Metabolic signatures of human Alzheimer’s disease (AD): 1H NMR analysis of the polar metabolome of post-mortem brain tissue
Brain tissue from so-called Alzheimer’s disease (AD) mouse models has previously been examined using 1 H NMR-metabolomics, but comparable information concerning human AD is negligible. Since no animal model recapitulates all the features of human AD we undertook the first 1 H NMR-metabolomics invest...
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Published in | Metabolomics Vol. 10; no. 4; pp. 744 - 753 |
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Main Authors | , , |
Format | Journal Article |
Language | English Japanese |
Published |
New York
Springer US
01.08.2014
|
Subjects | |
Online Access | Get full text |
ISSN | 1573-3882 1573-3890 |
DOI | 10.1007/s11306-013-0610-1 |
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Summary: | Brain tissue from so-called Alzheimer’s disease (AD) mouse models has previously been examined using
1
H NMR-metabolomics, but comparable information concerning human AD is negligible. Since no animal model recapitulates all the features of human AD we undertook the first
1
H NMR-metabolomics investigation of human AD brain tissue. Human post-mortem tissue from 15 AD subjects and 15 age-matched controls was prepared for analysis through a series of lyophilised, milling, extraction and randomisation steps and samples were analysed using
1
H NMR. Using partial least squares discriminant analysis, a model was built using data obtained from brain extracts. Analysis of brain extracts led to the elucidation of 24 metabolites. Significant elevations in brain alanine (15.4 %) and taurine (18.9 %) were observed in AD patients (
p
≤ 0.05). Pathway topology analysis implicated either dysregulation of
taurine and hypotaurine metabolism
or
alanine, aspartate and glutamate
metabolism
. Furthermore, screening of metabolites for AD biomarkers demonstrated that individual metabolites weakly discriminated cases of AD [receiver operating characteristic (ROC) AUC <0.67;
p
< 0.05]. However, paired metabolites ratios (e.g. alanine/carnitine) were more powerful discriminating tools (ROC AUC = 0.76;
p
< 0.01). This study further demonstrates the potential of metabolomics for elucidating the underlying biochemistry and to help identify AD in patients attending the memory clinic. |
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ISSN: | 1573-3882 1573-3890 |
DOI: | 10.1007/s11306-013-0610-1 |