School of Chinese Medicine
Lipidomics identification of metabolic biomarkers in chemically induced hypertriglyceridemic mice
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.
high-resolution MS/MS fragmentation, malonyl CoA, quantification, reversed phase liquid chromatography (RPLC)
Source Publication Title
Journal of Proteome Research
American Chemical Society
Link to Publisher's Edition
Kwan, Hiu Yee, Yong-Mei Hu, Chi Leung Chan, Hui-Hui Cao, Chi Yan Cheng, Si-Yuan Pan, Kai Wing Tse, Yiu Cheong Wu, Zhi-Ling Yu, and Wang Fun Fong. "Lipidomics identification of metabolic biomarkers in chemically induced hypertriglyceridemic mice." Journal of Proteome Research 12.3 (2013): 1387-1398.