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Original Article | Open Access

A multimodel metabolomics approach reveals the molecular effects of the most commonly consumed edible oils in China on physiological changes

Yueqiu Liua, Xinyi Hub, Wen Zhengb, Liqiang Hua, Lu Zhangb, Xin Wena, Yong Zhangb, Dingkun Zhangb, Guoliang Lic ( ), Meng Gongb( )
The Center of Gerontology and Geriatrics, West China-California Research Center for Predictive Intervention Medicine, Institute of Thoracic Oncology, West China Hospital, Sichuan University, Chengdu 610041, China
Laboratory of Clinical Proteomics and Metabolomics, Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, China
School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China

Peer review under responsibility of Beijing Academy of Food Sciences.

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Highlights

• Eating habits affect health. The molecular effect of four most commonly consumed vegetable oils/animal fat with differences in composition of fatty acid in China, i.e., rapeseed oil, sunflowerseed oil, palm oil and lard, on physiological changes were studied in a mouse model via a multimodel metabolomics approach.

• This work demonstrated that the above edible oils might influence and respond differently in aspects of fat digestion and fatty acid metabolism, glutamine and glutamate metabolism, purine metabolism, lipid metablism (including glycerolipids, phospholipids, and lysophospholipids) and redox homeostasis, which can provide a reference for the nutritional evaluation of edible oils.

• This multimodel metabolomics approach can be applied to comprehensively evaluate the potential health implications of newly developed edible oils at molecular level.

Abstract

China is one of the countries with the greatest consumption of edible oils, and eating habits affect health. The effects of the 4 most commonly consumed vegetable oils/animal fat with different fatty acid compositions on physiological changes were studied in a mouse model via a multimodel metabolomics approach in this work. An advanced platform combining liquid chromatography-tandem mass spectrometry and bioinformatics was utilized to study the differences in the lipids of oils. Subsequent multimodel metabolomics, including liver aqueous metabolomics, liver lipidomics, and desorption electrospray ionization-mass spectrometry imaging analysis combined with biochemical assays and histological studies, revealed the shared and distinct physiological changes caused by the oils at the molecular level. Phenotypiccally, lard feeding resulted in the smallest weight gain, with no corresponding triglyceride accumulation in the plasma. The sunflowerseed oil- and rapeseed oil-fed treatments significantly increased plasma lactate and lactate dehydrogenase levels. Consumption of all the types of oil/fat demonstrated a trend of increasing plasma alanine transaminase and aspartate transaminase levels. The palm oil-fed treatment affected the fewest biochemical indicators. At the metabolomic level, lard-fed treatment suggested a carnitine-related increase in mitochondrial fatty acid oxidation, an increase in the tricarboxylic acid cycle and the inhibition of glycolysis, while the rapeseed oil-fed treatment markedly upregulated purine metabolism. Lard-fed treatment upregulated glutamate levels and downregulated the levels of glutathione (GSH) indirect precursor substances acetylglycine and dimethylglycine, whereas treatment with other vegetable oils upregulated glutamine or the GSH precursor substances. From the perspective of lipidomics, vegetable oil treatments promoted triglyceride and diglyceride accumulation in the liver. Comsuption of lard showed a trend of adjusting the abnormal metabolism of lysophosphatidylcholine, sphingomyelin and phosphatidylglycerol. All the oil/fat-fed treatments reduced the levels of phosphatidylinositol, phosphatidylcholines, and phosphatidylethanolamine. The changes in the metabolomics and lipidomics affected oxidative homeostasis, with the consumption of lard and rapeseed oil showing the most significant negative impact on the redex index. The present study can provide a reference for the nutritional evaluation of edible oils.

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Food Science and Human Wellness
Article number: 9250576

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Cite this article:
Liu Y, Hu X, Zheng W, et al. A multimodel metabolomics approach reveals the molecular effects of the most commonly consumed edible oils in China on physiological changes. Food Science and Human Wellness, 2026, 15(9): 9250576. https://doi.org/10.26599/FSHW.2025.9250576

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Received: 25 September 2024
Revised: 10 January 2025
Accepted: 10 February 2025
Published: 09 October 2026
© 2026 Beijing Academy of Food Sciences. Publishing services by Tsinghua University Press.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).