{"title":"Impact of <i>CYP2D6</i> and <i>ADRB1</i> polymorphisms on heart rate of post-PCI patients treated with metoprolol.","authors":"Xiaofeng Gao, Huan Wang, Hui Chen","doi":"10.2217/pgs-2017-0203","DOIUrl":null,"url":null,"abstract":"<p><p><b>Aim:</b> To explore the effect of <i>CYP2D6*10</i> (100C > T) and <i>ADRB1</i> 1165 G > C polymorphisms on heart rate of post-PCI (percutaneous coronary intervention) patients treated with metoprolol succinate sustained-release tablets. <b>Methods:</b> A total of 756 inpatients with metoprolol succinate sustained-release tablets were selected and the genotypes of <i>CYP2D6*10</i> and <i>ADRB1</i> 1165G > C were detected in 319 patients using gene chip detection. The target heart rate was defined as a resting heart rate < 70 beats/min. Clinical data were collected. <b>Results:</b> A total of 319 inpatients were enrolled in the study. The mutant allele frequencies of <i>CYP2D6</i> and <i>ADRB1</i> were 57.21 and 69.44%, respectively. Whatever the dose of metoprolol, the heart rates were lower in patients with homozygous mutation of <i>CYP2D6</i> than those with heterozygous mutation and wild-type (p < 0.05). Nevertheless, this effect was not seen between different genotypes of <i>ADRB1</i>. Logistic regression analysis showed that the dose of metoprolol and the genotypes of <i>CYP2D6</i> were predictors of heart rate <70 beats/min in these patients. Further multivariate analysis indicated that patients with homozygous mutation had better control of heart rates compared with those with wild-type and heterozygous mutation of <i>CYP2D6*10</i> genotypes (all: p < 0.001). <b>Conclusion:</b><i>CYP2D6*10</i> polymorphisms were associated with the heart rate of post-PCI patients treated with metoprolol succinate sustained-release tablets.</p>","PeriodicalId":20018,"journal":{"name":"Pharmacogenomics","volume":" ","pages":"1-9"},"PeriodicalIF":1.9000,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pharmacogenomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2217/pgs-2017-0203","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0
Abstract
Aim: To explore the effect of CYP2D6*10 (100C > T) and ADRB1 1165 G > C polymorphisms on heart rate of post-PCI (percutaneous coronary intervention) patients treated with metoprolol succinate sustained-release tablets. Methods: A total of 756 inpatients with metoprolol succinate sustained-release tablets were selected and the genotypes of CYP2D6*10 and ADRB1 1165G > C were detected in 319 patients using gene chip detection. The target heart rate was defined as a resting heart rate < 70 beats/min. Clinical data were collected. Results: A total of 319 inpatients were enrolled in the study. The mutant allele frequencies of CYP2D6 and ADRB1 were 57.21 and 69.44%, respectively. Whatever the dose of metoprolol, the heart rates were lower in patients with homozygous mutation of CYP2D6 than those with heterozygous mutation and wild-type (p < 0.05). Nevertheless, this effect was not seen between different genotypes of ADRB1. Logistic regression analysis showed that the dose of metoprolol and the genotypes of CYP2D6 were predictors of heart rate <70 beats/min in these patients. Further multivariate analysis indicated that patients with homozygous mutation had better control of heart rates compared with those with wild-type and heterozygous mutation of CYP2D6*10 genotypes (all: p < 0.001). Conclusion:CYP2D6*10 polymorphisms were associated with the heart rate of post-PCI patients treated with metoprolol succinate sustained-release tablets.
期刊介绍:
Pharmacogenomics (ISSN 1462-2416) is a peer-reviewed journal presenting reviews and reports by the researchers and decision-makers closely involved in this rapidly developing area. Key objectives are to provide the community with an essential resource for keeping abreast of the latest developments in all areas of this exciting field.
Pharmacogenomics is the leading source of commentary and analysis, bringing you the highest quality expert analyses from corporate and academic opinion leaders in the field.