Cargando…

Identification and Characterization of Genomic Predictors of Sarcopenia and Sarcopenic Obesity Using UK Biobank Data

The 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...

Descripción completa

Detalles Bibliográficos
Autores principales: Semenova, Ekaterina A., Pranckevičienė, Erinija, Bondareva, Elvira A., Gabdrakhmanova, Leysan J., Ahmetov, Ildus I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920138/
https://www.ncbi.nlm.nih.gov/pubmed/36771461
http://dx.doi.org/10.3390/nu15030758
_version_ 1784886996777304064
author Semenova, Ekaterina A.
Pranckevičienė, Erinija
Bondareva, Elvira A.
Gabdrakhmanova, Leysan J.
Ahmetov, Ildus I.
author_facet Semenova, Ekaterina A.
Pranckevičienė, Erinija
Bondareva, Elvira A.
Gabdrakhmanova, Leysan J.
Ahmetov, Ildus I.
author_sort Semenova, Ekaterina A.
collection PubMed
description The 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.
format Online
Article
Text
id pubmed-9920138
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-99201382023-02-12 Identification and Characterization of Genomic Predictors of Sarcopenia and Sarcopenic Obesity Using UK Biobank Data Semenova, Ekaterina A. Pranckevičienė, Erinija Bondareva, Elvira A. Gabdrakhmanova, Leysan J. Ahmetov, Ildus I. Nutrients Article The 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. MDPI 2023-02-02 /pmc/articles/PMC9920138/ /pubmed/36771461 http://dx.doi.org/10.3390/nu15030758 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Semenova, Ekaterina A.
Pranckevičienė, Erinija
Bondareva, Elvira A.
Gabdrakhmanova, Leysan J.
Ahmetov, Ildus I.
Identification and Characterization of Genomic Predictors of Sarcopenia and Sarcopenic Obesity Using UK Biobank Data
title Identification and Characterization of Genomic Predictors of Sarcopenia and Sarcopenic Obesity Using UK Biobank Data
title_full Identification and Characterization of Genomic Predictors of Sarcopenia and Sarcopenic Obesity Using UK Biobank Data
title_fullStr Identification and Characterization of Genomic Predictors of Sarcopenia and Sarcopenic Obesity Using UK Biobank Data
title_full_unstemmed Identification and Characterization of Genomic Predictors of Sarcopenia and Sarcopenic Obesity Using UK Biobank Data
title_short Identification and Characterization of Genomic Predictors of Sarcopenia and Sarcopenic Obesity Using UK Biobank Data
title_sort identification and characterization of genomic predictors of sarcopenia and sarcopenic obesity using uk biobank data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920138/
https://www.ncbi.nlm.nih.gov/pubmed/36771461
http://dx.doi.org/10.3390/nu15030758
work_keys_str_mv AT semenovaekaterinaa identificationandcharacterizationofgenomicpredictorsofsarcopeniaandsarcopenicobesityusingukbiobankdata
AT pranckevicieneerinija identificationandcharacterizationofgenomicpredictorsofsarcopeniaandsarcopenicobesityusingukbiobankdata
AT bondarevaelviraa identificationandcharacterizationofgenomicpredictorsofsarcopeniaandsarcopenicobesityusingukbiobankdata
AT gabdrakhmanovaleysanj identificationandcharacterizationofgenomicpredictorsofsarcopeniaandsarcopenicobesityusingukbiobankdata
AT ahmetovildusi identificationandcharacterizationofgenomicpredictorsofsarcopeniaandsarcopenicobesityusingukbiobankdata