A novel variant in <i>RUNX1</i> in a patient with refractory eosinophilic gastrointestinal disease and long-term clinical response to ketotifen
Bibliographic record
Abstract
Background: Eosinophilic gastrointestinal disease (EGID) is an umbrella term for a heterogeneous group of disorders affecting the GI tract. In contrast to the relatively common eosinophilic esophagitis (EoE), eosinophilic gastroenteritis (EGE) remains poorly understood in terms of both its pathophysiology and genetic etiology, while treatment options remain limited. Aim: To expand the genotypic spectrum of EGE and describe our long-term experience of treatment with ketotifen. Methods: Case report of a patient with EGE followed by our team for over 27 years. Results: Our patient was diagnosed with EGE at the age of 4 years, accompanied by multiple other atopic manifestations and serum eosinophilia. He was later diagnosed with a heterozygous variant in RUNX1, a gene implicated in multi-lineage hematopoiesis, inhibition of Th2 polarization and T regulatory cell function. The patient has experienced long-term symptom improvement while treated with the mast cell stabilizing H1 antihistamine, ketotifen, with substantial symptomatic worsening after this agent was briefly stopped. Conclusion: We expand the genotypic spectrum of EGID etiology to include mutations in RUNX1, and suggest ketotifen as a viable option for patients with treatment-refractory EGE. Statement of novelty: This case reports on a possible novel genetic cause of EGID and describes long-term successful clinical management with ketotifen.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".