Proteomics of mouse brain endothelium uncovers dysregulation of vesicular transport pathways during aging

Todorov-Voelgyi, Katalin; Gonzalez-Gallego, Judit; Mueller, Stephan A.; Beaufort, Nathalie; Malik, Rainer; Schifferer, Martina; Todorov, Mihail Ivilinov; Crusius, Dennis; Robinson, Sophie; Schmidt, Andree; Koerbelin, Jakob; Bareyre, Florence; Ertuerk, Ali; Haass, Christian; Simons, Mikael; Paquet, Dominik; Lichtenthaler, Stefan F. und Dichgans, Martin (2024): Proteomics of mouse brain endothelium uncovers dysregulation of vesicular transport pathways during aging. In: Nature Aging, Bd. 4, Nr. 4

Abstract

Age-related decline in brain endothelial cell (BEC) function contributes critically to neurological disease. Comprehensive atlases of the BEC transcriptome have become available, but results from proteomic profiling are lacking. To gain insights into endothelial pathways affected by aging, we developed a magnetic-activated cell sorting-based mouse BEC enrichment protocol compatible with proteomics and resolved the profiles of protein abundance changes during aging. Unsupervised cluster analysis revealed a segregation of age-related protein dynamics with biological functions, including a downregulation of vesicle-mediated transport. We found a dysregulation of key regulators of endocytosis and receptor recycling (most prominently Arf6), macropinocytosis and lysosomal degradation. In gene deletion and overexpression experiments, Arf6 affected endocytosis pathways in endothelial cells. Our approach uncovered changes not picked up by transcriptomic studies, such as accumulation of vesicle cargo and receptor ligands, including Apoe. Proteomic analysis of BECs from Apoe-deficient mice revealed a signature of accelerated aging. Our findings provide a resource for analysing BEC function during aging. Todorov-Volgyi, Gonzalez-Gallego et al. provide a proteomic profiling of brain endothelium during aging to unveil changes undetected in transcriptomic studies, identifying a dysregulation of proteins involved in vesicle-mediated transport pathways, most prominently Arf6.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Medizin > Munich Cluster for Systems Neurology (SyNergy)
• Themengebiete: 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit
• Sprache: Englisch
• DFG: Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 390857198