Identification of the dynamic transcripomic profile in patients with COVID-19 and acute respiratory distress syndrome (TRANSCOVID)

  • Funded by National Institute of Health Carlos III [El Instituto de Salud Carlos III] (ISCIII)
  • Total publications:2 publications

Grant number: COV20_00121

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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

    Jordi Carratalà Fernández
  • Research Location

    Spain
  • Lead Research Institution

    FUNDACIÇÿN INSTITUTO DE INVESTIGACIÇÿN BIOMEDICA DE BELLVITGE (FUNDACION IDIBELL)
  • Research Priority Alignment

    N/A
  • Research Category

    Clinical characterisation and management

  • Research Subcategory

    Prognostic factors for disease severity

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Adults (18 and older)

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

Although some clinical characteristics (advanced age, high fever, SOFA) and inflammatory response (IL-6, PC-R, D-dimer) have been described, the reasons why certain patients with COVID-19 develop severe disease, presenting dyspnea and hypoxemia in the first 7 days and rapid progression to ARDS, multiple organ failure and death, they still remain an enigma. The main objective of this project is to determine the dynamic transcriptomic profile of adult patients hospitalized for COVID-19 and to characterize the subgroup that develops severe disease (ARDS). Secondary objectives are to establish a gene signature capable of basal discrimination of the group that will develop ARDS and contribute to the phylogeny of the virus.

Publicationslinked via Europe PMC

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View all publications at Europe PMC

Metabolomic profile of severe COVID-19 and a signature predictive of progression towards severe disease status: a prospective cohort study (METCOVID).

Dynamics of Gene Expression Profiling and Identification of High-Risk Patients for Severe COVID-19.