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

  • Aitana Sogorb-Esteve
  • , Sophia Weiner
  • , Joel Simrén
  • , GENFI
  • , 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
  • University College London
  • University of Gothenburg
  • Brunel University London
  • University of Barcelona
  • Université Laval
  • Karolinska Institutet
  • Karolinska University Hospital
  • IRCCS Fondazione Ca'Granda – Ospedale Maggiore Policlinico - Milano
  • University of Milan
  • KU Leuven
  • University Hospitals Leuven
  • Leuven Brain Institute
  • Faculdade de Medicina de Lisboa
  • IRCCS Fondazione Istituto Neurologico Carlo Besta - Milano
  • University of Coimbra
  • University of Manchester
  • University of Duisburg-Essen
  • Ludwig Maximilian University of Munich
  • German Center for Neurodegenerative Diseases
  • Munich Cluster for Systems Neurology (SyNergy)
  • University of Florence
  • IRCCS Fondazione Don Carlo Gnocchi - Milano
  • Ulm University
  • Martin Luther University Halle-Wittenberg
  • Université de Lille
  • McGill University
  • McConnell Brain Imaging Centre
  • University of Oxford
  • Imperial College London
  • Sorbonne Université
  • Western University
  • University of Toronto
  • University of Cambridge
  • University of Tübingen
  • Hospital Universitario Donostia
  • Instituto de Investigación Sanitaria Biodonostia
  • University of Brescia
  • Department of Continuity of Care and Frialy
  • Sahlgrenska University Hospital
  • University of Science and Technology of China
  • Hong Kong Center for Neurodegenerative Diseases
  • University of Wisconsin-Madison

Research output: Contribution to journal › Article › Academic › peer-review

14 Citations (Scopus)
20 Downloads (Pure)

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.

Original languageEnglish
Article numbereadm9654
Pages (from-to)eadm9654
JournalScience Translational Medicine
Volume17
Issue number784
DOIs
Publication statusPublished - 5 Feb 2025

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Copyright © 2025 The Authors, some rights reserved.

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