Eotaxin-3 is a natural antagonist for CCR2 and exerts a repulsive effect on human monocytes
Bibliographic record
Abstract
Eotaxin-3 (CCL26) belongs to the group of CC chemokines that attract eosinophils, basophils, and Th2 lymphocytes. Like eotaxin (CCL11) and eotaxin-2 (CCL24), eotaxin-3 mediates its activity through CCR3. Here we show that eotaxin-3 also binds to CCR2 on monocytes and CCR2-transfected cells. In contrast to monocyte chemotactic protein 1 (MCP-1; CCL2), eotaxin-3 does not trigger intracellular calcium mobilization, enzyme release, or phosphorylation of the mitogen-activated protein (MAP) kinase ERK and induces a weak chemotaxis in monocytes. Instead, eotaxin-3 inhibits MCP-1-mediated responses, thus acting as a natural antagonist for CCR2. This study also demonstrates that eotaxin-3 promotes active movement of monocytes away from a gradient of eotaxin-3 in vitro. This repellent effect is amplified when an additional gradient of MCP-1 is applied, demonstrating that the 2 mechanisms are synergistic. Eotaxin-3 effects on monocytes are largely abolished when cells are pretreated with MCP-1 or CCR2 antagonists. Like MCP-1-mediated migration, repulsion is sensitive to Bordetella pertussis toxin, indicating the involvement of Gi protein-coupled receptors. However, using transfected cells expressing CCR2 we could not detect F-actin formation or an active movement away induced by eotaxin-3, suggesting that either expression of a single receptor type is not sufficient to mediate cell repulsion or that the used transfected cell lines lack additional interaction molecules that are required for reverse migration. Eotaxin-3 was expressed by vascular endothelial cells and was essential for endothelial transmigration of eosinophils. Our data provide a mechanism by which 2 chemokine gradients that are oriented in opposite directions could cooperate in efficiently driving out monocytes from blood vessels into tissue.
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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".