Characterization of the COPD alveolar niche using single-cell RNA sequencing

Nat Commun. 2022 Jan 25;13(1):494. doi: 10.1038/s41467-022-28062-9.

Abstract

Chronic obstructive pulmonary disease (COPD) is a leading cause of death worldwide, however our understanding of cell specific mechanisms underlying COPD pathobiology remains incomplete. Here, we analyze single-cell RNA sequencing profiles of explanted lung tissue from subjects with advanced COPD or control lungs, and we validate findings using single-cell RNA sequencing of lungs from mice exposed to 10 months of cigarette smoke, RNA sequencing of isolated human alveolar epithelial cells, functional in vitro models, and in situ hybridization and immunostaining of human lung tissue samples. We identify a subpopulation of alveolar epithelial type II cells with transcriptional evidence for aberrant cellular metabolism and reduced cellular stress tolerance in COPD. Using transcriptomic network analyses, we predict capillary endothelial cells are inflamed in COPD, particularly through increased CXCL-motif chemokine signaling. Finally, we detect a high-metallothionein expressing macrophage subpopulation enriched in advanced COPD. Collectively, these findings highlight cell-specific mechanisms involved in the pathobiology of advanced COPD.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • A549 Cells
  • Alveolar Epithelial Cells / classification
  • Alveolar Epithelial Cells / metabolism*
  • Animals
  • Cells, Cultured
  • Cluster Analysis
  • Epithelial Cells / metabolism
  • Female
  • Gene Expression Profiling / methods
  • Gene Regulatory Networks
  • Humans
  • Lung / cytology
  • Lung / metabolism*
  • Male
  • Mice
  • Mice, Inbred C57BL
  • Mice, Transgenic
  • Pulmonary Disease, Chronic Obstructive / genetics*
  • Pulmonary Disease, Chronic Obstructive / pathology
  • RNA-Seq / methods*
  • Signal Transduction / genetics
  • Single-Cell Analysis / methods*