Schisandrin B ameliorates high-glucose-induced vascular endothelial cells injury by regulating the Noxa/Hsp27/NF-κB signaling pathway
Bibliographic record
Abstract
BACKGROUND: To address the molecular mechanism of the anti-inflammation effects of schisandrin B (Sch B) in atherosclerosis, we examined injured HMEC-1, HBMEC, and HUVEC-12 cells induced by high glucose (HG). METHODS: Western blot was performed to detect the levels of the proteins Hsp27, Noxa, TLR5, p-IκBα, and p-p65 in HG-induced cells, while ELISA was used to analyze the inflammatory cytokines TNF-α, IL-6, MCP-1, and IL-1β in cells with Hsp27 or Noxa stable expression. RESULTS: Overexpression of Hsp27 upregulated the inflammatory cytokines and the release of IκBα, promoted transportation of p65 into the nucleus, and lastly, affected the inflammation process, while Sch B counteracted the upregulation. In addition, the effect of Noxa overexpression, which is different from Hsp27 overexpression, was consistent with that of Sch B treatment. CONCLUSIONS: Sch B may inhibit the inflammatory cascade and alleviate the injury to HMEC-1, HBMEC, and HUEVC-12 cells caused by HG by regulating the Noxa/Hsp27/NF-κB signaling pathway.
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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".