ArticleJournal of theoretical biology2011
In vitro transcriptomic prediction of hepatotoxicity for early drug discovery.
Article in Journal of theoretical biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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Who cites it
13 citing papers in PubMed, 35 citations in OpenAlex.
- Multi-Omics-Guided Design and Safety Engineering of Nucleic Acid Therapeutics: From Molecular Perturbation to Predictive Toxicology and Precision Translation.Chemical biology & drug design · 2026Review
- Mechanism-based new approach methodologies for in vitro detection of chemical-induced liver steatosis.Archives of toxicology · 2026Review
- Penicillium-Derived Inhibitors ofScientifica · 2025Article
- Signaling Pathways Regulated by Silica Nanoparticles.Molecules (Basel, Switzerland) · 2021Article
- Article
- Integration of metabolomics and transcriptomics in nanotoxicity studies.BMB reports · 2018Article
- Transcriptomics in toxicology.Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · 2017Review
- Idiosyncratic Drug-Induced Liver Injury (IDILI): Potential Mechanisms and Predictive Assays.BioMed research international · 2017Review
- Article
- Human skin-derived stem cells as a novel cell source for in vitro hepatotoxicity screening of pharmaceuticals.Stem cells and development · 2014Article
- Recent advances in 2D and 3D in vitro systems using primary hepatocytes, alternative hepatocyte sources and non-parenchymal liver cells and their use in investigating mechanisms of hepatotoxicity, cell signaling and ADME.Archives of toxicology · 2013Review
- An ex vivo perfusion system emulating in vivo conditions in noncirrhotic and cirrhotic human liver.The Journal of pharmacology and experimental therapeutics · 2012Article
- New perspectives for in vitro risk assessment of multiwalled carbon nanotubes: application of coculture and bioinformatics.Journal of toxicology and environmental health. Part B, Critical reviews · 2012Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Liver toxicity (hepatotoxicity) is a critical issue in drug discovery and development. Standard preclinical evaluation of drug hepatotoxicity is generally performed using in vivo animal systems. However, only a small number of preselected compounds can be examined in vivo due to high experimental costs. A more efficient yet accurate screening technique that can identify potentially hepatotoxic compounds in the early stages of drug development would thus be valuable. Here, we develop and apply a novel genomic prediction technique for screening hepatotoxic compounds based on in vitro human liver cell tests. Using a training set of in vivo rodent experiments for drug hepatotoxicity evaluation, we discovered common biomarkers of drug-induced liver toxicity among six heterogeneous compounds. This gene set was further triaged to a subset of 32 genes that can be used as a multi-gene expression signature to predict hepatotoxicity. This multi-gene predictor was independently validated and showed consistently high prediction performance on five test sets of in vitro human liver cell and in vivo animal toxicity experiments. The predictor also demonstrated utility in evaluating different degrees of toxicity in response to drug concentrations, which may be useful not only for discerning a compound's general hepatotoxicity but also for determining its toxic concentration.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.