ArticleArchives of toxicology2017
Model-based contextualization of in vitro toxicity data quantitatively predicts in vivo drug response in patients.
Article in Archives of toxicology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 23 citations in OpenAlex.
- Quantitative systems toxicology: modelling to mechanistically understand and predict drug safety.Nature reviews. Drug discovery · 2026Review
- Spheroids and organoids derived from colorectal cancer as tools forExploration of targeted anti-tumor therapy · 2024Review
- Quantitative systems pharmacology of the eye: Tools and data for ocular QSP.CPT: pharmacometrics & systems pharmacology · 2023Review
- Multi-omics HeCaToS dataset of repeated dose toxicity for cardiotoxic & hepatotoxic compounds.Scientific data · 2022Article
- A novel patient-derived organoids-based xenografts model for preclinical drug response testing in patients with colorectal liver metastases.Journal of translational medicine · 2020Article
- Computational Approaches in Preclinical Studies on Drug Discovery and Development.Frontiers in chemistry · 2020Review
- Predicting gastrointestinal drug effects using contextualized metabolic models.PLoS computational biology · 2019Article
- Quantitative systems pharmacology of interferon alpha administration: A multi-scale approach.PloS one · 2019Article
- Using quantitative systems pharmacology to evaluate the drug efficacy of COX-2 and 5-LOX inhibitors in therapeutic situations.NPJ systems biology and applications · 2018Article
- A Comparative Analysis of Drug-Induced Hepatotoxicity in Clinically Relevant Situations.PLoS computational biology · 2017Article
- Multiscale modeling reveals inhibitory and stimulatory effects of caffeine on acetaminophen-induced toxicity in humans.CPT: pharmacometrics & systems pharmacology · 2017Article
- Applied Concepts in PBPK Modeling: How to Build a PBPK/PD Model.CPT: pharmacometrics & systems pharmacology · 2016Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding central mechanisms underlying drug-induced toxicity plays a crucial role in drug development and drug safety. However, a translation of cellular in vitro findings to an actual in vivo context remains challenging. Here, physiologically based pharmacokinetic (PBPK) modeling was used for in vivo contextualization of in vitro toxicity data (PICD) to quantitatively predict in vivo drug response over time by integrating multiple levels of biological organization. Explicitly, in vitro toxicity data at the cellular level were integrated into whole-body PBPK models at the organism level by coupling in vitro drug exposure with in vivo drug concentration-time profiles simulated in the extracellular environment within the organ. PICD was exemplarily applied on the hepatotoxicant azathioprine to quantitatively predict in vivo drug response of perturbed biological pathways and cellular processes in rats and humans. The predictive accuracy of PICD was assessed by comparing in vivo drug response predicted for rats with observed in vivo measurements. To demonstrate clinical applicability of PICD, in vivo drug responses of a critical toxicity-related pathway were predicted for eight patients following acute azathioprine overdoses. Moreover, acute liver failure after multiple dosing of azathioprine was investigated in a patient case study by use of own clinical data. Simulated pharmacokinetic profiles were therefore related to in vivo drug response predicted for genes associated with observed clinical symptoms and to clinical biomarkers measured in vivo. PICD provides a generic platform to investigate drug-induced toxicity at a patient level and thus may facilitate individualized risk assessment during drug development.
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