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Record W2004365886 · doi:10.3168/jds.2010-3860

Perturbations of plasma metabolites correlated with the rise of rumen endotoxin in dairy cows fed diets rich in easily degradable carbohydrates

2011· article· en· W2004365886 on OpenAlexafffund
Qendrim Zebeli, S.M. Dunn, Burim N. Ametaj

Bibliographic record

VenueJournal of Dairy Science · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsUniversity of Alberta
FundersUniversity of AlbertaNatural Sciences and Engineering Research Council of CanadaCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorAlberta Crop Industry Development Fund
KeywordsRumenNEFALatin squareDry matterAnimal scienceChemistryTotal mixed rationDairy cattleBlood plasmaBiologyFood scienceLactationBiochemistryIce calvingFatty acidFermentation

Abstract

fetched live from OpenAlex

Feeding dairy cows diets high in easily degradable carbohydrates increases the incidence of rumen and systemic metabolic disorders; however, the triggering factor is not well understood. In this study, dairy cows were fed 4 different amounts of barley grain-based concentrate at 15, 30, 45, and 60% (dry matter basis) of a total mixed ration to determine whether alterations in the rumen environment would be associated with perturbations of the plasma profile of selected metabolites. In addition, associations among free rumen endotoxin and several plasma metabolites were determined. The study was a replicated 4 × 4 Latin square design with 8 rumen-cannulated lactating dairy cows (60 ± 15 d in milk). Multiple rumen fluid and blood plasma samples were collected and analyzed for pH and rumen fluid endotoxin and for concentrations of glucose, insulin, cholesterol, β-hydroxybutyrate (BHBA), nonesterified fatty acids (NEFA), and lactate in the plasma. Rumen pH decreased below 6.0, from 8 to 12h after the morning feeding, with the augmentation of the proportion of concentrate in the diet of ≥ 30%. Feeding diets with >30% concentrate resulted in a rise of free endotoxin in the rumen fluid (8.87 ± 0.39 μg/mL). Inclusion of 60% concentrate in the total mixed ration was associated with enhanced concentrations of glucose (64.5 ± 1.0 mg/dL) and lactate (540.9 ± 36.5 μmol/L) and lowered cholesterol (265.5 ± 13.7 mg/dL), BHBA (449.1 ± 47.4 μmol/L), and NEFA (138.8 ± 19.1 μEq/L) in the blood plasma. The regression analysis revealed that greater concentrations of plasma lactate and lower concentrations of cholesterol, BHBA, and NEFA were related to the rise of rumen endotoxin. Interestingly, 93% of the increase in the plasma lactate was explained by the rise of rumen endotoxin. Moreover, the analysis revealed inverse relationships of rumen endotoxin with plasma cholesterol (R(2)=0.47), BHBA (R(2)=0.37), and NEFA (R(2)=0.50) and a biphasic response of plasma insulin (R(2)=0.58). Taken together, feeding dairy cows diets rich in rumen-degradable carbohydrates and low in fiber led to lower rumen pH and a large accumulation of rumen endotoxin; the latter was correlated with perturbations of plasma metabolites allied to carbohydrate and lipid metabolism.

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 score0.002

Distilled classifier scores by category (both heads)

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 communication0.0010.000
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 head0.026
GPT teacher head0.225
Teacher spread0.199 · 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

Citations56
Published2011
Admission routes2
Has abstractyes

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