Bile Acid Metabolites Enhance Molting Response and Improve Energy Metabolism in <i>Scylla paramamosain</i> via Cooperative Regulation of Cerebral Ganglia and Hepatopancreas
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Three diet formulations containing 0%, 0.02%, and 0.04% bile acids were fed to the mud crabs ( Scylla paramamosain ) during an eight-week period. Dietary bile acid supplementation was found to significantly improve percentage weight gain in crabs. Interestingly, the molting rate of crabs significantly increased upon dietary supplementation with 0.04% bile acids. The levels of molting hormone in the serum and the expression of molting-related genes in the hepatopancreas were elevated in the bile acid-supplemented group. The group supplemented with 0.04% bile acid showed increased content of ATP in the hepatopancreas as well as increased expression of genes associated with energy metabolism in the hepatopancreas and cerebral ganglion. The levels of 7-ketolithocholic acid (7-ketoLCA) and taurolithocholic acid sodium salt (TLCA) were significantly higher in the hepatopancreas of the bile acid-supplemented group. In conclusion, dietary supplementation with 0.02–0.04% bile acids enhanced molting, promoted bile acid recycling, and improved energy metabolism in mud crabs.
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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".