Blood-based diagnosis of Alzheimer's disease using fingerprinting metabolomics based on hydrophilic interaction liquid chromatography with mass spectrometry and multivariate statistical analysis.

摘要: Abstract Early and definitive diagnosis of Alzheimer's disease (AD) can lead to a better more-targeted treatment and/or prevention for patients. In the diagnostic biomarkers AD, blood sample represents more non-invasive, inexpensive acceptable sources repeated measurements than cerebrospinal fluid. this study, fingerprinting metabolomics was proposed challenge blood-based defined AD by hydrophilic interaction liquid chromatography mass spectrometry (HILIC/MS). These plasma samples were selected from postmortem specimens based on these pathological examinations. Firstly, we compared HILIC columns non-targeted metabolic assay using pooled plasma. The principal component analysis plot seven performed repeatability chromatograms, be used visualize trends in data sets three-dimensional dispersion, contributory standard deviation number detections. Based results, TSK-Amide 80 TSKgel-NH2 are as reliable HILIC/MS that showed profiling pathology MS chromatograms ranged 1182 2284 compounds. A total 54 peaks evaluated order identify useful ion signal candidates an orthogonal partial least-squares-discriminant analysis. then specifically analyzed HILIC–tandem receiver operating characteristic curve linear discriminant AD. overcome limitations previous challenging directly evaluates specific comparative statistical values raw data.