OP0178 IMAGING MASS CYTOMETRY-BASED CHARACTERIZATION OF FIBROBLASTS SUBSETS, THEIR NETWORKS AND SPATIAL MICROENVIRONMENT IN SYSTEMIC SCLEROSIS
Authors: A. Rius Rigau, M. Liang, T. Filla, V. Devakumar, A. E. Matei, A. H. Györfi, G. Schett, J. Distler, Y. N. Li
Journal: Annals of the Rheumatic Diseases (2024)

<h3>Background:</h3> Systemic sclerosis (SSc) is an autoimmune disorder characterized by excessive extracellular matrix accumulation. Fibroblasts are the key players in the fibrotic tissue remodeling process. Several evidences have emerged supporting that fibroblasts are a heterogeneous group of cells with distinct phenotypes and functions. However, their spatial distribution, the organization of local niches and interactions between fibroblast are not known to date. <h3>Objectives:</h3> Using Imaging Mass Cytometry (IMC) as spatial proteomics technique with subcellular resolution, we aimed to characterize fibroblasts compartments, subsets, as well as their interactions and spatial relationships in the skin of SSc patients and healthy controls. <h3>Methods:</h3> We stained skin histology section from 12 SSc and 7 donors using a 36 metal-conjugated antibody cocktail and analyzed by an IMC device to generate highly multiplex images of the skin. We employed bioinformatics pipelines to deconvolute the stromal cells subsets, characterize their phenotype and their spatial relationships. <h3>Results:</h3> We identified 13 different subsets of fibroblasts, including FAP<sup>high</sup>, ADRP<sup>+</sup>, myofibroblasts, S1PR<sup>+</sup>, Thy1<sup>+</sup>ADAM<sup>high</sup>PU.1<sup>high</sup>, Cdh11<sup>+</sup>, PI16<sup>+</sup>FAP<sup>+</sup>, PI16<sup>+</sup>FAP<sup>-</sup>, PI16<sup>+</sup>FAP<sup>+</sup>TFAM<sup>low</sup>, TFAM<sup>high</sup>, ADAM12<sup>+</sup>Gli1<sup>+</sup>, Thy1<sup>+</sup>ADAM12<sup>low</sup> and resting fibroblasts. The frequencies of myofibroblast, S1PR<sup>+</sup>, FAP<sup>high</sup>, Thy1<sup>+</sup>ADAM<sup>high</sup>PU.1<sup>high</sup> and ADAM12<sup>+</sup>Gli1<sup>+</sup> are significantly higher in SSc individuals compared to healthy controls, while the levels of PI16<sup>+</sup>FAP<sup>+</sup>, Thy1<sup>+</sup>ADAM<sup>low</sup> and TFAM<sup>high</sup> are significantly decreased in SSc. Based on the spatial relationship of the individual cell types, we identified distinct cellular neighborhood clusters. Three are of particular interest. In one of these clusters the number of fibroblasts increases in SSc with a predominance of S1PR<sup>+</sup> fibroblasts. Of note, the proportion of S1PR<sup>+</sup> fibroblasts is positively correlated with clinical parameters of fibrosis progression including the mRSS. This neighborhood of profibrotic S1PR<sup>+</sup> fibroblasts replaces another neighborhood of homeostatic fibroblasts, consisting in particular of resting fibroblasts and Thy1<sup>+</sup>ADAM12<sup>low</sup> cells. A third cellular neighborhood is located beneath the epithelial layer, in the papillary dermis. This neighborhood changes its cellular composition in SSc: in healthy controls, this neighborhood consist mainly of TFAM<sup>high</sup> fibroblasts with only few ADAM12<sup>+</sup>Gli1<sup>+</sup> fibroblasts, whereas in SSc the TFAM<sup>high</sup> population is decreased and ADAM12<sup>+</sup>Gli1<sup>+</sup> fibroblasts dominate. <h3>Conclusion:</h3> We present the first spatial proteomics-based characterization of fibroblast compartments in SSc. We have identified the S1PR<sup>+</sup> fibroblasts as a novel profibrotic population in SSc. This subset is increased in SSc, resides in close vicinity with myofibroblasts, and correlates with the extent and progression of fibrosis. Future studies will unravel whether targeting these fibroblasts offers therapeutic potential. <h3>REFERENCES:</h3> <b>NIL.</b> <h3>Acknowledgements:</h3> <b>NIL.</b> <h3>Disclosure of Interests:</h3> <b>None declared.</b>