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Updated: Jul 4, 2026

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

Mass Spectrometry-Based Metabolomics Multi-platform for Alzheimer's Disease Research.

Álvaro González-Domínguez¹, Ana Sayago^2,3, Ángeles Fernández-Recamales^2,3

¹Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Hospital Universitario Puerta del Mar, Universidad de Cádiz, Cádiz, Spain.

Methods in Molecular Biology (Clifton, N.J.)

|March 1, 2024

Summary

This study details a mass spectrometry multi-platform for Alzheimer's disease research. It combines direct, reversed-phase ultrahigh-performance liquid chromatography, and gas chromatography methods for comprehensive metabolomics analysis.

Keywords:

Alzheimer’s disease Direct MS analysis Gas chromatography Mass spectrometry Metabolomics Multi-platform Ultrahigh-performance liquid chromatography

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Published on: December 15, 2023

Area of Science:

Biochemistry
Neuroscience
Analytical Chemistry

Background:

Comprehensive metabolomics analysis of complex biological systems is crucial.
Integrating complementary analytical platforms is a common strategy.
Alzheimer's disease research requires advanced analytical techniques.

Purpose of the Study:

To describe methods and tips for applying a mass spectrometry multi-platform in Alzheimer's disease research.
To detail the combination of direct mass spectrometry with orthogonal hyphenated approaches.
To optimize procedures for analyzing diverse biological samples.

Main Methods:

Utilized a mass spectrometry multi-platform approach.
Combined direct mass spectrometry with reversed-phase ultrahigh-performance liquid chromatography (RP-UHPLC).
Integrated gas chromatography (GC) as an orthogonal hyphenated technique.

Main Results:

Developed and optimized procedures for Alzheimer's disease metabolomics.
Successfully applied the multi-platform approach to various biological samples.
Enabled comprehensive analysis of human and animal model samples.

Conclusions:

The described mass spectrometry multi-platform facilitates in-depth metabolomics in Alzheimer's disease research.
Optimized methods allow for the analysis of diverse sample types, including brain tissue and biofluids.
This integrated approach enhances the understanding of Alzheimer's disease pathophysiology.