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Urinary Metabolic Profiling in Volunteers Undergoing Malaria Challenge in Gabon
Madeleine Eunice Betouke Ongwe1,2,3, Isabelle Kohler4,5, Mikhael D Manurung1
1Department of Parasitology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
Metabolites
|December 23, 2022
Summary
Malaria infection alters urinary metabolites differently in Europeans and Africans. Lifelong exposure influences immune response, with pre-infection metabolites potentially predicting malaria control in endemic areas.
Area of Science:
- Parasitology
- Metabolomics
- Immunology
Background:
- The host-parasite interaction in malaria is complex.
- Urinary metabolite profiles during Plasmodium falciparum (P. falciparum) infection and their link to immunity are not well understood.
Purpose of the Study:
- To investigate longitudinal urinary metabolite profiles in response to P. falciparum sporozoite (PfSPZ) challenge.
- To compare metabolic changes between malaria-naïve Europeans and Africans with lifelong exposure.
- To identify potential biomarkers for parasitaemia control.
Main Methods:
- Longitudinal study involving direct venous inoculation of PfSPZ in 20 Africans and 5 Europeans.
- Urine sample collection pre-challenge and at multiple time points post-challenge (days 2, 5, 9, 11).
- Analysis of urinary metabolite profiles using metabolomics.
Main Results:
- Distinct urinary metabolite alterations were observed between Europeans and Africans post-infection, more pronounced in Europeans.
- Africans with lifelong exposure exhibited delayed or controlled parasitaemia compared to Europeans.
- Specific metabolites (e.g., formate, urea, choline) were elevated in infected Africans, while others (e.g., pyruvate, 3-methylhistidine) were lower in those controlling infection.
- Pre-infection levels of phenylacetylglutamine may predict parasitaemia control in Africans.
Conclusions:
- Lifelong exposure to malaria significantly influences urinary metabolic responses to P. falciparum infection.
- Urinary metabolomics can differentiate responses based on malaria exposure history.
- Pre-infection metabolic profiles may offer predictive value for parasitaemia control in malaria-endemic regions.
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