Participation of reactive oxygen species in the pathogenesis of food allergies
Bibliographic record
Abstract
There has been a significant increase in the incidence of allergic diseases for several decades.There is even a talk of "an epidemic of the 21 st century" in relation to, for example, food allergies (FAs).Modern lifestyle and environmental factors contribute to a further increase in disease incidence.The authors proved that the first three years of life are a very important period for the proper development of microflora and taking actions in the context of prevention/therapy; and antibiotic therapy and diet play a significant role in shaping a stable microbiota.An adverse immune reaction to food is referred to as a FA.Immune reactions to food allergens can generally be divided into: IgE-mediated, non-IgE-mediated and mixed.Reactive oxygen species (ROS) are involved in the pathogenesis of FAs.Oxidative stress induces inflammation in tissues; excessive amounts of ROS damage intestinal tissue, disrupt normal cell function, and in eosinophilic esophagitis (EoE) impair the Keap1/Nrf2 pathway. Key woRdsfood allergies, reactive oxygen species, oxidative stress, inflammation.stReszczenie Od kilku dekad obserwuje się znaczny wzrost zachorowań na choroby o podłożu alergicznym.Mówi się nawet o "epidemii XXI wieku" w odniesieniu do na przykład alergii pokarmowej (AP).Współczesny styl życia oraz czynniki środowiskowe sprzyjają ich dalszemu wzrostowi.Autorzy udowodnili, że pierwsze 3 lata życia stanowią ważny okres dla prawidłowego rozwoju mikroflory oraz podejmowania działań w zakresie prewencji lub terapii, a antybiotykoterapia lub dieta odgrywają znaczącą rolę w kształtowaniu stabilnej mikrobioty.Niepożądana reakcja immunologiczna na pokarm nazywana jest AP.Reakcje immunologiczne na alergeny pokarmowe można ogólnie podzielić na: IgE-zależne, nie-IgE-zależne i mieszane.Reaktywne formy tlenu (RFT) biorą udział w patogenezie AP.Stres oksydacyjny indukuje stany zapalne w tkankach; nadmierne ilości RFT uszkadzają tkankę jelitową, zaburzają normalne funkcjonowanie komórek i w eozynofilowym zapaleniu przełyku (EoE) upośledzają szlak Keap1/Nrf2.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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.
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".