NOV 13, 2020 10:00 AM PST

Immune profiling of hospitalized COVID-19 patients

Speaker
  • Cancer Research Institute-Mark Foundation Fellow University of Pennsylvania
    Biography

      Dr. Josephine Giles is a Cancer Research Institute-Mark Foundation Fellow at the University of Pennsylvania. Dr. Giles obtained her Ph.D. from the Department of Immunobiology at Yale University in 2015. Her graduate work in the laboratory of Mark J. Shlomchik resulted in a novel method for identifying and studying autoreactive T cells in systemic autoimmune disease. In the laboratory of Dr. John Wherry, her postdoctoral work is focused on elucidating the epigenetic and transcriptional networks that control CD8 T cell states. These studies combine mouse models of T cell differentiation and human immunology with next-generation sequencing, high dimensional cytometry, and computational analysis.


    Abstract
    Date:  November 13, 2020
    Time: 10:00am PDT, 1:00pm EDT
     
    Coronavirus disease 2019 (COVID-19) is currently a global pandemic, but human immune responses to the virus remain poorly understood. We used high-dimensional cytometry to analyze 125 COVID-19 patients and compare them with recovered and healthy individuals. Integrated analysis of ~200 immune and ~50 clinical features revealed activation of T cell and B cell subsets in a proportion of patients. A subgroup of patients had T cell activation characteristic of acute viral infection and plasmablast responses reaching >30% of circulating B cells. However, another subgroup had lymphocyte activation comparable with that in uninfected individuals. Stable versus dynamic immunological signatures were identified and linked to trajectories of disease severity change. Our analyses identified three immunotypes associated with poor clinical trajectories versus improving health. These immunotypes may have implications for the design of therapeutics and vaccines for COVID-19.
     
    Learning Objectives:
    • Strategies for immune profiling in human disease
    • Strategies for data analysis and integration with flow cytometry and clinical data
    • Identification of major T and B cell immune phenotypes in hospitalized COVID-19 patients
     
     
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