| Title |
Sequence variation in Plasmodium falciparum Histidine Rich Proteins 2 and 3 in Indian isolates: Implications for Malaria Rapid Diagnostic Test Performance
|
|---|---|
| Published in |
Scientific Reports, May 2017
|
| DOI | 10.1038/s41598-017-01506-9 |
| Pubmed ID | |
| Authors |
Praveen Kumar Bharti, Himanshu Singh Chandel, Sri Krishna, Shrikant Nema, Amreen Ahmad, Venkatachalam Udhayakumar, Neeru Singh |
| Abstract |
Commercial malaria rapid diagnostic tests (RDTs) detect P. falciparum histidine rich protein 2 (PfHRP2) and cross react with PfHRP3, a structural homologue. Here, we analysed natural variations in PfHRP2 and PfHRP3 sequences from Indian isolates and correlated these variations with RDT reactivity. A total 1392 P. falciparum positive samples collected from eight endemic states were PCR amplified for Pfhrp2 and Pfhrp3 genes and were sequenced. The deduced protein sequences were analysed for repeat variations and correlated with RDT reactivity. Out of 1392 PCR amplified samples, a single sample was Pfhrp2 negative and two samples were Pfhrp3 negative. Complete Pfhrp2 and Pfhrp3 sequences were obtained for 769 samples and 750 samples, respectively. A total of 16 distinct repeat motifs were observed for Pfhrp2 and 11 for Pfhrp3, including some new repeat types. No correlation was found between variations in the size of Pfhrp2 repeat types 2 and 7, nor between any combinations of repeat motifs, and performance of a commercial RDT at low parasite densities. The findings suggest that sequence diversity in Pfhrp2 and Pfhrp3 genes in Indian isolates is not likely to negatively influence performance of currently used PfHRP2 RDTs. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 22% |
| Researcher | 9 | 18% |
| Student > Ph. D. Student | 7 | 14% |
| Student > Bachelor | 5 | 10% |
| Student > Postgraduate | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 13 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 31% |
| Medicine and Dentistry | 9 | 18% |
| Immunology and Microbiology | 6 | 12% |
| Agricultural and Biological Sciences | 2 | 4% |
| Computer Science | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 14 | 27% |
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 12 September 2018.
All research outputs
#14,934,072
of 22,968,808 outputs
Outputs from Scientific Reports
#72,783
of 124,008 outputs
Outputs of similar age
#184,690
of 310,760 outputs
Outputs of similar age from Scientific Reports
#2,344
of 4,164 outputs
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