Requirement for Vav Proteins in Post-Recruitment Neutrophil Cytotoxicity in IgG but Not Complement C3-Dependent Injury
Bibliographic record
Abstract
The signals linking neutrophil opsonic receptors, FcgammaRs and complement receptor 3 (Mac-1) to cellular cytotoxic responses are poorly understood. Furthermore, because a deficiency in activating FcgammaRs reduces both IgG-mediated neutrophil recruitment and tissue injury, the role of FcgammaRs specifically in mediating neutrophil cytotoxicity in vivo remains unclear. In this study, we demonstrate that neutrophil Vav 1 and 3, guanine exchange factors for Rac GTPases, are required for IgG/FcgammaR-mediated hemorrhage and edema in the reverse passive Arthus in the lung and skin. Rac GTPases are also required for development of the reverse passive Arthus reaction. A deficiency in Vav 1 and 3 does not affect neutrophil accumulation at the site of immune complex deposition, thus uncoupling neutrophil recruitment and tissue injury. Surprisingly, Vav and Rac proteins are dispensable for the development of the local Shwartzman reaction in vivo and phagocytosis of complement-opsonized RBC in vitro, processes strictly dependent on Mac-1 and complement C3. Thus, FcgammaR signaling through the Vav and Rac proteins in neutrophils is critical for stimulating immune complex disease while Vav- and Rac-independent pathways promote Mac-1/complement C3-dependent functions.
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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 | 0.000 |
| 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".