An engineered CX3CR1 antagonist endowed with anti-inflammatory activity
Bibliographic record
Abstract
Chemokines are mainly involved in the recruitment of leukocytes into tissues, a key feature of inflammation. Through its unique receptor CX3CR1, the chemokine CX3CL1 participates in diverse inflammatory processes including arterial atherosclerosis and cerebral or renal inflammation. Using a phage display strategy, we engineered a hCX3CL1 analog (named F1) with a modified N terminus. F1 bound specifically to cells expressing hCX3CR1 and had a K(d) value close to that of native CX3CL1. F1 was not a signaling molecule and did not induce chemotaxis, calcium flux, or CX3CR1 internalization. However, it potently inhibited the CX3CL1-induced calcium flux and chemotaxis in CX3CR1-expressing primary cells of human and murine origin with an IC(50) of 5-50 nM. It also efficiently inhibited the cell adhesion mediated by the CX3CL1-CX3CR1 axis. Finally, in a noninfectious murine model of peritonitis, F1 strongly inhibited macrophage accumulation. These data reveal a prototype molecule that is the first bona fide antagonist of hCX3CR1. This molecule could be used as a lead compound for the development of a novel class of anti-inflammatory substances that act by inhibiting CX3CR1.
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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 | 0.001 | 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".