ArticleAnnals of clinical and translational neurology2024
Proteomic networks of gray and white matter reveal tissue-specific changes in human tauopathy.
Article in Annals of clinical and translational neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Mass spectrometry-based proteomic profiling of human tauopathy brains suggests mitochondria-associated alterations.Frontiers in molecular neuroscience · 2026Article
- Interrogating the plasma proteome of repetitive head impact exposure and chronic traumatic encephalopathy.Molecular neurodegeneration · 2025Article
- EBF1 is a potential biomarker for predicting progression from mild cognitive impairment to Alzheimer's disease: anFrontiers in aging neuroscience · 2024Article
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Authors and funding
6 authors.
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Abstract
objectiveTo define tauopathy-associated changes in the human gray and white matter proteome.
methodWe applied tandem mass tagged labeling and mass spectrometry, consensus, and ratio weighted gene correlation network analysis (WGCNA) to gray and white matter sampled from postmortem human dorsolateral prefrontal cortex. The sampled tissues included control as well as Alzheimer's disease, corticobasal degeneration, progressive supranuclear palsy, frontotemporal degeneration with tau pathology, and chronic traumatic encephalopathy.
resultsOnly eight proteins were unique to gray matter while six were unique to white matter. Comparison of the gray and white matter proteome revealed an enrichment of microglial proteins in the white matter. Consensus WGCNA sorted over 6700 protein isoforms into 46 consensus modules across the gray and white matter proteomic networks. Consensus network modules demonstrated unique and shared disease-associated microglial and endothelial protein changes. Ratio WGCNA sorted over 6500 protein ratios (white:gray) into 33 modules. Modules associated with mitochondrial proteins and processes demonstrated higher white:gray ratios in diseased tissues relative to control, driven by mitochondrial protein downregulation in gray and upregulation in white.
interpretationThe dataset is a valuable resource for understanding proteomic changes in human tauopathy gray and white matter. The identification of unique and shared disease-associated changes across gray and white matter emphasizes the utility of examining both tissue types. Future studies of microglial, endothelial, and mitochondrial changes in white matter may provide novel insights into tauopathy-associated changes in human brain.
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