Search bioRxiv⌕ Search

Biology subjects

Ndwiga, L.

Publications and source records attributed to Ndwiga, L..

2 recordsLinked to original sources

Convenient screening for drug resistance mutations from historical febrile malaria samples across Kenya

BackgroundHistorically, chloroquine resistance emerged that was driven by mutations in the chloroquine resistance transporter (Pfcrt) gene. This led to the global withdrawal of chloroquine in 1998 and its subsequent replacement with sulfadoxine-pyrimethamine, whose efficacy was compromised by a high prevalence of mutations in the dihydrofolate reductase and the dihydropteroate synthase genes by 2004. Consequently, artemisinin-based combination therapies (ACTs) were introduced in 2006. Since then, thirteen mutations in the kelch 13 (Pfk13) propeller domain have emerged and validated by the World Health Organization (WHO) as markers of partial artemisinin resistance. This study aimed to characterize temporal trends in both established, Pfcrt and Pfk13 and less well-described potential markers, cysteine desulfurase (Pfnfs) and Pfcoronin, using febrile malaria samples collected across diverse regions of Kenya between 2013 and 2022. MethodsThe temporal trend of these markers of resistance were assessed by screening archived P. falciparum positive dried blood spots (DBS). A total of 1,750 DBS samples collected from Therapeutic Efficacy Studies (TES) conducted in: Kwale (2013, n=350), Kisumu (2015, n=314), Busia (2016, n=334), Kisii (2017, n=314), Kwale (2018, n=150), and a hrp2 study conducted Kisii (2022, n=288). Parasite genomic DNA was extracted using the Chelex-saponin method and confirmed by a Pf 18S RT-PCR. Pfk13, Pfcrt, Pfnfs and Pfcoronin PCR amplicons were sequenced using capillary electrophoresis, Illumina Miseq or the Oxford Nanopore (GridION) platform. ResultsThe prevalence of Pfcrt mutations declined over time and no WHO validated Pfk13 mutations associated with artemisinin resistance were detected. However, synonymous substitutions at WHO-validated codons C469C and P553P were identified. In the PfCoronin gene, non-synonymous mutations distinct from those reported in West Africa were observed at high frequencies (>75%). Notably, the Pfnfs-K65Q mutation, previously associated with reduced lumefantrine sensitivity in West Africa, was detected in over 80% of samples. Our findings reveal differences in some antimalarial resistance genetic markers between observations made in The Gambia and Senegal (West Africa) and Kilifi (East Africa). Based on the convenient sample set, there were no WHO validated k13 mutations up until 2022, suggesting continued ACT efficacy in Kenya. This study underscores the importance of continued molecular surveillance and suggests that resistance may evolve through different pathways in East compared to West Africa and Southeast Asia.

genomics↗

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

BackgroundGenotyping P. 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- microsatellite marker to provide background information on circulating genotypes before its applied to TES in Kenya. MethodologyDried 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- microsatellite was done by PCR, capillary electrophoresis and the fragment data analyzed using GeneMarker. ResultsAbout 96.7% 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, both regions had similar expected heterozygosity (He) (Busia = 0.92; Kilifi = 0.90) while Busia recorded a slightly higher number of effective alleles (Ne) (Busia = 10.8; Kilifi = 9.3). ConclusionThe poly- 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- in TES studies as a molecular correction tool and for the evaluation of the effectiveness of malaria interventions in Kenya.

genetics↗