A Network Pharmacology Approach to Uncover the Potential Mechanism of Yinchensini Decoction

Chen, Guo-Ming; Huang, Chuyao; Liu, Yunyun; Chen, Tengyu; Huang, Ru; Liang, Miaozhen; Zhang, Jie; Xu, Haowen

doi:10.1155/2018/2178610

Cited by 38 publications

(22 citation statements)

References 33 publications

(30 reference statements)

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“…Although significant advances have been made in BC therapy with the advent of targeted therapies and immunotherapy, only a minority of patients benefit from the treatment and patient outcomes remain poor [ 3 ]. As a valuable alternative medicine, TCM has been associated with rich theoretical resources and invaluable experience that can be applied in clinical cancer therapy, and it has served as a vital resource for the development of multi-target drugs [ 19 ]. S. nigrum has been used to treat BC effectively [ 11 ].…”

Section: Discussionmentioning

confidence: 99%

“…PPI network analysis revealed that the degree value of IL-6 was the highest, implying its role as a hub. The pro-inflammatory cytokine IL-6 has been established as one of the most biologically active cytokines with multiple biological functions [ 19 ]. Numerous studies have demonstrated that the aberrant expression of IL-6 and its receptor correlates with malignant phenotypes of multiple tumors, as well as the diagnosis, prognosis, and treatment of cancer [ 59 ].…”

Section: Discussionmentioning

confidence: 99%

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A network pharmacology perspective for deciphering potential mechanisms of action of Solanum nigrum L. in bladder cancer

Dong

Hao

Fang

et al. 2021

BMC Complement Med Ther

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Background Solanum nigrum L. decoction has been used as a folklore medicine in China to prevent the postoperative recurrence of bladder cancer (BC). However, there are no previous pharmacological studies on the protective mechanisms of this activity of the plant. Thus, this study aimed to perform a systematic analysis and to predict the potential action mechanisms underlying S. nigrum activity in BC based on network pharmacology. Methods Based on network pharmacology, the active ingredients of S. nigrum and the corresponding targets were identified using the Traditional Chinese Medicines for Systems Pharmacology Database and Analysis Platform database, and BC-related genes were screened using GeneCards and the Online Mendelian Inheritance in Man database. In addition, ingredient-target (I–T) and protein–protein interaction (PPI) networks were constructed using STRING and Cytoscape, Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted, and then the pathways directly related to BC were integrated manually to reveal the pharmacological mechanism underlying S. nigrum-medicated therapeutic effects in BC. Results Seven active herbal ingredients from 39 components of S. nigrum were identified, which shared 77 common target genes related to BC. I-T network analysis revealed that quercetin was associated with all targets and that NCOA2 was targeted by four ingredients. Besides, interleukin 6 had the highest degree value in the PPI network, indicating a hub role. A subsequent gene enrichment analysis yielded 86 significant GO terms and 89 significant pathways, implying that S. nigrum had therapeutic benefits in BC through multi-pathway effects, including the HIF-1, TNF, P53, MAPK, PI3K/Akt, apoptosis and bladder cancer pathway. Conclusions S. nigrum may mediate pharmacological effects in BC through multi-target and various signaling pathways. Further validation is required experimentally. Network pharmacology approach provides a predicative novel strategy to reveal the holistic mechanism of action of herbs.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

A network pharmacology perspective for deciphering potential mechanisms of action of Solanum nigrum L. in bladder cancer

Dong

Hao

Fang

et al. 2021

BMC Complement Med Ther

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“…Chen et al predicted the potential mechanism of Yinchensini decoction based on systemic pharmacology by using TCMSP database. We followed the methods of Chen et al [ 18 ]. From the TCMSP database, geniposide, gardenoside, geniposidic acid, genipin 1-gentiobioside, gardoside, and shanzhiside in Fructus Gardeniae from Jiangxi province are retrieved.…”

Section: Methodsmentioning

confidence: 99%

Study on Mechanism of Iridoid Glycosides Derivatives from Fructus Gardeniae in Jiangxi Province by Network Pharmacology

Liu

et al. 2020

Evidence-Based Complementary and Alternative Medicine

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Objective. To investigate the pharmacological mechanism of the iridoid glycosides from Fructus Gardeniae in Jiangxi province by network pharmacology. To provide a valuable research strategy for the rational use and in-depth research and development of Fructus Gardeniae from Jiangxi. Method. Previous research results of our group show that the contents of iridoid glycosides in Fructus Gardeniae from Jiangxi province have a significant difference compared with other regions (P<0.05). Based on our previous experimental results, this study selected six characteristic high-content bioactive iridoid glycosides components of Fructus Gardeniae from Jiangxi province as candidate components. TCMSP database was used to obtain the process parameters of absorption, distribution, metabolism, and excretion (ADME) of candidate components. PubChem and SWISS online database were used to predict the related targets. Cytoscape software was used to the construct compound-target-disease (C-T-D) network of the Fructus Gardeniae iridoid glycosides ingredients. Furthermore, the GO biological process analysis and the pathway enrichment analysis were carried out using the CTD online analysis platform; then, an illustrated network that contains the main “chemicals-targets-pathway (C-T-P)” was constructed to analyze main biological pathways for obtaining the deep mechanism of Fructus Gardeniae in Jiangxi. Results. 6 iridoid glycosides, namely geniposide, gardenoside, geniposidic acid, genipin 1-gentiobioside, gardoside, and shanzhiside, from Fructus Gardeniae in Jiangxi province were obtained as candidate components through previous work and network pharmacology screening. 36 corresponding targets were acted, such as BCL2, MAPT, F2, BCL2L1, PRKCD, PRKCB, HIF1A, and PRKCA. These targets could joint in pathways, such as signaling by GPCR, neuroactive ligand-receptor interaction, inflammatory mediator regulation of TRP channels, and ion channel transport. Interestingly, these pathways were highly associated with liver diseases, neurological diseases, hypertension, neoplasms, hyperalgesia, and inflammation. Remarkably, we boldly speculate that the Fructus Gardeniae from Jiangxi province can play a pharmacological role in hepatic encephalopathy through regulating multiple signaling pathways in an integrated manner. Conclusion. The method based on system pharmacology could help to find the key targets of characteristic high-content chemical constituents of herb from different producing areas, the signaling pathway and disease network of TCM, and provide useful information and data support for giving a further study on traditional Chinese medicine resources in different regions of China.

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“…YGL is clinically used in combination with antiviral drugs to treat HB and can improve the rate of negative conversion. However, due to limitations in research techniques and economic considerations, research into the pharmacodynamics of traditional Chinese medicines (TCM) has been primarily focused on single targets or a few pathways [5,6]. It is difficult to reveal the synergy between multi-component and multiple targets in disease treatment.…”

Section: Introductionmentioning

confidence: 99%

Network pharmacology-based study on the mechanism of Yiganling capsule in hepatitis B treatment

Lü

Zhou

et al. 2020

BMC Complement Med Ther

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Background: Yiganling (YGL) capsule is a traditional Chinese medicine preparation consisting of eight herbs that has been clinically proven to have a favorable treatment effect on Hepatitis B (HB). However, due to its multiple targets and multi-pharmacological effects, the mechanisms of YGL capsule in the treatment of HB are unknown. Methods: First, the chemical constituents of YGL capsules were obtained from the Chinese medicine database, and YGL capsules were constructed. Second, active compounds were screened by the ADME model. The target fishing model was used to screen the corresponding targets of active compounds and to construct a compounds and compound targets network. Using human disease databases and literature mining, we systematically identified genes associated with HB, constructed disease-specific protein-protein interaction networks, and performed clustering and enrichment analyses of these networks. These networks were then merged to obtain a compounddisease target network, and cluster and enrichment analyses were performed on the compound-disease target network to acquire a compounds-disease targets-mechanism network and a clustering network. Results: We successfully built eight pharmacological network diagrams, including four primary networks and other network maps. The four dominating network maps included a HB disease-associated protein-protein interaction network, a YGL capsule compounds-target network, a YGL capsule ingredient target-HB disease target network, and a YGL-HB disease mechanism network. Other networks included a pathway of HB disease targets, the HB disease protein-protein interaction cluster analysis network, and the YGL-HB target clustering network. Conclusion: This study successfully forecasted, illuminated, and confirmed the synergistic effects of HB disease molecules and discovered the potential of HB relevant targets, clusters, and target-related biological processes and signaling pathways. Our research not only provides theoretical support for the molecular and pharmacological mechanisms of YGL capsule in HB treatment, but also provides new research methods for the study of the other traditional Chinese medicinal compounds.

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A Network Pharmacology Approach to Uncover the Potential Mechanism of Yinchensini Decoction

Cited by 38 publications

References 33 publications

A network pharmacology perspective for deciphering potential mechanisms of action of Solanum nigrum L. in bladder cancer

A network pharmacology perspective for deciphering potential mechanisms of action of Solanum nigrum L. in bladder cancer

Study on Mechanism of Iridoid Glycosides Derivatives from Fructus Gardeniae in Jiangxi Province by Network Pharmacology

Network pharmacology-based study on the mechanism of Yiganling capsule in hepatitis B treatment

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