Statins Fail to Improve Outcome in Experimental Cerebral Malaria and Potentiate Toll-Like Receptor-Mediated Cytokine Production by Murine Macrophages
Bibliographic record
Abstract
Cerebral malaria is responsible for a large proportion of the estimated one million deaths caused by Plasmodium falciparum malaria annually. This disease is associated with excessive pro-inflammatory cytokine production resulting from dysregulated host responses to infection. On the basis of reports indicating potent activity against host-mediated inflammatory disorders such as sepsis, we examined the activity of statins (3-hydroxy-3-methylglutaryl-coenzyme A reductase inhibitors) on malaria-associated inflammation in vivo and in vitro. Simvastatin failed to improve survival or alter parasitemia in C57BL/6 mice infected with Plasmodium berghei ANKA, an experimental model of cerebral malaria. In vitro statin treatment potentiated production of tumor necrosis factor and interleukin-6 by murine peritoneal macrophages in response to P. falciparum glycosylphosphatidyl inositol, a Toll-like receptor 2 (TLR2) ligand. Statin treatment also potentiated pro-inflammatory cytokine production stimulated by a panel of TLR2 and TLR4 ligands. Our results indicate that statins fail to confer protection in experimental cerebral malaria and potentiate TLR-mediated pro-inflammatory cytokine production by primary murine 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.000 | 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".