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Human malaria diagnosis using a single-step direct-PCR based on the Plasmodium cytochrome oxidase III gene

Overview of attention for article published in Malaria Journal, February 2016
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Title
Human malaria diagnosis using a single-step direct-PCR based on the Plasmodium cytochrome oxidase III gene
Published in
Malaria Journal, February 2016
DOI 10.1186/s12936-016-1185-x
Pubmed ID
Authors

Diego F. Echeverry, Nicholas A. Deason, Jenna Davidson, Victoria Makuru, Honglin Xiao, Julie Niedbalski, Marcia Kern, Tanya L. Russell, Thomas R. Burkot, Frank H. Collins, Neil F. Lobo

Abstract

Nested PCRs based on the Plasmodium 18s-rRNA gene have been extensively used for human malaria diagnosis. However, they are not practical when large quantities of samples need to be processed, further there have been challenges in the performance and when interpreting results, especially when submicroscopic infections are analysed. Here the use of "direct PCR" was investigated with the aim of improving diagnosis in the malaria elimination era. The performance of the Plasmodium cytochrome oxidase III gene (COX-III) based novel malaria detection strategies (direct nested PCR and direct single PCR) were compared using a 18s-rRNA direct nested PCR as a reference tool. Evaluations were based on sensitivity, specificity and the ability to detect mixed infections using control blood spot samples and field collected blood samples with final species diagnosis confirmation by sequencing. The COX-III direct PCR (limit of detection: 0.6-2 parasites/μL) was more sensitive than the 18s-rRNA direct nested PCR (limit of detection: 2-10 parasites/μL). The COX-III direct PCR identified all 21 positive controls (no mixed infections detected) while the 18s-rRNA direct nested PCR identified 18/21 (including four mixed infections). Different concentrations of simulated mixed infections (Plasmodium vivax and Plasmodium falciparum) suggest that the COX-III direct PCR detects only the predominant species. When the 18s-rRNA direct nested PCR was used to detect Plasmodium in field collected bloods spots (n = 3833), there was discrepancy in the results from the genus PCR (16 % positive) and the species-specific PCR (5 % positive). Further, a large portion of a subset of these positive samples (93 % for genus and 60 % for P. vivax), did not align with Plasmodium sequences. In contrast, the COX-III direct PCR clearly identified (single bands confirmed with sequencing) 2 % positive Plasmodium samples including P. vivax, P. falciparum, Plasmodium malariae and Plasmodium ovale wallikeri. The COX-III single direct PCR is an alternative method for accurate detection of Plasmodium microscopic and submicroscopic infections in humans, especially when a large number of samples require screening. This PCR does not require DNA isolation, is sensitive, quick, produces confident/clear results, identifies all the Plasmodium species infecting humans, and is cost-effective.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 139 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 33 24%
Researcher 17 12%
Student > Ph. D. Student 14 10%
Student > Bachelor 12 9%
Student > Postgraduate 8 6%
Other 26 19%
Unknown 29 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 19%
Medicine and Dentistry 24 17%
Agricultural and Biological Sciences 21 15%
Immunology and Microbiology 10 7%
Engineering 7 5%
Other 18 13%
Unknown 33 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 March 2016.
All research outputs
#20,311,744
of 22,852,911 outputs
Outputs from Malaria Journal
#5,334
of 5,573 outputs
Outputs of similar age
#251,307
of 297,594 outputs
Outputs of similar age from Malaria Journal
#179
of 187 outputs
Altmetric has tracked 22,852,911 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,573 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 297,594 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 187 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.