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https://doi.org/10.1371/journal.pone.0175771
Title: | Four human Plasmodium species quantification using droplet digital PCR | Authors: | Srisutham S. Saralamba N. Malleret B. Rénia L. Dondorp A.M. Imwong M. |
Keywords: | genomic DNA RNA 18S emulsion protozoal DNA RNA 18S adult Article blood sampling blood volume Cambodia concentration (parameters) controlled study cost benefit analysis diagnostic accuracy diagnostic equipment diagnostic test accuracy study differential diagnosis droplet digital polymerase chain reaction duplex droplet digital polymerase chain reaction gene amplification human intermethod comparison limit of detection major clinical study malaria malaria falciparum mixed infection nonhuman parasite identification parasite load Plasmodium falciparum Plasmodium malariae Plasmodium malariae infection Plasmodium ovale Plasmodium ovale malaria Plasmodium vivax Plasmodium vivax malaria polymerase chain reaction quantitative analysis reverse transcription polymerase chain reaction sensitivity and specificity species identification adolescent emulsion female genetics isolation and purification malaria Malaria, Falciparum Malaria, Vivax male middle aged multiplex polymerase chain reaction parasitemia parasitology Plasmodium falciparum Plasmodium malariae Plasmodium ovale Plasmodium vivax procedures real time polymerase chain reaction Adolescent Adult Cambodia Diagnosis, Differential DNA, Protozoan Emulsions Female Humans Malaria Malaria, Falciparum Malaria, Vivax Male Middle Aged Multiplex Polymerase Chain Reaction Parasitemia Plasmodium falciparum Plasmodium malariae Plasmodium ovale Plasmodium vivax Real-Time Polymerase Chain Reaction RNA, Ribosomal, 18S Sensitivity and Specificity |
Issue Date: | 2017 | Publisher: | Public Library of Science | Citation: | Srisutham S., Saralamba N., Malleret B., Rénia L., Dondorp A.M., Imwong M. (2017). Four human Plasmodium species quantification using droplet digital PCR. PLoS ONE 12 (4) : e0175771. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0175771 | Abstract: | Droplet digital polymerase chain reaction (ddPCR) is a partial PCR based on water-oil emulsion droplet technology. It is a highly sensitive method for detecting and delineating minor alleles from complex backgrounds and provides absolute quantification of DNA targets. The ddPCR technology has been applied for detection of many pathogens. Here the sensitive assay utilizing ddPCR for detection and quantification of Plasmodium species was investigated. The assay was developed for two levels of detection, genus specific for all Plasmodium species and for specific Plasmodium species detection. The ddPCR assay was developed based on primers and probes specific to the Plasmodium genus 18S rRNA gene. Using ddPCR for ultra-sensitive P. falciparum assessment, the lower level of detection from concentrated DNA obtained from a high volume (1 mL) blood sample was 11 parasites/mL. For species identification, in particular for samples with mixed infections, a duplex reaction was developed for detection and quantification P. falciparum/ P. vivax and P. malariae/ P. ovale. Amplification of each Plasmodium species in the duplex reaction showed equal sensitivity to singleplex single species detection. The duplex ddPCR assay had higher sensitivity to identify minor species in 32 subpatent parasitaemia samples from Cambodia, and performed better than real-time PCR. The ddPCR assay shows high sensitivity to assess very low parasitaemia of all human Plasmodium species. This provides a useful research tool for studying the role of the asymptomatic parasite reservoir for transmission in regions aiming for malaria elimination. © 2017 Srisutham et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | Source Title: | PLoS ONE | URI: | https://scholarbank.nus.edu.sg/handle/10635/166012 | ISSN: | 19326203 | DOI: | 10.1371/journal.pone.0175771 |
Appears in Collections: | Elements Staff Publications |
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