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Genetically Determined Response to Artemisinin Treatment in Western Kenyan Plasmodium falciparum Parasites
Author(s) -
Lorna J. Chebon,
Bidii S. Ngalah,
Luicer A. Ingasia,
Dennis W. Juma,
Peninah Muiruri,
Jelagat Cheruiyot,
Benjamin Opot,
Emmanuel Mbuba,
Mabel Imbuga,
Hoseah M. Akala,
Wallace Bulimo,
Ben Andagalu,
Edwin Kamau
Publication year - 2016
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0162524
Subject(s) - artemisinin , plasmodium falciparum , biology , malaria , single nucleotide polymorphism , genetic diversity , drug resistance , genetics , genotype , virology , immunology , gene , medicine , population , environmental health
Genetically determined artemisinin resistance in Plasmodium falciparum has been described in Southeast Asia. The relevance of recently described Kelch 13-propeller mutations for artemisinin resistance in Sub-Saharan Africa parasites is still unknown. Southeast Asia parasites have low genetic diversity compared to Sub-Saharan Africa, where parasites are highly genetically diverse. This study attempted to elucidate whether genetics provides a basis for discovering molecular markers in response to artemisinin drug treatment in P . falciparum in Kenya. The genetic diversity of parasites collected pre- and post- introduction of artemisinin combination therapy (ACT) in western Kenya was determined. A panel of 12 microsatellites and 91 single nucleotide polymorphisms (SNPs) distributed across the P . falciparum genome were genotyped. Parasite clearance rates were obtained for the post-ACT parasites. The 12 microsatellites were highly polymorphic with post-ACT parasites being significantly more diverse compared to pre-ACT (p < 0.0001). The median clearance half-life was 2.55 hours for the post-ACT parasites. Based on SNP analysis, 15 of 90 post-ACT parasites were single-clone infections. Analysis revealed 3 SNPs that might have some causal association with parasite clearance rates. Further, genetic analysis using Bayesian tree revealed parasites with similar clearance phenotypes were more closely genetically related. With further studies, SNPs described here and genetically determined response to artemisinin treatment might be useful in tracking artemisinin resistance in Kenya.

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