Identification of anti‐hepatic fibrosis components in Periplaneta Americana based on spectrum‐effect relationship and chemical component separation

2021 ◽  
Author(s):  
Wenpeng Fu ◽  
Yanwen Zhao ◽  
Jingjing Xie ◽  
Yongshou Yang ◽  
Peiyun Xiao
Keyword(s):  
Hepatic Fibrosis ◽  
Periplaneta Americana ◽  
Chemical Component ◽  
Component Separation ◽  
Effect Relationship ◽  
Spectrum Effect

Spectrum-effect relationship on anti-hepatic fibrosis effect ofRadix Hedysari

2015 ◽  
Vol 33 (4) ◽  
pp. 413 ◽  
Author(s):  
Xinyue CHEN ◽  
Xiaoya LIU ◽  
Yali CHEN ◽  
Yan HONG ◽  
Shilan FENG
Keyword(s):  
Hepatic Fibrosis ◽  
Effect Relationship ◽  
Spectrum Effect

scholarly journals Multivariate Statistical Analysis Uncovers Spectrum–Effect Relationship between HPLC Fingerprints and Antioxidant Activity of Saffron

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Ya You ◽  
Zijin Xu ◽  
Qingrou Zhong ◽  
Lin Zhu ◽  
Susu Lin ◽  
...  
Keyword(s):  
Antioxidant Activity ◽  
Quality Control ◽  
Evaluation Method ◽  
Control Method ◽  
Partial Least Square ◽  
Least Square ◽  
Crocus Sativus ◽  
Effect Relationship ◽  
Spectrum Effect

Crocus sativus L. is commonly used as functional food and medicinal herb in traditional Chinese medicine. In this study, the spectrum–effect relationship was established between HPLC fingerprints and in vitro antioxidant activity of saffron to improve the quality evaluation method of saffron. The fingerprints of 21 batches of saffron collected from different regions were assessed, and the data were further analyzed by chemometric methods, including similarity analysis, hierarchical clustering analysis, principal component analysis, and orthogonal partial least squares discriminant analysis. The spectrum–effect relationship between fingerprints and antioxidant effect of saffron was analyzed by grey relational analysis and partial least square methods to figure out the antioxidant component of saffron. Thirteen common peaks of 21 batches of saffron were included in the analysis, and peak 3 (picrocrocin), peak 7 (crocin I), and peak 10 (crocin II) were identified as the main active components responsible for antioxidant efficacy. Besides, a multi-index quality control method was developed for simultaneous determination of these three antioxidant components in saffron. Taken together, this study provided new strategies for the quality control and the development of new bioactive products of saffron in the future.

Bioactive structural basis of proteoglycans from Sarcandra glabra based on spectrum-effect relationship

2020 ◽  
Vol 259 ◽  
pp. 112941
Author(s):  
Xuyang Sun ◽  
Qianqian Zhao ◽  
Yu Si ◽  
Kaidong Li ◽  
Jingyi Zhu ◽  
...  
Keyword(s):  
Structural Basis ◽  
Effect Relationship ◽  
Spectrum Effect

The Spectrum–Effect Relationship Between HPLC Fingerprint and the Invigorating Blood and Dissolving Stasis Effect of Hawthorn Leaves

2020 ◽  
Vol 83 (3) ◽  
pp. 409-421
Author(s):  
Baoxin Xu ◽  
Jing Gao ◽  
Shengnan Zhao ◽  
Yanrong Li ◽  
Yilong Du ◽  
...  
Keyword(s):  
Hplc Fingerprint ◽  
Effect Relationship ◽  
Spectrum Effect

scholarly journals Multi-Dimensional Spectrum-Effect Relationship of the Impact of Chinese Herbal Formula Lichong Shengsui Yin on Ovarian Cancer

Molecules ◽  
2017 ◽  
Vol 22 (6) ◽  
pp. 979 ◽  
Author(s):  
Yanhong Wang ◽  
Yang Li ◽  
Yan Zhang ◽  
Guan Feng ◽  
Zhixin Yang ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Herbal Formula ◽  
Effect Relationship ◽  
Chinese Herbal Formula ◽  
Chinese Herbal ◽  
Dimensional Spectrum ◽  
Relationship Of ◽  
The Impact ◽  
Spectrum Effect

The spectrum-effect relationship—a rational approach to screening effective compounds, reflecting the internal quality of Chinese herbal medicine

2016 ◽  
Vol 14 (3) ◽  
pp. 177-184 ◽  
Author(s):  
Chun-Sheng ZHU ◽  
Zhi-Jian LIN ◽  
Ming-Liang XIAO ◽  
Hong-Juan NIU ◽  
Bing ZHANG
Keyword(s):  
Herbal Medicine ◽  
Chinese Herbal Medicine ◽  
Rational Approach ◽  
Internal Quality ◽  
Effect Relationship ◽  
Chinese Herbal ◽  
Spectrum Effect

Toxicity of Five Herbs in Aconitum L. on Tetrahymena thermophila Based on Spectrum-effect Relationship

2014 ◽  
Vol 6 (1) ◽  
pp. 29-35 ◽  
Author(s):  
Xiao-jiao Sun ◽  
Tian-tian Liu ◽  
Yan-ling Zhao ◽  
Wen-jun Zou ◽  
Jia-bo Wang ◽  
...  
Keyword(s):  
Tetrahymena Thermophila ◽  
Effect Relationship ◽  
Spectrum Effect

scholarly journals Screening and Characterizing Tyrosinase Inhibitors from Salvia miltiorrhiza and Carthamus tinctorius by Spectrum-Effect Relationship Analysis and Molecular Docking

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Ya-Li Wang ◽  
Guang Hu ◽  
Qian Zhang ◽  
Yu-Xiu Yang ◽  
Qiao-Qiao Li ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Amino Acid ◽  
Salvia Miltiorrhiza ◽  
Carthamus Tinctorius ◽  
Amino Acid Residues ◽  
Analysis Method ◽  
Effect Relationship ◽  
Relationship Analysis ◽  
Ms Analysis ◽  
Spectrum Effect

Tyrosinase (TYR) is a rate-limiting enzyme in the synthesis of melanin, while direct TYR inhibitors are a class of important clinical antimelanoma drugs. This study established a spectrum-effect relationship analysis method and high-performance liquid chromatography-mass spectrometry (LC-MS) analysis method to screen and identify the active ingredients that inhibited TYR in Salvia miltiorrhiza–Carthamus tinctorius (Danshen–Honghua, DH) herbal pair. Seventeen potential active compounds (peaks) in the extract of DH herbal pair were predicted, and thirteen of them were tentatively identified by LC-MS analysis. Furthermore, TYR inhibitory activities of five pure compounds obtained from the DH herbal pair were validated in the test in which kojic acid served as a positive control drug. Among them, three compounds including protocatechuic aldehyde, hydroxysafflor yellow A, and tanshinone IIA were verified to have high TYR inhibitory activity (IC50 value of 455, 498, and 1214 μM, resp.) and bind to the same amino acid residues in TYR catalytic pocket according to the results of the molecular docking test. However, the other two compounds lithospermic acid and salvianolic acid A had a weak effect on TYR, as they do not combine with the active amino acid residues or act on the active center of TYR. Therefore, the developed methods (spectrum-effect relationship analysis and molecular docking) could be used to effectively screen TYR inhibitors in complex mixtures such as natural products.

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