What question did this study set out to answer?

This study aims to identify peripheral biomarker patterns that distinguish major depressive disorder from bipolar disorder.

April 25, 2026MedicinaOpen Access

Integrated Chemometric and Machine Learning Analysis Identifies Peripheral Biosignatures Distinguishing Major Depressive Disorder from Bipolar Disorder: A Translational Cross-Sectional Study

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Cross-sectional study identifies distinct biomarkers for major depressive disorder and bipolar disorder, implying potential for improved diagnosis.

This study aims to identify peripheral biomarker patterns that distinguish major depressive disorder from bipolar disorder.
Cross-sectional design with 151 participants (MDD n=41; BD n=40; HC n=70)
Profiled 42 blood-derived parameters including inflammatory indices and circulating BDNF
Data analyzed using PCA, t-SNE, and PLS-DA with cross-validation and permutation testing
37 out of 42 parameters showed significant inter-group differences (p < 0.05)
Circulating NLRP3 was reduced in both psychiatric groups compared to HC
PLS-DA classification yielded 89.4% accuracy (AUC-ROC 0.947) for distinguishing psychiatric disorder from controls

Coradduzza et al. (2026) studied this question.

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Cross-sectional study identifies distinct biomarkers for major depressive disorder and bipolar disorder, implying potential for improved diagnosis.