DiseaseX-Chip - Complex Bioengineered Airway- and Airway-Cardio-on-Chip Platforms for the Evaluation of Biologicals and Drugs Targeting SARS2

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Key facts

  • Disease

    COVID-19
  • start year

    2020
  • Funder

    Volkswagen Stiftung
  • Principal Investigator

    Dr-Ing and Dr and Prof Dr Daniela Duarte Campos, Anja Lena Thiebes, Mirko Trilling
  • Research Location

    Germany
  • Lead Research Institution

    Rheinisch-Westfälische Technische Hochschule Aachen
  • Research Priority Alignment

    N/A
  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Pathogen morphology, shedding & natural history

  • Special Interest Tags

    Innovation

  • 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

Numerous clinically relevant aspects of COVID-19 can be assessed neither in ordinary 2D cell culture nor in small animal experiments, constituting a main obstacle for drug development and therapy evaluation. This project will apply bioengineered human organ-on-chip platforms to recapitulate the complex interplay between host tissue and virus to understand the viral pathogenesis. The DiseaseX-Chip consortium will develop SARS2-infectable mini-chips using modern biomanufacturing technologies such as bioprinting and human multi-cellular 3D cultures resembling airways and blood vessels, to advance the understanding of SARS2's pathologies and to enable the fast discovery and on-site evaluation of new antiviral therapies, including biologicals such as convalescent plasma and neutralizing antibodies. These organ-chips shall predict the efficacy of new therapies with higher fidelity, lower costs, and higher throughput relative to state-of-the-art cell culture and/or small animal models. In addition to the immense value for current COVID-19 research, such organ-on-chip infection models would also be rapidly translatable to future diseases.