Article
Large-scale network analysis of the cerebrospinal fluid proteome identifies molecular signatures of frontotemporal lobar degeneration.
Nature aging - 1 Jun 2025
Saloner Rowan, Staffaroni Adam M, Dammer Eric B, Johnson Erik C B, Paolillo Emily W, Wise Amy, Heuer Hilary W, Forsberg Leah K, Lario-Lago Argentina, Webb Julia D, Vogel Jacob W, Santillo Alexander F, Hansson Oskar, Kramer Joel H, Miller Bruce L, Li Jingyao, Loureiro Joseph, Sivasankaran Rajeev, Worringer Kathleen A, Seyfried Nicholas T, Yokoyama Jennifer S, Spina Salvatore, Grinberg Lea T, Seeley William W, VandeVrede Lawren, Ljubenkov Peter A, Bayram Ece, Bozoki Andrea, Brushaber Danielle, Considine Ciaran M, Day Gregory S, Dickerson Bradford C, Domoto-Reilly Kimiko, Faber Kelley, Galasko Douglas R, Gendron Tania, Geschwind Daniel H, Ghoshal Nupur, Graff-Radford Neill, Hales Chadwick M, Honig Lawrence S, Hsiung Ging-Yuek R, Huey Edward D, Kornak John, Kremers Walter, Lapid Maria I, Lee Suzee E, Litvan Irene, McMillan Corey T, Mendez Mario F, Miyagawa Toji, Pantelyat Alexander, Pascual Belen, Masdeu Joseph, Paulson Henry L, Petrucelli Leonard, Pressman Peter, Rademakers Rosa, Ramos Eliana Marisa, Rascovsky Katya, Roberson Erik D, Savica Rodolfo, Snyder Allison, Sullivan Anna Campbell, Tartaglia M Carmela, Vandebergh Marijne, Boeve Brad F, Rosen Howie J, Rojas Julio C, Boxer Adam L, Casaletto Kaitlin B
Abstract excerpt
The pathophysiological mechanisms driving disease progression of frontotemporal lobar degeneration (FTLD) and corresponding biomarkers are not fully understood. Here we leveraged aptamer-based proteomics (>4,000 proteins) to identify dysregulated communities of co-expressed cerebrospinal fluid proteins in 116 adults carrying autosomal dominant FTLD mutations (C9orf72, GRN and MAPT) compared with 39 non-carrier...
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