Trafficking of TNF via recycling endosomes in neutrophils
Bibliographic record
Abstract
Neutrophils are highly abundant innate immune cells that contribute to asphyxic episodes of acute asthma exacerbations, and secrete the proinflammatory cytokine tumour necrosis factor-α (TNF). Recycling endosomes (REs) are specialized secretory compartments that perform multiple functions including trafficking of cytokines to cell surfaces, although these are not characterized in neutrophils. Our objective is to identify trafficking components in neutrophils that may contribute to cytokine secretion. The effect of bacterial lipopolysaccharide (LPS) stimulation on the trafficking of stored and newly synthesized TNF was determined by treatment of human peripheral blood neutrophils with or without cycloheximide. To visualize intracellular TNF, neutrophils were adhered to glass slides and treated with LPS for 1 h (10 ng/ml). Colocalization of TNFα in neutrophils was performed with transferrin-Alexa 488 and anti-VAMP3 (markers for RE), anti-CD63 and anti-CD66b a membrane markers for the primary and secondary granules in neutrophils, respectively. We also determined Rab5 and Rab7 colocalization with TNF (markers for early and late endosomes, respectively). Imaging was carried out by Deltavision OMX super resolution microscopy. LPS induced 30-40% TNF secretion from stored sources, with the remainder newly synthesized. We found that neutrophils possess REs as determined by transferrin uptake and VAMP3 labeling. TNF also colocalized with REs, primary and secondary granules as well as early and late endosomes, suggesting multiple sites of TNF storage and trafficking in neutrophils. However, TNF only colocalized with VAMP3 around periphery of cells after 1 h stimulation with LPS, suggesting TLR4-induced TNF trafficking via REs. The present study provides evidence that movement of TNF VAMP-3 vesicles towards the cell periphery in response to LPS. This suggests that neutrophils utilize REs for trafficking of TNF to the cell surface in response to TLR4 signalling. These findings contribute to our understanding of how neutrophils package, transport, and release cytokines.
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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".