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

IF 14.6 1区 医学 Q1 CELL BIOLOGY Science Translational Medicine Pub Date : 2025-02-05
Aitana Sogorb-Esteve, Sophia Weiner, Joel Simrén, Imogen J. Swift, Martina Bocchetta, Emily G. 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 Sanchez-Valle, Robert Laforce, Caroline Graff, Daniela Galimberti, Rik Vandenberghe, Alexandre de Mendonça, Pietro Tiraboschi, Isabel Santana, Alexander Gerhard, Johannes Levin, Sandro Sorbi, Markus Otto, Florence Pasquier, Simon Ducharme, Chris R. Butler, Isabelle Le Ber, Elizabeth Finger, Maria Carmela Tartaglia, Mario Masellis, James B. Rowe, Matthis Synofzik, Fermin Moreno, Barbara Borroni, GENFI, Kaj Blennow, Henrik Zetterberg, Jonathan D. Rohrer, Johan Gobom
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Abstract

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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蛋白质组分析揭示了不同遗传性额颞叶痴呆亚型的脑脊液特征
我们使用了一种非靶向质谱方法,串联质量标签蛋白质组学,用于鉴定遗传性额颞叶痴呆(FTD)的蛋白质组学特征。来自遗传FTD计划的238份脑脊液样本进行了分析,包括107份症状前(44份C9orf72、38份GRN和25份MAPT)和55份症状性(27份C9orf72、17份GRN和11份MAPT)突变携带者以及76份突变阴性对照(“非携带者”)的样本。我们发现在FTD的每种遗传形式中都有共同的和不同的蛋白质组学改变。与非携带者相比,在症状突变携带者中显著改变的蛋白质中,我们发现一组蛋白质,包括神经元戊烷素2和脂肪酸结合蛋白3,在所有三种遗传形式的FTD和阿尔茨海默病患者中都发生了变化。我们观察到在有症状的突变携带者中溶酶体蛋白的差异变化,在MAPT携带者中丰度显著降低,而在其他携带者中没有。此外,我们发现突变相关的蛋白质组学变化在症状前突变携带者中已经很明显。加权基因共表达网络分析结合基因本体论注释揭示了在神经退行性变和胶质反应以及突触或溶酶体相关蛋白中富集的蛋白质簇,表明这些是受遗传性FTD影响的主要生物学过程。这些群集与疾病严重程度的测量相关,并与认知能力下降有关。这项研究揭示了遗传性FTD患者脑脊液中明显的蛋白质组变化,为该疾病的病理过程提供了见解。此外,我们确定了值得进一步探索的蛋白作为诊断和预后生物标志物候选物。
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来源期刊
Science Translational Medicine
Science Translational Medicine CELL BIOLOGY-MEDICINE, RESEARCH & EXPERIMENTAL
CiteScore
26.70
自引率
1.20%
发文量
309
审稿时长
1.7 months
期刊介绍: Science Translational Medicine is an online journal that focuses on publishing research at the intersection of science, engineering, and medicine. The goal of the journal is to promote human health by providing a platform for researchers from various disciplines to communicate their latest advancements in biomedical, translational, and clinical research. The journal aims to address the slow translation of scientific knowledge into effective treatments and health measures. It publishes articles that fill the knowledge gaps between preclinical research and medical applications, with a focus on accelerating the translation of knowledge into new ways of preventing, diagnosing, and treating human diseases. The scope of Science Translational Medicine includes various areas such as cardiovascular disease, immunology/vaccines, metabolism/diabetes/obesity, neuroscience/neurology/psychiatry, cancer, infectious diseases, policy, behavior, bioengineering, chemical genomics/drug discovery, imaging, applied physical sciences, medical nanotechnology, drug delivery, biomarkers, gene therapy/regenerative medicine, toxicology and pharmacokinetics, data mining, cell culture, animal and human studies, medical informatics, and other interdisciplinary approaches to medicine. The target audience of the journal includes researchers and management in academia, government, and the biotechnology and pharmaceutical industries. It is also relevant to physician scientists, regulators, policy makers, investors, business developers, and funding agencies.
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