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.
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).
作者简介
Changqin Li,These authors contributed equally to this work;Yiping Cui,These authors contributed equally to this work;Corresponding authors:Zhenhua Liu,E-mail address:liuzhenhua623@163.com;Corresponding authors:Yan Zhang,snowwinglv@126.com;Corresponding authors:Wenyi Kang,kangweny@hotmail.com。
