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. 2014 Jun 1;29(6):1327-34.
doi: 10.3305/nh.2014.29.6.7367.

Association of β1 and β3 adrenergic receptors gene polymorphisms with insulin resistance and high lipid profiles related to type 2 diabetes and metabolic syndrome

Ana I Burguete-Garcia  1 , Gabriela A Martinez-Nava  2 , Adan Valladares-Salgado  3 , V H Bermudez Morales  4 , Barbara Estrada-Velasco  5 , Niels Wacher  6 , Jesus Peralta-Romero  7 , Jaime Garcia-Mena  8 , Esteban Parra  9 , Miguel Cruz  10
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Free article

Association of β1 and β3 adrenergic receptors gene polymorphisms with insulin resistance and high lipid profiles related to type 2 diabetes and metabolic syndrome

Ana I Burguete-Garcia et al. Nutr Hosp. .
Free article

Abstract
in English, Spanish

Background: Among the diverse genes associated to type 2 diabetes (T2D), the β-adrenergic receptors are an excellent candidate to study in Mexican population. The objective of this work was to analyze the association of polymorphisms in ADRB1 (rs1801253) (Arg389Gly) and ADRB3 (Trp64Arg) genes with T2D and metabolic syndrome (MS).

Methods: We studied 445 MS patients, 502 with T2D and 552 healthy controls. Anthropometric features and complete biochemical profile were evaluated, and Arg389Gly and Trp64Arg SNPs were determined by TaqMan assays. Data analysis was adjusted by African, Caucasian and Amerindian ancestral percentage.

Results: The variant Arg389Gly of ADRB1 was statistically associated with an increase of LDL levels (P < 0.008), and the variant ADRB3 Trp64Arg was associated to larger HOMA-IR (P < 0.018) and with an increase of insulin levels (P < 0.001). A multiple logistic regression analysis was made in three grouping models: For ADRB3 in the codominant model Trp/Arg genotype, there was an OR of 1.53 (1.09-2.13, P < 0.003) which was increased up to OR 2.99 (1.44-6.22, P < 0.003) for the Arg/Arg genotype. Similar risk association was found under the dominant model Trp/Arg-Arg/Arg genotype with OR 1.67 (1.21-2.30; P < 0.002). In the recessive model (Arg/Arg genotype), there was also a high association OR 2.56 (1.24-5.26, P < 0.01).

Conclusions: The ADRB3 Trp64Arg variant is a susceptibility gene polymorphism for T2D and the ADRB1 Gly389Arg for lipid metabolism disruption. These results show that these variants are potential biomarkers for predicting metabolic alterations and evolution in diabetic and metabolic syndrome patients.

Antecedentes: Entre los diversos genes asociados a la diabetes tipo 2 (DT2), los receptores –adrenérgicos– son excelentes candidatos para estudiar en la población mexicana dada la alta prevalencia de estas patologías. El objetivo de este trabajo fue analizar la asociación de polimorfismos en los genes ADRB1 (rs1801253) (Arg389Gly) y ADRB3 (Trp64Arg) con DT2 y SM. Métodos: Se estudiaron 445 pacientes con Síndrome Metabólico, 502 con diabetes tipo 2 y 552 controles sanos. Se evaluaron las características antropométricas, perfil bioquímico completo y los polimorfismos Arg389Gly y Trp64Arg SNPs se determinaron mediante ensayos TaqMan. El análisis de datos fue ajustado por porcentaje de ancestralidad. Resultados: Para la variante ADRB1 Arg389Gly se observó una asociación estadísticamente significativa con un aumento de los niveles de LDL (P < 0,008 ), y la variante ADRB3 Trp64Arg se asoció a mayor HOMA- IR (p < 0,018) y con un aumento de los niveles de insulina (P < 0,001). Mediante modelos de regresión logística múltiple en los tres modelos de heredabilidad se evaluó la asociación de ambos polimorfismos y DT2 y SM, observando un asociación significativa en los 3 modelos solo con DT2, ADRB3 en el modelo codominante Trp/Arg un OR de 1.53 (1.9 a 2.13 , P < 0.003) que se incrementó hasta OR 2,99 (1,44 a 6,22 , P < 0,003) para el genotipo Arg/Arg . Se encontró bajo el modelo dominante genotipo Trp/Arg- Arg/Arg con OR 1.67 (1.21 a 2.30, p < 0.002). En el modelo recesivo (Arg/Arg), también un OR 2.56 (1.24 a 5.26 , P < 0.01). Conclusiones: La variante ADRB3 Trp64Arg se asoció significativamente con DT2 y ADRB1 Gly389Arg en alteraciones en el metabolismo de lípidos. Nuestros resultados demuestran que estas variantes son posibles biomarcadores para predecir las alteraciones metabólicas y la evolución en pacientes con síndrome Metabólico y diabetes tipo 2.

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