Show simple item record

dc.contributor.authorManirakiza, Godfrey
dc.contributor.authorKassaza, Kennedy
dc.contributor.authorTaremwa, Ivan Mugisha
dc.contributor.authorBazira, Joel
dc.contributor.authorByarugaba, Fredrick
dc.date.accessioned2022-05-17T10:00:54Z
dc.date.available2022-05-17T10:00:54Z
dc.date.issued2022
dc.identifier.citationManirakiza, G., Kassaza, K., Taremwa, I. M., Bazira, J., & Byarugaba, F. (2022). Molecular identification and anti-malarial drug resistance profile of Plasmodium falciparum from patients attending Kisoro Hospital, southwestern Uganda. Malaria journal, 21(1), 1-10.en_US
dc.identifier.urihttp://ir.must.ac.ug/xmlui/handle/123456789/1941
dc.description.abstractBackground: The evolution of malaria infection has necessitated the development of highly sensitive diagnostic assays, as well as the use of dried blood spots (DBS) as a potential source of deoxyribonucleic acid (DNA) yield for polymerase chain reaction (PCR) assays. This study identified the different Plasmodium species in malaria-positive patients, and the anti-malarial drug resistance profile for Plasmodium falciparum using DBS samples collected from patients attending Kisoro Hospital in Kisoro district, Southwestern Uganda. Methods: The blood samples were prospectively collected from patients diagnosed with malaria to make DBS, which were then used to extract DNA for real-time PCR and high-resolution melting (HRM) analysis. Plasmodium species were identified by comparing the control and test samples using HRM-PCR derivative curves. Plasmodium falciparum chloroquine (CQ) resistance transporter (pfcrt) and kelch13 to screen the samples for anti-malarial resistance markers. The HRM-PCR derivative curve was used to present a summary distribution of the different Plasmodium species as well as the anti-malarial drug profile. Results: Of the 152 participants sampled, 98 (64.5%) were females. The average age of the participants was 34.9 years (range: 2 months–81 years). There were 134 samples that showed PCR amplification, confirming the species as Plasmodium. Plasmodium falciparum (N = 122), Plasmodium malariae (N = 6), Plasmodium ovale (N = 4), and Plasmodium vivax (N = 2) were the various Plasmodium species and their proportions. The results showed that 87 (71.3%) of the samples were sensitive strains/wild type (CVMNK), 4 (3.3%) were resistant haplotypes (SVMNT), and 31 (25.4%) were resistant haplotypes (CVIET). Kelch13 C580Y mutation was not detected. Conclusion: The community served by Kisoro hospital has a high Plasmodium species burden, according to this study. Plasmodium falciparum was the dominant species, and it has shown that resistance to chloroquine is decreasing in the region. Based on this, molecular identification of Plasmodium species is critical for better clinical management. Besides, DBS is an appropriate medium for DNA preservation and storage for future epidemiological studies.en_US
dc.language.isoen_USen_US
dc.publisherMalaria Journalen_US
dc.subjectDried blood spotsen_US
dc.subjectHigh-resolution melting analysisen_US
dc.subjectPlasmodium speciesen_US
dc.titleMolecular identification and anti‑malarial drug resistance profile of Plasmodium falciparum from patients attending Kisoro Hospital, southwestern Ugandaen_US
dc.typeArticleen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record