Literature DB >> 27289413

Pharmacokinetic Pharmacogenetic Prescribing Guidelines for Antidepressants: A Template for Psychiatric Precision Medicine.

Malik Nassan1, Wayne T Nicholson2, Michelle A Elliott3, Carolyn R Rohrer Vitek4, John L Black5, Mark A Frye6.   

Abstract

Antidepressants are commonly prescribed medications in the United States, and there is increasing interest in individualizing treatment selection for more than 20 US Food and Drug Administration-approved treatments for major depressive disorder. Providing greater precision to pharmacotherapeutic recommendations for individual patients beyond the large-scale clinical trials evidence base can potentially reduce adverse effect toxicity profiles and increase response rates and overall effectiveness. It is increasingly recognized that genetic variation may contribute to this differential risk to benefit ratio and thus provides a unique opportunity to develop pharmacogenetic guidelines for psychiatry. Key studies and concepts that review the rationale for cytochrome P450 2D6 (CYP2D6) and cytochrome P450 2C19 (CYP2C19) genetic testing can be delineated by serum levels, adverse events, and clinical outcome measures (eg, antidepressant response). In this article, we report the evidence that contributed to the implementation of pharmacokinetic pharmacogenetic guidelines for antidepressants primarily metabolized by CYP2D6 and CYP2C19.
Copyright © 2016 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27289413     DOI: 10.1016/j.mayocp.2016.02.023

Source DB:  PubMed          Journal:  Mayo Clin Proc        ISSN: 0025-6196            Impact factor:   7.616


  19 in total

1.  Pharmacogenetics and Practice: Tailoring Prescribing for Safety and Effectiveness.

Authors:  Cathy R Fulton; Marelize Swart; Thomas De Luca; Stephanie N Liu; Kimberly S Collins; Zeruesenay Desta; Brandon T Gufford; Michael T Eadon
Journal:  J Nurse Pract       Date:  2018-11-02       Impact factor: 0.767

2.  Multi-gene Pharmacogenomic Testing That Includes Decision-Support Tools to Guide Medication Selection for Major Depression: A Health Technology Assessment.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2021-08-12

3.  Clinical Implementation of Pharmacogenetic Decision Support Tools for Antidepressant Drug Prescribing.

Authors:  Zane Zeier; Linda L Carpenter; Ned H Kalin; Carolyn I Rodriguez; William M McDonald; Alik S Widge; Charles B Nemeroff
Journal:  Am J Psychiatry       Date:  2018-04-25       Impact factor: 18.112

Review 4.  The role of sex, age and genetic polymorphisms of CYP enzymes on the pharmacokinetics of anticholinergic drugs.

Authors:  Shanna C Trenaman; Susan K Bowles; Melissa K Andrew; Kerry Goralski
Journal:  Pharmacol Res Perspect       Date:  2021-05

Review 5.  Depression, antidepressants and fall risk: therapeutic dilemmas-a clinical review.

Authors:  E P van Poelgeest; A C Pronk; D Rhebergen; N van der Velde
Journal:  Eur Geriatr Med       Date:  2021-03-15       Impact factor: 1.710

Review 6.  Genophenotypic Factors and Pharmacogenomics in Adverse Drug Reactions.

Authors:  Ramón Cacabelos; Vinogran Naidoo; Lola Corzo; Natalia Cacabelos; Juan C Carril
Journal:  Int J Mol Sci       Date:  2021-12-10       Impact factor: 5.923

Review 7.  How to Integrate CYP2D6 Phenoconversion Into Clinical Pharmacogenetics: A Tutorial.

Authors:  Emily J Cicali; Amanda L Elchynski; Kelsey J Cook; John T Houder; Cameron D Thomas; D Max Smith; Amanda Elsey; Julie A Johnson; Larisa H Cavallari; Kristin Wiisanen
Journal:  Clin Pharmacol Ther       Date:  2021-07-28       Impact factor: 6.903

Review 8.  A path to precision in the ICU.

Authors:  David M Maslove; Francois Lamontagne; John C Marshall; Daren K Heyland
Journal:  Crit Care       Date:  2017-04-03       Impact factor: 9.097

9.  An Overview of the Heterogeneity of Major Depressive Disorder: Current Knowledge and Future Prospective.

Authors:  Kaipuzha Venu Athira; Sikta Bandopadhyay; Pavan Kumar Samudrala; V G M Naidu; Mangala Lahkar; Sumana Chakravarty
Journal:  Curr Neuropharmacol       Date:  2020       Impact factor: 7.363

10.  The functional variant rs334558 of GSK3B is associated with remission in patients with depressive disorders.

Authors:  Anastasia Levchenko; Innokentiy S Losenkov; Natalia M Vyalova; German G Simutkin; Nikolay A Bokhan; Bob Wilffert; Anton Jm Loonen; Svetlana A Ivanova
Journal:  Pharmgenomics Pers Med       Date:  2018-07-20
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.