Biochemical and metabolic maladaption defines pathological niches in progressive multiple sclerosis
Grant-Peters, M.; Rich-Griffin, C.; Yeung, H.-Y.; Thomas, T.; Davis, S.; Azizian, M.; Fisher, J.; Fischer, R.; Cinque, G. A.; Dendrou, C. A.
Show abstract
Progressive multiple sclerosis (MS) is driven by demyelination, neuroaxonal loss, and mitochondrial damage occurring behind a closed blood-brain barrier (BBB).1,2 Patients with progressive MS typically fail to respond to available immunomodulatory drugs that reduce relapses in early disease.2 This indicates a dire need to identify non-canonical therapeutic avenues to limit neurodegeneration and promote protection and repair.3 Here, we have employed high-resolution multiomic profiling to characterise the biochemical and metabolic adaptations underpinning MS pathology, as these have been incompletely described but critically, may be amenable to BBB-permeable drug targeting. Using synchrotron radiation (SR)- and focal plane array (FPA)-based Fourier transform infrared microspectroscopy (FTIR), we spatially mapped the biochemical features present in human progressive MS and control post-mortem brain and rare spinal cord tissue. By employing single-nuclear RNA sequencing (snRNA-seq), 10x Genomics Visium spatial transcriptomics and spatial proteomics to resolve their cellular context, we found that these biochemical features provide a uniquely and highly disease-specific barcode for distinct pathological niches within the tissue. Characterisation of the metabolic processes underpinning these niches revealed an associated re-organisation of the astrocytic landscape in the grey and white matter, with implications for the treatment of progressive MS.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A comparative transcriptomic analysis of mouse demyelination models and Multiple Sclerosis lesions 93%
- Implication of DNA methylation changes at chromosome 1q21.1 in the brain pathology of Primary Progressive Multiple Sclerosis 93%
- Impact of genetic susceptibility to multiple sclerosis on the T cell epigenome: proximal and distal effects 93%
Similar papers in this journal
- Meningeal inflammation in multiple sclerosis induces phenotypic changes in cortical microglia that differentially associate with neurodegeneration 94%
- Single-cell transcriptomic landscape of the neuroimmune compartment in amyotrophic lateral sclerosis brain and spinal cord 92%
- From methylation to myelination: epigenomic and transcriptomic profiling of chronic inactive demyelinated multiple sclerosis lesions 92%
Similar papers in this journal
- Augmentation of a neuroprotective myeloid state by hematopoietic cell transplantation 93%
- Large-Scale Deep Multi-Layer Analysis of Alzheimer's Disease Brain Reveals Strong Proteomic Disease-Related Changes Not Observed at the RNA Level 92%
- Phenotypic and genetic associations of quantitative magnetic susceptibility in UK Biobank brain imaging 92%
Similar papers in this journal
- Applying high-resolution spatial transcriptomics to characterise the amyloid plaque cell niche in Alzheimer's Disease 93%
- ALS molecular subtypes are a combination of cellular, genetic, and pathological features learned by deep multiomics classifiers 92%
- Natural genetic variation determines microglia heterogeneity in wild-derived mouse models of Alzheimer's disease 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.