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Record W3171238817 · doi:10.1093/cdn/nzab061_020

Supplementing Docosahexaenoic Acid and Arachidonic Acid During Suckling Period Is Beneficial for Developing Tolerance to Egg Protein in Allergy Prone Brown Norway Rats

2021· article· en· W3171238817 on OpenAlexaff
Dhruvesh Patel, Susan Goruk, Caroline Richard, Catherine J. Field

Bibliographic record

VenueCurrent Developments in Nutrition · 2021
Typearticle
Languageen
FieldNursing
TopicFatty Acid Research and Health
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDocosahexaenoic acidArachidonic acidWeaningInternal medicineEndocrinologySplenocyteOvalbuminEicosapentaenoic acidIonomycinBiologyMedicineImmune systemImmunologyFatty acidPolyunsaturated fatty acidBiochemistryStimulationSpleen

Abstract

fetched live from OpenAlex

We aimed to study the effect of supplementing arachidonic acid (ARA) and docosahexaenoic acid (DHA) during suckling (through Suckling Diet, SD) and weaning (through weaning diet, WD) on oral tolerance (OT) development in allergy susceptible Brown Norway rats. Dams were assigned to consume either ARA+DHA (0.4% ARA, 0.8% DHA w/w total fat) SD or control SD (0% ARA, DHA) for 21d during the pups’ suckling period. At 21d, pups from each SD group were randomized to receive ARA + DHA WD (0.5% ARA, 0.5% DHA w/w total fat) or control WD (0% ARA, DHA) until 8wk. Between 21–25 d, pups from each of the 4 diet groups were randomized to receive ovalbumin (Ova, 3 mg) or a placebo (8% sucrose) for OT induction. At 7 wk, pups received an Ova + alum injection IP to induce systemic immunization. In necropsy, plasma was collected and splenocytes were isolated to determine immune cell types and ex-vivo cytokine production to phorbol myristate acetate + ionomycin (PMAi). Although higher DHA levels in dams’ breastmilk were seen with ARA+DHA SD, this SD effect was not seen in the 8wk pups. At 8wks, ARA+DHA WD resulted in significantly higher DHA level in (1.5x) plasma phospholipids (PL) and (2x) splenocytes. ARA composition in pups’ plasma and splenocytes PL was not different among SD and WD groups. OT development was confirmed by a significantly lower plasma level of Ova-IgG1 and Ova-IgE in Ova OT groups. Further, SD ARA+DHA supplementation also had 30% lower plasma Ova-IgG1 than control SD (P = 0.02) but the SD had no effect on production of IL2, IL4, IL10, IFNg, TNFα and IL13 by PMAi stimulated splenocytes. However, pups from Ova group that received ARA+DHA SD and control WD produced more TGFβ than control for SD and WD (P = 0.05). Pups from sucrose OT groups, when supplemented with ARA+DHA SD had 50% higher T regulatory cells (CD3+CD4+CD25+FoxP3+, Tregs) than controls SD in spleen. In pups that received control SD groups, the Ova group had lower activated T helper (CD3+CD4+CD28+) than sucrose, however, when pups received ARA+DHA SD, OT effect was absent. ARA and DHA in WD increased DHA status without affecting ARA status in plasma. ARA and DHA provided in SD was beneficial for OT development shown by lowered ova-IgG1, which may be due to higher Tregs and TGFβ produced by splenocytes in brown Norway offspring. NSERC, AGES-ALES (Patel).

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.031
GPT teacher head0.326
Teacher spread0.295 · 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 designBench or experimental
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
Published2021
Admission routes1
Has abstractyes

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