Induction of Nitric Oxide Synthase and Activation of Signaling Proteins in<i>Anopheles</i>Mosquitoes by the Malaria Pigment, Hemozoin
Bibliographic record
Abstract
Anopheles stephensi, a major vector for malaria parasite transmission, responds to Plasmodium infection by synthesis of inflammatory levels of nitric oxide (NO), which can limit parasite development in the midgut. We have previously shown that Plasmodium falciparum glycosylphosphatidylinositols (PfGPIs) can induce A. stephensi NO synthase (AsNOS) expression in the midgut epithelium in vivo in a manner similar to the manner in which cytokines and NO are induced by PfGPIs in mammalian cells. In mosquito cells, signaling by PfGPIs and P. falciparum merozoites is mediated through Akt/protein kinase B (Akt/PKB), the mitogen-activated protein kinase kinase DSOR1, and extracellular signal-regulated kinase (ERK). In mammalian cells, a second parasite factor, malaria pigment or hemozoin (Hz), signals NOS induction through ERK- and nuclear factor kappa B-dependent pathways and has been demonstrated to be a novel proinflammatory ligand for Toll-like receptor 9. In this study, we demonstrate that Hz can also induce AsNOS gene expression in immortalized A. stephensi and Anopheles gambiae cell lines in vitro and in A. stephensi midgut tissue in vivo. In mosquito cells, Hz signaling is mediated through transforming growth factor beta-associated kinase 1, Akt/PKB, ERK, and atypical protein kinase C zeta/lambda. Our results show that Hz is a prominent parasite-derived signal for Anopheles and that signaling pathways activated by PfGPIs and Hz have both unique and shared components. Together with our previous findings, our data indicate that parasite signaling of innate immunity is conserved in mosquito and mammalian cells.
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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".