Literature DB >> 24430459

Sequence-based optimization of a quantitative real-time PCR assay for detection of Plasmodium ovale and Plasmodium malariae.

Melissa Phuong1, Rachel Lau, Filip Ralevski, Andrea K Boggild.   

Abstract

Although microscopic examination of Giemsa-stained blood smears remains the gold standard for the diagnosis of malaria, molecular detection using PCR is becoming increasingly popular. Due to discrepant PCR and microscopy results, we aimed to optimize our detection assays for Plasmodium malariae and Plasmodium ovale by sequencing the 18S rRNA region and developing a new primer and probe set for real-time quantitative PCR (qPCR). Clinical specimens positive for P. malariae (n = 15) or P. ovale (n = 33) underwent amplification and sequencing of the 18S rRNA region. Based on sequence discrepancies between our current primer/probe and clinical isolates, degenerate P. ovale primer and probe were developed to determine if their performance characteristics improved. The reference (gold) standard was microscopy. No 18S sequence heterogeneity was observed among the P. malariae isolates, and the sensitivity and specificity of our current P. malariae qPCR assay were both 100%. Compared to microscopy, the sensitivity and specificity of our current P. ovale qPCR assay were 72.7% and 100%, respectively. Five single nucleotide polymorphisms (SNPs) were identified in P. ovale. The sensitivity of the new P. ovale assay increased to 100% with 100% specificity. We therefore improved the performance characteristics of our P. ovale molecular detection assay through the development of a degenerate primer and probe set which accommodates 18S SNPs among the 2 subspecies of P. ovale. Given the suboptimal sensitivity of rapid diagnostic tests for non-falciparum malaria and the typically low parasitemia of P. malariae and P. ovale, a well-performing confirmatory molecular assay is imperative for clinical laboratories.

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Year:  2014        PMID: 24430459      PMCID: PMC3993485          DOI: 10.1128/JCM.03477-13

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


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