Literature DB >> 26923012

What are the Most Frequently Impaired Markers of Neurodegeneration in ADNI Subjects?

Daniela Andriuta1, Véronique Moullart2, Susanna Schraen3, Agnes Devendeville1,4, Marc-Etienne Meyer2, Olivier Godefroy1.   

Abstract

The aim of this study was to examine the relationship between cerebrospinal fluid (CSF) levels of biomarkers for Alzheimer's disease (AD) (Aβ1-42, t-tau, and p-tau) and 18Fluorodeoxyglucose positron emission tomography (FDG-PET) hypometabolism in subjects from the Alzheimer's Disease Neuroimaging Initiative, and specifically to determine which index of neurodegeneration was most frequently affected. The secondary objective was to determine the most frequently hypometabolic region in patients with a CSF AD signature (abnormal Aβ1-42 and abnormal p-tau). We included the 372 subjects (85 normal subjects, 212 patients with mild cognitive impairment, and 75 patients with AD) with a CSF biomarker dosage (Aβ1-42, t-tau, and p-tau) and brain FDG-PET. The relationship between FDG-PET metabolism (in five regions of interest (ROI) known to be damaged in AD) and CSF t-tau and p-tau levels was studied as a function of CSF Aβ1-42 status. FDG-PET hypometabolism and CSF t-tau and p-tau levels were correlated only in patients with an abnormal CSF Aβ1-42 level (t-tau: R2 = 0.044, p = 0.001; p-tau: R2 = 0.02, p = 0.03). In the latter patients, CSF p-tau was the most frequently (p = 0.0001) abnormal neurodegeneration marker (p-tau: 92.8%; FDG-PET: 56.5%; CSF t-tau: 59.1%). Within the five ROI of FDG PET, the angular gyrus metabolism (R2 = 0.149; p = 0.0001) was selected as the most tightly associated with CSF AD signature. The relation between CSF markers of neurodegeneration (p-tau and t-tau) and brain hypometabolism (in FDG-PET) is conditioned by presence of amyloid abnormality. This finding supports the current physiopathological model of AD. P-tau is the most frequently impaired biomarker. Using FDG PET angular gyrus hypometabolism is the most sensitive to CSF-biomarker-defined AD.

Entities:  

Keywords:  Alzheimer’s disease; FDG-PET metabolism; cerebrospinal fluid biomarkers; neurodegeneration markers; tau

Mesh:

Substances:

Year:  2016        PMID: 26923012     DOI: 10.3233/JAD-150829

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  4 in total

1.  Cognitive Variability Predicts Incident Alzheimer's Disease and Mild Cognitive Impairment Comparable to a Cerebrospinal Fluid Biomarker.

Authors:  Carey E Gleason; Derek Norton; Eric D Anderson; Michelle Wahoske; Danielle T Washington; Emre Umucu; Rebecca L Koscik; N Maritza Dowling; Sterling C Johnson; Cynthia M Carlsson; Sanjay Asthana
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

2.  The prevalence and biomarkers' characteristic of rapidly progressive Alzheimer's disease from the Alzheimer's Disease Neuroimaging Initiative database.

Authors:  Maowen Ba; Xiaofeng Li; Kok Pin Ng; Tharick A Pascoal; Sulantha Mathotaarachchi; Pedro Rosa-Neto; Serge Gauthier
Journal:  Alzheimers Dement (N Y)       Date:  2017-02-09

3.  Plasma tau predicts cerebral vulnerability in aging.

Authors:  Jose L Cantero; Mercedes Atienza; Jaime Ramos-Cejudo; Silvia Fossati; Thomas Wisniewski; Ricardo S Osorio
Journal:  Aging (Albany NY)       Date:  2020-11-04       Impact factor: 5.682

4.  Synaptic proteins associated with cognitive performance and neuropathology in older humans revealed by multiplexed fractionated proteomics.

Authors:  Becky C Carlyle; Savannah E Kandigian; Johannes Kreuzer; Sudeshna Das; Bianca A Trombetta; Yikai Kuo; David A Bennett; Julie A Schneider; Vladislav A Petyuk; Robert R Kitchen; Robert Morris; Angus C Nairn; Bradley T Hyman; Wilhelm Haas; Steven E Arnold
Journal:  Neurobiol Aging       Date:  2021-04-24       Impact factor: 4.673

  4 in total

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