ATN status in amnestic and non-amnestic Alzheimer's disease and frontotemporal lobar degeneration.


Journal

Brain : a journal of neurology
ISSN: 1460-2156
Titre abrégé: Brain
Pays: England
ID NLM: 0372537

Informations de publication

Date de publication:
01 07 2020
Historique:
received: 12 12 2019
revised: 27 02 2020
accepted: 27 03 2020
pubmed: 16 7 2020
medline: 31 12 2020
entrez: 16 7 2020
Statut: ppublish

Résumé

Under the ATN framework, CSF analytes provide evidence of the presence or absence of Alzheimer's disease pathological hallmarks: amyloid plaques (A), phosphorylated tau (T), and accompanying neurodegeneration (N). Still, differences in CSF levels across amnestic and non-amnestic variants or due to co-occurring pathologies might lead to misdiagnoses. We assess the diagnostic accuracy of CSF markers for amyloid, tau, and neurodegeneration in an autopsy cohort of 118 Alzheimer's disease patients (98 amnestic; 20 non-amnestic) and 64 frontotemporal lobar degeneration patients (five amnestic; 59 non-amnestic). We calculated between-group differences in CSF concentrations of amyloid-β1-42 peptide, tau protein phosphorylated at threonine 181, total tau, and the ratio of phosphorylated tau to amyloid-β1-42. Results show that non-amnestic Alzheimer's disease patients were less likely to be correctly classified under the ATN framework using independent, published biomarker cut-offs for positivity. Amyloid-β1-42 did not differ between amnestic and non-amnestic Alzheimer's disease, and receiver operating characteristic curve analyses indicated that amyloid-β1-42 was equally effective in discriminating both groups from frontotemporal lobar degeneration. However, CSF concentrations of phosphorylated tau, total tau, and the ratio of phosphorylated tau to amyloid-β1-42 were significantly lower in non-amnestic compared to amnestic Alzheimer's disease patients. Receiver operating characteristic curve analyses for these markers showed reduced area under the curve when discriminating non-amnestic Alzheimer's disease from frontotemporal lobar degeneration, compared to discrimination of amnestic Alzheimer's disease from frontotemporal lobar degeneration. In addition, the ATN framework was relatively insensitive to frontotemporal lobar degeneration, and these patients were likely to be classified as having normal biomarkers or biomarkers suggestive of primary Alzheimer's disease pathology. We conclude that amyloid-β1-42 maintains high sensitivity to A status, although with lower specificity, and this single biomarker provides better sensitivity to non-amnestic Alzheimer's disease than either the ATN framework or the phosphorylated-tau/amyloid-β1-42 ratio. In contrast, T and N status biomarkers differed between amnestic and non-amnestic Alzheimer's disease; standard cut-offs for phosphorylated tau and total tau may thus result in misclassifications for non-amnestic Alzheimer's disease patients. Consideration of clinical syndrome may help improve the accuracy of ATN designations for identifying true non-amnestic Alzheimer's disease.

Identifiants

pubmed: 32666090
pii: 5871545
doi: 10.1093/brain/awaa165
pmc: PMC7364757
doi:

Substances chimiques

Amyloid beta-Peptides 0
Biomarkers 0
MAPT protein, human 0
tau Proteins 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2295-2311

Subventions

Organisme : NIA NIH HHS
ID : P01 AG017586
Pays : United States
Organisme : NIA NIH HHS
ID : P01 AG066597
Pays : United States
Organisme : NIA NIH HHS
ID : K01 AG061277
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG054519
Pays : United States
Organisme : NINDS NIH HHS
ID : K23 NS088341
Pays : United States

Informations de copyright

© The Author(s) (2020). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For permissions, please email: journals.permissions@oup.com.

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Auteurs

Katheryn A Q Cousins (KAQ)

Department of Neurology, University of Pennsylvania, Philadelphia, USA.

David J Irwin (DJ)

Department of Neurology, University of Pennsylvania, Philadelphia, USA.

David A Wolk (DA)

Department of Neurology, University of Pennsylvania, Philadelphia, USA.

Edward B Lee (EB)

Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, USA.

Leslie M J Shaw (LMJ)

Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, USA.

John Q Trojanowski (JQ)

Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, USA.

Fulvio Da Re (F)

School of Medicine and Surgery, Milan Center for Neuroscience, University of Milano-Bicocca, Milan, Italy.

Garrett S Gibbons (GS)

Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, USA.

Murray Grossman (M)

Department of Neurology, University of Pennsylvania, Philadelphia, USA.

Jeffrey S Phillips (JS)

Department of Neurology, University of Pennsylvania, Philadelphia, USA.

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Classifications MeSH