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Associations of antidepressants and antipsychotics with lipid parameters: Do CYP2C19/CYP2D6 genes play a role? A UK population-based study

BACKGROUND: Dyslipidaemia is an important cardiovascular risk factor for people with severe mental illness, contributing to premature mortality. The link between antipsychotics and dyslipidaemia is well established, while evidence on antidepressants is mixed. AIMS: To investigate if antidepressant/a...

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Autores principales: Richards-Belle, Alvin, Austin-Zimmerman, Isabelle, Wang, Baihan, Zartaloudi, Eirini, Cotic, Marius, Gracie, Caitlin, Saadullah Khani, Noushin, Wannasuphoprasit, Yanisa, Wronska, Marta, Dawda, Yogita, Osborn, David PJ, Bramon, Elvira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101178/
https://www.ncbi.nlm.nih.gov/pubmed/36772859
http://dx.doi.org/10.1177/02698811231152748
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author Richards-Belle, Alvin
Austin-Zimmerman, Isabelle
Wang, Baihan
Zartaloudi, Eirini
Cotic, Marius
Gracie, Caitlin
Saadullah Khani, Noushin
Wannasuphoprasit, Yanisa
Wronska, Marta
Dawda, Yogita
Osborn, David PJ
Bramon, Elvira
author_facet Richards-Belle, Alvin
Austin-Zimmerman, Isabelle
Wang, Baihan
Zartaloudi, Eirini
Cotic, Marius
Gracie, Caitlin
Saadullah Khani, Noushin
Wannasuphoprasit, Yanisa
Wronska, Marta
Dawda, Yogita
Osborn, David PJ
Bramon, Elvira
author_sort Richards-Belle, Alvin
collection PubMed
description BACKGROUND: Dyslipidaemia is an important cardiovascular risk factor for people with severe mental illness, contributing to premature mortality. The link between antipsychotics and dyslipidaemia is well established, while evidence on antidepressants is mixed. AIMS: To investigate if antidepressant/antipsychotic use was associated with lipid parameters in UK Biobank participants and if CYP2C19 and CYP2D6 genetic variation plays a role. METHODS: Review of self-reported prescription medications identified participants taking antidepressants/antipsychotics. Total, low-, and high-density lipoprotein cholesterol (L/HDL-C) and triglycerides derived from blood samples. CYP2C19 and CYP2D6 metabolic phenotypes were assigned from genetic data. Linear regression investigated aims, adjusted for key covariates. RESULTS: Of 469,739 participants, 36,043 took antidepressants (53% female, median age 58, 17% taking cholesterol-lowering medications) and 3255 took antipsychotics (58% female, median age 57, 27% taking cholesterol-lowering medications). Significant associations were found between use of each amitriptyline, fluoxetine, citalopram/escitalopram, sertraline, paroxetine and venlafaxine with higher total cholesterol, LDL-C, and triglycerides and lower HDL-C, compared to participants not taking each medication. Venlafaxine was associated with the worst lipid profile (total cholesterol, adjusted mean difference: 0.21 mmol/L, 95% confidence interval (CI): 0.17 to 0.26, p < 0.001). Antipsychotic use was significantly associated with lower HDL-C and higher triglycerides. In participants taking sertraline, CYP2C19 intermediate metabolisers had higher HDL-C (0.05 mmol/L, 95% CI: 0.01 to 0.09, p = 0.007) and lower triglycerides (−0.17 mmol/L, 95% CI: −0.29 to −0.05, p = 0.007), compared to normal metabolisers. CONCLUSIONS: Antidepressants were significantly associated with adverse lipid profiles, potentially warranting baseline and regular monitoring. Further research should investigate the mechanistic pathways underlying the protective effects of the CYP2C19 intermediate metaboliser phenotype on HDL-C and triglycerides in people taking sertraline.
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spelling pubmed-101011782023-04-14 Associations of antidepressants and antipsychotics with lipid parameters: Do CYP2C19/CYP2D6 genes play a role? A UK population-based study Richards-Belle, Alvin Austin-Zimmerman, Isabelle Wang, Baihan Zartaloudi, Eirini Cotic, Marius Gracie, Caitlin Saadullah Khani, Noushin Wannasuphoprasit, Yanisa Wronska, Marta Dawda, Yogita Osborn, David PJ Bramon, Elvira J Psychopharmacol Original Papers BACKGROUND: Dyslipidaemia is an important cardiovascular risk factor for people with severe mental illness, contributing to premature mortality. The link between antipsychotics and dyslipidaemia is well established, while evidence on antidepressants is mixed. AIMS: To investigate if antidepressant/antipsychotic use was associated with lipid parameters in UK Biobank participants and if CYP2C19 and CYP2D6 genetic variation plays a role. METHODS: Review of self-reported prescription medications identified participants taking antidepressants/antipsychotics. Total, low-, and high-density lipoprotein cholesterol (L/HDL-C) and triglycerides derived from blood samples. CYP2C19 and CYP2D6 metabolic phenotypes were assigned from genetic data. Linear regression investigated aims, adjusted for key covariates. RESULTS: Of 469,739 participants, 36,043 took antidepressants (53% female, median age 58, 17% taking cholesterol-lowering medications) and 3255 took antipsychotics (58% female, median age 57, 27% taking cholesterol-lowering medications). Significant associations were found between use of each amitriptyline, fluoxetine, citalopram/escitalopram, sertraline, paroxetine and venlafaxine with higher total cholesterol, LDL-C, and triglycerides and lower HDL-C, compared to participants not taking each medication. Venlafaxine was associated with the worst lipid profile (total cholesterol, adjusted mean difference: 0.21 mmol/L, 95% confidence interval (CI): 0.17 to 0.26, p < 0.001). Antipsychotic use was significantly associated with lower HDL-C and higher triglycerides. In participants taking sertraline, CYP2C19 intermediate metabolisers had higher HDL-C (0.05 mmol/L, 95% CI: 0.01 to 0.09, p = 0.007) and lower triglycerides (−0.17 mmol/L, 95% CI: −0.29 to −0.05, p = 0.007), compared to normal metabolisers. CONCLUSIONS: Antidepressants were significantly associated with adverse lipid profiles, potentially warranting baseline and regular monitoring. Further research should investigate the mechanistic pathways underlying the protective effects of the CYP2C19 intermediate metaboliser phenotype on HDL-C and triglycerides in people taking sertraline. SAGE Publications 2023-02-11 2023-04 /pmc/articles/PMC10101178/ /pubmed/36772859 http://dx.doi.org/10.1177/02698811231152748 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Papers
Richards-Belle, Alvin
Austin-Zimmerman, Isabelle
Wang, Baihan
Zartaloudi, Eirini
Cotic, Marius
Gracie, Caitlin
Saadullah Khani, Noushin
Wannasuphoprasit, Yanisa
Wronska, Marta
Dawda, Yogita
Osborn, David PJ
Bramon, Elvira
Associations of antidepressants and antipsychotics with lipid parameters: Do CYP2C19/CYP2D6 genes play a role? A UK population-based study
title Associations of antidepressants and antipsychotics with lipid parameters: Do CYP2C19/CYP2D6 genes play a role? A UK population-based study
title_full Associations of antidepressants and antipsychotics with lipid parameters: Do CYP2C19/CYP2D6 genes play a role? A UK population-based study
title_fullStr Associations of antidepressants and antipsychotics with lipid parameters: Do CYP2C19/CYP2D6 genes play a role? A UK population-based study
title_full_unstemmed Associations of antidepressants and antipsychotics with lipid parameters: Do CYP2C19/CYP2D6 genes play a role? A UK population-based study
title_short Associations of antidepressants and antipsychotics with lipid parameters: Do CYP2C19/CYP2D6 genes play a role? A UK population-based study
title_sort associations of antidepressants and antipsychotics with lipid parameters: do cyp2c19/cyp2d6 genes play a role? a uk population-based study
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101178/
https://www.ncbi.nlm.nih.gov/pubmed/36772859
http://dx.doi.org/10.1177/02698811231152748
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