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Towards Objective Major Depressive Disorder Detection: a Systematic Review and Meta-Analysis of Diagnostic Biomarkers
Zain-Ul-Abideen Gulbaz1, Shaper Mirza2, Sadiq Naveed3,4,5
1Electrical Engineering Department, Lahore University of Management Sciences, Lahore, Pakistan.
Identifying reliable diagnostic biomarkers for major depressive disorder (MDD) is crucial. This review highlights Interleukin-6, BDNF, cortisol, and TNF-α as promising biomarkers, though further validation is needed for clinical use.
Area of Science:
- Biomarker Discovery
- Neuroscience
- Psychiatry
Background:
- Reliable diagnostic biomarkers for major depressive disorder (MDD) are currently lacking.
- Current diagnostic methods for MDD rely heavily on clinical observation and subjective criteria.
Purpose of the Study:
- To systematically review and quantify promising diagnostic biomarkers for MDD in bodily fluids.
- To identify biomarkers with potential for clinical application in diagnosing major depressive disorder.
Main Methods:
- Comprehensive electronic literature search (PubMed, PsycINFO, ScienceDirect, Google Scholar) from 2013-2023.
- Inclusion of studies on adult human participants comparing MDD patients with healthy controls using bodily fluid biomarkers.
- Exclusion of studies on comorbid illnesses, animal models, and neuroimaging.
Main Results:
- 312 diagnostic biomarkers for MDD were identified from 175 studies.
- Interleukin-6 (IL-6), Brain-Derived Neurotrophic Factor (BDNF), cortisol, C-reactive protein (CRP), and Tumor Necrosis Factor-alpha (TNF-α) were the most frequent biomarkers.
- Meta-analysis confirmed significant associations between IL-6, BDNF, cortisol, and TNF-α with MDD.
Conclusions:
- IL-6, BDNF, cortisol, and TNF-α show potential as diagnostic biomarkers for MDD.
- Further validation across diverse populations is essential for clinical implementation.
- Future research should focus on biomarker panels and standardized methodologies to improve MDD diagnostic accuracy.
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