<i>Apocynum venetum</i> leaf extract protects rat cortical neurons from injury induced by oxygen and glucose deprivation in vitro
Bibliographic record
Abstract
This study aimed to investigate the protective effect of Apocynum venetum leaf extract (AVLE) on an in vitro model of ischemia-reperfusion induced by oxygen and glucose deprivation (OGD) and further explored the possible mechanisms underlying protection. Cell injury was assessed by morphological examination using phase-contrast microscopy and quantified by measuring the amount of lactate dehydrogenase (LDH) leakage; cell viability was measured by XTT reduction. Neuronal apoptosis was determined by flow cytometry, and electron microscopy was used to study morphological changes of neurons. Caspase-3, -8, and -9 activation and Bcl-2/Bax protein expression were determined by Western blot analysis. We report that treatment with AVLE (5 and 50 µg/mL) effectively reduced neuronal cell death and relieved cell injury induced by OGD. Moreover, AVLE decreased the percentage of apoptotic neurons, relieved neuronal morphological damage, suppressed overexpression of active caspase-3 and -8 and Bax, and inhibited the reduction of Bcl-2 expression. These findings indicate that AVLE protects against OGD-induced injury by inhibiting apoptosis in rat cortical neurons by down-regulating caspase-3 activation and modulating the Bcl-2/Bax ratio.
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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".