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Serum metabolomic profiling in patients with Alzheimer Disease and Amnestic Mild Cognitive Impairment by GC/MS.

OBJECTIVES
The aim of this study is to characterize the serum metabolic profiles of patients with Alzheimer Disease (AD) and Amnestic Mild Cognitive Impairment (AMCI) using metabolomics based on GC/MS.


METHODS
Serum samples were collected from patients with AD (n=30), AMCI (n=32), and normal healthy controls (NOR, n=40). Metabolite profiles were performed with gas chromatography-mass spectrometry (GC/MS) in conjunction with multivariate statistical analysis, and possible biomarker metabolites were identified.


RESULTS
31 kinds of endogenous metabolites could be identified simultaneously. 11 components were chosen as biomarker metabolites between AD and NOR groups, and these metabolites were closely related to 7 biological pathways: arginine and proline metabolism, phenylalanine metabolism, beta-alanine metabolism, primary bile acid synthesis, glutathione metabolism, starch and sucrose metabolism and steroid hormone biosynthesis. Meanwhile,10 components were chosen as biomarker metabolites between AMCI and NOR groups and 7 biological pathways were closely related: arginine and proline metabolism, phenylalanine metabolism, citrate cycle, alanine, aspartate and glutamate metabolism, taurine and hypotaurine metabolism, starch and sucrose metabolism, and steroid hormone biosynthesis.


CONCLUSIONS
Our study distinguished serum metabotypes between AD, AMCI and NOR patients successfully. The implementation of this metabolomic strategy may help to develop biochemical insight into the metabolic alterations in AD/AMCI and will be helpful for the further understanding of pathogenesis.