Tropical Journal of Pharmaceutical Research

Original Research Article | OPEN ACCESS

Network pharmacology and GEO chip-based elucidation of mechanisms underlying the use of Yi Tieqing for prevention and treatment of postoperative nausea and vomiting

Shining Xun¹, Mingna Jiao¹, Jia Li², Xiaqing Zhang¹, Afen Zhang¹, Huali He¹, Junbo Zou², Chongzhen Duan¹ , Xiaofei Zhang²

¹First Department of Anesthesiology and Surgery, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang City, Shaanxi Province 712046, China; ²Pharmacy College, Shaanxi University of Chinese Medicine, Xianyang City, Shaanxi Province 712046, China.

For correspondence:- Chongzhen Duan Email: 1695012120@qq.com Tel:+13020758970

Accepted: 29 July 2022 Published: 28 August 2022

Citation: Xun S, Jiao M, Li J, Zhang X, Zhang A, He H, et al. Network pharmacology and GEO chip-based elucidation of mechanisms underlying the use of Yi Tieqing for prevention and treatment of postoperative nausea and vomiting. Trop J Pharm Res 2022; 21(8):1675-1682 doi: 10.4314/tjpr.v21i8.14

© 2022 The authors.
This is an Open Access article that uses a funding model which does not charge readers or their institutions for access and distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0) and the Budapest Open Access Initiative (http://www.budapestopenaccessinitiative.org/read), which permit unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited..

Abstract

Purpose: To investigate the mechanism(s) involved in the use of Yi Tieqing for the prevention and treatment of postoperative nausea and vomiting (PONV), using network pharmacology and GEO chip.

Methods: The chemical constituents and functional targets of five traditional Chinese medicines in Yi Tieqing were obtained by searching TCMSP database. The PONV disease targets were identified through DisGeNET, GeneCards and DrugBank databases, and differential expression genes of the GEO database chip (GSE7762) were mined. From the intersections of the component targets and disease targets, the core targets of drugs and diseases were obtained. The core targets were investigated in R language using GO-biological process and KEGG enrichment analyses, and their biological activities were verified via molecular docking. Finally, the severity and incidence of PONV in control and treatment groups were determined and compared.

Results: A total of 254 bioactive components and 301 related potential targets were obtained from the TCMSP database. There were 2092 related targets in PONV, and 6 intersecting targets were obtained from Venn diagram. The results of GO biological process and KEGG enrichment analysis showed that the incidence of PONV was strongly correlated with the negative regulation of response to wounding and nervous system. Clinical results showed that from 24 – 48 h (T2) after operation, the severity and incidence of PONV in the treatment group were significantly lower than those in the control group (p < 0.05).

Conclusion: Yi Tieqing alleviates PONV through multi-components, multi-targets, and multi-pathways.

Keywords: Network pharmacology, Patch, PONV