GM-CSF regulates intimal cell proliferation in nascent atherosclerotic lesions
Bibliographic record
Abstract
The contribution of intimal cell proliferation to the formation of early atherosclerotic lesions is poorly understood. We combined 5-bromo-2'-deoxyuridine pulse labeling with sensitive en face immunoconfocal microscopy analysis, and quantified intimal cell proliferation and Ly-6C(high) monocyte recruitment in low density lipoprotein receptor-null mice. Cell proliferation begins in nascent lesions preferentially at their periphery, and proliferating cells accumulate in lesions over time. Although intimal cell proliferation increases in parallel to monocyte recruitment as lesions grow, proliferation continues when monocyte recruitment is inhibited. The majority of proliferating intimal cells are dendritic cells expressing CD11c and major histocompatibility complex class II and 33D1, but not CD11b. Systemic injection of granulocyte/macrophage colony-stimulating factor (GM-CSF) markedly increased cell proliferation in early lesions, whereas function-blocking anti-GM-CSF antibody inhibited proliferation. These findings establish GM-CSF as a key regulator of intimal cell proliferation in lesions, and demonstrate that both proliferation and monocyte recruitment contribute to the inception of atherosclerosis.
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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) | 0.000 | 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 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".