Literature DB >> 18700307

Amyloid beta protein and tau in cerebrospinal fluid and plasma as biomarkers for dementia: a review of recent literature.

Suzanne V Frankfort1, Linda R Tulner, Jos P C M van Campen, Marcel M Verbeek, René W M M Jansen, Jos H Beijnen.   

Abstract

This review addresses recent developments in amyloid beta (Abeta), total tau (t-tau), and phosporylated tau (p-tau) protein analysis, in cerebrospinal fluid (CSF) and plasma as biomarkers for dementia. Recent research focused on the protection of patients with mild cognitive impairment (MCI) into dementia and the differential diagnosis of Alzheimer's Disease (AD). A combination of Abeta42 and t-tau in CSF can discriminate between patients with stable MCI and patients with progressive MCI into AD or other types of dementia with a sufficient sensitivity and specificity. Regression analyses demonstrated that pathological CSF (with decreased Abeta42 and and increased tau levels) is a very strong predictor for the progression of MCI into AD. Furthermore, CSF measurements of p-tau and Abeta42 can assist in diagnosing vascular dementia or frontotemporal dementia in the differential diagnosis of AD indicated by a reasonable sensitivity and specificity. Whether tau in combination with Abeta42 or in combination with the Abeta37/Abeta42 or Abeta38/Abeta42 ratio aids in the discrimination between AD and Lewy Body dementia remains to be elucidated. Cross-sectional research could not demonstrate significant differences for Abeta40 and Abeta42 in plasma between AD and controls. However, a recently published longitudinal study showed high baseline Abeta40 levels, especially when combined with low baseline Abeta 42 levels, are a strong risk factor for the development of dementia. This emphasizes the importance of performing longitudinal studies in addition to cross-sectional ones. The origin of plasma Abeta and its transport between CSF and plasma, however, needs further clarification. In conclusion, progress has been made regarding Abeta and tau as biomarkers for dementia, both for differentiation between stable MCI and progressive MCI patients and for the differential diagnosis of AD. Future research should aim to validate these recently published results, preferably in pathologically confirmed AD patients. In addition, it is important to standardise research in terms of study design (longitudinal, minimal follow-up period of 5 years), type of researched parameters ( total or p-tau, type of Abeta peptides), type of matrix (CSF and plasma) and data analysis (establishment of predefined cut-off values, type of ratio, type of marker combination).

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Year:  2008        PMID: 18700307     DOI: 10.2174/157488408784293723

Source DB:  PubMed          Journal:  Curr Clin Pharmacol        ISSN: 1574-8847


  30 in total

1.  CSF phospho-tau correlates with behavioural decline and brain insoluble phospho-tau levels in a rat model of tauopathy.

Authors:  Norbert Zilka; Miroslava Korenova; Branislav Kovacech; Khalid Iqbal; Michal Novak
Journal:  Acta Neuropathol       Date:  2010-04-09       Impact factor: 17.088

2.  Intranasal insulin therapy for Alzheimer disease and amnestic mild cognitive impairment: a pilot clinical trial.

Authors:  Suzanne Craft; Laura D Baker; Thomas J Montine; Satoshi Minoshima; G Stennis Watson; Amy Claxton; Matthew Arbuckle; Maureen Callaghan; Elaine Tsai; Stephen R Plymate; Pattie S Green; James Leverenz; Donna Cross; Brooke Gerton
Journal:  Arch Neurol       Date:  2011-09-12

3.  Exploring Relationships Among Peripheral Amyloid Beta, Tau, Cytokines, Cognitive Function, and Psychosomatic Symptoms in Breast Cancer Survivors.

Authors:  Ashley Henneghan; Andreana P Haley; Shelli Kesler
Journal:  Biol Res Nurs       Date:  2019-11-10       Impact factor: 2.522

4.  [Neurodegenerative diseases].

Authors:  Wolfgang Reith
Journal:  Radiologe       Date:  2018-03       Impact factor: 0.635

5.  Quantitative proteomics and metabolomics analysis of normal human cerebrospinal fluid samples.

Authors:  Marcel P Stoop; Leon Coulier; Therese Rosenling; Shanna Shi; Agnieszka M Smolinska; Lutgarde Buydens; Kirsten Ampt; Christoph Stingl; Adrie Dane; Bas Muilwijk; Ronald L Luitwieler; Peter A E Sillevis Smitt; Rogier Q Hintzen; Rainer Bischoff; Sybren S Wijmenga; Thomas Hankemeier; Alain J van Gool; Theo M Luider
Journal:  Mol Cell Proteomics       Date:  2010-09       Impact factor: 5.911

Review 6.  Frontotemporal Dementia.

Authors:  Roger E Kelley; Ramy El-Khoury
Journal:  Neurol Clin       Date:  2016-02       Impact factor: 3.806

7.  Classification of genes and putative biomarker identification using distribution metrics on expression profiles.

Authors:  Hung-Chung Huang; Daniel Jupiter; Vincent VanBuren
Journal:  PLoS One       Date:  2010-02-04       Impact factor: 3.240

Review 8.  Disease biomarkers in multiple sclerosis: potential for use in therapeutic decision making.

Authors:  Violaine K Harris; Saud A Sadiq
Journal:  Mol Diagn Ther       Date:  2009       Impact factor: 4.074

Review 9.  Cerebrolysin: a review of its use in dementia.

Authors:  Greg L Plosker; Serge Gauthier
Journal:  Drugs Aging       Date:  2009       Impact factor: 3.923

10.  Schizophrenia genomics and proteomics: are we any closer to biomarker discovery?

Authors:  Shaheen E Lakhan; Alon Kramer
Journal:  Behav Brain Funct       Date:  2009-01-07       Impact factor: 3.759

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