Ultra‐high performance liquid chromatography‐quadrupole/time‐of‐flight mass spectrometry‐based lipidomics reveals key lipid molecules as potential therapeutic targets of Polygonum cuspidatum against hyperlipidemia in a hamster model

Abstract

Polygonum cuspidatum is a homology of traditional medicine and functional food widely distributed around the world. Our previous study on the hyperlipidemic animal model demonstrated that Polygonum cuspidatum was effective in ameliorating hyperlipidemia, which is characterized by lipid disorders. Herein, the regulatory effect of Polygonum cuspidatum on lipid metabolism needs to be known if its hypolipidemic mechanism is desired to clarify. In this study, an ultra-high performance liquid chromatography-quadrupole/time-of-flight mass spectrometry-based lipidomic strategy was first applied to investigate the lipidomic patterns of high-fat diet-induced hyperlipidemic hamsters when treated with Polygonum cuspidatum. The results showed that Polygonum cuspidatum improved the lipidomic profile of hyperlipidemia. A total of 65 differential lipids related to the hypolipidemic effect of Polygonum cuspidatum were screened out and identified, and these differential lipids covered various categories, such as phosphatidylcholines, phosphatidylethanolamines, triacylglycerols, sphingomyelins and so on. Orally administrated Polygonum cuspidatum restored these differential lipids back to normal or nearly normal levels. This study adopted lipidomics to reveal the key lipid molecules as potential therapeutic targets of

Exploring the in vitro anti‐inflammatory activity of gross saponins of Tribulus terrestris L. fruit by using liquid chromatography‐mass spectrometry‐based cell metabolomics approach

“…Therefore, BV2 cells are often chosen as a study subject for inflammation models. LC-MS has been widely applied in metabolomics-related research owing to its comprehensive identification and quantification ability for polar, weakly polar, and neutral metabolites [26,27]. Advanced column technology has also increased the metabolite coverage and reduced the analysis time.…”