論文

査読有り
2013年12月

Evaluation of Anti-A/Udorn/307/1972 Antibody Specificity to Influenza A/H3N2 Viruses Using an Evanescent-Field Coupled Waveguide-Mode Sensor

PLOS ONE
  • Subash C. B. Gopinath
  • ,
  • Koichi Awazu
  • ,
  • Makoto Fujimaki
  • ,
  • Kazufumi Shimizu

8
12
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1371/journal.pone.0081396
出版者・発行元
PUBLIC LIBRARY SCIENCE

Discrimination of closely related strains is a key issue, particularly for infectious diseases whose incidence fluctuates according to variations in the season and evolutionary changes. Among infectious diseases, influenza viral infections are a worldwide cause of pandemic disease and mortality. With the emergence of different influenza strains, it is vital to develop a method using antibodies that can differentiate between viral types and subtypes. Ideally, such a system would also be user friendly. In this study, a polyclonal antibody generated against A/Udorn/307/1972 (H3N2) was used as a probe to distinguish between influenza H3N2 viruses based on the interaction between the antibody and hemagglutinin, demonstrating its applicability for viral discrimination. Clear discrimination was demonstrated using an evanescent-field-coupled waveguide-mode sensor, which has appealing characteristics over other methods in the viewpoint of improving the sensitivity, measurement time, portability and usability. Further supporting evidence was obtained using enzyme-linked immunosorbent assays, hemagglutination-inhibition assays, and infectivity neutralization assays. The results obtained indicate that the polyclonal antibody used here is a potential probe for distinguishing influenza viruses and, with the aid of a handheld sensor it could be used for influenza surveillance.

リンク情報
DOI
https://doi.org/10.1371/journal.pone.0081396
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000328707400015&DestApp=WOS_CPL
URL
http://orcid.org/0000-0003-4856-422X
ID情報
  • DOI : 10.1371/journal.pone.0081396
  • ISSN : 1932-6203
  • ORCIDのPut Code : 45786973
  • Web of Science ID : WOS:000328707400015

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