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Record W2170326563 · doi:10.1080/09540100601178623

Immunomodulating effects of egg yolk low lipid peptic digests in a murine model

2007· article· en· W2170326563 on OpenAlexafffund
Ralph Nelson, Shigeru Katayama, Y. Mine, Jairo Duarte, Chantal Matar

Bibliographic record

VenueFood and Agricultural Immunology · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsUniversity of GuelphUniversité de Moncton
FundersAdvanced Foods and Materials Network
KeywordsYolkImmune systemIn vivoSecretionBiologyAntibodyImmunityIn vitroChemistryImmunologyMicrobiologyBiochemistryFood science

Abstract

fetched live from OpenAlex

Abstract There is a close link between nutrition and immunity. Bioactive peptides derived from various protein sources have been demonstrated to exert immunomodulating effects. Those activated sequences may also be found in egg yolk. When administered in vivo to chicken, egg yolk digests prevented bacterial infections. Thus, egg yolk low lipid peptic digests' (EYLLPD) effects were studied in a murine model to elucidate their action's mechanism and immunomodulating capacity. The mucosal immune response was investigated by immunohistochemistry. IL-6 production was evaluated by ELISA. The results show that EYLLPD induces an immune response with an increase in IgA+ cells, while orchestrating the Th1/Th2 response. Furthermore, they reveal a potential role of the epithelium in the effects of EYLLPD at the epithelial surface, as suggested by the increase of the IL-6 secretion by small intestinal epithelial cells (SIEC). In summary, this study shows that EYLLPD enhances mucosal immune responses and that SIEC might have played an important role in preventing the bacterial infection.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.969
Threshold uncertainty score0.262

Codex and Gemma teacher scores by category

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

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 head0.007
GPT teacher head0.195
Teacher spread0.188 · 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 teacher head, 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

Citations37
Published2007
Admission routes2
Has abstractyes

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