Single-cell atlas of human lung aging identifies cell type dyssynchrony and increased transcriptional entropy

Age is a major risk factor for lung disease. We characterized the changing cellular, transcriptional, and genomic landscape of human lung aging using single-cell RNA sequencing. We find that lung aging is cell-type dyssynchronous, with alveolar epithelial and endothelial cells exhibiting the greatest transcriptional changes. Among alveolar epithelial cells, aging is associated with a decreased relative proportion of surfactant-expressing SPC<sup>high</sup> AT2 cells. Among alveolar capillary cells, we observed loss of differentiation and capillary function. Analysis of somatic mutations called from single-cell data revealed an increase with aging, with alveolar epithelial and endothelial cell types exhibiting greater mutation burdens. Transcriptional entropy was increased with aging and was an independent predictor of age. Notably, cells expressing commonly accepted senescence signatures did not increase with age. Our results reveal cell type dyssynchrony in human lung aging with age-related changes concentrated in alveolar epithelial and endothelial cells.

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Publication Details

Journal
Nature Communications
Published
2026-01-22
DOI
https://doi.org/10.1038/s41467-026-68810-9
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

Single-cell atlas of human lung aging identifies cell type dyssynchrony and increased transcriptional entropy

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Nature Communications
Single-cell and spatial transcriptomics
article

Single-cell atlas of human lung aging identifies cell type dyssynchrony and increased transcriptional entropy

Ruben De Man, John E. McDonough, Cristian Coarfa, Bart M. Vanaudenaerde, Taylor Adams, Ovcharenko Ivan, B.J. Moss, Xiting Yan, Wim Wuyts, Edward P. Manning, F. Nekola, Juan Cala Garcia, Qi Song, Alan Waich, Fernando Poli, Sabina Anderson, Laura Niklason, Ziv Bar-Joseph, Naftali Kaminski, Rafael Cardenas, Reina Rangel
article en

Abstract

Age is a major risk factor for lung disease. We characterized the changing cellular, transcriptional, and genomic landscape of human lung aging using single-cell RNA sequencing. We find that lung aging is cell-type dyssynchronous, with alveolar epithelial and endothelial cells exhibiting the greatest transcriptional changes. Among alveolar epithelial cells, aging is associated with a decreased relative proportion of surfactant-expressing SPC<sup>high</sup> AT2 cells. Among alveolar capillary cells, we observed loss of differentiation and capillary function. Analysis of somatic mutations called from single-cell data revealed an increase with aging, with alveolar epithelial and endothelial cell types exhibiting greater mutation burdens. Transcriptional entropy was increased with aging and was an independent predictor of age. Notably, cells expressing commonly accepted senescence signatures did not increase with age. Our results reveal cell type dyssynchrony in human lung aging with age-related changes concentrated in alveolar epithelial and endothelial cells.

Nature CommunicationsVol. 17(1)
Baylor College of Medicine (US), Yale University (US), VA Connecticut Healthcare System (US), Bristol-Myers Squibb (United States) (US), Humacyte (United States) (US), Carnegie Mellon University (US), McMaster University (CA), KU Leuven (BE)
U.S. Department of Veterans Affairs, Yale University, National Institutes of Health, National Institute on Aging, National Heart, Lung, and Blood Institute, National Institute of General Medical Sciences
Good health and well-being
Openalex Percentile: Top 81%
Single-cell and spatial transcriptomics
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