Literature DB >> 29017912

CSF Aβ1-42, but not p-Tau181, differentiates aMCI from SCI.

Liara Rizzi1, Marcelle Maria Portal2, Carlos Eduardo Alves Batista3, Luciane Missiaggia4, Matheus Roriz-Cruz5.   

Abstract

AIM: Individuals with amnestic mild cognitive impairment (aMCI) are at a high risk to develop Alzheimer's disease (AD). We compared CSF levels of biomarkers of amyloidosis (Aβ1-42) and neurodegeneration (p-Tau181) in individuals with aMCI and with subjective cognitive impairment (SCI) in order to ascertain diagnostic accuracy and predict the odds ratio associated with aMCI.
METHODS: We collected CSF of individuals clinically diagnosed with aMCI (33) and SCI (12) of a memory clinic of Southern Brazil. Levels of Aβ1-42 and p-Tau181 were measured by immunoenzymatic assay. Participants also underwent neuropsychological testing including the verbal memory test subscore of the Consortium to Establish a Registry for Alzheimer's Disease (VM-CERAD).
RESULTS: CSF concentration of Aβ1-42 was significantly lower (p: .007) and p-Tau181/Aβ1-42 ratio higher (p: .014) in aMCI individuals than in SCI. However, isolate p-Tau181 levels were not associated with aMCI (p: .166). There was a statistically significant association between Aβ1-42 and p-Tau181 (R2: 0.177; β: -4.43; p: .017). ROC AUC of CSF Aβ1-42 was 0.768 and of the p-Tau181/Aβ1-42 ratio equals 0.742. Individuals with Aβ1-42 < 823 pg/mL levels were 6.0 times more likely to be diagnosed with aMCI (p: .019), with a 68.9% accuracy. Those with p-Tau181/Aβ1-42 ratio > 0.071 were at 4.6 increased odds to have aMCI (p: .043), with a 64.5% accuracy. VM-CERAD was significantly lower in aMCI than among SCI (p: .041).
CONCLUSION: CSF Aβ1-42, but not p-Tau181, level was significantly associated with aMCI.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Alzheimer; Amyloid; CSF Biomarkers; MCI; Tau

Mesh:

Substances:

Year:  2017        PMID: 29017912     DOI: 10.1016/j.brainres.2017.10.008

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  3 in total

1.  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
Journal:  Neuromolecular Med       Date:  2018-10-10       Impact factor: 3.843

Review 2.  Biomarker-Based Signature of Alzheimer's Disease in Pre-MCI Individuals.

Authors:  Elena Chipi; Nicola Salvadori; Lucia Farotti; Lucilla Parnetti
Journal:  Brain Sci       Date:  2019-08-23

3.  A new Graph Gaussian embedding method for analyzing the effects of cognitive training.

Authors:  Mengjia Xu; Zhijiang Wang; Haifeng Zhang; Dimitrios Pantazis; Huali Wang; Quanzheng Li
Journal:  PLoS Comput Biol       Date:  2020-09-17       Impact factor: 4.475

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.