The Effect of Hypothermia on the Expression of the Apoptosis-Regulating Protein Bax After Incomplete Cerebral Ischemia and Reperfusion in Rats
Bibliographic record
Abstract
This study investigated the effects of hypothermia on apoptosis-regulating proteins in a rat model of incomplete cerebral ischemia. Twenty-seven fasted male Sprague-Dawley rats (300-420 g) were anesthetized, intubated, and mechanically ventilated with 2.0% isoflurane and N(2)O/O(2) (FiO(2) = 0.33). Catheters were inserted and cerebral blood flow velocity was measured using bilateral laser Doppler flowmetry. At the end of preparation, the administration of isoflurane was replaced by fentanyl (25 microg. kg(-1). h(-1)). Animals were randomly assigned to one of the following groups: group 1 (n = 9, normothermia), normothermia (37.5 degrees C) during ischemia; group 2 (n = 9, hypothermia), 34 degrees C pericranial temperature during ischemia; and group 3 (n = 9, sham-operated animals), normothermia, no cerebral ischemia. Ischemia (30 minutes) was produced by unilateral common carotid artery occlusion plus hemorrhagic hypotension (mean arterial blood pressure 30-35 mm Hg). Arterial blood gas tensions and pH were maintained constant. Four hours after 30 minutes of incomplete cerebral ischemia, the brains were removed for determination of the expression of the apoptosis-regulating proteins Bax, Bcl-2, p53, and Mdm-2 using immunofluorescence and Western blot analysis. Four hours after cerebral ischemia there was a significant increase in the expression of the pro-apoptotic protein Bax in normothermic animals compared with hypothermic (85-260%) and sham-operated animals (60-190%). The proteins Bcl-2, p53, and Mdm-2 showed no statistically significant differences between the groups or between the hemispheres. In conclusion, hypothermia during ischemia decreased Bax protein expression that is associated with programed cell death. This suggests that neuroprotection seen with hypothermia may be related to a reduction of pro-apoptotic events.
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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) | 0.001 | 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".