Bibliographic record
Abstract
The emigration of leukocytes across the blood-endothelium barrier and their subsequent transmigration through the interstitium is a complex process that is vital for maintaining the efficiency of the body's innate and adaptive immunity. The chemokines, a family of low-molecular-weight chemoattractant cytokines, are well recognized to be key players in this process. However, recent investigations have highlighted an important role played by the selectin family of adhesion molecules in enhancing chemokine functions. This review summarizes the in vitro and in vivo studies that support this growing notion. It discusses chemotaxis in the context of the phosphoinositide 3-kinase and p38 mitogen-activated protein kinase pathways, and their relation to several chemoattractants (i.e., interleukin-8, leukotriene-B(4), formyl-methionyl-leucyl-phenylalanine, keratinocyte-derived cytokine, and macrophage inflammatory protein-2), the possible role played by L-selectin, and finally how chemotaxis can be altered in different inflammatory settings, such as lipopolysaccharide-mediated endotoxemia or chronic vasculitis.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".