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Published in: NeuroMolecular Medicine 4/2018

01-12-2018 | Original Paper

CSF Aβ1–42, but not p-Tau181, Predicted Progression from Amnestic MCI to Alzheimer’s Disease Dementia

Authors: Liara Rizzi, Luciane Missiaggia, Matheus Roriz-Cruz

Published in: NeuroMolecular Medicine | Issue 4/2018

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Abstract

The purpose of the study was to determine whether Aβ1–42 and p-Tau181 cerebral spinal fluid (CSF) levels can predict progression from amnestic mild cognitive impairment (aMCI) to Alzheimer’s disease dementia (ADD) in a 3-year follow-up study. All participants were evaluated blindly by a behavioral neurologist and a neuropsychologist, and classified according to the Petersen criteria for aMCI and according to the Clinical Dementia Rating (CDR) scale. Individuals were also submitted to lumbar puncture at baseline. Levels of Aβ1–42 and p-Tau181 were measured by immunoenzymatic assay. Values were adjusted for age and sex. Thirty-one of 33 (93.9%) participants completed follow-up. Approximately 39% of aMCI individuals progressed to ADD. The relative risk of developing ADD in those with Aβ1–42 CSF levels lower than 618.5 pg/mL was 17.4 times higher than in those whose levels were higher than 618.5 pg/mL (P = 0.003). p-Tau181 alone did not predict progression to ADD (P = 0.101). The relative risk in those with a p-Tau181/Aβ1–42 ratio higher than 0.135 was 5.7 times greater (P < 0.001). Aβ1–42 and p-Tau181 explained 40.1% of the verbal memory test subscore of the Consortium to Establish a Registry for Alzheimer’s Disease (ΔCERADs) variance (P = 0.008). Aβ1–42 strongly predicted progression from aMCI to ADD. p-Tau181 alone, or its relation to Aβ1–42, was inferior than Aβ1–42 alone as a predictor of progression to ADD.
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Metadata
Title
CSF Aβ1–42, but not p-Tau181, Predicted Progression from Amnestic MCI to Alzheimer’s Disease Dementia
Authors
Liara Rizzi
Luciane Missiaggia
Matheus Roriz-Cruz
Publication date
01-12-2018
Publisher
Springer US
Published in
NeuroMolecular Medicine / Issue 4/2018
Print ISSN: 1535-1084
Electronic ISSN: 1559-1174
DOI
https://doi.org/10.1007/s12017-018-8516-8

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