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Record W4405488575 · doi:10.1016/j.jff.2024.106633

Egg yolk hydrolysate shows osteogenic activity in MC3T3-E1 osteoblastic cells

2024· article· en· W4405488575 on OpenAlexaff
Ilekuttige Priyan Shanura Fernando, Pauline Duffuler

Bibliographic record

VenueJournal of Functional Foods · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Hydrolysis and Bioactive Peptides
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHydrolysateYolkChemistryCell biologyFood scienceBiochemistryInternal medicineBiologyHydrolysisMedicine

Abstract

fetched live from OpenAlex

There is growing interest in natural bioactive compounds for bone health, with egg yolk peptides showing promise owing to their osteogenic properties. However, previously reported extraction and purification methods are costly and time-consuming. This study explored the osteogenic properties of water-soluble egg yolk peptide fractions obtained using methods that are easily scalable for industrial production. Three different fractions were prepared: FA, water-soluble egg yolk fraction; FB, salt-soluble egg yolk fraction; FC, salt-soluble hydrolyzed egg yolk fraction. Effects of fractions were evaluated on osteoblastogenesis. FC, obtained via Protease M and Lipase AY digestion, stood out compared to FA and FB, demonstrating improved MC3T3-El proliferation, RUNX2 production, Akt phosphorylation, and osteoid mineralization . FC contains phosvitin and vitellogenin . The <3 kDa subfraction of FC obtained by ultrafiltration indicated a higher osteogenic potential in MC3T3-E1 preosteoblasts. These findings indicate that the egg yolk hydrolysate obtained by the FC method could be a promising source for formulating functional foods that enhance bone health.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.623

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.013
GPT teacher head0.244
Teacher spread0.231 · 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

Citations6
Published2024
Admission routes1
Has abstractyes

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