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Synergistic Effect of Network-Based Multicomponent Drugs: An Investigation on the Treatment of Non-Small-Cell Lung Cancer with Compound Liuju Formula

Lung cancer is the most common cause of cancer death with high morbidity and mortality, which non-small-cell lung cancer (NSCLC) accounting for the majority. Traditional Chinese Medicine (TCM) is effective in the treatment of complex diseases, especially cancer. However, TCM is still in the conceptu...

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Autores principales: Su, Xing, Jiang, Meng, Li, Yueping, Zhu, Jinglin, Zheng, Chunli, Chen, Xuetong, Zhou, Jun, Xiao, Wei, Wang, Yonghua, Li, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6948348/
https://www.ncbi.nlm.nih.gov/pubmed/31949474
http://dx.doi.org/10.1155/2019/9854047
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author Su, Xing
Jiang, Meng
Li, Yueping
Zhu, Jinglin
Zheng, Chunli
Chen, Xuetong
Zhou, Jun
Xiao, Wei
Wang, Yonghua
Li, Yan
author_facet Su, Xing
Jiang, Meng
Li, Yueping
Zhu, Jinglin
Zheng, Chunli
Chen, Xuetong
Zhou, Jun
Xiao, Wei
Wang, Yonghua
Li, Yan
author_sort Su, Xing
collection PubMed
description Lung cancer is the most common cause of cancer death with high morbidity and mortality, which non-small-cell lung cancer (NSCLC) accounting for the majority. Traditional Chinese Medicine (TCM) is effective in the treatment of complex diseases, especially cancer. However, TCM is still in the conceptual stage. The interaction between different components remains unknown due to its multicomponent and multitarget characteristics. In this study, compound Liuju formula was taken as an example to isolate compounds with synergistic biological activity through systems pharmacology strategy. Through pharmacokinetic evaluation, 37 potentially active compounds were screened out. Meanwhile, 116 targets of these compounds were obtained by combing with the target prediction model. Through network analysis, we found that multicomponent drugs can present a synergistic effect through regulating inflammatory signaling pathway, invasion pathway, proliferation, and apoptosis pathway. Finally, it was confirmed that the bioactive compounds of compound Liuju formula have not only a killing effect on NSCLC tumor cells but also a synergistic effect on inhibiting the secretion of correlative inflammatory mediators, including TNF-α and IL-1β. The systems pharmacology method was applied in this study, which provides a new direction for analyzing the mechanism of TCM.
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spelling pubmed-69483482020-01-16 Synergistic Effect of Network-Based Multicomponent Drugs: An Investigation on the Treatment of Non-Small-Cell Lung Cancer with Compound Liuju Formula Su, Xing Jiang, Meng Li, Yueping Zhu, Jinglin Zheng, Chunli Chen, Xuetong Zhou, Jun Xiao, Wei Wang, Yonghua Li, Yan Evid Based Complement Alternat Med Research Article Lung cancer is the most common cause of cancer death with high morbidity and mortality, which non-small-cell lung cancer (NSCLC) accounting for the majority. Traditional Chinese Medicine (TCM) is effective in the treatment of complex diseases, especially cancer. However, TCM is still in the conceptual stage. The interaction between different components remains unknown due to its multicomponent and multitarget characteristics. In this study, compound Liuju formula was taken as an example to isolate compounds with synergistic biological activity through systems pharmacology strategy. Through pharmacokinetic evaluation, 37 potentially active compounds were screened out. Meanwhile, 116 targets of these compounds were obtained by combing with the target prediction model. Through network analysis, we found that multicomponent drugs can present a synergistic effect through regulating inflammatory signaling pathway, invasion pathway, proliferation, and apoptosis pathway. Finally, it was confirmed that the bioactive compounds of compound Liuju formula have not only a killing effect on NSCLC tumor cells but also a synergistic effect on inhibiting the secretion of correlative inflammatory mediators, including TNF-α and IL-1β. The systems pharmacology method was applied in this study, which provides a new direction for analyzing the mechanism of TCM. Hindawi 2019-12-26 /pmc/articles/PMC6948348/ /pubmed/31949474 http://dx.doi.org/10.1155/2019/9854047 Text en Copyright © 2019 Xing Su 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
Su, Xing
Jiang, Meng
Li, Yueping
Zhu, Jinglin
Zheng, Chunli
Chen, Xuetong
Zhou, Jun
Xiao, Wei
Wang, Yonghua
Li, Yan
Synergistic Effect of Network-Based Multicomponent Drugs: An Investigation on the Treatment of Non-Small-Cell Lung Cancer with Compound Liuju Formula
title Synergistic Effect of Network-Based Multicomponent Drugs: An Investigation on the Treatment of Non-Small-Cell Lung Cancer with Compound Liuju Formula
title_full Synergistic Effect of Network-Based Multicomponent Drugs: An Investigation on the Treatment of Non-Small-Cell Lung Cancer with Compound Liuju Formula
title_fullStr Synergistic Effect of Network-Based Multicomponent Drugs: An Investigation on the Treatment of Non-Small-Cell Lung Cancer with Compound Liuju Formula
title_full_unstemmed Synergistic Effect of Network-Based Multicomponent Drugs: An Investigation on the Treatment of Non-Small-Cell Lung Cancer with Compound Liuju Formula
title_short Synergistic Effect of Network-Based Multicomponent Drugs: An Investigation on the Treatment of Non-Small-Cell Lung Cancer with Compound Liuju Formula
title_sort synergistic effect of network-based multicomponent drugs: an investigation on the treatment of non-small-cell lung cancer with compound liuju formula
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6948348/
https://www.ncbi.nlm.nih.gov/pubmed/31949474
http://dx.doi.org/10.1155/2019/9854047
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