Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/26196
Title: Plasma Neurofilament Light for Prediction of Disease Progression in Familial Frontotemporal Lobar Degeneration
Authors: Rojas, JC
Wang, P
Staffaroni, AM
Heller, C
Cobigo, Y
Wolf, A
Goh, SYM
Ljubenkov, PA
Heuer, HW
Fong, JC
Taylor, JB
Veras, E
Song, L
Jeromin, A
Hanlon, D
Yu, L
Khinikar, A
Sivasankaran, R
Kieloch, A
Valentin, MA
Karydas, AM
Mitic, LL
Pearlman, R
Kornak, J
Kramer, JH
Miller, BL
Kantarci, K
Knopman, DS
Graff-Radford, N
Petrucelli, L
Rademakers, R
Irwin, DJ
Grossman, M
Ramos, EM
Coppola, G
Mendez, MF
Bordelon, Y
Dickerson, BC
Ghoshal, N
Huey, ED
Mackenzie, IR
Appleby, BS
Domoto-Reilly, K
Hsiung, GYR
Toga, AW
Weintraub, S
Kaufer, DI
Kerwin, D
Litvan, I
Onyike, CU
Pantelyat, A
Roberson, ED
Tartaglia, MC
Foroud, T
Chen, W
Czerkowicz, J
Graham, DL
van Swieten, JC
Borroni, B
Sanchez-Valle, R
Moreno, F
Laforce, R
Graff, C
Synofzik, M
Galimberti, D
Rowe, JB
Masellis, M
Finger, E
Vandenberghe, R
de Mendonça, A
Tagliavini, F
Santana, I
Ducharme, S
Butler, CR
Gerhard, A
Levin, J
Danek, A
Otto, M
Sorbi, S
Cash, DM
Convery, RS
Bocchetta, M
Foiani, M
Greaves, CV
Peakman, G
Russell, L
Swift, I
Todd, E
Rohrer, JD
Boeve, BF
Rosen, HJ
Boxer, AL
Issue Date: 7-Apr-2021
Publisher: Wolters Kluwer Health on behalf of the American Academy of Neurology
Citation: Rojas, J.C. et al on behalf of the ALLFTD and GENFI consortia. (2021) 'Plasma Neurofilament Light for Prediction of Disease Progression in Familial Frontotemporal Lobar Degeneration', Neurology, 96 (18), pp. e2296 - e2312. doi: 10.1212/WNL.0000000000011848.
Abstract: Copyright © 2021 The Author(s). OBJECTIVE: We tested the hypothesis that plasma neurofilament light chain (NfL) identifies asymptomatic carriers of familial frontotemporal lobar degeneration (FTLD)-causing mutations at risk of disease progression. METHODS: Baseline plasma NfL concentrations were measured with single-molecule array in original (n = 277) and validation (n = 297) cohorts. C9orf72, GRN, and MAPT mutation carriers and noncarriers from the same families were classified by disease severity (asymptomatic, prodromal, and full phenotype) using the CDR Dementia Staging Instrument plus behavior and language domains from the National Alzheimer's Disease Coordinating Center FTLD module (CDR+NACC-FTLD). Linear mixed-effect models related NfL to clinical variables. RESULTS: In both cohorts, baseline NfL was higher in asymptomatic mutation carriers who showed phenoconversion or disease progression compared to nonprogressors (original: 11.4 ± 7 pg/mL vs 6.7 ± 5 pg/mL, p = 0.002; validation: 14.1 ± 12 pg/mL vs 8.7 ± 6 pg/mL, p = 0.035). Plasma NfL discriminated symptomatic from asymptomatic mutation carriers or those with prodromal disease (original cutoff: 13.6 pg/mL, 87.5% sensitivity, 82.7% specificity; validation cutoff: 19.8 pg/mL, 87.4% sensitivity, 84.3% specificity). Higher baseline NfL correlated with worse longitudinal CDR+NACC-FTLD sum of boxes scores, neuropsychological function, and atrophy, regardless of genotype or disease severity, including asymptomatic mutation carriers. CONCLUSIONS: Plasma NfL identifies asymptomatic carriers of FTLD-causing mutations at short-term risk of disease progression and is a potential tool to select participants for prevention clinical trials. TRIAL REGISTRATION INFORMATION: ClinicalTrials.gov Identifier: NCT02372773 and NCT02365922. CLASSIFICATION OF EVIDENCE: This study provides Class I evidence that in carriers of FTLD-causing mutations, elevation of plasma NfL predicts short-term risk of clinical progression.
Description: Data Availability: Joint ARTFL and LEFFTDS data and biospecimens and GENFI data are available to qualified investigators for replication of the present study results or further projects.
URI: https://bura.brunel.ac.uk/handle/2438/26196
DOI: https://doi.org/10.1212/WNL.0000000000011848
ISSN: 0028-3878
Other Identifiers: ORCID iD: Julio C. Rojas https://orcid.org/0000-0002-1308-646X; Yann Cobigo https://orcid.org/0000-0002-0354-4092; Jamie C. Fong https://orcid.org/0000-0003-3637-8526; Bradford C. Dickerson https://orcid.org/0000-0002-5958-3445; Nupur Ghoshal https://orcid.org/0000-0002-6680-6731; Ging-Yuek R. Hsiung https://orcid.org/0000-0002-8017-0856; Chiadikaobi U. Onyike https://orcid.org/0000-0003-2255-4437; Alexander Pantelyat https://orcid.org/0000-0002-6427-7485; Erik D. Roberson https://orcid.org/0000-0002-1810-9763; Robert Laforce https://orcid.org/0000-0002-2031-490X; Daniela Galimberti https://orcid.org/0000-0002-9284-5953; Rik Vandenberghe https://orcid.org/0000-0001-6237-2502; Adrian Danek https://orcid.org/0000-0001-8857-5383; Markus Otto https://orcid.org/0000-0003-4273-4267; David M. Cash https://orcid.org/0000-0001-7833-616X; Martina Bocchetta https://orcid.org/0000-0003-1814-5024; Georgia Peakman https://orcid.org/0000-0002-3319-138X; Emily Todd https://orcid.org/0000-0003-1551-5691.
Appears in Collections:Dept of Life Sciences Research Papers

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