Plasma Neurofilament Light Chain in Primary Progressive Aphasia and Related Disorders: Clinical Significance and Metabolic Correlates.

Alzheimer’s disease biomarkers frontotemporal dementia neurofilament positron emission tomography primary progressive aphasia

Journal

Journal of Alzheimer's disease : JAD
ISSN: 1875-8908
Titre abrégé: J Alzheimers Dis
Pays: Netherlands
ID NLM: 9814863

Informations de publication

Date de publication:
2019
Historique:
pubmed: 24 10 2019
medline: 1 12 2020
entrez: 24 10 2019
Statut: ppublish

Résumé

Primary progressive aphasia (PPA) is a heterogeneous syndrome that is difficult to diagnose at early stages. Plasma neurofilament light chain (NFL) has been proposed as a potential biomarker for PPA. To examine the diagnostic properties of plasma NFL in PPA and to evaluate its association with clinical stages of the disease and brain metabolism. Our study included 80 participants (13 with non-fluent, 12 with semantic, and 16 with logopenic variant PPA; 13 with amnestic Alzheimer's disease [AD]; 13 with behavioral variant frontotemporal dementia; and 13 healthy controls). Plasma NFL concentration was measured using a high-sensitivity enzyme-linked immunosorbent assay (ELISA) kit. PET imaging was performed in a subgroup of patients. NFL discriminated patients from controls with an area under the curve of 0.914 (95% CI, 0.843-0.984; p < 0.001) (cut-off: 76.46 pg/mL; 94% sensitivity, 76.9% specificity). There were no significant differences between clinical syndromes (PPA subtypes), the main clinical forms of dementia (frontotemporal dementia and AD), or the expected pathological groups (frontotemporal lobar degeneration-tau [FTLD-tau], FTLD-TDP43, and AD). NFL levels showed weak to moderate correlations with age and functional scale score. We found no significant correlation with the extent of hypometabolism observed on FDG-PET images. Plasma NFL is a non-specific marker of neurodegeneration, and may be helpful in the diagnosis of PPA. However, NFL does not permit differential diagnosis between PPA subtypes and is not correlated with the extent of neurodegeneration.

Sections du résumé

BACKGROUND
Primary progressive aphasia (PPA) is a heterogeneous syndrome that is difficult to diagnose at early stages. Plasma neurofilament light chain (NFL) has been proposed as a potential biomarker for PPA.
OBJECTIVE
To examine the diagnostic properties of plasma NFL in PPA and to evaluate its association with clinical stages of the disease and brain metabolism.
METHODS
Our study included 80 participants (13 with non-fluent, 12 with semantic, and 16 with logopenic variant PPA; 13 with amnestic Alzheimer's disease [AD]; 13 with behavioral variant frontotemporal dementia; and 13 healthy controls). Plasma NFL concentration was measured using a high-sensitivity enzyme-linked immunosorbent assay (ELISA) kit. PET imaging was performed in a subgroup of patients.
RESULTS
NFL discriminated patients from controls with an area under the curve of 0.914 (95% CI, 0.843-0.984; p < 0.001) (cut-off: 76.46 pg/mL; 94% sensitivity, 76.9% specificity). There were no significant differences between clinical syndromes (PPA subtypes), the main clinical forms of dementia (frontotemporal dementia and AD), or the expected pathological groups (frontotemporal lobar degeneration-tau [FTLD-tau], FTLD-TDP43, and AD). NFL levels showed weak to moderate correlations with age and functional scale score. We found no significant correlation with the extent of hypometabolism observed on FDG-PET images.
CONCLUSION
Plasma NFL is a non-specific marker of neurodegeneration, and may be helpful in the diagnosis of PPA. However, NFL does not permit differential diagnosis between PPA subtypes and is not correlated with the extent of neurodegeneration.

Identifiants

pubmed: 31640103
pii: JAD190838
doi: 10.3233/JAD-190838
doi:

Substances chimiques

Biomarkers 0
Neurofilament Proteins 0
neurofilament protein L 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

773-782

Auteurs

Jordi A Matías-Guiu (JA)

Department of Neurology and Laboratory of Neurobiology, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISCC), Universidad Complutense de Madrid, Madrid, Spain.

Ulises Gómez-Pinedo (U)

Department of Neurology and Laboratory of Neurobiology, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISCC), Universidad Complutense de Madrid, Madrid, Spain.

Lucía Forero (L)

Department of Neurology, Puerta del Mar University Hospital, Cádiz, Spain.

Vanesa Pytel (V)

Department of Neurology and Laboratory of Neurobiology, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISCC), Universidad Complutense de Madrid, Madrid, Spain.

Fátima Cano (F)

Department of Psychology, Universidad de Cádiz, Cádiz, Spain.
Biomedical Research and Innovation Institute of Cádiz (INiBICA), Cádiz, Spain.

Teresa Moreno-Ramos (T)

Department of Neurology and Laboratory of Neurobiology, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISCC), Universidad Complutense de Madrid, Madrid, Spain.

María Nieves Cabrera-Martín (MN)

Department of Nuclear Medicine, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISCC), Universidad Complutense de Madrid, Madrid, Spain.

Jorge Matías-Guiu (J)

Department of Neurology and Laboratory of Neurobiology, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISCC), Universidad Complutense de Madrid, Madrid, Spain.

Javier J González-Rosa (JJ)

Department of Psychology, Universidad de Cádiz, Cádiz, Spain.
Biomedical Research and Innovation Institute of Cádiz (INiBICA), Cádiz, Spain.

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