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Record W1989992024 · doi:10.3136/nskkk.56.475

Natural Antibodies to Pathogenic Bacteria and their Toxins in Whey Protein Concentrate

2009· article· en· W1989992024 on OpenAlexaff
Yoshiko Kijima, Satoshi Iwatsuki, Hirohisa Akamatsu, Kuniaki Terato, Yoshihiro Kuwabara, SHIGEKO UEDA, Hiroshi Shionoya

Bibliographic record

VenueNippon Shokuhin Kagaku Kogaku Kaishi · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEscherichia coli research studies
Canadian institutionsExtendicare (Canada)
Fundersnot available
KeywordsWhey proteinFood scienceBacteriaAntibodyChemistryPathogenic bacteriaMicrobiologyBiologyImmunology

Abstract

fetched live from OpenAlex

ウシ生乳に含まれる抗体の有効利用を目的として,乳清(ホエー)のタンパク部分を濃縮して得られた乳清タンパク濃縮物(WPC)に含まれる抗体量およびその特異性を調べた.ヒト由来病原菌33種とエンドトキシン,エンテロトキシン,lipid Aなど5つの細菌毒素を指標に抗体の検出と定量を試みた.その結果,33種の細菌と5種の細菌毒素全てに対する抗体が検出された.このことは,今回の抗体検索に用いなかった細菌や毒素に対する抗体も含まれる可能性を示唆した.また,細菌菌体による吸収試験から,WPCには複数の細菌に対して広範に反応し得る抗体が含まれることが明らかとなった.以上,ウシの乳に含まれる抗体を利用するに当たり,ウシに病原微生物による免疫を施さなくても,WPC中にはヒト病原菌に対する抗体が含まれることを示した.しかし,WPC中の総IgG含有量は必ずしも個々のヒト病原菌に対する抗体量とは相関しなかったことから,ヒトの健康への寄与を意図してWPCを使用するためには,目的とする細菌や毒素に対する個別の抗体量を把握することが重要と考えられた.

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 categoriesMeta-epidemiology (narrow)
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 score0.507
Threshold uncertainty score1.000

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 head0.010
GPT teacher head0.267
Teacher spread0.256 · 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.

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

Citations5
Published2009
Admission routes1
Has abstractyes

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