Screening Quality Markers of Regulating Lipid Metabolism Activity of Rubus suavissimus S. Lee Based on Spectral Effect Relationship

Objective: The study was designed to test solvent extracts of Rubus suavissimus (RS) for compounds that regulate lipid metabolism and to measure their relative activity as quantitative markers of lipid metabolism-regulating activities based on the spectrum-effect relationship. Method: RS was extracted with 95% ethanol, the different extraction parts were successively extracted with petroleum ether, methylene chloride, ethyl acetate and n-butanol, respectively. The solution of different extraction parts was applied to the induced differentiated 3T3-L1 preadipocytes, and the oil red O staining and triglyceride release from the cells were determined to screen the best metabolism-regulating site. Analysis of different extraction sited by UPLC-Q-TOF-MS/MS technique to separate and identify the components. Based on specific assays, image intensity analysis, grey correlation and partial least squares regressions, the spectrum-effect relationship of the most abundant active components and their ability to regulate lipid metabolism were determined, and the quality markers were screened. Results: Ethyl acetate and n-butanol extraction site was the best metabolism-regulating site. Four components, including ellagic acid, centaurin-3-O-rutinoside, rubusoside and enantio-kauri-16-ene-19-carboxylic acid-13-O-β-D-glucoside were highly associated with metabolism-regulating effects. It could be used as quality markers for regulating lipid metabolism. Conclusion: Investigation of the quality markers of RS extracts based on the spectrum-effect relationship is of great importance for elucidating the pharmacodynamics, screening the core quality markers for therapeutic activity, and ensuring the safety and rational application of traditional medicines.