Increased Sensitivity to the C-X-C Chemokine CINC/gro in a Model of Chronic Inflammation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: The C-C chemokine MCP-1 elicits significant neutrophil emigration in rats with chronic adjuvant-induced inflammation, but not in naive animals. We examined responses to the C-X-C chemokine CINC/gro to determine whether this class of chemokine elicits altered neutrophil responses during chronic inflammation. METHODS: CINC/gro was superfused over mesenteric venules of naive rats or animals with chronic adjuvant-induced vasculitis. Antibodies were used to characterize adhesive mechanisms. RESULTS: CINC/gro elicited leukocyte transendothelial migration in adjuvant-immunized rats at 100-fold lower concentrations than required to elicit transmigration in naive animals. In both groups, neutrophils constituted > 95% of the leukocytes recruited by CINC/gro. Using in vitro chemotaxis assays, neutrophils from control and adjuvant-immunized rats responded equally to CINC/gro, suggesting differences in migration were not related to neutrophil phenotype. Differences in adhesion molecule usage were noted in vivo. In control animals, CD18 antibodies blocked CINC/gro-induced neutrophil adhesion and emigration. In adjuvant-immunized animals, an alpha 4-integrin antibody reduced adhesion and emigration, while a CD18 antibody selectively inhibited emigration. CONCLUSIONS: This study demonstrates increased sensitivity to a C-X-C chemokine in a model of chronic inflammation, implicates the alpha 4-integrin in neutrophil adhesion, and demonstrates that CD18 mediates leukocyte transendothelial migration independent from firm adhesion.
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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 it