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Prevalence of K13-propeller polymorphisms in Plasmodium falciparum from China-Myanmar border in 2007–2012

Overview of attention for article published in Malaria Journal, April 2015
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Title
Prevalence of K13-propeller polymorphisms in Plasmodium falciparum from China-Myanmar border in 2007–2012
Published in
Malaria Journal, April 2015
DOI 10.1186/s12936-015-0672-9
Pubmed ID
Authors

Zenglei Wang, Sony Shrestha, Xiaolian Li, Jun Miao, Lili Yuan, Mynthia Cabrera, Caitlin Grube, Zhaoqing Yang, Liwang Cui

Abstract

The recent emergence and spread of artemisinin resistance in the Greater Mekong Subregion poses a great threat to malaria control and elimination. A K13-propeller gene (K13), PF3D7_1343700, has been associated lately with artemisinin resistance both in vitro and in vivo. This study aimed to investigate the K13 polymorphisms in Plasmodium falciparum parasites from the China-Myanmar border area where artemisinin use has the longest history. A total of 180 archived P. falciparum isolates containing 191 parasite clones, mainly collected in 2007-2012 from the China-Myanmar area, were used to obtain the full-length K13 gene sequences. Seventeen point mutations were identified in 46.1% (88/191) parasite clones, of which seven were new. The F446I mutation predominated in 27.2% of the parasite clones. The C580Y mutation that is correlated with artemisinin resistance was detected at a low frequency of 1.6%. Collectively, 43.1% of the parasite clones contained point mutations in the kelch domain of the K13 gene. Moreover, there was a trend of increase in the frequency of parasites carrying kelch domain mutations through the years of sample collection. In addition, a microsatellite variation in the N-terminus of the K13 protein was found to have reached a high frequency (69.1%). This study documented the presence of mutations in the K13 gene in parasite populations from the China-Myanmar border. Mutations present in the kelch domain have become prevalent (>40%). A predominant mutation F446I and a prevalent microsatellite variation in the N-terminus were identified, but their importance in artemisinin resistance remains to be elucidated.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Burkina Faso 1 <1%
Kenya 1 <1%
Tanzania, United Republic of 1 <1%
Unknown 97 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 22%
Student > Master 22 22%
Researcher 17 17%
Student > Bachelor 13 13%
Student > Doctoral Student 5 5%
Other 16 16%
Unknown 7 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 30%
Biochemistry, Genetics and Molecular Biology 21 21%
Medicine and Dentistry 17 17%
Chemistry 4 4%
Engineering 4 4%
Other 14 14%
Unknown 11 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 May 2015.
All research outputs
#11,670,707
of 19,208,681 outputs
Outputs from Malaria Journal
#3,492
of 5,074 outputs
Outputs of similar age
#118,298
of 239,092 outputs
Outputs of similar age from Malaria Journal
#1
of 1 outputs
Altmetric has tracked 19,208,681 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,074 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 30th percentile – i.e., 30% 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 239,092 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 50% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them