Quoted from https://news.yahoo.co.jp/articles/ab556d8f5c8c949fc66df741cc8d7b1219fd4373
microRNA extracted from extracellular vesicles (EVs) derived from placental stem cells COVID- 19 (novel pneumonia ). A research team led by Moon Ji-sook, a professor of bioengineering at Cha College of Medicine, announced on the 10th that they compared the dielectric sequence information of 95 types of coronaviruses analyzed around the world and confirmed that the sequences of the terminal gene of the messenger ribonucleic acid (mRNA), called the 3'UTR (Translation Region), in the dielectric of mutated coronavirus RNA are similar. According to the research, even when coronaviruses mutate, the 3'UTR remains almost unchanged. This means that if a therapeutic drug that inhibits this region can be developed, mutated coronaviruses can also be treated. Professor Moon's team isolated extracellular vesicles from placental stem cells and placental by-products and analyzed molecular data, and confirmed that five of the 84 microRNAs present in the extracellular vesicles bind to the 3'UTR of coronaviruses and inhibit viral expression. Furthermore, microRNAs have anti-inflammatory properties, helping to prevent the cytokine storm, an excessive immune response that occurs in severe COVID-19 patients. Cytokines play a key role in triggering an immune response when a virus invades, but excessive secretion can cause severe damage to the lungs and other organs, potentially leading to death. Professor Moon said, "By utilizing the therapeutic effects of extracellular vesicles extracted from placental stem cells, we can develop vaccines and treatments that can preemptively respond not only to the coronavirus but also to similar RNA viruses." The research was conducted by a research team led by Professor Moon Ji-sook of the Department of Bioengineering at Cha Medical University (Park Jae-hyun, Choi Yu-ri, PhD student, Lim Cheol , Integrated Studies professor, and Park Ji-min, research professor) as part of the "Development of Stem Cell Application Fusion Platform Technology" project, with support from the Ministry of Science and ICT and the Korea Research Foundation. The results of the research were published on BioArchive

















