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Updated: May 8, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
Published on: June 26, 2013
Spatially resolved gene signatures of white matter lesion progression in multiple sclerosis
Astrid M Alsema1,2, Marion H C Wijering1,2, Anneke Miedema1,2
1Department of Biomedical Sciences, Section Molecular Neurobiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Abstract:
Multiple sclerosis (MS) is an inflammatory disease of the central nervous system characterized by myelin loss and progressive neurodegeneration. To understand MS lesion initiation and progression, we generate spatial gene expression maps of white matter (WM) and grey matter (GM) MS lesions. In different MS lesion types, we detect domains characterized by a distinct gene signature, including an identifiable rim around active WM lesions. Expression changes in astrocyte-specific, oligodendrocyte-specific and microglia-specific gene sets characterize the active lesion rims. Furthermore, we identify three WM lesion progression trajectories, predicting how normal-appearing WM can develop into WM active or mixed active-inactive lesions. Our data shed light on the dynamic progression of MS lesions.
Insights
Researchers mapped gene expression in multiple sclerosis (MS) lesions to understand disease progression. They identified distinct gene signatures in active lesions and pathways predicting how normal white matter develops into MS lesions.
Area of Science:
- Neuroscience
- Immunology
- Genomics
Background:
- Multiple sclerosis (MS) is a central nervous system inflammatory disease.
- It involves myelin loss and neurodegeneration.
- Understanding MS lesion initiation and progression is crucial.
Purpose of the Study:
- To generate spatial gene expression maps of white matter (WM) and grey matter (GM) MS lesions.
- To identify molecular signatures associated with MS lesion activity and progression.
- To elucidate the dynamic changes in the central nervous system during MS.
Main Methods:
- Spatial gene expression mapping of MS lesions in white matter and grey matter.
- Analysis of gene signatures in different MS lesion types, focusing on active lesion rims.
- Identification of WM lesion progression trajectories using gene expression data.
Main Results:
- Distinct gene expression domains were identified in various MS lesion types.
- Active MS lesion rims showed characteristic expression changes in astrocyte, oligodendrocyte, and microglia genes.
- Three distinct WM lesion progression trajectories were identified, predicting the evolution of normal-appearing WM.
Conclusions:
- Spatial gene expression mapping provides insights into MS lesion heterogeneity.
- Specific gene expression patterns characterize active MS lesion rims and progression.
- The study elucidates dynamic pathways of MS lesion development in the central nervous system.
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