DFU Clinical Research Unit

  • Funded by National Institutes of Health (NIH)
  • Total publications:0 publications

Grant number: 3U01DK119083-03S1

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2018
    2022
  • Known Financial Commitments (USD)

    $388,652
  • Funder

    National Institutes of Health (NIH)
  • Principal Investigator

    Rodica Busui (Pop-Busui)
  • Research Location

    United States of America
  • Lead Research Institution

    University Of Michigan At Ann Arbor
  • 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

    Clinical

  • Clinical Trial Details

    Unspecified

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

Abstract: The ongoing COVID-19 pandemic disproportionately affects type 2 diabetes (T2D) patients, who are especiallysusceptible to SARS-CoV-2-induced adverse outcomes and complications. T2D patients have severalcomorbidities that increases their vulnerability: obesity, chronic inflammation, and vascular complications, i.e.,diabetic kidney disease (DKD), diabetic neuropathy (DN), and cardiovascular disease (CVD). T2D patients arealso predisposed to the cytokine storm syndrome (CSS), an acute inflammation state triggered by COVID-19.CSS releases a cascade of inflammatory cytokines that causes dangerous hyperglycemic surges andperpetuates a vicious cycle of cytokine release. Yet, there is a critical knowledge gap on how the initial CSS thatoccurs with the onset of COVID-19 disease superimposes on chronic T2D inflammation to contribute to adverseoutcomes and what are the cytokines that most strongly predict the clinical course in COVID-19 T2D patients.Given the T2D prevalence, high COVID-19 infection rate, and lack of therapies, there is an urgent unmet needto identify risk-factors and inflammatory biomarker profiles that predict the most critical incoming COVID-19 T2Dcases to prepare us for the next pandemic wave.We also urgently need evidence-based guidelines for managingcomplications in survivors from the first wave. Our objective is to establish the knowledge base needed to meetthis clinical need by developing risk-assessment tools to inform management of current COVID-19 T2D patientsand prepare for future waves. Our overall hypothesis is that acute inflammatory surges, secondary to SARS-CoV-2-induced CSS, raise the risk of acute adverse outcomes and accelerate progression of chronic diabeticcomplications. We will test this hypothesis in an ongoing cohort of ~500 severe COVID-19 patients admitted atMichigan Medicine, of whom 208 have T2D. Known as the Michigan Medicine COVID-19 Cohort (M2C2, PI:Hayek), clinical data and biosamples were collected on admission and throughout the hospital course. Our one-year short term goals are to: (i) identify inflammatory signatures that correlate to inpatient outcomes in the M2C2,(ii) deeply phenotype M2C2 participants 3-6 months post-hospitalization for chronic vascular complications (DKD,DN, CVD), and longer term inflammatory signatures, (iii) assess the 3-6 month psychosocial outcomes of M2C2participants. Our Specific Aims are:1) Identify an inflammatory biomarker signature linked to acute complicationsin T2D M2C2 patients; b) Define the post-discharge clinical course by inflammatory biomarker signatures in T2DM2C2 patients. Our proposed research will have immediate significant impact by generating the knowledge basedrequired for much needed, and immediately applicable clinical guidelines for managing current and futureCOVID-19 T2D patients. It will also establish an informative biomarker panels that correlate with acute andchronic T2D COVID-19 clinical phenotypes and inform outpatient management of T2D patients post-COVID-19infection. Data from this proposal are urgently needed to treat our T2D population in light of their particularvulnerability.