Identifying circulating biomarkers for major depressive disorder

Objective To date, the current diagnosis of major depressive disorder (MDD) still depends on clinical symptomatologic criteria, misdiagnosis and ineffective treatment are common. The study aimed to explore circulating biomarkers for MDD diagnosis. Methods A high-throughput antibody array technology was utilized detect 440 cytokines in eight patients age–and gender-matched healthy controls. LASSO regression conducted MDD-related characteristic proteins selection. Enzyme-linked immunosorbent assay (ELISA) used validate 40 Receiver operating (ROC) curve employed evaluate diagnostic values discriminating from Correlations between levels depression severity (HAMD-17 scores) were evaluated using linear regression. Results 59 found aberrant compared with six including insulin, CD40L, CD155, Lipocalin-2, HGF LIGHT. ROC analysis showed that area under (AUC) more than 0.85 Furthermore, significant relationship HGF, LIGHT HAMD-17 scores group. Conclusion These results suggested screened differential may hold promise as MDD. Among proteins, might be useful estimate symptoms.