Genetic variants in the SLC16A11 gene are associated with increased BMI and insulin levels in nondiabetic Chilean population

Detalhes bibliográficos
Autor(a) principal: Mardones,Lorena
Data de Publicação: 2021
Outros Autores: Petermann-Rocha,Fanny, Martinez-Sanguinetti,Maria Adela, Leiva,Ana Maria, Troncoso-Pantoja,Claudia, Martorell,Miquel, Lasserre,Nicole, Ulloa,Natalia, Perez-Bravo,Francisco, Celis-Morales,Carlos, Villagran,Marcelo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Arquivos de Endocrinologia e Metabolismo (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972021000300305
Resumo: ABSTRACT Objective: To study the association of SLC16A11 gene variants with obesity and metabolic markers in nondiabetic Chilean adults. Materials and methods: This cross-sectional study included 263 non-diabetic adults. The genotype of the rs75493593 polymorphism of SLC16A11 gene was performed by real-time PCR. It's association with adiposity markers (body weight, BMI, waist circumference and fat mass percentage), metabolic markers (glucose, insulin, HOMAIR, leptin, total cholesterol, LDLc, HDLc, triglycerides, ALT, GGT and hsCRP) and blood pressure was analyzed by linear regression. Results: The minor allele (T) of the SLC16A11 gene (rs75493593) has a frequency of 29.7% among Chileans. Risk genotypes (GT and TT) were associated with a significant 1.49 mU/l increase in plasmatic insulin for each copy of the minor allele (95% CI: 0.12, 2.87, p < 0.05). This association remained significant after adjusting for socio-demographic variables, physical activity and smoking (1.36 mU/l, 95% CI: 0.16, 2.58 p < 0.05), but was lost when BMI was included as a confounding factor. Higher BMI was also significantly associated with polymorphic genotypes in SLC16A11, independent of socio-demographic variables. Conclusion: The minor allele of the SLC16A11 gene (T) is highly prevalent among Chileans and is associated with increased insulin and BMI in nondiabetic individuals. These findings suggest that the genetic variant in SLC16A11 is not only associated with type 2 diabetes as previously shown in Mexicans, but is also related to early metabolic alterations in healthy subjects that may lead to type 2 diabetes.
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spelling Genetic variants in the SLC16A11 gene are associated with increased BMI and insulin levels in nondiabetic Chilean populationSLC16A11diabetes mellitus type 2obesitymonocarboxylate transporterhyperinsulinemiaABSTRACT Objective: To study the association of SLC16A11 gene variants with obesity and metabolic markers in nondiabetic Chilean adults. Materials and methods: This cross-sectional study included 263 non-diabetic adults. The genotype of the rs75493593 polymorphism of SLC16A11 gene was performed by real-time PCR. It's association with adiposity markers (body weight, BMI, waist circumference and fat mass percentage), metabolic markers (glucose, insulin, HOMAIR, leptin, total cholesterol, LDLc, HDLc, triglycerides, ALT, GGT and hsCRP) and blood pressure was analyzed by linear regression. Results: The minor allele (T) of the SLC16A11 gene (rs75493593) has a frequency of 29.7% among Chileans. Risk genotypes (GT and TT) were associated with a significant 1.49 mU/l increase in plasmatic insulin for each copy of the minor allele (95% CI: 0.12, 2.87, p < 0.05). This association remained significant after adjusting for socio-demographic variables, physical activity and smoking (1.36 mU/l, 95% CI: 0.16, 2.58 p < 0.05), but was lost when BMI was included as a confounding factor. Higher BMI was also significantly associated with polymorphic genotypes in SLC16A11, independent of socio-demographic variables. Conclusion: The minor allele of the SLC16A11 gene (T) is highly prevalent among Chileans and is associated with increased insulin and BMI in nondiabetic individuals. These findings suggest that the genetic variant in SLC16A11 is not only associated with type 2 diabetes as previously shown in Mexicans, but is also related to early metabolic alterations in healthy subjects that may lead to type 2 diabetes.Sociedade Brasileira de Endocrinologia e Metabologia2021-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972021000300305Archives of Endocrinology and Metabolism v.65 n.3 2021reponame:Arquivos de Endocrinologia e Metabolismo (Online)instname:Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)instacron:SBEM10.20945/2359-3997000000359info:eu-repo/semantics/openAccessMardones,LorenaPetermann-Rocha,FannyMartinez-Sanguinetti,Maria AdelaLeiva,Ana MariaTroncoso-Pantoja,ClaudiaMartorell,MiquelLasserre,NicoleUlloa,NataliaPerez-Bravo,FranciscoCelis-Morales,CarlosVillagran,Marceloeng2021-07-06T00:00:00Zoai:scielo:S2359-39972021000300305Revistahttps://www.aem-sbem.com/https://old.scielo.br/oai/scielo-oai.php||aem.editorial.office@endocrino.org.br2359-42922359-3997opendoar:2021-07-06T00:00Arquivos de Endocrinologia e Metabolismo (Online) - Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)false
dc.title.none.fl_str_mv Genetic variants in the SLC16A11 gene are associated with increased BMI and insulin levels in nondiabetic Chilean population
title Genetic variants in the SLC16A11 gene are associated with increased BMI and insulin levels in nondiabetic Chilean population
spellingShingle Genetic variants in the SLC16A11 gene are associated with increased BMI and insulin levels in nondiabetic Chilean population
Mardones,Lorena
SLC16A11
diabetes mellitus type 2
obesity
monocarboxylate transporter
hyperinsulinemia
title_short Genetic variants in the SLC16A11 gene are associated with increased BMI and insulin levels in nondiabetic Chilean population
title_full Genetic variants in the SLC16A11 gene are associated with increased BMI and insulin levels in nondiabetic Chilean population
title_fullStr Genetic variants in the SLC16A11 gene are associated with increased BMI and insulin levels in nondiabetic Chilean population
title_full_unstemmed Genetic variants in the SLC16A11 gene are associated with increased BMI and insulin levels in nondiabetic Chilean population
title_sort Genetic variants in the SLC16A11 gene are associated with increased BMI and insulin levels in nondiabetic Chilean population
author Mardones,Lorena
author_facet Mardones,Lorena
Petermann-Rocha,Fanny
Martinez-Sanguinetti,Maria Adela
Leiva,Ana Maria
Troncoso-Pantoja,Claudia
Martorell,Miquel
Lasserre,Nicole
Ulloa,Natalia
Perez-Bravo,Francisco
Celis-Morales,Carlos
Villagran,Marcelo
author_role author
author2 Petermann-Rocha,Fanny
Martinez-Sanguinetti,Maria Adela
Leiva,Ana Maria
Troncoso-Pantoja,Claudia
Martorell,Miquel
Lasserre,Nicole
Ulloa,Natalia
Perez-Bravo,Francisco
Celis-Morales,Carlos
Villagran,Marcelo
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Mardones,Lorena
Petermann-Rocha,Fanny
Martinez-Sanguinetti,Maria Adela
Leiva,Ana Maria
Troncoso-Pantoja,Claudia
Martorell,Miquel
Lasserre,Nicole
Ulloa,Natalia
Perez-Bravo,Francisco
Celis-Morales,Carlos
Villagran,Marcelo
dc.subject.por.fl_str_mv SLC16A11
diabetes mellitus type 2
obesity
monocarboxylate transporter
hyperinsulinemia
topic SLC16A11
diabetes mellitus type 2
obesity
monocarboxylate transporter
hyperinsulinemia
description ABSTRACT Objective: To study the association of SLC16A11 gene variants with obesity and metabolic markers in nondiabetic Chilean adults. Materials and methods: This cross-sectional study included 263 non-diabetic adults. The genotype of the rs75493593 polymorphism of SLC16A11 gene was performed by real-time PCR. It's association with adiposity markers (body weight, BMI, waist circumference and fat mass percentage), metabolic markers (glucose, insulin, HOMAIR, leptin, total cholesterol, LDLc, HDLc, triglycerides, ALT, GGT and hsCRP) and blood pressure was analyzed by linear regression. Results: The minor allele (T) of the SLC16A11 gene (rs75493593) has a frequency of 29.7% among Chileans. Risk genotypes (GT and TT) were associated with a significant 1.49 mU/l increase in plasmatic insulin for each copy of the minor allele (95% CI: 0.12, 2.87, p < 0.05). This association remained significant after adjusting for socio-demographic variables, physical activity and smoking (1.36 mU/l, 95% CI: 0.16, 2.58 p < 0.05), but was lost when BMI was included as a confounding factor. Higher BMI was also significantly associated with polymorphic genotypes in SLC16A11, independent of socio-demographic variables. Conclusion: The minor allele of the SLC16A11 gene (T) is highly prevalent among Chileans and is associated with increased insulin and BMI in nondiabetic individuals. These findings suggest that the genetic variant in SLC16A11 is not only associated with type 2 diabetes as previously shown in Mexicans, but is also related to early metabolic alterations in healthy subjects that may lead to type 2 diabetes.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972021000300305
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972021000300305
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.20945/2359-3997000000359
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Sociedade Brasileira de Endocrinologia e Metabologia
publisher.none.fl_str_mv Sociedade Brasileira de Endocrinologia e Metabologia
dc.source.none.fl_str_mv Archives of Endocrinology and Metabolism v.65 n.3 2021
reponame:Arquivos de Endocrinologia e Metabolismo (Online)
instname:Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)
instacron:SBEM
instname_str Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)
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reponame_str Arquivos de Endocrinologia e Metabolismo (Online)
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repository.name.fl_str_mv Arquivos de Endocrinologia e Metabolismo (Online) - Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)
repository.mail.fl_str_mv ||aem.editorial.office@endocrino.org.br
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