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Competing Mechanistic Hypotheses of Acetaminophen-Induced Hepatotoxicity Challenged by Virtual Experiments
Andrew K Smith1, Brenden K Petersen2, Glen E P Ropella3
1Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, United States of America.
Abstract:
Acetaminophen-induced liver injury in mice is a model for drug-induced liver injury in humans. A precondition for improved strategies to disrupt and/or reverse the damage is a credible explanatory mechanism for how toxicity phenomena emerge and converge to cause hepatic necrosis. The Target Phenomenon in mice is that necrosis begins adjacent to the lobule's central vein (CV) and progresses outward. An explanatory mechanism remains elusive. Evidence supports that location dependent differences in NAPQI (the reactive metabolite) formation within hepatic lobules (NAPQI zonation) are necessary and sufficient prerequisites to account for that phenomenon. We call that the NZ-mechanism hypothesis. Challenging that hypothesis in mice is infeasible because 1) influential variables cannot be controlled, and 2) it would require sequential intracellular measurements at different lobular locations within the same mouse. Virtual hepatocytes use independently configured periportal-to-CV gradients to exhibit lobule-location dependent behaviors. Employing NZ-mechanism achieved quantitative validation targets for acetaminophen clearance and metabolism but failed to achieve the Target Phenomenon. We posited that, in order to do so, at least one additional feature must exhibit zonation by decreasing in the CV direction. We instantiated and explored two alternatives: 1) a glutathione depletion threshold diminishes in the CV direction; and 2) ability to repair mitochondrial damage diminishes in the CV direction. Inclusion of one or the other feature into NZ-mechanism failed to achieve the Target Phenomenon. However, inclusion of both features enabled successfully achieving the Target Phenomenon. The merged mechanism provides a multilevel, multiscale causal explanation of key temporal features of acetaminophen hepatotoxicity in mice. We discovered that variants of the merged mechanism provide plausible quantitative explanations for the considerable variation in 24-hour necrosis scores among 37 genetically diverse mouse strains following a single toxic acetaminophen dose.
Insights
Acetaminophen-induced liver injury in mice is modeled by a new mechanism combining reactive metabolite formation, glutathione depletion, and mitochondrial repair zonation. This merged mechanism explains necrosis patterns and genetic variations in toxicity.
Area of Science:
- Toxicology
- Computational Biology
- Hepatology
Background:
- Acetaminophen overdose causes liver injury, a significant clinical problem.
- Current understanding of acetaminophen-induced liver injury (AILI) mechanisms is incomplete.
- A key phenomenon in AILI is central vein (CV) necrosis progression, lacking a clear explanation.
Purpose of the Study:
- To develop and validate a computational mechanism explaining AILI.
- To investigate the role of NAPQI zonation and other factors in AILI.
- To account for the spatial and genetic variability of AILI in mice.
Main Methods:
- Utilized virtual hepatocytes to model lobule-specific acetaminophen metabolism and toxicity.
- Tested the NAPQI zonation (NZ) mechanism hypothesis.
- Integrated glutathione depletion and mitochondrial repair zonation into the NZ-mechanism.
Main Results:
- The NZ-mechanism alone did not replicate the observed CV necrosis pattern.
- Incorporating either glutathione depletion or mitochondrial repair zonation alone was insufficient.
- A merged mechanism including both glutathione depletion and mitochondrial repair zonation successfully modeled the Target Phenomenon.
- The merged mechanism explained variations in necrosis scores across 37 mouse strains.
Conclusions:
- A combined mechanism of NAPQI zonation, glutathione depletion zonation, and mitochondrial repair zonation is necessary to explain AILI.
- This multilevel, multiscale model provides a causal explanation for AILI temporal and spatial features.
- The model offers insights into genetic variations influencing acetaminophen toxicity outcomes.
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