ArticleGene regulation and systems biology2017
Mechanistic Modelling of Drug-Induced Liver Injury: Investigating the Role of Innate Immune Responses.
Article in Gene regulation and systems biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
20 citing papers in PubMed.
- Quantitative Systems Toxicology Modeling with DILIsym to Support Phase 3 Dose Selection for Fezolinetant.Clinical pharmacology and therapeutics · 2026Article
- Quantitative Systems Toxicology Predicts Ivacaftor-Induced Oxidative Stress Contributes to CFTR Modulator Hepatotoxicity.Clinical pharmacology and therapeutics · 2026Article
- Quantitative Approaches to Accelerate MASH Drug Discovery and Development.Clinical pharmacology and therapeutics · 2025Review
- Drug metabolizing enzymes and transporters, and their roles for the development of drug-induced liver injury.Expert opinion on drug metabolism & toxicology · 2025Review
- Modeling and Simulation of Acetaminophen Pharmacokinetics and Hepatic Biomarkers After Overdoses of Extended-Release and Immediate-Release Formulations in Healthy Adults Using the Quantitative Systems Toxicology Software Platform DILIsym.CPT: pharmacometrics & systems pharmacology · 2025Article
- A virtual scalable model of the Hepatic Lobule for acetaminophen hepatotoxicity prediction.NPJ digital medicine · 2024Article
- Critical Roles of the Sphingolipid Metabolic Pathway in Liver Regeneration, Hepatocellular Carcinoma Progression and Therapy.Cancers · 2024Review
- The Combination of a Human Biomimetic Liver Microphysiology System with BIOLOGXsym, a Quantitative Systems Toxicology (QST) Modeling Platform for Macromolecules, Provides Mechanistic Understanding of Tocilizumab- and GGF2-Induced Liver Injury.International journal of molecular sciences · 2023Article
- Endoplasmic Reticulum Stress and Mitochondrial Stress in Drug-Induced Liver Injury.Molecules (Basel, Switzerland) · 2023Review
- Review
- The immunological mechanisms and therapeutic potential in drug-induced liver injury: lessons learned from acetaminophen hepatotoxicity.Cell & bioscience · 2022Review
- Investigating bile acid-mediated cholestatic drug-induced liver injury using a mechanistic model of multidrug resistance protein 3 (MDR3) inhibition.Frontiers in pharmacology · 2022Article
- Radix Kansui Stir-Fried with Vinegar Reduces Radix Kansui-Related Hepatotoxicity in Mice via Mitochondrial Pathway.Chinese journal of integrative medicine · 2021Article
- Mechanistic Investigations Support Liver Safety of Ubrogepant.Toxicological sciences : an official journal of the Society of Toxicology · 2020Article
- [Research progress on laboratory diagnosis of drug-induced liver injury].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2020Article
- Assessing Effects of BHV-0223 40 mg Zydis Sublingual Formulation and Riluzole 50 mg Oral Tablet on Liver Function Test Parameters Utilizing DILIsym.Toxicological sciences : an official journal of the Society of Toxicology · 2020Article
- A computational model of liver tissue damage and repair.PloS one · 2020Article
- The DILI-sim Initiative: Insights into Hepatotoxicity Mechanisms and Biomarker Interpretation.Clinical and translational science · 2019Review
- Prediction of Safety Margin and Optimization of Dosing Protocol for a Novel Antibiotic using Quantitative Systems Pharmacology Modeling.Clinical and translational science · 2018Article
- Systems Toxicology Approach to Identifying Paracetamol Overdose.CPT: pharmacometrics & systems pharmacology · 2018Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Drug-induced liver injury (DILI) remains an adverse event of significant concern for drug development and marketed drugs, and the field would benefit from better tools to identify liver liabilities early in development and/or to mitigate potential DILI risk in otherwise promising drugs. DILIsym software takes a quantitative systems toxicology approach to represent DILI in pre-clinical species and in humans for the mechanistic investigation of liver toxicity. In addition to multiple intrinsic mechanisms of hepatocyte toxicity (ie, oxidative stress, bile acid accumulation, mitochondrial dysfunction), DILIsym includes the interaction between hepatocytes and cells of the innate immune response in the amplification of liver injury and in liver regeneration. The representation of innate immune responses, detailed here, consolidates much of the available data on the innate immune response in DILI within a single framework and affords the opportunity to systematically investigate the contribution of the innate response to DILI.
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