Literature DB >> 15976192

Relationship between hepatic gene expression profiles and hepatotoxicity in five typical hepatotoxicant-administered rats.

Keiichi Minami1, Toshiro Saito, Masatoshi Narahara, Hiroyuki Tomita, Hirokazu Kato, Hisashi Sugiyama, Miki Katoh, Miki Nakajima, Tsuyoshi Yokoi.   

Abstract

In the field of gene expression analysis, DNA microarray technology has a major impact on many different areas including toxicogenomics, such as in predicting the adverse effects of new drug candidates and improving the process of risk assessment and safety evaluation. In this study, we investigated whether there is relationship between the hepatotoxic phenotypes and gene expression profiles of hepatotoxic chemicals measured by DNA microarray analyses. Sprague-Dawley rats (6 weeks old) were administered five hepatotoxicants: acetaminophen (APAP), bromobenzene, carbon tetrachloride, dimethylnitrosamine, and thioacetamide. Serum biochemical markers for liver toxicity were measured to estimate the maximal toxic time of each chemical. Hepatic mRNA was isolated, and the gene expression profiles were analyzed by DNA microarray containing 1,097 drug response genes, such as cytochrome P450s, other phase I and phase II enzymes, nuclear receptors, signal transducers, and transporters. All the chemicals tested generated specific gene expression patterns. APAP was sorted to a different cluster from the other four chemicals. From the gene expression profiles and maximal toxic time estimated by serum biochemical markers, we identified 10 up-regulated genes and 10 down-regulated genes as potential markers of hepatotoxicity. By Quality-Threshold (QT) clustering analysis, we identified major up- and down-regulated expression patterns in each group. Interestingly, the average gene expression patterns from the QT clustering were correlated with the mean value profiles from the biochemical markers. Furthermore, this correlation was observed at any extent of hepatotoxicity. In this study, we identified 17 potential toxicity markers, and those expression profiles could estimate the maximal toxic time independently of the hepatotoxicity levels. This expression profile analysis could be one of the useful tools for evaluating a potential hepatotoxicant in the drug development process.

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Year:  2005        PMID: 15976192     DOI: 10.1093/toxsci/kfi235

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


  20 in total

Review 1.  The evolution of bioinformatics in toxicology: advancing toxicogenomics.

Authors:  Cynthia A Afshari; Hisham K Hamadeh; Pierre R Bushel
Journal:  Toxicol Sci       Date:  2010-12-22       Impact factor: 4.849

Review 2.  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

3.  The hepatoprotective activity of olive oil and Nigella sativa oil against CCl4 induced hepatotoxicity in male rats.

Authors:  Madeha N Al-Seeni; Haddad A El Rabey; Mazin A Zamzami; Abeer M Alnefayee
Journal:  BMC Complement Altern Med       Date:  2016-11-04       Impact factor: 3.659

4.  Genomic indicators in the blood predict drug-induced liver injury.

Authors:  J Huang; W Shi; J Zhang; J W Chou; R S Paules; K Gerrish; J Li; J Luo; R D Wolfinger; W Bao; T-M Chu; Y Nikolsky; T Nikolskaya; D Dosymbekov; M O Tsyganova; L Shi; X Fan; J C Corton; M Chen; Y Cheng; W Tong; H Fang; P R Bushel
Journal:  Pharmacogenomics J       Date:  2010-08       Impact factor: 3.550

5.  Mechanistic identification of biofluid metabolite changes as markers of acetaminophen-induced liver toxicity in rats.

Authors:  Venkat R Pannala; Kalyan C Vinnakota; Kristopher D Rawls; Shanea K Estes; Tracy P O'Brien; Richard L Printz; Jason A Papin; Jaques Reifman; Masakazu Shiota; Jamey D Young; Anders Wallqvist
Journal:  Toxicol Appl Pharmacol       Date:  2019-04-08       Impact factor: 4.219

6.  Safety assessment of the dietary supplement OxyELITE™ Pro (New Formula) in inbred and outbred mouse strains.

Authors:  Isabelle R Miousse; Charles M Skinner; Haixia Lin; Laura E Ewing; Stanley D Kosanke; D Keith Williams; Bharathi Avula; Ikhlas A Khan; Mahmoud A ElSohly; Bill J Gurley; Igor Koturbash
Journal:  Food Chem Toxicol       Date:  2017-08-24       Impact factor: 6.023

7.  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

Review 8.  Filling and mining the reactive metabolite target protein database.

Authors:  Robert P Hanzlik; Jianwen Fang; Yakov M Koen
Journal:  Chem Biol Interact       Date:  2008-09-06       Impact factor: 5.192

9.  Discernment of possible mechanisms of hepatotoxicity via biological processes over-represented by co-expressed genes.

Authors:  Jeff W Chou; Pierre R Bushel
Journal:  BMC Genomics       Date:  2009-06-18       Impact factor: 3.969

10.  Variability of DNA microarray gene expression profiles in cultured rat primary hepatocytes.

Authors:  Jun Xu; Xutao Deng; Victor Chan; Nancy Kelley-Loughnane; Brent W Harker; Leming Shi; Saber M Hussain; John M Frazier; Charles Wang
Journal:  Gene Regul Syst Bio       Date:  2007-11-18
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