LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Human Organoids and Organs‐on‐Chips for Addressing COVID‐19 Challenges

Photo from wikipedia

Coronavirus disease 2019 (COVID‐19), caused by severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), poses an imminent threat to our lives. Although animal models and monolayer cell cultures are utilized for… Click to show full abstract

Coronavirus disease 2019 (COVID‐19), caused by severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), poses an imminent threat to our lives. Although animal models and monolayer cell cultures are utilized for pathogenesis studies and the development of COVID‐19 therapeutics, models that can more accurately reflect human‐relevant responses to this novel virus are still lacking. Stem cell organoids and bioengineered organs‐on‐chips have emerged as two cutting‐edge technologies used to construct biomimetic in vitro three‐dimensional (3D) tissue or organ models. In this review, the key features of these two model systems that allow them to recapitulate organ physiology and function are introduced. The recent progress of these technologies for virology research is summarized and their utility in meeting the COVID‐19 pandemic is highlighted. Future opportunities and challenges in the development of advanced human organ models and their potential to accelerate translational applications to provide vaccines and therapies for COVID‐19 and other emerging epidemics are also discussed.

Keywords: organoids organs; human organoids; organs chips; covid; addressing covid; chips addressing

Journal Title: Advanced Science
Year Published: 2022

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.