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Significant geographical differences in prevalence of mutations associated with Plasmodium falciparum and Plasmodiumvivax drug resistance in two regions from Papua New Guinea

Overview of attention for article published in Malaria Journal, October 2015
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  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

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Title
Significant geographical differences in prevalence of mutations associated with Plasmodium falciparum and Plasmodiumvivax drug resistance in two regions from Papua New Guinea
Published in
Malaria Journal, October 2015
DOI 10.1186/s12936-015-0879-9
Pubmed ID
Authors

Céline Barnadas, Lincoln Timinao, Sarah Javati, Jonah Iga, Elisheba Malau, Cristian Koepfli, Leanne J. Robinson, Nicolas Senn, Benson Kiniboro, Lawrence Rare, John C. Reeder, Peter M. Siba, Peter A. Zimmerman, Harin Karunajeewa, Timothy M. Davis, Ivo Mueller

Abstract

Drug resistance remains a major obstacle to malaria treatment and control. It can arise and spread rapidly, and vary substantially even at sub-national level. National malaria programmes require cost-effective and timely ways of characterizing drug-resistance at multiple sites within their countries. An improved multiplexed post-PCR ligase detection reaction-fluorescent microsphere assay (LDR-FMA) was used to simultaneously determine the presence of mutations in chloroquine resistance transporter (crt), multidrug resistance 1 (mdr1), dihydrofolate reductase (dhfr) and dihydropteroate synthase (dhps) genes in Plasmodium falciparum (n = 727) and Plasmodium vivax (n = 574) isolates collected in 2006 from cross-sectional community population surveys in two geographically distinct regions (Madang and East Sepik) of Papua New Guinea (PNG) where strong regional differences in in vivo aminoquinoline and antifolate therapeutic efficacy had previously been observed. Data were compared to those of a follow-up survey conducted in 2010. Despite some very low parasite densities, the assay successfully amplified all P. falciparum and P. vivax loci in 77 and 69 % of samples, respectively. In 2006, prevalences of pfdhfr (59R-108 N) double mutation/wild type pfdhps haplotype, pfcrt SVMNT haplotype (72S-76T double mutation), and 86Y pfmdr1 mutation all exceeded 90 %. For P. vivax, 65 % carried at least two pvdhfr mutations, 97 % the 647P pvdhps mutation and 54 % the 976F pvmdr1 mutation. Prevalence of mutant haplotypes was higher in Madang than East Sepik for pfcrt SVMNT (97.4 vs 83.3 %, p = 0.001), pfdhfr (59R-108 N) (100 vs 90.6 %, p = 0.001), pvdhfr haplotypes (75.8 vs 47.6 %, p = 0.001) and pvmdr1 976F (71.2 vs 26.2 %, p < 0.001). Data from a subsequent Madang survey in 2010 showed that the prevalence of pfdhps mutations increased significantly from <5 % to >30 % (p < 0.001) as did the prevalence of pvdhfr mutant haplotypes (from 75.8 to 97.4 %, p = 0.012). This LDR-FMA multiplex platform shows feasibility for low-cost, high-throughput, rapid characterization of a broad range of drug-resistance markers in low parasitaemia infections. Significant geographical differences in mutation prevalence correlate with previous genotyping surveys and in vivo trials and may reflect variable drug pressure and differences in health-care access in these two PNG populations.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 85 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 17%
Researcher 12 14%
Student > Ph. D. Student 12 14%
Unspecified 10 12%
Student > Bachelor 4 5%
Other 13 15%
Unknown 20 23%
Readers by discipline Count As %
Medicine and Dentistry 15 17%
Agricultural and Biological Sciences 11 13%
Unspecified 10 12%
Biochemistry, Genetics and Molecular Biology 7 8%
Immunology and Microbiology 7 8%
Other 12 14%
Unknown 24 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 11 October 2015.
All research outputs
#12,937,167
of 22,829,683 outputs
Outputs from Malaria Journal
#3,167
of 5,569 outputs
Outputs of similar age
#123,882
of 278,742 outputs
Outputs of similar age from Malaria Journal
#66
of 139 outputs
Altmetric has tracked 22,829,683 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,569 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 41st percentile – i.e., 41% 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 278,742 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.