Arch-shaped multiple-target sensing for rapid diagnosis and identification of emerging infectious pathogens
Identifieur interne : 000A62 ( Main/Exploration ); précédent : 000A61; suivant : 000A63Arch-shaped multiple-target sensing for rapid diagnosis and identification of emerging infectious pathogens
Auteurs : Bonhan Koo [Corée du Sud] ; Ki Ho Hong [Corée du Sud] ; Choong Eun Jin [Corée du Sud] ; Ji Yeun Kim [Corée du Sud] ; Sung-Han Kim [Corée du Sud] ; Yong Shin [Corée du Sud]Source :
- Biosensors & Bioelectronics [ 0956-5663 ] ; 2018.
Abstract
Rapid identification of emerging infectious pathogens is crucial for preventing public health threats. Various pathogen detection techniques have been introduced; however, most techniques are time-consuming and lack multiple-target detection specificity. Although multiple-target detection techniques can distinguish emerging infectious pathogens from related pathogens, direct amplification methods have not been widely examined. Here, we present a novel arch-shaped multiple-target sensor capable of rapid pathogen identification using direct amplification in clinical samples. In this study, an arch-shaped amplification containing primer sequences was designed to rapidly amplify multiple targets. Further, the sensing platform allowed for sensitive and specific detection of human coronavirus, Middle East respiratory syndrome, Zika virus, and Ebola virus down to several copies. This platform also simultaneously distinguished between Middle East respiratory syndrome and human coronavirus in clinical specimens within 20 min. This arch-shaped multiple-target sensing assay can provide rapid, sensitive, and accurate diagnoses of emerging infectious diseases in clinical applications.
Url:
DOI: 10.1016/j.bios.2018.08.007
PubMed: 30103157
PubMed Central: 7126750
Affiliations:
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pathogens</title><author><name sortKey="Koo, Bonhan" sort="Koo, Bonhan" uniqKey="Koo B" first="Bonhan" last="Koo">Bonhan Koo</name><affiliation wicri:level="3"><nlm:aff id="aff0005">Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Biomedical Engineering Research Center, Asan Institute of Life Sciences, Asan Medical Center, 88 Olympicro-43gil, Songpa-gu, Seoul, Republic of Korea</nlm:aff><country xml:lang="fr">Corée du Sud</country><wicri:regionArea>Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Biomedical Engineering Research Center, Asan Institute of Life Sciences, Asan Medical Center, 88 Olympicro-43gil, Songpa-gu, Seoul</wicri:regionArea><placeName><settlement type="city">Séoul</settlement><region type="capital">Région capitale de Séoul</region></placeName></affiliation></author><author><name sortKey="Hong, Ki Ho" sort="Hong, Ki Ho" uniqKey="Hong K" first="Ki Ho" last="Hong">Ki Ho Hong</name><affiliation wicri:level="3"><nlm:aff id="aff0010">Department of Laboratory Medicine, Seoul Medical Center, Seoul, Republic of Korea</nlm:aff><country xml:lang="fr">Corée du Sud</country><wicri:regionArea>Department of Laboratory Medicine, Seoul Medical Center, Seoul</wicri:regionArea><placeName><settlement type="city">Séoul</settlement><region type="capital">Région capitale de Séoul</region></placeName></affiliation></author><author><name sortKey="Jin, Choong Eun" sort="Jin, Choong Eun" uniqKey="Jin C" first="Choong Eun" last="Jin">Choong Eun Jin</name><affiliation wicri:level="3"><nlm:aff id="aff0005">Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Biomedical Engineering Research Center, Asan Institute of Life Sciences, Asan Medical Center, 88 Olympicro-43gil, Songpa-gu, Seoul, Republic of Korea</nlm:aff><country xml:lang="fr">Corée du Sud</country><wicri:regionArea>Department of Convergence Medicine, Asan Medical Center, 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sort="Kim, Sung Han" uniqKey="Kim S" first="Sung-Han" last="Kim">Sung-Han Kim</name><affiliation wicri:level="3"><nlm:aff id="aff0015">Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea</nlm:aff><country xml:lang="fr">Corée du Sud</country><wicri:regionArea>Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul</wicri:regionArea><placeName><settlement type="city">Séoul</settlement><region type="capital">Région capitale de Séoul</region></placeName></affiliation></author><author><name sortKey="Shin, Yong" sort="Shin, Yong" uniqKey="Shin Y" first="Yong" last="Shin">Yong Shin</name><affiliation wicri:level="3"><nlm:aff id="aff0005">Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Biomedical Engineering Research Center, Asan Institute of Life Sciences, Asan Medical Center, 88 Olympicro-43gil, Songpa-gu, Seoul, Republic of Korea</nlm:aff><country xml:lang="fr">Corée du Sud</country><wicri:regionArea>Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Biomedical Engineering Research Center, Asan Institute of Life Sciences, Asan Medical Center, 88 Olympicro-43gil, Songpa-gu, Seoul</wicri:regionArea><placeName><settlement type="city">Séoul</settlement><region type="capital">Région capitale de Séoul</region></placeName></affiliation></author></analytic><series><title level="j">Biosensors & Bioelectronics</title><idno type="ISSN">0956-5663</idno><idno type="eISSN">1873-4235</idno><imprint><date when="2018">2018</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>Rapid identification of emerging infectious pathogens is crucial for preventing public health threats. Various pathogen detection techniques have been introduced; however, most techniques are time-consuming and lack multiple-target detection specificity. Although multiple-target detection techniques can distinguish emerging infectious pathogens from related pathogens, direct amplification methods have not been widely examined. Here, we present a novel arch-shaped multiple-target sensor capable of rapid pathogen identification using direct amplification in clinical samples. In this study, an arch-shaped amplification containing primer sequences was designed to rapidly amplify multiple targets. Further, the sensing platform allowed for sensitive and specific detection of human coronavirus, Middle East respiratory syndrome, Zika virus, and Ebola virus down to several copies. This platform also simultaneously distinguished between Middle East respiratory syndrome and human coronavirus in clinical specimens within 20 min. 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Perlman</name></author></analytic></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>Corée du Sud</li></country><region><li>Région capitale de Séoul</li></region><settlement><li>Séoul</li></settlement></list><tree><country name="Corée du Sud"><region name="Région capitale de Séoul"><name sortKey="Koo, Bonhan" sort="Koo, Bonhan" uniqKey="Koo B" first="Bonhan" last="Koo">Bonhan Koo</name></region><name sortKey="Hong, Ki Ho" sort="Hong, Ki Ho" uniqKey="Hong K" first="Ki Ho" last="Hong">Ki Ho Hong</name><name sortKey="Jin, Choong Eun" sort="Jin, Choong Eun" uniqKey="Jin C" first="Choong Eun" last="Jin">Choong Eun Jin</name><name sortKey="Kim, Ji Yeun" sort="Kim, Ji Yeun" uniqKey="Kim J" first="Ji Yeun" last="Kim">Ji Yeun Kim</name><name sortKey="Kim, Sung Han" sort="Kim, Sung Han" uniqKey="Kim S" first="Sung-Han" last="Kim">Sung-Han Kim</name><name sortKey="Shin, Yong" sort="Shin, Yong" uniqKey="Shin Y" first="Yong" last="Shin">Yong Shin</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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