Literature DB >> 16097792

Gene expression profiling in a model of D-penicillamine-induced autoimmunity in the Brown Norway rat: predictive value of early signs of danger.

Béatrice Séguin1, Paul C Boutros, Xujian Li, Allan B Okey, Jack P Uetrecht.   

Abstract

Idiosyncratic drug reactions (IDRs) cause significant morbidity and mortality. In an animal model of IDRs, 50-80% of Brown Norway rats exposed to D-penicillamine develop an autoimmune syndrome after several weeks of treatment. The symptoms of the IDR are similar to that observed in humans who take D-penicillamine. The mechanism of this reaction is unknown, and no effective biomarkers have been identified to predict susceptibility. We postulate that cell stress caused by drugs is required to initiate the response. We used a high-throughput approach to identify factors that might represent danger signals by profiling hepatic gene expression 6 h after dosing with D-penicillamine (150 mg/kg). Our results show that the drug-treated animals cluster into two distinct groups. One group exhibits substantial expression changes relative to control animals. The most significantly altered transcripts have a role in stress, energy metabolism, acute phase response, and inflammation. We used quantitative reverse transcriptase polymerase chain reaction to measure transcript levels in liver biopsies of 33 rats and found that resistant animals cluster together. This "resistant" cluster of animals contains 87.5% (7/8) resistant animals but only 48% (12/25) "sensitive" animals. This separation is statistically significant at the p = 0.01 level.

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Year:  2005        PMID: 16097792     DOI: 10.1021/tx050040m

Source DB:  PubMed          Journal:  Chem Res Toxicol        ISSN: 0893-228X            Impact factor:   3.739


  2 in total

Review 1.  Role of animal models in the study of drug-induced hypersensitivity reactions.

Authors:  Jack Uetrecht
Journal:  AAPS J       Date:  2006-01-13       Impact factor: 4.009

Review 2.  Role of Podocyte Injury in Glomerulosclerosis.

Authors:  Chen-Chen Lu; Gui-Hua Wang; Jian Lu; Pei-Pei Chen; Yang Zhang; Ze-Bo Hu; Kun-Ling Ma
Journal:  Adv Exp Med Biol       Date:  2019       Impact factor: 2.622

  2 in total

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