ArticleFrontiers in pharmacology2024
Overweight and glucose/lipid metabolism abnormality associated with SSRIs: a pharmacovigilance study based on the FDA adverse event reporting system.
Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The effects of fluoxetine on body weight, waist circumference, and body mass index in individuals who are overweight or have obesity: a meta-analysis of randomized controlled trials.International journal of obesity (2005) · 2025Pooled it
- Temsirolimus safety evaluation: real-world adverse event analysis from the FDA adverse event reporting system database.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- SSRIs-induced liver injury adverse events: a data-based retrospective study and investigation of potential toxicological mechanisms.Frontiers in pharmacology · 2026Article
- Role of central and peripheral serotonin in liver physiology and diseases.Theranostics · 2026Review
- Article
- The Potential Role of SGLT2 Inhibitors in the Treatment of Depression: Mechanisms and Clinical Prospects.Drug design, development and therapy · 2026Review
- How diet therapy affects obesity-associated depressive symptoms: from mechanism to therapeutics.Frontiers in neuroscience · 2026Review
- Exploration of the associations between violent and aggressive behaviors risk and NHHR, TyG in patients with schizophrenia: an SHAP interpretable machine learning prediction and FAERS pharmacovigilance analysis.Lipids in health and disease · 2025Article
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Authors and funding
8 authors.
Funding
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Abstract
Background: In the past few decades, selective serotonin reuptake inhibitors (SSRIs) became widely used antidepressants worldwide. Therefore, the adverse reactions of patients after SSRI administration became a public and clinical concern. In this study, we conducted a pharmacovigilance study using the Adverse Event Reporting System (FAERS) database of the US Food and Drug Administration. Our main goal was to evaluate adverse events related to SSRIs, with a particular focus on abnormal weight gain and glucose/lipid metabolism disorders. Method: The adverse event data for representative SSRIs (citalopram, escitalopram, fluoxetine, fluvoxamine, paroxetine, sertraline) was extracted from the FAERS database from 2004Q1 to 2023Q4. The reporting odds ratio and proportional reporting ratio were employed to explore relevant adverse event reports (ADEs) signals. Univariate logistic regression analysis was utilized to explore factors associated with glucose/lipid metabolism abnormality following SSRIs treatment. Results: We identified 143,744 ADE reports associated with SSRIs and revealed significant abnormal signals related to weight gain and glucose/lipid metabolism in depressed patients. Variations were observed among different SSRIs medications. Specifically, citalopram was associated with abnormal weight gain (ROR: 4, 95% CI: 3.1-5.2) and hepatic steatosis (ROR: 2.8, 95% CI: 2.1-3.6); escitalopram was correlated with gestational diabetes (ROR: 9.1, 95% CI: 6.6-12.4) and cholestasis (ROR: 2.4, 95% CI: 1.75-3.38); fluoxetine was associated with obesity (ROR: 2.8, 95% CI: 2.08-3.78); fluvoxamine was linked to arteriospasm coronary (ROR: 13.87, 95% CI: 4.47-43.1); and sertraline was implicated in neonatal jaundice (ROR: 16.1, 95% CI: 12.6-20.6). Females and younger age are important risk factors for the development of associated adverse effects. Conclusion: Our study screened for adverse effects associated with abnormal glucose/lipid metabolism, such as abnormal body weight and fatty liver, in depressed patients taking selective serotonin reuptake inhibitors by utilizing FAERS database. This provides valuable insights for healthcare professionals in accepting and managing patients treated with SSRIs.
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