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An Association between Diet and MC4R Genetic Polymorphism, in Relation to Obesity and Metabolic Parameters—A Cross Sectional Population-Based Study

The melanocortin-4 receptor (MC4R) gene harbours one of the strongest susceptibility loci for obesity and obesity-related metabolic consequences. We analysed whether dietary factors may attenuate the associations between MC4R genotypes and obesity and metabolic parameters. In 819 participants genoty...

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Autores principales: Adamska-Patruno, Edyta, Bauer, Witold, Bielska, Dorota, Fiedorczuk, Joanna, Moroz, Monika, Krasowska, Urszula, Czajkowski, Przemyslaw, Wielogorska, Marta, Maliszewska, Katarzyna, Puckowska, Sylwia, Szczerbinski, Lukasz, Lipinska, Danuta, Gorska, Maria, Kretowski, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8584592/
https://www.ncbi.nlm.nih.gov/pubmed/34769477
http://dx.doi.org/10.3390/ijms222112044
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author Adamska-Patruno, Edyta
Bauer, Witold
Bielska, Dorota
Fiedorczuk, Joanna
Moroz, Monika
Krasowska, Urszula
Czajkowski, Przemyslaw
Wielogorska, Marta
Maliszewska, Katarzyna
Puckowska, Sylwia
Szczerbinski, Lukasz
Lipinska, Danuta
Gorska, Maria
Kretowski, Adam
author_facet Adamska-Patruno, Edyta
Bauer, Witold
Bielska, Dorota
Fiedorczuk, Joanna
Moroz, Monika
Krasowska, Urszula
Czajkowski, Przemyslaw
Wielogorska, Marta
Maliszewska, Katarzyna
Puckowska, Sylwia
Szczerbinski, Lukasz
Lipinska, Danuta
Gorska, Maria
Kretowski, Adam
author_sort Adamska-Patruno, Edyta
collection PubMed
description The melanocortin-4 receptor (MC4R) gene harbours one of the strongest susceptibility loci for obesity and obesity-related metabolic consequences. We analysed whether dietary factors may attenuate the associations between MC4R genotypes and obesity and metabolic parameters. In 819 participants genotyped for common MC4R polymorphisms (rs17782313, rs12970134, rs633265, and rs135034), the anthropometric measurements, body fat content and distribution (visceral and subcutaneous adipose tissue, VAT and SAT, respectively), and blood glucose, insulin, total-, LDL-, HDL-cholesterol, triglycerides concentrations, and daily macronutrient intake were assessed. ANOVA or Kruskal–Wallis tests were used, and multivariate linear regression models were developed. We observed that the CC genotype carriers (rs17782313) presented higher VAT, VAT/SAT ratio, fasting blood glucose and triglyceride concentrations when they were stratified to the upper quantiles of protein intake. An increase in energy derived from proteins was associated with higher BMI (Est. 5.74, R(2) = 0.12), body fat content (Est. 8.44, R(2) = 0.82), VAT (Est. 32.59, R(2) = 0.06), and VAT/SAT ratio (Est. 0.96, R(2) = 0.05). The AA genotype carriers (rs12970134) presented higher BMI, body fat, SAT and VAT, fasting blood glucose, triglycerides and total cholesterol concentrations. An increase in energy derived from proteins by AA carriers was associated with higher VAT (Est.19.95, R(2) = 0.06) and VAT/SAT ratio (Est. 0.64, R(2) = 0.05). Our findings suggest that associations of the common MC4R SNPs with obesity and its metabolic complications may be dependent on the daily dietary intake, which may open new areas for developing personalised diets for preventing and treating obesity and obesity-related comorbidities.
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spelling pubmed-85845922021-11-12 An Association between Diet and MC4R Genetic Polymorphism, in Relation to Obesity and Metabolic Parameters—A Cross Sectional Population-Based Study Adamska-Patruno, Edyta Bauer, Witold Bielska, Dorota Fiedorczuk, Joanna Moroz, Monika Krasowska, Urszula Czajkowski, Przemyslaw Wielogorska, Marta Maliszewska, Katarzyna Puckowska, Sylwia Szczerbinski, Lukasz Lipinska, Danuta Gorska, Maria Kretowski, Adam Int J Mol Sci Article The melanocortin-4 receptor (MC4R) gene harbours one of the strongest susceptibility loci for obesity and obesity-related metabolic consequences. We analysed whether dietary factors may attenuate the associations between MC4R genotypes and obesity and metabolic parameters. In 819 participants genotyped for common MC4R polymorphisms (rs17782313, rs12970134, rs633265, and rs135034), the anthropometric measurements, body fat content and distribution (visceral and subcutaneous adipose tissue, VAT and SAT, respectively), and blood glucose, insulin, total-, LDL-, HDL-cholesterol, triglycerides concentrations, and daily macronutrient intake were assessed. ANOVA or Kruskal–Wallis tests were used, and multivariate linear regression models were developed. We observed that the CC genotype carriers (rs17782313) presented higher VAT, VAT/SAT ratio, fasting blood glucose and triglyceride concentrations when they were stratified to the upper quantiles of protein intake. An increase in energy derived from proteins was associated with higher BMI (Est. 5.74, R(2) = 0.12), body fat content (Est. 8.44, R(2) = 0.82), VAT (Est. 32.59, R(2) = 0.06), and VAT/SAT ratio (Est. 0.96, R(2) = 0.05). The AA genotype carriers (rs12970134) presented higher BMI, body fat, SAT and VAT, fasting blood glucose, triglycerides and total cholesterol concentrations. An increase in energy derived from proteins by AA carriers was associated with higher VAT (Est.19.95, R(2) = 0.06) and VAT/SAT ratio (Est. 0.64, R(2) = 0.05). Our findings suggest that associations of the common MC4R SNPs with obesity and its metabolic complications may be dependent on the daily dietary intake, which may open new areas for developing personalised diets for preventing and treating obesity and obesity-related comorbidities. MDPI 2021-11-07 /pmc/articles/PMC8584592/ /pubmed/34769477 http://dx.doi.org/10.3390/ijms222112044 Text en © 2021 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
Adamska-Patruno, Edyta
Bauer, Witold
Bielska, Dorota
Fiedorczuk, Joanna
Moroz, Monika
Krasowska, Urszula
Czajkowski, Przemyslaw
Wielogorska, Marta
Maliszewska, Katarzyna
Puckowska, Sylwia
Szczerbinski, Lukasz
Lipinska, Danuta
Gorska, Maria
Kretowski, Adam
An Association between Diet and MC4R Genetic Polymorphism, in Relation to Obesity and Metabolic Parameters—A Cross Sectional Population-Based Study
title An Association between Diet and MC4R Genetic Polymorphism, in Relation to Obesity and Metabolic Parameters—A Cross Sectional Population-Based Study
title_full An Association between Diet and MC4R Genetic Polymorphism, in Relation to Obesity and Metabolic Parameters—A Cross Sectional Population-Based Study
title_fullStr An Association between Diet and MC4R Genetic Polymorphism, in Relation to Obesity and Metabolic Parameters—A Cross Sectional Population-Based Study
title_full_unstemmed An Association between Diet and MC4R Genetic Polymorphism, in Relation to Obesity and Metabolic Parameters—A Cross Sectional Population-Based Study
title_short An Association between Diet and MC4R Genetic Polymorphism, in Relation to Obesity and Metabolic Parameters—A Cross Sectional Population-Based Study
title_sort association between diet and mc4r genetic polymorphism, in relation to obesity and metabolic parameters—a cross sectional population-based study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8584592/
https://www.ncbi.nlm.nih.gov/pubmed/34769477
http://dx.doi.org/10.3390/ijms222112044
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