Literature DB >> 17118915

Compendium of gene expression profiles comprising a baseline model of the human liver drug metabolism transcriptome.

J G Slatter1, I E Templeton, J C Castle, A Kulkarni, T H Rushmore, K Richards, Y He, X Dai, O J Cheng, M Caguyong, R G Ulrich.   

Abstract

Oligonucleotide microarrays were used to study the variability of pharmacokinetics and drug metabolism (PKDM)-related gene expression in 75 normal human livers. The objective was to define and use absorption, distribution, metabolism and excretion (ADME) gene expression variability to discern co-regulated genes and potential surrogate biomarkers of inducible gene expression. RNA was prepared from donor tissue and hybridized on Agilent microarrays against an RNA mass balanced pool from all donors. Clustering of PKDM gene sets revealed donors with distinct patterns of gene expression that grouped genes known to be regulated by the nuclear receptor, pregnane X-receptor (PXR). Fold range metrics and frequency distributions from the heterogeneous human population were used to define the variability of individual PKDM genes in the 75 human livers and were placed in context by comparing expression data with basal ADME gene expression variability in an inbred and diet/environment controlled population of 27 Rhesus livers. The most variable genes in the hepatic transcriptome were mainly related to drug metabolism, intermediary metabolism, inflammation and cell cycle control. Unique patterns of expression across 75 individuals of inducible ADME gene expression allowed their expression to be correlated with the expression of many other genes. Correlated genes for AhR, CAR and PXR responsive genes (CYP1A2, CYP2B6 and CYP3A4) were identified that may be co-regulated and, therefore, provide clues to the identity of surrogate gene or protein markers for CYP induction. In conclusion, microarrays were used to define the variable expression of hepatic ADME genes in a diverse human population, the expression variability of ADME genes was compared with the expression variability in an inbred population of Rhesus monkeys, and genes were defined that may be co-regulated with important inducible CYP genes.

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Year:  2006        PMID: 17118915     DOI: 10.1080/00498250600861728

Source DB:  PubMed          Journal:  Xenobiotica        ISSN: 0049-8254            Impact factor:   1.908


  12 in total

Review 1.  Sources of variance in baseline gene expression in the rodent liver.

Authors:  J Christopher Corton; Pierre R Bushel; Jennifer Fostel; Raegan B O'Lone
Journal:  Mutat Res       Date:  2012-01-05       Impact factor: 2.433

2.  Systematic genetic and genomic analysis of cytochrome P450 enzyme activities in human liver.

Authors:  Xia Yang; Bin Zhang; Cliona Molony; Eugene Chudin; Ke Hao; Jun Zhu; Andrea Gaedigk; Christine Suver; Hua Zhong; J Steven Leeder; F Peter Guengerich; Stephen C Strom; Erin Schuetz; Thomas H Rushmore; Roger G Ulrich; J Greg Slatter; Eric E Schadt; Andrew Kasarskis; Pek Yee Lum
Journal:  Genome Res       Date:  2010-06-10       Impact factor: 9.043

Review 3.  Systems approaches to molecular cancer diagnostics.

Authors:  Shuyi Ma; Cory C Funk; Nathan D Price
Journal:  Discov Med       Date:  2010-12       Impact factor: 2.970

4.  Activation of CAR and PXR by Dietary, Environmental and Occupational Chemicals Alters Drug Metabolism, Intermediary Metabolism, and Cell Proliferation.

Authors:  J P Hernandez; L C Mota; W S Baldwin
Journal:  Curr Pharmacogenomics Person Med       Date:  2009-06-01

5.  mRNA transfection retrofits cell-based assays with xenobiotic metabolism.

Authors:  Danica E DeGroot; Adam Swank; Russell S Thomas; Mark Strynar; Mi-Young Lee; Paul L Carmichael; Steven O Simmons
Journal:  J Pharmacol Toxicol Methods       Date:  2018-03-16       Impact factor: 1.950

6.  Sexually dimorphic regulation and induction of P450s by the constitutive androstane receptor (CAR).

Authors:  J P Hernandez; L C Mota; W Huang; D D Moore; W S Baldwin
Journal:  Toxicology       Date:  2008-11-11       Impact factor: 4.221

7.  Expression profiling of interindividual variability following xenobiotic exposures in primary human hepatocyte cultures.

Authors:  Katy M O Goyak; Mary C Johnson; Stephen C Strom; Curtis J Omiecinski
Journal:  Toxicol Appl Pharmacol       Date:  2008-05-10       Impact factor: 4.219

8.  Toxicogenomic biomarkers for liver toxicity.

Authors:  Naoki Kiyosawa; Yosuke Ando; Sunao Manabe; Takashi Yamoto
Journal:  J Toxicol Pathol       Date:  2009-04-06       Impact factor: 1.628

9.  Human PXR modulates hepatotoxicity associated with rifampicin and isoniazid co-therapy.

Authors:  Feng Li; Jie Lu; Jie Cheng; Laiyou Wang; Tsutomu Matsubara; Iván L Csanaky; Curtis D Klaassen; Frank J Gonzalez; Xiaochao Ma
Journal:  Nat Med       Date:  2013-03-10       Impact factor: 53.440

10.  The liver pharmacological and xenobiotic gene response repertoire.

Authors:  Georges Natsoulis; Cecelia I Pearson; Jeremy Gollub; Barrett P Eynon; Joe Ferng; Ramesh Nair; Radha Idury; May D Lee; Mark R Fielden; Richard J Brennan; Alan H Roter; Kurt Jarnagin
Journal:  Mol Syst Biol       Date:  2008-03-25       Impact factor: 11.429

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