Human nose organoids for research of respiratory viruses and drug testing
2022
Baylor College of Medicine, Houston, USA
Airway organoids can serve as an ex vivo human airway model to study respiratory viral pathogenesis; however, they rely on invasive techniques to obtain patient samples. Here, the researchers report a noninvasive technique to generate human nose organoids (HNOs) as an alternative to biopsy-derived organoids. They made air-liquid interface (ALI) cultures from HNOs and assessed infection with two major human respiratory viruses, respiratory syncytial virus (RSV) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Infected HNO-ALI cultures recapitulate key aspects of RSV and SARS-CoV-2 infection. Next, the authors demonstrated the usefulness of the ex vivo HNO model of RSV infection to test the efficacy of palivizumab, an FDA-approved monoclonal antibody to prevent severe RSV disease in high-risk infants. Thus, the HNO-ALI model can serve as an alternative to lung organoids to study respiratory viruses and test therapeutics.
The human nose organoid respiratory virus model: an ex vivo human challenge model to study respiratory syncytial virus (RSV) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pathogenesis and evaluate therapeutics
Pedro A. Piedra
Added on: 06-09-2022
[1] https://journals.asm.org/doi/10.1128/mbio.03511-21[2] https://www.drugtargetreview.com/news/102942/nose-organoids-reveals-first-stages-of-sars-cov-2-and-respiratory-syncytial-virus-infection/?utm_source=Email+marketing&utm_medium=email&utm_campaign=DTR+-+Newsletter+19+-+Metabolon+-+12.05.2022&utm_term=Nose+organoids+reveals+first+stages+of+SARS-CoV-2+and+respiratory+syncytial+virus+infection&utm_content=https%3a%2f%2femails.drugtargetreview.com%2frussellpublishinglz%2f&gator_td=uBSFpRokDBZk5OGgcBqsZrAX%2fRyydx8u6ILTXcIBmWmpZwyGewmNR5Dhy4JnfhMdRTee7YThgDgOPor%2fWakaRL8JboilPNYYp9bWFlFdz2UUvldKhxguelgQEkqJIHe8OOznhLRIwMAWVkYN2UP%2fq%2fwjEr%2bAt7cbFE%2fijUX%2bG8BpMJt2Sdl2RZ6KNetDvkOk6x7T2MlSsXMPGghRiFexqdPgcjbYXapsl5MPIOWmBxI%3d
