Literature DB >> 11752123

Pharmacodynamics and pharmacogenomics of methylprednisolone during 7-day infusions in rats.

Rohini Ramakrishnan1, Debra C DuBois, Richard R Almon, Nancy A Pyszczynski, William J Jusko.   

Abstract

An array of adverse steroid effects was examined on a whole body, tissue, and molecular level. Groups of male adrenalectomized Wistar rats were subcutaneously implanted with Alzet mini-pumps giving zero-order release rates of 0, 0.1, and 0.3 mg/kg/h methylprednisolone for 7 days. The rats were sacrificed at various times during the 7-day infusion period. A two-compartment model with a zero order input could adequately describe the kinetics of methylprednisolone upon infusion. Blood lymphocyte counts dropped to a minimum by 6 h and were well characterized by the cell trafficking model. The time course of changes in body and organ (liver, spleen, thymus, gastrocnemius muscle, and lungs) weights was described using indirect response models. Markers of gene-mediated steroid effects included hepatic cytosolic free receptor density, receptor mRNA, tyrosine aminotransferase (TAT) mRNA, and TAT levels. Our fifth-generation model of acute corticosteroid pharmacodynamics was used to predict the time course of receptor/gene-mediated effects. An excellent agreement between the expected and observed receptor dynamics suggested that receptor events and mRNA autoregulation are not altered upon 7-day methylprednisolone dosing. However, the model indicated a decoupling between the receptor and TAT dynamics with this infusion. The strong tolerance seen in TAT mRNA induction could be partly accounted for by receptor down-regulation. An amplification of translation of TAT mRNA to TAT and/or a reduction in the enzyme degradation rate could account for the observed exaggerated TAT activity. Our results exemplify the importance of biological signal transduction variables in controlling receptor/gene-mediated steroid responses during chronic dosing.

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Year:  2002        PMID: 11752123     DOI: 10.1124/jpet.300.1.245

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


  30 in total

1.  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

2.  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

3.  A stochastic version of corticosteriod pharmacogenomic model.

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

4.  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

5.  Relationships between circadian rhythms and modulation of gene expression by glucocorticoids in skeletal muscle.

Authors:  Richard R Almon; Eric Yang; William Lai; Ioannis P Androulakis; Svetlana Ghimbovschi; Eric P Hoffman; William J Jusko; Debra C Dubois
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2008-07-30       Impact factor: 3.619

6.  Receptor/gene/protein-mediated signaling connects methylprednisolone exposure to metabolic and immune-related pharmacodynamic actions in liver.

Authors:  Vivaswath S Ayyar; Siddharth Sukumaran; Debra C DuBois; Richard R Almon; Jun Qu; William J Jusko
Journal:  J Pharmacokinet Pharmacodyn       Date:  2018-04-27       Impact factor: 2.745

7.  Mechanistic Multi-Tissue Modeling of Glucocorticoid-Induced Leucine Zipper Regulation: Integrating Circadian Gene Expression with Receptor-Mediated Corticosteroid Pharmacodynamics.

Authors:  Vivaswath S Ayyar; Debra C DuBois; Richard R Almon; William J Jusko
Journal:  J Pharmacol Exp Ther       Date:  2017-07-20       Impact factor: 4.030

8.  Microarray analysis of the temporal response of skeletal muscle to methylprednisolone: comparative analysis of two dosing regimens.

Authors:  Richard R Almon; Debra C DuBois; Zhenling Yao; Eric P Hoffman; Svetlana Ghimbovschi; William J Jusko
Journal:  Physiol Genomics       Date:  2007-05-01       Impact factor: 3.107

9.  Assessing and selecting gene expression signals based upon the quality of the measured dynamics.

Authors:  Eric Yang; Ioannis P Androulakis
Journal:  BMC Bioinformatics       Date:  2009-02-10       Impact factor: 3.169

10.  Pharmacodynamic/pharmacogenomic modeling of insulin resistance genes in rat muscle after methylprednisolone treatment: exploring regulatory signaling cascades.

Authors:  Zhenling Yao; Eric P Hoffman; Svetlana Ghimbovschi; Debra C DuBois; Richard R Almon; William J Jusko
Journal:  Gene Regul Syst Bio       Date:  2008-04-23
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