AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (3.7 MB)
Collect
AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Original Article | Open Access

Network pharmacology-based prediction and verification of the mechanism for Bushen Chengyun granule on low endometrial receptivity

Ling Huanga,1Tiegang Liua,1Mei JiangbChen BaiaJingnan XucShaoyang LiuaNing KangdGhulam MurtazaeHe YuaXiaohong Gua( )
School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 102488, China
School of Life Sciences, Beijing University of Chinese Medicine, Beijing, 102488, China
Department of Acupuncture and Minimally Invasive Oncology, Beijing University of Chinese Medicine Third Affiliated Hospital, Beijing, 100029, China
China Association of Chinese Medicine, Beijing, 100029, China
Department of Pharmacy, COMSATS Institute of Information Technology, Abbottabad, 22060, Pakistan

Peer review under responsibility of Beijing University of Chinese Medicine.

Show Author Information

Abstract

Objective

Bushen Chengyun granule (BCG) is an empirical treatment for female infertility (FI) caused by low endometrial receptivity (LER) involving a poorly understood mechanism. In this study, network pharmacology was used to explore the potential therapeutic mechanism of BCG on FI caused by LER.

Methods

The corresponding herb targets were obtained by conducting a search in the Traditional Chinese Medicine Systems Pharmacology Database and PubMed-reported literature. Disease targets were obtained from the following databases: Comparative Toxicogenomics Database, Human Phenotype Ontology, and Therapeutic Target Database. Treatments for LER using BCG have used target matching (BCG – LER target). Then, the predicted targets were uploaded to the Search Tool for the Retrieval of Interacting Genes/Proteins database for gene ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway analyses. Furthermore, triptorelin acetate for injection + menotrophin + chorionic gonadotropin for injection were used to establish a mouse model of blastocyst implantation disorder and to evaluate the in vivo effect of BCG on blastocyst implantation.

Results

Overall, 156 bioactive chemical components and 1092 targets of BCG were identified. The results indicated that 482 biological processes (FDR < 0.01) and 15 pathways (FDR < 0.01) related to BCG participated in the complex treatment effects and were associated with the endocrine system, inflammatory responses, metabolism, apoptosis, ovulatory performance, and angiogenesis. Moreover, 16 hub nodes of BCG including estrogen receptor (ESR1), estrogen receptor beta (ESR2), progesterone receptor, et al, were recognized as potential treatment targets and might help clarify the underlying therapeutic mechanisms of BCG for female infertility. BCG significantly increased the protein expressions of estrogen receptors and progesterone receptors.

Conclusions

These findings reveal the potential therapeutic mechanism of BCG for female infertility involves low endometrial receptivity, which should be evaluated further.

References

【1】
【1】
 
 
Journal of Traditional Chinese Medical Sciences
Pages 2-11

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Huang L, Liu T, Jiang M, et al. Network pharmacology-based prediction and verification of the mechanism for Bushen Chengyun granule on low endometrial receptivity. Journal of Traditional Chinese Medical Sciences, 2020, 7(1): 2-11. https://doi.org/10.1016/j.jtcms.2020.01.002

665

Views

15

Downloads

2

Crossref

2

Scopus

Received: 01 November 2019
Revised: 14 January 2020
Accepted: 14 January 2020
Published: 26 February 2020
© 2020 Beijing University of Chinese Medicine.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).