Effects of Pharmacokinetic Gene Variation on Therapeutic Drug Levels and Antidepressant Treatment Response

Author:

Scherf-Clavel Maike1,Weber Heike1,Wurst Catherina123,Stonawski Saskia123,Hommers Leif123,Unterecker Stefan1,Wolf Christiane1,Domschke Katharina4,Rost Nicolas56,Brückl Tanja5,Lucae Susanne7,Uhr Manfred7,Binder Elisabeth B.5,Menke Andreas189,Deckert Jürgen1

Affiliation:

1. Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Würzburg, Würzburg, Germany

2. Interdisciplinary Center for Clinical Research, University Hospital of Würzburg, Würzburg, Germany

3. Comprehensive Heart Failure Center (CHFC), University Hospital of Würzburg, Würzburg, Germany

4. Department of Psychiatry and Psychotherapy, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany

5. Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany

6. International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany

7. Max Planck Institute of Psychiatry, Munich, Germany

8. Department of Psychosomatic Medicine and Psychotherapy, Medical Park Chiemseeblick, Bernau, Germany

9. Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany

Abstract

Abstract Introduction Pharmacogenetic testing is proposed to minimize adverse effects when considered in combination with pharmacological knowledge of the drug. As yet, limited studies in clinical settings have investigated the predictive value of pharmacokinetic (pk) gene variation on therapeutic drug levels as a probable mechanism of adverse effects, nor considered the combined effect of pk gene variation and drug level on antidepressant treatment response. Methods Two depression cohorts were investigated for the relationship between pk gene variation and antidepressant serum concentrations of amitriptyline, venlafaxine, mirtazapine and quetiapine, as well as treatment response. For the analysis, 519 patients (49% females; 46.6±14.1 years) were included. Results Serum concentration of amitriptyline was associated with CYP2D6 (higher concentrations in poor metabolizers compared to normal metabolizers), of venlafaxine with CYP2C19 (higher concentrations in intermediate metabolizers compared to rapid/ultrarapid metabolizers) and CYP2D6 (lower metabolite-to-parent ratio in poor compared to intermediate and normal metabolizers, and intermediate compared to normal and ultrarapid metabolizers). Pk gene variation did not affect treatment response. Discussion The present data support previous recommendations to reduce starting doses of amitriptyline and to guide dose-adjustments via therapeutic drug monitoring in CYP2D6 poor metabolizers. In addition, we propose including CYP2C19 in routine testing in venlafaxine-treated patients to improve therapy by raising awareness of the risk of low serum concentrations in CYP2C19 rapid/ultrarapid metabolizers. In summary, pk gene variation can predict serum concentrations, and thus the combination of pharmacogenetic testing and therapeutic drug monitoring is a useful tool in a personalized therapy approach for depression.

Publisher

Georg Thieme Verlag KG

Subject

Pharmacology (medical),Psychiatry and Mental health,General Medicine

Reference45 articles.

1. Pharmacogenetic testing: A tool for personalized drug therapy optimization;K A Malsagova;Pharmaceutics,2020

2. Precision pharmacotherapy: Psychiatry’s future direction in preventing, diagnosing, and treating mental disorders;A Menke;Pharmgenomics Pers Med,2018

3. Primary care and mental health providers’ perceptions of implementation of pharmacogenetics testing for depression prescribing;B M Vest;BMC Psychiatry,2020

4. The effect of pharmacogenomic testing on response and remission rates in the acute treatment of major depressive disorder: A meta-analysis;J D Rosenblat;J Affect Disord,2018

5. Pharmacogenetic tests and depressive symptom remission: A meta-analysis of randomized controlled trials;C A Bousman;Pharmacogenomics,2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3