Evidence map›Paper›PMID 35094016›Full record

ArticleThe pharmacogenomics journal2022

Impact of CYP2C19 metaboliser status on SSRI response: a retrospective study of 9500 participants of the Australian Genetics of Depression Study.

Adrian I Campos, Enda M Byrne, Brittany L Mitchell, Naomi R Wray, Penelope A Lind, Julio Licinio, Sarah E Medland, Nicholas G Martin, Ian B Hickie, Miguel E Rentería

Open access · hybridAbstract read
In one paragraph

Article in The pharmacogenomics journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
7.1field-weighted citation impact, top 2% of its field
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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
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  14. From genes to drugs:Frontiers in pharmacology · 2024
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  18. The pharmacogenetics ofFrontiers in pharmacology · 2023
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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

10 authors at 5 institutions in 2 countries.

Adrian I CamposQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. adrian.campos@qimrberghofer.edu.au.ORCID http://orcid.org/0000-0003-3468-8619
Enda M ByrneInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.
Brittany L MitchellQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.ORCID http://orcid.org/0000-0002-9050-1516
Naomi R WrayInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.
Penelope A LindQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.ORCID http://orcid.org/0000-0002-3887-2598
Julio LicinioDepartment of Psychiatry, State University of New York Upstate Medical University, Syracuse, NY, USA.
Sarah E MedlandQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.ORCID http://orcid.org/0000-0003-1382-380X
Nicholas G MartinQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.ORCID http://orcid.org/0000-0003-4069-8020
Ian B HickieBrain and Mind Centre, University of Sydney, Camperdown, NSW, Australia.
Miguel E RenteríaQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. miguel.renteria@qimrberghofer.edu.au.ORCID http://orcid.org/0000-0003-4626-7248
Queensland University of Technology · AUThe University of Queensland · AUQIMR Berghofer Medical Research Institute · AUSUNY Upstate Medical University · USThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVariation within the CYP2C19 gene has been linked to differential metabolism of selective serotonin reuptake inhibitors (SSRIs). Pharmacogenetic recommendations based on the effect of CYP2C19 variants have been made available and are used increasingly by clinical practitioners. Nonetheless, the underlying assumption linking differential metabolism to efficacy or adverse side effects remains understudied. Here, we aim to fill this gap by studying CYP2C19 polymorphisms and inferred metabolism and patient-reported antidepressant response in a sample of 9531 Australian adults who have taken SSRIs.

methodsMetaboliser status was inferred for participants based on CYP2C19 alleles. Primary analysis consisted of assessing differences in treatment efficacy and tolerability between normal (reference) and: ultrarapid, rapid, intermediate and poor metabolisers.

resultsAcross medications, poor metabolisers reported a higher efficacy, whereas rapid metabolisers reported higher tolerability. When stratified by drug, associations between metaboliser status and efficacy did not survive multiple testing correction. Intermediate metabolisers were at greater odds of reporting any side effect for sertraline and higher number of side effects across medications and for sertraline.

conclusionsThe effects between metaboliser status and treatment efficacy, tolerability and side effects were in the expected direction. Our power analysis suggests we would detect moderate to large effects, at least nominally. Reduced power may also be explained by heterogeneity in antidepressant dosages or concomitant medications, which we did not measure. The fact that we identify slower metabolisers to be at higher risk of side effects even without adjusting for clinical titration, and the nominally significant associations consistent with the expected metabolic effects provide new evidence for the link between CYP2C19 metabolism and SSRI response. Nonetheless, longitudinal and interventional designs such as randomized clinical trials that stratify by metaboliser status are necessary to establish the effects of CYP2C19 metabolism on SSRI treatment efficacy or adverse effects.

Indexed as

DepressionSelective Serotonin Reuptake InhibitorsAdultAustraliaCytochrome P-450 CYP2C19HumansRetrospective StudiesCYP2C19 protein, humanCytochrome P-450 CYP2C19Selective Serotonin Reuptake Inhibitors

Identifiers

PMID35094016
PMCPMC8975743
OpenAlexW4210495840

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.