Bibliographic record
Abstract
Neuroinflammation is involved in the pathogenesis of many neurodegenerative diseases, including Parkinson's Disease, primarily resulting from microglial activation.Microglia are the primary phagocytic cells of the central nervous system, and their activation play a significant role in neuroinflammation.Microglial activation and the changes in their morphological appearance depend on the actin cytoskeleton reorganization.WASP family Verprolin-homologous protein-2 (WAVE2), a member of Wiskott Aldrich's Syndrome Proteins, is a primary regulator of actin cytoskeleton.WAVE2 primarily expresses in immune cells and has an important role in cytoskeleton reorganization, which is a crucial process for cell motility and formation of various cellular processes.This study is aimed to test the effect of WAVE2 inhibition on inflammatory phenotype of BV-2 microglial cells.We have shown that lipopolysaccharides (LPS) stimulation significantly upregulates oxidative stress and nuclear factor kappa-B (NF-kB) signaling, and cause changes in appearance of BV-2 microglial cells.Knocking down WAVE2 with the help of adenoassociated virus vector does not block these outcomes.These data suggest that the inflammatory phenotype of microglial cells may not be primarily dependent on WAVE2 signaling.
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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) | 0.003 | 0.001 |
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".