학술논문
Levels of lipid-derived gut microbial metabolites differ among plant matrices in an in vitro model of colon fermentation.
Document Type
Academic Journal
Author
Huyan Z; Food Quality and Design Group, Wageningen University & Research, Wageningen, the Netherlands.; Pellegrini N; Food Quality and Design Group, Wageningen University & Research, Wageningen, the Netherlands; Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Udine, Italy.; Rubert J; Food Quality and Design Group, Wageningen University & Research, Wageningen, the Netherlands; Division of Human Nutrition and Health, Wageningen University & Research, the Netherlands.; Steegenga WT; Division of Human Nutrition and Health, Wageningen University & Research, the Netherlands.; Capuano E; Food Quality and Design Group, Wageningen University & Research, Wageningen, the Netherlands. Electronic address: edoardo.capuano@wur.nl.
Source
Publisher: Published on behalf of the Canadian Institute of Food Science and Technology by Elsevier Applied Science Country of Publication: Canada NLM ID: 9210143 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-7145 (Electronic) Linking ISSN: 09639969 NLM ISO Abbreviation: Food Res Int Subsets: MEDLINE
Subject
Language
English
Abstract
This study explored differences in microbial lipid metabolites among sunflower seeds, soybeans, and walnuts. The matrices were subjected to in vitro digestion and colonic fermentation. Defatted digested materials and fiber/phenolics extracted therefrom were added to sunflower oil (SO) and also fermented. Targeted and untargeted lipidomics were employed to monitor and tentatively identify linoleic acid (LA) metabolites. Walnut fermentation produced the highest free fatty acids (FFAs), LA, and conjugated LAs (CLAs). Defatted digested walnuts added to SO boosted FFAs and CLAs production; the addition of fibre boosted CLAs, whereas the addition of phenolics only increased 9e,11z-CLA and 10e,12z-CLA. Several di-/tri-hydroxy-C18-FAs, reported as microbial LA metabolites for the first time, were annotated. Permutational multivariate analysis of variance indicated significant impacts of food matrix presence and type on lipidomics and C18-FAs. Our findings highlight how the food matrices affect CLA production from dietary lipids, emphasizing the role of food context in microbial lipid metabolism.
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.
(Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
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.
(Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)