Understanding the sexual conversion of the malaria parasite is essential to interrupt malaria transmission. A new tool is developed that, based on expression analysis of sexual stage biomarkers, will estimate sexual conversion rates in natural infections.
Understanding the sexual conversion of the malaria parasite is essential to interrupt malaria transmission. At each replicating cycle within erythrocytes, a proportion of asexual parasites converts into non-replicative sexual stages, which are the only forms able to infect mosquitos. The rate at which sexual stages are produced, is known as basal sexual conversion rate. Changes in the host immune and metabolic environment associated with the development of malaria disease, such as depletion of lysophosphatidylcholine in plasma, have been associated with increased sexual conversion rates in vitro. It is hypothesised that immune and metabolite factors that are altered during malaria infection induce sexual conversion in Plasmodium falciparum parasites. In this project, a new tool is developed that, based on expression analysis of sexual stage biomarkers, will estimate sexual conversion rates in natural infections. The aim is to identify immune factors and metabolites that induce sexual conversion using in-house developed sexual conversion assays, and experimental mosquito infections. Finally, transcriptional mechanisms are explored driving parasite sexual conversion in the host environment during disease using single-cell RNA-sequencing approaches. This research will provide essential knowledge on the factors that affect sexual conversion in the host and potentially inform novel strategies to interrupt transmission.
Study Type
OBSERVATIONAL
Enrollment
458
Institute of Tropical Medicine Antwerp
Antwerp, Antwerp, Belgium
Institut de Recherche en Sciences de la Santé - Clinical Research Unit of Nanoro
Nanoro, Burkina Faso
Instituto Nacional de Saúde (INS)
Maputo, Mozambique
To validate a Sexual Conversion Estimator tool
To validate a Sexual Conversion Estimator tool to accurately estimate SC rates and future transmission potential in epidemiological samples. First, the investigators will measure expression levels of SRBs and directly determine SC rates in samples from malaria asymptomatic patients. Second, the investigators will use a machine learning classifier to determine the combination of SRBs that best predicts SC rates; and third, the investigators will measure the predictive value of the Estimator tool for future transmission potential
Time frame: 2023-2025
To investigate in malaria patients associations between host immune and metabolic factors and P. falciparum sexual conversion and infection potential
In patients with uncomplicated and severe malaria, the investigators will investigate associations between host inflammatory molecules, parasite-specific Ab and metabolic factors, with parasite SC rates. The investigators hypothesize that SC rates will be higher in severe malaria patients and associated with specific molecules and metabolites.
Time frame: 2023-2025
To validate associations between sexual conversion and host immune and metabolic factors in vitro
An in vitro assay, based on recently described gametocyte-reporter parasite lines 16 will be used to validate candidate associations identified in Objective 2. First, the effect of patient serum samples and specific metabolites and inflammatory factors via in vitro SC assays is tested. Next, in vitro cultures with significantly induced SC will be fed to Anopheles stephensi mosquitoes to assess infection potential via standard membrane feeding assays. It is hypothesized that plasma/factors identified in Objective 2, induce SC in vitro and increase mosquito infections.
Time frame: 2024-2026
To explore transcriptional mechanisms driving parasite sexual conversion in the host environment during uncomplicated and severe malaria disease
Use of a single cell RNA-sequencing (scRNA-seq) approaches to generate the first in-depth characterization of gene expression patterns of very early sexual stages in the host circulation during natural infections in uncomplicated and severe clinical presentations (samples collected in Objective 2).
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Time frame: 2024-2026