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Plasmodium falciparum clonal population dynamics during malaria treatment
Sayeh Jafari1, Jacques Le Bras, Olivier Bouchaud
1Centre National de Référence pour la Chimiosensibilité du Paludisme, Université Paris V et Assistance Publique-Hôpitaux de Paris, Hôpital Bichat-Claude Bernard, Laboratoire de Parasitologie, Paris, France.
The Journal of Infectious Diseases
|January 15, 2004
Summary
A new method reveals multiple Plasmodium falciparum clones in malaria patients, with genotypes shifting during treatment. This challenges current interpretations of antimalarial drug resistance studies.
Area of Science:
- Malariology
- Parasitic Diseases
- Molecular Biology
Background:
- Plasmodium falciparum is a major cause of malaria.
- Understanding parasite clonal dynamics is crucial for effective treatment and resistance monitoring.
- Previous methods lacked the resolution to track rapid changes in parasite populations.
Purpose of the Study:
- To develop and validate a novel fragment-analysis method for enumerating Plasmodium falciparum clones.
- To quantify the proportions of different clones within patient isolates over time.
- To investigate the dynamics of clonal populations and their resistance genotypes during antimalarial treatment.
Main Methods:
- Developed a fragment-analysis technique to identify and quantify Plasmodium falciparum clones.
- Analyzed blood samples from 20 malaria patients at 10 time points during quinine treatment.
- Determined resistance genotypes (pfcrt, dhfr) for chloroquine and antifolinics.
Main Results:
- Detected multiple Plasmodium falciparum genotypes in 95% of patients, with 2-5 genotypes common.
- Observed rapid disappearance and reappearance of clones within hours.
- Found that resistance genotypes varied significantly over the treatment period in 10 of 15 subjects.
Conclusions:
- The developed fragment-analysis method accurately tracks Plasmodium falciparum clonal complexity.
- Parasite clonal populations are highly dynamic during treatment, with rapid shifts in abundance.
- Observed variations in resistance genotypes over time necessitate re-evaluation of antimalarial resistance study interpretations.