Effect of Asperagillus awamori on Alloxan-induced Mouse Hyperglycemia
Bibliographic record
Abstract
Problem statement: Though alloxan-induced mouse hyperglycemia was ameliorated by feeding of 5 % Asperagillus awamori (A. awamori)-fermented burdock root diet (fermented burdock diet), it is unclear whether the anti-hyperglycemia activity is due to A. awamori or antioxidant activity induced by the fermentation.Methods: A 0.05 % A. awamori diet was prepared. Acatalasemic mice, having a quite low catalase activity in blood, were divided three groups, and each group fed control, A. awamori and the fermented burdock diets for 14 weeks, separately. Then, alloxan monohydrate (200 mg/ kg of body weight) was intraperitoneally administrated to each mouse. Glucose, insulin, C-peptide contents in blood and glucose tolerance tests (GTTs) were examined. Results: Incidence of alloxan-induced hyperglycemia in acatalasemic mice maintained with the A. awamori diet or the fermented burdock diet was low (20 or 25%) compared to that (75%) maintained with the control diet. Feeding the A. awamori diet ameliorated insulin, C-peptide in blood and GTT like as mice fed the fermented burdock diet. It indicated that A. awamori in these diets plays an important role for the prevention of alloxan-induced hyperglycemia.Conclusions: It is suggested that A. awamori has the anti-hyperglycemia activity.
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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".