Improved models for analysis of T cell immunity against COVID-19

Grant number: 2020-03868

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2020
    2021
  • Known Financial Commitments (USD)

    $84,680
  • Funder

    Vinnova
  • Principal Investigator

    N/A

  • Research Location

    Sweden
  • Lead Research Institution

    Redoxis AB
  • Research Priority Alignment

    N/A
  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Diagnostics

  • Special Interest Tags

    N/A

  • Study Type

    Unspecified

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

Purpose and goal The purpose of this project is to validate the potential use of Cellevates technology as a platform for COVID-19 T cell immunity testing. The goal is to improve sensitivity and consequently reliability of current methods for analyzing this through the use of a proven more physiologically relevant platform technology. Expected results and effects If our hypothesis is correct and the model proves to be effective, it would give a truer understanding of the actual, levels of immunity in populations than conventional assays and provide a better ground for evaluation of novel vaccines and therapeutic interventions. The first beneficiary of this test model will be vaccine developers in clinical testing, to better determine whether a T cell response to their vaccine has been generated and whether that is adequate to provide protection from infection. Planned approach and implementation Redoxis will compare results from analysis of T cell immunity in traditional cell culture plates with results from cells grown in Cellevate´s 3D plates. Immunity both specifically to reported antigens in COVID-19 and more general antigens where an immunity should already be present in the population will be examined to evaluate whether using Cellevate´s platform can obtain better and more reliable data.