An Integrative Platform of TCM Network Pharmacology and Its Application on a Herbal Formula,<i>Qing-Luo-Yin</i>

Zhang, Bo; Wang, Xu; Li, Shao

doi:10.1155/2013/456747

Cited by 119 publications

(118 citation statements)

References 68 publications

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“…Our experimental results also demonstrated that nuciferine has a remarkable effect of inhibiting the progression of colorectal cancers and neuroblastomas, owing to its ability to reduce their viability and invasiveness. Finally, to understand the molecular mechanisms of nuciferine, we performed network target analysis [14,21] . According to the predicted results, we addressed the question of whether inhibition of AKT, PI3K or IL1B activities or expression might be associated with the antitumor activities of nuciferine.…”

Section: Introductionmentioning

confidence: 99%

Identification of the anti-tumor activity and mechanisms of nuciferine through a network pharmacology approach

et al. 2016

Acta Pharmacol Sin

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Aim: Nuciferine is an aporphine alkaloid extracted from lotus leaves, which is a raw material in Chinese medicinal herb for weight loss. In this study we used a network pharmacology approach to identify the anti-tumor activity of nuciferine and the underlying mechanisms. Methods: The pharmacological activities and mechanisms of nuciferine were identified through target profile prediction, clustering analysis and functional enrichment analysis using our traditional Chinese medicine (TCM) network pharmacology platform. The antitumor activity of nuciferine was validated by in vitro and in vivo experiments. The anti-tumor mechanisms of nuciferine were predicted through network target analysis and verified by in vitro experiments. Results: The nuciferine target profile was enriched with signaling pathways and biological functions, including "regulation of lipase activity", "response to nicotine" and "regulation of cell proliferation". Target profile clustering results suggested that nuciferine to exert anti-tumor effect. In experimental validation, nuciferine (0.8 mg/mL) markedly inhibited the viability of human neuroblastoma SY5Y cells and mouse colorectal cancer CT26 cells in vitro, and nuciferine (0.05 mg/mL) significantly suppressed the invasion of 6 cancer cell lines in vitro. Intraperitoneal injection of nuciferine (9.5 mg/mL, ip, 3 times a week for 3 weeks) significantly decreased the weight of SY5Y and CT26 tumor xenografts in nude mice. Network target analysis and experimental validation in SY5Y and CT26 cells showed that the anti-tumor effect of nuciferine was mediated through inhibiting the PI3K-AKT signaling pathway and IL-1 levels in SY5Y and CT26 cells. Conclusion: By using a TCM network pharmacology method, nuciferine is identified as an anti-tumor agent against human neuroblastoma and mouse colorectal cancer in vitro and in vivo, through inhibiting the PI3K-AKT signaling pathways and IL-1 levels.

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Section: Introductionmentioning

confidence: 99%

Identification of the anti-tumor activity and mechanisms of nuciferine through a network pharmacology approach

et al. 2016

Acta Pharmacol Sin

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“…By applying network pharmacology to TCM research, several modern Chinese medicine scholars successfully predicted the effective components of TCM chemical formulae. Zhang, et al [29] presented a-self-developed TCM network pharmacology platform to decipher the network regulation mechanism of qing-luo-yin and to identify active ingredients as well as to guide further experiments. Yang, et al [30] used 1743 Differentially Expressed Genes (DEGs), identified after treating a T2DM mice model with Xiao-Ke-An (XKA), to establish a T2D-specific compound-target-pathway network.…”

Section: Network Pharmacology Is Similar To Multicomponent Multi-targmentioning

confidence: 99%

Network Pharmacology and Traditional Chinese Medicine: Development of Anti-Diabetic Therapies

Lu¹,

Wang²,

Chen³

et al. 2017

Int J Diabetes Clin Res

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Partly due to the failure of single-target drugs, diabetes mellitus, a chronic metabolic disease with complex pathogenesis and long-term medication requirements, is increasing in prevalence worldwide and urgently needs multi-component and multi-target treatments. Traditional Chinese herbs are the principal drug of Chinese medicine, which is effective against diabetes. However, Chinese herbs' mechanism of action is difficult to elucidate due to its multiple components and multi-target effects. Based on the theories of systems biology and biological network equilibrium, network pharmacology could be applied to study disease mechanism and drug efficacy. This review postulates that network pharmacology may play a key role in revealing the anti-diabetic mechanism of Traditional Chinese Medicine (TCM) and will have potential effects on the modernization of TCM. KeywordsDiabetes mellitus, Network pharmacology, Multi-targets, Traditional Chinese Medicine Research and Development Dilemma for AntiDiabetes DrugsType 2 Diabetes Mellitus (T2DM), generally agreed to be caused by insulin resistance and/or insulin deficiency, constitutes almost 95 percent of all diabetes cases [4]. Because of the pathogenesis, the mainstream anti-diabetic drugs are insulin secretagogues (sulphonylureas and meglitinide analogues), insulin sensitizers (metformin) and drugs developed for new targets that regulate metabolism (GLP-4 agonists, DPP-4 receptor inhibitors, SGLT2 inhibitors and GPR119 agonists) [5][6][7][8][9].

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“…The four herbs in QLY work in concert to promote efficiency and reduce toxicity, as the jun, chen, zuo, and shi in Chinese, respectively. Specifically, the synergetic effect of Ku-Shen (jun herb) and Qing-FengTeng (chen herb) may come from the feedback loop and compensatory mechanisms [107].…”

Section: Computational Frameworkmentioning

confidence: 99%

Exploring the Ligand-Protein Networks in Traditional Chinese Medicine: Current Databases, Methods and Applications

Zhao

Wei

2014

Advances in Experimental Medicine and Biology

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The traditional Chinese medicine (TCM), which has thousands of years of clinical application among China and other Asian countries, is the pioneer of the "multicomponent-multitarget" and network pharmacology. Although there is no doubt of the efficacy, it is difficult to elucidate convincing underlying mechanism of TCM due to its complex composition and unclear pharmacology. The use of ligand-protein networks has been gaining significant value in the history of drug discovery while its application in TCM is still in its early stage. This paper firstly surveys TCM databases for virtual screening that have been greatly expanded in size and data diversity in recent years. On that basis, different screening methods and strategies for identifying active ingredients and targets of TCM are outlined based on the amount of network information available, both on sides of ligand bioactivity and the protein structures. Furthermore, applications of successful in silico target identification attempts are discussed in detail along with experiments in exploring the ligand-protein networks of TCM. Finally, it will be concluded that the prospective application of ligand-protein networks can be used not only to predict protein targets of a small molecule, but also to explore the mode of action of TCM.

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An Integrative Platform of TCM Network Pharmacology and Its Application on a Herbal Formula,Qing-Luo-Yin

Cited by 119 publications

References 68 publications

Identification of the anti-tumor activity and mechanisms of nuciferine through a network pharmacology approach

Identification of the anti-tumor activity and mechanisms of nuciferine through a network pharmacology approach

Network Pharmacology and Traditional Chinese Medicine: Development of Anti-Diabetic Therapies

Exploring the Ligand-Protein Networks in Traditional Chinese Medicine: Current Databases, Methods and Applications

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