Neutrophil responses to acute <i>Mycobacterium tuberculosis</i> infection in non-human primates
Bibliographic record
Abstract
Abstract In human and animal models of Mycobacterium tuberculosis (Mtb) infection, neutrophil involvement is associated with severe active disease and increased tissue pathology in tuberculosis (TB). Transcriptomic analyses of human and non-human primate peripheral blood has identified distinct transcriptional signatures, especially during early stages of infection, that link neutrophils and active disease but the biology of peripheral blood neutrophils in TB remains poorly understood. This study is aimed at understanding neutrophil behavior during early stages of Mtb infection using the non-human primate model of TB infection. To accomplish this, we examined cytokine production, secretion, and gene transcription in cynomolgus macaque peripheral blood neutrophils early after Mtb infection. We found that peripheral blood neutrophils could secrete a surprising range of cytokines in response to mycobacterial stimulation, and in a longitudinal analyses, cytokine expression was upregulated between 3-5 weeks post Mtb infection. Studies on neutrophil transcriptional responses to Mtb were performed to identify changes induced by mycobacterial antigens. These results suggest that changes in host biology during early disease modify peripheral blood neutrophil responses to mycobacteria.
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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".