Identification and Characterization of Genomic Predictors of Sarcopenia and Sarcopenic Obesity Using UK Biobank DataстатьяИсследовательская статья
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Аннотация:first_pagesettingsOrder Article ReprintsOpen AccessArticleIdentification and Characterization of Genomic Predictors of Sarcopenia and Sarcopenic Obesity Using UK Biobank Databy Ekaterina A. Semenova 1,2ORCID,Erinija Pranckevičienė 3,4ORCID,Elvira A. Bondareva 1,Leysan J. Gabdrakhmanova 5 andIldus I. Ahmetov 1,5,6,7,*ORCID1Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia2Research Institute of Physical Culture and Sport, Volga Region State University of Physical Culture, Sport and Tourism, 420138 Kazan, Russia3Department of Human and Medical Genetics, Biomedical Science Institute, Faculty of Medicine, Vilnius University, LT-01513 Vilnius, Lithuania4Department of Systems Analysis, Faculty of Informatics, Vytautas Magnus University, LT-44404 Kaunas, Lithuania5Laboratory of Genetics of Aging and Longevity, Kazan State Medical University, 420012 Kazan, Russia6Department of Physical Education, Plekhanov Russian University of Economics, 115093 Moscow, Russia7Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool L3 5AF, UK*Author to whom correspondence should be addressed.Nutrients 2023, 15(3), 758; https://doi.org/10.3390/nu15030758Received: 30 December 2022 / Revised: 28 January 2023 / Accepted: 31 January 2023 / Published: 2 February 2023(This article belongs to the Section Nutritional Epidemiology)Download Browse Figure Versions NotesAbstractThe substantial decline in skeletal muscle mass, strength, and gait speed is a sign of severe sarcopenia, which may partly depend on genetic risk factors. So far, hundreds of genome-wide significant single nucleotide polymorphisms (SNPs) associated with handgrip strength, lean mass and walking pace have been identified in the UK Biobank cohort; however, their pleiotropic effects on all three phenotypes have not been investigated. By combining summary statistics of genome-wide association studies (GWAS) of handgrip strength, lean mass and walking pace, we have identified 78 independent SNPs (from 73 loci) associated with all three traits with consistent effect directions. Of the 78 SNPs, 55 polymorphisms were also associated with body fat percentage and 25 polymorphisms with type 2 diabetes (T2D), indicating that sarcopenia, obesity and T2D share many common risk alleles. Follow-up bioinformatic analysis revealed that sarcopenia risk alleles were associated with tiredness, falls in the last year, neuroticism, alcohol intake frequency, smoking, time spent watching television, higher salt, white bread, and processed meat intake; whereas protective alleles were positively associated with bone mineral density, serum testosterone, IGF1, and 25-hydroxyvitamin D levels, height, intelligence, cognitive performance, educational attainment, income, physical activity, ground coffee drinking and healthier diet (muesli, cereal, wholemeal or wholegrain bread, potassium, magnesium, cheese, oily fish, protein, water, fruit, and vegetable intake). Furthermore, the literature data suggest that single-bout resistance exercise may induce significant changes in the expression of 26 of the 73 implicated genes in m. vastus lateralis, which may partly explain beneficial effects of strength training in the prevention and treatment of sarcopenia. In conclusion, we have identified and characterized 78 SNPs associated with sarcopenia and 55 SNPs with sarcopenic obesity in European-ancestry individuals from the UK Biobank.Keywords: sarcopenia; sarcopenic obesity; genetics; DNA; nutrition; physical activity; testosterone; height; fat-free mass; weakness