CXCR2 Blockade Impairs Angiotensin II–Induced CC Chemokine Synthesis and Mononuclear Leukocyte Infiltration
Bibliographic record
Abstract
OBJECTIVE: Angiotensin II (Ang-II) and mononuclear leukocytes are involved in atherosclerosis. This study reports the inhibition of Ang-II-induced mononuclear cell recruitment by CXCR2 antagonism and the mechanisms involved. METHODS AND RESULTS: Ang-II (1 nmol/L, i.p. in rats) induced CXC and CC chemokines, followed by neutrophil and mononuclear cell recruitment. Administration of the CXCR2 antagonist, SB-517785-M, inhibited the infiltration of both neutrophils (98%) and mononuclear cells (60%). SB-517785-M had no effect on the increase in CXC chemokine levels but reduced MCP-1, RANTES, and MIP-1alpha release by 66%, 63%, and 80%, respectively. Intravital microscopy showed that pretreatment with SB-517785-M inhibited Ang-II-induced arteriolar mononuclear leukocyte adhesion. Stimulation of human umbilical arterial endothelial cells (HUAECs) or whole blood with 1 micromol/L Ang-II induced the synthesis of chemokines. Ang-II increased HUAEC CXCR2 expression, and its blockade caused a significant reduction of MCP-1, -3, and RANTES release, as well as mononuclear cell arrest. Ang-II-induced MIP-1alpha release from blood cells was also inhibited. CONCLUSION: Mononuclear leukocyte recruitment induced by Ang-II is, surprisingly, largely mediated by the CXC chemokines which appear to induce the release of CC chemokines. Therefore, CXC chemokine receptor antagonists may help to prevent mononuclear cell infiltration and the progression of the atherogenic process.
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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 | 0.001 |
| 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".