Plasmodium falciparum sexual conversion rates can be affected by artemisinin-based treatment in naturally infected malaria patients
Bibliographic record
Abstract
BACKGROUND: Artemisinins (ART) are the key component of the frontline antimalarial treatment, but their impact on Plasmodium falciparum sexual conversion rates in natural malaria infections remains unknown. This is an important knowledge gap because sexual conversion rates determine the relative parasite investment between maintaining infection in the same human host and transmission to mosquitoes. METHODS: The primary outcome of this study was to assess the impact of ART-based treatment on sexual conversion rates by comparing the relative transcript levels of pfap2-g and other sexual ring biomarkers (SRBs) before and after treatment. We analysed samples from previously existing cohorts in Vietnam, Burkina Faso and Mozambique (in total, n=109) collected before treatment and at 12 h intervals after treatment. As a secondary objective, we investigated factors that may influence the effect of treatment on sexual conversion rates. FINDINGS: In the majority of infections from the African cohorts, but not from Vietnam, we observed increased expression of pfap2-g and other SRBs after treatment. Estimated parasite age at the time of treatment was negatively correlated with the increase in pfap2-g transcript levels, suggesting that younger parasites are less susceptible to stimulation of sexual conversion. INTERPRETATION: We observed enhanced expression of SRBs after ART-based treatment in many patients, which suggests that in natural malaria infections sexual conversion rates can be altered by treatment. ART-based treatment reduces the potential of a treated individual to transmit the disease, but we hypothesise that under some circumstances this reduction may be attenuated by ART-enhanced sexual conversion. FUNDING: Spanish Agencia Estatal de Investigación (AEI), European Regional Development Fund (ERDF, European Union), Belgium Development Cooperation (DGD), Canadian University Health Network (UHN), TransGlobalHealth-Erasmus Mundus (European Union).
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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 | 0.002 |
| 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".