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Azetukalner, a Novel K<sub>V</sub>7 Potassium Channel Opener, in Adults With Major Depressive Disorder

2025· article· en· W4410775242 on OpenAlexaff
Noam N. Butterfield, Constanza Luzon Rosenblut, Maurizio Fava, Christoph U. Correll, Anthony J. Rothschild, James W. Murrough, Sanjay J. Mathew, Gregory N. Beatch, Celene Grayson, Cynthia L. Harden, Jenny Qian, Joe McIntosh, Rostam Namdari, Christopher Kenney

Bibliographic record

VenueJAMA Network Open · 2025
Typearticle
Languageen
FieldMedicine
TopicTreatment of Major Depression
Canadian institutionsXenon Pharmaceuticals (Canada)
Fundersnot available
KeywordsPlaceboMajor depressive disorderBeck Depression InventoryHamilton Rating Scale for DepressionHamilton Anxiety Rating ScaleRandomized controlled trialAdverse effectMedicineRating scaleAnxietyInternal medicinePhysical therapyDepression (economics)PsychiatryPsychologyMood

Abstract

fetched live from OpenAlex

Importance: Available antidepressants provide inadequate therapeutic responses in many patients with major depressive disorder (MDD), highlighting a substantial unmet need. Objective: To evaluate the efficacy and safety of azetukalner, a novel, potent KV7 potassium channel opener, in participants with MDD. Design, Setting, and Participants: X-NOVA was a multicenter, proof-of-concept, phase 2, randomized, double-blind, parallel-group, placebo-controlled clinical trial that evaluated azetukalner in participants (adults aged ≥18 to ≤65 years) with moderate to severe MDD in a current depressive episode. Participants were enrolled between April 2022 and October 2023, and data analysis occurred from January 2023 to January 2024. Intervention: Participants were randomized (1:1:1) to 10 mg of azetukalner, 20 mg of azetukalner, or placebo orally once daily with food for 6 weeks, with a 4-week follow-up. Concomitant antidepressant medications were not permitted. Main Outcomes and Measures: The primary efficacy end point was change in Montgomery-Åsberg Depression Rating Scale (MADRS) score at week 6. Secondary end points included change from baseline at week 6 in the Snaith-Hamilton Pleasure Scale (SHAPS) and Beck Anxiety Inventory. Exploratory end points included change in the Hamilton Depression Rating Scale, 17-Item (HAM-D17) score and change in MADRS at week 1. Frequency and severity of treatment-emergent adverse events (TEAEs) were recorded. Results: Altogether, 168 participants were randomized (56 to placebo, 56 to 10 mg of azetukalner, and 56 to 20 mg of azetukalner); mean (SD) age was 47.2 (13.6) years, and 111 participants (66.5%) were female. The modified intent-to-treat and safety populations consisted of 164 and 167 participants, respectively. The mean (SE) reduction in MADRS scores from baseline to week 6 was -13.90 (1.41) points with placebo, -15.61 (1.34) points with 10 mg of azetukalner, and -16.94 (1.45) points with 20 mg of azetukalner; the mean (SE) reduction with 20 mg of azetukalner vs placebo was clinically meaningful but not statistically significant (-3.04 points; 95% CI, -7.04 to 0.96 points; P = .14) at week 6, while significant at week 1 (-2.66 points; 95% CI, -5.30 to -0.03 points; P = .047). The mean (SE) reduction in HAM-D17 from baseline to week 6 was significantly greater with 20 mg of azetukalner vs placebo (-13.3 [1.1] vs -10.2 [1.0] points; P = .04). The mean (SE) reduction in SHAPS scores from baseline to week 6 was significantly greater with 20 mg of azetukalner vs placebo (-7.77 [0.87] vs -5.30 [0.85] points; P = .046). Similar rates of discontinuation due to TEAEs were reported across groups. Conclusions and Relevance: In this randomized clinical trial of azetukalner, preliminary findings supported its further clinical development for the treatment of MDD and anhedonia. Trial Registration: ClinicalTrials.gov Identifier: NCT05376150.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.223
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.259
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2025
Admission routes1
Has abstractyes

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