Ophiopogonin D protects against cerebral ischemia–reperfusion injury in rats by inhibiting STAT3 phosphorylation
Bibliographic record
Abstract
Our aim is to explore the protective effect of ophiopogonin D (OPD) on cerebral ischemia/reperfusion injury (CIRI) and its relevant molecular mechanisms. OPD effect on brain injury of CIRI rats was evaluated using 2,3,5-triphenyltetrazolium chloride staining, neurological deficit score, brain water content, hematoxylin and eosin staining, Nissl staining, and terminal deoxynucleotidyl transferase-mediated dUTP nick-end labelling staining. Immunofluorescence, immunohistochemistry, qRT-PCR, Western blot, and relative kits were used for detecting inflammatory factors, oxidative stress related factors, and mRNA and protein levels. The Cell Counting Kit-8 assay and flow cytometry were applied for assessing the viability and apoptosis of oxygen-glucose deprivation)/reoxygenation (OGD/R)-induced PC12 cells. OPD ameliorated brain injury via inhibiting neurons apoptosis, oxidative stress, and inflammatory response in cerebral infarction rats. In addition, we found that OPD attenuated the apoptosis, oxidative stress and inflammatory response in OGD/R-induced PC12 cells. Both in CIRI rats and OGD/R-induced PC12 cells, OPD was demonstrated to inhibit signal transducer and activator of transcription 3 (STAT3) phosphorylation. Moreover, Colivelin TFA (a STAT3 activator) reversed OPD effect on the apoptosis, oxidative stress, and inflammatory response in OGD/R-induced PC12 cells. Our findings demonstrated that OPD could protect against CIRI in rats by inhibiting STAT3 phosphorylation.
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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 | 0.001 | 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".