Literature DB >> 33288343

UHPLC-qMS spectrum-effect relationships for Rhizoma Paridis extracts.

Xin Qiao1, Cheng Qu1, Qiming Luo1, Yuanzhong Wang2, Jie Yang1, Hua Yang3, Xiaodong Wen4.   

Abstract

Rhizoma Paridis (RP) with significant anti-tumor and haemostatic effects, has been used as the raw material of many Traditional Chinese preparations. However, its active ingredients are still unclear. The present study aimed to discover bioactive ingredients from RP based on spectrum-relationship and chemometric methods. Firstly, the saponins extract was prepared by phytochemical methods. Furthermore, UHPLC-QTOF-MS and UHPLC-qMS were incorporated to establish an efficient and sensitive method for obtaining the chemical profiles of RP. A total of 34 saponins were characterized in RP and 13 of them were assigned as common peaks in 25 batches of samples. After evaluation of the anti-tumor and haemostatic activities of samples, spectrum-effect relationships were investigated by the grey relational analysis (GRA), orthogonal projections to latent structures (OPLS) and back propagation artificial neural network (BP-ANN). These analyses showed that polyphyllin VII (P27), polyphyllin II (P30), dioscin (P31) and polyphyllin I (P33) play a role in the haemostatic effects of RP whereas polyphyllin VII (P27), dioscin (P31), polyphyllin I (P33), progenin III (P34) were assigned as candidate ingredients accounting for the anti-tumor activity of RP. The anti-tumor and haemostatic activities of these screened ingredients were subsequently verified in vitro. Collectively, the present study established the spectrum-effect relationship mode of RP and discovered the bioactive compounds of RP, which could be also used for exploration of bioactive compounds in herbal medicines, especially for trace compounds.
Copyright © 2020. Published by Elsevier B.V.

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Keywords:  Bioactive ingredients; Rhizoma Paridis; Spectrum-effect; UHPLC-qMS

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Year:  2020        PMID: 33288343     DOI: 10.1016/j.jpba.2020.113770

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  1 in total

1.  A stepwise strategy integrating metabolomics and pseudotargeted spectrum-effect relationship to elucidate the potential hepatotoxic components in Polygonum multiflorum.

Authors:  Yunfei Song; Jianbo Yang; Xiaowen Hu; Huiyu Gao; Pengfei Wang; Xueting Wang; Yue Liu; Xianlong Cheng; Feng Wei; Shuangcheng Ma
Journal:  Front Pharmacol       Date:  2022-08-26       Impact factor: 5.988

  1 in total

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