Optimization of Sample Preparation for Metabolomics Exploration of Urine, Feces, Blood and Saliva in Humans Using Combined NMR and UHPLC-HRMS Platforms

Currently, most clinical studies in metabolomics only consider a single type of sample such as urine, plasma, or feces and use a single analytical platform, either NMR or MS. Although some studies have already investigated metabolomics data from multiple fluids, the information is limited to a uniqu...

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Bibliographic Details
Main Authors: Cécile Martias, Nadine Baroukh, Sylvie Mavel, Hélène Blasco, Antoine Lefèvre, Léa Roch, Frédéric Montigny, Julie Gatien, Laurent Schibler, Diane Dufour-Rainfray, Lydie Nadal-Desbarats, Patrick Emond
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Molecules
Subjects:
Online Access:https://www.mdpi.com/1420-3049/26/14/4111
Description
Summary:Currently, most clinical studies in metabolomics only consider a single type of sample such as urine, plasma, or feces and use a single analytical platform, either NMR or MS. Although some studies have already investigated metabolomics data from multiple fluids, the information is limited to a unique analytical platform. On the other hand, clinical studies investigating the human metabolome that combine multi-analytical platforms have focused on a single biofluid. Combining data from multiple sample types for one patient using a multimodal analytical approach (NMR and MS) should extend the metabolome coverage. Pre-analytical and analytical phases are time consuming. These steps need to be improved in order to move into clinical studies that deal with a large number of patient samples. Our study describes a standard operating procedure for biological specimens (urine, blood, saliva, and feces) using multiple platforms (<sup>1</sup>H-NMR, RP-UHPLC-MS, and HILIC-UHPLC-MS). Each sample type follows a unique sample preparation procedure for analysis on a multi-platform basis. Our method was evaluated for its robustness and was able to generate a representative metabolic map.
ISSN:1420-3049