Jethendra Kumar Muruganantham, Iyshwarya B K, Ramakrishnan Veerabathiran
{"title":"KCNJ11 rs5219 多态性与妊娠糖尿病的关系：荟萃分析","authors":"Jethendra Kumar Muruganantham, Iyshwarya B K, Ramakrishnan Veerabathiran","doi":"10.1007/s13410-024-01376-8","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Background</h3><p>Gestational diabetes mellitus (GDM), characterized by hyperglycemia during pregnancy, is influenced by various factors, including genetic predisposition. The potassium inwardly rectifying channel gene (<i>KCNJ11</i>) and its polymorphisms, such as rs5219, have been implicated in diabetes. This study intends to assess the efficiency of meta-analysis to assess the link between <i>KCNJ11</i> rs5219 polymorphism and GDM risk.</p><h3 data-test=\"abstract-sub-heading\">Objective</h3><p>The primary objective is to examine the probable link between the <i>KCNJ11</i> rs5219 polymorphism and the risk of resulting GDM through a comprehensive meta-analysis. The study aims to contribute insights into the genetic factors influencing GDM susceptibility, specifically focusing on the KCNJ11 rs5219 polymorphic site.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>A thorough literature search was conducted on Embase, PubMed, and Google Scholar, focusing on studies examining the association between <i>KCNJ11</i> gene polymorphism and GDM. Inclusion criteria encompassed case–control studies providing genotypic and allele frequency data. The Newcastle–Ottawa Scale assessed study quality. Statistical analyses, utilizing Review Manager 5.4, included heterogeneity assessment, odds ratio calculation, and exploration of publication bias.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>These findings indicate that <i>KCNJ11</i> rs5219 is a significant risk factor for GDM, especially in recessive genetic models. Further research is essential to verify these conclusions and to identify the processes behind them. The Begg and Egger tests show no indication of publication bias in our study.</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>This meta-analysis indicates a slightly significant association between <i>KCNJ11</i> rs5219 polymorphism, specifically in the recessive model, and an amplified risk of GDM. The results highlight the intricate interplay of genetic factors in GDM and advocate for further research to unravel underlying mechanisms. Insights gained from this study may contribute to enhanced diagnostics and tailored treatments for individuals affected by gestational diabetes mellitus.\n</p>","PeriodicalId":50328,"journal":{"name":"International Journal of Diabetes in Developing Countries","volume":"10 1","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association between KCNJ11 rs5219 polymorphisms and gestational diabetes mellitus: A meta-analysis\",\"authors\":\"Jethendra Kumar Muruganantham, Iyshwarya B K, Ramakrishnan Veerabathiran\",\"doi\":\"10.1007/s13410-024-01376-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3 data-test=\\\"abstract-sub-heading\\\">Background</h3><p>Gestational diabetes mellitus (GDM), characterized by hyperglycemia during pregnancy, is influenced by various factors, including genetic predisposition. The potassium inwardly rectifying channel gene (<i>KCNJ11</i>) and its polymorphisms, such as rs5219, have been implicated in diabetes. This study intends to assess the efficiency of meta-analysis to assess the link between <i>KCNJ11</i> rs5219 polymorphism and GDM risk.</p><h3 data-test=\\\"abstract-sub-heading\\\">Objective</h3><p>The primary objective is to examine the probable link between the <i>KCNJ11</i> rs5219 polymorphism and the risk of resulting GDM through a comprehensive meta-analysis. The study aims to contribute insights into the genetic factors influencing GDM susceptibility, specifically focusing on the KCNJ11 rs5219 polymorphic site.</p><h3 data-test=\\\"abstract-sub-heading\\\">Methods</h3><p>A thorough literature search was conducted on Embase, PubMed, and Google Scholar, focusing on studies examining the association between <i>KCNJ11</i> gene polymorphism and GDM. Inclusion criteria encompassed case–control studies providing genotypic and allele frequency data. The Newcastle–Ottawa Scale assessed study quality. Statistical analyses, utilizing Review Manager 5.4, included heterogeneity assessment, odds ratio calculation, and exploration of publication bias.</p><h3 data-test=\\\"abstract-sub-heading\\\">Results</h3><p>These findings indicate that <i>KCNJ11</i> rs5219 is a significant risk factor for GDM, especially in recessive genetic models. Further research is essential to verify these conclusions and to identify the processes behind them. The Begg and Egger tests show no indication of publication bias in our study.</p><h3 data-test=\\\"abstract-sub-heading\\\">Conclusion</h3><p>This meta-analysis indicates a slightly significant association between <i>KCNJ11</i> rs5219 polymorphism, specifically in the recessive model, and an amplified risk of GDM. The results highlight the intricate interplay of genetic factors in GDM and advocate for further research to unravel underlying mechanisms. 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Association between KCNJ11 rs5219 polymorphisms and gestational diabetes mellitus: A meta-analysis
Background
Gestational diabetes mellitus (GDM), characterized by hyperglycemia during pregnancy, is influenced by various factors, including genetic predisposition. The potassium inwardly rectifying channel gene (KCNJ11) and its polymorphisms, such as rs5219, have been implicated in diabetes. This study intends to assess the efficiency of meta-analysis to assess the link between KCNJ11 rs5219 polymorphism and GDM risk.
Objective
The primary objective is to examine the probable link between the KCNJ11 rs5219 polymorphism and the risk of resulting GDM through a comprehensive meta-analysis. The study aims to contribute insights into the genetic factors influencing GDM susceptibility, specifically focusing on the KCNJ11 rs5219 polymorphic site.
Methods
A thorough literature search was conducted on Embase, PubMed, and Google Scholar, focusing on studies examining the association between KCNJ11 gene polymorphism and GDM. Inclusion criteria encompassed case–control studies providing genotypic and allele frequency data. The Newcastle–Ottawa Scale assessed study quality. Statistical analyses, utilizing Review Manager 5.4, included heterogeneity assessment, odds ratio calculation, and exploration of publication bias.
Results
These findings indicate that KCNJ11 rs5219 is a significant risk factor for GDM, especially in recessive genetic models. Further research is essential to verify these conclusions and to identify the processes behind them. The Begg and Egger tests show no indication of publication bias in our study.
Conclusion
This meta-analysis indicates a slightly significant association between KCNJ11 rs5219 polymorphism, specifically in the recessive model, and an amplified risk of GDM. The results highlight the intricate interplay of genetic factors in GDM and advocate for further research to unravel underlying mechanisms. Insights gained from this study may contribute to enhanced diagnostics and tailored treatments for individuals affected by gestational diabetes mellitus.
期刊介绍：
International Journal of Diabetes in Developing Countries is the official journal of Research Society for the Study of Diabetes in India. This is a peer reviewed journal and targets a readership consisting of clinicians, research workers, paramedical personnel, nutritionists and health care personnel working in the field of diabetes. Original research articles focusing on clinical and patient care issues including newer therapies and technologies as well as basic science issues in this field are considered for publication in the journal. Systematic reviews of interest to the above group of readers are also accepted.
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