Gpnmb and Spp1 mark a conserved macrophage injury response masking fibrosis-specific programming in the lung

Emily M King1, Yifan Zhao2, Camille M Moore2

  • 1Medical Scientist Training Program, University of Colorado School of Medicine, Aurora, Colorado, USA.

JCI Insight
|November 7, 2024
PubMed

Insights

Lung macrophages play a dual role in repair. This study identifies specific macrophage subsets and their origins that dictate whether lung repair is healthy or leads to fibrosis.

Area of Science:

  • Immunology
  • Pulmonary Medicine
  • Cell Biology

Background:

  • Macrophages are crucial for lung repair after injury.
  • However, they can also drive fibrotic lung disease.
  • The specific macrophage subsets mediating these distinct outcomes remain unclear.

Purpose of the Study:

  • To investigate the distinct macrophage subsets involved in lung repair following injury.
  • To determine how macrophage origin and location influence lung repair outcomes (healthy vs. fibrotic).

Main Methods:

  • Single-cell RNA sequencing (scRNA-Seq) of lung macrophages from mice after LPS or bleomycin injury.
  • Categorization of macrophages based on location, origin, time, and injury model.
  • Integrated dataset analysis to identify macrophage subset clustering drivers.

Main Results:

  • Macrophage clustering was primarily driven by origin and tissue compartment, not the injury model.
  • GPNMB-expressing recruited macrophages, associated with fibrosis genes, were found in both injury models and human lung disease.
  • These GPNMB-expressing macrophages represent a conserved response to injury but are insufficient to cause fibrosis.
  • Recruited macrophages failed to adopt resident-like programming during fibrotic repair.

Conclusions:

  • Fibrotic versus non-fibrotic lung repair is determined by dynamic programming shifts in macrophage subsets.
  • The persistence of recruited macrophages is a key factor in fibrotic repair.
  • A conserved macrophage response to injury exists, but fibrotic outcomes depend on specific programming and persistence dynamics.