Dysfunctional ERG signaling drives pulmonary vascular aging and persistent fibrosis

Nunzia Caporarello, Jisu Lee, Tho X. Pham, Dakota L. Jones, Jiazhen Guan, Patrick A. Link, Jeffrey A. Meridew, Grace Marden, Takashi Yamashita, Collin A. Osborne, Aditya V. Bhagwate, Steven K. Huang, Roberto F. Nicosia, Daniel J. Tschumperlin, Maria Trojanowska, Giovanni Ligresti

Research output: Contribution to journalArticlepeer-review

Abstract

Vascular dysfunction is a hallmark of chronic diseases in elderly. The contribution of the vasculature to lung repair and fibrosis is not fully understood. Here, we performed an epigenetic and transcriptional analysis of lung endothelial cells (ECs) from young and aged mice during the resolution or progression of bleomycin-induced lung fibrosis. We identified the transcription factor ETS-related gene (ERG) as putative orchestrator of lung capillary homeostasis and repair, and whose function is dysregulated in aging. ERG dysregulation is associated with reduced chromatin accessibility and maladaptive transcriptional responses to injury. Loss of endothelial ERG enhances paracrine fibroblast activation in vitro, and impairs lung fibrosis resolution in young mice in vivo. scRNA-seq of ERG deficient mouse lungs reveales transcriptional and fibrogenic abnormalities resembling those associated with aging and human lung fibrosis, including reduced number of general capillary (gCap) ECs. Our findings demonstrate that lung endothelial chromatin remodeling deteriorates with aging leading to abnormal transcription, vascular dysrepair, and persistent fibrosis following injury.

Original languageEnglish (US)
Article number4170
JournalNature communications
Volume13
Issue number1
DOIs
StatePublished - Dec 2022

ASJC Scopus subject areas

  • General Chemistry
  • General Biochemistry, Genetics and Molecular Biology
  • General Physics and Astronomy

Fingerprint

Dive into the research topics of 'Dysfunctional ERG signaling drives pulmonary vascular aging and persistent fibrosis'. Together they form a unique fingerprint.

Cite this