Neutrophil Mobilization Triggers Microglial Functional Change to Exacerbate Cerebral Ischemia‐Reperfusion Injury
Bibliographic record
Abstract
Acute ischemic stroke is a leading cause of mortality and disability worldwide. Neuroinflammation following ischemia-reperfusion plays a critical role in the disease's pathogenesis. Neutrophil aggregation and clearance within the brain parenchyma influence neuroinflammatory damage during ischemic stroke. Microglia-mediated phagocytosis plays a pivotal role in mitigating neuroinflammation and promoting brain parenchyma recovery. However, the mechanisms underlying the cross-talk between neutrophils and microglia remain poorly understood. Here, this study demonstrates that neutrophils can trigger microglial functional change to inhibit microglial phagocytosis and promote pyroptosis, which is regulated by neutrophil-derived myeloid-related protein 14. Additionally, interleukin-1β released by pyroptotic microglia further upregulates myeloid-related protein 14 expression and facilitates neutrophil mobilization from the bone marrow, establishing a self-sustaining inflammatory loop. Therefore, neutrophils accumulate in the brain parenchyma and further exacerbate microglial neuroinflammation in the ischemic brain. These findings reveal a previously unknown interaction between neutrophils and microglia after acute ischemic stroke and suggest that targeting myeloid-related protein 14 may provide a novel therapeutic strategy for ischemic stroke therapy.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".