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Record W2081617053 · doi:10.3177/jnsv.54.191

Royal Jelly Peptides Inhibit Lipid Peroxidation In Vitro and In Vivo

2008· article· en· W2081617053 on OpenAlexaff
Hang Guo, Ai EKUSA, Koji Iwai, Masami Yonekura, Yoshihisa Takahata, Fumiki Morimatsu

Bibliographic record

VenueJournal of Nutritional Science and Vitaminology · 2008
Typearticle
Languageen
FieldMedicine
TopicBiochemical effects in animals
Canadian institutionsConestoga Meat Packers (Canada)
Fundersnot available
KeywordsIn vivoChemistryLipid peroxidationAntioxidantIn vitroBiochemistryHydrolysateFerricEndocrinologyBiologyOrganic chemistry

Abstract

fetched live from OpenAlex

Royal jelly peptides (RJPx) isolated from hydrolysates of water-soluble royal jelly proteins prepared with protease P exhibited significantly stronger hydroxyl radical-scavenging activity (p<0.001), and antioxidant activity against lipid peroxidation (LPO, p<0.001), than did water-soluble royal jelly protein (WSRJP) in vitro. We also investigated the in vivo antioxidant activity of RJPx against ferric nitrilotriacetate (Fe-NTA)-induced LPO. Male Wistar rats were divided into a control group (Group C), an Fe-NTA group (Group Fe), and an Fe-NTA with RJPx group (Group Fe+R). Rats in Group Fe+R were fed RJPx (2 g/kg body weight) daily for 5 wk. Fe-NTA (8 mg Fe/kg body weight) was then intraperitoneally injected, and serum lipid levels were examined 2 h later. Serum total cholesterol (TC) levels were lower (p<0.05) while low-density lipoprotein (LDL) and LPO were significantly higher (p<0.01) in Group Fe than in Group C. TC (p<0.05) and LPO levels (p<0.01) were lower in Group Fe+R than in Group Fe. Our data suggest that RJPx may inhibit LPO both in vitro and in vivo.

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 score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0010.000

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 head0.020
GPT teacher head0.273
Teacher spread0.253 · 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

Citations94
Published2008
Admission routes1
Has abstractyes

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