Cortical Pathology in Vanishing White Matter.
Jodie Hon Kiu ManCharlotte A G H van GelderMarjolein BreurDaniel OkkesDouwe MolenaarSophie van der SluisTruus AbbinkMaarten AltelaarMarjo S van der KnaapMarianna BugianiPublished in: Cells (2022)
Vanishing white matter (VWM) is classified as a leukodystrophy with astrocytes as primary drivers in its pathogenesis. Magnetic resonance imaging has documented the progressive thinning of cortices in long-surviving patients. Routine histopathological analyses, however, have not yet pointed to cortical involvement in VWM. Here, we provide a comprehensive analysis of the VWM cortex. We employed high-resolution-mass-spectrometry-based proteomics and immunohistochemistry to gain insight into possible molecular disease mechanisms in the cortices of VWM patients. The proteome analysis revealed 268 differentially expressed proteins in the VWM cortices compared to the controls. A majority of these proteins formed a major protein interaction network. A subsequent gene ontology analysis identified enrichment for terms such as cellular metabolism, particularly mitochondrial activity. Importantly, some of the proteins with the most prominent changes in expression were found in astrocytes, indicating cortical astrocytic involvement. Indeed, we confirmed that VWM cortical astrocytes exhibit morphological changes and are less complex in structure than control cells. Our findings also suggest that these astrocytes are immature and not reactive. Taken together, we provide insights into cortical involvement in VWM, which has to be taken into account when developing therapeutic strategies.
Keyphrases
- end stage renal disease
- white matter
- magnetic resonance imaging
- newly diagnosed
- chronic kidney disease
- ejection fraction
- high resolution mass spectrometry
- prognostic factors
- peritoneal dialysis
- multiple sclerosis
- gene expression
- mass spectrometry
- induced apoptosis
- liquid chromatography
- single cell
- small molecule
- signaling pathway
- ms ms
- binding protein
- high resolution
- patient reported
- network analysis