Immune Programs and Related T Cell Mechanisms of Pulmonary Complications After COVID-19 Illness

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

Grant number: 1R56AI178669-01

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2023.0
    2025.0
  • Known Financial Commitments (USD)

    $410,000
  • Funder

    National Institutes of Health (NIH)
  • Principal Investigator

    PROFESSOR OF MEDICINE Judith Woodfolk
  • Research Location

    United States of America
  • Lead Research Institution

    UNIVERSITY OF VIRGINIA
  • 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

SUMMARY Patients who survive severe COVID-19 illness are at risk of developing pulmonary complications. While this may resolve, some patients experience progression of their disease, resulting in severe lung damage. Although T cells are critical to anti-viral responses in the lungs, sustained T-cell alterations in the blood after COVID-19 illness implicates them in persistent disease. There is a major knowledge gap regarding if, and how, circulating T cells contribute to lung pathology. Our understanding is hampered by the variable clinical nature of pulmonary disease, as well as the challenges to identifying pathogenic T cells in the blood and defining relationships to disease course. The current project overcomes these barriers by applying innovative single-cell methods and powerful machine learning tools that are exquisitely tailored to detect disease-relevant cell populations in the blood, and to define the cellular and molecular dynamics that constitute immune programs governing pulmonary complications of COVID-19. The study leverages a unique and highly characterized cohort of COVID-19 patients defined by their severity of acute illness and developing fibrosis. By garnering data on hundreds of cellular and molecular features in a large sample of patients, we are now poised to significantly advance the field. Preliminary findings reveal pulmonary phenotypes that discriminate severe airway disease, and perturbations in discrete CD4+ and CD8+ T-cell populations, including IFN-γ-producing virus-specific cells, related to these clinical entities. A shared feature of T cells identified is their expression of T-bet, a transcription factor also expressed by tissue-homing B cells that persist after COVID-19 illness. Further, our data support an interplay between these T cells and B cells. Accordingly, we will test the overarching hypothesis that sustained perturbations in novel CD4+ and CD8+ T cells expressing T-bet, including virus-specific cells, mark pro-fibrotic pulmonary phenotypes. These cells create a persistent feedforward circuit of IFN-γ-dependent inflammation through coordinated actions with B cells. First, immune programs of pulmonary disease will be defined and their trajectories mapped in relation to progression and recovery on the basis of concerted T cells, other immune cells and inflammatory mediators operating in vivo over 2 years. This will involve resolving protein signatures and gene expression profiles of T cells at unprecedented depth to determine their functions and evolution (Aim 1). Next, the contributions of epitope-specific T cells to divergent recovery paths will be distinguished in order to address how progression and resolution is regulated by virus epitopes (Aim 2). To this end, a combinatorial tetramer method will monitor the proportions and functions of up to 6 epitope specificities within each subject. Finally, we will confirm the ability for pathogenic T cells from subjects with developing fibrosis, to synergize with T-bet+ B cells by promoting IFN-γ-dependent inflammation in vitro, through a process involving a novel potential biomarker of disease progression, CXCL13 (Aim 3). Assembling "elements of the T-cell puzzle" will identify mechanisms of disease that reveal new therapeutic targets for halting or reversing lung inflammation after COVID-19 illness.