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Multiomic analysis identifies T cell subsets and mechanisms of epithelial interaction in idiopathic pulmonary fibrosis
Ana P.M. Serezani, Julia M.R. Bazzano, Bruno D. Pascoalino, Ludmilla da Silva, Abigail J. Dietrich, Chase J. Taylor, Taylor Sherrill, Annika Vannan, Carla L. Calvi, Paula I. Gonzalez-Ericsson, Erin M. Wilfong, Matthew Bacchetta, Ciara M. Shaver, Lorraine B. Ware, Margaret L. Salisbury, Luc Van Kaer, Nicholas E. Banovich, Jonathan A. Kropski, Timothy S. Blackwell
Ana P.M. Serezani, Julia M.R. Bazzano, Bruno D. Pascoalino, Ludmilla da Silva, Abigail J. Dietrich, Chase J. Taylor, Taylor Sherrill, Annika Vannan, Carla L. Calvi, Paula I. Gonzalez-Ericsson, Erin M. Wilfong, Matthew Bacchetta, Ciara M. Shaver, Lorraine B. Ware, Margaret L. Salisbury, Luc Van Kaer, Nicholas E. Banovich, Jonathan A. Kropski, Timothy S. Blackwell
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Research Article Immunology Pulmonology

Multiomic analysis identifies T cell subsets and mechanisms of epithelial interaction in idiopathic pulmonary fibrosis

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Abstract

Idiopathic pulmonary fibrosis (IPF) is a fatal interstitial lung disease characterized by progressive scarring and respiratory failure. While T cells are elevated in IPF lungs, their contributions to fibrosis beyond inflammation remain poorly understood. Here, we performed multiplex imaging and single-cell RNA and protein profiling on about 90,000 CD3+ T cells from control and fibrotic lungs, revealing 11 distinct subsets of CD4+ and CD8+ T cells, including a rare CD56+ regulatory T cell. In addition to increased T cell numbers in severely fibrotic lungs compared with non-diseased controls, we observed CD4+ and CD8+ T cells localized near epithelial cells and in niches of abnormal epithelium. CXCR4/MIF signaling emerged as a central axis mediating T cell–epithelial interactions, while epidermal growth factor receptor (EGFR) and TGF-β pathways dominated in multiple T cell subsets. Our findings support the concept that T cells in IPF adopt nonclassical activation patterns that are driven by epithelial interactions within the fibrotic microenvironment. These studies provide a foundation for exploring alternative therapeutic strategies in IPF lungs by modulating T cell behavior and communication networks.

Authors

Ana P.M. Serezani, Julia M.R. Bazzano, Bruno D. Pascoalino, Ludmilla da Silva, Abigail J. Dietrich, Chase J. Taylor, Taylor Sherrill, Annika Vannan, Carla L. Calvi, Paula I. Gonzalez-Ericsson, Erin M. Wilfong, Matthew Bacchetta, Ciara M. Shaver, Lorraine B. Ware, Margaret L. Salisbury, Luc Van Kaer, Nicholas E. Banovich, Jonathan A. Kropski, Timothy S. Blackwell

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Figure 1

CITE-seq profiling and annotation of lung T cells.

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CITE-seq profiling and annotation of lung T cells.
(A) Workflow schemati...
(A) Workflow schematic illustrating lung tissue dissociation, T cell staining, sorting, and CITE-seq library preparation. Created with BioRender (biorender.com). (B) Multimodal clustering integrating RNA and antibody-derived tag (ADT) protein measurements, visualized by uniform manifold approximation and projection (UMAP), from 91,434 cells isolated from 10 control lungs and 19 fibrotic ILD lungs (IPF and non-IPF ILD). Each dot represents one cell. (C) UMAP showing annotated T cell subsets based on combined RNA and ADT marker expression; colors indicate subsets as labeled. (D) UMAPs showing T cell cluster distribution stratified by diagnosis (control, non-IPF ILD, and IPF: n = 10, n = 10, and n = 9 lungs, respectively). (E) Heatmap of selected signature markers used to define each T cell subset, showing both RNA expression and ADT protein levels (values are normalized and scaled within each marker).

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