Repurposing Pharmaceuticals as Neuroprotective Agents for Cerebral Malaria
Bibliographic record
Abstract
BACKGROUND: infection which may result in death or developmental disability. The pathologic processes leading to CM are not fully elucidated; however, widely accepted mechanisms include parasite sequestration, release of infected red blood cell contents, activation of endothelial cells, increased inflammatory responses, and ultimately dysfunction of the neurovascular unit (NVU). The endothelium plays a central role in these processes as the site of parasitized erythrocyte sequestration and as the regulator of fluid extravasation into the central nervous system. Modulating endothelial barrier function at the NVU may provide new therapeutic approaches to improve outcomes in CM. METHODS: Here we provide a narrative review of the literature of peer-reviewed research relating to adjunctive therapies for CM. We discuss regulatory pathways of the NVU, with a focus on the potential for pharmacologic modulation of the NVU to improve CM outcomes. RESULTS: Recently licensed pharmaceuticals, developed as therapies for cancer or neurologic disease, could be re-purposed for use as host-directed therapies in CM to target pathways involved in endothelial stability and activation. CONCLUSION: The findings of this review highlight recently licensed pharmaceuticals that may be developed as future adjunctive therapies for CM.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".