NDLI: Blood and skeletal muscle ageing determined by epigenetic clocks and their associations with physical activity and functioning

Content Provider	Springer Nature : BioMed Central
Author	Sillanpää, Elina Heikkinen, Aino Kankaanpää, Anna Paavilainen, Aini Kujala, Urho M. Tammelin, Tuija H. Kovanen, Vuokko Sipilä, Sarianna Pietiläinen, Kirsi H. Kaprio, Jaakko Ollikainen, Miina Laakkonen, Eija K.
Abstract	The aim of this study was to investigate the correspondence of different biological ageing estimates (i.e. epigenetic age) in blood and muscle tissue and their associations with physical activity (PA), physical function and body composition. Two independent cohorts (N = 139 and N = 47) were included, whose age span covered adulthood (23–69 years). Whole blood and m. vastus lateralis samples were collected, and DNA methylation was analysed. Four different DNA methylation age (DNAmAge) estimates were calculated using genome-wide methylation data and publicly available online tools. A novel muscle-specific methylation age was estimated using the R-package ‘MEAT’. PA was measured with questionnaires and accelerometers. Several tests were conducted to estimate cardiorespiratory fitness and muscle strength. Body composition was estimated by dual-energy X-ray absorptiometry. DNAmAge estimates from blood and muscle were highly correlated with chronological age, but different age acceleration estimates were weakly associated with each other. The monozygotic twin within-pair similarity of ageing pace was higher in blood (r = 0.617–0.824) than in muscle (r = 0.523–0.585). Associations of age acceleration estimates with PA, physical function and body composition were weak in both tissues and mostly explained by smoking and sex. The muscle-specific epigenetic clock MEAT was developed to predict chronological age, which may explain why it did not associate with functional phenotypes. The Horvath’s clock and GrimAge were weakly associated with PA and related phenotypes, suggesting that higher PA would be linked to accelerated biological ageing in muscle. This may, however, be more reflective of the low capacity of epigenetic clock algorithms to measure functional muscle ageing than of actual age acceleration. Based on our results, the investigated epigenetic clocks have rather low value in estimating muscle ageing with respect to the physiological adaptations that typically occur due to ageing or PA. Thus, further development of methods is needed to gain insight into muscle tissue-specific ageing and the underlying biological pathways.
Related Links	https://clinicalepigeneticsjournal.biomedcentral.com/counter/pdf/10.1186/s13148-021-01094-6.pdf
Ending Page	15
Page Count	15
Starting Page	1
File Format	HTM / HTML
ISSN	18687083
DOI	10.1186/s13148-021-01094-6
Journal	Clinical Epigenetics
Issue Number	1
Volume Number	13
Language	English
Publisher	BioMed Central
Publisher Date	2021-05-17
Access Restriction	Open
Subject Keyword	Human Genetics Gene Function DNA methylation Biological ageing Twin study Maximal oxygen consumption Muscle strength Dual-energy X-ray absorptiometry Muscle mass
Content Type	Text
Resource Type	Article
Subject	Molecular Biology Genetics (clinical) Developmental Biology Genetics
Journal Impact Factor	4.8/2023
5-Year Journal Impact Factor	5.8/2023

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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