DIFFERENTIAL NEURONAL AND GLIAL METABOLIC RESPONSE DURING HYPOTHERMIA IN AN EXPERIMENTAL ANIMAL MODEL
Bibliographic record
Abstract
OBJECTIVE: To study the effect of hypothermia on metabolic compartmentalization in an animal model. METHODS: [1-(13)C] glucose, [2-(13)C] glucose, [3-(13)C] lactate, and [2-(13)C] acetate were infused into male Sprague-Dawley rats. The (13)C label was detected using (13)C-edited H magnetic resonance spectroscopy or (13)C magnetic resonance spectroscopy to determine the isotopic enrichment of both glutamate and glutamine. The infusion was carried out at either normothermia (37 degrees C) or hypothermia (31 degrees C). RESULTS: The [1-(13)C] glucose infusion during hypothermia resulted in decreased labeling of glutamate and glutamine consistent with decreased metabolism or the shunting of glucose through the pentose phosphate pathway. Unexpectedly, [2-(13)C] glucose infusion during hypothermia resulted in decreased labeling of glutamate but not glutamine, implying decreased neuronal but unaltered glial metabolism. The lactate and acetate infusion showed no temperature effect on labeling, indicating that the dampened neuronal metabolism occurred during glycolysis. CONCLUSION: The results may explain the mechanism of action of hypothermia by differentially preserving the protective metabolism in glia while selectively dampening neuronal metabolism.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".