COVID-19, IMMUNE RISK PROFILE

  • Funded by National Institute of Health Carlos III [El Instituto de Salud Carlos III] (ISCIII)
  • Total publications:0 publications

Grant number: COV20_00416

Grant search

Key facts

  • Disease

    COVID-19
  • Funder

    National Institute of Health Carlos III [El Instituto de Salud Carlos III] (ISCIII)
  • Principal Investigator

    Ricardo Pujol Borrell
  • Research Location

    Spain
  • Lead Research Institution

    VHIR-HUVH (INSTITUTO DE INVESTIGACION HOSPITAL UNIVERSITARI VALL D'HEBRON)
  • Research Priority Alignment

    N/A
  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Immunity

  • Special Interest Tags

    N/A

  • Study Type

    Clinical

  • Clinical Trial Details

    Not applicable

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

At present, it is not known whether the minority of COVID-19 cases that evolve poorly are due to an excess or a defect of the innate or adaptive immune response or to joint dysregulation. There are tools not yet applied to be able to discern between the various immunological / virological scenarios in which this infection develops. Objective: To generate algorithms / indices to stratify patients by immunological / virological risk profile applicable to the analysis of clinical trials with ongoing or future immunomodulars. Methods: 1) Capture and daily analysis of inflammation, coagulation, immunology and microbiology parameters as well as general analysis in relation to the origins of the samples, demographic data and clinical evolution; 2) Measurement in 120 patients of the level of 16 cytokines and 32 lymphocyte populations for: 3) the generation of prognostic and therapeutic orientation algorithms from 2; 4) Detailed identification through Nanostring® transcriptomics of the activated immune response pathways in 40 patients and thus confirm / improve the algorithm generated in 3. Support modules: 5) sample collections, 6) extraction of clinical data, 7) Bioinformatic analysis and biostatistics and 8) Communication / dissemination.