Integrated Molecular Pathogenesis of Pulmonary Fibrosis

Abstract

Pulmonary fibrosis (PF) is a heterogeneous clinical syndrome that represents the end-stage of chronic interstitial lung diseases. Dozens of different occupational, environmental, immune and genetic risk factors have been associated with PF, and through the past several decades, risk factor exposures have been the driving force in the diagnostic classification of PF, thus in the current paradigm, there are dozens of different "diagnoses" of pulmonary fibrosis. This emphasis on distinction has focused much attention on the most "common" form of this syndrome (Idiopathic Pulmonary Fibrosis, IPF), which comprises only 20 percent of PF patients. Today there are 2 modestly effective FDA-approved treatments for IPF; however, for the 80 percent of PF patients with other diagnoses, there are no known effective treatments. The current paradigm emphasizing diagnostic distinction has limited progress in understanding how different risk factors lead to a common end-stage lung pathology. In order to rapidly accelerate progress towards better treatments for all PF patients, a radical departure from this approach is needed. We believe any subdividing of PF should be driven by demonstrated relevant differences in disease biology; to this end, it has become clear that a more nuanced understanding of "upstream" disease mechanism of disease initiation and propagation, as well as the convergent "downstream" mechanisms of lung fibrosis is critical. By leveraging the inherent heterogeneity of disease state in the PF lung, we will employ innovative single-cell genomic approaches - in particular single cell RNA-seq (scRNA-seq) and culture models to recreate the molecular natural history of disease, determine the convergent mediators and pathways that drive PF pathogenesis and identify mechanistically-driven disease endotypes.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2022
Accession Number
AD1190915

Entities

People

  • Jonathan Andrew Kropski
  • Nicholas E Banovich

Organizations

  • Translational Genomics Research Institute
  • Vanderbilt University Medical Center

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Acquisition
  • Best Practices
  • Biomedical Research
  • Cells
  • Classification
  • Contracts
  • Data Analysis
  • Data Integration
  • Data Processing
  • Department Of Defense
  • Diseases
  • Endotypes
  • Fibrosis
  • Gene Expression
  • Genomics
  • Instructors
  • Lung Diseases
  • Maryland
  • Medical Personnel
  • Natural History
  • Pathogenesis
  • Pathology
  • Risk Factors

Fields of Study

  • Medicine

Readers

  • Geochemistry
  • Immunology and Pathology
  • Systems Analysis and Design

Technology Areas

  • Biotechnology