Schaftoside ameliorates oxygen glucose deprivation-induced inflammation associated with the TLR4/Myd88/Drp1-related mitochondrial fission in BV2 microglia cells
Bibliographic record
Abstract
BACKGROUND: Neuroinflammation plays a major role in the development of ischemic stroke, and regulation of the proinflammatory TLR4 signaling pathway in microglia stands to be a promising therapeutic strategy for stroke intervention. Recently, the homeostasis of mitochondrial dynamics has also been raised as a vital component in maintaining neuronal health, but its relevance in microglia hasn't been investigated. Schaftoside, a natural flavonoid compound and a promising treatment for inflammation, has demonstrated potency against LPS-induced lung inflammation in mice; however, its action on TLR4-induced neuroinflammation and mitochondrial dynamics in microglia is still unknown. METHODS: The effects of schaftoside in regulating inflammation and mitochondrial dynamics were investigated in vitro in oxygen glucose deprivation (OGD)-stimulated BV2 microglia cells. RESULTS: Schaftoside inhibited mRNA and protein expressions of proinflammatory cytokines (IL-1β, TNF-α, and IL-6) after 4 h in OGD-stimulated BV2 microglia cells, similar to the effect of TAK242, an inhibitor of TLR4. TLR4/Myd88 signaling pathway was effectively suppressed by schaftoside. In addition, both schaftoside and TAK242 treatments significantly decreased Drp1 expression, phosphorylation, translocation and mitochondrial fission in OGD-stimulated BV2 cells. CONCLUSIONS: Our study suggested that schaftoside was able to reduce neuroinflammation, which is mediated in part by reducing TLR4/Myd88/Drp1-related mitochondrial fission in BV2 microglia cells.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 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".