Evidence map›Paper›PMID 42421769›Full record

ArticleNature. Mental health2026

A precision medicine trial of bupropion and sertraline for major depressive disorder using a biomarker-guided sequential multiple-assignment design.

Peter Zhukovsky, Manuel Kuhn, Lauren R Borchers, Boyu Ren, Sarah E Woronko, Mohan Li, Choi Sze Tracy Lam, Ethan M Zhang, Kerry J Ressler, Brian P Brennan and 2 more

Registry-linked trialAbstract read
In one paragraph

Article in Nature. Mental health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05537584 (SMART Trial to Predict Anhedonia Response to Antidepressant Treatment), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05537584 phase4completednot on this map

SMART Trial to Predict Anhedonia Response to Antidepressant Treatment

TypeinterventionalSponsorMclean HospitalRan2022 to 2025Enrolled133ConditionsMajor Depressive DisorderArmsSertraline, Bupropion
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Peter Zhukovsky *Center for Depression, Anxiety, and Stress Research, McLean Hospital, Belmont, MA USA.ORCID 0000-0002-7181-2095
Manuel Kuhn *Center for Depression, Anxiety, and Stress Research, McLean Hospital, Belmont, MA USA.ORCID 0000-0003-2210-9130
Lauren R Borchers *Center for Depression, Anxiety, and Stress Research, McLean Hospital, Belmont, MA USA.
Boyu RenCenter for Depression, Anxiety, and Stress Research, McLean Hospital, Belmont, MA USA.
Sarah E WoronkoCenter for Depression, Anxiety, and Stress Research, McLean Hospital, Belmont, MA USA.ORCID 0000-0001-6517-4106
Mohan LiCenter for Depression, Anxiety, and Stress Research, McLean Hospital, Belmont, MA USA.ORCID 0009-0008-6615-8077
Choi Sze Tracy LamCenter for Depression, Anxiety, and Stress Research, McLean Hospital, Belmont, MA USA.
Ethan M ZhangCenter for Depression, Anxiety, and Stress Research, McLean Hospital, Belmont, MA USA.
Kerry J ResslerCenter for Depression, Anxiety, and Stress Research, McLean Hospital, Belmont, MA USA.ORCID 0000-0002-5158-1103
Brian P BrennanCenter for Depression, Anxiety, and Stress Research, McLean Hospital, Belmont, MA USA.
Gordana VitalianoCenter for Depression, Anxiety, and Stress Research, McLean Hospital, Belmont, MA USA.ORCID 0000-0002-9371-3733
Diego A PizzagalliCenter for Depression, Anxiety, and Stress Research, McLean Hospital, Belmont, MA USA.ORCID 0000-0002-7772-1143

Funding

Neuroimaging Studies of Reward Processing in DepressionR37MH068376 · NIMH · UNIVERSITY OF CALIFORNIA-IRVINE · PI Diego A Pizzagalli · 2016 to 2026
$7.4M
NIMH NIH HHS R37 MH068376
6 · The paper itself

Abstract

Treatment for major depressive disorder (MDD) remains challenging as only 30-50% of patients respond to first-line antidepressant medications in primary care. Here we developed algorithms using predictors of response to sertraline and bupropion from a multisite study, and tested such markers in an independent, prospective clinical trial involving unmedicated individuals with MDD (NCT05537584). Leave-one-out cross-validation models achieved good performance in the training sample (area under the curve of 0.66-0.86). In the preregistered clinical trial, no significant differences in treatment outcomes emerged for those assigned a drug consistent versus inconsistent with their biomarkers. However, significant differences emerged in symptom reduction trajectories for those with positive markers for both medications (response rate: 71.4%) or either drug (65.4%) compared with those with two negative markers (42.9%). This is the first study using biobehavioral markers to prospectively guide assignment to two widely used antidepressants, yielding a 66.8% boost in response rate and providing foundations for larger personalized treatment studies of MDD.

Indexed as

DepressionReward

Identifiers

PMID42421769
PMCPMC13341311

What Socratic holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.