<i>Leishmania donovani</i> Induces Autophagy in Human Blood–Derived Neutrophils
Bibliographic record
Abstract
Abstract Neutrophils, the essential components of the innate immune system, are recruited in large numbers to the pathogen site of entry. Several pathogens induce neutrophil autophagy; however, function of autophagic events during Leishmania parasite infection remain unknown. In this article, we report a finding that is new, to our knowledge, of how Leishmania-induced human polymorphonuclear neutrophil (hPMN) autophagy regulates the silent mode of parasite transfer to macrophages by influencing the engulfment of infected cells. Leishmania infection induced a time-dependent autophagy increase responsive to block by 3-methyladenine but sensitive to ULK1/2 inhibition only after 3 h. This suggested the prevalence of canonical autophagy during later hours, ULK1/2 inhibition being able to block only canonical autophagy. Interaction of Rubicon and Beclin-1 at 1 h postinfection affirmed the prevalence of noncanonical autophagy during early infection. There was a reduction in macrophage uptake of parasite-exposed hPMNs treated with 3-methyladenine or ULK1/2 inhibitor, suggesting the involvement of both noncanonical and canonical autophagy in neutrophil engulfment. Autophagy inducer rapamycin augmented neutrophil engulfment by macrophages. Redistribution of hPMN surface CD47 encouraged neutrophil uptake. Activation of ERK, phosphoinositide 3-kinase, and NADPH oxidase–mediated reactive oxygen species generation were induced after parasite binding. The lpg1-knockout parasites expressing defective lipophosphoglycan did not induce autophagy, indicating that lipophosphoglycan is necessary for interaction with the neutrophils. Autophagy induction was TLR2/4 independent because the receptor blockade did not interfere with infection-induced autophagy. In summary, the engulfment of neutrophils by the macrophages was influenced by the escalation of hPMN autophagy, which is an important event during Leishmania infection.
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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".