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S2459 Bad News Gummy Bears: A Case of Gastrointestinal-Isolated Alpha-Gal Allergy

2022· article· en· W4316077763 on OpenAlexaboutno aff
Chris Lee, Sarah McGill

Bibliographic record

VenueThe American Journal of Gastroenterology · 2022
Typearticle
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAbdominal painIrritable bowel syndromeVomitingIngestionGastroenterologyColonoscopyInternal medicineElimination dietAnaphylaxisDiarrheaDermatologyFood allergyAllergyImmunology

Abstract

fetched live from OpenAlex

Introduction: Galactose-α-1,3-galactose (alpha-gal) allergy is an IgE-mediated reaction to mammalian meat and dairy, with symptoms typically developing 3 to 6 hours after ingestion. Alpha-gal allergy with isolated gastrointestinal (GI) symptoms (abdominal pain, diarrhea, vomiting) without urticaria or anaphylaxis has been described. Case Description/Methods: A 49-year-old male presented to GI clinic with years of episodic cramping abdominal pain and 4-6 diarrheal stools daily. Colonoscopy, EGD, CT abdomen, and hydrogen breath testing were unrevealing. We diagnosed irritable bowel syndrome. Rifaximin briefly relieved symptoms. He did not tolerate tricyclic antidepressants. Serum alpha-gal IgE level was found to be elevated at 0.27 kU/L (reference range, < 0.1 kU/L) after the patient reported past tick bites. The patient stopped eating mammalian meat and symptoms improved but continued. He further excluded gelatin in the form of gummy bears, dairy, and carrageenan, which led to near resolution of symptoms. At a visit 2 years following allergy diagnosis, he reported one formed stool daily and no chronic abdominal pain. Self-challenging with foods that have small amounts of alpha gal, like a handful of gummy bears, had resulted in severe abdominal cramping. Discussion: The diagnosis of GI alpha-gal syndrome can be challenging because of delayed onset of symptoms after eating mammalian products, nonspecific GI complaints on presentation, and overlap with preexisting GI diseases. While sensitization is believed to be caused by a bite from the Lone Star tick, not all patients report a history of tick bites. Further studies are needed to better characterize GI alpha gal, but 2 cohort studies found that ∼75% of patients improved on a diet free of mammalian products. These diets are somewhat ill-defined in how strict they are, particularly whether they are just free of mammalian meat or all products containing alpha-gal. A stepwise approach is recommended, starting with mammalian meat, then dairy, and then gelatin, gelatin capsules, and mammalian food additives if symptoms persist. Our patient experienced improvement in symptoms with elimination of mammalian meat from his diet, but no resolution until he eliminated all alpha-gal, particularly gelatin and carrageenan. This case highlights the importance of a thorough history, increased awareness of foods containing alpha-gal, and the need for future prospective studies for improving early recognition and treatment of GI alpha gal (Figure).Figure 1.: Recommended order of alpha-gal elimination from the diet: (i) mammalian meat with or without dairy; (ii) dairy; and (iii) gelatin, gelatin capsules, and mammalian food additives. Figure used with permission from McGill SK, Richards RD Jr, Commins SP. Suddenly Steakless: A Gastroenterologist's Guide to Managing Alpha-Gal Allergy. Am J Gastroenterol. 2022;117(6):822-826.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0070.004
Insufficient payload (model declined to judge)0.0060.002

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 head0.014
GPT teacher head0.284
Teacher spread0.270 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations0
Published2022
Admission routes1
Has abstractyes

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