Integrated transcriptomic and machine learning analysis reveals novel diagnostic biomarkers for adolescent major depressive disorder
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.
Authors
- Runxu Yang (ORCID: https://orcid.org/0000-0002-2542-9597)
- Linling Jiang
- Yuchen Xie (ORCID: https://orcid.org/0000-0003-4838-7681)
- Jin Lü
- Yiqing He
- Junxi Pan
- Kun Lian
- Qingqing Qi
Institutions
- Kunming Medical University (CN)
- Centre for Mental Health (GB)
- Yunnan Maternal and Child Health (CN)
- First Affiliated Hospital of Kunming Medical University (CN)
Publication Details
- Journal
- Frontiers in Psychiatry
- Published
- 2026-01-30
- DOI
- https://doi.org/10.3389/fpsyt.2026.1712225
- Primary Topic
- Tryptophan and brain disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Kunming Medical University
- NIH Clinical Center