Effect of dietary mannoheptulose on whole body glucose and energy metabolism in adult neutered male Labrador Retrievers
Bibliographic record
Abstract
The objective of this study was to determine the effect of dietary mannoheptulose (MH) on glucose and energy metabolism in adult male neutered Labrador Retrievers (N = 6, 5.4 y). This study was designed as a cross‐over with each dog receiving both dietary treatments, control (CON) and MH (200 mg/kg), in random order. Fasting and post‐prandial respiratory quotient (RQ) and energy expenditure (EE) were determined by indirect calorimetry (d 16). Glucose kinetics were assessed during fasting and repeated meal feeding using indirect calorimetry and a primed continuous infusion of U‐13C‐glucose (d 18). A fasting biceps femoris muscle sample was obtained (d 21/22) to determine protein content of phosphorylated and total adenosine monophosphate‐activated protein kinase (AMPK) and acetyl CoA carboxylase (ACC). Diet did not affect plasma glucose, insulin, FFA or glucose turnover during fasting or repeated meal feeding. There were no diet‐related differences in glucose oxidation or energy metabolism in the fed state. However, there were trends for MH to increase RQ (p=0.14) and glucose oxidation (p=0.16) and to lower the ratio of phosphorylated to total AMPK protein content (P=0.08) during fasting. These findings suggest daily MH feeding may affect carbohydrate utilization during fasting. Grant Funding Source : Procter and Gamble Pet Care
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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 | 0.001 |
| 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".