Literature DB >> 15820188

Aging-associated changes in cardiac gene expression.

Maria Volkova1, Rahul Garg, Salihah Dick, Kenneth R Boheler.   

Abstract

Cardiovascular diseases (e.g., vascular diseases, strokes, heart failure) reach epidemic proportions in the elderly and are the primary limits to survival in man. Age-associated changes in heart structure and function represent the major risk factors in heart failure (HF) syndromes and are associated with altered patterns of gene expression that can generally be seen as relative changes in the abundance of gene transcripts. An understanding of the molecular mechanisms underlying these changes should be tantamount to defining a genetic basis for aging; however, the analysis of processes as complicated as aging requires an accounting of biological diversity. Until recently, most of the changes in transcript abundance were identified one at a time, but the advent of gene expression arrays has permitted rapid, large-scale expression profiling. This has provided information about the dynamics of total gene expression, which can be used to identify pathways and elucidate regulatory events that may be affected during senescence or in response to disease. Importantly, very large sample sizes or meta-analyses of studies of smaller sample sizes should be sufficient to account for the diversity of altered gene expression that directs alterations in specific molecular pathways, which underlie changes in cardiac structure and function in senescence and disease.

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Year:  2004        PMID: 15820188     DOI: 10.1016/j.cardiores.2004.11.016

Source DB:  PubMed          Journal:  Cardiovasc Res        ISSN: 0008-6363            Impact factor:   10.787


  16 in total

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Authors:  Jan M Schilling; Hemal H Patel
Journal:  J Physiol       Date:  2015-10-14       Impact factor: 5.182

Review 2.  The role of PGC-1 coactivators in aging skeletal muscle and heart.

Authors:  Lloye M Dillon; Adriana P Rebelo; Carlos T Moraes
Journal:  IUBMB Life       Date:  2012-01-25       Impact factor: 3.885

3.  Exploring mechanisms of Panax notoginseng saponins in treating coronary heart disease by integrating gene interaction network and functional enrichment analysis.

Authors:  Gui Yu; Jie Wang
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4.  Linkage of cardiac gene expression profiles and ETS2 with lifespan variability in rats.

Authors:  Anna Sheydina; Maria Volkova; Liqun Jiang; Ondrej Juhasz; Jing Zhang; Hyun-Jin Tae; Maria G Perino; Mingyi Wang; Yi Zhu; Edward G Lakatta; Kenneth R Boheler
Journal:  Aging Cell       Date:  2012-02-15       Impact factor: 9.304

Review 5.  Molecular mechanisms of cardiomyocyte aging.

Authors:  Anna Sheydina; Daniel R Riordon; Kenneth R Boheler
Journal:  Clin Sci (Lond)       Date:  2011-10       Impact factor: 6.124

6.  PGC-1alpha and ERRalpha target gene downregulation is a signature of the failing human heart.

Authors:  Smita Sihag; Sharon Cresci; Allie Y Li; Carmen C Sucharov; John J Lehman
Journal:  J Mol Cell Cardiol       Date:  2008-11-11       Impact factor: 5.000

7.  Identification of New SRF Binding Sites in Genes Modulated by SRF Over-Expression in Mouse Hearts.

Authors:  Xiaomin Zhang; Gohar Azhar; Scott Helms; Brian Burton; Chris Huang; Ying Zhong; Xuesong Gu; Hong Fang; Weida Tong; Jeanne Y Wei
Journal:  Gene Regul Syst Bio       Date:  2011-07-12

Review 8.  Glucocorticoid Signaling and the Aging Heart.

Authors:  Diana Cruz-Topete; Robert H Oakley; John A Cidlowski
Journal:  Front Endocrinol (Lausanne)       Date:  2020-05-27       Impact factor: 5.555

9.  A model selection approach to discover age-dependent gene expression patterns using quantile regression models.

Authors:  Joshua W K Ho; Maurizio Stefani; Cristobal G dos Remedios; Michael A Charleston
Journal:  BMC Genomics       Date:  2009-12-03       Impact factor: 3.969

10.  Moderate Modulation of Cardiac PGC-1α Expression Partially Affects Age-Associated Transcriptional Remodeling of the Heart.

Authors:  Natasha Whitehead; Jonathan F Gill; Marijke Brink; Christoph Handschin
Journal:  Front Physiol       Date:  2018-03-21       Impact factor: 4.566

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