Abstract 444: Semaphorin3A Reduces Atherosclerotic Plaque Formation in ApoE Knock Out Mice Through Regulation of M2 Type Macrophage Migration
Bibliographic record
Abstract
Objective: Recent data point to an important immunomodulatory role for neural guidance molecules, including semaphorin 3a (Sema-3A), in inflammatory diseases. Sema-3A is a secreted member of the Sema family and is produced by several immune cells including macrophages. We found that Sema-3A receptors are expressed in macrophages and in atherosclerotic plaques. Approach and results: To investigate the role of Sema-3A in atherosclerosis, ApoE-/- mice were administered with a Sema-3A overexpressing or a control plasmid and were fed a high fat diet for 9 weeks. Sema-3A receptors were expressed in macrophages and atherosclerotic plaques. Our results show that Sema-3A overexpressing mice had significantly smaller atherosclerotic plaques than control mice in the aortic sinus (0.3±0.02 vs. 0.4±0.03 mm 2 ), the brachiocephalic artery (0.04±0.01 vs. 0.1±0.01 mm 2 ) and the aorta (9.5±1.4 vs 15.3±2.9%), assessed by oil red O staining. No differences were observed in plaque stability, measured by collagen and smooth muscle cell alpha-actin staining. However, there was significantly less (2-fold) macrophage content in the plaques of Sema-3A compared to control mice, associated with decreased circulating monocytes determined by flow cytometry as cd11b positive and Gr-1 negative cells (4.97±0.74 vs. 7.2±0.62%). To better define the involved mechanisms, we investigated macrophage function In vitro and found that recombinant Sema-3A increased by 4 fold migration of M2 but not M1 macrophages. In addition, active beta-1 integrin expression was significantly enhanced (2-fold) by Sema-3A in human M2 macrophages. Importantly, Sema-3A induced a significant increase (by 50%) of focal adhesion kinase phosphorylation. Conclusions: Our data show that Sema-3A prevents atherosclerotic plaque formation in ApoE -/- mice. This may be due in part to enhanced motility and function of M2 macrophages through regulation of beta-1 integrin.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".