Researchers from the Medical College of Wisconsin, the Children’s Research Institute, and the Children’s Hospital of Wisconsin have developed a quick, automated system which can differentiate between various strains of influenza. A group led by Dr. Kelly J. Henrickson of the Medical College of Wisconsin have developed rapid semi- and fully-automated multiplex real-time RT-PCR assays to detect influenza A, influenza B, and respiratory syncytial virus (RSV). These assays can successfully detect human H1N1, H3N2, and swine-origin H1N1 viruses as well as distinguish these from influenza B and RSV infections. These assays are highly efficient in that they could test large numbers of samples over a very short time, allowing for a significant decrease in both technician and assay time. In pandemic infection, such as the present H1N1 influenza outbreak, rapid automated tests are needed in order to make quick and effective public health decisions. Real-time reverse transcriptase polymerase chain reaction (real-time RT-PCR) is a sensitive and specific method for identifying flu substrains; however, technician and assay time are significantly longer than less accurate rapid influenza diagnostic tests.
Beck et al suggest that “this outbreak demonstrates the importance of having rapid, reliable, sensitive, and specific assays that allow clinicians and public health officials to react quickly and effectively during viral outbreaks.” The work appears in the January 2010 issue of the Journal of Molecular Diagnostics
