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Spectrum-Effect Relationship between UPLC Fingerprints and Antilung Cancer Effect of Si Jun Zi Tang
Nowadays, an increasing number of patients are seriously affected by lung cancer. Si Jun Zi Tang (SJZ), a four-herb Chinese medicine formula first described approximately one thousand years ago, is often prescribed for cancer patients as a complementary therapy. But the research on the effective mat...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6778903/ https://www.ncbi.nlm.nih.gov/pubmed/31662780 http://dx.doi.org/10.1155/2019/7282681 |
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author | Zhou, Xiaowei Li, Ying Zhang, Mingyu Hao, Junjie Gu, Qiong Liu, Haiyang Chen, Wei Shi, Yafei Dong, Bin Zhang, Yuanyuan Li, Chunyu Li, Guohui |
author_facet | Zhou, Xiaowei Li, Ying Zhang, Mingyu Hao, Junjie Gu, Qiong Liu, Haiyang Chen, Wei Shi, Yafei Dong, Bin Zhang, Yuanyuan Li, Chunyu Li, Guohui |
author_sort | Zhou, Xiaowei |
collection | PubMed |
description | Nowadays, an increasing number of patients are seriously affected by lung cancer. Si Jun Zi Tang (SJZ), a four-herb Chinese medicine formula first described approximately one thousand years ago, is often prescribed for cancer patients as a complementary therapy. But the research on the effective materials for treating cancer using SJZ was rarely reported. To solve this problem, we evaluate the inhibitory effect of 10 samples of SJZ from different origins on PC9 cells. Ultraperformance liquid chromatography (UPLC) and hierarchical cluster analysis (HCA) along with canonical correlation analysis (CCA) and bioactivity validation were used to investigate the underlying correlation between the chemical ingredients and the antiproliferative effect of SJZ on PC9 cells. The evaluation indicated that 10 batches of SJZ could inhibit proliferation of PC9 cells and there was a notable difference in pharmacological activity between the different SJZ samples. The results of CCA and multivariate statistical analysis indicated that ginsenoside Ro and ginsenoside Rg1 might be active constituents of the antiproliferative effect as determined by spectrum-effect relationships. The results showed that bioassay and spectrum-effect relationships are suitable to associate sample quality with the active ingredient associated with clinical efficacy. And our finding would provide foundation and further understanding of the quality evaluation of traditional Chinese medicine decoction. |
format | Online Article Text |
id | pubmed-6778903 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-67789032019-10-29 Spectrum-Effect Relationship between UPLC Fingerprints and Antilung Cancer Effect of Si Jun Zi Tang Zhou, Xiaowei Li, Ying Zhang, Mingyu Hao, Junjie Gu, Qiong Liu, Haiyang Chen, Wei Shi, Yafei Dong, Bin Zhang, Yuanyuan Li, Chunyu Li, Guohui Evid Based Complement Alternat Med Research Article Nowadays, an increasing number of patients are seriously affected by lung cancer. Si Jun Zi Tang (SJZ), a four-herb Chinese medicine formula first described approximately one thousand years ago, is often prescribed for cancer patients as a complementary therapy. But the research on the effective materials for treating cancer using SJZ was rarely reported. To solve this problem, we evaluate the inhibitory effect of 10 samples of SJZ from different origins on PC9 cells. Ultraperformance liquid chromatography (UPLC) and hierarchical cluster analysis (HCA) along with canonical correlation analysis (CCA) and bioactivity validation were used to investigate the underlying correlation between the chemical ingredients and the antiproliferative effect of SJZ on PC9 cells. The evaluation indicated that 10 batches of SJZ could inhibit proliferation of PC9 cells and there was a notable difference in pharmacological activity between the different SJZ samples. The results of CCA and multivariate statistical analysis indicated that ginsenoside Ro and ginsenoside Rg1 might be active constituents of the antiproliferative effect as determined by spectrum-effect relationships. The results showed that bioassay and spectrum-effect relationships are suitable to associate sample quality with the active ingredient associated with clinical efficacy. And our finding would provide foundation and further understanding of the quality evaluation of traditional Chinese medicine decoction. Hindawi 2019-09-22 /pmc/articles/PMC6778903/ /pubmed/31662780 http://dx.doi.org/10.1155/2019/7282681 Text en Copyright © 2019 Xiaowei Zhou et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zhou, Xiaowei Li, Ying Zhang, Mingyu Hao, Junjie Gu, Qiong Liu, Haiyang Chen, Wei Shi, Yafei Dong, Bin Zhang, Yuanyuan Li, Chunyu Li, Guohui Spectrum-Effect Relationship between UPLC Fingerprints and Antilung Cancer Effect of Si Jun Zi Tang |
title | Spectrum-Effect Relationship between UPLC Fingerprints and Antilung Cancer Effect of Si Jun Zi Tang |
title_full | Spectrum-Effect Relationship between UPLC Fingerprints and Antilung Cancer Effect of Si Jun Zi Tang |
title_fullStr | Spectrum-Effect Relationship between UPLC Fingerprints and Antilung Cancer Effect of Si Jun Zi Tang |
title_full_unstemmed | Spectrum-Effect Relationship between UPLC Fingerprints and Antilung Cancer Effect of Si Jun Zi Tang |
title_short | Spectrum-Effect Relationship between UPLC Fingerprints and Antilung Cancer Effect of Si Jun Zi Tang |
title_sort | spectrum-effect relationship between uplc fingerprints and antilung cancer effect of si jun zi tang |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6778903/ https://www.ncbi.nlm.nih.gov/pubmed/31662780 http://dx.doi.org/10.1155/2019/7282681 |
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