Literature DB >> 30554109

Does obtaining CYP2D6 and CYP2C19 pharmacogenetic testing predict antidepressant response or adverse drug reactions?

Haley V Solomon1, Kevin W Cates2, Kevin J Li2.   

Abstract

Treatment non-response and adverse reactions are common in patients receiving antidepressants. Personalizing psychiatric treatment based on pharmacogenetic testing has been proposed to help clinicians guide antidepressant selection and dosing. This systematic literature review assesses the two most robustly studied drug-metabolizing enzymes, CYP2D6 and CYP2C19, and examines whether obtaining CYP2D6 and CYP2C19 testing can be used to predict antidepressant response or adverse drug reactions in order to improve clinical outcomes. In general, literature reviews published prior to 2013 indicated that results have been inconsistent linking CYP2D6 and CYP2C19 to antidepressant treatment outcomes, suggesting that more evidence is required to support the clinical implementation of genotyping to predict outcomes. We thus performed an extensive and systematic literature review, focusing on studies published from 2013 through 2018. Sixteen studies were found to be relevant. The results yielded inconsistent findings, suggesting that CYP2D6 and CYP2C19 testing may predict response in certain individuals, but it remains unclear if this will translate to improved clinical outcomes. Further research is required to determine when pharmacogenetic testing should be utilized and in which populations it is indicated. Randomized, controlled, prospective trials with adequate sample sizes would best clarify whether genotype-guided antidepressant selection will ultimately improve clinical outcomes. Published by Elsevier B.V.

Entities:  

Keywords:  Anxiety disorder; CYP450; Major depressive disorder; Obsessive compulsive disorder; Pharmacogenomic; SSRI

Mesh:

Substances:

Year:  2018        PMID: 30554109     DOI: 10.1016/j.psychres.2018.12.053

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  5 in total

1.  Identifying the Common Genetic Basis of Antidepressant Response.

Authors:  Oliver Pain; Karen Hodgson; Vassily Trubetskoy; Stephan Ripke; Victoria S Marshe; Mark J Adams; Enda M Byrne; Adrian I Campos; Tania Carrillo-Roa; Annamaria Cattaneo; Thomas D Als; Daniel Souery; Mojca Z Dernovsek; Chiara Fabbri; Caroline Hayward; Neven Henigsberg; Joanna Hauser; James L Kennedy; Eric J Lenze; Glyn Lewis; Daniel J Müller; Nicholas G Martin; Benoit H Mulsant; Ole Mors; Nader Perroud; David J Porteous; Miguel E Rentería; Charles F Reynolds; Marcella Rietschel; Rudolf Uher; Eleanor M Wigmore; Wolfgang Maier; Naomi R Wray; Katherine J Aitchison; Volker Arolt; Bernhard T Baune; Joanna M Biernacka; Guido Bondolfi; Katharina Domschke; Masaki Kato; Qingqin S Li; Yu-Li Liu; Alessandro Serretti; Shih-Jen Tsai; Gustavo Turecki; Richard Weinshilboum; Andrew M McIntosh; Cathryn M Lewis
Journal:  Biol Psychiatry Glob Open Sci       Date:  2022-04

2.  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
Journal:  Pharmacogenomics J       Date:  2022-10-22       Impact factor: 3.245

3.  Pharmacogenomic Studies in Intellectual Disabilities and Autism Spectrum Disorder: A Systematic Review.

Authors:  Kazunari Yoshida; Emiko Koyama; Clement C Zai; Joseph H Beitchman; James L Kennedy; Yona Lunsky; Pushpal Desarkar; Daniel J Müller
Journal:  Can J Psychiatry       Date:  2020-11-23       Impact factor: 5.321

Review 4.  Potential pharmacogenomic targets in bipolar disorder: considerations for current testing and the development of decision support tools to individualize treatment selection.

Authors:  Alfredo B Cuéllar-Barboza; Susan L McElroy; Marin Veldic; Balwinder Singh; Simon Kung; Francisco Romo-Nava; Nicolas A Nunez; Alejandra Cabello-Arreola; Brandon J Coombes; Miguel Prieto; Hannah K Betcher; Katherine M Moore; Stacey J Winham; Joanna M Biernacka; Mark A Frye
Journal:  Int J Bipolar Disord       Date:  2020-07-04

Review 5.  Barriers to genetic testing in clinical psychiatry and ways to overcome them: from clinicians' attitudes to sociocultural differences between patients across the globe.

Authors:  Justo Pinzón-Espinosa; Marte van der Horst; Janneke Zinkstok; Jehannine Austin; Cora Aalfs; Albert Batalla; Patrick Sullivan; Jacob Vorstman; Jurjen J Luykx
Journal:  Transl Psychiatry       Date:  2022-10-11       Impact factor: 7.989

  5 in total

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