Phase 1 trial supports safety and mechanism of action of peptide immunotherapy for peanut allergy
Bibliographic record
Abstract
Abstract Background Food allergy is a leading cause of anaphylaxis worldwide. Allergen‐specific immunotherapy is the only treatment shown to modify the natural history of allergic disease, but application to food allergy has been hindered by risk of severe allergic reactions and short‐lived efficacy. Allergen‐derived peptides could provide a solution. PVX108 comprises seven short peptides representing immunodominant T‐cell epitopes of major peanut allergens for treatment of peanut allergy. Methods Pre‐clinical safety of PVX108 was assessed using ex vivo basophil activation tests ( n = 185). Clinical safety and tolerability of single and repeat PVX108 doses were evaluated in a first‐in‐human, randomized, double‐blind, placebo‐controlled trial in peanut‐allergic adults (46 active, 21 placebo). The repeat‐dose cohort received six doses over 16 weeks with safety monitored to 21 weeks. Exploratory immunological analyses were performed at pre‐dose, Week 21 and Month 18 after treatment. Results PVX108 induced negligible activation of peanut‐sensitised basophils. PVX108 was safe and well tolerated in peanut‐allergic adults. There were no treatment‐related hypersensitivity events or AEs of clinical concern. The only events occurring more frequently in active than placebo were mild injection site reactions. Exploratory immunological analyses revealed a decrease in the ratio of ST2 + Th2A:CCR6 + Th17‐like cells within the peanut‐reactive Th pool which strengthened following treatment. Conclusion This study supports the concept that PVX108 could provide a safe alternative to whole peanut immunotherapies and provides evidence of durable peanut‐specific T‐cell modulation. Translation of these findings to clinical efficacy in ongoing Phase 2 trials would provide important proof‐of‐concept for using peptides to treat food allergy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".