Anti-cholelithogenic effect of dietary tender cluster beans (<i>Cyamopsis tetragonoloba</i>) on the formation of cholesterol gallstones in mice
Bibliographic record
Abstract
Providing a lithogenic diet that contains 0.5% cholesterol to experimental mice for 10 weeks resulted in cholesterol supersaturation in gallbladder bile, which induced the formation of cholesterol gallstones. In this study, to evaluate the anti-cholelithogenic potential of dietary tender cluster bean, a freeze-dried powder of the test legume was included in the lithogenic diet at 5%, 10%, and 15%. Dietary cluster beans reduced the cholesterol gallstone incidence by 43%, 46%, and 58% at the respective doses. Dietary cluster beans markedly reduced biliary cholesterol and, hence, the cholesterol saturation index. This was corroborated by the beneficial modification of the cholesterol/phospholipid ratio and the cholesterol/bile acid ratio in the bile. Dietary cluster beans countered the alterations in serum and liver cholesterol and lipid profiles caused by the lithogenic diet. Thus, dietary tender cluster beans exerted an anti-cholelithogenic influence by decreasing cholesterol hypersecretion into bile and, hence, the cholesterol saturation index, decreasing the formation of lithogenic bile in experimental mice.
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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".