March 3, 2026Open Access

Integrated transcriptomic and machine learning analysis reveals novel diagnostic biomarkers for adolescent major depressive disorder

Key Points

A three-gene biosignature was identified as a novel diagnostic tool for adolescent major depressive disorder.
The biosignature consists of SLC4A1, IGF1, and MMP9, indicating immune-metabolic involvement.
Observational analysis identified these molecular changes within adolescents experiencing depression.
This work highlights potential pathways for precision medicine in treating adolescent mental health issues.

Abstract

This study delineates a systemic molecular landscape of adolescent MDD defined by the coexistence of hypoxic compensation and neurotrophic/remodeling failure. The identified three-gene biosignature (SLC4A1, IGF1, MMP9) offers a promising, objective tool for the early diagnosis of adolescent depression, highlighting the immune-metabolic interface as a critical avenue for future precision medicine.

Bookmark

View Full Paper

Cite This Study

Yang et al. (Fri,) studied this question.

synapsesocial.com/papers/69a75eccc6e9836116a29b97 https://doi.org/https://doi.org/10.3389/fpsyt.2026.1712225

Bookmark

View Full Paper