A Lung-chip microphysiological system to model SARS-CoV-2 infection and test novel therapeutics

  • Funded by National Institutes of Health (NIH)
  • Total publications:0 publications

Grant number: 3UG3NS105703-03S1

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2020
    2021
  • Known Financial Commitments (USD)

    $1,163,750
  • Funder

    National Institutes of Health (NIH)
  • Principal Investigator

    Clive Niels Svendsen
  • Research Location

    United States of America
  • Lead Research Institution

    Cedars-Sinai Medical Center
  • Research Priority Alignment

    N/A
  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Disease models

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

Project AbstractSARS-CoV-2 novel coronavirus has caused a pandemic, presenting us with an urgent need to develop newmodels to study the pathophysiology of infection and test innovative therapeutics to combat disease. Thisproposal aims to use chip-based microphysiological systems to establish a model of the human lung toinvestigate SARS-CoV-2 infection and test novel antisense oligonucleotide (ASO) therapies to reduce viralentry and replication. Using human primary and induced pluripotent stem cell (iPSC)-derived lung epithelium,we will generate both proximal and distal airway chip models, infect with live SARS-CoV-2, and test newlydesigned ASOs to target host cell components to prevent viral entry and conserved viral sequences to preventreplication. We have assembled an expert team of lung biologists, virologists, and pharmaceutical industrypartners to complement the iPSC and organ-chip technologies our lab has been developing over the past fiveyears. We feel that the approach presented in this proposal will yield rapid results by generating human-relevant models to better understand the pathological mechanisms of SARS-CoV-2 infection and test noveltherapeutic strategies currently in development by our pharmaceutical industry partner.