ArticleBMC medicine2022
Association between CYP metabolizer phenotypes and selective serotonin reuptake inhibitors induced weight gain: a retrospective cohort study.
Article in BMC medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 15 citations in OpenAlex.
- Development and Validation of an Approach to Assessing Clinical Relevance of Potential Drug-Drug Interactions Inducing Rare but Serious Adverse Events.Clinical and translational science · 2025Article
- Antidepressants and Weight Gain: An Update on the Evidence and Clinical Implications.Current obesity reports · 2025Review
- Impact of Antidepressants on Weight Gain: Underlying Mechanisms and Mitigation Strategies.Archives of clinical and biomedical research · 2025Article
- The Role of Pharmacogenetics in Personalizing the Antidepressant and Anxiolytic Therapy.Genes · 2023Review
- Pharmacological Treatments and Natural Biocompounds in Weight Management.Pharmaceuticals (Basel, Switzerland) · 2023Review
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundPrescription medications such as selective serotonin reuptake inhibitors (SSRIs), commonly used to treat depression, are associated with weight gain. The role of pharmacogenomics in predicting SSRI-induced weight gain is unclear.
methodsIn this retrospective cohort study from participants in the Mayo Clinic RIGHT study who were prescribed citalopram, paroxetine, sertraline, or fluoxetine, our aim was to evaluate the association of metabolizer phenotype and total body weight after 6 months of SSRIs initiation. We evaluated the metabolizer phenotypes (poor/intermediate, normal, and rapid/ultra-rapid) of the cytochromes P450 enzymes genes: CYP2C9, CYP2C19, and CYP2D6 known to influence the metabolism of SSRI medications: CYP2C19 for citalopram, CYP2D6 for paroxetine, CYP2D6 and CYP2C19 for sertraline, and CYP2D6 and CYP2C9 fluoxetine. In addition, we assessed the association of metabolizer phenotype and total body weight change at six months following SSRI prescription using parametric analysis of covariance adjusted for baseline body weight and multivariate regression models.
resultsCYP2C19 poor/intermediate metabolizers prescribed citalopram gained significantly more weight than normal or rapid/ultra-rapid metabolizers at 6 months (TBWG %: 2.6 [95% CI 1.3-4.1] vs. 0.4 [95% CI -0.5 - 1.3] vs. -0.1 [-95% CI -1.5-1.1]; p = 0.001). No significant differences in weight outcomes at six months of treatment with paroxetine, sertraline, or fluoxetine were observed by metabolizer status.
conclusionsWeight gain observed with citalopram may be mediated by CYP2C19 metabolizer status.
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