Single cell-resolutionin situsequencing elucidates spatial dynamics of multiple sclerosis lesion and disease evolution

Abstract

SUMMARYMultiple sclerosis (MS) is a neurological disease characterised by multifocal lesions and smouldering pathology. While single-cell analyses have provided insights into neuropathology, cellular processes underlying MS remain poorly understood. We modelled the cellular dynamics of MS by examining temporal and regional rates of disease progression in the experimental autoimmune encephalomyelitis (EAE) mouse model. By performing single-cell spatial expression profiling usingIn situsequencing, we annotated disease neighbourhoods during lesion evolution and found centrifugal propagation of active lesions. We demonstrated that disease-associated (DA) glia are dynamic and induced independently of lesions, preceding their formation. Single-cell spatial analysis of human archival MS spinal cord confirmed differential distribution of DA-glia, enabled deconvolution of active and inactive lesions into sub-compartments, and identification of new lesion areas. By establishing a spatial resource of mouse and human MS neuropathology at a single-cell resolution, our study unveils the intricate cellular dynamics underlying MS disease evolution.