An Association between Diet and <i>MC4R</i> 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 <i>MC4R</i> genotypes and obesity and metabolic parameters. In 819...

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Autores principales: Edyta Adamska-Patruno, Witold Bauer, Dorota Bielska, Joanna Fiedorczuk, Monika Moroz, Urszula Krasowska, Przemyslaw Czajkowski, Marta Wielogorska, Katarzyna Maliszewska, Sylwia Puckowska, Lukasz Szczerbinski, Danuta Lipinska, Maria Gorska, Adam Kretowski
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spelling oai:doaj.org-article:89fe6d5667f940c2b3aad37fa4f2172a2021-11-11T17:26:42ZAn Association between Diet and <i>MC4R</i> Genetic Polymorphism, in Relation to Obesity and Metabolic Parameters—A Cross Sectional Population-Based Study10.3390/ijms2221120441422-00671661-6596https://doaj.org/article/89fe6d5667f940c2b3aad37fa4f2172a2021-11-01T00:00:00Zhttps://www.mdpi.com/1422-0067/22/21/12044https://doaj.org/toc/1661-6596https://doaj.org/toc/1422-0067The 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 <i>MC4R</i> genotypes and obesity and metabolic parameters. In 819 participants genotyped for common <i>MC4R</i> 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<sup>2</sup> = 0.12), body fat content (Est. 8.44, R<sup>2</sup> = 0.82), VAT (Est. 32.59, R<sup>2</sup> = 0.06), and VAT/SAT ratio (Est. 0.96, R<sup>2</sup> = 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<sup>2</sup> = 0.06) and VAT/SAT ratio (Est. 0.64, R<sup>2</sup> = 0.05). Our findings suggest that associations of the common <i>MC4R</i> 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.Edyta Adamska-PatrunoWitold BauerDorota BielskaJoanna FiedorczukMonika MorozUrszula KrasowskaPrzemyslaw CzajkowskiMarta WielogorskaKatarzyna MaliszewskaSylwia PuckowskaLukasz SzczerbinskiDanuta LipinskaMaria GorskaAdam KretowskiMDPI AGarticle<i>MC4R</i> genegene–diet interactionsobesityobesity-related metabolic complicationsmacronutrients intakeBiology (General)QH301-705.5ChemistryQD1-999ENInternational Journal of Molecular Sciences, Vol 22, Iss 12044, p 12044 (2021)
institution DOAJ
collection DOAJ
language EN
topic <i>MC4R</i> gene
gene–diet interactions
obesity
obesity-related metabolic complications
macronutrients intake
Biology (General)
QH301-705.5
Chemistry
QD1-999
spellingShingle <i>MC4R</i> gene
gene–diet interactions
obesity
obesity-related metabolic complications
macronutrients intake
Biology (General)
QH301-705.5
Chemistry
QD1-999
Edyta Adamska-Patruno
Witold Bauer
Dorota Bielska
Joanna Fiedorczuk
Monika Moroz
Urszula Krasowska
Przemyslaw Czajkowski
Marta Wielogorska
Katarzyna Maliszewska
Sylwia Puckowska
Lukasz Szczerbinski
Danuta Lipinska
Maria Gorska
Adam Kretowski
An Association between Diet and <i>MC4R</i> Genetic Polymorphism, in Relation to Obesity and Metabolic Parameters—A Cross Sectional Population-Based Study
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 <i>MC4R</i> genotypes and obesity and metabolic parameters. In 819 participants genotyped for common <i>MC4R</i> 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<sup>2</sup> = 0.12), body fat content (Est. 8.44, R<sup>2</sup> = 0.82), VAT (Est. 32.59, R<sup>2</sup> = 0.06), and VAT/SAT ratio (Est. 0.96, R<sup>2</sup> = 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<sup>2</sup> = 0.06) and VAT/SAT ratio (Est. 0.64, R<sup>2</sup> = 0.05). Our findings suggest that associations of the common <i>MC4R</i> 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.
format article
author Edyta Adamska-Patruno
Witold Bauer
Dorota Bielska
Joanna Fiedorczuk
Monika Moroz
Urszula Krasowska
Przemyslaw Czajkowski
Marta Wielogorska
Katarzyna Maliszewska
Sylwia Puckowska
Lukasz Szczerbinski
Danuta Lipinska
Maria Gorska
Adam Kretowski
author_facet Edyta Adamska-Patruno
Witold Bauer
Dorota Bielska
Joanna Fiedorczuk
Monika Moroz
Urszula Krasowska
Przemyslaw Czajkowski
Marta Wielogorska
Katarzyna Maliszewska
Sylwia Puckowska
Lukasz Szczerbinski
Danuta Lipinska
Maria Gorska
Adam Kretowski
author_sort Edyta Adamska-Patruno
title An Association between Diet and <i>MC4R</i> Genetic Polymorphism, in Relation to Obesity and Metabolic Parameters—A Cross Sectional Population-Based Study
title_short An Association between Diet and <i>MC4R</i> Genetic Polymorphism, in Relation to Obesity and Metabolic Parameters—A Cross Sectional Population-Based Study
title_full An Association between Diet and <i>MC4R</i> Genetic Polymorphism, in Relation to Obesity and Metabolic Parameters—A Cross Sectional Population-Based Study
title_fullStr An Association between Diet and <i>MC4R</i> Genetic Polymorphism, in Relation to Obesity and Metabolic Parameters—A Cross Sectional Population-Based Study
title_full_unstemmed An Association between Diet and <i>MC4R</i> Genetic Polymorphism, in Relation to Obesity and Metabolic Parameters—A Cross Sectional Population-Based Study
title_sort association between diet and <i>mc4r</i> genetic polymorphism, in relation to obesity and metabolic parameters—a cross sectional population-based study
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/89fe6d5667f940c2b3aad37fa4f2172a
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