CYP2D6 Genetic Variation and Antipsychotic-Induced Weight Gain: A Systematic Review and Meta-Analysis

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  • Yanisa Wannasuphoprasit
  • Andersen, Stig Ejdrup
  • Maria J. Arranz
  • Rosa Catalan
  • Jürgens, Gesche
  • Sanne Maartje Kloosterboer
  • Henrik Berg Rasmussen
  • Anjali Bhat
  • Haritz Irizar
  • Dora Koller
  • Renato Polimanti
  • Baihan Wang
  • Eirini Zartaloudi
  • Isabelle Austin-Zimmerman
  • Elvira Bramon

Background: Antipsychotic-induced weight gain is a contributing factor in the reduced life expectancy reported amongst people with psychotic disorders. CYP2D6 is a liver enzyme involved in the metabolism of many commonly used antipsychotic medications. We investigated if CYP2D6 genetic variation influenced weight or BMI among people taking antipsychotic treatment. Methods: We conducted a systematic review and a random effects meta-analysis of publications in Pubmed, Embase, PsychInfo, and CENTRAAL that had BMI and/or weight measurements of patients on long-term antipsychotics by their CYP2D6-defined metabolic groups (poor, intermediate, normal/extensive, and ultra-rapid metabolizers, UMs). Results: Twelve studies were included in the systematic review. All cohort studies suggested that the presence of reduced-function or non-functional alleles for CYP2D6 was associated with greater antipsychotic-induced weight gain, whereas most cross-sectional studies did not find any significant associations. Seventeen studies were included in the meta-analysis with clinical data of 2,041 patients, including 93 poor metabolizers (PMs), 633 intermediate metabolizers (IMs), 1,272 normal metabolizers (NMs), and 30 UMs. Overall, we did not find associations in any of the comparisons made. The estimated pooled standardized differences for the following comparisons were (i) PM versus NM; weight = –0.07 (95%CI: –0.49 to 0.35, p = 0.74), BMI = 0.40 (95%CI: –0.19 to 0.99, p = 0.19). (ii) IM versus NM; weight = 0.09 (95% CI: –0.04 to 0.22, p = 0.16) and BMI = 0.09 (95% CI: –0.24 to 0.41, p = 0.60). (iii) UM versus EM; weight = 0.01 (95% CI: –0.37 to 0.40, p = 0.94) and BMI = –0.08 (95%CI: –0.57 to 0.42, p = 0.77). Conclusion: Our systematic review of cohort studies suggested that CYP2D6 poor metabolizers have higher BMI than normal metabolizers, but the data of cross-sectional studies and the meta-analysis did not show this association. Although our review and meta-analysis constitutes one of the largest studies with comprehensively genotyped samples, the literature is still limited by small numbers of participants with genetic variants resulting in poor or UMs status. We need further studies with larger numbers of extreme metabolizers to establish its clinical utility in antipsychotic treatment. CYP2D6 is a key gene for personalized prescribing in mental health.

OriginalsprogEngelsk
Artikelnummer768748
TidsskriftFrontiers in Psychology
Vol/bind12
Antal sider15
ISSN1664-1078
DOI
StatusUdgivet - 3 feb. 2022

Bibliografisk note

Funding Information:
This study was supported by Medical Research Council doctoral studentships awarded to IA-Z. BW was supported by the China Scholarship Council-University College London Joint Research Scholarship. HI has received funding from the European Union’s Horizon 220 Research and Innovation Program under the Marie Skłodowska-Curie grant agreement no. 747429 and is currently supported by a grant from the National Institute of Allergy and Infectious Diseases, National Institutes of Health. AB was supported by a Medical Research Council doctoral studentship (MR/N013867/1). EB has received the following grant funding that supported this work: National Institute of Health Research UK (NIHR200756); Mental Health Research UK John Grace QC Scholarship 2018; BMA Margaret Temple Fellowship 2016; Medical Research Council New Investigator and Centenary Awards (G0901310 and G1100583), MRC (G1100583); NIHR Biomedical Research Centre at University College London Hospitals NHS Foundation Trust and University College London.

Publisher Copyright:
Copyright © 2022 Wannasuphoprasit, Andersen, Arranz, Catalan, Jurgens, Kloosterboer, Rasmussen, Bhat, Irizar, Koller, Polimanti, Wang, Zartaloudi, Austin-Zimmerman and Bramon.

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