Safety and Efficacy of the NMDA‐2b‐Selective Negative Allosteric Modulator BI 1569912: A Phase Ib Randomized Trial in Major Depressive Disorder
Bibliographic record
Abstract
Selective N-methyl-D-aspartate receptor subunit 2b negative allosteric modulators (NR2B NAMs) are being explored as potential new treatment options for major depressive disorder (MDD). This Phase Ib, randomized, double-blind, placebo-controlled, parallel-group trial was conducted in adults (N = 59) with moderate-to-severe MDD and insufficient response to ongoing antidepressant monotherapy. Participants were randomized (1:1:1) to a novel NR2B NAM, BI 1569912 (5 mg or 20 mg tablet) or placebo. The primary safety endpoint was the number and percentage of participants with drug-related adverse events (AEs) from the start of treatment to Day 15. Dissociation and psychedelic symptoms were assessed by the Clinician-Administered Dissociative States Scale (CADSS) and Bowdle-Visual Analog Scale (B-VAS), respectively. Preliminary efficacy assessments included the maximum decrease from baseline in the Montgomery-Åsberg Depression Rating Scale (MADRS) total score within a 7-day interval (primary) and the change from baseline in MADRS total score at individual time points (exploratory). The proportion of participants with ≥ 1 AE was similar between BI 1569912 and placebo, with no dose-dependent trend. There was no increase in suicidal or dissociative symptoms and no clinically relevant sign of human abuse potential. The maximum decrease from baseline in MADRS within a 7-day interval was similar across groups; however, a single BI 1569912 20-mg dose provided a clinically relevant 3.4- to 4.9-point improvement in MADRS total score vs. placebo at Days 2, 4, and 6, meeting predefined criteria for further development. The favorable safety profile and preliminary efficacy signals support continued development of BI 1569912 for adults with MDD.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".