G-CSF-induced emergency granulopoiesis modulates neutrophil effector function in mice 3345
Bibliographic record
Abstract
Abstract Description Neutrophils function as first responders of the immune system by deploying cytotoxic armaments and orchestrating local inflammation. Their functionality is programmed during daily production in the bone marrow through granulopoiesis. During severe inflammation, increase in neutrophil demand is met through activation of emergency granulopoiesis. The effect of emergency granulopoiesis on neutrophil functionality remains cryptic. In the present study, we assessed neutrophil function in mice injected with G-CSF (100 µg/kg/d for 3 days) to activate emergency granulopoiesis. We found that emergency granulopoiesis neutrophils exhibit impaired ROS production (n = 6, P < 0.01) and NETosis (n = 5, P < 0.01), but increase in neutrophil elastase secretion (n = 9, P < 0.0001) and LPS-induced Tnfa, Il1b, Il1a, Il12a, and Ccl2 expression (n = 13, P < 0.01). To test the impact of emergency granulopoiesis neutrophils on the inflammatory response in vivo, we pre-treated mice with G-CSF and challenged them with zymosan to induce peritonitis. At 4 h post-zymosan injection, peritoneal neutrophils from G-CSF treated mice exhibit increased expression of Ccl2 (n = 3, P < 0.05). Subsequently, we observe enhanced peritoneal macrophage accumulation at 48 h post-zymosan administration in G-CSF treated mice (n = 5, P < 0.05). These data indicate that emergency granulopoiesis programs neutrophils with an enhanced immunomodulatory function that orchestrates subsequent macrophage response in local tissue inflammation. Funding Sources Supported by NIH F31HL174069; AHA 24PRE1243117; NIH T32AI132146; NIH R01HL141191; NIH P01HL078825; Jewish Heritage Fund - Research Enhancement Award. Topic Categories Innate Immune Responses and Host Defense: Cellular Mechanisms (INC)
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".