Bioavailability of avocado‐derived mannoheptulose in dogs
Bibliographic record
Abstract
Mannoheptulose (MH) is a 7‐carbon sugar found in avocados and other natural sources that acts to reduce glycolysis via hexokinase inhibition. It has been proposed as a calorie restriction (CR) mimetic that delivers anti‐aging and health‐promoting benefits of CR without reducing food intake. Three studies were conducted to evaluate MH bioavailability when fed to dogs as an avocado extract (AvX) based on MH levels in urine (Study 1) and plasma (Study 2 & 3). In Study 1, Labrador Retrievers (LR; n=15) and Fox Terriers (n=15) were fed AvX‐containing diets formulated to deliver 0, 2 or 5 mg MH/kg BW. All dogs were subjected to 24‐hour quantitative urine collections. A dose‐dependent increase (p<0.05) in urinary MH occurred with increasing dietary MH. In Study 2, LR (n=6) were fed AvX‐containing diets once daily to deliver 0, 1 or 2 mg MH/kg BW. Sequential blood samples were collected before and after feeding through 12 hr and at 24‐hr post‐feeding. Plasma MH increased (P<0.05) with both MH diets compared to control. Peak MH occurred 6–8 hr post‐feeding and returned to non‐detectable levels by 24 hr. In Study 3, similar MH results were observed for LR (n=10) fed AvX‐containing diets twice daily to provide 0 or 2 mg MH/kg BW. Peak MH occurred within 2–4 hr of MH consumption and returned to non‐detectable levels by 24 hr. Mannoheptulose, fed as an avocado extract, is biologically available in dogs based on its appearance in plasma and urine.
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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) | 0.001 | 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".