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Repurposing Pharmaceuticals as Neuroprotective Agents for Cerebral Malaria

2017· review· en· W2733145055 on OpenAlexafffund
Hannah M. Brooks, Michael Hawkes

Bibliographic record

VenueCurrent Clinical Pharmacology · 2017
Typereview
Languageen
FieldMedicine
TopicMalaria Research and Control
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health Research
KeywordsCerebral MalariaMedicineNeuroprotectionRepurposingIntensive care medicineMalariaBlood–brain barrierNeuroscienceAdjunctive treatmentCentral nervous systemPharmacologyPlasmodium falciparumImmunologyInternal medicineBiology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.945
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.574
GPT teacher head0.653
Teacher spread0.079 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations13
Published2017
Admission routes2
Has abstractyes

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