We assessed the diagnostic accuracy of cerebrospinal fluid (CSF) neurofilament light chain (NFL) protein in the classification of patients with Alzheimer's disease (AD) and cognitively healthy control individuals (HCs) and patients with frontotemporal dementia (FTD) as comparisons. Particularly, we tested the performance of CSF NFL concentration in differentiating patient groups stratified by fluid biomarker profiles, independently of the severity of cognitive impairment (mild cognitive impairment (MCI) and AD dementia individuals), using a biomarker-guided descriptive classification system for AD. CSF NFL concentrations were examined in a multicenter cross-sectional study of 108 participants stratified in AD pathophysiology-negative (both CSF tau and the 42-amino acid-long amyloid-beta (Aβ) peptide (Aβ1-42)) (n = 15), tau pathology-positive only (n = 15), Aβ pathology-positive only (n = 13), AD pathophysiology-positive (n = 33), FTD (n = 9) patients, and HCs (n = 23), according to the biomarker-based classification system. The performance of CSF NFL in discriminating AD pathophysiology-positive patients from HCs is fair, whereas the ability in differentiating tau-positive patients from HCs is poor. The classificatory performance in distinguishing AD pathophysiology-positive patients from FTD is unsatisfactory.

Lista, S., Toschi, N., Baldacci, F., Zetterberg, H., Blennow, K., Kilimann, I., et al. (2017). Diagnostic accuracy of CSF neurofilament light chain protein in the biomarker-guided classification system for Alzheimer's disease. NEUROCHEMISTRY INTERNATIONAL, 108, 355-360 [10.1016/j.neuint.2017.05.010].

Diagnostic accuracy of CSF neurofilament light chain protein in the biomarker-guided classification system for Alzheimer's disease

Toschi N.;Floris R.;Garaci F.;
2017-01-01

Abstract

We assessed the diagnostic accuracy of cerebrospinal fluid (CSF) neurofilament light chain (NFL) protein in the classification of patients with Alzheimer's disease (AD) and cognitively healthy control individuals (HCs) and patients with frontotemporal dementia (FTD) as comparisons. Particularly, we tested the performance of CSF NFL concentration in differentiating patient groups stratified by fluid biomarker profiles, independently of the severity of cognitive impairment (mild cognitive impairment (MCI) and AD dementia individuals), using a biomarker-guided descriptive classification system for AD. CSF NFL concentrations were examined in a multicenter cross-sectional study of 108 participants stratified in AD pathophysiology-negative (both CSF tau and the 42-amino acid-long amyloid-beta (Aβ) peptide (Aβ1-42)) (n = 15), tau pathology-positive only (n = 15), Aβ pathology-positive only (n = 13), AD pathophysiology-positive (n = 33), FTD (n = 9) patients, and HCs (n = 23), according to the biomarker-based classification system. The performance of CSF NFL in discriminating AD pathophysiology-positive patients from HCs is fair, whereas the ability in differentiating tau-positive patients from HCs is poor. The classificatory performance in distinguishing AD pathophysiology-positive patients from FTD is unsatisfactory.
2017
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore FIS/07 - FISICA APPLICATA (A BENI CULTURALI, AMBIENTALI, BIOLOGIA E MEDICINA)
English
Alzheimer's disease pathophysiology; Biomarkers; Cerebrospinal fluid; Frontotemporal dementia; Mild cognitive impairment; Neurofilament light chain protein
www.elsevier.com/locate/neuint
Lista, S., Toschi, N., Baldacci, F., Zetterberg, H., Blennow, K., Kilimann, I., et al. (2017). Diagnostic accuracy of CSF neurofilament light chain protein in the biomarker-guided classification system for Alzheimer's disease. NEUROCHEMISTRY INTERNATIONAL, 108, 355-360 [10.1016/j.neuint.2017.05.010].
Lista, S; Toschi, N; Baldacci, F; Zetterberg, H; Blennow, K; Kilimann, I; Teipel, Sj; Cavedo, E; dos Santos, Am; Epelbaum, S; Lamari, F; Dubois, B; Floris, R; Garaci, F; Hampel, H
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/232538
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