Cui XY, Wu X, Lu D, Wang D. Network pharmacology-based strategy for predicting therapy targets of Sanqi and Huangjing in diabetes mellitus. World J Clin Cases 2022; 10(20): 6900-6914 [PMID: 36051114 DOI: 10.12998/wjcc.v10.i20.6900]
Corresponding Author of This Article
Dan Wang, PhD, Teacher, College of Human Kinesiology, Shenyang Sport University, No. 36 Jinqiansong East Road Sujiatun District, Shenyang 110102, Liaoning Province, China. 595680903@qq.com
Research Domain of This Article
Pharmacology & Pharmacy
Article-Type of This Article
Systematic Reviews
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Clin Cases. Jul 16, 2022; 10(20): 6900-6914 Published online Jul 16, 2022. doi: 10.12998/wjcc.v10.i20.6900
Network pharmacology-based strategy for predicting therapy targets of Sanqi and Huangjing in diabetes mellitus
Xiao-Yan Cui, Xiao Wu, Dan Lu, Dan Wang
Xiao-Yan Cui, Hebei Institute for Drug and Medical Device Control, Shijiazhuang 050011, Hebei Province, China
Xiao Wu, Department of Basic Medical, HE’s University, Shenyang 110163, Liaoning Province, China
Dan Lu, College of Clinical, HE’s University, Shenyang 110163, Liaoning Province, China
Dan Wang, College of Human Kinesiology, Shenyang Sport University, Shenyang 110102, Liaoning Province, China
Author contributions: Wang D and Lu D performed the writing and revising of the manuscript; Wu X and Cui XY contributed to the design of the work and performed overall supervision; Wang D wrote and revised the paper.
Supported bythe Central Government guides local S&T Program of Hebei Province, No. 216Z2501G; and Scientific Research Project of Hebei Provincial Market Supervision Administration, No. 2021YJ11.
Conflict-of-interest statement: The authors declare no conflict of interest, financial or otherwise.
PRISMA 2009 Checklist statement: The authors have read the PRISMA 2009 Checklist, and the manuscript was prepared and revised according to the PRISMA 2009 Checklist.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Dan Wang, PhD, Teacher, College of Human Kinesiology, Shenyang Sport University, No. 36 Jinqiansong East Road Sujiatun District, Shenyang 110102, Liaoning Province, China. 595680903@qq.com
Received: December 28, 2021 Peer-review started: December 28, 2021 First decision: January 23, 2022 Revised: February 2, 2022 Accepted: April 15, 2022 Article in press: April 15, 2022 Published online: July 16, 2022
Core Tip
Core Tip: Due to the unsatisfactory therapeutic effects of monotherapy, combination therapy has become a preferred choice for diabetic patients. Two specific herbs are often used together for the treatment of some diseases, which is called a herb pair. Hence, we investigated the combined effects of Sanqi and Huangjing (SQHJ) on diabetes and the underlying molecular mechanisms. Network pharmacology is a new discipline based on the theory of systems biology, which analyzes the network of biological systems and selects specific signal nodes for multitarget drug molecular design 16. Therefore, we used network pharmacology to reveal the pharmacological mechanism of SQHJ in the treatment of diabetes from the following three aspects: active components, potential targets, and synthetic pathways.
