162 Differential Late Gestation Metabolizable Energy Intake Alters Adipose-Specific Insulin Responsiveness in Antepartum Beef Cattle
Bibliographic record
Abstract
Abstract We evaluated how metabolizable energy (ME) intake influences antepartum insulin sensitivity in beef cattle. Angus-Simmental cattle (primiparous: n = 17; multiparous: n = 21) were randomly assigned to treatments supplying 80 (LowME, n = 19) or 120% (HighME, n = 19) of predicted ME requirements for 53 d prepartum. At 7 d antepartum, intravenous glucose tolerance tests (IVGTT) were imposed by infusing 1.36 g glucose/kg BW0.75 and sampling from -3 to 90 min to measure plasma glucose and insulin and serum non-esterified fatty acids (NEFA) concentrations. Data were analyzed using PROC GLIMMIX with the fixed effects of treatment, parity, time (repeated), and treatment×time and considering cow(treatment) as random. Baseline glucose concentration increased (P = 0.03) and baseline insulin concentration tended to increase (P = 0.06) for HighME relative to LowME cattle irrespective (P ≥ 0.33) of parity, whereas baseline NEFA concentration was elevated (P < 0.01) for LowME vs. HighME. Plasma glucose-insulin concentrations during the IVGTT did not differ (P ≥ 0.25) by treatment, treatment×time, or parity. However, serum NEFA was elevated (P < 0.01) throughout the IVGTT for LowME vs. HighME cattle and tended to be affected (P = 0.09) by the treatment×time interaction as NEFA concentrations became similar at 90 min due to HighME cattle having a shallower (treatment×time: P < 0.01) decremental NEFA response than LowME cattle. Low ME cattle cleared NEFA more quickly (75% increase; P < 0.01) than HighME. The glucose positive incremental area-under-the-curve throughout the IVGTT tended to be lesser (P = 0.06) for heifers than cows but heifers had a blunted (P ≤ 0.05) glucose-stimulated reduction in NEFA and NEFA clearance rate compared to cows. These data demonstrate that ME provision may alter adipose insulin responsiveness in antepartum beef cattle and that heifers respond to excess glucose and NEFA differently than cows.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".