Modulating Neutrophil‐Derived MPO‐Endothelial Surface Binding with CORMs
Bibliographic record
Abstract
Myeloperoxidase (MPO) binds to vascular endothelial cells (EC) through a mechanism that, at least in part, involves interactions with glycosaminoglycans expressed on the endothelial surface. MPO that is closely associated with endothelial cells can directly damage them through its catalytic activity. Our previous work demonstrated that carbon monoxide‐releasing molecule 3 (CORM‐3) inhibits MPO catalytic activity and can thereby mitigate its detrimental effects during severe inflammation. The effects and mechanisms of CORM‐dependent modulation of MPO‐vascular EC binding are not yet investigated. We have employed in vitro assays to study neutrophil‐derived MPO binding to human umbilical vein EC (HUVEC) following treatment with two structurally different CORMs; CORM‐3 and CORM‐401, synthesized based on Ru or Mn transition metals, respectively. Our results indicate that at equimolar concentrations CORM‐3, but not CORM‐401 inhibits MPO‐endothelial surface binding. Inactivated CORM‐3 (iCORM‐3) did not inhibit MPO binding to EC We conclude that in addition to CORM‐3‐dependent suppression of MPO catalytic activity, reduced MPO binding to EC in the presence of CORM‐3 may provide an additional mechanism that contributes to CORM‐dependent suppression of inflammation and endothelial damage.
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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".