Development of dual-function ELISA for effective antigen and antibody detection against H7 avian influenza virusReport as inadecuate




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BMC Microbiology

, 13:219

Clinical microbiology and vaccines

Abstract

BackgroundOutbreaks in poultry involving influenza virus from H7 subtype have resulted in human infections, thus causing a major concern for public health, as well as for the poultry industry. Currently, no efficient rapid test is available for large-scale detection of either antigen or antibody of H7 avian influenza viruses.

ResultsIn the present study, a dual function ELISA was developed for the effective detection of antigen and antibody against H7 AIVs. The test was established based on antigen-capture-ELISA and epitope blocking ELISA. The two Mabs 62 and 98 which were exploited in the assay were identified to recognize two conformational neutralizing epitopes on H7 HA1. Both of the epitopes exist in all of the human H7 strains, including the recent H7N9 strain from China and > 96.6% of avian H7 strains. The dual ELISA was able to detect all of the five H7 antigens tested without any cross reaction to other influenza subtypes. The antigen detection limit was less than 1 HA unit of H7. For antibody detection, the sensitivity and specificity of the dual ELISA was evaluated and compared to HI and microneutralization using immunized animal sera to different H7 strains and different subtypes of AIVs. Results indicated that antibodies to H7 were readily detected in immunized animal sera by the dual ELISA whereas specimens with antibodies to other AIVs yielded negative results.

ConclusionsThis is the first dual-function ELISA reported for either antigen or antibody detection against H7 AIVs. The assay was highly sensitive and 100% specific in both functions rendering it effective for H7 diagnosis.

KeywordsH7 AIV Dual function ELISA Surveillance in poultry Electronic supplementary materialThe online version of this article doi:10.1186-1471-2180-13-219 contains supplementary material, which is available to authorized users.

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Author: Fang He - Mookkan Prabakaran - Yunrui Tan - Kartigayen Indira - Subaschandrabose Rajesh Kumar - Jimmy Kwang

Source: https://link.springer.com/







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