Effects of fasting and refeeding on metabolic processes in the crab<i>Chasmagnathus granulata</i>(Dana, 1851)
Bibliographic record
Abstract
We assessed the effects of 3 weeks of fasting and 48 h of refeeding on the incorporation of [14C]-labeled substrate into glucose, glycogen, lipid, and protein in hepatopancreas, muscle, and gills from the crab Chasmagnathus granulata. Fasting did not change the rate of glycogen and lipid synthesis in the three tissues. Neither fasting nor refeeding affected hemolymph glucose levels. Refeeding induced a reduction in glycogen synthesis in gills, but did not affect glycogen synthesis in hepatopancreas and muscle. Fasting did not affect lipogenesis in hepatopancreas, but refeeding elevated [14C]-lipid twofold. Muscle lipogenesis was not affected by fasting or refeeding. Gluconeogenesis in the three tissues was not modified by fasting. Refeeding induced an increase in the glucose-synthesis capacity only in muscle. Fasting did not affect glyconeogenesis in hepatopancreas and gills, but induced a reduction in glycogen synthesis in muscle. Muscle-protein synthesis was not affected by fasting; however, refeeding induced a reduction in [14C]-protein. Our data show that C. granulata is a fasting-adapted animal which is able to maintain metabolic homeostasis, and that following refeeding there is an adjustment of anabolic-synthesis processes to recover metabolic reserves that were lost during fasting.
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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".