Multiscale Zonation-Resolved Modeling of Acetaminophen-Induced Liver Injury

A 22.9 KB Excel dataset by Debarshi Ghosh, last updated on 2026-04-21. It contains results from an in silico modeling study of drug-induced liver injury (DILI) using a virtual human liver lobule model. The study analyzes how zonal variations in metabolic parameters like drug uptake and CYP450 activity impact liver damage from acetaminophen overdose.

Use Cases

• Calibrating virtual liver models based on metabolic zonation parameters mentioned in the description
• Analyzing the overdose-dependent effects of parameters like CYP450 enzymatic activity on simulated liver damage
• Investigating the sensitivity of drug uptake rate as a determinant of acetaminophen hepatotoxicity in a simulated patient cohort

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• The study is based on a virtual, scalable model of the human liver lobule coupled with a specific metabolic injury model.
• Analysis includes a representative in silico patient cohort encompassing both lower and higher overdose levels.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 22.9 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Generated from a virtual, scalable model of the human liver lobule coupled with an acetaminophen metabolic injury model, using clinical overdose data to create an in silico patient cohort.

Freshness

Last updated 2026-04-21 05:31:04; freshness should be verified.