C-reactive protein-derived peptide 201–206 inhibits neutrophil adhesion to endothelial cells and platelets through CD32
Bibliographic record
Abstract
The role of CRP as a regulator of inflammation is not fully understood. Structural rearrangement in CRP results in expression of potent proinflammatory actions. Proteolysis of CRP yields the C-terminal peptide Lys(201)-Pro-Gln-Leu-Trp-Pro(206). Here, we investigated the impact of this peptide on neutrophil interactions with endothelial cells and platelets, critical inflammatory events triggering acute coronary artery disease. CRP peptide 201-206 induced L-selectin shedding from human neutrophils and inhibited L-selectin-mediated neutrophil adhesion to TNF-α-activated HCAECs under nonstatic conditions. CRP peptide 201-206 also attenuated shear-induced up-regulation of platelet P-selectin expression, platelet capture of neutrophils, and subsequent homotypic neutrophil adhesion in human whole blood. Anti-CD32 but not anti-CD16 or anti-CD64 mAb effectively prevented the inhibitory actions of CRP peptide 201-206. Substitution of Lys(201), Gln(203), or Trp(205) with Ala in CRP peptide 201-206 resulted in loss of the biological activities, whereas peptides in which Pro(202), Leu(204), or Pro(206) was substituted with Ala retained biological activity. We identified amino acid residues involved in CRP peptide 201-206-FcγRII (CD32) interactions, which mediate potent antineutrophil and antiplatelet adhesion actions, and these findings open up new perspectives for limiting inflammation and thrombosis underlying coronary artery disease.
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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".