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

被引:8
作者
Richards-Belle, Alvin [1 ,6 ]
Austin-Zimmerman, Isabelle [1 ,2 ]
Wang, Baihan [1 ]
Zartaloudi, Eirini [1 ]
Cotic, Marius [1 ]
Gracie, Caitlin [1 ]
Saadullah Khani, Noushin [1 ]
Wannasuphoprasit, Yanisa [1 ]
Wronska, Marta [1 ]
Dawda, Yogita [3 ]
Osborn, David P. J. [4 ,5 ]
Bramon, Elvira [1 ,5 ,6 ]
机构
[1] UCL, Mental Hlth Neurosci Res Dept, Div Psychiat, London, England
[2] Kings Coll London, Inst Psychiat Psychol & Neurosci, Social Genet & Dev Psychiat Ctr, London, England
[3] Cent & North West London NHS Fdn Trust, Dept Pharm, London, England
[4] UCL, Epidemiol & Appl Clin Res Dept, Div Psychiat, London, England
[5] Camden & Islington NHS Fdn Trust, London, England
[6] UCL, Mental Hlth Neurosci Res Dept, Div Psychiat, Maple House,149 Tottenham Court Rd, London W1T 7BN, England
关键词
Antidepressants; antipsychotics; lipids; cholesterol; pharmacogenetics; genetics; PHARMACOGENETICS IMPLEMENTATION CONSORTIUM; SEVERE MENTAL-ILLNESS; CARDIOVASCULAR RISK; DYSLIPIDEMIA; CHOLESTEROL; METABOLISM; PREDICTION; PEOPLE; CYP2D6; ADULTS;
D O I
10.1177/02698811231152748
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
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.
引用
收藏
页码:396 / 407
页数:12
相关论文
共 51 条
  • [1] Efficacy and safety of aripiprazole for the treatment of schizophrenia: an overview of systematic reviews
    Amorim Ribeiro, Esther Leticia
    Lima, Tacio de Mendonca
    Bergamini Vieira, Marcio Eduardo
    Storpirtis, Silvia
    Aguiar, Patricia Melo
    [J]. EUROPEAN JOURNAL OF CLINICAL PHARMACOLOGY, 2018, 74 (10) : 1215 - 1233
  • [2] [Anonymous], 2015, 2011 Census Analysis: Ethnicity and religion of the non-UK born population in England and Wales
  • [3] [Anonymous], 2022, Digital Health Terms
  • [4] [Anonymous], 2007, UK Biobank: Protocol for A LargeScale Prospective Epidemiological Resource, V06, P1
  • [5] The Influence of CYP2D6 and CYP2C19 Genetic Variation on Diabetes Mellitus Risk in People Taking Antidepressants and Antipsychotics
    Austin-Zimmerman, Isabelle
    Wronska, Marta
    Wang, Baihan
    Irizar, Haritz
    Thygesen, Johan H.
    Bhat, Anjali
    Denaxas, Spiros
    Fatemifar, Ghazaleh
    Finan, Chris
    Harju-Seppanen, Jasmine
    Giannakopoulou, Olga
    Kuchenbaecker, Karoline
    Zartaloudi, Eirini
    McQuillin, Andrew
    Bramon, Elvira
    [J]. GENES, 2021, 12 (11)
  • [6] Comparison of the Guidelines of the Clinical Pharmacogenetics Implementation Consortium and the Dutch Pharmacogenetics Working Group
    Bank, P. C. D.
    Caudle, K. E.
    Swen, J. J.
    Gammal, R. S.
    Whirl-Carrillo, M.
    Klein, T. E.
    Relling, M. V.
    Guchelaar, H-J
    [J]. CLINICAL PHARMACOLOGY & THERAPEUTICS, 2018, 103 (04) : 599 - 618
  • [7] Don't ignore genetic data from minority populations
    Ben-Eghan, Chief
    Sun, Rosie
    Hleap, Jose Sergio
    Diaz-Papkovich, Alex
    Munter, Hans Markus
    Grant, Audrey V.
    Dupras, Charles
    Gravel, Simon
    [J]. NATURE, 2020, 585 (7824) : 184 - 186
  • [8] A One-Penny Imputed Genome from Next-Generation Reference Panels
    Browning, Brian L.
    Zhou, Ying
    Browning, Sharon R.
    [J]. AMERICAN JOURNAL OF HUMAN GENETICS, 2018, 103 (03) : 338 - 348
  • [9] The UK Biobank resource with deep phenotyping and genomic data
    Bycroft, Clare
    Freeman, Colin
    Petkova, Desislava
    Band, Gavin
    Elliott, Lloyd T.
    Sharp, Kevin
    Motyer, Allan
    Vukcevic, Damjan
    Delaneau, Olivier
    O'Connell, Jared
    Cortes, Adrian
    Welsh, Samantha
    Young, Alan
    Effingham, Mark
    McVean, Gil
    Leslie, Stephen
    Allen, Naomi
    Donnelly, Peter
    Marchini, Jonathan
    [J]. NATURE, 2018, 562 (7726) : 203 - +
  • [10] Center for Drug Evaluation and Research, 2021, DRUG DEV DRUG INT TA