Venlafaxine pharmacokinetics focused on drug metabolism and potential biomarkers.

Paulo Magalhães, Gilberto Alves, Adrián Llerena, Amílcar Falcão
{"title":"Venlafaxine pharmacokinetics focused on drug metabolism and potential biomarkers.","authors":"Paulo Magalhães,&nbsp;Gilberto Alves,&nbsp;Adrián Llerena,&nbsp;Amílcar Falcão","doi":"10.1515/dmdi-2013-0053","DOIUrl":null,"url":null,"abstract":"<p><p>Venlafaxine (VEN) is one of the safest and most effective drugs used in the treatment of selective serotonin reuptake inhibitors-resistant depression, and thereby it is nowadays one of the most commonly prescribed antidepressants. Nevertheless, patients treated with antidepressant drugs including VEN have exhibited large inter-individual variability in drug outcomes, possibly due to the influence of genetic and nongenetic factors on the drug pharmacokinetics and/or pharmacodynamics. Among them, an increased interest has emerged over the last few years on the genetic and/or phenotypic profile for drug-metabolizing cytochrome P450 isoenzymes and drug transporters such as potential predictive pharmacokinetic-based biomarkers of the variability found in drug biodisposition and antidepressant response. The integration of some of these key therapeutic biomarkers with classic therapeutic drug monitoring constitutes a promising way to individualization of VEN's pharmacotherapy, offering to clinicians the ability to better predict and manage pharmacological treatments to maximize the drug effectiveness. Thus, this review provides an extensive discussion of the pharmacokinetics of VEN focusing in particular on metabolism issues, without forgetting the clinically relevant sources of pharmacokinetics variability (mainly the genetic sources) and aiming on the identification of phenotypic and/or genetic biomarkers for therapy optimization.</p>","PeriodicalId":11319,"journal":{"name":"Drug Metabolism and Drug Interactions","volume":" ","pages":"129-41"},"PeriodicalIF":0.0000,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/dmdi-2013-0053","citationCount":"34","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drug Metabolism and Drug Interactions","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/dmdi-2013-0053","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 34

Abstract

Venlafaxine (VEN) is one of the safest and most effective drugs used in the treatment of selective serotonin reuptake inhibitors-resistant depression, and thereby it is nowadays one of the most commonly prescribed antidepressants. Nevertheless, patients treated with antidepressant drugs including VEN have exhibited large inter-individual variability in drug outcomes, possibly due to the influence of genetic and nongenetic factors on the drug pharmacokinetics and/or pharmacodynamics. Among them, an increased interest has emerged over the last few years on the genetic and/or phenotypic profile for drug-metabolizing cytochrome P450 isoenzymes and drug transporters such as potential predictive pharmacokinetic-based biomarkers of the variability found in drug biodisposition and antidepressant response. The integration of some of these key therapeutic biomarkers with classic therapeutic drug monitoring constitutes a promising way to individualization of VEN's pharmacotherapy, offering to clinicians the ability to better predict and manage pharmacological treatments to maximize the drug effectiveness. Thus, this review provides an extensive discussion of the pharmacokinetics of VEN focusing in particular on metabolism issues, without forgetting the clinically relevant sources of pharmacokinetics variability (mainly the genetic sources) and aiming on the identification of phenotypic and/or genetic biomarkers for therapy optimization.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
文拉法辛的药代动力学主要研究药物代谢和潜在的生物标志物。
文拉法辛(VEN)是用于治疗选择性血清素再摄取抑制剂抵抗性抑郁症的最安全、最有效的药物之一,因此它是目前最常用的抗抑郁药之一。然而,包括VEN在内的抗抑郁药物治疗的患者在药物疗效方面表现出很大的个体差异,这可能是由于遗传和非遗传因素对药物药代动力学和/或药效学的影响。其中,在过去几年中,对药物代谢细胞色素P450同位酶和药物转运体的遗传和/或表型谱的兴趣日益增加,如药物生物处置和抗抑郁反应中发现的可变性的潜在预测药代动力学生物标志物。将这些关键的治疗性生物标志物与经典的治疗性药物监测相结合,构成了VEN药物治疗个性化的一种有希望的方式,为临床医生提供了更好地预测和管理药物治疗的能力,以最大限度地提高药物疗效。因此,本综述对VEN的药代动力学进行了广泛的讨论,特别关注代谢问题,同时没有忘记药代动力学变异性的临床相关来源(主要是遗传来源),并旨在识别用于治疗优化的表型和/或遗传生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An Integrated Approach to Assessing Drug-Drug Interactions: A Regulatory Perspective The Role of P-Glycoprotein in Drug Disposition: Significance to Drug Development In Vitro Approaches for Studying the Inhibition of Drug-Metabolizing Enzymes and Identifying the Drug-Metabolizing Enzymes Responsible for the Metabolism of Drugs (Reaction Phenotyping) with Emphasis on Cytochrome P450 Drug-Drug Interactions: Marketing Perspectives Cytochrome P450 Protein Modeling and Ligand Docking
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1