Spatial transcriptomics identifies molecular niche dysregulation associated with distal lung remodeling in pulmonary fibrosis

Large-scale changes in the structure and cellular makeup of the distal lung are a hallmark of pulmonary fibrosis (PF), but the spatial contexts that contribute to disease pathogenesis have remained uncertain. Using image-based spatial transcriptomics, we analyzed the gene expression of 1.6 million cells from 35 unique lungs. Through complementary cell-based and innovative cell-agnostic analyses, we characterized the localization of PF-emergent cell types, established the cellular and molecular basis of classical PF histopathologic features and identified a diversity of distinct molecularly defined spatial niches in control and PF lungs. Using machine learning and trajectory analysis to segment and rank airspaces on a gradient of remodeling severity, we identified compositional and molecular changes associated with progressive distal lung pathology, beginning with alveolar epithelial dysregulation and culminating with changes in macrophage polarization. Together, these results provide a unique, spatially resolved view of PF and establish methods that could be applied to other spatial transcriptomic studies.

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Publication Details

Journal
Nature Genetics
Published
2025-02-03
DOI
https://doi.org/10.1038/s41588-025-02080-x
Citations
81
Primary Topic
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Type
article
Field-Weighted Citation Impact
122.99

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article

Spatial transcriptomics identifies molecular niche dysregulation associated with distal lung remodeling in pulmonary fibrosis

Jonathan A. Kropski, Nicholas M. Negretti, Ana Serezani, Jason J. Gokey et al.
81 citations
Nature Genetics
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
122.99
article

Spatial transcriptomics identifies molecular niche dysregulation associated with distal lung remodeling in pulmonary fibrosis

Jonathan A. Kropski, Nicholas M. Negretti, Ana Serezani, Jason J. Gokey, Ciara M. Shaver, Lorraine B. Ware, Niran Hadad, David S. Nichols, Davis J. McCarthy, Chase J. Taylor, Heejung Shim, Rajat Walia, Carla L. Calvi, A. Scott McCall, Timothy S. Blackwell, Matthew D. Bacchetta, Jennifer M. S. Sucre, Nicholas E. Banovich, Ruqian Lyu, Annika Vannan, Evan D. Mee, Arianna L. Williams-Katek, J. Hirsh, Samuel Hirsh, VV Polosukhin
article en
81 citations

Abstract

Large-scale changes in the structure and cellular makeup of the distal lung are a hallmark of pulmonary fibrosis (PF), but the spatial contexts that contribute to disease pathogenesis have remained uncertain. Using image-based spatial transcriptomics, we analyzed the gene expression of 1.6 million cells from 35 unique lungs. Through complementary cell-based and innovative cell-agnostic analyses, we characterized the localization of PF-emergent cell types, established the cellular and molecular basis of classical PF histopathologic features and identified a diversity of distinct molecularly defined spatial niches in control and PF lungs. Using machine learning and trajectory analysis to segment and rank airspaces on a gradient of remodeling severity, we identified compositional and molecular changes associated with progressive distal lung pathology, beginning with alveolar epithelial dysregulation and culminating with changes in macrophage polarization. Together, these results provide a unique, spatially resolved view of PF and establish methods that could be applied to other spatial transcriptomic studies.

Nature GeneticsVol. 57(3)
Translational Genomics Research Institute (US), The University of Melbourne (AU), Vanderbilt University (US), University of Michigan (US), Tucson Orthopaedic Institute (US), Melbourne Genomics Health Alliance (AU), St Vincents Institute of Medical Research (AU), Vanderbilt University Medical Center (US)
National Health and Medical Research Council, National Heart, Lung, and Blood Institute, National Human Genome Research Institute, Congressionally Directed Medical Research Programs
Openalex Percentile: Top 0%
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
122.99
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