Literature DB >> 12187938

Methapyrilene toxicity: anchorage of pathologic observations to gene expression alterations.

Hisham K Hamadeh1, Brian L Knight, Astrid C Haugen, Stella Sieber, Rupesh P Amin, Pierre R Bushel, Raymond Stoll, Kerry Blanchard, Supriya Jayadev, Raymond W Tennant, Michael L Cunningham, Cynthia A Afshari, Richard S Paules.   

Abstract

Methapyrilene (MP) exposure of animals can result in an array of adverse pathological responses including hepatotoxicity. This study investigates gene expression and histopathological alterations in response to MP treatment in order to 1) utilize computational approaches to classify samples derived from livers of MP treated rats based on severity of toxicity incurred in the corresponding tissue, 2) to phenotypically anchor gene expression pattems, and 3) to gain insight into mechanism(s) of methapyrilene hepatotoxicity. Large-scale differential gene expression levels associated with the exposure of male Sprague-Dawley rats to the rodent hepatic carcinogen MP for 1, 3, or 7 days after daily dosage with 10 or 100 mg/kg/day were monitored. Hierarchical clustering and principal component analysis were successful in classifying samples in agreement with microscopic observations and revealed low-dose effects that were not observed histopathologically. Data from cDNA microarray analysis corroborated observed histopathological alterations such as hepatocellular necrosis, bile duct hyperplasia, microvesicular vacuolization, and portal inflammation observed in the livers of MP exposed rats and provided insight into the role of specific genes in the studied toxicological processes.

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Year:  2002        PMID: 12187938     DOI: 10.1080/01926230290105712

Source DB:  PubMed          Journal:  Toxicol Pathol        ISSN: 0192-6233            Impact factor:   1.902


  35 in total

1.  Mechanisms of crystalline silica-induced pulmonary toxicity revealed by global gene expression profiling.

Authors:  Rajendran Sellamuthu; Christina Umbright; Shengqiao Li; Michael Kashon; Pius Joseph
Journal:  Inhal Toxicol       Date:  2011-11-16       Impact factor: 2.724

Review 2.  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

3.  Heat map visualization of high-density clinical chemistry data.

Authors:  J Todd Auman; Gary A Boorman; Ralph E Wilson; Gregory S Travlos; Richard S Paules
Journal:  Physiol Genomics       Date:  2007-07-24       Impact factor: 3.107

4.  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

Review 5.  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 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

7.  The role of drug profiles as similarity metrics: applications to repurposing, adverse effects detection and drug-drug interactions.

Authors:  Santiago Vilar; George Hripcsak
Journal:  Brief Bioinform       Date:  2017-07-01       Impact factor: 11.622

8.  Molecular insights into the progression of crystalline silica-induced pulmonary toxicity in rats.

Authors:  Rajendran Sellamuthu; Christina Umbright; Jenny R Roberts; Amy Cumpston; Walter McKinney; Bean T Chen; David Frazer; Shengqiao Li; Michael Kashon; Pius Joseph
Journal:  J Appl Toxicol       Date:  2012-03-19       Impact factor: 3.446

9.  In vitro to in vivo extrapolation and species response comparisons for drug-induced liver injury (DILI) using DILIsym™: a mechanistic, mathematical model of DILI.

Authors:  Brett A Howell; Yuching Yang; Rukmini Kumar; Jeffrey L Woodhead; Alison H Harrill; Harvey J Clewell; Melvin E Andersen; Scott Q Siler; Paul B Watkins
Journal:  J Pharmacokinet Pharmacodyn       Date:  2012-08-09       Impact factor: 2.745

10.  Blood gene expression signatures predict exposure levels.

Authors:  P R Bushel; A N Heinloth; J Li; L Huang; J W Chou; G A Boorman; D E Malarkey; C D Houle; S M Ward; R E Wilson; R D Fannin; M W Russo; P B Watkins; R W Tennant; R S Paules
Journal:  Proc Natl Acad Sci U S A       Date:  2007-11-02       Impact factor: 11.205

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