Potential Role of Macrophage Colony-Stimulating Factor in the Proliferation of DEL Cells.
Bibliographic record
Abstract
The replication and activation of both vascular smooth muscle cells and macrophages, which have previously entered the arterial wall, are key events in the atherosclerotic process. The importance of macrophage colony-stimulating factor (MCSF) in control of the growth/proliferation of both cell types confers to this compound a central role in the development of vascular lesions. In order to gain insight into the mechanisms of macrophage proliferation, we investigated the effect of MCSF upon the proliferation of DEL cells. DEL cells constitute a monocyte/histiocytic cell line that differentiates along a macrophage lineage following exposure to phorbol ester. DEL cells constitutively express MCSF, and its receptor MCSFR is encoded by c-fms. We examined whether MCSF might play a role in the proliferation of cultured DEL cells. [3H]Thymidine or 5-bromo-2-deoxyuridine (BrdU) incorporation was measured following the addition of recombinant MCSF or L929 cell supernatant (as a source of MCSF) to quiescent DEL cells. In DEL cells, serum-free L929 cell supernatant induced DNA synthesis in a dose-dependent manner, and such an effect could be blunted by pretreatment of L929 cell supernatant with anti-mouse MCSF antibody. In these cells, DNA synthesis could also be triggered in a dose-dependent manner by the addition of recombinant human MCSF (rh MCSF) or thrombin. These findings clearly show that MCSF influences DEL cell proliferation and suggest an autocrine loop activation. They indicate that MCSF plays an important role in the development of vascular lesions, which occur during atherosclerotic progression.
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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) | 0.001 | 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".