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


Journal

Frontiers in endocrinology
ISSN: 1664-2392
Titre abrégé: Front Endocrinol (Lausanne)
Pays: Switzerland
ID NLM: 101555782

Informations de publication

Date de publication:
2021
Historique:
received: 11 05 2021
accepted: 27 07 2021
entrez: 13 9 2021
pubmed: 14 9 2021
medline: 11 2 2022
Statut: epublish

Résumé

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. 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. 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, 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.

Sections du résumé

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,
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.

Identifiants

pubmed: 34512548
doi: 10.3389/fendo.2021.708139
pmc: PMC8426512
doi:

Substances chimiques

Receptors, Adrenergic, beta 0

Types de publication

Journal Article Meta-Analysis Research Support, Non-U.S. Gov't Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

708139

Informations de copyright

Copyright © 2021 Wang, Zhang, Li, Lin, Zhang, Liu, Ma and Dong.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Hai-Dan Wang (HD)

Special Medicine Department, Medical College, Qingdao University, Qingdao, China.

Cai-Shun Zhang (CS)

Special Medicine Department, Medical College, Qingdao University, Qingdao, China.

Man-Wen Li (MW)

Special Medicine Department, Medical College, Qingdao University, Qingdao, China.

Qian Lin (Q)

Special Medicine Department, Medical College, Qingdao University, Qingdao, China.

Qing Zhang (Q)

Special Medicine Department, Medical College, Qingdao University, Qingdao, China.

De-Feng Liu (DF)

Clinical Medicine Department, Medical College, Qingdao University, Qingdao, China.

Zheng-Ye Ma (ZY)

Clinical Medicine Department, Medical College, Qingdao University, Qingdao, China.

Jing Dong (J)

Special Medicine Department, Medical College, Qingdao University, Qingdao, China.
Physiology Department, Medical College, Qingdao University, Qingdao, China.

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