Cargando…
Screening for Potential Active Components of Fangji Huangqi Tang on the Treatment of Nephrotic Syndrome by Using Integrated Metabolomics Based on “Correlations Between Chemical and Metabolic Profiles”
As for traditional Chinese medicine (TCM) prescription, what puzzled researchers most was how to select proper chemical markers to represent the whole pharmacological action system. In this paper, an integrated metabolomic method was presented for a systematic discovery of potential active component...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6817620/ https://www.ncbi.nlm.nih.gov/pubmed/31695617 http://dx.doi.org/10.3389/fphar.2019.01261 |
_version_ | 1783463460092248064 |
---|---|
author | Liu, Xiao Zhou, Qi-Gang Zhu, Xiao-Chai Xie, Li Cai, Bao-Chang |
author_facet | Liu, Xiao Zhou, Qi-Gang Zhu, Xiao-Chai Xie, Li Cai, Bao-Chang |
author_sort | Liu, Xiao |
collection | PubMed |
description | As for traditional Chinese medicine (TCM) prescription, what puzzled researchers most was how to select proper chemical markers to represent the whole pharmacological action system. In this paper, an integrated metabolomic method was presented for a systematic discovery of potential active components in Fangji Huangqi Tang (FHT), a well-known TCM prescription for nephrotic syndrome treatment, based on “correlations between chemical and metabolic profiles.” Firstly, a metabolomics study was carried out to select representative biomarkers of nephrotic syndrome. Then, after drug administration, the dynamic process of serum composition was investigated by the ultra-high performance liquid chromatography coupled with electrospray ionization–quadrupole–time of flight–mass spectrometry (UHPLC-ESI-Q-TOF-MS) technique to detect the prototypes and related metabolites of relative components from FHT. Pearson correlation analysis was finally used to find out the correlations between the endogenous metabolic spectrums and the chemical serum spectrums. As a result, 17 biomarkers for nephrotic syndrome indication were identified, and the main metabolic pathways of their concern included linoleic acid metabolism; cyanoamino acid metabolism; alpha-linolenic acid metabolism; glycine, serine, and threonine metabolism; arachidonic acid metabolism; and glycerophospholipid metabolism. Meanwhile, active components in FHT for nephrotic syndrome treatment were screened out, including (+)-tetrandrine demethylation, fenfangjine G hydrogenation, tetrandrine, N-methylfangchinoline, tetrandrine demethylation, fangchinoline, glycyrrhetic acid, astragaloside II alcohol dehydration, atractylenolide III demethylation + hydrogenation, atractylenolide III demethylation + hydrogenation, and licoricone-N-acetylcysteine conjugation. This study demonstrated a promising way to elucidate the active chemical material basis of TCM prescription. |
format | Online Article Text |
id | pubmed-6817620 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-68176202019-11-06 Screening for Potential Active Components of Fangji Huangqi Tang on the Treatment of Nephrotic Syndrome by Using Integrated Metabolomics Based on “Correlations Between Chemical and Metabolic Profiles” Liu, Xiao Zhou, Qi-Gang Zhu, Xiao-Chai Xie, Li Cai, Bao-Chang Front Pharmacol Pharmacology As for traditional Chinese medicine (TCM) prescription, what puzzled researchers most was how to select proper chemical markers to represent the whole pharmacological action system. In this paper, an integrated metabolomic method was presented for a systematic discovery of potential active components in Fangji Huangqi Tang (FHT), a well-known TCM prescription for nephrotic syndrome treatment, based on “correlations between chemical and metabolic profiles.” Firstly, a metabolomics study was carried out to select representative biomarkers of nephrotic syndrome. Then, after drug administration, the dynamic process of serum composition was investigated by the ultra-high performance liquid chromatography coupled with electrospray ionization–quadrupole–time of flight–mass spectrometry (UHPLC-ESI-Q-TOF-MS) technique to detect the prototypes and related metabolites of relative components from FHT. Pearson correlation analysis was finally used to find out the correlations between the endogenous metabolic spectrums and the chemical serum spectrums. As a result, 17 biomarkers for nephrotic syndrome indication were identified, and the main metabolic pathways of their concern included linoleic acid metabolism; cyanoamino acid metabolism; alpha-linolenic acid metabolism; glycine, serine, and threonine metabolism; arachidonic acid metabolism; and glycerophospholipid metabolism. Meanwhile, active components in FHT for nephrotic syndrome treatment were screened out, including (+)-tetrandrine demethylation, fenfangjine G hydrogenation, tetrandrine, N-methylfangchinoline, tetrandrine demethylation, fangchinoline, glycyrrhetic acid, astragaloside II alcohol dehydration, atractylenolide III demethylation + hydrogenation, atractylenolide III demethylation + hydrogenation, and licoricone-N-acetylcysteine conjugation. This study demonstrated a promising way to elucidate the active chemical material basis of TCM prescription. Frontiers Media S.A. 2019-10-22 /pmc/articles/PMC6817620/ /pubmed/31695617 http://dx.doi.org/10.3389/fphar.2019.01261 Text en Copyright © 2019 Liu, Zhou, Zhu, Xie and Cai http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Pharmacology Liu, Xiao Zhou, Qi-Gang Zhu, Xiao-Chai Xie, Li Cai, Bao-Chang Screening for Potential Active Components of Fangji Huangqi Tang on the Treatment of Nephrotic Syndrome by Using Integrated Metabolomics Based on “Correlations Between Chemical and Metabolic Profiles” |
title | Screening for Potential Active Components of Fangji Huangqi Tang on the Treatment of Nephrotic Syndrome by Using Integrated Metabolomics Based on “Correlations Between Chemical and Metabolic Profiles” |
title_full | Screening for Potential Active Components of Fangji Huangqi Tang on the Treatment of Nephrotic Syndrome by Using Integrated Metabolomics Based on “Correlations Between Chemical and Metabolic Profiles” |
title_fullStr | Screening for Potential Active Components of Fangji Huangqi Tang on the Treatment of Nephrotic Syndrome by Using Integrated Metabolomics Based on “Correlations Between Chemical and Metabolic Profiles” |
title_full_unstemmed | Screening for Potential Active Components of Fangji Huangqi Tang on the Treatment of Nephrotic Syndrome by Using Integrated Metabolomics Based on “Correlations Between Chemical and Metabolic Profiles” |
title_short | Screening for Potential Active Components of Fangji Huangqi Tang on the Treatment of Nephrotic Syndrome by Using Integrated Metabolomics Based on “Correlations Between Chemical and Metabolic Profiles” |
title_sort | screening for potential active components of fangji huangqi tang on the treatment of nephrotic syndrome by using integrated metabolomics based on “correlations between chemical and metabolic profiles” |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6817620/ https://www.ncbi.nlm.nih.gov/pubmed/31695617 http://dx.doi.org/10.3389/fphar.2019.01261 |
work_keys_str_mv | AT liuxiao screeningforpotentialactivecomponentsoffangjihuangqitangonthetreatmentofnephroticsyndromebyusingintegratedmetabolomicsbasedoncorrelationsbetweenchemicalandmetabolicprofiles AT zhouqigang screeningforpotentialactivecomponentsoffangjihuangqitangonthetreatmentofnephroticsyndromebyusingintegratedmetabolomicsbasedoncorrelationsbetweenchemicalandmetabolicprofiles AT zhuxiaochai screeningforpotentialactivecomponentsoffangjihuangqitangonthetreatmentofnephroticsyndromebyusingintegratedmetabolomicsbasedoncorrelationsbetweenchemicalandmetabolicprofiles AT xieli screeningforpotentialactivecomponentsoffangjihuangqitangonthetreatmentofnephroticsyndromebyusingintegratedmetabolomicsbasedoncorrelationsbetweenchemicalandmetabolicprofiles AT caibaochang screeningforpotentialactivecomponentsoffangjihuangqitangonthetreatmentofnephroticsyndromebyusingintegratedmetabolomicsbasedoncorrelationsbetweenchemicalandmetabolicprofiles |