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Min Suk Song

Min Suk Song

Chungbuk National University, South Korea

Title: Rapid detection of emerging infectious diseases using real-time colorimetric Reverse Transcriptional Loop-mediated Isothermal Amplification (RT-LAMP)

Biography

Biography: Min Suk Song

Abstract

Recent increased cases of human infection with emerging infectious viruses such as avian influenza virus (AIV), Middle East Respiratory Syndrome-Corona Virus (MERS-CoV), and Severe Fever with Thrombocytopenia Syndrome virus (SFTSV) are concerns of public health. We developed a simple and rapid detection system using Reverse Transcriptional Loop-mediated Isothermal Amplification (RT-LAMP) method for multiple emerging infectious viruses including MERS-CoV, SFTSV, and multiple influenza viruses infecting human (type B, H1N1, H3N2, H5N1, H5N6, H5N8, and H7N9). In addition, for more feasible application, the RT-LAMP method was optimized with real-time colorimetric visualization and portable diagnostic platform such as pocket warmer. The RT-LAMP detection system performed high sensitivity that can detect up to 0.1 infectious viral genome copies of the viruses within 60 min compared to the conventional RT-PCR based methods which usually take more than 120 min. Moreover, the test has no cross-reactivity with other human infectious viruses including JEV, Dengue, Enterovirus, Zika virus, human coronavirus 229E (229E), human Metapneumovirus (hMPV), human Respiratory Syncytial Virus (hRSV), and other subtypes of influenza viruses including H2, H4, H6, H9, H10, H11, and H12. Thus, this study suggests that our diagnostic assay may provide a rapid, sensitive, cost-effective, multiplex detection system for emerging infectious viruses that can play a crucial role in control of virus outbreak and contribute to the field diagnosis in resource-limited field settings.