Literature DB >> 30485867

The Associations Between CYP2D6 Metabolizer Status and Pharmacokinetics and Clinical Outcomes of Venlafaxine: A Systematic Review and Meta-Analysis.

Xiao-Qian Lin1,2, Ping Wang2,3, Wen-Ke Cai4, Gui-Li Xu2, Mei Yang2, Meng-Di Zhou2,3, Mei Sun2,3, Fang He5, Gong-Hao He2.   

Abstract

BACKGROUND: The association between CYP2D6 metabolizer status and clinical outcomes of venlafaxine was extensively investigated previously, but no widely accepted conclusion has been reached so far. To obtain a more precise estimation of the association, a systematic review by meta-analysis was conducted in the present study.
METHODS: The PubMed, EMBASE, Cochrane Library, Chinese National Knowledge Infrastructure, Technology of Chongqing, and Wan Fang Database were searched for eligible studies up to August 2018.
RESULTS: Fourteen related studies involving 1035 patients were finally included. Significant associations were found among 3 CYP2D6 phenotypes (NM, IM, and PM) and most pharmacokinetic parameters of venlafaxine. However, CYP2D6 phenotypes were not associated with Hamilton Depression Rating Scale response of venlafaxine. In addition, we also found no significant association between CYP2D6 phenotype and overall rate of adverse events.
CONCLUSIONS: CYP2D6 metabolizer status had significant influence on venlafaxine pharmacokinetics, but insufficient evidence demonstrated that CYP2D6 metabolizer status was associated with its therapeutic effects and overall rate of adverse events, which provided further evidence regarding the relationship between CYP2D6 metabolizer status and venlafaxine. © Georg Thieme Verlag KG Stuttgart · New York.

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Year:  2018        PMID: 30485867     DOI: 10.1055/a-0792-1340

Source DB:  PubMed          Journal:  Pharmacopsychiatry        ISSN: 0176-3679            Impact factor:   5.788


  1 in total

1.  In Vitro and In Vivo Rat Model Assessments of the Effects of Vonoprazan on the Pharmacokinetics of Venlafaxine.

Authors:  Feifei Chen; Hui Jiang; Jia Xu; Shuanghu Wang; Deru Meng; Peiwu Geng; Dapeng Dai; Quan Zhou; Yunfang Zhou
Journal:  Drug Des Devel Ther       Date:  2020-11-10       Impact factor: 4.162

  1 in total

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