Glutamate dehydrogenase from liver of euthermic and hibernating Richardson's ground squirrels: Evidence for two distinct enzyme forms
Bibliographic record
Abstract
Glutamate dehydrogenase (GDH) was purified to homogeneity from the liver of euthermic (37°C body temperature) and hibernating (torpid, 5°C body temperature) Richardson's ground squirrels (Spermophilus richardsonii). SDS-PAGE yielded a subunit molecular weight of 59.5 ± 2 kDa for both enzymes, but reverse phase and size exclusion HPLC showed native molecular weights of 335 ± 5 kDa for euthermic and 320 ± 5 kDa for hibernator GDH. Euthermic and hibernator GDH differed substantially in apparent Km values for glutamate, NH4+, and α-ketoglutarate, as well as in Ka and IC50 values for nucleotide and ion activators and inhibitors. Kinetic properties of each enzyme were differentially affected by assay temperature (37 versus 5°C). For example, the Km for α-ketoglutarate of euthermic GDH was higher at 5°C (3.66 ± 0.34 mM) than at 37°C (0.10 ± 0.01 mM), whereas hibernator GDH had a higher affinity for α-ketoglutarate at 5°C (Km was 0.98 ± 0.08 mM at 37°C and 0.43 ± 0.02 mM at 5°C). Temperature effects on Ka ADP values of the enzymes followed a similar pattern; GTP inhibition was strongest with the euthermic enzyme at 37°C and weakest with hibernator GDH at 5°C. Entry into hibernation leads to stable changes in the properties of ground squirrel liver GDH that allow the enzyme to function optimally at the prevailing body temperature.Key words: mammalian hibernation, amino acid metabolism, temperature-dependent enzyme kinetics, Spermophilus richardsonii.
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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".