Literature DB >> 12808002

Modeling of corticosteroid pharmacogenomics in rat liver using gene microarrays.

Jin Y Jin1, Richard R Almon, Debra C DuBois, William J Jusko.   

Abstract

Corticosteroid (CS) pharmacogenomics was studied using gene microarrays in rat liver. Methylprednisolone (MPL) was administered intravenously at 50 mg/kg. Rats were sacrificed and liver excised at 17 time points over 72 h. RNAs from individual livers were used to query Affymetrix GeneChips that contain sequences for 8000 genes. Cluster analysis revealed six temporal patterns consisting of 197 CS-responsive probes representing 143 genes. Based on our fifth-generation model of CS pharmacokinetics/pharmacodynamics (PK/PD), mechanistic models were developed to describe the time pattern for each CS-responsive gene. Two clusters showed increased expression with different effect duration. PK/PD models assuming CS stimulation of mRNA synthesis were applied. Another two clusters showed an initial decline followed by delayed increase, suggesting two mechanisms might be involved jointly. The initial suppression was captured by CS inhibition of mRNA synthesis or stimulation of degradation. CS may also stimulate the production of a biosignal (transcription factors or other hormones), which can cause secondary induction of the target mRNA. One cluster showed a very abrupt increase in message followed by rapid decrease. These genes were lymphocytic in origin and were modeled combining the fast gene induction effect of CS in lymphoid cells and its direct lymphocyte trafficking effect. Another cluster showed reduction persisting for 18 h, which was described by CS inhibition of mRNA synthesis. Our results reveal the marked diversity of genes regulated by CS via a limited array of mechanisms. These PK/PD models provide quantitation of CS pharmacogenomics and new hypotheses regarding understanding of diverse mechanisms of CS receptor-gene mediated action.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12808002     DOI: 10.1124/jpet.103.053256

Source DB:  PubMed          Journal:  J Pharmacol Exp Ther        ISSN: 0022-3565            Impact factor:   4.030


  43 in total

1.  The PEPR GeneChip data warehouse, and implementation of a dynamic time series query tool (SGQT) with graphical interface.

Authors:  Josephine Chen; Po Zhao; Donald Massaro; Linda B Clerch; Richard R Almon; Debra C DuBois; William J Jusko; Eric P Hoffman
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

2.  The genomic response of skeletal muscle to methylprednisolone using microarrays: tailoring data mining to the structure of the pharmacogenomic time series.

Authors:  Richard R Almon; Debra C DuBois; William H Piel; William J Jusko
Journal:  Pharmacogenomics       Date:  2004-07       Impact factor: 2.533

3.  Entrainment of peripheral clock genes by cortisol.

Authors:  Panteleimon D Mavroudis; Jeremy D Scheff; Steve E Calvano; Stephen F Lowry; Ioannis P Androulakis
Journal:  Physiol Genomics       Date:  2012-04-17       Impact factor: 3.107

4.  A new symbolic representation for the identification of informative genes in replicated microarray experiments.

Authors:  Jeremy D Scheff; Richard R Almon; Debra C DuBois; William J Jusko; Ioannis P Androulakis
Journal:  OMICS       Date:  2010-06

5.  Pharmacogenomic responses of rat liver to methylprednisolone: an approach to mining a rich microarray time series.

Authors:  Richard R Almon; Debra C Dubois; Jin Y Jin; William J Jusko
Journal:  AAPS J       Date:  2005-08-18       Impact factor: 4.009

6.  A stochastic version of corticosteriod pharmacogenomic model.

Authors:  Xiaohong Qi
Journal:  AAPS J       Date:  2005-06-23       Impact factor: 4.009

7.  Corticosteroid-regulated genes in rat kidney: mining time series array data.

Authors:  Richard R Almon; William Lai; Debra C DuBois; William J Jusko
Journal:  Am J Physiol Endocrinol Metab       Date:  2005-06-28       Impact factor: 4.310

8.  Temporal profiling of the transcriptional basis for the development of corticosteroid-induced insulin resistance in rat muscle.

Authors:  Richard R Almon; Debra C Dubois; Jin Y Jin; William J Jusko
Journal:  J Endocrinol       Date:  2005-01       Impact factor: 4.286

9.  Application of scaling factors in simultaneous modeling of microarray data from diverse chips.

Authors:  Zhenling Yao; Baiteng Zhao; Eric P Hoffman; Svetlana Ghimbovschi; Debra C DuBois; Richard R Almon; William J Jusko
Journal:  Pharm Res       Date:  2007-02-21       Impact factor: 4.200

10.  Quantitative Systems Pharmacology: A Framework for Context.

Authors:  Ioannis P Androulakis
Journal:  Curr Pharmacol Rep       Date:  2016-04-08
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.