Document Type

Journal Article

Department/Unit

School of Chinese Medicine

Title

Lipidomics identification of metabolic biomarkers in chemically induced hypertriglyceridemic mice

Language

English

Abstract

In this study, we aim to identify the potential biomarkers in hTG pathogenesis in schisandrin B-induced hTG mouse model. To investigate whether these identified biomarkers are only specific to schisandrin B-induced hTG mouse model, we also measured these biomarkers in a high fat diet (HFD)-induced hTG mouse model. We employed a LC/MS/MS-based lipidomic approach for the study. Mouse liver and serum metabolites were separated by reversed phase liquid chromatography. Metabolite candidates were identified by matching with marker retention times, isotope distribution patterns, and high-resolution MS/MS fragmentation patterns. Subsequently, target candidates were quantified by quantitative MS. In the schisandrin B-induced hTG mice, we found that the plasma fatty acids, diglyceroids, and phospholipids were significantly increased. Palmitic acid and stearic acid were increased in the plasma; oleic acid, linoleic acid, linolenic acid, arachidonic acid, and docosahexaenoic acid were increased in both the plasma and the liver. Acetyl-CoA, malonyl-CoA, and succinyl-CoA were increased only in the liver. The changes in levels of these identified markers were also observed in HFD-induced hTG mouse model. The consistent results obtained from both hTG models not only suggest novel biomarkers in hTG pathogenesis, but they also provide insight into the underlying mechanism of the schisandrin B-induced hTG. © 2013 American Chemical Society.

Keywords

high-resolution MS/MS fragmentation, malonyl CoA, quantification, reversed phase liquid chromatography (RPLC)

Publication Date

2013

Source Publication Title

Journal of Proteome Research

Volume

12

Issue

3

Start Page

1387

End Page

1398

Publisher

American Chemical Society

DOI

10.1021/pr3010327

Link to Publisher's Edition

http://dx.doi.org/10.1021/pr3010327

ISSN (print)

15353893

ISSN (electronic)

15353907

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