The effects of Xingnaojing injection on Caveolin-1 in cortex of brain after global ischemia-reperfusion
Bibliographic record
Abstract
Objective To study the impact of Xingnaojing (XNJ) injection (a preparation of Chinese herb medicine) on the permeability of blood-brain barrier and Caveolin-1 in cortex of brain after global ischemia-reperfusion. Methods Modified Pulsinelli method for four-vessel occlusion was employed to establish the global ischemia reperfusion model in rats. Male Wistar rats were randomly (random number) divided into three groups, namely sham group, model group and XNJ group. Each group was observed at 24 h, 48 h and 72 h after ischemia reperfusion. The water content of brain tissue was determined by dry/wet weight ratio, while the Evans blue (EB) concentration in brain tissue was detected by spectrophotometer. Western blot was used to detect caveolin-1 level in the cerebral cortex. Results The water contents of brain tissue in model group and XNJ group were significantly higher than that in sham group 24 hour after ischemia-reperfusion (P <0.05) . But at 48 h and 72 h after ischemia-reperfusion, the brain water content in model group was significantly higher than that in XNJ group and sham group (P <0.05) . The EB concentrations in brain tissue in model group and XNJ group were higher than that in sham group 24 h after ischemia-reperfusion (P <0.05) . EB levels in sham group and XNJ group were significantly lower than that in model group 48 h and 72 h after ischemia-reperfusion (P <0.05) . Caveolin-1 levels in cerebral cortex in sham group and XNJ group were significantly higher than that in model group 24 h, 48 h and 72 h after ischemia-reperfusion (P <0.05) . Conclusions After global ischemia-reperfusion, Xingnaojing (XNJ) injection could protect blood-brain barrier in virtue of regulating caveolin-1 protein level. Key words: Xingnaojing injection; Cerebral ischemia hypoxia; Brain; Blood-brain barrie; Caveolin-1; Brain edema
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".