Spectrum-effect relationship of immunologic activity of Ganoderma lucidum by UPLC-MS/MS and component knock-out method  

作　　者：Changqin Li Yiping Cui Jie Lu Lijun Meng Changyang Ma Zhenhua Liu Yan Zhang Wenyi Kang 

机构地区：[1]National R&D Center for Edible Fungus Processing Technology,Henan University,Kaifeng 475004,China [2]Functional Food Engineering Technology Research Center,Henan Province,Kaifeng,475004,China [3]Joint International Research Laboratory of Food&Medicine Resource Function,Henan Province,Henan University,Kaifeng 475004,China [4]Hebei Food Inspection and Research Institute,Shijiazhuang 050091,China

出　　处：《Food Science and Human Wellness》2021年第3期278-288,共11页食品科学与人类健康（英文）

基　　金：This work was funded by the National Key R&D Program of China(2018YFD0400200);Key Project in Science and Technology Agency of Kaifeng City(1906006);Major Public Welfare Projects in Henan Province(201300110200).

摘　　要：This study was designed to elucidate the immunoregulation of Ganoderma lucidum.HPLC fingerprint and spectrum-effect relationship of G.lucidum were established to predict the active compounds and BP neural network model was established to predict the efficacy.Then the target compounds were identified by high resolution mass spectrometry.The results indicated that there are both enhanced immunity and immunosuppressive components in G.lucidum.BP neural network was trained with the common peak area and immune effi cacy index of G.lucidum fi ngerprint as samples,and a combined evaluation system of G.lucidum fi ngerprint effi cacy was established.The correlation coeffi cient R of BP network model was 0.98643,and the error of pharmacodynamic prediction results was in the ideal range.Eight compounds were identifi ed by high resolution mass spectrometry.The compounds related to immune activity in G.lucidum were determined in this study.

关 键 词：Ganoderma lucidum RAW 264.7 cell Spectrum-effect relationships Component knock-out BP neural network 

分 类 号：R284.1[医药卫生—中药学] O657.63[医药卫生—中医学]