A new metabolomic workflow for early detection of Alzheimer's disease

作者：Ibanez Clara; Simo Carolina^*; Barupal Dinesh K; Fiehn Oliver; Kivipelto Miia; Cedazo Minguez Angel; Cifuentes Alejandro

来源：Journal of Chromatography A, 2013, 1302: 65-71.

DOI：10.1016/j.chroma.2013.06.005

• Metabolomics
• Alzheimer's disease
• UHPLC-MS
• Multivariate statistical analysis

Alzheimer's disease (AD) is the most prevalent cause of dementia among older people. Although AD probably starts 20-30 years before first clinical symptoms become noticeable, nowadays it cannot be diagnosed accurately in its early stages. In this work, we present a new MS-based metabolomic approach based on the use of ultra-high performance liquid chromatography-time-of-flight mass spectrometry (UHPLC-TOF MS) to investigate cerebrospinal fluid (CSF) samples from patients with different AD stages. With the aim to obtain wide metabolome coverage two different chromatographic separation modes, namely reversed phase (RP) and hydrophilic interaction chromatography (HILIC), were used. RP/UHPLC-MS and HILIC/UHPLC-MS methods were optimized and applied to analyze CSF samples from 75 patients related to AD progression. Significant metabolic differences in CSF samples from subjects with different cognitive status related to AD progression were detected using this methodology, obtaining a group of potential biomarkers together with a classification model by means of a multivariate statistical analysis. The proposed model predicted the development of AD with an accuracy of 98.7% and specificity and sensitivity values above of 95%.

• 出版日期2013-8-9