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

Clara Ibáñez, Carolina Simó, Dinesh K. Barupal, Oliver Fiehn, Miia Kivipelto, Angel Cedazo-Mínguez, Alejandro Cifuentes

Research output: Contribution to journalArticle

52 Citations (Scopus)

Abstract

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%.

Original languageEnglish (US)
Pages (from-to)65-71
Number of pages7
JournalJournal of Chromatography A
Volume1302
DOIs
StatePublished - Aug 9 2013

Fingerprint

Metabolomics
Workflow
Early Diagnosis
Alzheimer Disease
Cerebrospinal fluid
Cerebrospinal Fluid
Chromatography
Hydrophobic and Hydrophilic Interactions
Disease Progression
Metabolome
High performance liquid chromatography
Biomarkers
Mass spectrometry
Dementia
Mass Spectrometry
Statistical methods
Multivariate Analysis
High Pressure Liquid Chromatography
Sensitivity and Specificity

Keywords

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

ASJC Scopus subject areas

  • Analytical Chemistry
  • Organic Chemistry
  • Biochemistry

Cite this

Ibáñez, C., Simó, C., Barupal, D. K., Fiehn, O., Kivipelto, M., Cedazo-Mínguez, A., & Cifuentes, A. (2013). A new metabolomic workflow for early detection of Alzheimer's disease. Journal of Chromatography A, 1302, 65-71. https://doi.org/10.1016/j.chroma.2013.06.005

A new metabolomic workflow for early detection of Alzheimer's disease. / Ibáñez, Clara; Simó, Carolina; Barupal, Dinesh K.; Fiehn, Oliver; Kivipelto, Miia; Cedazo-Mínguez, Angel; Cifuentes, Alejandro.

In: Journal of Chromatography A, Vol. 1302, 09.08.2013, p. 65-71.

Research output: Contribution to journalArticle

Ibáñez, C, Simó, C, Barupal, DK, Fiehn, O, Kivipelto, M, Cedazo-Mínguez, A & Cifuentes, A 2013, 'A new metabolomic workflow for early detection of Alzheimer's disease', Journal of Chromatography A, vol. 1302, pp. 65-71. https://doi.org/10.1016/j.chroma.2013.06.005
Ibáñez C, Simó C, Barupal DK, Fiehn O, Kivipelto M, Cedazo-Mínguez A et al. A new metabolomic workflow for early detection of Alzheimer's disease. Journal of Chromatography A. 2013 Aug 9;1302:65-71. https://doi.org/10.1016/j.chroma.2013.06.005
Ibáñez, Clara ; Simó, Carolina ; Barupal, Dinesh K. ; Fiehn, Oliver ; Kivipelto, Miia ; Cedazo-Mínguez, Angel ; Cifuentes, Alejandro. / A new metabolomic workflow for early detection of Alzheimer's disease. In: Journal of Chromatography A. 2013 ; Vol. 1302. pp. 65-71.
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