{"title":"预防利伐沙班不良反应的药物遗传学方法:系统综述和荟萃分析。","authors":"Parham Mardi, Bahareh Abbasi, Arman Shafiee, Tara Afsharmoghaddam","doi":"10.1155/2023/6105320","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Pharmacogenetics is a potential approach that can be applied to decline the burden of rivaroxaban's ADRs. The current systematic review and meta-analysis aim to identify genetic variants correlated with rivaroxaban exposure and evaluate their importance.</p><p><strong>Methods: </strong>We systematically searched PubMed, Web of Science, and Scopus databases for all observational and interventional studies. The fixed effect method was used to pool the data when the Q-test's <i>p</i> value was higher than 0.1. We used random models when the <i>p</i> value was less than 0.1.</p><p><strong>Results: </strong>Data from ten studies (4721 participants) were analyzed in the current review. Qualitative synthesis from included studies found that two variants of ABCB1 (rs1045642 and rs2032582) and one variant of APOB (rs13306198) are potential contributors to rivaroxaban concentrations. Both wild homozygotes (AA) and heterozygotes (AC) of rs1045642 have significantly lower rivaroxaban concentrations compared to mutated homozygotes (CC) (SMD = 0.516, 95% CI: 0.115 to 0.917; SMD = 0.772, 95% CI: 0.088 to 1.455, respectively). Nevertheless, pooling unadjusted odds ratios did not yield a statistically significant correlation between rivaroxaban ADRs and genetic mutations.</p><p><strong>Conclusion: </strong>This study revealed that being an AC or CC for rs1045642 is attributed to a considerably higher rivaroxaban level in participants using rivaroxaban. That is to say, rs1045642 is a remarkable predictor of rivaroxaban metabolism. We concluded that identifying rs1045642 before drug administration might decrease ADRs although further studies adjusted for potential confounders are strongly suggested.</p>","PeriodicalId":12778,"journal":{"name":"Genetics research","volume":"2023 ","pages":"6105320"},"PeriodicalIF":1.4000,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630013/pdf/","citationCount":"0","resultStr":"{\"title\":\"Pharmacogenetic Approach for the Prevention of Rivaroxaban's ADRs: A Systematic Review and Meta-Analysis.\",\"authors\":\"Parham Mardi, Bahareh Abbasi, Arman Shafiee, Tara Afsharmoghaddam\",\"doi\":\"10.1155/2023/6105320\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Pharmacogenetics is a potential approach that can be applied to decline the burden of rivaroxaban's ADRs. 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Both wild homozygotes (AA) and heterozygotes (AC) of rs1045642 have significantly lower rivaroxaban concentrations compared to mutated homozygotes (CC) (SMD = 0.516, 95% CI: 0.115 to 0.917; SMD = 0.772, 95% CI: 0.088 to 1.455, respectively). Nevertheless, pooling unadjusted odds ratios did not yield a statistically significant correlation between rivaroxaban ADRs and genetic mutations.</p><p><strong>Conclusion: </strong>This study revealed that being an AC or CC for rs1045642 is attributed to a considerably higher rivaroxaban level in participants using rivaroxaban. That is to say, rs1045642 is a remarkable predictor of rivaroxaban metabolism. 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引用次数: 0
摘要
引言:药物遗传学是一种潜在的方法,可用于降低利伐沙班的不良反应负担。目前的系统综述和荟萃分析旨在确定与利伐沙班暴露相关的遗传变异,并评估其重要性。方法:我们系统地搜索PubMed、Web of Science和Scopus数据库中所有的观察性和介入性研究。当Q检验的p值高于0.1时,使用固定效应方法来汇集数据。当p值小于0.1时,我们使用随机模型。结果:本综述分析了10项研究(4721名参与者)的数据。纳入研究的定性合成发现,ABCB1的两个变体(rs1045642和rs2032582)和APOB的一个变体(rs13306198)是利伐沙班浓度的潜在贡献者。rs1045642的野生纯合子(AA)和杂合子(AC)的利伐沙班浓度均显著低于突变纯合子(CC)(SMD = 0.516,95%可信区间:0.115至0.917;SMD = 0.772,95%CI:0.088-1.455)。然而,合并未经调整的比值比并没有在利伐沙班ADR和遗传突变之间产生统计学上显著的相关性。结论:本研究表明,rs1045642的AC或CC归因于使用利伐沙班的参与者的利伐沙班水平相当高。也就是说,rs1045642是利伐沙班代谢的显著预测因子。我们的结论是,在给药前识别rs1045642可能会减少ADR,尽管强烈建议进行进一步的研究,以调整潜在的混杂因素。
Pharmacogenetic Approach for the Prevention of Rivaroxaban's ADRs: A Systematic Review and Meta-Analysis.
Introduction: Pharmacogenetics is a potential approach that can be applied to decline the burden of rivaroxaban's ADRs. The current systematic review and meta-analysis aim to identify genetic variants correlated with rivaroxaban exposure and evaluate their importance.
Methods: We systematically searched PubMed, Web of Science, and Scopus databases for all observational and interventional studies. The fixed effect method was used to pool the data when the Q-test's p value was higher than 0.1. We used random models when the p value was less than 0.1.
Results: Data from ten studies (4721 participants) were analyzed in the current review. Qualitative synthesis from included studies found that two variants of ABCB1 (rs1045642 and rs2032582) and one variant of APOB (rs13306198) are potential contributors to rivaroxaban concentrations. Both wild homozygotes (AA) and heterozygotes (AC) of rs1045642 have significantly lower rivaroxaban concentrations compared to mutated homozygotes (CC) (SMD = 0.516, 95% CI: 0.115 to 0.917; SMD = 0.772, 95% CI: 0.088 to 1.455, respectively). Nevertheless, pooling unadjusted odds ratios did not yield a statistically significant correlation between rivaroxaban ADRs and genetic mutations.
Conclusion: This study revealed that being an AC or CC for rs1045642 is attributed to a considerably higher rivaroxaban level in participants using rivaroxaban. That is to say, rs1045642 is a remarkable predictor of rivaroxaban metabolism. We concluded that identifying rs1045642 before drug administration might decrease ADRs although further studies adjusted for potential confounders are strongly suggested.
期刊介绍:
Genetics Research is a key forum for original research on all aspects of human and animal genetics, reporting key findings on genomes, genes, mutations and molecular interactions, extending out to developmental, evolutionary, and population genetics as well as ethical, legal and social aspects. Our aim is to lead to a better understanding of genetic processes in health and disease. The journal focuses on the use of new technologies, such as next generation sequencing together with bioinformatics analysis, to produce increasingly detailed views of how genes function in tissues and how these genes perform, individually or collectively, in normal development and disease aetiology. The journal publishes original work, review articles, short papers, computational studies, and novel methods and techniques in research covering humans and well-established genetic organisms. Key subject areas include medical genetics, genomics, human evolutionary and population genetics, bioinformatics, genetics of complex traits, molecular and developmental genetics, Evo-Devo, quantitative and statistical genetics, behavioural genetics and environmental genetics. The breadth and quality of research make the journal an invaluable resource for medical geneticists, molecular biologists, bioinformaticians and researchers involved in genetic basis of diseases, evolutionary and developmental studies.