Plasma Neurofilament Light for Prediction of Disease Progression in Familial Frontotemporal Lobar Degeneration

Rojas, Julio C.; Wang, Ping; Staffaroni, Adam M.; Heller, Carolin; Cobigo, Yann; Wolf, Amy; Goh, Sheng-Yang M.; Ljubenkov, Peter A.; Heuer, Hilary W.; Fong, Jamie C.; Taylor, Joanne B.; Veras, Eliseo; Song, Linan; Jeromin, Andreas; Hanlon, David; Yu, Lili; Khinikar, Arvind; Sivasankaran, Rajeev; Kieloch, Agnieszka; Valentin, Marie-Anne; Karydas, Anna M.; Mitic, Laura L.; Pearlman, Rodney; Kornak, John; Kramer, Joel H.; Miller, Bruce L.; Kantarci, Kejal; Knopman, David S.; Graff-Radford, Neill; Petrucelli, Leonard; Rademakers, Rosa; Irwin, David J.; Grossman, Murray; Ramos, Eliana Marisa; Coppola, Giovanni; Mendez, Mario F.; Bordelon, Yvette; Dickerson, Bradford C.; Ghoshal, Nupur; Huey, Edward D.; Mackenzie, Ian R.; Appleby, Brian S.; Domoto-Reilly, Kimiko; Hsiung, Ging-Yuek R.; Toga, Arthur W.; Weintraub, Sandra; Kaufer, Daniel I.; Kerwin, Diana; Litvan, Irene; Onyike, Chiadikaobi U.; Pantelyat, Alexander; Roberson, Erik D.; Tartaglia, Maria C.; Foroud, Tatiana; Chen, Weiping; Czerkowicz, Julie; Graham, Danielle L.; Swieten, John C. van; Borroni, Barbara; Sanchez-Valle, Raquel; Moreno, Fermin; Laforce, Robert; Graff, Caroline; Synofzik, Matthis; Galimberti, Daniela; Rowe, James B.; Masellis, Mario; Finger, Elizabeth; Vandenberghe, Rik; de Mendonca, Alexandre; Tagliavini, Fabrizio; Santana, Isabel; Ducharme, Simon; Butler, Chris R.; Gerhard, Alexander; Levin, Johannes; Danek, Adrian; Otto, Markus; Sorbi, Sandro; Cash, David M.; Convery, Rhian S.; Bocchetta, Martina; Foiani, Martha; Greaves, Caroline V.; Peakman, Georgia; Russell, Lucy; Swift, Imogen; Todd, Emily; Rohrer, Jonathan D.; Boeve, Bradley F.; Rosen, Howard J. und Boxer, Adam L. (2021): Plasma Neurofilament Light for Prediction of Disease Progression in Familial Frontotemporal Lobar Degeneration. In: Neurology, Bd. 96, Nr. 18, E2296-E2312

Abstract

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. 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.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Medizin ; Medizin > Munich Cluster for Systems Neurology (SyNergy)
• Themengebiete: 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit
• ISSN: 0028-3878
• Sprache: Englisch
• DFG: Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 390857198