Journal article
Microarray Analysis Reveals Novel Features of the Muscle Aging Process in Men and Women
The journals of gerontology. Series A, Biological sciences and medical sciences, Vol.68(9), pp.1035-1044
09/2013
DOI: 10.1093/gerona/glt015
PMCID: PMC3826860
PMID: 23418191
Abstract
To develop a global view of muscle transcriptional differences between older men and women and sex-specific aging, we obtained muscle biopsies from the biceps brachii of young and older men and women and profiled the whole-genome gene expression using microarray. A logistic regression-based method in combination with an intensity-based Bayesian moderated
t
test was used to identify significant sex- and aging-related gene functional groups. Our analysis revealed extensive sex differences in the muscle transcriptome of older individuals and different patterns of transcriptional changes with aging in men and women. In older women, we observed a coordinated transcriptional upregulation of immune activation, extracellular matrix remodeling, and lipids storage; and a downregulation of mitochondrial biogenesis and function and muscle regeneration. The effect of aging results in sexual dimorphic alterations in the skeletal muscle transcriptome, which may modify the risk for developing musculoskeletal and metabolic diseases in men and women.
Details
- Title: Subtitle
- Microarray Analysis Reveals Novel Features of the Muscle Aging Process in Men and Women
- Creators
- Dongmei Liu - ,Maureen A Sartor - ,Gustavo A Nader - ,Emidio E Pistilli - ,Leah Tanton - ,Charles Lilly - ,Laurie Gutmann - ,Heidi B IglayReger - ,Paul S Visich - ,Eric P Hoffman - ,Paul M Gordon - ,
- Resource Type
- Journal article
- Publication Details
- The journals of gerontology. Series A, Biological sciences and medical sciences, Vol.68(9), pp.1035-1044
- Publisher
- Oxford University Press; US
- DOI
- 10.1093/gerona/glt015
- PMID
- 23418191
- PMCID
- PMC3826860
- ISSN
- 1079-5006
- eISSN
- 1758-535X
- Language
- English
- Date published
- 09/2013
- Academic Unit
- Neurology
- Record Identifier
- 9984013278102771
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