Suppression of LPS-induced inflammatory responses by inflexanin B in BV2 microglial cells
Bibliographic record
Abstract
Microglia are a type of resident macrophage that functions as an inflammation modulator in the central nervous system. Over-activation of microglia by a range of stimuli disrupts the physiological homeostasis of the brain, and induces inflammatory response and degenerative processes, such as those implicated in neurodegenerative diseases, including Alzheimer's disease and Parkinson's disease. Therefore, we investigated the possible anti-inflammatory mechanisms of inflexanin B in murine microglial BV2 cells. Lipopolysaccharide (LPS) activated BV2 cells and induced the production of pro-inflammatory mediators such as nitric oxide (NO), prostaglandin E2 (PGE2), and cytokines (interleukins-1β and -6, and tumour necrosis factor α). The LPS-induced production of pro-inflammatory mediators was associated with the enhancement of nuclear factor-kappaB (NF-κB) nuclear translocation and the activation of mitogen-activated protein kinase (MAPK) including ERK1/2 and JNK. Conversely, pretreatment of cells with inflexanin B (10 and 20 μg/mL) significantly reduced the production of pro-inflammatory mediators. This was accompanied with the reduced nuclear translocation of NF-κB and reduced activation of MAPKs. These results suggest that inflexanin B attenuated the LPS-induced inflammatory process by inhibiting the activation of NF-κB and MAPKs.
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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 | 0.000 | 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 | 0.001 |
| 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".