Literature DB >> 17473217

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

Richard R Almon1, Debra C DuBois, Zhenling Yao, Eric P Hoffman, Svetlana Ghimbovschi, William J Jusko.   

Abstract

The transcriptional response of skeletal muscle to chronic corticosteroid exposure was examined over 168 h and compared with the response profiles observed following a single dose of corticosteroid. Male adrenalectomized Wistar rats were given a constant-rate infusion of 0.3 mg x kg(-1) x h(-1) methylprednisolone for up to 7 days via subcutaneously implanted minipumps. Four control and forty drug-treated animals were killed at ten different time points during infusion. Liver total RNAs were hybridized to 44 individual Affymetrix REA230A gene chips. Previously, we described a filtration approach for identifying genes of interest in microarray data sets developed from tissues of rats treated with methylprednisolone (MPL) following acute dosing. Here, a similar approach involving a series of three filters was applied sequentially to identify genes of interest. These filters were designed to eliminate probe sets that were not expressed in the tissue, not regulated by the drug, or did not meet defined quality control standards. Filtering eliminated 86% of probe sets, leaving a remainder of 2,316 for further consideration. In a previous study, 653 probe sets were identified as MPL regulated following administration of a single (acute) dose of the drug. Comparison of the two data sets yielded 196 genes identified as regulated by MPL in both dosing regimens. Because of receptor downregulation, it was predicted that genes regulated by receptor-glucocorticoid response element interactions would exhibit tolerance in chronic profiles. However, many genes did not exhibit steroid tolerance, indicating that present perspectives on the mechanism of glucocorticoid action cannot entirely explain all temporal profiles.

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Year:  2007        PMID: 17473217      PMCID: PMC4186702          DOI: 10.1152/physiolgenomics.00242.2006

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  46 in total

1.  Towards an understanding of molecular mechanisms of muscle atrophy.

Authors:  Jean-Paul Thissen
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2005-05       Impact factor: 4.294

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.  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

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

Authors:  Rohini Ramakrishnan; Debra C DuBois; Richard R Almon; Nancy A Pyszczynski; William J Jusko
Journal:  J Pharmacol Exp Ther       Date:  2002-01       Impact factor: 4.030

5.  Sterol regulatory element binding protein-1c expression and action in rat muscles: insulin-like effects on the control of glycolytic and lipogenic enzymes and UCP3 gene expression.

Authors:  Isabelle Guillet-Deniau; Virginie Mieulet; Soazig Le Lay; Younes Achouri; Denis Carré; Jean Girard; Fabienne Foufelle; Pascal Ferré
Journal:  Diabetes       Date:  2002-06       Impact factor: 9.461

6.  Endotoxin disrupts the leucine-signaling pathway involving phosphorylation of mTOR, 4E-BP1, and S6K1 in skeletal muscle.

Authors:  Charles H Lang; Robert A Frost
Journal:  J Cell Physiol       Date:  2005-04       Impact factor: 6.384

Review 7.  Signaling pathways weigh in on decisions to make or break skeletal muscle.

Authors:  Denis C Guttridge
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2004-07       Impact factor: 4.294

8.  Skeletal muscle FOXO1 (FKHR) transgenic mice have less skeletal muscle mass, down-regulated Type I (slow twitch/red muscle) fiber genes, and impaired glycemic control.

Authors:  Yasutomi Kamei; Shinji Miura; Miki Suzuki; Yuko Kai; Junko Mizukami; Tomoyasu Taniguchi; Keiji Mochida; Tomoko Hata; Junichiro Matsuda; Hiroyuki Aburatani; Ichizo Nishino; Osamu Ezaki
Journal:  J Biol Chem       Date:  2004-07-21       Impact factor: 5.157

9.  Analysis of the role of angiotensinogen in spontaneous hypertension.

Authors:  D Lodwick; M A Kaiser; J Harris; F Cumin; M Vincent; N J Samani
Journal:  Hypertension       Date:  1995-06       Impact factor: 10.190

10.  Disuse atrophy of skeletal muscle is associated with an increase in number of glucocorticoid receptors.

Authors:  D C DuBois; R R Almon
Journal:  Endocrinology       Date:  1980-11       Impact factor: 4.736

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  34 in total

1.  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

2.  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

3.  Functional proteomic analysis of corticosteroid pharmacodynamics in rat liver: Relationship to hepatic stress, signaling, energy regulation, and drug metabolism.

Authors:  Vivaswath S Ayyar; Richard R Almon; Debra C DuBois; Siddharth Sukumaran; Jun Qu; William J Jusko
Journal:  J Proteomics       Date:  2017-03-14       Impact factor: 4.044

4.  Functional classification of skeletal muscle networks. I. Normal physiology.

Authors:  Yu Wang; Jack Winters; Shankar Subramaniam
Journal:  J Appl Physiol (1985)       Date:  2012-10-18

Review 5.  Oxygenomics in environmental stress.

Authors:  H Sone; H Akanuma; T Fukuda
Journal:  Redox Rep       Date:  2010       Impact factor: 4.412

6.  Induction of T-Cell Infiltration and Programmed Death Ligand 2 Expression by Adeno-Associated Virus in Rhesus Macaque Skeletal Muscle and Modulation by Prednisone.

Authors:  Megan L Cramer; Guohong Shao; Louise R Rodino-Klapac; Louis G Chicoine; Paul T Martin
Journal:  Hum Gene Ther       Date:  2017-03-23       Impact factor: 5.695

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

Review 8.  Skeletal muscle atrophy and the E3 ubiquitin ligases MuRF1 and MAFbx/atrogin-1.

Authors:  Sue C Bodine; Leslie M Baehr
Journal:  Am J Physiol Endocrinol Metab       Date:  2014-08-05       Impact factor: 4.310

9.  Δ-9,11 modification of glucocorticoids dissociates nuclear factor-κB inhibitory efficacy from glucocorticoid response element-associated side effects.

Authors:  Andreas R Baudy; Erica K M Reeves; Jesse M Damsker; Christopher Heier; Lindsay M Garvin; Blythe C Dillingham; John McCall; Sree Rayavarapu; Zuyi Wang; Jack H Vandermeulen; Arpana Sali; Vanessa Jahnke; Stephanie Duguez; Debra DuBois; Mary C Rose; Kanneboyina Nagaraju; Eric P Hoffman
Journal:  J Pharmacol Exp Ther       Date:  2012-06-28       Impact factor: 4.030

10.  Proteomic profiling of glucocorticoid-exposed myogenic cells: Time series assessment of protein translocation and transcription of inactive mRNAs.

Authors:  Erica K M Reeves; Heather Gordish-Dressman; Eric P Hoffman; Yetrib Hathout
Journal:  Proteome Sci       Date:  2009-07-30       Impact factor: 2.480

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