Timing of neutrophil tissue repopulation predicts restoration of innate immune protection in a murine bone marrow transplantation model
Bibliographic record
Abstract
It has been suggested that neutrophil tissue repopulation following bone marrow transplantation (BMT) serves as an earlier and more relevant marker of susceptibility to infection than circulating neutrophil counts. In a previous study using an oral rinse protocol, we found that oral neutrophil recovery always preceded blood neutrophil engraftment and that the day of oral neutrophil detection served as a predictor of patient susceptibility to infection after BMT. Consequently, we have developed and validated a mouse BMT model which uses bone marrow transplants containing enhanced green fluorescent protein-expressing neutrophils to follow neutrophil tissue repopulation after BMT. Using this in vivo cell migration model, we assessed the significance of neutrophil tissue recruitment kinetics with neutrophil functionality and in vivo bacterial killing after BMT. Using the animal model, we have demonstrated that protection against bacterial infection is conferred at the time of neutrophil tissue delivery, which always occurs before neutrophils are detected in the blood. We therefore conclude that neutrophil tissue recovery is an early measure of the restoration of cellular innate immune function after BMT. This model will help us better understand the factors regulating neutrophil recruitment to the tissues.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".