Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/26189
Title: Temporal order of clinical and biomarker changes in familial frontotemporal dementia
Authors: Staffaroni, AM
Quintana, M
Wendelberger, B
Heuer, HW
Russell, LL
Cobigo, Y
Wolf, A
Goh, S-YM
Petrucelli, L
Gendron, TF
Heller, C
Ramanan, VK
Ramos, EM
Rao, M
Rascovsky, K
Rankin, KP
Roberson, ED
Savica, R
Tartaglia, MC
Weintraub, S
Wong, B
Cash, DM
Bouzigues, A
Swift, IJ
Peakman, G
Bocchetta, M
Todd, EG
Convery, RS
Rowe, JB
Borroni, B
Galimberti, D
Tiraboschi, P
Masellis, M
Finger, E
van Swieten, JC
Seelaar, H
Jiskoot, LC
Sorbi, S
Butler, CR
Graff, C
Gerhard, A
Langheinrich, T
Laforce, R
Sanchez-Valle, R
de Mendonça, A
Moreno, F
Synofzik, M
Vandenberghe, R
Ducharme, S
Le Ber, I
Levin, J
Danek, A
Otto, M
Pasquier, F
Santana, I
Kornak, J
Boeve, BF
Rosen, HJ
Rohrer, JD
Boxer, AL
Frontotemporal Dementia Prevention Initiative (FPI) Investigators
Clark, AL
Taylor, JC
Wise, A
Ong, E
Forsberg, L
Brushaber, D
Rojas, JC
VandeVrede, L
Ljubenkov, P
Kramer, J
Casaletto, KB
Appleby, B
Bordelon, Y
Botha, H
Dickerson, BC
Domoto-Reilly, K
Fields, JA
Foroud, T
Gavrilova, R
Geschwind, D
Ghoshal, N
Goldman, J
Graff-Radford, J
Graff-Radford, N
Grossman, M
Hall, MGH
Hsiung, G-Y
Huey, ED
Irwin, D
Jones, DT
Kantarci, K
Kaufer, D
Knopman, D
Kremers, W
Lago, AL
Lapid, MI
Litvan, I
Lucente, D
Mackenzie, IR
Mendez, MF
Mester, C
Miller, BL
Onyike, CU
Rademakers, R
Keywords: biomarkers;dementia
Issue Date: 22-Sep-2022
Publisher: Springer Nature
Citation: Staffaroni, A.M. et al. (2022) 'Temporal order of clinical and biomarker changes in familial frontotemporal dementia', Nature Medicine, 28 (10), pp. 2194 - 2206. doi: 10.1038/s41591-022-01942-9.
Abstract: Copyright © The Author(s). Unlike familial Alzheimer’s disease, we have been unable to accurately predict symptom onset in presymptomatic familial frontotemporal dementia (f-FTD) mutation carriers, which is a major hurdle to designing disease prevention trials. We developed multimodal models for f-FTD disease progression and estimated clinical trial sample sizes in C9orf72, GRN and MAPT mutation carriers. Models included longitudinal clinical and neuropsychological scores, regional brain volumes and plasma neurofilament light chain (NfL) in 796 carriers and 412 noncarrier controls. We found that the temporal ordering of clinical and biomarker progression differed by genotype. In prevention-trial simulations using model-based patient selection, atrophy and NfL were the best endpoints, whereas clinical measures were potential endpoints in early symptomatic trials. f-FTD prevention trials are feasible but will likely require global recruitment efforts. These disease progression models will facilitate the planning of f-FTD clinical trials, including the selection of optimal endpoints and enrollment criteria to maximize power to detect treatment effects.
Description: Data availability: The datasets analyzed for the current study reflect collaborative efforts of two research consortia: ALLFTD and GENFI. Each consortium provides clinical data access based on established policies for data use: processes for request are available for review at allftd.org/data for ALLFTD data and by emailing genfi@ucl.ac.uk. Certain data elements from both consortia (for example raw MRI images) may be restricted due to the potential for identifiability in the context of the sensitive nature of the genetic data. The deidentified combined dataset will be available for request through the FTD Prevention Initiative in 2023 (https://www.thefpi.org/).
Code availability: Custom R code is available at https://doi.org/10.5281/zenodo.6687486.
URI: https://bura.brunel.ac.uk/handle/2438/26189
DOI: https://doi.org/10.1038/s41591-022-01942-9
ISSN: 1078-8956
Other Identifiers: ORCID iD: Martina Bocchetta https://orcid.org/0000-0003-1814-5024
Appears in Collections:Dept of Life Sciences Research Papers

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