Angiotensin II-Induced Mononuclear Leukocyte Interactions with Arteriolar and Venular Endothelium Are Mediated by the Release of Different CC Chemokines
Bibliographic record
Abstract
Angiotensin II (Ang-II) is associated with atherogenesis and arterial subendothelial mononuclear leukocyte infiltration. We have demonstrated that Ang-II causes the initial attachment of mononuclear cells to the arteriolar endothelium. We now report on the contribution of CC chemokines to this response. Intraperitoneal administration of 1 nM Ang-II induced MCP-1, RANTES, and MIP-1alpha generation, maximal at 4 h, followed by mononuclear leukocyte recruitment at 8 and 24 h. Using intravital microscopy within the rat mesenteric microcirculation 4 h after exposure to 1 nM Ang-II, arteriolar mononuclear cell adhesion was 80-90% inhibited by pretreatment with Met-RANTES, a CCR1 and CCR5 antagonist, or an anti-MCP-1 antiserum, without affecting the increased endothelial expression of P-selectin and VCAM-1. Conversely, leukocyte interactions with the venular endothelium, although inhibited by Met-RANTES, were little affected by the anti-MCP-1. Using rat whole blood in vitro, Ang-II (100 nM) induced the expression of monocyte CD11b that was inhibited by Met-RANTES but not by anti-MCP-1. Stimulation of human endothelial cells (human umbilical arterial endothelial cells and HUVECs) with 1-1000 nM Ang-II, predominantly acting at its AT(1) receptor, induced the release of MCP-1 within 1 h, RANTES within 4 h, and MCP-3 within 24 h. Eotaxin-3, a natural CCR2 antagonist, was released within 1 h and may delay mononuclear cell responses to MCP-1. Therefore, Ang-II-induced mononuclear leukocyte recruitment at arterioles and venules is mediated by the production of different CC chemokines. Thus, Ang-II may be a key molecule in the initial attachment of mononuclear cells to the arterial endothelium in cardiovascular disease states where this event is a characteristic feature.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".