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Record W2779712121 · doi:10.1007/s00005-017-0501-7

Allergen-Specific T Cells in IgE-Mediated Food Allergy

2017· review· en· W2779712121 on OpenAlexaff
Aziza Saidova, Ahuva Magder Hershkop, Marta Ponce, Thomas Eiwegger

Bibliographic record

VenueArchivum Immunologiae et Therapiae Experimentalis · 2017
Typereview
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsSickKids FoundationUniversity of TorontoHospital for Sick Children
Fundersnot available
KeywordsImmunologyFood allergyAllergyAllergenImmunoglobulin EMedicineContext (archaeology)SensitizationEffectorAnaphylaxisAntibodyBiology

Abstract

fetched live from OpenAlex

T cells have a pivotal role in causing and maintaining the allergic response to food allergens. The purpose of this review is to provide an overview on the role of allergen-specific T cells in food allergy during allergic sensitization, natural tolerance development and allergen immunotherapy. Allergen-specific T cells in the context of food allergy are predominantly of a Th2 type with slightly different surface marker expression patterns in different food allergies. During the process of reverting food allergy to a status of tolerance or sustained unresponsiveness there is a loss of this Th2 committed compartment with an asymptotic approximation to a regulatory and Th0/Th1 dominated compartment seen in non-allergic individuals. This process is accompanied by a significant reduction of absolute frequencies of allergen-specific T cells. Particularly, regulatory T cells may provide significant help to achieve sustained control of the effector cell populations via suppression of effector cell function and possibly induction of blocking antibodies.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.002

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 head0.140
GPT teacher head0.402
Teacher spread0.262 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations37
Published2017
Admission routes1
Has abstractyes

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