Metabolomic Analysis Identifies Alterations of Amino Acid Metabolome Signatures in the Postmortem Brain of Alzheimer's Disease

Authors
Kim, Yoon HwanShim, Hyun SooKim, Kyoung HeonLee, JungheeChung, Bong ChulKowall, Neil W.Ryu, HoonLee, Jeongae
Issue Date
2019-06
Publisher
KOREAN SOC BRAIN & NEURAL SCIENCE, KOREAN SOC NEURODEGENERATIVE DISEASE
Citation
EXPERIMENTAL NEUROBIOLOGY, v.28, no.3, pp.376 - 389
Abstract
Despite significant advances in neuroscience research over the past several decades, the exact cause of AD has not yet fully understood. The metabolic hypothesis as well as the amyloid and tau hypotheses have been proposed to be associated with AD pathogenesis. In order to identify metabolome signatures from the postmortem brains of sporadic All patients and control subjects, we performed ultra performance liquid chromatography coupled with linear ion trap-Orbitrap mass spectrometer (UPLC-LTQ-Orbitrap-MS). Not only our study identified new metabolome signatures but also verified previously known metabolome profiles in the brain. Statistical modeling of the analytical data and validation of the structural assignments discovered metabolic biomarkers associated with the AD pathogenesis. Interestingly, hypotaurin, myo-inositol and oxo-proline levels were markedly elevated in AD while glutamate and N-acetyl-aspartate were decreased in the postmortem brain tissue of AD patients. In addition, neurosteroid level such as cortisol was significantly increased in AD. Together, our data indicate that impaired amino acid metabolism is associated with AD pathogenesis and the altered amino acid signatures can be useful diagnostic biomarkers of All. Thus, modulation of amino acid metabolism may be a possible therapeutic approach to treat AD.
Keywords
DISCRIMINANT-ANALYSIS; N-ACETYLASPARTATE; OXIDATIVE STRESS; MOUSE-BRAIN; HPLC-MS; TAURINE; GLUTAMATE; STRATEGY; DISCOVERY; DIAGNOSIS; DISCRIMINANT-ANALYSIS; N-ACETYLASPARTATE; OXIDATIVE STRESS; MOUSE-BRAIN; HPLC-MS; TAURINE; GLUTAMATE; STRATEGY; DISCOVERY; DIAGNOSIS; Alzheimer' s disease; Metabolomics; Liquid chromatography mass spectrometry; Biomarkers; amino acid metabolism
ISSN
1226-2560
URI
https://pubs.kist.re.kr/handle/201004/119950
DOI
10.5607/en.2019.28.3.376
Appears in Collections:
KIST Article > 2019
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE