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

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 G. lucidum G. lucidum R of BP network model was 0.986 43, by high resolution mass spectrometry. The compounds related to immune activity in G. lucidum were determined in this study. (C) 2021 Beijing Academy of Food Sciences. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd.

Automated summary

This study elucidated the immunoregulation of Ganoderma lucidum by establishing HPLC fingerprint, spectrum-effect relationship, and BP neural network model. The research successfully predicted the active compounds and efficacy of G. lucidum, and identified immune activity-related compounds through high resolution mass spectrometry.