Plasma Metabolite Profiles of Alzheimer’s Disease and Mild Cognitive Impairment

Gang Wang(Shanghai Jiao Tong University), Yi Zhou(Shanghai Jiao Tong University), Fengjie Huang(Shanghai Jiao Tong University), Huidong Tang(Shanghai Jiao Tong University), Xuhua Xu(Shanghai Jiao Tong University), Jiajian Liu(Shanghai Sixth People's Hospital), Ying Wang(Shanghai Jiao Tong University), Yulei Deng(Shanghai Jiao Tong University), Ru‐Jing Ren(Shanghai Jiao Tong University), Wei Xu(Shanghai Jiao Tong University), Jianfang Ma(Shanghai Jiao Tong University), Yinan Zhang(Shanghai Sixth People's Hospital), Aihua Zhao(Shanghai Sixth People's Hospital), Shengdi Chen(Shanghai Institutes for Biological Sciences), Wei Jia(Shanghai Sixth People's Hospital)
Journal of Proteome Research
April 2, 2014
Cited by 163

Abstract

Previous studies have demonstrated altered metabolites in samples of Alzheimer's disease (AD) patients. However, the sample size from many of them is relatively small and the metabolites are relatively limited. Here we applied a comprehensive platform using ultraperformance liquid chromatography-time-of-flight mass spectrometry and gas chromatography-time-of-flight mass spectrometry to analyze plasma samples from AD patients, amnestic mild cognitive impairment (aMCI) patients, and normal controls. A biomarker panel consisting of six plasma metabolites (arachidonic acid, N,N-dimethylglycine, thymine, glutamine, glutamic acid, and cytidine) was identified to discriminate AD patients from normal control. Another panel of five plasma metabolites (thymine, arachidonic acid, 2-aminoadipic acid, N,N-dimethylglycine, and 5,8-tetradecadienoic acid) was able to differentiate aMCI patients from control subjects. Both biomarker panels had good agreements with clinical diagnosis. The 2 panels of metabolite markers were all involved in fatty acid metabolism, one-carbon metabolism, amino acid metabolism, and nucleic acid metabolism. Additionally, no altered metabolites were found among the patients at different stages, as well as among those on anticholinesterase medication and those without anticholinesterase medication. These findings provide a comprehensive global plasma metabolite profiling and may contribute to making early diagnosis as well as understanding the pathogenic mechanism of AD and aMCI.


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