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

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dc.contributor.author Sillanpää, Elina
dc.contributor.author Heikkinen, Aino
dc.contributor.author Kankaanpää, Anna
dc.contributor.author Paavilainen, Aini
dc.contributor.author Kujala, Urho M.
dc.contributor.author Tammelin, Tuija H.
dc.contributor.author Kovanen, Vuokko
dc.contributor.author Sipilä, Sarianna
dc.contributor.author Pietiläinen, Kirsi H.
dc.contributor.author Kaprio, Jaakko
dc.contributor.author Ollikainen, Miina
dc.contributor.author Laakkonen, Eija K.
dc.date.accessioned 2021-05-24T06:28:07Z
dc.date.available 2021-05-24T06:28:07Z
dc.date.issued 2021-05-17
dc.identifier.citation Clinical Epigenetics. 2021 May 17;13(1):110
dc.identifier.uri http://hdl.handle.net/10138/330190
dc.description.abstract 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.
dc.publisher BioMed Central
dc.subject DNA methylation
dc.subject Biological ageing
dc.subject Twin study
dc.subject Maximal oxygen consumption
dc.subject Muscle strength
dc.subject Dual-energy X-ray absorptiometry
dc.subject Muscle mass
dc.title Blood and skeletal muscle ageing determined by epigenetic clocks and their associations with physical activity and functioning
dc.date.updated 2021-05-24T06:28:07Z
dc.language.rfc3066 en
dc.rights.holder The Author(s)
dc.type.uri http://purl.org/eprint/entityType/ScholarlyWork
dc.type.uri http://purl.org/eprint/entityType/Expression
dc.type.uri http://purl.org/eprint/type/JournalArticle

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