The Effects of CYP2C19 Genotype on Proxies of SSRI Antidepressant Response in the UK Biobank

Author:

Wong Win Lee Edwin123ORCID,Fabbri Chiara45,Laplace Benjamin46,Li Danyang4,van Westrhenen Roos378,Lewis Cathryn M.4ORCID,Dawe Gavin Stewart129,Young Allan H.31011ORCID

Affiliation:

1. Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117600, Singapore

2. Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore

3. Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London SE5 8AG, UK

4. Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AF, UK

5. Department of Biomedical and Neuromotor Sciences, University of Bologna, 40127 Bologna, Italy

6. Psychiatry Department of Research and Innovation, Esquirol Hospital Center, 87000 Limoges, France

7. Parnassia Psychiatric Institute/PsyQ, 1062 HN Amsterdam, The Netherlands

8. Department of Psychiatry & Neuropsychology, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6229 ER Maastricht, The Netherlands

9. Neurobiology Programme, Life Sciences Institute, National University of Singapore, Singapore 119077, Singapore

10. Department of Medical and Molecular Genetics, Faculty of Life Sciences and Medicine, King’s College London, London WC2R 2LS, UK

11. South London & Maudsley NHS Foundation Trust, Bethlem Royal Hospital, Monks Orchard Road, London BR3 3BX, UK

Abstract

Selective serotonin reuptake inhibitors (SSRIs) are the most commonly used psychopharmaceutical treatment for major depressive disorder (MDD), but individual responses to SSRIs vary greatly. CYP2C19 is a key enzyme involved in the metabolism of several drugs, including SSRIs. Variations in the CYP2C19 gene are associated with differential metabolic activity, and thus differential SSRI exposure; accordingly, the CYP2C19 genotype may affect the therapeutic response and clinical outcomes, though existing evidence of this link is not entirely consistent. Therefore, we analysed data from the UK Biobank, a large, deeply phenotyped prospective study, to investigate the effects of CYP2C19 metaboliser phenotypes on several clinical outcomes derived from primary care records, including multiple measures of antidepressant switching, discontinuation, duration, and side effects. In this dataset, 24,729 individuals were prescribed citalopram, 3012 individuals were prescribed escitalopram, and 12,544 individuals were prescribed sertraline. Consistent with pharmacological expectations, CYP2C19 poor metabolisers on escitalopram were more likely to switch antidepressants, have side effects following first prescription, and be on escitalopram for a shorter duration compared to normal metabolisers. CYP2C19 poor and intermediate metabolisers on citalopram also exhibited increased odds of discontinuation and shorter durations relative to normal metabolisers. Generally, no associations were found between metabolic phenotypes and proxies of response to sertraline. Sensitivity analyses in a depression subgroup and metabolic activity scores corroborated results from the primary analysis. In summary, our findings suggest that CYP2C19 genotypes, and thus metabolic phenotypes, may have utility in determining clinical responses to SSRIs, particularly escitalopram and citalopram, though further investigation of such a relationship is warranted.

Funder

National University of Singapore President’s Graduate Fellowship

Ministry of Education (MOE), Singapore

National Medical Research Council, Singapore

National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre at South London

Maudsley NHS Foundation Trust

King’s College London

NEXTGENERATIONEU

European Union’s Horizon 2020 research and innovation program

Publisher

MDPI AG

Subject

Drug Discovery,Pharmaceutical Science,Molecular Medicine

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