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      Multiple Single-Nucleotide Polymorphism Detection for Antimalarial Pyrimethamine Resistance via Allele-Specific PCR Coupled with Gold Nanoparticle-Based Lateral Flow Biosensor

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          Abstract

          Molecular genotyping holds tremendous potential to detect antimalarial drug resistance (ADR) related to single nucleotide polymorphisms (SNPs). However, it relies on the use of complicated procedures and expensive instruments.

          ABSTRACT

          Molecular genotyping holds tremendous potential to detect antimalarial drug resistance (ADR) related to single nucleotide polymorphisms (SNPs). However, it relies on the use of complicated procedures and expensive instruments. Thus, rapid point-of-care testing (POCT) molecular tools are urgently needed for field survey and clinical use. Herein, a POCT platform consisting of multiple-allele-specific PCR (AS-PCR) and a gold nanoparticle (AuNP)-based lateral flow biosensor was designed and developed for SNP detection of the Plasmodium falciparum dihydrofolate reductase ( pfdhfr ) gene related to pyrimethamine resistance. The multiple-AS-PCR utilized 3′ terminal artificial antepenultimate mismatch and double phosphorothioate-modified allele-specific primers. The duplex PCR amplicons with 5′ terminal labeled with biotin and digoxin are recognized by streptavidin (SA)-AuNPs on the conjugate pad and then captured by anti-digoxin antibody through immunoreactions on the test line to produce a golden red line for detection. The system was applied to analyze SNPs in Pfdhfr N51I, C59R, and S108N of 98 clinical isolates from uncomplicated P. falciparum malaria patients. Compared with the results from nested PCR followed by Sanger DNA sequencing, the sensitivity was 97.96% (96/98) for N51I, C59R, and S108N. For specificity, the values were 100% (98/98), 95.92% (94/98), and 100% (98/98) for N51I, C59R, and S108N, respectively. The limit of detection is approximately 200 fg/μl for plasmid DNA as the template and 100 parasites/μl for blood filter paper. The established platform not only offers a powerful tool for molecular surveillance of ADR but also is easily extended to interrelated SNP profiles for infectious diseases and genetic diseases.

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          Most cited references35

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          Genome sequence of the human malaria parasite Plasmodium falciparum.

          The parasite Plasmodium falciparum is responsible for hundreds of millions of cases of malaria, and kills more than one million African children annually. Here we report an analysis of the genome sequence of P. falciparum clone 3D7. The 23-megabase nuclear genome consists of 14 chromosomes, encodes about 5,300 genes, and is the most (A + T)-rich genome sequenced to date. Genes involved in antigenic variation are concentrated in the subtelomeric regions of the chromosomes. Compared to the genomes of free-living eukaryotic microbes, the genome of this intracellular parasite encodes fewer enzymes and transporters, but a large proportion of genes are devoted to immune evasion and host-parasite interactions. Many nuclear-encoded proteins are targeted to the apicoplast, an organelle involved in fatty-acid and isoprenoid metabolism. The genome sequence provides the foundation for future studies of this organism, and is being exploited in the search for new drugs and vaccines to fight malaria.
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            Nanoparticle-based lateral flow biosensors.

            Lateral flow biosensors (LFBs) are paper-based devices which permit the performance of low-cost and fast diagnostics with good robustness, specificity, sensitivity and low limits of detection. The use of nanoparticles (NPs) as labels play an important role in the design and fabrication of a lateral flow strip (LFS). The choice of NPs and the corresponding detection method directly affect the performance of these devices. This review discusses aspects related to the application of different nanomaterials (e.g. gold nanoparticles, carbon nanotubes, quantum dots, up-converting phosphor technologies, and latex beads, between others) in LFBs. Moreover, different detection methods (colorimetric, fluorescent, electrochemical, magnetic, etc.) and signal enhancement strategies (affording secondary reactions or modifying the architecture of the LFS) as well as the use of devices such as smartphones to mediate the response of LFSs will be analyzed.
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              Plasmodium falciparum: detection of polymorphisms in the dihydrofolate reductase and dihydropteroate synthetase genes by PCR and restriction digestion.

              With the spread of resistance to chloroquine, the combination of sulphadoxine and pyrimethamine is growing in importance for the treatment of infection with the malaria parasite Plasmodium falciparum. Mutations in the dhfr gene of P. falciparum have been associated with resistance to pyrimethamine. Recently, several polymorphisms have been identified in the P. falciparum dhps gene which may correlate with sulphadoxine-resistance. Simple and rapid tests have been developed to detect these polymorphisms, using PCR followed by restriction digestion. These tests can accurately identify all the polymorphisms described to date at codons 16, 51, 59, 108, and 164 in the dhfr gene and those at codons 436, 437, 540, 581, and 613 in the dhps gene. A nested system has been developed which allows the accurate detection of these polymorphisms in samples of fingerprick blood collected on glass fiber membranes and filter papers, some with very low parasitaemias.
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                Author and article information

                Contributors
                Journal
                Antimicrobial Agents and Chemotherapy
                Antimicrob Agents Chemother
                American Society for Microbiology
                0066-4804
                1098-6596
                February 17 2021
                February 17 2021
                : 65
                : 3
                Affiliations
                [1 ]Department of Human Parasitology, School of Basic Medical Sciences, Hubei University of Medicine, Shiyan, China
                [2 ]Department of Infectious Diseases, Renmin Hospital, Hubei University of Medicine, Shiyan, China
                [3 ]Beijing Key Laboratory for Bioengineering and Sensing Technology, Research Centre for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science & Technology, Beijing, China
                [4 ]Department of Schistosomiasis and Endemic Diseases, Wuhan City Center for Disease Prevention and Control, Wuhan, China
                Article
                10.1128/AAC.01063-20
                b476e636-542c-4d40-8049-5588e898c7c6
                © 2021

                https://journals.asm.org/non-commercial-tdm-license

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