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Biology subjects

Matei, A.-E.

Publications and source records attributed to Matei, A.-E..

2 recordsLinked to original sources

Single cell mapping of the metabolic landscape of skin fibrosis in systemic sclerosis

AbstractTissue resident cells undergo metabolic reprogramming during fibrotic tissue remodeling to meet their changing metabolic demands required for extracellular matrix production and phenotypic transitions in fibrosis. However, the metabolic reprogramming in fibrotic tissues has not yet been explored at single cell level with spatial resolution. Moreover, the spatial organization of metabolic niches in fibrotic tissues remains understudied. To address these gaps, we used imaging mass cytometry (IMC) and characterized the metabolic regulome, indicative of the activity in several key metabolic pathways in systemic sclerosis (SSc) as a prototypic systemic fibrotic disease. We identified a distinct metabolically active profile with high activity of glycolysis, TCA/OXPHOS, hypoxia and ROS signaling in fibroblasts, endothelial cells and macrophages in SSc patients with progressive skin fibrosis. These metabolic profiles are associated with expression of markers of profibrotic activation. Metabolically active fibroblasts might shape their microenvironment to induce a similar metabolic phenotype in neighboring endothelial cells and macrophages, facilitating profibrotic interactions. Consistently, specific interactions between metabolically defined, activated cell subsets are associated with the extent or progression of skin fibrosis. Thus, interfering with these metabolic niches might provide therapeutic opportunities in fibrotic diseases.

cell biology↗

Spatially informed phenotyping by cyclic-in-situ-hybridization identifies novel fibroblast populations and their pathogenic niches in systemic sclerosis

Spatially non-resolved transcriptomic data identified functionally distinct populations of fibroblasts in health and disease. However, in-depth transcriptional profiling in situ at single-cell resolution has not been possible so far. Here, we studied fibroblast populations in the skin of SSc patients and healthy individuals using cyclic in situ hybridization (cISH) as a novel approach for spatially-resolved transcriptional phenotyping with subcellular resolution. cISH deconvoluted the heterogeneity of 20,979 cells including 3,764 fibroblasts (FB). BANKSY-based spatially-informed clustering identified nine FB subpopulations, with SFRP2+ RetD FB and CCL19+ nonPV FB as novel subpopulations that reside in specific cellular niches and display unique gene expression profiles. SFRP2+ RetD FB and CCL19+ nonPV FB as well as COL8A1+ FB, display altered frequencies in SSc skin and play specific, disease-promoting roles for extracellular matrix release and leukocyte recruitment as revealed by their transcriptional profile, their cellular interactions and ligand-receptor analyses. The frequencies of COL8A1+ FB and their interactions with monocytic cells and B cells are associated with progression of skin fibrosis in SSc. In summary, our spatially-resolved transcriptomic approach identified novel fibroblast subpopulations deregulated in SSc skin with specific pathogenic roles, some of which may potentially serve as biomarkers for progression of skin fibrosis.

immunology↗