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Record W4402540852 · doi:10.1093/jas/skae234.658

PSVIII-2 Effects of post-ruminal yeast cell wall extract on dry matter intake, gastrointestinal fermentation and permeability, and concentrations of white blood cell types in beef heifers exposed to feed restriction

2024· article· en· W4402540852 on OpenAlexaff
Wyatt D Armes, Clothilde Villot, Eric Chevaux, Philip Griebel, Natacha Hogan, T. Mutsvangwa, G.B. Penner

Bibliographic record

VenueJournal of Animal Science · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsDry matterFermentationYeastRumenFood scienceWhite blood cellAnimal scienceBiologyChemistryBiochemistryImmunology

Abstract

fetched live from OpenAlex

Abstract The objective of this study was to evaluate whether post-ruminal provision of a yeast cell wall extract (YCW) affected gastrointestinal fermentation characteristics and permeability, and white blood cell concentrations for heifers exposed to feed restriction (FR). Ruminally cannulated beef heifers (n = 8) were used in a 2 × 2 crossover design. Treatments (TRT) included an abomasal infusion of a placebo (PLC; maltodextrin) or YCW derived from Saccharomyces cerevisiae (2 g/dose) infused at 0600 and 1800 h. Heifers were subject to a 5-d baseline period followed by 5 d of FR where dry matter intake (DMI) was restricted to 30% of ad libitum intake. Data collection included daily DMI, and rumen, fecal and blood samples. Total gastrointestinal and post-ruminal permeability were measured using a ruminal dose of Cr-EDTA and an abomasal dose of Co-EDTA during the baseline and FR phases. Data were analyzed to determine the effects of YCW provision and phase, and the 2-way interaction. There were no TRT or TRT × phase interactions except for fecal propionate concentration. By design, DMI during FR was 30% (P < 0.01) of that observed during baseline (4.1 vs. 13.4 kg/d, respectively). The ruminal concentrations of acetate (45.4 vs. 69.2 mmol/L), propionate (14.5 vs. 26.7 mmol/L), and butyrate (9.9 vs. 16.5 mmol/L) were reduced (P < 0.01) by 34, 46, and 52%, respectively, with FR relative to baseline. Fecal propionate concentration (interaction, P = 0.04) numerically increased (P = 0.12) from baseline to FR for PLC (7.7 vs. 9.6 mmol/L, respectively), while YCW did not change among phases; however, no means differed. Exposure to FR reduced fecal butyrate concentration by 28% (P = 0.03). Gastrointestinal tract permeability (P < 0.01; 2.3 and 2.5% for total and post-ruminal, respectively) was greater during FR compared with baseline, with 2.0% of the Cr-EDTA and 1.6% of the Co-EDTA excreted in urine. The concentrations of neutrophils (P = 0.03) and eosinophils (P < 0.01) were greater during FR relative to baseline (2.28, 1.27 and 0.53, 0.30 ×106 cells/mL, respectively). Exposure to FR altered ruminal SCFA concentrations, increased blood concentrations of neutrophils and eosinophils, and increased gastrointestinal permeability suggesting an inflammatory response; however, post-ruminal provision of a YCW did not mitigate the response to a feed restriction challenge.

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 score0.002
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 head0.012
GPT teacher head0.237
Teacher spread0.225 · 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
Published2024
Admission routes1
Has abstractyes

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