SP022IMPAIRED ENDOTHELIAL CELL MIGRATION: NEW INSIGHTS INTO THE MECHANISMS OF COMPLEMENT-MEDIATED ENDOTHELIAL CELL INJURY
Bibliographic record
Abstract
INTRODUCTION: Recent evidence suggests impairment of cell migration as a new mechanism of complement-mediated endothelial cell (EC) injury leading to thrombotic microangiopathy (TMA). We aimed to evaluate whether complement activation affects EC migration. METHODS: Healthy donor blood outgrowth endothelial cells (BOECs) were sensitized with anti-CD59 antibody and exposed to 50% Normal Human Serum (50% NHS). As controls, BOECs were exposed to 50% NHS without sensitization with anti-CD59 or to 50% Heat Inactivated Serum (50% HIS, complement inactive). A cell viability/proliferation assay was performed to evaluate the percentage of necrosis/apoptosis and proliferation. A scratch wound assay was used to study cell migration RESULTS: We found significant differences (p<0.001) in wound closure between BOECs exposed to complement or not. Compared to controls, wound closure was reduced in BOECs after 4, 6, 8 and 10 hours of complement activation (11.59% vs 22.95% after 4 hours; 19.99% vs 38.27% after 6 hours; 31.99% vs 53.03% after 8 hours; 43.20% vs 67.43% after 10 hours. Figure). Cell death was excluded as cause for the defective wound closure (no significant difference in the rate of proliferation/viability compared to controls). We also found that impairment of BOEC migration was reversible after a short complement exposure (2-4 hours). CONCLUSIONS: We described impaired cell migration as a new mechanism of complement-mediated EC injury
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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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".