A multiplexed immunoassay for detection of antibodies against avian influenza virus

Avian influenza (AI) is a highly contagious disease in poultry and outbreaks can have dramatic economic and health implications. For effective disease surveillance, rapid and sensitive assays are needed to detect antibodies against AI virus (AIV) proteins. In this study, we report the development of a multiplexed fluorescence microsphere immunoassay (FMIA) for detection of antibodies against AIV proteins in poultry. Recombinant nucleoprotein (NP), matrix protein (M1), and non-structural protein 1 (NS1) were expressed using a baculovirus expression system, purified and covalently coupled to fluorescent xMAP microspheres. Using these reagents, a triplex bead assay was developed for the Luminex platform. The assay displayed minimal cross reactivity when screened against a panel of reference sera raised against common avian viruses. For detection of anti-NP antibodies, the sensitivity and specificity of the assay were comparable to a commercially available ELISA. The assay was also employed to investigate the early kinetics of antibody response in chickens infected with AIV. Our results suggest that NP should be the protein of choice when detecting AI infections in commercial chickens, as the immune response was higher and persisted longer than that of M1 and NS1 proteins. This report provides a framework from which a more robust assay could be developed to profile exposure to many AIV subtypes in a single test.     

Automated extraction of avian influenza virus for rapid detection using real-time RT-PCR.

BACKGROUND: Highly pathogenic H5N1 avian influenza (AI) poses a grave risk to human health. An important aspect of influenza control is rapid diagnosis. OBJECTIVES: This study describes the efficiency of AI-RNA extraction utilizing silica-based magnetic beads with robotics and its detection with an influenza A matrix gene real-time RT-PCR from tracheal swabs, and compares it to virus isolation and manual spin column extractions. STUDY DESIGN: Analytical sensitivity was assessed by performing dilution analysis and detection of H2N2 AI viral RNA. Diagnostic sensitivity and specificity was assessed by analyzing tracheal swabs collected from H7N2 infected and uninfected chickens. RESULTS: Both manual and robotic extractions detected AI virus at 1log(10)EID(50)/ml. Diagnostic sensitivity and specificity of matrix gene detection with the automated extraction method for chicken tracheal swab specimens was similar to that of virus isolation and the manual extraction method. There were only three discordant results among 212 tested specimens. CONCLUSION: The main advantages of automated robotic viral nucleic acid extraction are high throughput processing; hands-free operation; and reduction in human and technical error. This study demonstrates successful detection of influenza A virus with magnetic beads utilizing the Qiagen MagAttract cell kit on a BioRobot M48 platform.