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Food Science and Human Wellness 2021, 10(3): 278-288 https://doi.org/10.1016/j.fshw.2021.02.019
Research Article | Open Access | Issue | Published: 16 April 2021

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

Show Author's Information Changqin Lia,b,c,1,  Yiping Cuia,b,1,  Jie Lua,  Lijun Menga,  Changyang Maa,b,c,  Zhenhua Liua,b,c( ),  Yan Zhangd( ),  Wenyi Kanga,b,c( )
National R & D Center for Edible Fungus Processing Technology, Henan University, Kaifeng 475004, China
Functional Food Engineering Technology Research Center, Henan Province, Kaifeng, 475004, China
Joint International Research Laboratory of Food & Medicine Resource Function, Henan Province, Henan University, Kaifeng 475004, China
Hebei Food Inspection and Research Institute, Shijiazhuang 050091, China

1 These authors contributed equally to this work.

Peer review under responsibility of KeAi Communications Co., Ltd

Keywords:
Ganoderma lucidum, RAW 264.7 cell, Spectrum-effect relationships, Component knock-out, BP neural network
Cite this article:
Li C, Cui Y, Lu J, et al. Spectrum-effect relationship of immunologic activity of Ganoderma lucidum by UPLC-MS/MS and component knock-out method. Food Science and Human Wellness, 2021, 10(3): 278-288. https://doi.org/10.1016/j.fshw.2021.02.019
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Abstract Full text About this article

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 efficacy index of G. lucidum fingerprint as samples, and a combined evaluation system of G. lucidum fingerprint efficacy was established. The correlation coefficient R of BP network model was 0.986 43, and the error of pharmacodynamic prediction results was in the ideal range. Eight compounds were identified by high resolution mass spectrometry. The compounds related to immune activity in G. lucidum were determined in this study.


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About this article

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

Show Author's information Changqin Lia,b,c,1, Yiping Cuia,b,1, Jie Lua, Lijun Menga, Changyang Maa,b,c, Zhenhua Liua,b,c( ), Yan Zhangd( ), Wenyi Kanga,b,c( )
National R & D Center for Edible Fungus Processing Technology, Henan University, Kaifeng 475004, China
Functional Food Engineering Technology Research Center, Henan Province, Kaifeng, 475004, China
Joint International Research Laboratory of Food & Medicine Resource Function, Henan Province, Henan University, Kaifeng 475004, China
Hebei Food Inspection and Research Institute, Shijiazhuang 050091, China

1 These authors contributed equally to this work.

Peer review under responsibility of KeAi Communications Co., Ltd

Abstract

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 efficacy index of G. lucidum fingerprint as samples, and a combined evaluation system of G. lucidum fingerprint efficacy was established. The correlation coefficient R of BP network model was 0.986 43, and the error of pharmacodynamic prediction results was in the ideal range. Eight compounds were identified by high resolution mass spectrometry. The compounds related to immune activity in G. lucidum were determined in this study.

Keywords: Ganoderma lucidum, RAW 264.7 cell, Spectrum-effect relationships, Component knock-out, BP neural network

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Publication history

Received: 07 June 2020
Revised: 19 August 2020
Accepted: 21 September 2020
Published: 16 April 2021
Issue date: May 2021

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© 2021 Beijing Academy of Food Sciences. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd.

Acknowledgements

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).

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This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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