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Record W4412615148 · doi:10.15690/pf.v22i3.2915

The Composition of the Intestinal Microbiota in Young Children with IgE-mediated and Non-IgE-mediated Food Allergies: Cross Sectional Study

2025· article· en· W4412615148 on OpenAlexaff
Regina A. Shukenbaeva, I. А. Belyaeva, Tatiana V. Turti, Еlena P. Bombardirova

Bibliographic record

VenueПедиатрическая фармакология · 2025
Typearticle
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsChildren’s Health Research Institute
Fundersnot available
KeywordsImmunoglobulin EAllergyImmunologyMedicineEnvironmental healthBiologyAntibody

Abstract

fetched live from OpenAlex

Background. Changes in microbiocenosis during critical periods of ontogenesis are of particular importance, as they create prerequisites for the formation of delayed pathology. However, in infants with allergies, the association of changes in the intestinal microbiota with certain allergens has not been sufficiently studied. The aim of the study is the determination the composition features of the intestinal microbiota in young children with IgE-mediated and non-IgE-mediated food allergies. Methods. In infants 6–12 months old with food allergy symptoms, the composition of the intestinal microbiota was studied (culture method), the presence of IgE was determined by chemiluminescence immunoassay, and the levels of sensitization were studied by the ImmunoCAP ISAC method. The data obtained has been subjected to correlation analysis. Results. There were 56 full-term infants with allergy symptoms, of whom 15 (27%) were born by caesarean section, 12 (21%) received antibiotics in the perinatal period, and 30 (54%) stopped exclusive breastfeeding early. When assessing the intestinal microbiota, a decrease in symbiont levels was noted in 32 (57%) patients. An increased content of Klebsiella spp. was revealed — in 21 (38%), Clostridium spp. — 5 (9%) have Enterobacter spp. — in 5 (9%), Escherichia coli lactose-negative — in 11 (20%), Citrobacter spp. — in 4 (7%), Escherichia coli hemolytic — in 7 (13%). According to the results of immunological studies, patients were divided into 2 subgroups: with IgE-mediated (n = 10) and non-IgE-mediated food allergies (n = 46). In patients with IgE-mediated allergy, significant positive associations were found: SiGe to alpha-lactalbumin and casein (Bos d4, Bos d8), lysozyme (Gal d4) with hemolytic Escherichia coli content (R = 0.31; 0.35; 0.37); SiGe to casein (Bos d8), lysozyme (Gal d4) containing Clostridium spp. (R = 0.30; 0.32). Conclusion. The interrelationships of IgE-mediated sensitization to food allergens and the composition of the intestinal microbiota are the basis for the development of methods for individualized correction of the allergic phenotype.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.009
GPT teacher head0.274
Teacher spread0.266 · 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 designObservational
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
Published2025
Admission routes1
Has abstractyes

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