Literature DB >> 15084756

Gene expression profiling of rat livers reveals indicators of potential adverse effects.

Alexandra N Heinloth1, Richard D Irwin, Gary A Boorman, Paul Nettesheim, Rickie D Fannin, Stella O Sieber, Michael L Snell, Charles J Tucker, Leping Li, Gregory S Travlos, Gordon Vansant, Pamela E Blackshear, Raymond W Tennant, Michael L Cunningham, Richard S Paules.   

Abstract

This study tested the hypothesis that gene expression profiling can reveal indicators of subtle injury to the liver induced by a low dose of a substance that does not cause overt toxicity as defined by conventional criteria of toxicology (e.g., abnormal clinical chemistry and histopathology). For the purpose of this study we defined this low dose as subtoxic, i.e., a dose that elicits effects which are below the detection of conventional toxicological parameters. Acetaminophen (APAP) was selected as a model hepatotoxicant because (1) considerable information exists concerning the mechanism of APAP hepatotoxicity that can occur following high doses, (2) intoxication with APAP is the leading cause of emergency room visits involving acute liver failure within the United States, and (3) conventional clinical markers have poor predictive value. Rats treated with a single dose of 0, 50, 150, or 1500 mg/kg APAP were examined at 6, 24, or 48 h after exposure for conventional toxicological parameters and for gene expression alterations. Patterns of gene expression were found which indicated cellular energy loss as a consequence of APAP toxicity. Elements of these patterns were apparent even after exposure to subtoxic doses. With increasing dose, the magnitude of changes increased and additional members of the same biological pathways were differentially expressed. The energy loss suggested by gene expression changes was confirmed at the 1500 mg/kg dose exposure by measuring ATP levels. Only by ultrastructural examination could any indication of toxicity be identified after exposure to a subtoxic dose of APAP and that was occasional mitochondrial damage. In conclusion, this study provides evidence that supports the hypothesis that gene expression profiling may be a sensitive means of identifying indicators of potential adverse effects in the absence of the occurrence of overt toxicity.

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Year:  2004        PMID: 15084756     DOI: 10.1093/toxsci/kfh145

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  42 in total

1.  Identification and characterization of adverse effects in 21st century toxicology.

Authors:  Douglas A Keller; Daland R Juberg; Natasha Catlin; William H Farland; Frederick G Hess; Douglas C Wolf; Nancy G Doerrer
Journal:  Toxicol Sci       Date:  2012-01-19       Impact factor: 4.849

2.  Clustering of gene expression data and end-point measurements by simulated annealing.

Authors:  Pierre R Bushel
Journal:  J Bioinform Comput Biol       Date:  2009-02       Impact factor: 1.122

3.  Proceedings of the 2013 National Toxicology Program Satellite Symposium.

Authors:  Susan A Elmore; Michael C Boyle; Molly H Boyle; Michelle C Cora; Torrie A Crabbs; Connie A Cummings; Margarita M Gruebbel; Crystal L Johnson; David E Malarkey; Elizabeth F McInnes; Thomas Nolte; Cynthia C Shackelford; Jerrold M Ward
Journal:  Toxicol Pathol       Date:  2013-12-13       Impact factor: 1.902

Review 4.  Use of transcriptomics in understanding mechanisms of drug-induced toxicity.

Authors:  Yuxia Cui; Richard S Paules
Journal:  Pharmacogenomics       Date:  2010-04       Impact factor: 2.533

Review 5.  Sandwich-cultured hepatocytes: an in vitro model to evaluate hepatobiliary transporter-based drug interactions and hepatotoxicity.

Authors:  Brandon Swift; Nathan D Pfeifer; Kim L R Brouwer
Journal:  Drug Metab Rev       Date:  2010-08       Impact factor: 4.518

Review 6.  Blood transcriptomics: applications in toxicology.

Authors:  Pius Joseph; Christina Umbright; Rajendran Sellamuthu
Journal:  J Appl Toxicol       Date:  2013-03-01       Impact factor: 3.446

Review 7.  Systems biology and functional genomics approaches for the identification of cellular responses to drug toxicity.

Authors:  Alison Hege Harrill; Ivan Rusyn
Journal:  Expert Opin Drug Metab Toxicol       Date:  2008-11       Impact factor: 4.481

8.  Blood gene expression markers to detect and distinguish target organ toxicity.

Authors:  Christina Umbright; Rajendran Sellamuthu; Shengqiao Li; Michael Kashon; Michael Luster; Pius Joseph
Journal:  Mol Cell Biochem       Date:  2009-09-26       Impact factor: 3.396

9.  Hepatic stellate cell-targeted delivery of hepatocyte growth factor transgene via bile duct infusion enhances its expression at fibrotic foci to regress dimethylnitrosamine-induced liver fibrosis.

Authors:  Balakrishnan Chakrapani Narmada; Yuzhan Kang; Lakshmi Venkatraman; Qiwen Peng; Rashidah Binte Sakban; Bramasta Nugraha; Xuan Jiang; Ralph M Bunte; Peter T C So; Lisa Tucker-Kellogg; Hai-Quan Mao; Hanry Yu
Journal:  Hum Gene Ther       Date:  2013-05       Impact factor: 5.695

10.  Application of key events analysis to chemical carcinogens and noncarcinogens.

Authors:  Alan R Boobis; George P Daston; R Julian Preston; Stephen S Olin
Journal:  Crit Rev Food Sci Nutr       Date:  2009-09       Impact factor: 11.176

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