Regulation of Lactate Dehydrogenase and Glycerol-3-Phosphate Dehydrogenase in Mammalian Hibernation
Bibliographic record
Abstract
Hibernation is a winter survival strategy for many small mammals.Animals sink into deep torpor, body temperature falls to near 0°C and physiological functions are strongly suppressed.Enzymes are the catalysts of metabolic pathways in cells and their appropriate control is critical to hibernation success.This thesis explores the properties and regulation of two key enzymes of carbohydrate metabolism (lactate dehydrogenase, LDH) and lipid metabolism (glycerol-3-phosphate dehydrogenase, G3PDH) purified from liver and skeletal muscle of ground squirrels (Urocitellus richardsonii).The studies showed that changes in pH, temperature, and inhibitors play roles in differentially regulating these enzymes between euthermic and torpid states.Furthermore, reversible protein phosphorylation proved to be a significant regulatory mechanism, producing a reduced activity state of skeletal muscle LDH and increased activity state of G3PDH in both skeletal muscle and liver during torpor.Overall, these studies showed that multiple mechanisms of enzyme regulation, particularly protein phosphorylation, contribute to reorganizing fuel metabolism during hibernation.
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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".