{"title":"Meta-analysis of pharmacogenetic clinical decision support systems for the treatment of major depressive disorder","authors":"Valentin Skryabin, Ilya Rozochkin, Mikhail Zastrozhin, Volker Lauschke, Johan Franck, Evgeny Bryun, Dmitry Sychev","doi":"10.1038/s41397-022-00295-3","DOIUrl":null,"url":null,"abstract":"The study aimed to conduct a meta-analysis of studies comparing pharmacogenetically guided dosing of antidepressants with empiric standard of care. Publications referring to genotype-guided antidepressant therapy were identified via PubMed, Google Scholar, Scopus, Web of Science, Embase, and Cochrane databases from the inception of the databases to 2021. In addition, bibliographies of all articles were manually searched for additional references not identified in primary searches. Studies comparing clinical outcomes between two groups of patients who received antidepressant treatment were included in meta-analysis. Analysis of the data revealed statistically significant differences between the experimental group receiving pharmacogenetically guided dosing and the empirically treated controls. Specifically, genotype-guided treatment significantly improved response and remission of patients after both eight and twelve weeks of therapy, whereas no effect on the development of adverse drug reactions was observed. This meta-analysis indicates that the use of preemptive genotyping to guide dosing of antidepressants might increase treatment efficacy.","PeriodicalId":54624,"journal":{"name":"Pharmacogenomics Journal","volume":"23 2-3","pages":"45-49"},"PeriodicalIF":2.9000,"publicationDate":"2022-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pharmacogenomics Journal","FirstCategoryId":"3","ListUrlMain":"https://www.nature.com/articles/s41397-022-00295-3","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 4
Abstract
The study aimed to conduct a meta-analysis of studies comparing pharmacogenetically guided dosing of antidepressants with empiric standard of care. Publications referring to genotype-guided antidepressant therapy were identified via PubMed, Google Scholar, Scopus, Web of Science, Embase, and Cochrane databases from the inception of the databases to 2021. In addition, bibliographies of all articles were manually searched for additional references not identified in primary searches. Studies comparing clinical outcomes between two groups of patients who received antidepressant treatment were included in meta-analysis. Analysis of the data revealed statistically significant differences between the experimental group receiving pharmacogenetically guided dosing and the empirically treated controls. Specifically, genotype-guided treatment significantly improved response and remission of patients after both eight and twelve weeks of therapy, whereas no effect on the development of adverse drug reactions was observed. This meta-analysis indicates that the use of preemptive genotyping to guide dosing of antidepressants might increase treatment efficacy.
该研究旨在对比较药物基因指导下的抗抑郁药剂量与经验性标准治疗的研究进行荟萃分析。研究人员通过PubMed、Google Scholar、Scopus、Web of Science、Embase和Cochrane等数据库查找了从数据库建立之初到2021年期间有关基因型指导抗抑郁治疗的文献。此外,还对所有文章的书目进行了人工检索,以查找主要检索中未发现的其他参考文献。荟萃分析纳入了对两组接受抗抑郁治疗的患者的临床疗效进行比较的研究。数据分析显示,接受药物基因指导剂量的实验组与接受经验治疗的对照组之间存在显著的统计学差异。具体来说,基因型指导治疗显著改善了患者在接受八周和十二周治疗后的反应和缓解情况,而对药物不良反应的发生没有影响。这项荟萃分析表明,使用先期基因分型来指导抗抑郁药物的剂量可能会提高疗效。
期刊介绍:
The Pharmacogenomics Journal is a print and electronic journal, which is dedicated to the rapid publication of original research on pharmacogenomics and its clinical applications.
Key areas of coverage include:
Personalized medicine
Effects of genetic variability on drug toxicity and efficacy
Identification and functional characterization of polymorphisms relevant to drug action
Pharmacodynamic and pharmacokinetic variations and drug efficacy
Integration of new developments in the genome project and proteomics into clinical medicine, pharmacology, and therapeutics
Clinical applications of genomic science
Identification of novel genomic targets for drug development
Potential benefits of pharmacogenomics.