JOURNAL ARTICLE
Impact of Aging and Lifelong Exercise Training on Mitochondrial Function and Network Connectivity in Human Skeletal Muscle.
Published In: Journals of Gerontology Series A: Biological Sciences & Medical Sciences, 2023, v. 78, n. 3. P. 373 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Ringholm, Stine; Gudiksen, Anders; Halling, Jens Frey; Qoqaj, Albina; Rasmussen, Philip Meizner; Prats, Clara; Plomgaard, Peter; Pilegaard, Henriette 3 of 3
Abstract
This article investigates the effects of volume-dependent lifelong endurance exercise training on mitochondrial function and network connectivity in aging human skeletal muscle. The study found that healthy aging alone did not significantly impair mitochondrial content, function, or network structure, except for a decline in ADP sensitivity. However, older men engaging in high-volume lifelong endurance exercise exhibited increased mitochondrial oxidative capacity, greater mitochondrial volume and connectivity, and higher protein levels of ADP/ATP exchangers (ANT1 + 2 and VDAC1) and the antioxidant enzyme SOD2 compared to untrained or moderately trained peers. Additionally, mitochondrial reactive oxygen species (ROS) emission and markers of oxidative damage were not elevated with age or altered by exercise training. These findings suggest that high-volume endurance exercise may enhance mitochondrial quality and function in older adults, potentially contributing to improved muscle performance and metabolic health.
Additional Information
- Source:Journals of Gerontology Series A: Biological Sciences & Medical Sciences. 2023/03, Vol. 78, Issue 3, p373
- Document Type:Article
- Subject Area:Anatomy and Physiology
- Publication Date:2023
- ISSN:1079-5006
- DOI:10.1093/gerona/glac164
- Accession Number:162161820
- Copyright Statement:Copyright of Journals of Gerontology Series A: Biological Sciences & Medical Sciences is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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