ORIGINAL RESEARCH article
Front. Immunol.
Sec. Inflammation
Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1629226
This article is part of the Research TopicDecoding Immune-Vascular Dynamics for Lung Repair and Therapeutic InnovationView all 4 articles
Single-cell Transcriptomics Reveals Predominantly Inflammatory Endothelial Cell Responses and Suppressed Vascular Repair in Silicosis
Provisionally accepted- 1Anhui University of Science and Technology, Huainan, China
- 2Anhui Province Engineering Laboratory of Occupational Health and Safety, Huainan, China
- 3Anhui University of Science and Technology School of Medicine, Huainan, China
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Silicosis is a progressive fibrotic lung disease without effective treatment options, and its pathogenesis remains incompletely understood, particularly the role of endothelial cells (ECs). Here, we utilized single-cell RNA sequencing to characterize endothelial responses in lungs from silica-exposed mice. We identified two functionally distinct endothelial subpopulations: an inflammatory EC subtype exhibiting significantly increased abundance, characterized by high expression of neutrophilrecruiting factors such as Spp1 (osteopontin), CCL (C-C motif chemokine ligand), and the ESAM(endothelial cell-selective adhesion molecule), suggesting active involvement in promoting neutrophil influx and persistent inflammation; and a reparative EC subtype, marked by upregulation of angiogenesis and vascular repair pathways, which exhibited decreased abundance and functional suppression within the silicotic lung microenvironment. These results indicate a pathological shift toward inflammation-amplifying endothelial cells and impaired reparative capacity during silicosis progression. Our findings provide new mechanistic insights into endothelial cell dysfunction in silicosis and highlight potential targets for therapeutic intervention.
Keywords: Silicosis, Endothelial Cells, Coal dust, mouse model, Single-cell transcriptomics
Received: 15 May 2025; Accepted: 11 Aug 2025.
Copyright: © 2025 Cao, Cui, Chen, Li, Li and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Jianhua Wang, Anhui University of Science and Technology, Huainan, China
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