Single-cell transcriptome sequencing-based analysis: probing the mechanisms of glycoprotein NMB regulation of epithelial cells involved in silicosis

Part Fibre Toxicol. 2023 Jul 19;20(1):29. doi: 10.1186/s12989-023-00543-9.

Abstract

Chronic exposure to silica can lead to silicosis, one of the most serious occupational lung diseases worldwide, for which there is a lack of effective therapeutic drugs and tools. Epithelial mesenchymal transition plays an important role in several diseases; however, data on the specific mechanisms in silicosis models are scarce. We elucidated the pathogenesis of pulmonary fibrosis via single-cell transcriptome sequencing and constructed an experimental silicosis mouse model to explore the specific molecular mechanisms affecting epithelial mesenchymal transition at the single-cell level. Notably, as silicosis progressed, glycoprotein non-metastatic melanoma protein B (GPNMB) exerted a sustained amplification effect on alveolar type II epithelial cells, inducing epithelial-to-mesenchymal transition by accelerating cell proliferation and migration and increasing mesenchymal markers, ultimately leading to persistent pulmonary pathological changes. GPNMB participates in the epithelial-mesenchymal transition in distant lung epithelial cells by releasing extracellular vesicles to accelerate silicosis. These vesicles are involved in abnormal changes in the composition of the extracellular matrix and collagen structure. Our results suggest that GPNMB is a potential target for fibrosis prevention.

Keywords: Epithelial mesenchymal transformation; Extracellular matrix; Extracellular vesicles; Pulmonary fibrosis; Silica.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Epithelial Cells
  • Epithelial-Mesenchymal Transition
  • Lung
  • Mice
  • Pulmonary Fibrosis* / metabolism
  • Silicon Dioxide / metabolism
  • Silicosis* / genetics
  • Silicosis* / pathology
  • Transcription Factors / metabolism
  • Transcriptome

Substances

  • Silicon Dioxide
  • Transcription Factors