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Exp Gerontol. 2018 Oct 1;111:17-26. doi: 10.1016/j.exger.2018.06.030. Epub 2018 Jul 4.

Genetic predisposition score predicts the increases of knee strength and muscle mass after one-year exercise in healthy elderly.

Author information

1
Department of Movement Sciences, Physical Activity, Sports & Health Research Group, KU Leuven, Leuven, Belgium; Department of Rehabilitation Sciences, MusculoSkeletal Rehabilitation Research Group, KU Leuven, Leuven, Belgium.
2
Department of Movement Sciences, Physical Activity, Sports & Health Research Group, KU Leuven, Leuven, Belgium.
3
Department of Exercise and Sport Science, Health Exercise and Active Living Research Centre, Manchester Metropolitan University, Crewe, UK.
4
Department of Rehabilitation Sciences, MusculoSkeletal Rehabilitation Research Group, KU Leuven, Leuven, Belgium.
5
Department of Movement Sciences, Physical Activity, Sports & Health Research Group, KU Leuven, Leuven, Belgium. Electronic address: martine.thomis@kuleuven.be.

Abstract

This study aims to identify a genetic predisposition score from a set of candidate gene variants that predicts the response to a one-year exercise intervention. 200 participants (aged 60-83 years) were randomly assigned to a fitness (FIT), whole-body vibration (WBV) and control group. Participants in the exercise (FIT and WBV) groups performed a one-year intervention program. Whole-body skeletal muscle mass (SMM) and isometric knee extension strength (PTIM60) were measured before and after the intervention. A set of 170 muscle-related single nucleotide polymorphisms (SNPs) were genotyped. Stepwise regression analysis was applied to select significantly contributing SNPs for baseline and relative change parameters. A data-driven genetic predisposition score (GPS) was calculated by adding up predisposing alleles for each of the phenotypes. GPS was calculated based on 4 to 8 SNPs which were significantly related to the corresponding phenotypes. These SNPs belong to genes that are involved in myoblast differentiation, muscle and bone growth, myofiber contraction, cytokines and DNA methylation. GPS was related to baseline PTIM60 and relative changes of SMM and PTIM60 in the exercise groups, explaining the variance of the corresponding parameter by 3.2%, 14% and 27%, respectively. Adding one increasing allele in the GPS increased baseline PTIM60 by 4.73 Nm, and exercise-induced relative changes of SMM and PTIM60 by 1.78% and 3.86% respectively. The identified genetic predisposition scores were positively related to baseline knee extension strength and muscle adaptations to exercise in healthy elderly. These findings provide supportive genetic explanations for high and low responders in exercise-induced muscle adaptations.

KEYWORDS:

Aging; Exercise; Genetic predisposition score; Muscle adaptations

PMID:
29991458
DOI:
10.1016/j.exger.2018.06.030
[Indexed for MEDLINE]

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