Abstract 438: Macrophages in a BAPN/AT2 Induced Model of Murine Aneurysm are Predominantly Lyve-1 and Tim-4 Negative
Bibliographic record
Abstract
Macrophages are key effector cells in aneurysm progression. Aneurysm macrophages may derive from monocyte recruitment and turnover of resident cells. We tested the hypothesis that aneurysm macrophages have a non-resident (lyve-1/tim-4 negative) phenotype. C57/Bl6 mice were administered beta-aminopropriononitrile (BAPN) and angiotensin-2 (AT2). At four weeks, whole aortas were excised, photomicrographed, and single cell suspensions created for immunophenotyping with flow cytometry. Results were compared to wild-type controls. BAPN/AT2 causes aortic dilatation (p<0.01) with maximal aneurysmal degeneration at the suprarenal aorta (wild-type control aortic diameter 0.93±0.03mm, n=8; BAPN/AT2 2.00±0.10mm, n=23; p<0.0001). BAPN/AT2 significantly increased aortic cd45+ myeloid-lymphoid cells and cd11b+ f4/80+ macrophages (p<0.02). Maximal aneurysm diameter correlated positively with aortic cell numbers of cd45+ myeloid-lymphoid cells (R=0.8168, p<0.001) and macrophages (R=0.5977, p=0.02). In wild-type, aortic macrophages are predominantly lyve-1 positive (67±3%, n=10). Whilst overall macrophage numbers are increased in aneurysm, the percentage of lyve-1 positive macrophages is significantly reduced (40±3%, n=18; p<0.001). The number of lyve-1 negative macrophages (R=0.6875, p=0.02), correlated with maximal suprarenal aortic diameter. In controls and aneurysm, lyve-1 positive, but not lyve-1 negative, macrophages are also tim-4 positive. In a BAPN/AT2 murine aneurysm model, aortic cd45+ myeloid-lymphoid cells and macrophages are increased and cell counts correlate with maximal aortic dilatation. Wild-type murine aortic macrophages are predominantly lyve-1/tim4 positive, with a significant relative increase in lyve-1/tim4 negative macrophages in aneurysm, suggesting lyve-1/tim-4 may indicate a resident macrophage phenotype.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".