Screening Specific Biomarkers of Herbs Using a Metabolomics Approach: A Case Study of Panax ginseng

Abstract Medicinal herbs belonging to the same genus are always easily confused due to their extremely similar morphology and metabolites. Previously, to differentiate them, inherently specific biomarkers were screened out via intuitive comparison of their metabolite profiles. Unfortunately, the sel...

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Autores principales:	Hong-ping Wang, Yan Liu, Chang Chen, Hong-bin Xiao
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/64ff6a1004d54b3b94574a7018024e03
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spelling	oai:doaj.org-article:64ff6a1004d54b3b94574a7018024e032021-12-02T16:06:37ZScreening Specific Biomarkers of Herbs Using a Metabolomics Approach: A Case Study of Panax ginseng10.1038/s41598-017-04712-72045-2322https://doaj.org/article/64ff6a1004d54b3b94574a7018024e032017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-04712-7https://doaj.org/toc/2045-2322Abstract Medicinal herbs belonging to the same genus are always easily confused due to their extremely similar morphology and metabolites. Previously, to differentiate them, inherently specific biomarkers were screened out via intuitive comparison of their metabolite profiles. Unfortunately, the selected biomarkers have worked only partially. Most significant specific biomarkers have been neglected. Herein, a novel method for screening specific biomarkers of medicinal herbs using a metabolomics technique was developed. Firstly, the profiles of a group of easily confused herbs belonging to the same genus were analyzed by ultra-high performance liquid chromatography coupled with high-resolution mass spectrometry to detect all components, including low-response metabolites. Then, all components were compared between the different samples, and specific biomarkers were extracted by the metabolomics techniques of alignment, normalization, defining the sample sets, filtering by frequency and Venn diagram analysis with Mass Profiler Professional (MPP) software. Thirdly, the correlations of these biomarkers were investigated via partial correlational analysis to obtain the most representative specific biomarkers. As an example, selection of specific biomarkers for ginseng (Panax ginseng) was performed, and three specific biomarkers including chikusetsusaponin IVa, ginsenoside Rf and ginsenoside Rc were finally selected and verified as the most representative specific biomarkers of Panax ginseng.Hong-ping WangYan LiuChang ChenHong-bin XiaoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-9 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Hong-ping Wang Yan Liu Chang Chen Hong-bin Xiao Screening Specific Biomarkers of Herbs Using a Metabolomics Approach: A Case Study of Panax ginseng
description	Abstract Medicinal herbs belonging to the same genus are always easily confused due to their extremely similar morphology and metabolites. Previously, to differentiate them, inherently specific biomarkers were screened out via intuitive comparison of their metabolite profiles. Unfortunately, the selected biomarkers have worked only partially. Most significant specific biomarkers have been neglected. Herein, a novel method for screening specific biomarkers of medicinal herbs using a metabolomics technique was developed. Firstly, the profiles of a group of easily confused herbs belonging to the same genus were analyzed by ultra-high performance liquid chromatography coupled with high-resolution mass spectrometry to detect all components, including low-response metabolites. Then, all components were compared between the different samples, and specific biomarkers were extracted by the metabolomics techniques of alignment, normalization, defining the sample sets, filtering by frequency and Venn diagram analysis with Mass Profiler Professional (MPP) software. Thirdly, the correlations of these biomarkers were investigated via partial correlational analysis to obtain the most representative specific biomarkers. As an example, selection of specific biomarkers for ginseng (Panax ginseng) was performed, and three specific biomarkers including chikusetsusaponin IVa, ginsenoside Rf and ginsenoside Rc were finally selected and verified as the most representative specific biomarkers of Panax ginseng.
format	article
author	Hong-ping Wang Yan Liu Chang Chen Hong-bin Xiao
author_facet	Hong-ping Wang Yan Liu Chang Chen Hong-bin Xiao
author_sort	Hong-ping Wang
title	Screening Specific Biomarkers of Herbs Using a Metabolomics Approach: A Case Study of Panax ginseng
title_short	Screening Specific Biomarkers of Herbs Using a Metabolomics Approach: A Case Study of Panax ginseng
title_full	Screening Specific Biomarkers of Herbs Using a Metabolomics Approach: A Case Study of Panax ginseng
title_fullStr	Screening Specific Biomarkers of Herbs Using a Metabolomics Approach: A Case Study of Panax ginseng
title_full_unstemmed	Screening Specific Biomarkers of Herbs Using a Metabolomics Approach: A Case Study of Panax ginseng
title_sort	screening specific biomarkers of herbs using a metabolomics approach: a case study of panax ginseng
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/64ff6a1004d54b3b94574a7018024e03
work_keys_str_mv	AT hongpingwang screeningspecificbiomarkersofherbsusingametabolomicsapproachacasestudyofpanaxginseng AT yanliu screeningspecificbiomarkersofherbsusingametabolomicsapproachacasestudyofpanaxginseng AT changchen screeningspecificbiomarkersofherbsusingametabolomicsapproachacasestudyofpanaxginseng AT hongbinxiao screeningspecificbiomarkersofherbsusingametabolomicsapproachacasestudyofpanaxginseng
_version_	1718384963392372736

Screening Specific Biomarkers of Herbs Using a Metabolomics Approach: A Case Study of Panax ginseng

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