The Impact of Ly6C <sup>low</sup> Monocytes after Cerebral Hypoxia-Ischemia in Adult Mice
Bibliographic record
Abstract
After an ischemic stroke, mononuclear phagocytic cells such as microglia, macrophages, and monocytes migrate to the lesion site and coordinate an immune response. Monocytes, which are recruited from the bloodstream after ischemic brain injury, can be categorized into two subsets in mice: inflammatory and patrolling monocytes. Although inflammatory monocytes (Ly6C(hi)) seem to have a protective role in stroke progression, the impact of patrolling monocytes (Ly6C(low)) is unknown. To address the role of Ly6C(low) monocytes in stroke, we generated bone marrow chimeric mice in which their hematopoietic system was replaced by Nr4a1(-/-) cells, allowing the complete and permanent ablation of Ly6C(low) monocytes without affecting the Ly6C(hi) subset. We then subjected adult mice to cerebral hypoxia-ischemia using the Levine/Vannucci model. Functional outcomes after stroke such as body weight change, neurologic score, motor functions and spatial learning were not affected. Moreover, depletion in Ly6C(low) monocytes did not change significantly the total infarct size, cell loss, atrophy, the number, or the activation state of microglia/macrophages at the lesion site. These data suggest that Ly6C(low) patrolling monocytes are redundant in the progression and recovery of ischemic stroke.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".