Nitric oxide upregulates microglia phagocytosis and increases transient receptor potential vanilloid type 2 channel expression on the plasma membrane
Bibliographic record
Abstract
Abstract Microglia phagocytosis is critical for central nervous system development, and dysregulation of phagocytosis may contribute to a variety of neurological disorders. During initial stages of phagocytosis, microglia display increased nitric oxide (NO) production via inducible nitric oxide synthase (iNOS) activity and amplified calcium entry through transient receptor potential vanilloid type 2 (TRPV2) channels. The present study investigated the regulatory role of iNOS/NO signaling in microglial phagocytosis and TRPV2 channel activation using phagocytosis assay, calcium imaging, patch clamp electrophysiology, immunocytochemistry, and immunoblot assays. Results showed that primary microglia from iNOS‐knockout (iNOS−/−) mice exhibited substantial deficits in phagocytic capacity and TRPV2 channel activity relative to wild‐type (WT) controls. Specifically, iNOS−/− microglia displayed a lower level of TRPV2 protein localized on the plasma membrane (PM) without any significant change in the mRNA levels of Fc‐gamma receptors and TRPV2. In addition, iNOS−/− microglia, unlike their WT controls, failed to elicit a calcium influx in response to application of the TRPV2‐agonist 2‐aminoethoxydiphenyl borate (2APB). Importantly, the phagocytic capacity and the PM expression and activity of TRPV2 in iNOS−/− microglia were largely corrected by pretreatment with NO‐donors. Accordingly, the 2APB‐evoked calcium influx and the PM expression of TRPV2 in WT microglia were significantly decreased by selective inhibition of iNOS, protein kinase‐G (PKG), or phosphoinositide‐3‐kinase (PI3K), respectively. Together, results from this study indicated that iNOS/NO signaling upregulates microglial phagocytosis and increases TRPV2 trafficking to the PM via PKG/PI3K dependent pathway(s).
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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 | 0.001 |
| 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".