09/11/2026
Could biomarkers help us move beyond trial-and-error prescribing in depression?
Currently, the response rate to a first antidepressant trial is around 30- 50%. Many patients try a number of different SSRIs hoping to find one that both reduces symptoms and has few or no significant side effects.
A recent study published in Nature Mental Health offers promising evidence for the potential of precision psychiatry in antidepressant treatment. Researchers tested biomarker-based predictors developed from the EMBARC clinical trial in a new group of previously untreated patients in the SMART-D trial.
The findings:
- Participants with positive biomarkers for both sertraline (Zoloft) and bupropion (Wellbutrin) had a 71.4% response rate after 8 weeks.
- Those with no positive biomarkers had a 42.9% response rate
- This represents a 66% higher response rate among the biomarker-positive group.
The predictors combined fMRI measures, reward learning, cognitive control, clinical characteristics, and demographic factors.
Importantly, the SMART-D sample was small (47 participants), and further replication in larger and more diverse populations will be needed.
While these findings are not yet ready for routine clinical use, this is another step forward towards using a patient's biological and clinical profile and precision psychiatry for treating mental illness.
Fore more information on this trial:
In this precision trial, Zhukovsky et al. developed algorithms to predict sertraline or bupropion response, assigning independent, medication-free patients with major depressive disorder to one drug or the other on the basis of biobehavioral precision markers validated in a prospective trial.