Literature DB >> 17062650

Transcriptomic analysis of the cardiac left ventricle in a rodent model of diabetic cardiomyopathy: molecular snapshot of a severe myocardial disease.

Sarah Glyn-Jones1, Sarah Song, Michael A Black, Anthony R J Phillips, Soon Y Choong, Garth J S Cooper.   

Abstract

Heart disease is the major cause of death in diabetes, a disorder characterized by chronic hyperglycemia and cardiovascular complications. Diabetic cardiomyopathy (DCM) is increasingly recognized as a major contributor to diastolic dysfunction and heart failure in diabetes, but its molecular basis has remained obscure, in part because of its multifactorial origins. Here we employed comparative transcriptomic methods with quantitative verification of selected transcripts by reverse transcriptase quantitative PCR to characterize the molecular basis of DCM in rats with streptozotocin-induced diabetes of 16-wk duration. Diabetes caused left ventricular disease that was accompanied by significant changes in the expression of 1,614 genes, 749 of which had functions assignable by Gene Ontology classification. Genes corresponding to proteins expressed in mitochondria accounted for a disproportionate number of those whose expression was significantly modified in DCM, consistent with the idea that the mitochondrion is a key target of the pathogenic processes that cause myocardial disease in diabetes. Diabetes also induced global perturbations in the expression of genes regulating cardiac fatty acid metabolism, whose dysfunction is likely to play a key role in the promotion of oxidative stress, thereby contributing to the pathogenesis of diabetic myocardial disease. In particular, these data point to impaired regulation of mitochondrial beta-oxidation as central in the mechanisms that generate DCM pathogenesis. This study provides a comprehensive molecular snapshot of the processes leading to myocardial disease in diabetes.

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Year:  2006        PMID: 17062650     DOI: 10.1152/physiolgenomics.00204.2006

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


  14 in total

1.  Proteomic changes associated with diabetes in the BB-DP rat.

Authors:  D Thor Johnson; Robert A Harris; Stephanie French; Angel Aponte; Robert S Balaban
Journal:  Am J Physiol Endocrinol Metab       Date:  2008-11-04       Impact factor: 4.310

Review 2.  The complexities of diabetic cardiomyopathy: lessons from patients and animal models.

Authors:  Romain Harmancey; Heinrich Taegtmeyer
Journal:  Curr Diab Rep       Date:  2008-06       Impact factor: 4.810

3.  Maintenance of cardiac energy metabolism by histone deacetylase 3 in mice.

Authors:  Rusty L Montgomery; Matthew J Potthoff; Michael Haberland; Xiaoxia Qi; Satoshi Matsuzaki; Kenneth M Humphries; James A Richardson; Rhonda Bassel-Duby; Eric N Olson
Journal:  J Clin Invest       Date:  2008-10-01       Impact factor: 14.808

Review 4.  Altered mitochondrial function in insulin-deficient and insulin-resistant states.

Authors:  Gregory N Ruegsegger; Ana L Creo; Tiffany M Cortes; Surendra Dasari; K Sreekumaran Nair
Journal:  J Clin Invest       Date:  2018-08-31       Impact factor: 14.808

5.  Principal component analysis-based filtering improves detection for Affymetrix gene expression arrays.

Authors:  Jun Lu; Robnet T Kerns; Shyamal D Peddada; Pierre R Bushel
Journal:  Nucleic Acids Res       Date:  2011-04-27       Impact factor: 16.971

6.  Tissue-specific remodeling of the mitochondrial proteome in type 1 diabetic akita mice.

Authors:  Heiko Bugger; Dong Chen; Christian Riehle; Jamie Soto; Heather A Theobald; Xiao X Hu; Balasubramanian Ganesan; Bart C Weimer; E Dale Abel
Journal:  Diabetes       Date:  2009-06-19       Impact factor: 9.461

7.  Mice over-expressing the myocardial creatine transporter develop progressive heart failure and show decreased glycolytic capacity.

Authors:  Darci Phillips; Michiel Ten Hove; Jurgen E Schneider; Colin O Wu; Liam Sebag-Montefiore; Angel M Aponte; Craig A Lygate; Julie Wallis; Kieran Clarke; Hugh Watkins; Robert S Balaban; Stefan Neubauer
Journal:  J Mol Cell Cardiol       Date:  2009-11-11       Impact factor: 5.000

8.  Gadd45α: a novel diabetes-associated gene potentially linking diabetic cardiomyopathy and baroreflex dysfunction.

Authors:  Ning Wang; Chao Yang; Fang Xie; Lihua Sun; Xiaolin Su; Ying Wang; Ran Wei; Rong Zhang; Xia Li; Baofeng Yang; Jing Ai
Journal:  PLoS One       Date:  2012-12-05       Impact factor: 3.240

9.  Adaptive filtering of microarray gene expression data based on Gaussian mixture decomposition.

Authors:  Michal Marczyk; Roman Jaksik; Andrzej Polanski; Joanna Polanska
Journal:  BMC Bioinformatics       Date:  2013-03-20       Impact factor: 3.169

10.  Filtering for increased power for microarray data analysis.

Authors:  Amber J Hackstadt; Ann M Hess
Journal:  BMC Bioinformatics       Date:  2009-01-08       Impact factor: 3.169

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