LSP1 modulates leukocyte populations in resting and inflamed peritoneum
Bibliographic record
Abstract
Lymphocyte-specific protein 1, recently renamed leukocyte-specific protein 1 (LSP1), is an F-actin binding protein expressed in lymphocytes, macrophages, and neutrophils in mice and humans. This study examines LSP1-deficient (Lsp1(-/-)) mice for the development of myeloid and lymphocytic cell populations and their response to the development of peritonitis induced by thioglycollate (TG) and to a T-dependent antigen. Lsp1(-/-) mice exhibit significantly higher levels of resident macrophages in the peritoneum compared to wild-type (wt) mice, whereas the development of myeloid cells is normal. This increase, which is specific for conventional CD5(-) macrophages appears to be tissue specific and does not result from differences in adhesion to the peritoneal mesothelium. The level of peritoneal lymphocytes is decreased in Lsp1(-/-) mice without affecting a particular lymphocytic subset. The proportions of precursor and mature lymphocytes in the central and peripheral tissues of Lsp1(-/-) mice are similar to those of wt mice and Lsp1(-/-) mice mount a normal response to the T-dependent antigen, ovalbumin (OVA). On injection of TG, the Lsp1(-/-) mice exhibit an accelerated kinetics of changes in peritoneal macrophage and neutrophil numbers as compared to wt including increased influx of these cells. LSP1(-) neutrophils demonstrate an enhanced chemotactic response in vitro to N-formyl methionyl-leucyl-phenylalanine (FMLP) and to the C-X-C chemokine, KC, indicating that their enhanced influx into the peritoneum may be a result of increased motility. Our data demonstrate that LSP1 is a negative regulator of neutrophil chemotaxis. (Blood. 2000;96:1827-1835)
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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 | 0.001 |
| 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".