COVID-19 trilogy: ARDS, inflammation and coagulopathy.

  • Funded by Canadian Institutes of Health Research (CIHR)
  • Total publications:1 publications

Grant number: 172632

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2020
    2020
  • Known Financial Commitments (USD)

    $169,968.75
  • Funder

    Canadian Institutes of Health Research (CIHR)
  • Principal Investigator

    Pending
  • Research Location

    Canada
  • Lead Research Institution

    CHU de Québec
  • Research Priority Alignment

    N/A
  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Immunity

  • Special Interest Tags

    N/A

  • 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

The current SARS-CoV-2 epidemic has taken the world by surprise at the end of 2019. TH virus is highly transmittable and causes severe infections mostly in elderly and people with comorbidities such as diabetes, high blood pressure and cardia disease. The most evident medical complication initially reported and associate with the infection is acute respiratory disease syndrome (ARDS). Recent data clearly indicates that in addition to the lungs, other organs such as the heart and kidneys are affected by the infection. One common finding is the presence of blood clots in veins and arterioles of patients, pointing out to a deregulated coagulation process. In addition to study the inflammation during SARS-CoV-2 infection, our goal is to understand why such blot clots are formed. We will be using different mouse models to address how platelets may get activated and from undersized blood clots. Lastly, we will explore the potential benefits of administrating anti-platelet and anti-coagulant drugs to mice in oder to protect them from the disease.

Publicationslinked via Europe PMC

A Critical Comparison of Comparators Used to Demonstrate Credibility of Physics-Based Numerical Spine Models.