Evidence map›Paper›PMID 38797832›Full record

ArticleBMC psychiatry2024

Association of CYP2D6 and CYP2C19 metabolizer status with switching and discontinuing antidepressant drugs: an exploratory study.

Jurriaan M J L Brouwer, Klaas J Wardenaar, Ilja M Nolte, Edith J Liemburg, Pierre M Bet, Harold Snieder, Hans Mulder, Danielle C Cath, Brenda W J H Penninx

Abstract readMulticenter Study
In one paragraph

Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jurriaan M J L BrouwerResearch School of Behavioral and Cognitive Neurosciences, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. j.m.j.l.brouwer@umcg.nl.
Klaas J Wardenaar *GGZ Drenthe Mental Health Center Drenthe, Assen, The Netherlands.
Ilja M Nolte *Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Edith J LiemburgGGZ Drenthe Mental Health Center Drenthe, Assen, The Netherlands.
Pierre M BetDepartment of Clinical Pharmacology and Pharmacy, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Harold SniederRob Giel Research Center, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Hans MulderDepartment of Clinical Pharmacy, Wilhelmina Hospital Assen, Assen, The Netherlands.
Danielle C CathResearch School of Behavioral and Cognitive Neurosciences, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Brenda W J H PenninxDepartment of Psychiatry, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam Public Health, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTailoring antidepressant drugs (AD) to patients' genetic drug-metabolism profile is promising. However, literature regarding associations of ADs' treatment effect and/or side effects with drug metabolizing genes CYP2D6 and CYP2C19 has yielded inconsistent results. Therefore, our aim was to longitudinally investigate associations between CYP2D6 (poor, intermediate, and normal) and CYP2C19 (poor, intermediate, normal, and ultrarapid) metabolizer-status, and switching/discontinuing of ADs. Next, we investigated whether the number of perceived side effects differed between metabolizer statuses.

methodsData came from the multi-site naturalistic longitudinal cohort Netherlands Study of Depression and Anxiety (NESDA). We selected depression- and/or anxiety patients, who used AD at some point in the course of the 9 years follow-up period (n = 928). Medication use was followed to assess patterns of AD switching/discontinuation over time. CYP2D6 and CYP2C19 alleles were derived using genome-wide data of the NESDA samples and haplotype data from the PharmGKB database. Logistic regression analyses were conducted to investigate the association of metabolizer status with switching/discontinuing ADs. Mann-Whitney U-tests were conducted to compare the number of patient-perceived side effects between metabolizer statuses.

resultsNo significant associations were observed of CYP metabolizer status with switching/discontinuing ADs, nor with the number of perceived side effects.

conclusionsWe found no evidence for associations between CYP metabolizer statuses and switching/discontinuing AD, nor with side effects of ADs, suggesting that metabolizer status only plays a limited role in switching/discontinuing ADs. Additional studies with larger numbers of PM and UM patients are needed to further determine the potential added value of pharmacogenetics to guide pharmacotherapy.

Indexed as

Antidepressive AgentsCytochrome P-450 CYP2C19Cytochrome P-450 CYP2D6AdultAnxiety DisordersDepressive DisorderFemaleHumansLongitudinal StudiesMaleMiddle AgedNetherlandsAntidepressive AgentsCYP2C19 protein, humanCytochrome P-450 CYP2C19Cytochrome P-450 CYP2D6AntidepressantsCYP2C19CYP2D6DiscontinuingNESDASwitching

Identifiers

PMID38797832
PMCPMC11129450

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.