bioRxivMolecular BiologyPreprint
Single-cell RNA sequencing identifies progenitor dysfunction, inflammation and premature aging in ex vivo airway epithelium-derived from transplant recipients
Louise BondeelleiD, Fedor Bezrukov, Grégory BerraiD, Yves ChalandoniD, Constant Gensous, Sheryline Loison, Federica Giannotti, Romain Messe, Jérôme LeGoffiD, Sophie Clément, Caroline TappareliD, Anne BergeroniD
Abstract
Pulmonary dysfunction is a common complication following hematopoietic stem cell transplantation (HSCT) or lung transplantation (LT). Bronchiolitis obliterans syndrome (BOS), an alloimmune complication of transplantation, with complex pathophysiology, contributes substantially to morbidity and mortality in these settings. We aimed to identify common epithelial features predisposing to BOS by comparing epithelia from HSCT and LT without BOS and non-transplant (NT) individuals. We developed an ex vivo model of human airway epithelia (HAE) reconstituted from bronchial biopsies from 6 patients of each group. Using single-cell RNA sequencing, we identified two distinct epithelial profiles among transplant recipients: one resembling NT epithelium and another displaying altered cellular composition and transcriptional signatures across basal, suprabasal, club and submucosal basal duct cells, which were even more pronounced in a patient who subsequently developed BOS. This latter subgroup exhibited dysregulation of epithelial-mesenchymal transition, TNF/NFB signaling and inflammatory pathways, suggesting impaired epithelial function. Moreover, these HAE demonstrated premature epithelial aging and increased expression of genes encoding damage associated molecular patterns. Together, these findings indicate that epithelial abnormalities specific to certain transplant recipients may contribute to BOS development. Although causality cannot yet be definitively established, our data highlight the airway epithelium as a site of sustained post-transplant injury and reveal potential molecular mechanisms underlying BOS pathogenesis.
- organism: human
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: cell-cell communication
- approach: statistical model
- Citations
- 1
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