Literature DB >> 26141614

Pre-analytical and analytical factors influencing Alzheimer's disease cerebrospinal fluid biomarker variability.

Anthony Fourier1, Erik Portelius2, Henrik Zetterberg3, Kaj Blennow2, Isabelle Quadrio1, Armand Perret-Liaudet4.   

Abstract

A panel of cerebrospinal fluid (CSF) biomarkers including total Tau (t-Tau), phosphorylated Tau protein at residue 181 (p-Tau) and β-amyloid peptides (Aβ42 and Aβ40), is frequently used as an aid in Alzheimer's disease (AD) diagnosis for young patients with cognitive impairment, for predicting prodromal AD in mild cognitive impairment (MCI) subjects, for AD discrimination in atypical clinical phenotypes and for inclusion/exclusion and stratification of patients in clinical trials. Due to variability in absolute levels between laboratories, there is no consensus on medical cut-off value for the CSF AD signature. Thus, for full implementation of this core AD biomarker panel in clinical routine, this issue has to be solved. Variability can be explained both by pre-analytical and analytical factors. For example, the plastic tubes used for CSF collection and storage, the lack of reference material and the variability of the analytical protocols were identified as important sources of variability. The aim of this review is to highlight these pre-analytical and analytical factors and describe efforts done to counteract them in order to establish cut-off values for core CSF AD biomarkers. This review will give the current state of recommendations.
Copyright © 2015. Published by Elsevier B.V.

Entities:  

Keywords:  Alzheimer diagnosis; Analytical confounders; Biomarkers; CSF; Dementia; Pre-analytical confounders

Mesh:

Substances:

Year:  2015        PMID: 26141614     DOI: 10.1016/j.cca.2015.05.024

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  34 in total

1.  Upward drift in cerebrospinal fluid amyloid β 42 assay values for more than 10 years.

Authors:  Suzanne E Schindler; Courtney L Sutphen; Charlotte Teunissen; Lena M McCue; John C Morris; David M Holtzman; Sandra D Mulder; Philip Scheltens; Chengjie Xiong; Anne M Fagan
Journal:  Alzheimers Dement       Date:  2017-07-12       Impact factor: 21.566

2.  Analytical and clinical performances of the automated Lumipulse cerebrospinal fluid Aβ42 and T-Tau assays for Alzheimer's disease diagnosis.

Authors:  Jean-Louis Bayart; Bernard Hanseeuw; Adrian Ivanoiu; Vincent van Pesch
Journal:  J Neurol       Date:  2019-06-10       Impact factor: 4.849

Review 3.  [New biomarkers for Alzheimer's disease in cerebrospinal fluid and blood].

Authors:  Jonathan Vogelgsang; Jens Wiltfang
Journal:  Nervenarzt       Date:  2019-09       Impact factor: 1.214

4.  A Customized Quantitative PCR MicroRNA Panel Provides a Technically Robust Context for Studying Neurodegenerative Disease Biomarkers and Indicates a High Correlation Between Cerebrospinal Fluid and Choroid Plexus MicroRNA Expression.

Authors:  Wang-Xia Wang; David W Fardo; Gregory A Jicha; Peter T Nelson
Journal:  Mol Neurobiol       Date:  2016-11-29       Impact factor: 5.590

5.  Establishment of combined diagnostic models of Alzheimer's disease in a Chinese cohort: the Chongqing Ageing & Dementia Study (CADS).

Authors:  Dong-Yu Fan; Jie-Ming Jian; Shan Huang; Wei-Wei Li; Ying-Ying Shen; Zhen Wang; Gui-Hua Zeng; Xu Yi; Wang-Sheng Jin; Yu-Hui Liu; Fan Zeng; Xian-Le Bu; Li-Yong Chen; Qing-Xiang Mao; Zhi-Qiang Xu; Jin-Tai Yu; Jun Wang; Yan-Jiang Wang
Journal:  Transl Psychiatry       Date:  2022-06-16       Impact factor: 7.989

6.  Soluble APP-α and APP-β in cerebrospinal fluid as potential biomarkers for differential diagnosis of mild cognitive impairment.

Authors:  Wataru Araki; Kazutomi Kanemaru; Kotaro Hattori; Tadashi Tsukamoto; Yuko Saito; Sumiko Yoshida; Harumasa Takano; Masuhiro Sakata; Yuma Yokoi; Yoshie Omachi; Utako Nagaoka; Masahiro Nagao; Takashi Komori; Hisateru Tachimori; Shigeo Murayama; Hidehiro Mizusawa
Journal:  Aging Clin Exp Res       Date:  2021-07-20       Impact factor: 3.636

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

Authors:  Katheryn A Q Cousins; David J Irwin; David A Wolk; Edward B Lee; Leslie M J Shaw; John Q Trojanowski; Fulvio Da Re; Garrett S Gibbons; Murray Grossman; Jeffrey S Phillips
Journal:  Brain       Date:  2020-07-01       Impact factor: 13.501

8.  MicroRNA (miRNA) Signaling in the Human CNS in Sporadic Alzheimer's Disease (AD)-Novel and Unique Pathological Features.

Authors:  Yuhai Zhao; Aileen I Pogue; Walter J Lukiw
Journal:  Int J Mol Sci       Date:  2015-12-17       Impact factor: 5.923

Review 9.  Imaging and fluid biomarkers in frontotemporal dementia.

Authors:  Lieke H Meeter; Laura Donker Kaat; Jonathan D Rohrer; John C van Swieten
Journal:  Nat Rev Neurol       Date:  2017-06-16       Impact factor: 42.937

10.  Cerebrospinal Fluid Aβ40 Improves the Interpretation of Aβ42 Concentration for Diagnosing Alzheimer's Disease.

Authors:  Aline Dorey; Armand Perret-Liaudet; Yannick Tholance; Anthony Fourier; Isabelle Quadrio
Journal:  Front Neurol       Date:  2015-11-27       Impact factor: 4.003

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