scholarly journals Systematic Analysis of tRNA-Derived Small RNAs Reveals Novel Potential Therapeutic Targets of Traditional Chinese Medicine (Buyang-Huanwu-Decoction) on Intracerebral Hemorrhage

2019 ◽  
Vol 15 (4) ◽  
pp. 895-908 ◽  
Author(s):  
Pengfei Li ◽  
Tao Tang ◽  
Tao Liu ◽  
Jing Zhou ◽  
Hanjin Cui ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Intracerebral Hemorrhage ◽  
Small Rnas ◽  
Therapeutic Targets ◽  
Buyang Huanwu Decoction ◽  
Systematic Analysis

scholarly journals Advancing Drug Discovery and Development from Active Constituents of Yinchenhao Tang, a Famous Traditional Chinese Medicine Formula

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Aihua Zhang ◽  
Hui Sun ◽  
Shi Qiu ◽  
Xijun Wang
Keyword(s):  
Systems Biology ◽  
Drug Discovery ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Molecular Mechanisms ◽  
Synergistic Effects ◽  
Molecular Networks ◽  
Agile Development ◽  
Therapeutic Effects ◽  
Systematic Analysis

Traditional Chinese medicine (TCM) formula has been playing a very important role in health protection and disease control for thousands of years. Guided by TCM syndrome theories, formula are designed to contain a combination of various kinds of crude drugs that, when combined, will achieve synergistic efficacy. However, the precise mechanism of synergistic action remains poorly understood. One example is a famous TCM formula Yinchenhao Tang (YCHT), whose efficacy in treating hepatic injury (HI) and Jaundice syndrome, has recently been well established as a case study. We also conducted a systematic analysis of synergistic effects of the principal compound using biochemistry, pharmacokinetics and systems biology, to explore the key molecular mechanisms. We had found that the three component (6,7-dimethylesculetin (D), geniposide (G), and rhein (R)) combination exerts a more robust synergistic effect than any one or two of the three individual compounds by hitting multiple targets. They can regulate molecular networks through activating both intrinsic and extrinsic pathways to synergistically cause intensified therapeutic effects. This paper provides an overview of the recent and potential developments of chemical fingerprinting coupled with systems biology advancing drug discovery towards more agile development of targeted combination therapies for the YCHT.

scholarly journals A network pharmacology study on the Cervix Prescription for treatment of Cervical Cancer

2021 ◽  
Author(s):  
Pian Ying ◽  
Yingping Zhu
Keyword(s):  
Cervical Cancer ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Therapeutic Targets ◽  
Interaction Network ◽  
Research Direction ◽  
Network Pharmacology ◽  
Jiangxi Province ◽  
Signal Pathways ◽  
Active Ingredients

Abstract Purpose: Based on the method of network pharmacology to explore the mechanism of the Cervical Prescription(CP) in the treatment of cervical cancer(CC) . Methods: To obtain the active ingredients and potential targets of CP from the Traditional Chinese Medicine Systems Pharmacology database and analysis platform (TCMSP) ; To search for targets related to cervical cancer through the database, and map the CP and the targets; Screen the core Targets, a Chinese medicine compoundtarget network and STRING database was used to construct a protein-protein interaction network (PPI). The DAVID 6.8 online tool was used to perform gene ontology (GO) and kyoto encyclopedia of genes and genome (KEGG) pathway enrichment analyses of overlapping targets. Results: The CP contains 2 active ingredients, corresponding to 301 non-reactive targets; 10 GO biological process related items and 73 signal pathways were obtained. Conclusion: By constructing a network diagram of "components-targets-pathways", 1Project fund: Zhejiang Provincial Natural Science Foundation Project(CN) (LQ20H270016); Zhejiang Traditional Chinese Medicine Administration (CN) (2020ZB087). *Profile of the author: Zhu Yingping, (1987-), female, attending physician, from Ganzhou, Jiangxi Province, master's degree student, research direction: Chinese medicine prevention and treatment of gynecological malignancies; E-mail: [email protected] this study revealed that CP can exert its efficacy through multiple components, multiple targets, and multiple pathways to achieve the purpose of preventing and treating CC.The network pharmacology-based approach in the present study showed promising potential for identifying the main therapeutic targets from TCM formulas. This study provides valuable information for TCM researchers and clinicians to better understand the main therapeutic targets and therapeutic roles of herbal decoctions in clinical settings.

scholarly journals Network pharmacology evaluation of the active ingredients and potential targets of XiaoLuoWan for application to uterine fibroids

2020 ◽  
Vol 40 (12) ◽  
Author(s):  
Yonghui Yu ◽  
Fang Yang ◽  
Hong Liu
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Calcium Signaling ◽  
Signaling Pathway ◽  
Uterine Fibroids ◽  
Therapeutic Targets ◽  
Network Pharmacology ◽  
Therapeutic Effects ◽  
Active Ingredients ◽  
Calcium Signaling Pathway

Abstract XiaoLuoWan (XLW) is a classical formula in traditional Chinese medicine (TCM) that has satisfactory therapeutic effects for uterine fibroids (UFs). However, its underlying mechanisms remain unclear. To elucidate the pharmacological actions of XLW in treating UFs, an ingredient–target–disease framework was proposed based on network pharmacology strategies. The active ingredients in XLW and their putative targets were obtained from the TCM systems pharmacology database and analysis platform (TCMSP) and Bioinformatics Analysis Tool for Molecular mechANism of Traditional Chinese Medicine (BATMAN-TCM) platforms. The known therapeutic targets of UFs were acquired from the DigSee and DrugBank databases. Then, the links between putative XLW targets and therapeutic UF targets were identified to establish interaction networks by Cytoscape. Finally, Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses of overlapping gene targets were performed in the STRING database and visualized in R software. In total, 9 active compounds were obtained from 74 ingredients, with 71 curative targets predicted in XLW. Moreover, 321 known therapeutic targets were closely related to UFs, with 29 targets overlapping with XLW and considered interacting genes. Pathway enrichment revealed that the calcium signaling pathway was significantly enriched and the mitogen-activated protein kinase (MAPK) signaling pathway, cAMP signaling pathway, cancer and vascular smooth muscle contraction pathways, cGMP-PKG signaling pathway, and AGE-RAGE signaling pathway were closely associated with XLW intervention for UFs. In conclusion, the network pharmacology detection identified 9 available chemicals as the active ingredients in XLW that may relieve UFs by regulating 29 target genes involved in the calcium signaling pathway, MAPK pathway and cAMP pathway. Network pharmacology analyses may provide more convincing evidence for the investigation of classical TCM prescriptions, such as XLW.

scholarly journals Therapeutic targets of Traditional Chinese Medicine for colorectal cancer

2016 ◽  
Vol 36 (2) ◽  
pp. 243-249 ◽  
Author(s):  
Li Weidong ◽  
Li Chunsheng ◽  
Zheng Honggang ◽  
Chen Guohong ◽  
Hua Baojin
Keyword(s):  
Colorectal Cancer ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Therapeutic Targets
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