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LC-IMS-HRMS for identification of biomarkers in untargeted metabolomics: The effects of pterostilbene and resveratrol consumption in liver steatosis, animal model.

Authors :
Lacalle-Bergeron L
Izquierdo-Sandoval D
Fernández-Quintela A
Portillo MP
Sancho JV
Hernández F
Portolés T
Source :
Food research international (Ottawa, Ont.) [Food Res Int] 2023 Mar; Vol. 165, pp. 112376. Date of Electronic Publication: 2023 Jan 02.
Publication Year :
2023

Abstract

Untargeted metabolomics with the combination of ion mobility separation coupled to high resolution mass spectrometry (IMS-HRMS) was applied to investigate the impact of resveratrol and pterostilbene supplementation on the metabolic fingerprint of the Wistar rats liver with induced liver steatosis. RP-LC and HILIC in both ionisation modes were employed to analyse the liver samples (n = 40) from Wistar rats fed with a high-fat and high-fructose diet, supplemented or not with resveratrol and pterostilbene. After univariate and multivariate statistical analysis, 34 metabolites were highlighted in the different diets and elucidated. Despite the structural similarity, different alterations in liver metabolism were observed by the supplementations. Resveratrol treatment was characterised by the alteration in metabolism of 17 lysophospholipids, while pterostilbene affected some vitamins and derivatives, among others. IMS has demonstrated great potential in the elucidation process thanks to the additional structural descriptor the CCS (Å <superscript>2</superscript> ), providing more confidence in the identification.<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1873-7145
Volume :
165
Database :
MEDLINE
Journal :
Food research international (Ottawa, Ont.)
Publication Type :
Academic Journal
Accession number :
36869462
Full Text :
https://doi.org/10.1016/j.foodres.2022.112376