OBJECTIVE: To assess the ability of 5 cerebrospinal fluid(CSF) biomarkers to differentiate between common dementia and parkinsonian disorders. DESIGN: A cross-sectional, clinic-based study. PARTICIPANTS: Cerebrospinal fluid samples (N=453) were obtained from healthy individuals serving as controls and from patients with Parkinson disease (PD), PD with dementia(PDD), dementia with Lewy bodies (DLB), Alzheimer disease (AD), progressive supranuclear palsy(PSP), multiple system atrophy (MSA), or corticobasal degeneration (CBD). SETTING: Neurology and memory disorder clinics. MAIN OUTCOME MEASURES: Cerebrospinal fluid biomarker levels in relation to clinical diagnosis. RESULTS: Cerebrospinal fluid levels of -synuclein were decreased in patients with PD, PDD, DLB, and MSA but increased in patients with AD. Cerebrospinal fluid levels of α-amyloid 1-42 were decreased in DLB and even further decreased in AD. Cerebrospinal fluid levels of total tau and hyperphosphorylated tau were increased in AD. Multivariate analysis revealed that these biomarkers could differentiate AD from DLB and PDD with an area under the curve of 0.90, with -synuclein and total tau contributing most to the model. Cerebrospinal fluid levels of neurofilament light chain were substantially increased in atypical parkinsonian disorders (ie, PSP, MSA,and CBD), and multivariate analysis revealed that the level of neurofilament light chain alone could differentiate PD from atypical parkinsonian disorders, with an area under the curve of 0.93. CONCLUSIONS: Ascertainment of the -synuclein level in CSF somewhat improves the differential diagnosis of AD vs DLB and PDD when combined with established AD biomarkers.The level of neurofilament light chain alone may differentiate PD from atypical parkinsonian disorders.
OBJECTIVE: To assess the ability of 5 cerebrospinal fluid(CSF) biomarkers to differentiate between common dementia and parkinsonian disorders. DESIGN: A cross-sectional, clinic-based study. PARTICIPANTS: Cerebrospinal fluid samples (N=453) were obtained from healthy individuals serving as controls and from patients with Parkinson disease (PD), PD with dementia(PDD), dementia with Lewy bodies (DLB), Alzheimer disease (AD), progressive supranuclear palsy(PSP), multiple system atrophy (MSA), or corticobasal degeneration (CBD). SETTING:Neurology and memory disorder clinics. MAIN OUTCOME MEASURES: Cerebrospinal fluid biomarker levels in relation to clinical diagnosis. RESULTS: Cerebrospinal fluid levels of -synuclein were decreased in patients with PD, PDD, DLB, and MSA but increased in patients with AD. Cerebrospinal fluid levels of α-amyloid 1-42 were decreased in DLB and even further decreased in AD. Cerebrospinal fluid levels of total tau and hyperphosphorylated tau were increased in AD. Multivariate analysis revealed that these biomarkers could differentiate AD from DLB and PDD with an area under the curve of 0.90, with -synuclein and total tau contributing most to the model. Cerebrospinal fluid levels of neurofilament light chain were substantially increased in atypical parkinsonian disorders (ie, PSP, MSA,and CBD), and multivariate analysis revealed that the level of neurofilament light chain alone could differentiate PD from atypical parkinsonian disorders, with an area under the curve of 0.93. CONCLUSIONS: Ascertainment of the -synuclein level in CSF somewhat improves the differential diagnosis of AD vs DLB and PDD when combined with established AD biomarkers.The level of neurofilament light chain alone may differentiate PD from atypical parkinsonian disorders.
Authors: Wolfgang Singer; Ann M Schmeichel; Mohammad Shahnawaz; James D Schmelzer; Bradley F Boeve; David M Sletten; Tonette L Gehrking; Jade A Gehrking; Anita D Olson; Rodolfo Savica; Mariana D Suarez; Claudio Soto; Phillip A Low Journal: Ann Neurol Date: 2020-08-01 Impact factor: 10.422
Authors: Bob Olsson; Erik Portelius; Nicholas C Cullen; Åsa Sandelius; Henrik Zetterberg; Ulf Andreasson; Kina Höglund; David J Irwin; Murray Grossman; Daniel Weintraub; Alice Chen-Plotkin; David Wolk; Leo McCluskey; Lauren Elman; Leslie M Shaw; Jon B Toledo; Jennifer McBride; Pilar Hernandez-Con; Virginia M-Y Lee; John Q Trojanowski; Kaj Blennow Journal: JAMA Neurol Date: 2019-03-01 Impact factor: 18.302
Authors: Hanuma Kumar Karnati; Joseph H Garcia; David Tweedie; Robert E Becker; Dimitrios Kapogiannis; Nigel H Greig Journal: J Neurotrauma Date: 2018-10-25 Impact factor: 5.269
Authors: Inger van Steenoven; Dag Aarsland; Daniel Weintraub; Elisabet Londos; Frédéric Blanc; Wiesje M van der Flier; Charlotte E Teunissen; Brit Mollenhauer; Tormod Fladby; Milica G Kramberger; Laura Bonanni; Afina W Lemstra Journal: J Alzheimers Dis Date: 2016-08-18 Impact factor: 4.472