open access publication

Article, 2024

Single-Cell Multi-Omics Map of Cell Type–Specific Mechanistic Drivers of Multiple Sclerosis Lesions

Neurology Neuroimmunology & Neuroinflammation, ISSN 2332-7812, Volume 11, 3, Page e200213, 10.1212/nxi.0000000000200213

Contributors

Elkjaer, Maria Louise 0000-0002-8596-142X (Corresponding author) [1] [2] [3] [4] [5] Hartebrodt, Anne 0000-0002-9172-3137 [1] [2] [3] [4] [5] Oubounyt, Mhaned 0000-0001-5011-6683 [1] [2] [3] [4] [5] Weber, Anna [1] [2] [3] [4] [5] Vitved, Lars [1] [2] [3] [4] [5] Reynolds, Richard 0000-0003-4622-4694 [1] [2] [3] [4] [5] Thomassen, Mads [1] [2] [3] [4] [5] Röttger, Richard [1] [2] [3] [4] [5] Baumbach, Jan 0000-0002-0282-0462 [1] [2] [3] [4] [5] Illes, Zsolt Laszlo 0000-0001-9655-0450 (Corresponding author) [1] [2] [3] [4] [5]

Affiliations

  1. [1] Imperial College London
  2. [NORA names: United Kingdom; Europe, Non-EU; OECD];
  3. [2] Odense University Hospital
  4. [NORA names: Region of Southern Denmark; Hospital; Denmark; Europe, EU; Nordic; OECD];
  5. [3] University of Erlangen-Nuremberg
  6. [NORA names: Germany; Europe, EU; OECD];
  7. [4] University of Southern Denmark
  8. [NORA names: SDU University of Southern Denmark; University; Denmark; Europe, EU; Nordic; OECD];
  9. [5] Universität Hamburg
  10. [NORA names: Germany; Europe, EU; OECD]

Abstract

BACKGROUND AND OBJECTIVES: In progressive multiple sclerosis (MS), compartmentalized inflammation plays a pivotal role in the complex pathology of tissue damage. The interplay between epigenetic regulation, transcriptional modifications, and location-specific alterations within white matter (WM) lesions at the single-cell level remains underexplored. METHODS: We examined intracellular and intercellular pathways in the MS brain WM using a novel dataset obtained by integrated single-cell multi-omics techniques from 3 active lesions, 3 chronic active lesions, 3 remyelinating lesions, and 3 control WM of 6 patients with progressive MS and 3 non-neurologic controls. Single-nucleus RNA-seq and ATAC-seq were combined and additionally enriched with newly conducted spatial transcriptomics from 1 chronic active lesion. Functional gene modules were then validated in our previously published bulk tissue transcriptome data obtained from 73 WM lesions of patients with progressive MS and 25 WM of non-neurologic disease controls. RESULTS: Our analysis uncovered an MS-specific oligodendrocyte genetic signature influenced by the KLF/SP gene family. This modulation has potential associations with the autocrine iron uptake signaling observed in transcripts of transferrin and its receptor LRP2. In addition, an inflammatory profile emerged within these oligodendrocytes. We observed unique cellular endophenotypes both at the periphery and within the chronic active lesion. These include a distinct metabolic astrocyte phenotype, the importance of FGF signaling among astrocytes and neurons, and a notable enrichment of mitochondrial genes at the lesion edge populated predominantly by astrocytes. Our study also identified B-cell coexpression networks indicating different functional B-cell subsets with differential location and specific tendencies toward certain lesion types. DISCUSSION: The use of single-cell multi-omics has offered a detailed perspective into the cellular dynamics and interactions in MS. These nuanced findings might pave the way for deeper insights into lesion pathogenesis in progressive MS.

Keywords

ATAC-seq, B cell subsets, FGF, FGF signaling, RNA-seq, WM lesions, active lesions, alterations, analysis, association, astrocytes, astrocytic phenotype, autocrine, background, brain WM, cellular dynamics, cellular endophenotypes, chronic active lesions, coexpression network, compartmentalized inflammation, complex pathology, control, control WM, damage, data, dataset, disease control, dynamics, edge, endophenotypes, epigenetic regulation, family, findings, functional B cell subsets, functional gene modules, gene family, gene modules, genes, genetic signatures, inflammation, inflammatory profile, interaction, intercellular pathways, lesion edge, lesion pathogenesis, lesion type, lesions, lesions of patients, levels, location, matter, mitochondrial genes, modification, modulation, multi-omics, multiple sclerosis, network, neurons, non-neurological controls, non-neurological disease controls, oligodendrocytes, pathogenesis, pathway, patients, periphery, perspective, phenotype, profile, progressive MS, progressive multiple sclerosis, regulation, remyelinating lesions, remyelination, sclerosis, signal, signature, single-cell level, single-cell multi-omics, single-nucleus RNA-seq, spatial transcriptomics, specific tendencies, study, subsets, tendency, tissue damage, tissue transcriptome data, transcription, transcriptional modifications, transcriptome, transcriptome data, transferrin, type, uptake signal, white matter

Funders

  • Novo Nordisk Foundation

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