ArticlePloS one2014
Whole genome transcript profiling of drug induced steatosis in rats reveals a gene signature predictive of outcome.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 40 citations in OpenAlex.
- New approach methodologies for metabolic disruption: a high-throughput human liver cell phospholipidosis assay.Archives of toxicology · 2026Article
- Drug-Induced Fatty Liver Disease (DIFLD): A Comprehensive Analysis of Clinical, Biochemical, and Histopathological Data for Mechanisms Identification and Consistency with Current Adverse Outcome Pathways.International journal of molecular sciences · 2024Review
- Diclofenac Disrupts the Circadian Clock and through Complex Cross-Talks Aggravates Immune-Mediated Liver Injury-A Repeated Dose Study in Minipigs for 28 Days.International journal of molecular sciences · 2023Article
- Phosphatidylcholine (18:0/20:4), a potential biomarker to predict ethionamide-induced hepatic steatosis in rats.Journal of applied toxicology : JAT · 2022Article
- Article
- Drug-induced hepatic steatosis in absence of severe mitochondrial dysfunction in HepaRG cells: proof of multiple mechanism-based toxicity.Cell biology and toxicology · 2021Article
- Antidepressants- and antipsychotics-induced hepatotoxicity.Archives of toxicology · 2021Review
- TOXPANEL: A Gene-Set Analysis Tool to Assess Liver and Kidney Injuries.Frontiers in pharmacology · 2021Article
- An adverse outcome pathway for immune-mediated and allergic hepatitis: a case study with the NSAID diclofenac.Archives of toxicology · 2020Article
- Review
- Frequent Modulation of the Sterol Regulatory Element Binding Protein (SREBP) by Chemical Exposure in the Livers of Rats.Computational toxicology (Amsterdam, Netherlands) · 2019Article
- Mining Public Toxicogenomic Data Reveals Insights and Challenges in Delineating Liver Steatosis Adverse Outcome Pathways.Frontiers in genetics · 2019Article
- Assessing Chemical-Induced Liver InjuryFrontiers in genetics · 2019Article
- FGF21 underlies a hormetic response to metabolic stress in methylmalonic acidemia.JCI insight · 2018Article
- Using a gene expression biomarker to identify DNA damage-inducing agents in microarray profiles.Environmental and molecular mutagenesis · 2018Article
- Role of xenobiotics in the induction and progression of fatty liver disease.Toxicology research · 2018Review
- Identification of the Toxicity Pathways Associated With Thioacetamide-Induced Injuries in Rat Liver and Kidney.Frontiers in pharmacology · 2018Article
- Analysis of Time-Series Gene Expression Data to Explore Mechanisms of Chemical-Induced Hepatic Steatosis Toxicity.Frontiers in genetics · 2018Article
- The pathogenesis of diclofenac induced immunoallergic hepatitis in a canine model of liver injury.Oncotarget · 2017Article
- Evaluation of the Potential Risk of Drugs to Induce Hepatotoxicity in Human-Relationships between Hepatic Steatosis Observed in Non-Clinical Toxicity Study and Hepatotoxicity in Humans.International journal of molecular sciences · 2017Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Drug induced steatosis (DIS) is characterised by excess triglyceride accumulation in the form of lipid droplets (LD) in liver cells. To explore mechanisms underlying DIS we interrogated the publically available microarray data from the Japanese Toxicogenomics Project (TGP) to study comprehensively whole genome gene expression changes in the liver of treated rats. For this purpose a total of 17 and 12 drugs which are diverse in molecular structure and mode of action were considered based on their ability to cause either steatosis or phospholipidosis, respectively, while 7 drugs served as negative controls. In our efforts we focused on 200 genes which are considered to be mechanistically relevant in the process of lipid droplet biogenesis in hepatocytes as recently published (Sahini and Borlak, 2014). Based on mechanistic considerations we identified 19 genes which displayed dose dependent responses while 10 genes showed time dependency. Importantly, the present study defined 9 genes (ANGPTL4, FABP7, FADS1, FGF21, GOT1, LDLR, GK, STAT3, and PKLR) as signature genes to predict DIS. Moreover, cross tabulation revealed 9 genes to be regulated ≥10 times amongst the various conditions and included genes linked to glucose metabolism, lipid transport and lipogenesis as well as signalling events. Additionally, a comparison between drugs causing phospholipidosis and/or steatosis revealed 26 genes to be regulated in common including 4 signature genes to predict DIS (PKLR, GK, FABP7 and FADS1). Furthermore, a comparison between in vivo single dose (3, 6, 9 and 24 h) and findings from rat hepatocyte studies (2 h, 8 h, 24 h) identified 10 genes which are regulated in common and contained 2 DIS signature genes (FABP7, FGF21). Altogether, our studies provide comprehensive information on mechanistically linked gene expression changes of a range of drugs causing steatosis and phospholipidosis and encourage the screening of DIS signature genes at the preclinical stage.
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