Analysis of Metabolite Distribution in Rat Liver of High-Fat Model by Mass Spectrometry Imaging

Author:

Mao Hongmei1,Wang Wenjun2,Xiang Xuesong1,Li Yan1,Zhao Jinpeng1,Huang Yin3,Di Shuangshuang45,Zhuo Qin1,Nie Honggang45ORCID

Affiliation:

1. Key Laboratory of Trace Element Nutrition of National Health Commission, National Institute for Nutrition and Health, Chinese Center for Diseases Control and Prevention, Beijing 100050, China

2. Beijing Junfeix Technology Co., Ltd., Beijing 100081, China

3. Suzhou PANOMIX Biomedical Technology Co., Ltd., Suzhou 215125, China

4. Analytical Instrumentation Center, Peking University, Beijing 100871, China

5. Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China

Abstract

Hyperlipidemia is a medical condition characterized by elevated levels of blood lipids, especially triglycerides (TG). However, it remains unclear whether TG levels remain consistently elevated throughout the entire developmental stage of the high-lipid state. In our animal experiment, we found that TG levels were significantly higher in the early stage of the high-lipid model but significantly decreased at the 14th week of the late stage, reaching levels similar to those of the control group. This suggests that TG levels in the high-lipid model are not always higher than those of the control group. To determine the reason for this observation, we used in situ mass spectrometry imaging (MSI) to detect the distribution of metabolites in the liver of rats. The metabolite distribution of the control rats at different stages was significantly different from that of the model rats, and the high-lipid model differed significantly from the control rats. We identified nine functional metabolites that showed differences throughout the period, namely, PA(20:3-OH/i-21:0), PA(20:4-OH/22:6), PG(20:5-OH/i-16:0), PG(22:6-2OH/i-13:0), PG(O-18:0/20:4), PGP(18:3-OH/i-12:0), PGP(PGJ2/i-15:0), SM(d18:0/18:1-2OH), and TG(14:0/14:0/16:0), among which TG was most significantly correlated with hyperlipidemia and high lipid. This study is unique in that it used MSI to reveal the changes in metabolites in situ, showing the distribution of different metabolites or the same metabolite in liver tissue. The findings highlight the importance of considering the animal’s age when using TG as a biomarker for hyperlipidemia. Additionally, the MSI images of the liver in the high-lipid model clearly indicated the distribution and differences of more significant metabolites, providing valuable data for further research into new biomarkers and mechanisms of hyperlipidemia. This new pathway of in situ, visualized, and data-rich metabolomics research provides a more comprehensive understanding of the characteristics of high lipid and its implications for disease prevention and treatment.

Funder

National Key Research & Development Program of China

National Financial Projects: Assessment and application of nutrients requirement and food environment for Chinese residents

Publisher

MDPI AG

Subject

Molecular Biology,Biochemistry,Endocrinology, Diabetes and Metabolism

Reference46 articles.

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4. Hyperlipidemia as a Risk Factor for Cardiovascular Disease;Nelson;Prim. Care-Clin. Off. Pract.,2013

5. Alteration of Lipid Metabolism in Chronic Kidney Disease, the Role of Novel Antihyperlipidemic Agents, and Future Directions;Sudhakaran;Rev. Cardiovasc. Med.,2018

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