Cell type mapping reveals tissue niches and interactions in subcortical multiple sclerosis lesions

Celia Lerma-Martin(Heidelberg University), Pau Badia-i-Mompel(European Bioinformatics Institute), Ricardo O. Ramirez Flores(European Bioinformatics Institute), Patricia Sekol(Heidelberg University), Philipp Schäfer(European Bioinformatics Institute), Christian J. Riedl(Medical University of Vienna), Annika Hofmann(Heidelberg University), Thomas Thäwel(Heidelberg University), Florian Wünnemann(Heidelberg University), Miguel A. Ibarra-Arellano(Heidelberg University), Tim Trobisch(Heidelberg University), Philipp Eisele(Heidelberg University), Denis Schapiro(Heidelberg University), Maximilian Haeussler(University of California, Santa Cruz), Simon Hametner(Medical University of Vienna), Julio Sáez-Rodríguez(European Bioinformatics Institute), Lucas Schirmer(University of Mannheim)
Nature Neuroscience
November 5, 2024
Cited by 48Open Access
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Abstract

Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system. Inflammation is gradually compartmentalized and restricted to specific tissue niches such as the lesion rim. However, the precise cell type composition of such niches, their interactions and changes between chronic active and inactive stages are incompletely understood. We used single-nucleus and spatial transcriptomics from subcortical MS and corresponding control tissues to map cell types and associated pathways to lesion and nonlesion areas. We identified niches such as perivascular spaces, the inflamed lesion rim or the lesion core that are associated with the glial scar and a cilia-forming astrocyte subtype. Focusing on the inflamed rim of chronic active lesions, we uncovered cell–cell communication events between myeloid, endothelial and glial cell types. Our results provide insight into the cellular composition, multicellular programs and intercellular communication in tissue niches along the conversion from a homeostatic to a dysfunctional state underlying lesion progression in MS. Lerma-Martin et al. generated a paired single-nucleus RNA sequencing and spatial transcriptomics dataset from subcortical multiple sclerosis lesions, identifying spatial niches and key cell interactions driving inflammation and disease progression at the lesion rim.


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