Year: 2018
Type: article
Study design: Observational Study
Abstract: Objective The prognostic value of cerebrospinal fluid neurofilament light chain, total tau, phosphorylated tau181, and amyloid beta1‐42was examined in frontotemporal dementia subtypes. Methods We compared baseline biomarkers between 49 controls, 40 patients with behavioral variant frontotemporal dementia, 24 with semantic variant primary progressive aphasia, and 26 with nonfluent variant primary progressive aphasia. Linear mixed effect models were used to assess the value of baseline biomarkers in predicting clinical and radiographic change in patient cohorts over multiple yearly follow up visits. Results Neurofilament light chain concentrations were lowest in controls. Elevated baseline neurofilament light chain predicted faster worsening in clinical severity, frontotemporal volume and frontotemporal fractional anisotropy in patients with behavioral variant frontotemporal dementia and nonfluent variant primary progressive aphasia. High total tau similarly predicted faster progression in nonfluent variant primary progressive aphasia. In behavioral variant frontotemporal dementia, higher phosphorylated tau181predicted faster clinical progression whereas lower amyloid beta1‐42predicted faster volumetric and fractional anisotropy reduction. Neurofilament light chain and phosphorylated tau181were of greater predictive value in patients with tau pathology as compared toTDP‐43 pathology. Baseline neurofilament light chain correlated with baseline clinical severity and frontotemporal volume in behavioral variant frontotemporal dementia. Baseline total tau correlated with baseline clinical severity in semantic variant primary progressive aphasia. Interpretation High cerebrospinal fluid neurofilament light chain predicts more aggressive disease in behavioral variant frontotemporal dementia and nonfluent variant primary progressive aphasia. Total tau, phosphorylated tau181, and amyloid beta1‐42also predict some measures of disease aggressiveness in frontotemporal dementia.
DOI: 10.1002/acn3.643
Authors: Peter A. Ljubenkov, Adam M. Staffaroni, Julio C. Rojas, Isabel E. Allen, Ping Wang, Hilary Heuer, Anna Karydas, John Kornak, Yann Cobigo, William W. Seeley, Lea T. Grinberg, Salvatore Spina, Anne M. Fagan, Gina Jerome, David Knopman, Brad F. Boeve, Bradford C. Dickerson, Joel Kramer, Bruce Miller, Adam L. Boxer, Howard J. Rosen
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $4,100
Awards: G1052041916, G1668264862, G1888650583, G2210735372, PREDICT-ADFTD: Multimodal Imaging Prediction of AD/FTD and Differential Diagnosis, G2908210938, G3547117435, G3940247575, G4561881070, G510153658, G5971171967, G603598372, G6348851466, G650779111, G7247542487, Multimodal Imaging in Frontotemporal Degeneration, The Four Repeat Tauopathy Neuroimaging Initiative, G9000029343, G9000052518, G9000083633, G9000086591, G9000233349, G9000274455, G9000287903, G9000302427
OpenAlex ID: W2889890338