COVID-19, immunological risk profile (attached to the project presented by the VHIR IP R Pujol-Borrell)

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

Grant number: COV20_00388

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Key facts

  • Disease

    COVID-19
  • Funder

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

    Aina Teniente Serra
  • Research Location

    Spain
  • Lead Research Institution

    IGTP (Instituto de Investigación Germans Trias i Pujol)
  • 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 in 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 scenarios in which this infection develops. Objective: To generate algorithms to stratify patients by immunological risk profile applicable to the analysis of clinical trials with ongoing or future immunomodulars and, specifically, to support therapeutic strategies. Modules 1) daily collection and analysis of inflammation, coagulation, immunology and microbiology parameters as well as biochemistry in relation to the origins of the samples and the demographic data of the patients, evolutionary follow-up and progressive assessment of the most predictive indices; 2) Measurement of the level of 18 cytokines and 32 lymphocyte populations in 120 patients; 3) Generation of prognostic and therapeutic orientation algorithm; 4) Identification of the activated response pathways. Support modules include generating sample collections, clinical data extraction, and statistical analysis.