Copper Dysregulation in Major Depression: A Systematic Review and Meta-Analytic Evidence for a Putative Trait Marker
Rosanna Squitti1,2,3, Mariacarla Ventriglia4, Ilaria Simonelli4,5
1Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125 Brescia, Italy.
This meta-analysis found higher serum copper levels in individuals with major depressive disorder (MDD). These findings suggest copper may serve as a potential biomarker for MDD, particularly in females.
Area of Science:
- Neurobiology
- Biochemistry
- Psychiatry
Background:
- Major depressive disorder (MDD) is a significant cause of global disability.
- Current diagnostic and monitoring methods for MDD lack reliable peripheral biomarkers.
- Copper (Cu) is an essential trace element implicated in redox balance and neurotransmitter metabolism, with inconsistent associations reported for MDD.
Purpose of the Study:
- To systematically evaluate and quantify serum copper concentrations in individuals with MDD compared to healthy controls.
- To investigate potential moderators of the Cu-MDD association, such as sex, age, and analytical methods.
Main Methods:
- A systematic review and meta-analysis of observational studies was conducted.
- Data from 24 studies involving 8617 participants (2736 MDD, 5881 controls) were analyzed.
- Subgroup and sensitivity analyses were performed to explore heterogeneity and robustness.
Main Results:
- Pooled analysis revealed significantly higher serum copper levels in MDD patients (Mean Difference = 2.22 µmol/L, p=0.001).
- Elevated copper levels were also observed in subgroup analyses of females (Mean Difference = 1.39 µmol/L, p=0.009).
- High heterogeneity (I² = 98.6%) was noted, but results were robust in sensitivity analyses, and publication bias was not indicated.
Conclusions:
- The study supports an association between altered copper homeostasis and MDD.
- Elevated serum copper may represent a potential trait biomarker for MDD, observed across various subgroups.
- Further research with standardized measurements and longitudinal designs is necessary to confirm clinical utility.
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