Phase 2b randomized clinical trial of amlitelimab, an anti-OX40 ligand antibody, in patients with moderate-to-severe atopic dermatitis
Bibliographic record
Abstract
BACKGROUND: Amlitelimab, a fully human nondepleting mAb targeting OX40 ligand on antigen-presenting cells, could prevent T-cell-driven inflammation seen in atopic dermatitis (AD). OBJECTIVE: This trial evaluated the efficacy and safety of amlitelimab in adults with AD. METHODS: In this 2-part, phase 2b, randomized, double-blinded placebo-controlled trial (ClinicalTrials.gov identifier NCT05131477), patients received subcutaneous amlitelimab every 4 weeks at doses of 250 mg plus a 500-mg loading dose, 250 mg, 125 mg, or 62.5 mg or placebo for 24 weeks in Part 1 (1:1:1:1:1 randomization). In Part 2, clinical responders were reallocated 3:1 to stop taking amlitelimab or continue the previous dose regimen for 28 weeks. The primary end point was percentage of change in Eczema Area and Severity Index (EASI) from baseline to week 16. RESULTS: In all, 390 and 190 patients enrolled in Part 1 and Part 2, respectively. A significant percentage of change decrease in EASI was observed with amlitelimab doses versus with placebo (P < .001). Clinical responses at week 24 (Investigator Global Assessment 0/1 and/or a 75% reduction in EASI) were maintained at week 52 in patients continuing or stopping amlitelimab. Of the patients maintaining clinical response at week 52 after no longer receiving treatment, more than 80% had serum amlitelimab concentrations less than the 4-μg/mL threshold for several weeks before week 52. Reductions in AD-related biomarkers during Part 1 were maintained through Part 2. Amlitelimab was well tolerated over 52 weeks. CONCLUSIONS: Amlitelimab treatment significantly reduced clinical and biomarker responses, and was well tolerated in adults with AD through week 52. Sustained responses were observed in the majority of patients for 28 weeks after they had stopped taking amlitelimab.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 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 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".