Evidence map›Paper›PMID 41419894›Full record

ArticleMalaria journal2025

Characterizing Plasmodium falciparum genetic diversity and complexity of infections in clinical malaria infections in Western and Coastal Kenya using the poly-alpha microsatellite marker.

Nicole A Abade, Cavin Mgawe, Leonard Ndwiga, Kelvin M Kimenyi, Lynette Isabella Ochola-Oyier

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Article in Malaria journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 authors.

Nicole A AbadeKenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Kilifi, Kenya.
Cavin MgaweKenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Kilifi, Kenya.
Leonard NdwigaKenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Kilifi, Kenya.
Kelvin M KimenyiKenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Kilifi, Kenya. kmuteru@kemri-wellcome.org.
Lynette Isabella Ochola-OyierKenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Kilifi, Kenya.

Funding

Gates Foundation INV-036442
6 · The paper itself

Abstract

backgroundGenotyping Plasmodium falciparum polymorphic merozoite genes to describe parasite genetic diversity and the complexity of malaria infections (COI) is routinely used to assess the effectiveness of malaria control interventions. They are also utilized in anti-malarial drug therapeutic efficacy studies (TES) to differentiate recrudescent parasites from new infections. However, these polymorphic genes are usually under selection. Therefore, neutral microsatellite markers are preferred as they are also easier to genotype. The current study investigated the genetic diversity and COI using the poly-α microsatellite marker to provide background information on circulating genotypes before its applied to TES in Kenya.

methodsDried blood spot (DBS) samples were obtained from 93 participants from a TES in Busia County in 2016 and 92 participants from a malaria monitoring study conducted in Kilifi in 2020. Genotyping of the poly-α microsatellite was done by PCR, capillary electrophoresis and the fragment data analysed using GeneMarker.

resultsAbout 97% and 87% of the samples from Busia and Kilifi, respectively, were successfully genotyped. The infections in Busia were mainly polyclonal (80%) with a significantly higher mean COI of 2.9 (p < 0.0001), while those in Kilifi were mostly monoclonal (52.5%) with a mean COI of 1.7. Despite on average a younger population and lower parasite density in Busia, both regions had similar expected heterozygosity (He) (Busia = 0.92; Kilifi = 0.90) while Kilifi recorded a slightly lower number of effective alleles (Ne) (Kilifi = 9.3; Busia = 10.8).

conclusionsThe poly-α microsatellite genotyping revealed high genetic diversity of malaria parasites in Busia and Kilifi. These findings define the genotypes (fragment sizes) observed in the two Kenyan populations, providing a proof of concept for the utility of poly-α in TES studies as a molecular correction tool and for the evaluation of the effectiveness of malaria interventions in Kenya.

Indexed as

Genetic VariationMalaria, FalciparumMicrosatellite RepeatsPlasmodium falciparumAdolescentAdultChildChild, PreschoolFemaleGenotypeHumansInfantKenyaMaleMiddle AgedYoung AdultGenotypingMicrosatellitePoly-α

Identifiers

PMID41419894
PMCPMC12751268

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