Issue 15, 2020

NMR-based plasma metabonomics in hyperlipidemia mice

Abstract

Hyperlipidemia dynamics need to be elucidated. 90 Kunming male mice were randomly divided into 18 groups, control groups, and high fat diet groups at 9 time points. On days 7, 10, 15, 18, 21, 24, 28, 31, and 35, the mice were anesthetized and blood was collected into tubes from the eyes. Sections of livers were taken. The plasma glycerol, glucose, leucine, arginine, betaine, lysine, glutamine, glutamate, valine, alanine, and choline were significantly different between the high fat diet groups and the corresponding controls (P < 0.05; VIP > 1). Therefore, the eleven metabolites may be used as potential biomarkers of hyperlipidemia. Based on the Spearman correlation analysis, it was found that valine was significantly associated with C22:6 from the 28th day to the end of the experiment, implying that these two metabolites may be a key point in subsequent research. These significantly affected metabolic pathways, namely arginine biosynthesis, D-glutamine and D-glutamate metabolism, alanine, aspartate and glutamate metabolism, were involved in the pathophysiological process of hyperlipidemia.

Graphical abstract: NMR-based plasma metabonomics in hyperlipidemia mice

Supplementary files

Article information

Article type
Paper
Submitted
07 Mar 2020
Accepted
16 Mar 2020
First published
27 Mar 2020

Anal. Methods, 2020,12, 1995-2001

NMR-based plasma metabonomics in hyperlipidemia mice

Y. Li and X. Zhao, Anal. Methods, 2020, 12, 1995 DOI: 10.1039/D0AY00487A

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