular and organ levels to construct AOPs.
Main Results:
- Diclofenac-induced DILI involves reactive metabolites (iminoquinones/quinones) and acyl glucuronides as MIEs.
- Distinct AOPs were identified for immune-mediated hepatitis in mice (cellular stress, cytokine signaling) and allergic hepatitis in dogs (mast cell activation, Kupffer cell polarization, granuloma formation).
- Divergent immune responses in mice and dogs highlight species-specific DILI pathogenesis.
Conclusions:
- Developed AOPs provide mechanistic insights into diclofenac-induced immune-mediated hepatitis.
- The findings are relevant for NSAIDs and other drugs forming reactive metabolites.
- The study confirms the utility of AOPs for predicting and understanding drug-induced hypersensitivity reactions.
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