<scp>PIKfyve</scp> Inhibition Interferes with Phagosome and Endosome Maturation in Macrophages
Bibliographic record
Abstract
Macrophages eliminate pathogens and cell debris through phagocytosis, a process by which particulate matter is engulfed and sequestered into a phagosome. Nascent phagosomes are innocuous organelles resembling the plasma membrane. However, through a maturation process, phagosomes are quickly remodeled by fusion with endosomes and lysosomes to form the phagolysosome. Phagolysosomes are highly acidic and degradative leading to particle decomposition. Phagosome maturation is intimately dependent on the endosomal pathway, during which diverse cargoes are sorted for recycling to the plasma membrane or for degradation in lysosomes. Not surprisingly, various regulators of the endosomal pathway are also required for phagosome maturation, including phosphatidylinositol-3-phosphate, an early endosomal regulator. However, phosphatidylinositol-3-phosphate can be modified by the lipid kinase PIKfyve into phosphatidylinositol-3,5-bisphosphate, which controls late endosome/lysosome functions. The role of phosphatidylinositol-3,5-bisphosphate in macrophages and phagosome maturation remains basically unexplored. Using Fcγ receptor-mediated phagocytosis as a model, we describe our research showing that inhibition of PIKfyve hindered certain steps of phagosome maturation. In particular, PIKfyve antagonists delayed removal of phosphatidylinositol-3-phosphate and reduced acquisition of LAMP1 and cathepsin D, both common lysosomal proteins. Consistent with this, the degradative capacity of phagosomes was reduced but phagosomes appeared to still acidify. We also showed that trafficking to lysosomes and their degradative capacity was reduced by PIKfyve inhibition. Overall, we provide evidence that PIKfyve, likely through phosphatidylinositol-3,5-bisphosphate synthesis, plays a significant role in endolysosomal and phagosome maturation in macrophages.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| 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".