CC Chemokine I-309 Is the Principal Monocyte Chemoattractant Induced by Apolipoprotein(a) in Human Vascular Endothelial Cells
Bibliographic record
Abstract
BACKGROUND: Lipoprotein(a) [Lp(a)] is a risk factor for atherosclerosis; however, the mechanisms are unclear. We previously reported that Lp(a) stimulated human vascular endothelial cells to produce monocyte chemotactic activity. The apolipoprotein(a) [apo(a)] portion of Lp(a) was the active moiety. METHODS AND RESULTS: We now describe the identification of the chemotactic activity as being due to the CC chemokine I-309. The carboxy-terminal domain of apo(a) containing 6 type-4 kringles (types 5 to 10), kringle V, and the protease domain was demonstrated to contain the I-309-inducing portion. Polyclonal and monoclonal anti-I-309 antibodies as well as an antibody against a portion of the extracellular domain of CCR8, the I-309 receptor, inhibited the increase in monocyte chemotactic activity induced by apo(a). I-309 antisense oligonucleotides also inhibited the induction of endothelial monocyte chemotactic activity by apo(a). I-309 mRNA was identified in human umbilical vein endothelial cells. Apo(a) induced an increase in I-309 protein in the endothelial cytoplasm and in the conditioned medium. Immunohistochemical studies have identified I-309 in endothelium, macrophages, and extracellular areas of human atherosclerotic plaques and have found that I-309 colocalized with apo(a). CONCLUSIONS: These data establish that I-309 is responsible for the monocyte chemotactic activity induced in human umbilical vein endothelial cells by Lp(a). The identification of the endothelial cell as a source for I-309 suggests that this chemokine may participate in vessel wall biology. Our data also suggest that I-309 may play a role in mediating the effects of Lp(a) in atherosclerosis.
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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) | 0.002 | 0.001 |
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".