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The association between depressive symptom severity and metabolic disturbances in major depressive and bipolar disorders: A systematic review and meta-analysis

  • Sabrina Wong
  • , Gia Han Le
  • , Hernan F. Guillen-Burgos
  • , Roger Ho
  • , Bing Cao
  • , Heidi K.Y. Lo
  • , Kayla M. Teopiz
  • , Roger S. McInyre
  • Brain and Cognition Discovery Foundation
  • University Health Network
  • University of Toronto
  • Center for Clinical and Translational Research
  • Universidad Simón Bolívar
  • National University of Singapore
  • Hong Kong University of Science and Technology
  • Southwest University
  • The University of Hong Kong

Research output: Contribution to journalReview articlepeer-review

Abstract

Background Persons with depression are differentially affected by metabolic alterations, notably, insulin resistance and dyslipidemia. Metabolic alterations affect acute pharmacotherapy response and predispose risk for cardiovascular diseases. We aimed to extend knowledge pertaining to the depression-metabolic alteration association by evaluating whether depressive symptom severity moderates the association. Methods We conducted a systematic search of PubMed, Ovid and Scopus from inception to May 2025. Two reviewers (S.W. and G.H.L.) independently screened the identified studies. Studies were included if they enrolled adults with depression and reported on at least one metabolic parameter (i.e., fasting glucose, insulin, lipid panels). Standardized mean differences of metabolic parameters were pooled across studies. Results We identified 28 studies for inclusion. Persons with depression exhibited higher fasting glucose (SMD = 0.30, 95 % CI [0.12, 0.48]) and dyslipidemia [i.e., trends of increased low-density lipoprotein (SMD = 0.21, 95 % CI [−0.03, 0.44]) and lower high-density lipoprotein (SMD = −0.72, 95 % CI [−1.41, −0.03])]. Measures of insulin resistance were positively associated with anhedonia severity, sleep disturbances, and suicidal ideation. Limitations Between-study methodological differences, including study design and sociodemographics, affects the synthesis of overall trends. Conclusion Herein, we identify an association between depressive symptom severity and dysglycemia, dyslipidemia and insulin resistance. The results augment the conceptual framework implicating metabolic disturbances in depression pathophysiology and indirectly support testing that therapeutics currently in development in the treatment of depression (e.g., GLP-1 receptor agonists) may exhibit differential efficacy as a function of illness severity.

Original languageEnglish
Article number120783
JournalJournal of Affective Disorders
Volume395
Issue numberPt B
DOIs
StatePublished - 15 Feb 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Bipolar depression
  • Dyslipidemia
  • HOMA-IR
  • Insulin resistance
  • Major depressive disorder
  • Metabolics
  • Severity of Illness Index
  • Humans
  • Blood Glucose/metabolism
  • Bipolar Disorder/metabolism
  • Dyslipidemias/metabolism
  • Insulin Resistance/physiology
  • Depressive Disorder, Major/metabolism

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