Depression's biological fingerprint: a quest for objective diagnosis and personalized treatment
NCT ID NCT07735143
First seen Jul 29, 2026 · Last updated Aug 04, 2026 · Updated 3 times
Summary
This study aims to develop models that combine clinical assessments with biological data (multi-omics) to improve diagnosis of major depressive disorder and predict how patients will respond to antidepressants. Researchers will follow 150 participants aged 14-45 with depression, along with healthy controls, collecting blood samples and clinical evaluations over time. The goal is to identify reliable biomarkers that could one day guide personalized treatment decisions.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to biological tests that help diagnose depression and predict which antidepressant will work for a person.
- What could go wrong
- This is an observational study, not a treatment trial. The models may not prove accurate enough for routine use, and results may not apply to all age groups or populations.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Shanghai Mental Health Center
Shanghai, 200030, China
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