{"title":"Contribution of Glutathione-S-Transferases Polymorphism and Risk of Coronary Artery Diseases: A Meta-Analysis.","authors":"Santhi Priya Sobha, Kumar Ebenezar Kesavarao","doi":"10.2174/1874609815666220304193925","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Oxidative stress is one of the risk components in the development of coronary artery diseases (CAD). Genetic polymorphism in major antioxidant genes like Glutathione- S-Transferases (GST) has been associated with increased CAD susceptibility and severity.</p><p><strong>Objective: </strong>To get a precise evaluation and to update the association, a meta-analysis on GST (GSTM1, GSTT1, and GSTP1) polymorphism with CAD was performed. Moreover, the combined effect of GSTM1/GSTT1 null genotypes on CAD risk has not yet been studied, but it has the highest risk of developing diseases.</p><p><strong>Materials and methods: </strong>PubMed, Embase, and Web of Science were systematically searched for eligible studies. Case-control studies in the English language and with genotypic frequency were selected in order to provide data and calculate the odds ratio (OR). OR with 95% CI was calculated, and a random effect model was used. NOS scale was used to assess the quality of the included studies.</p><p><strong>Results: </strong>Meta-analysis indicated that the GSTM1 null genotype and GSTP1 (Ile105Val) polymorphism is significantly associated with CAD risk with a pooled OR-1.38, p=0.01 for GSTM1 and OR-1.19, p=0.04 for GSTP1. The dual null genotype of GSTM1-GSTT1 has the highest risk for CAD development (OR-1.59, p=0.003), and there is no significant association between GSTT1 null genotype with CAD. In the subgroup analysis, GSTM1 showed an increased risk for Asians (OR- 1.68, p=<0.01) and smokers (OR-1.98, p=<0.01). Publication bias was not observed.</p><p><strong>Conclusion: </strong>The findings suggest that the GSTM1 and GSTP1 polymorphism can be a predictive factor for CAD risk, and a larger sample size is required further to confirm the association.</p>","PeriodicalId":11008,"journal":{"name":"Current aging science","volume":"71 1","pages":"282-292"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current aging science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/1874609815666220304193925","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Oxidative stress is one of the risk components in the development of coronary artery diseases (CAD). Genetic polymorphism in major antioxidant genes like Glutathione- S-Transferases (GST) has been associated with increased CAD susceptibility and severity.
Objective: To get a precise evaluation and to update the association, a meta-analysis on GST (GSTM1, GSTT1, and GSTP1) polymorphism with CAD was performed. Moreover, the combined effect of GSTM1/GSTT1 null genotypes on CAD risk has not yet been studied, but it has the highest risk of developing diseases.
Materials and methods: PubMed, Embase, and Web of Science were systematically searched for eligible studies. Case-control studies in the English language and with genotypic frequency were selected in order to provide data and calculate the odds ratio (OR). OR with 95% CI was calculated, and a random effect model was used. NOS scale was used to assess the quality of the included studies.
Results: Meta-analysis indicated that the GSTM1 null genotype and GSTP1 (Ile105Val) polymorphism is significantly associated with CAD risk with a pooled OR-1.38, p=0.01 for GSTM1 and OR-1.19, p=0.04 for GSTP1. The dual null genotype of GSTM1-GSTT1 has the highest risk for CAD development (OR-1.59, p=0.003), and there is no significant association between GSTT1 null genotype with CAD. In the subgroup analysis, GSTM1 showed an increased risk for Asians (OR- 1.68, p=<0.01) and smokers (OR-1.98, p=<0.01). Publication bias was not observed.
Conclusion: The findings suggest that the GSTM1 and GSTP1 polymorphism can be a predictive factor for CAD risk, and a larger sample size is required further to confirm the association.