Literature DB >> 17586559

No association of CSF biomarkers with APOEepsilon4, plaque and tangle burden in definite Alzheimer's disease.

Sebastiaan Engelborghs1, Kristel Sleegers, Patrick Cras, Nathalie Brouwers, Sally Serneels, Evelyn De Leenheir, Jean-Jacques Martin, Eugeen Vanmechelen, Christine Van Broeckhoven, Peter Paul De Deyn.   

Abstract

The CSF biomarkers beta-amyloid peptide (Abeta(1-42)), total tau protein (T-tau) and tau phosphorylated at threonine 181 (P-tau(181P)) were determined in autopsy-confirmed Alzheimer's disease patients in order to study possible associations with the epsilon4 allele of APOE and density and spread of plaques (SP) and tangles (NFT). CSF levels of Abeta(1-42), T-tau and P-tau(181P) were determined in 50 Alzheimer's disease patients using commercially available single parameter ELISA kits (INNOTEST(R)). Genomic DNA was extracted from whole blood and the APOE genotype was determined using standard methods. Tangle burden was assessed by means of Braak's NFT stages (I-VI), whereas the plaque burden was assessed by means of Braak's SP stages (A-C). CSF biomarker levels were not different when comparing epsilon4 carriers (n = 21) and non-carriers (n = 29) (P > 0.05 for all comparisons). No significant correlations between the number of epsilon4 alleles (0, 1 or 2) and CSF levels of Abeta(1-42) (Spearman Rank Order: r = -0.057, P = 0.695), T-tau (r = 0.104, P = 0.472) and P-tau(181P) (r = 0.062, P = 0.668) were found. Braak's SP (Abeta(1-42): r = -0.155, P = 0.280; T-tau: r = -0.044, P = 0.763; P-tau(181P): r = -0.010, P = 0.947) and NFT (Abeta(1-42): r = -0.145, P = 0.315; T-tau: r = 0.117, P = 0.415; P-tau(181P): r = 0.150, P = 0.296) stages were not significantly correlated with CSF biomarker levels. In conclusion, CSF levels of Abeta(1-42), T-tau and P-tau(181P) were not associated with epsilon4, tangle or plaque burden in 50 autopsy-confirmed Alzheimer's disease patients. In the light of future biomarker applications like monitoring of disease progression and as allocortical neuropathological changes significantly contribute to clinical symptoms, the concept of in vivo surrogate biomarkers should be further explored.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17586559     DOI: 10.1093/brain/awm136

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  50 in total

1.  The impact of cerebrospinal fluid biomarkers on the diagnosis of Alzheimer's disease.

Authors:  Sebastiaan Engelborghs; Nathalie Le Bastard
Journal:  Mol Diagn Ther       Date:  2012-06-01       Impact factor: 4.074

2.  Prediction and longitudinal study of CSF biomarkers in mild cognitive impairment.

Authors:  Miroslaw Brys; Elizabeth Pirraglia; Kenneth Rich; Sindre Rolstad; Lisa Mosconi; Remigiusz Switalski; Lidia Glodzik-Sobanska; Susan De Santi; Ray Zinkowski; Pankaj Mehta; Domenico Pratico; Leslie A Saint Louis; Anders Wallin; Kaj Blennow; Mony J de Leon
Journal:  Neurobiol Aging       Date:  2007-09-24       Impact factor: 4.673

3.  Cerebrospinal fluid biomarkers and rate of cognitive decline in very mild dementia of the Alzheimer type.

Authors:  Barbara J Snider; Anne M Fagan; Catherine Roe; Aarti R Shah; Elizabeth A Grant; Chengjie Xiong; John C Morris; David M Holtzman
Journal:  Arch Neurol       Date:  2009-05

Review 4.  Host and viral factors influencing the pathogenesis of HIV-associated neurocognitive disorders.

Authors:  Suman Jayadev; Gwenn A Garden
Journal:  J Neuroimmune Pharmacol       Date:  2009-04-17       Impact factor: 4.147

5.  Beta amyloid in Alzheimer's disease: increased deposition in brain is reflected in reduced concentration in cerebrospinal fluid.

Authors:  Timo Grimmer; Matthias Riemenschneider; Hans Förstl; Gjermund Henriksen; William E Klunk; Chester A Mathis; Tohru Shiga; Hans-Jürgen Wester; Alexander Kurz; Alexander Drzezga
Journal:  Biol Psychiatry       Date:  2009-03-06       Impact factor: 13.382

6.  Decreased cerebrospinal fluid Abeta(42) correlates with brain atrophy in cognitively normal elderly.

Authors:  Anne M Fagan; Denise Head; Aarti R Shah; Daniel Marcus; Mark Mintun; John C Morris; David M Holtzman
Journal:  Ann Neurol       Date:  2009-02       Impact factor: 10.422

Review 7.  Alzheimer disease: epidemiology, diagnostic criteria, risk factors and biomarkers.

Authors:  Christiane Reitz; Richard Mayeux
Journal:  Biochem Pharmacol       Date:  2014-01-04       Impact factor: 5.858

8.  MRI and CSF biomarkers in normal, MCI, and AD subjects: diagnostic discrimination and cognitive correlations.

Authors:  P Vemuri; H J Wiste; S D Weigand; L M Shaw; J Q Trojanowski; M W Weiner; D S Knopman; R C Petersen; C R Jack
Journal:  Neurology       Date:  2009-07-28       Impact factor: 9.910

9.  Inverse association of cortisol serum levels with T-tau, P-tau 181 and P-tau 231 peptide levels and T-tau/Abeta 1-42 ratios in CSF in patients with mild Alzheimer's disease dementia.

Authors:  Christoph Laske; Elke Stransky; Andreas Fritsche; Gerhard W Eschweiler; Thomas Leyhe
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2008-09-19       Impact factor: 5.270

10.  Use of fuzzy edge single-photon emission computed tomography analysis in definite Alzheimer's disease--a retrospective study.

Authors:  Robert Rusina; Jaromír Kukal; Tomás Belícek; Marie Buncová; Radoslav Matej
Journal:  BMC Med Imaging       Date:  2010-09-01       Impact factor: 1.930

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.