scholarly journals Corrigendum to “Network Pharmacology-Based Strategy for Predicting Active Ingredients and Potential Targets of Coptis chinensis Franchin Polycystic Ovary Syndrome”

2021 ◽  
Vol 2021 ◽  
pp. 1-1
Author(s):  
Jian Xiong Ma ◽  
Miaoyong Ye ◽  
Ke Ma ◽  
Kang Zhou ◽  
Yingying Zhang ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Network Pharmacology ◽  
Active Ingredients ◽  
Coptis Chinensis ◽  
Ovary Syndrome

scholarly journals Network Pharmacology-Based Strategy for Predicting Active Ingredients and Potential Targets of Coptis chinensis Franchin Polycystic Ovary Syndrome

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Jian Xiong Ma ◽  
Miaoyong Ye ◽  
Ke Ma ◽  
Kang Zhou ◽  
Yingying Zhang ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Polycystic Ovary Syndrome ◽  
Signaling Pathways ◽  
Polycystic Ovary ◽  
Interaction Network ◽  
Network Pharmacology ◽  
Bioactive Components ◽  
Coptis Chinensis ◽  
Ovary Syndrome

Background. Polycystic ovary syndrome (PCOS) causes low fertility in females. Coptis chinensis (C. chinensis) is used to clear heat and dampness, purify fire, and detoxify in traditional Chinese medicine (TCM). Although C. chinensis has demonstrated efficacy against PCOS in clinical practice, there are no available data regarding the bioactive components of C. chinensis, their targets, and molecular mechanisms underlying their effects. Methods and Results. Network pharmacology was used to analyze the bioactive components of C. chinensis, their targets, and signaling pathways underlying their effects. The TCM systems pharmacology database and analysis platform (TCMSP) was used to screen 14 effective active ingredients and 218 targets of C. chinensis. The GeneCards, OMIM, and PharmGkb databases were used to screen 3517 disease targets for PCOS, and 102 common targets of drugs and diseases were screened using R Cytoscape that was utilized to build a drug-active ingredient-disease target interaction network, and the STRING platform was utilized to construct a common target protein-protein interaction network, including 102 nodes and 221 edges. Key targets of C. chinensis for the treatment of PCOS included JUN, MAPK, IL6, CXCL8, FOS, and IL1B. A total of 123 gene ontology (GO) terms and 129 pathways were acquired by GO and KEGG enrichment analyses. The AGEs/RAGE, TNF, IL-17, MAPK, and HIF-1 signaling pathways were closely related to PCOS and may be the core pathways involved in PCOS. Schrodinger software was used to evaluate the interaction between active components and their targets and explore binding modes. Furthermore, based on the prediction of network pharmacology study, a mouse model of PCOS was established to evaluate the curative role and underlying mechanisms of C. chinensis. The results showed that C. chinensis treatment reversed histopathological damage of the ovary and also ameliorated the mRNA and protein expression levels of the predicted hub targets (MAPK1, CXCL8, IL-6, and IL-1β). These results indicated that WZYZP has a protective effect on spermatogenesis disorder, suggesting that it could be an alternative choice for male infertility therapy. Conclusions. This preliminary study verified the basic pharmacological effects and mechanisms of C. chinensis, a TCM, in the treatment of PCOS. These results indicate that the therapeutic effects of C. chinensis on PCOS may be achieved by regulating the expression of inflammatory factors. This study provides new insights for the systematic exploration of the mechanism of traditional Chinese medicine.

scholarly journals Network Pharmacology-based Strategy for Predicting Active Ingredients and Potential Targets of Coptis Chinensis Franch in Polycystic Ovary Syndrome

2020 ◽  
Author(s):  
Jianxiong Ma ◽  
Miaoyong Ye ◽  
Ke Ma ◽  
Kang Zhou ◽  
YingYing Zhang ◽  
...  
Keyword(s):  
Gene Ontology ◽  
Chinese Medicine ◽  
Polycystic Ovary ◽  
Interaction Network ◽  
Network Pharmacology ◽  
Active Ingredients ◽  
Coptis Chinensis ◽  
Ovary Syndrome ◽  
R Language ◽  
Bioactive Ingredients

Abstract Background: Polycystic ovary syndrome (PCOS) is a disease that causes low fertility in females. Coptis chinensis (CC) has been used to clear away heat and dampness, purify fire, and detoxify in traditional Chinese medicine (TCM). Although CC has demonstrated efficacy against PCOS in clinical practice, there is no available data regarding the bioactive ingredients, component targets, and confirmed molecular mechanism of this drug combination.Methods: A network pharmacology approach was applied to analyze the bioactive ingredients, component targets, and core signaling pathways of CC. The TCM systems pharmacology database and analysis platform (TCMSP) was used to screen effective active ingredients and targets of CC. The GeneCards, OMIM, and PharmGkb databases was utilized to screen disease targets for PCOS. R language software was used to screen common targets of drugs and diseases. Cytoscape software (version 3.7.1) was utilized to build a drug-active ingredient-disease target interaction network, and the STRING platform was utilized to construct a common target protein-protein interaction network, including 102 nodes and 221 edges. OmicShare tools was used to analysis Gene ontology (GO) biological function analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) path enrichment. Schrodinger software was used to evaluate the interaction between active components and their targets and explore binding modes.Results: 14 effective active ingredients and 218 targets of CC were screened by TCMSP platform. 3517 disease targets for PCOS were obtianed by the disease database and 102 common targets of drugs and diseases were screened through R language software. Key targets of CC for the treatment of PCOS included JUN, MAPK, IL-6, CXCL8, FOS, and IL1B. A total of 123 Gene Ontology (GO) terms and 129 pathways were acquired by analyzing the enrichment of GO and KEGG. It is speculated that the AGEs/RAGE, TNF, IL-17, MAPK and HIF-1 signaling pathways are closely related to PCOS and may be the core pathways involved in PCOS. The molecular docking results showed that quercetin has a higher degree of binding to core targets (eg: IL-6, IL- 1β, MAPK, CXCL8) related to the inflammatory pathway.Conclusions: This preliminary study verified the basic pharmacological effects and mechanisms of CC, a Chinese medicine, in the treatment of PCOS. Particularly, the effect of CC on inflammation and glucose metabolism pathway was noteworthy. This study provides new insights for the systematic exploration of the mechanism of action of Chinese medicine.

Pharmacological mechanism of Xiaoyao San in the treatment of polycystic ovary syndrome based on network pharmacology

2020 ◽  
Author(s):  
Chunyu Zhu ◽  
Yajun Hu ◽  
Wangdong Zheng ◽  
Yanyan Zhang ◽  
Yiting Li ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Drug Targets ◽  
Polycystic Ovary ◽  
Enrichment Analysis ◽  
Network Pharmacology ◽  
Pathway Enrichment Analysis ◽  
Active Components ◽  
Ovary Syndrome ◽  
Pharmacological Mechanism ◽  
R Project

Abstract Background : Xiaoyao San(XYS) has been widely used in the treatment of polycystic ovary syndrome(PCOS), but its mechanism is not clear. The purpose of this study is to elucidate the mechanism of XYS in the treatment of PCOS from the aspects of active components, targets and pathways. The purpose of the study is to explore the molecular mechanism of XYS in the treatment of PCOS. Methods : TCMSP database, UniProt and Perl were used to screen and collect the active components and targets of XYS. The genes related to PCOS were searched in GeneCards database. Collect the related targets of PCOS and XYS, use STRING database and Cytoscape software to process the data visually and analyze topology, and screen the key components and targets in the network. The key targets were enriched by R Project to predict the mechanism of XYS in the treatment of PCOS. Results : 68 active components and 96 drug targets in XYS were screened out. 3648 PCOS related disease targets were collected. 66 targets of XYS for PCOS treatment were obtained after analysis. 21 key targets of NCOA2, PGR, PTGS1, PPARG and AR were constructed after topology analysis. 63 biological functions and 111 biological pathways were obtained after gene ontology(GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG) Pathway enrichment analysis. Conclusions : XYS has the characteristics of multi-component, multi-target and multi-path. This study discussed the active components, targets and potential mechanism of XYS in the treatment of PCOS, which provided a new direction for further study of the mechanism of XYS in the treatment of PCOS, and provides more ideas for clinical treatment of PCOS.

scholarly journals Investigation of the Mechanism of Zishen Yutai Pills on Polycystic Ovary Syndrome: A Network Pharmacology and Molecular Docking Approach

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Yingyin Chen ◽  
Xinyi Chai ◽  
Ying Zhao ◽  
Xinqian Yang ◽  
Caiting Zhong ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Polycystic Ovary Syndrome ◽  
Target Genes ◽  
Polycystic Ovary ◽  
Network Pharmacology ◽  
Analysis Tool ◽  
Ovary Syndrome

Background. Zishen Yutai Pills (ZSYTP) is a prescription based on traditional Chinese medicine used to treat kidney-deficient pattern in traditional Chinese medicine. It is also widely used clinically for the treatment of polycystic ovary syndrome (PCOS) with positive results. This study aims to explore the potential pharmacological mechanism of ZSYTP for the treatment of PCOS by a network pharmacology approach. Methods. Compounds were collected from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform and Bioinformatics Analysis Tool for Molecular mechanism of Traditional Chinese Medicine and TCM Database@ Taiwan, and the corresponding targets were retrieved from PubChem, Swiss Target Prediction, STITCH, and DrugBank. Meanwhile, PCOS targets were retrieved from the GeneCards database, the Online Mendelian Inheritance in Man database, National Center for Biotechnology Information Database, and DrugBank. Subsequently, multiple network construction and gene enrichment analyses were conducted with Cytoscape 3.8.2 software. Based on the previous results in the study, molecular docking simulations were done. Results. 205 active compounds and 478 ZSYTP target genes were obtained after screening by ADME consideration. 1881 disease-related targets were obtained after removing duplicates. 148 intersection target genes between drug and disease targets were isolated. Gene ontology enrichment analysis and Kyoto Encyclopedia of Genes and Genomes analysis highlighted multiple gene functions and different signaling pathways to treat PCOS. Further molecular docking demonstrated the practicality of in vivo action of ZSYTP to a certain extent. Conclusions. It is possible that the pharmacological effect of ZSYTP on PCOS is linked to the hypoxia-inducible factor 1 (HIF-1) signaling pathway, improving insulin resistance, the variation on gene expression such as RNA splicing, and regulation of mRNA metabolic process. This study paves the way for further research investigating its mechanisms.

scholarly journals A Network Pharmacology Analysis of Cang Fu Dao Tan Formula for the Treatment of Obese Polycystic Ovary Syndrome

2020 ◽  
Vol 3 (3) ◽  
pp. 148-162
Author(s):  
C.A.I. Meng-Cheng ◽  
J.I.N. Yong-Sheng ◽  
Y.U. Chao-Qin ◽  
Cheng Wen
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Network Pharmacology ◽  
Ovary Syndrome

scholarly journals A network pharmacology approach to explore the mechanisms of Erxian decoction in polycystic ovary syndrome

2018 ◽  
Vol 13 (1) ◽  
Author(s):  
Lihong Liu ◽  
Bo Du ◽  
Haiying Zhang ◽  
Xiaofei Guo ◽  
Zheng Zhou ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Network Pharmacology ◽  
Ovary Syndrome ◽  
Erxian Decoction
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