Title Development of a Latex Agglutination Test for Norovirus Detection
Author Heetae Lee1, YoungBin Park1, Misoon Kim1, Youngmee Jee2, Doo-sung Cheon2, Hae Sook Jeong2, and GwangPyo Ko1,3*
Address 1Department of Environmental Health, Institute for Health and Environment, School of Public Health, Seoul National University, Seoul 151-742, Republic of Korea, 2Division of Enteric and Hepatitis Viruses, Center for Infectious Disease, Korea National Institute of Health, Korea Center for Disease Control and Prevention, Seoul 122-701, Republic of Korea, 3Institute for Microbiology, School of Life Science, Seoul National University, Seoul 110-799, Republic of Korea
Bibliography Journal of Microbiology, 48(4),419-425, 2010,
DOI
Key Words polyclonal antibody, latex agglutination test (LAT), norovirus, rapid detection, sensitivity, specificity
Abstract Norovirus (NoV) is the leading cause of acute gastroenteritis worldwide. Currently, reverse transcription polymerase chain reaction (RT-PCR) is used commonly to detect NoVs in both clinical and environmental samples. However, RT-PCR requires expensive equipment and cannot be performed on site. In this study, a latex agglutination test (LAT) using antibody-labeled latex beads for detecting NoVs was developed. Two kinds of polyclonal antibodies, one generated from synthetic peptides and the other from E. coli-expressed NoV capsid proteins, were used to develop the LAT. Each of these polyclonal antibodies was immobilized on the surface of latex beads and tested for the ability to detect NoVs. Under optimized conditions, our LAT detected GII.4 NoV at concentrations as low as 3.3×105 RT-PCR units/ml in stool samples. The detection limit for the LAT was approximately 1.7×103 RT-PCR units. Forty-eight stool samples were tested for NoVs using this LAT. In comparison with an RT-PCR assay, the sensitivity and specificity of the LAT were 35% and 100%, respectively. With further optimization, this LAT used with appropriate antibodies could be applied for convenient detection of NoVs in clinical diagnosis and food monitoring.