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Title: | Proteomic analysis reveals distinct cerebrospinal fluid signatures across genetic frontotemporal dementia subtypes |
Authors: | Sogorb-Esteve, A Weiner, S Simrén, J Swift, IJ Bocchetta, M Todd, EG Cash, DM Bouzigues, A Russell, LL Foster, PH Ferry-Bolder, E van Swieten, JC Jiskoot, LC Seelaar, H Sanchez-Valle, R Laforce, R Graff, C Galimberti, D Vandenberghe, R de Mendonça, A Tiraboschi, P Santana, I Gerhard, A Levin, J Sorbi, S Otto, M Pasquier, F Ducharme, S Butler, CR Le Ber, I Finger, E Tartaglia, MC Masellis, M Rowe, JB Synofzik, M Moreno, F Borroni, B Blennow, K Zetterberg, H Rohrer, JD Gobom, J Thomas, DL Cope, T Rittman, T Benussi, A Premi, E Gasparotti, R Archetti, S Gazzina, S Cantoni, V Arighi, A Fenoglio, C Scarpini, E Fumagalli, G Borracci, V Rossi, G Giaccone, G Fede, GD Caroppo, P Prioni, S Radaaelli, V Tang-Wai, D Rogaeva, E Castelo-Branco, M Freedman, M Keren, R Black, S Mitchell, S Shoesmith, C Bartha, R Rademakers, R Poos, J Papma, JM Giannini, L van Minkelen, R Pijnenburg, Y Nacmias, B Ferrari, C Polito, C Lombardi, G Bessi, V Veldsman, M Andersson, C Thonberg, H Öijerstedt, L Jelic, V Thompson, P Langheinrich, T Lladó, A Antonell, A Olives, J Balasa, M Bargalló, N Borrego-Écija, S Verdelho, A Maruta, C Ferreira, CB Miltenberger, G Couto, FSD GENFI ‡ |
Issue Date: | 5-Feb-2025 |
Publisher: | American Association for the Advancement of Science (AAAS) |
Citation: | Sogorb-Esteve, A. et al. on behalf of GENFI ‡ (2025) 'Proteomic analysis reveals distinct cerebrospinal fluid signatures across genetic frontotemporal dementia subtypes', Science Translational Medicine, 17 (784), eadm9654, pp. 1 - 16. doi: 10.1126/scitranslmed.adm9654. |
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. |
Description: | ‡ GENFI investigators are listed at the end of the paper (ORCiD https://orcid.org/0000-0002-9477-1812 ): GENFI authors: In addition to members of GENFI who are co-authors, the following members are collaborators who have contributed to the study design, the recruitment of participants, and the processing of samples at their sites, sending the samples and providing corresponding demographic data of their participants, data analysis, and interpretation: David L. Thomas, Thomas Cope, Timothy Rittman, Alberto Benussi, Enrico Premi, Roberto Gasparotti, Silvana Archetti, Stefano Gazzina, Valentina Cantoni, Andrea Arighi, Chiara Fenoglio, Elio Scarpini, Giorgio Fumagalli, Vittoria Borracci, Giacomina Rossi, Giorgio Giaccone, Giuseppe Di Fede, Paola Caroppo, Pietro Tiraboschi, Sara Prioni, Veronica Radaaelli, David Tang-Wai, Ekaterina Rogaeva, Michel Castelo-Branco, Morris Freedman, Ron Keren, Sandra Black, Sara Mitchell, Christen Shoesmith, Robart Bartha, Rosa Rademakers, Jackie Poos, Janne M. Papma, Lucia Giannini, Rick van Minkelen, Yolande Pijnenburg, Benedetta Nacmias, Camilla Ferrari, Cristina Polito, Gemma Lombardi, Valentina Bessi, Michele Veldsman, Christin Andersson, Hakan Thonberg, Linn Öijerstedt, Vesna Jelic, Paul Thompson, Tobias Langheinrich, Albert Lladó, Anna Antonell, Jaume Olives, Mircea Balasa, Nuria Bargalló, Sergi Borrego-Écija, Ana Verdelho, Carolina Maruta, Catarina B. Ferreira, Gabriel Miltenberger, Frederico Simões do Couto, Alazne Gabilondo, Jorge Villanua, Marta Cañada, Mikel Tainta, Miren Zulaica, Myriam Barandiaran, Patricia Alves, Benjamin Bender, Carlo Wilke, Lisa Graf, Annick Vogels, Mathieu Vandenbulcke, Philip van Damme, Rose Buffaerts, Koen Poesen, Pedro Rosa-Neto, Serge Gauthier, Agnès Camuzat, Alexis Brice, Anne Bertrand, Aurélie Funkiewiez, Daisy Rinaldi, Dario Saracino, Olivier Colliot, Sabrina Sayah, Catharina Prix, Elisabeth Wlasich, Olivia Wagemann, Sandra Loosli, Sonja Schönecker, Tobias Hoegen, Jolina Lombardi, Sarah Anderl-Straub, Adeline Rollin, Gregory Kuchcinski, Maxime Bertoux, Thibaud Lebouvier, Vincent Deramecourt, Beatriz Santiago, Diana Duro, Maria João Leitão, Maria Rosario Almeida, Miguel Tábuas-Pereira, Sónia Afonso. Editor’s summary: Familial frontotemporal dementia (FTD) is caused by mutations in risk genes, most commonly C9orf72, MAPT, or GRN. Here, Sogorb-Esteve et al. used untargeted mass spectrometry of cerebrospinal fluid samples from presymptomatic and symptomatic carriers of these three risk genes to characterize distinct and shared proteomic alterations. Weighted gene coexpression network analysis allowed grouping FTD-dysregulated proteins into modules with high coexpression patterns, highlighting potentially dysregulated biological pathways, such as “core markers,” “synapse,” and “actin binding.” The expression of a subset of these modules was correlated with clinical scores. These results provide a useful resource for FTD research and disease marker development. —Daniela Neuhofer Supplementary Materials are available online at: https://www.science.org/doi/10.1126/scitranslmed.adm9654#supplementary-materials . |
URI: | https://bura.brunel.ac.uk/handle/2438/31803 |
DOI: | https://doi.org/10.1126/scitranslmed.adm9654 |
ISSN: | 1946-6234 |
Other Identifiers: | ORCiD: Aitana Sogorb-Esteve https://orcid.org/0000-0002-7869-8192 ORCiD: Sophia Weiner https://orcid.org/0009-0000-2298-220X ORCiD: Joel Simrén https://orcid.org/0000-0001-5081-6604 ORCiD: Martina Bocchetta https://orcid.org/0000-0003-1814-5024 ORCiD: Emily G. Todd https://orcid.org/0000-0003-1551-5691 ORCiD: David M. Cash https://orcid.org/0000-0001-7833-616X ORCiD: Arabella Bouzigues https://orcid.org/0000-0002-0267-8590 ORCiD: Lucy L. Russell https://orcid.org/0000-0001-5023-5893 ORCiD: Lize C. Jiskoot https://orcid.org/0000-0002-1120-1858 ORCiD: Harro Seelaar https://orcid.org/0000-0003-1989-7527 ORCiD: Raquel Sanchez-Valle https://orcid.org/0000-0001-7750-896X ORCiD: Caroline Graff https://orcid.org/0000-0002-9949-2951 ORCiD: Daniela Galimberti https://orcid.org/0000-0002-9284-5953 ORCiD: Rik Vandenberghe https://orcid.org/0000-0001-6237-2502 ORCiD: Alexandre de Mendonça https://orcid.org/0000-0002-0488-1453 ORCiD: Isabel Santana https://orcid.org/0000-0002-8114-9434 ORCiD: Alexander Gerhard https://orcid.org/0000-0002-8071-6062 ORCiD: Johannes Levin https://orcid.org/0000-0001-5092-4306 ORCiD: Sandro Sorbi https://orcid.org/0000-0002-0380-6670 ORCiD: Markus Otto https://orcid.org/0000-0003-4273-4267 ORCiD: Chris R. Butler https://orcid.org/0000-0002-7502-9284 ORCiD: Elizabeth Finger https://orcid.org/0000-0003-4461-7427 ORCiD: Maria Carmela Tartaglia https://orcid.org/0000-0002-5944-8497 ORCiD: James B. Rowe https://orcid.org/0000-0001-7216-8679 ORCiD: Matthis Synofzik https://orcid.org/0000-0002-2280-7273 ORCiD: Fermin Moreno https://orcid.org/0000-0001-5200-3164 ORCiD: Barbara Borroni https://orcid.org/0000-0001-9340-9814 ORCiD: GENFI ‡ https://orcid.org/0000-0002-9477-1812 ORCiD: Kaj Blennow https://orcid.org/0000-0002-1890-4193 ORCiD: Henrik Zetterberg https://orcid.org/0000-0003-3930-4354 ORCiD: Jonathan D. Rohrer https://orcid.org/0000-0002-6155-8417 ORCiD: Johan Gobom https://orcid.org/0000-0001-6193-6193 Article number: eadm9654 |
Appears in Collections: | Dept of Life Sciences Research Papers |
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FullText.pdf | Copyright © 2025 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. This is the authors' version of the work. It is posted here by permission of the AAAS for personal use, not for redistribution. The definitive version was published in [cience Translational Medicine, Vol. 17 No. 784], on 5 Feb 2025, DOI: 10.1126/scitranslmed.adm965 (see: https://www.science.org/content/page/science-journals-editorial-policies#copyright-license-to-publish). | 9.05 MB | Adobe PDF | View/Open |
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