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Regional and disease specific human lung extracellular matrix composition

  • Evan T. Hoffman*
  • , Franziska E. Uhl
  • , Loredana Asarian
  • , Bin Deng
  • , Chloe Becker
  • , Juan J. Uriarte
  • , Isaac Downs
  • , Brad Young
  • , Daniel J. Weiss
  • *Corresponding author for this work
  • University of Vermont
  • Lund University
  • University of Kentucky

Research output: Contribution to journalArticlepeer-review

52 Scopus citations

Abstract

Chronic lung diseases, such as chronic obstructive pulmonary disease (COPD) and idiopathic pulmonary fibrosis (IPF), are characterized by regional extracellular matrix (ECM) remodeling which contributes to disease progression. Previous proteomic studies on whole decellularized lungs have provided detailed characterization on the impact of COPD and IPF on total lung ECM composition. However, such studies are unable to determine the differences in ECM composition between individual anatomical regions of the lung. Here, we employ a post-decellularization dissection method to compare the ECM composition of whole decellularized lungs (wECM) and specific anatomical lung regions, including alveolar-enriched ECM (aECM), airway ECM (airECM), and vasculature ECM (vECM), between non-diseased (ND), COPD, and IPF human lungs. We demonstrate, using mass spectrometry, that individual regions possess a unique ECM signature characterized primarily by differences in collagen composition and basement-membrane associated proteins, including ECM glycoproteins. We further demonstrate that both COPD and IPF lead to alterations in lung ECM composition in a region-specific manner, including enrichment of type-III collagen and fibulin in IPF aECM. Taken together, this study provides methodology for future studies, including isolation of region-specific lung biomaterials, as well as a dataset that may be applied for the identification of novel ECM targets for therapeutics.

Original languageEnglish
Article number121960
JournalBiomaterials
Volume293
DOIs
StatePublished - Feb 2023
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Decellularization
  • Extracellular matrix
  • Lung
  • Proteomics

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