Multiscale zonation-resolved modeling of dose-dependent determinants of acetaminophen-induced liver injury
Introduction: modeling as a solution to reduce DILI impact. Methods: patient cohort, encompassing both lower and higher APAP overdoses, and analyzed how zonal variations in metabolism factors impacted the generation of liver damage. Results: The results showed a significant difference in the sensitivity of the metabolic parameters at different overdose levels. Some, such as drug uptake rate, led to increased damage; others, such as CYP450 enzymatic activity, showed overdose-dependent effects, and others, such as the sulfation rate, showed only limited effects. Discussion: Overall, this study highlights the importance of collecting proper metabolic expression (specifically drug uptake rate, CYP450 enzymatic activity, and glutathione quantity) to ensure an accurate estimation of patient damage.
Authors
- Nicolas Gallo (ORCID: https://orcid.org/0009-0004-7967-4266)
- Debarshi Ghosh (ORCID: https://orcid.org/0000-0001-9673-5762)
- Stelian Camara Dit Pinto (ORCID: https://orcid.org/0000-0003-2155-1672)
- Alon Malka-Markovitz
- Mohammed Cherkaoui
- John M. Vierling
- Reza Sadeghi
Institutions
- Baylor College of Medicine (US)
- Artificial Intelligence in Medicine (Canada) (CA)
- Dassault Systèmes (France) (FR)
Publication Details
- Journal
- Frontiers in Pharmacology
- Published
- 2026-04-21
- DOI
- https://doi.org/10.3389/fphar.2026.1789797
- Primary Topic
- Drug-Induced Hepatotoxicity and Protection
- Type
- article
- Field-Weighted Citation Impact
- 0.00