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Record W2605879714

Mammary mTOR activity during intravenous glucose infusions into lactating dairy cows

2013· dissertation· en· W2605879714 on OpenAlexfundno aff
R.V. Curtis

Bibliographic record

VenueThe Atrium (University of Guelph) · 2013
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Genetics and Reproduction
Canadian institutionsnot available
FundersOntario Ministry of Agriculture, Food and Rural AffairsDairy Farmers of Canada
KeywordsIntravenous InfusionsMedicineAnimal scienceLactationDairy cattleEndocrinologyInternal medicineBiologyPregnancy
DOInot available

Abstract

fetched live from OpenAlex

The effects of glucose on milk protein yield and mammary mTOR activity were studied in eight multiparous early lactation Holstein cows fed a TMR with 40% NDF content. Treatments were jugular infusions of either physiological saline (SAL) or approximately 900 g/d glucose (GLC) in a cross over design for two 6 d periods during which blood, milk and mammary tissue were sampled. GLC infusion increased plasma insulin but did not significantly increase plasma glucose and only tended to increase milk protein yields. NEAA and BCAA plasma concentrations significantly increased and decreased, respectively, with GLC treatments. Furthermore, reduction of the phosphorylation state of mTOR signalling protein 4EBP1, as well as reduction of total and phosphorylated S6K1 abundances resulted from the infusion of GLC. The expected increase in milk protein synthesis due to glucose infusion was not observed, presumably because protein synthesis was stimulated in muscle tissue rather than the mammary glands.

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: Observational · Consensus signal: none
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)0.0000.000
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 head0.008
GPT teacher head0.213
Teacher spread0.205 · 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 designObservational
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
Published2013
Admission routes1
Has abstractyes

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