Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/6803
Title: Relationship between genetic ancestry and metabolic syndrome in community-dwelling old adults
Authors: Silva Oliveira, Jamille
Novaes Miranda, Gabriel
J.S. Ribeiro, Icaro
Keywords: Molecular biology
Obesity
Glycemic control
Metabolism
Issue Date: 2023
Abstract: Relationship between genetic ancestry and metabolic syndrome in community-dwelling old adults Jamille Silva Oliveira a,b,c, Gabriel Novaes Miranda a, Icaro J.S. Ribeiro a,b,d, Ivna Vidal Freire a,b,c, Cezar Augusto Casotti b, Ana Ang´elica Leal Barbosa a,c, Rafael Pereira a,b,c,* a Integrative Physiology Research Center, Department of Biological Sciences, Universidade Estadual do Sudoeste da Bahia (UESB), Jequie, 45210-506, Bahia, Brazil b Postgraduate Program in Nursing and Health, Universidade Estadual do Sudoeste da Bahia (UESB), Jequie, 45210-506, Bahia, Brazil c Laboratory of Human Biology and Genetics, Universidade Estadual do Sudoeste da Bahia (UESB), Jequie, 45210-506, Bahia, Brazil d Professional Master’s Program in Nursing, Universidade Estadual de Santa Cruz (UESC), Ilheus, 45662-900, Bahia, Brazil A R T I C L E I N F O Handling Editor: Prof A Angelo Azzi Keywords: Molecular biology Obesity Glycemic control Metabolism A B S T R A C T Genetic ancestry may contribute to ethnic differences in the risk of metabolic disorders. Aging leads to a worse ability for homeostasis maintenance, favoring the establishment of metabolic disorders. Purpose: This study aimed to evaluate the relationship between the degree of genetic ancestry (European, African, and Amerindian) with the Metabolic Syndrome (MetS) diagnosis and its diagnostic components separately, in community-dwelling old adults. One hundred and sixty-one community-dwelling old adults volunteered in this study. Sociodemographic data and health history were recorded. Venous blood samples were withdrawal for biochemical analysis and DNA extraction aiming to obtain genetic ancestry estimates (Amerindian [AME], European [EUR], and African [AFR]), which was done from 12 loci. MetS diagnosis followed the NCEP-ATPIII criteria. Additionally, the sample was stratified according to the presence or absence of each criterion used for MetS diagnosis (i.e., Type 2 diabetes mellitus (T2DM), hypertension, hypertriglyceridemia, dyslipidemia [low HDL], and central obesity (elevated waist circumference)). Comparisons of genetic ancestry estimates were performed using the Mann-Whitney test, with the significance level set at p < 0.05. The prevalence of MetS was 40.4%. The degree AME, EUR and AFR genetic ancestry was not different between volunteers with or without MetS (p > 0.05). However, AME ancestry was significantly higher among diabetic volunteers (non-diabetics: 13.7% (6.3–35.8) x Diabetics: 26.1% (10.6–48.5); p < 0.05). Community-dwelling old adults with a higher percentage of Amerindian ancestry seem to be prone to T2DM diagnosis.
URI: http://localhost:8080/xmlui/handle/123456789/6803
Appears in Collections:Vol 2 2023

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