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Network analysis of human muscle adaptation to aging and contraction

Willis, Craig R.G. (författare)
Department of Sport and Health Sciences, College of Life and Environmental Sciences, University of Exeter, Exeter, UK
Ames, Ryan M. (författare)
Biosciences, University of Exeter, Exeter, UK
Deane, Colleen S. (författare)
Department of Sport and Health Sciences, College of Life and Environmental Sciences, University of Exeter, Exeter, UK
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Phillips, Bethan E. (författare)
MRC-ARUK Centre for Musculoskeletal aging Research and National Institute of Health Research, Biomedical Research Centre, Royal Derby Hospital Centre, School of Medicine, University of Nottingham, Derby, UK
Boereboom, Catherine L. (författare)
MRC-ARUK Centre for Musculoskeletal aging Research and National Institute of Health Research, Biomedical Research Centre, Royal Derby Hospital Centre, School of Medicine, University of Nottingham, Derby, UK
Abdulla, Haitham (författare)
MRC-ARUK Centre for Musculoskeletal aging Research and National Institute of Health Research, Biomedical Research Centre, Royal Derby Hospital Centre, School of Medicine, University of Nottingham, Derby, UK
Bukhari, Syed S.I. (författare)
MRC-ARUK Centre for Musculoskeletal aging Research and National Institute of Health Research, Biomedical Research Centre, Royal Derby Hospital Centre, School of Medicine, University of Nottingham, Derby, UK
Lund, Jonathan N (författare)
Department of Surgery, Postgraduate Entry Medical School, Royal Derby Hospital Centre, School of Medicine, University of Nottingham, Derby, UK; Department of Surgery, Postgraduate Entry Medical School, Royal Derby Hospital Centre, School of Medicine, University of Nottingham, Derby, UK
Williams, John P. (författare)
MRC-ARUK Centre for Musculoskeletal aging Research and National Institute of Health Research, Biomedical Research Centre, Royal Derby Hospital Centre, School of Medicine, University of Nottingham, Derby, UK
Wilkinson, Daniel J. (författare)
MRC-ARUK Centre for Musculoskeletal aging Research and National Institute of Health Research, Biomedical Research Centre, Royal Derby Hospital Centre, School of Medicine, University of Nottingham, Derby, UK
Smith, Kenneth (författare)
MRC-ARUK Centre for Musculoskeletal aging Research and National Institute of Health Research, Biomedical Research Centre, Royal Derby Hospital Centre, School of Medicine, University of Nottingham, Derby, UK
Kadi, Fawzi, 1970- (författare)
Örebro universitet,Institutionen för hälsovetenskaper
Szewczyk, Nathaniel J. (författare)
MRC-ARUK Centre for Musculoskeletal aging Research and National Institute of Health Research, Biomedical Research Centre, Royal Derby Hospital Centre, School of Medicine, University of Nottingham, Derby, UK
Atherton, Philip J. (författare)
MRC-ARUK Centre for Musculoskeletal aging Research and National Institute of Health Research, Biomedical Research Centre, Royal Derby Hospital Centre, School of Medicine, University of Nottingham, Derby, UK
Etheridge, Timothy (författare)
Department of Sport and Health Sciences, College of Life and Environmental Sciences, University of Exeter, Exeter, UK
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 (creator_code:org_t)
2020-01-07
2020
Engelska.
Ingår i: Aging. - : Impact Journals LLC. - 1945-4589 .- 1945-4589. ; 12:1, s. 740-755
Relaterad länk:
https://doi.org/10.1...
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https://doi.org/10.1...
https://urn.kb.se/re...
https://doi.org/10.1...
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  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Resistance exercise (RE) remains a primary approach for minimising aging muscle decline. Understanding muscle adaptation to individual contractile components of RE (eccentric, concentric) might optimise RE-based intervention strategies. Herein, we employed a network-driven pipeline to identify putative molecular drivers of muscle aging and contraction mode responses. RNA-sequencing data was generated from young (21±1 y) and older (70±1 y) human skeletal muscle before and following acute unilateral concentric and contralateral eccentric contractions. Application of weighted gene co-expression network analysis identified 33 distinct gene clusters ('modules') with an expression profile regulated by aging, contraction and/or linked to muscle strength. These included two contraction 'responsive' modules (related to 'cell adhesion' and 'transcription factor' processes) that also correlated with the magnitude of post-exercise muscle strength decline. Module searches for 'hub' genes and enriched transcription factor binding sites established a refined set of candidate module-regulatory molecules (536 hub genes and 60 transcription factors) as possible contributors to muscle aging and/or contraction responses. Thus, network-driven analysis can identify new molecular candidates of functional relevance to muscle aging and contraction mode adaptations.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Geriatrik (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Geriatrics (hsv//eng)

Nyckelord

Aging
candidate target discovery
contraction
network analysis
skeletal muscle

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  • Aging (Sök värdpublikationen i LIBRIS)

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