Spatial transcriptomics of meningeal inflammation reveals inflammatory gene signatures in adjacent brain parenchyma.

experimental autoimmune encephalomyelitis gray matter degeneration immunology inflammation meningeal inflammation mouse multiple sclerosis neuroscience spatial transcriptomics

Journal

eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614

Informations de publication

Date de publication:
30 Oct 2024
Historique:
medline: 31 10 2024
pubmed: 30 10 2024
entrez: 30 10 2024
Statut: epublish

Résumé

While modern high efficacy disease modifying therapies have revolutionized the treatment of relapsing-remitting multiple sclerosis, they are less effective at controlling progressive forms of the disease. Meningeal inflammation is a recognized risk factor for cortical gray matter pathology which can result in disabling symptoms such as cognitive impairment and depression, but the mechanisms linking meningeal inflammation and gray matter pathology remain unclear. Here, we performed magnetic resonance imaging (MRI)-guided spatial transcriptomics in a mouse model of autoimmune meningeal inflammation to characterize the transcriptional signature in areas of meningeal inflammation and the underlying brain parenchyma. We found broadly increased activity of inflammatory signaling pathways at sites of meningeal inflammation, but only a subset of these pathways active in the adjacent brain parenchyma. Subclustering of regions adjacent to meningeal inflammation revealed the subset of immune programs induced in brain parenchyma, notably complement signaling and antigen processing/presentation. Trajectory gene and gene set modeling analysis confirmed variable penetration of immune signatures originating from meningeal inflammation into the adjacent brain tissue. This work contributes a valuable data resource to the field, provides the first detailed spatial transcriptomic characterization in a model of meningeal inflammation, and highlights several candidate pathways in the pathogenesis of gray matter pathology.

Identifiants

pubmed: 39475792
doi: 10.7554/eLife.88414
pii: 88414
doi:
pii:

Banques de données

GEO
['GSE236963']

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Multiple Sclerosis Society
ID : FAN-2106-37832
Organisme : National Multiple Sclerosis Society
ID : JF-2007-36755

Informations de copyright

© 2023, Gadani, Singh et al.

Déclaration de conflit d'intérêts

SG, SS, SK, JH, MS, PC, PB No competing interests declared

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Auteurs

Sachin P Gadani (SP)

Division of Neuroimmunology, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, United States.
Department of Neurology, University of Pittsburgh, Pittsburgh, United States.

Saumitra Singh (S)

Division of Neuroimmunology, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, United States.

Sophia Kim (S)

Division of Neuroimmunology, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, United States.

Jingwen Hu (J)

Division of Neuroimmunology, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, United States.

Matthew D Smith (MD)

Division of Neuroimmunology, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, United States.

Peter A Calabresi (PA)

Division of Neuroimmunology, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, United States.
Solomon Snyder, Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, United States.

Pavan Bhargava (P)

Division of Neuroimmunology, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, United States.

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