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The Association of Trp64Arg Polymorphism in the Beta-Adrenergic Receptor With Insulin Resistance: Meta-Analysis

BACKGROUND: Insulin resistance is a metabolic disorder that occurs in type 2 diabetes mellitus and obesity. Genetic factors such as β3-adrenoceptor polymorphism (Trp64Arg) may be involved in IR and insulin secretion. However, their association is controversial. Therefore, the current meta-analysis w...

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Autores principales: Wang, Hai-Dan, Zhang, Cai-Shun, Li, Man-Wen, Lin, Qian, Zhang, Qing, Liu, De-Feng, Ma, Zheng-Ye, Dong, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8426512/
https://www.ncbi.nlm.nih.gov/pubmed/34512548
http://dx.doi.org/10.3389/fendo.2021.708139
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author Wang, Hai-Dan
Zhang, Cai-Shun
Li, Man-Wen
Lin, Qian
Zhang, Qing
Liu, De-Feng
Ma, Zheng-Ye
Dong, Jing
author_facet Wang, Hai-Dan
Zhang, Cai-Shun
Li, Man-Wen
Lin, Qian
Zhang, Qing
Liu, De-Feng
Ma, Zheng-Ye
Dong, Jing
author_sort Wang, Hai-Dan
collection PubMed
description BACKGROUND: Insulin resistance is a metabolic disorder that occurs in type 2 diabetes mellitus and obesity. Genetic factors such as β3-adrenoceptor polymorphism (Trp64Arg) may be involved in IR and insulin secretion. However, their association is controversial. Therefore, the current meta-analysis was conducted to clarify the relationship between the Trp64Arg and IR. METHODS: The literature search was performed in PubMed, Embase, and Web of Science using the keywords “Receptors, Adrenergic, beta-3, Receptors, Adrenergic, Insulin Resistance, Protein-Coupled Receptor Kinase 3” from 2005 to February 7, 2021. We used a random-effects model to calculate the pooled effect size. We conducted subgroup analysis and regression analysis to identify sources of heterogeneity; and Egger’s test and funnel plot were used to test publication bias. Finally, we conducted a sensitivity analysis. RESULTS: We included eight papers with 1,586 subjects. There was a positive correlation between Trp64Arg mutation and insulin level (standardized mean difference = 0.20, 95% confidence intervals: 0.00 to 0.39, I (2) = 57.6%, p = 0.016). However, there was no association between Trp64Arg and the homeostasis model (HOMA-IR) assessment. Egger’s tests showed no publication bias; the sensitivity analysis showed that our results were stable. Regression analysis revealed no source of heterogeneity. CONCLUSION: Trp64Arg may be associated with IR. European ancestry, obesity, plasma insulin level, and test status may be potential factors affecting the relationship between Trp64Arg and IR.
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spelling pubmed-84265122021-09-10 The Association of Trp64Arg Polymorphism in the Beta-Adrenergic Receptor With Insulin Resistance: Meta-Analysis Wang, Hai-Dan Zhang, Cai-Shun Li, Man-Wen Lin, Qian Zhang, Qing Liu, De-Feng Ma, Zheng-Ye Dong, Jing Front Endocrinol (Lausanne) Endocrinology BACKGROUND: Insulin resistance is a metabolic disorder that occurs in type 2 diabetes mellitus and obesity. Genetic factors such as β3-adrenoceptor polymorphism (Trp64Arg) may be involved in IR and insulin secretion. However, their association is controversial. Therefore, the current meta-analysis was conducted to clarify the relationship between the Trp64Arg and IR. METHODS: The literature search was performed in PubMed, Embase, and Web of Science using the keywords “Receptors, Adrenergic, beta-3, Receptors, Adrenergic, Insulin Resistance, Protein-Coupled Receptor Kinase 3” from 2005 to February 7, 2021. We used a random-effects model to calculate the pooled effect size. We conducted subgroup analysis and regression analysis to identify sources of heterogeneity; and Egger’s test and funnel plot were used to test publication bias. Finally, we conducted a sensitivity analysis. RESULTS: We included eight papers with 1,586 subjects. There was a positive correlation between Trp64Arg mutation and insulin level (standardized mean difference = 0.20, 95% confidence intervals: 0.00 to 0.39, I (2) = 57.6%, p = 0.016). However, there was no association between Trp64Arg and the homeostasis model (HOMA-IR) assessment. Egger’s tests showed no publication bias; the sensitivity analysis showed that our results were stable. Regression analysis revealed no source of heterogeneity. CONCLUSION: Trp64Arg may be associated with IR. European ancestry, obesity, plasma insulin level, and test status may be potential factors affecting the relationship between Trp64Arg and IR. Frontiers Media S.A. 2021-08-26 /pmc/articles/PMC8426512/ /pubmed/34512548 http://dx.doi.org/10.3389/fendo.2021.708139 Text en Copyright © 2021 Wang, Zhang, Li, Lin, Zhang, Liu, Ma and Dong https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Wang, Hai-Dan
Zhang, Cai-Shun
Li, Man-Wen
Lin, Qian
Zhang, Qing
Liu, De-Feng
Ma, Zheng-Ye
Dong, Jing
The Association of Trp64Arg Polymorphism in the Beta-Adrenergic Receptor With Insulin Resistance: Meta-Analysis
title The Association of Trp64Arg Polymorphism in the Beta-Adrenergic Receptor With Insulin Resistance: Meta-Analysis
title_full The Association of Trp64Arg Polymorphism in the Beta-Adrenergic Receptor With Insulin Resistance: Meta-Analysis
title_fullStr The Association of Trp64Arg Polymorphism in the Beta-Adrenergic Receptor With Insulin Resistance: Meta-Analysis
title_full_unstemmed The Association of Trp64Arg Polymorphism in the Beta-Adrenergic Receptor With Insulin Resistance: Meta-Analysis
title_short The Association of Trp64Arg Polymorphism in the Beta-Adrenergic Receptor With Insulin Resistance: Meta-Analysis
title_sort association of trp64arg polymorphism in the beta-adrenergic receptor with insulin resistance: meta-analysis
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8426512/
https://www.ncbi.nlm.nih.gov/pubmed/34512548
http://dx.doi.org/10.3389/fendo.2021.708139
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