Proteomic analysis reveals distinct cerebrospinal fluid signatures across genetic frontotemporal dementia subtypes

失智症 C9orf72 生物 蛋白质组学 突变 神经退行性变 肌萎缩侧索硬化 阿尔茨海默病 痴呆 串联质量标签 遗传学 疾病 定量蛋白质组学 基因 病理 医学
作者
Aitana Sogorb‐Esteve,Sophia Weiner,Joel Simrén,Imogen J. Swift,Martina Bocchetta,Emily Todd,David M. Cash,Arabella Bouzigues,Lucy L. Russell,Phoebe H. Foster,Eve Ferry‐Bolder,John C. van Swieten,Lize C. Jiskoot,Harro Seelaar,Raquel Sánchez‐Valle,Robert Laforce,Caroline Graff,Daniela Galimberti,Rik Vandenberghe,Alexandre de Mendonça
出处
期刊:Science Translational Medicine [American Association for the Advancement of Science]
卷期号:17 (784) 被引量:6
标识
DOI:10.1126/scitranslmed.adm9654
摘要

We used an untargeted mass spectrometric approach, tandem mass tag proteomics, for the identification of proteomic signatures in genetic frontotemporal dementia (FTD). A total of 238 cerebrospinal fluid (CSF) samples from the Genetic FTD Initiative were analyzed, including samples from 107 presymptomatic (44 C9orf72 , 38 GRN , and 25 MAPT ) and 55 symptomatic (27 C9orf72 , 17 GRN , and 11 MAPT ) mutation carriers as well as 76 mutation-negative controls (“noncarriers”). We found shared and distinct proteomic alterations in each genetic form of FTD. Among the proteins significantly altered in symptomatic mutation carriers compared with noncarriers, we found that a set of proteins including neuronal pentraxin 2 and fatty acid binding protein 3 changed across all three genetic forms of FTD and patients with Alzheimer’s disease from previously published datasets. We observed differential changes in lysosomal proteins among symptomatic mutation carriers with marked abundance decreases in MAPT carriers but not other carriers. Further, we identified mutation-associated proteomic changes already evident in presymptomatic mutation carriers. Weighted gene coexpression network analysis combined with gene ontology annotation revealed clusters of proteins enriched in neurodegeneration and glial responses as well as synapse- or lysosome-related proteins indicating that these are the central biological processes affected in genetic FTD. These clusters correlated with measures of disease severity and were associated with cognitive decline. This study revealed distinct proteomic changes in the CSF of patients with genetic FTD, providing insights into the pathological processes involved in the disease. In addition, we identified proteins that warrant further exploration as diagnostic and prognostic biomarker candidates.
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