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Record W4293771139 · doi:10.1186/s13195-022-01042-3

Differential impairment of cerebrospinal fluid synaptic biomarkers in the genetic forms of frontotemporal dementia

2022· article· en· W4293771139 on OpenAlexafffund
Aitana Sogorb‐Esteve, Johanna Nilsson, Imogen J. Swift, Carolin Heller, Martina Bocchetta, Lucy L. Russell, Georgia Peakman, Rhian S. Convery, John C. van Swieten, Harro Seelaar, Barbara Borroni, Daniela Galimberti, Raquel Sánchez‐Valle, Robert Laforce, Fermín Moreno, Matthis Synofzik, Caroline Graff, Mario Masellis, Maria Carmela Tartaglia, James B. Rowe, Rik Vandenberghe, Elizabeth Finger, Fabrizio Tagliavini, Isabel Santana, Christopher Butler, Simon Ducharme, Alexander Gerhard, Adrian Danek, Johannes Levin, Markus Otto, Sandro Sorbi, Isabelle Le Ber, Florence Pasquier, Johan Gobom, Ann Brinkmalm, Kaj Blennow, Henrik Zetterberg, Jonathan D. Rohrer, Annabel Nelson, Arabella Bouzigues, Caroline Greaves, David M. Cash, David L. Thomas, Emily Todd, Hanya Benotmane, Jennifer Nicholas, Kiran Samra, Rachelle Shafei, Carolyn Timberlake, 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 Redaelli, David F. Tang‐Wai, Ekaterina Rogaeva, Miguel Castelo‐Branco, Morris Freedman, Ron Keren, Sandra E. Black, Sara Mitchell, Christen Shoesmith, Rosa Rademakers, Jackie M. Poos, Janne M. Papma, Lucia Giannini, Rick van Minkelen, Yolande A.L. Pijnenburg, Benedetta Nacmias, Camilla Ferrari, Cristina Polito, Gemma Lombardi, Valentina Bessi, Michele Veldsman, Christin Andersson, Håkan Thonberg, Linn Öijerstedt, Vesna Jelić, Paul Thompson, Tobias Langheinrich, Albert Lladó, Anna Antonell, Jaume Olives, Mircea Balasa, Núria Bargalló, Sergi Borrego‐Écija, Alexandre de Mendonça, Ana Verdelho, Carolina Maruta, Catarina B. Ferreira, Gabriel Miltenberger, Frederico Simões do Couto, Alazne Gabilondo, Ana Gorostidi, Jorge Villanúa, Marta Cañada, Mikel Tainta, Miren Zulaica, Myriam Barandiarán, Patricia Alves, Benjamin Bender, Carlo Wilke, Lisa Graf, Annick Vogels, Mathieu Vandenbulcke, Philip Van Damme, Rose Bruffaerts, 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, Grégory Kuchcinski, Maxime Bertoux, Thibaud Lebouvier, Vincent Deramecourt, Beatriz Santiago, Diana Duro, Maria João Leitão, Maria Rosário Almeida, Miguel Tábuas‐Pereira, Sònia Afonso

Bibliographic record

VenueAlzheimer s Research & Therapy · 2022
Typearticle
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsMcGill UniversityDouglas Mental Health University InstituteWestern UniversityMontreal Neurological Institute and HospitalUniversity of TorontoOccupational Cancer Research CentreHealth Sciences CentreSunnybrook Health Science CentreUniversité Laval
FundersNIHR Cambridge Biomedical Research CentreSahlgrenska AkademinMedical Research CouncilOlav Thon StiftelsenUK Dementia Research InstituteStichting DioraphteUniversität UlmUniversität Duisburg-EssenGöteborgs UniversitetDeutsches Zentrum für Neurodegenerative ErkrankungenFondazione I.R.C.C.S. Istituto Neurologico Carlo BestaUniversità degli Studi di MilanoEU Joint Programme – Neurodegenerative Disease ResearchUniversità degli Studi di FirenzeVetenskapsrådetCambridge University HospitalsStockholms Läns LandstingKU LeuvenUniversidade de CoimbraImperial College LondonUniversity of TorontoNederlandse Organisatie voor Wetenschappelijk OnderzoekBundesministerium für Bildung und ForschungFondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoAlzheimer NederlandEberhard Karls Universität TübingenHjärnfondenSahlgrenska UniversitetssjukhusetUniversity of OxfordZonMwUniversity of CambridgeNational Institute for Health and Care ResearchFamiljen Erling-Perssons StiftelseSunnybrook Research InstituteEuropean CommissionUniversité de LilleWeston Brain InstituteAlzheimer's Drug Discovery FoundationBrain Research UKMinistero della SaluteInstitut National de la Santé et de la Recherche MédicaleAgence Nationale de la RechercheCanadian Institutes of Health ResearchAlzheimer's SocietyWellcome TrustSorbonne UniversitéAlzheimer's AssociationStiftelsen för Gamla TjänarinnorCentro de Investigación Biomédica en Red sobre Enfermedades NeurodegenerativasCentre National de la Recherche ScientifiqueWolfson FoundationMcGill University
KeywordsFrontotemporal dementiaCerebrospinal fluidNeurologyDementiaNeuroscienceMedicineDifferential diagnosisPathologyPsychiatryPsychologyDisease

Abstract

fetched live from OpenAlex

BACKGROUND: Approximately a third of frontotemporal dementia (FTD) is genetic with mutations in three genes accounting for most of the inheritance: C9orf72, GRN, and MAPT. Impaired synaptic health is a common mechanism in all three genetic variants, so developing fluid biomarkers of this process could be useful as a readout of cellular dysfunction within therapeutic trials. METHODS: A total of 193 cerebrospinal fluid (CSF) samples from the GENetic FTD Initiative including 77 presymptomatic (31 C9orf72, 23 GRN, 23 MAPT) and 55 symptomatic (26 C9orf72, 17 GRN, 12 MAPT) mutation carriers as well as 61 mutation-negative controls were measured using a microflow LC PRM-MS set-up targeting 15 synaptic proteins: AP-2 complex subunit beta, complexin-2, beta-synuclein, gamma-synuclein, 14-3-3 proteins (eta, epsilon, zeta/delta), neurogranin, Rab GDP dissociation inhibitor alpha (Rab GDI alpha), syntaxin-1B, syntaxin-7, phosphatidylethanolamine-binding protein 1 (PEBP-1), neuronal pentraxin receptor (NPTXR), neuronal pentraxin 1 (NPTX1), and neuronal pentraxin 2 (NPTX2). Mutation carrier groups were compared to each other and to controls using a bootstrapped linear regression model, adjusting for age and sex. RESULTS: CSF levels of eight proteins were increased only in symptomatic MAPT mutation carriers (compared with controls) and not in symptomatic C9orf72 or GRN mutation carriers: beta-synuclein, gamma-synuclein, 14-3-3-eta, neurogranin, Rab GDI alpha, syntaxin-1B, syntaxin-7, and PEBP-1, with three other proteins increased in MAPT mutation carriers compared with the other genetic groups (AP-2 complex subunit beta, complexin-2, and 14-3-3 zeta/delta). In contrast, CSF NPTX1 and NPTX2 levels were affected in all three genetic groups (decreased compared with controls), with NPTXR concentrations being affected in C9orf72 and GRN mutation carriers only (decreased compared with controls). No changes were seen in the CSF levels of these proteins in presymptomatic mutation carriers. Concentrations of the neuronal pentraxins were correlated with brain volumes in the presymptomatic period for the C9orf72 and GRN groups, suggesting that they become abnormal in proximity to symptom onset. CONCLUSIONS: Differential synaptic impairment is seen in the genetic forms of FTD, with abnormalities in multiple measures in those with MAPT mutations, but only changes in neuronal pentraxins within the GRN and C9orf72 mutation groups. Such markers may be useful in future trials as measures of synaptic dysfunction, but further work is needed to understand how these markers change throughout the course of the disease.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.642
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.094
GPT teacher head0.368
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations38
Published2022
Admission routes2
Has abstractyes

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