Network pharmacology-based screening of the active ingredients and mechanisms of Huangqi against aging. Issue 17 (30th April 2021)

• Record Type: Journal Article
• Authors: Lan, Siyu; Duan, Jie; Zeng, Nan; Yu, Bin; Yang, Xuping; Ning, Hong; Huang, Yilan; Rao, Youyi
• Other Names: Sayil. Cigdem section editor.
• Is Part Of: Medicine. Volume 100:Issue 17(2021)
• Publication Date: 2021-04-30
• Subjects: active ingredients -- aging -- huangqi (HQ) -- network pharmacology; Medicine -- Periodicals; Medicine -- Periodicals; Médecine -- Périodiques; Geneeskunde; Medicine; Periodicals; Periodicals; 610.5
• DOI: 10.1097/MD.0000000000025660
• Languages: English
• ISSNs: 0025-7974

Abstract

Abstract : Abstract: Studies have shown that Huangqi (HQ) has anti-aging efficacy. However, its active ingredients and mechanisms for anti-aging are still unclear. In this study, we will systematically screen the active ingredients of HQ and explore the possible mechanism of HQ in prevention from aging through network pharmacology technology. The main active ingredients of HQ were obtained from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). The possible targets were predicted by TCMSP. The related targets for aging were obtained from GeneCards (The Human Gene Database) and Online Mendelian Inheritance in Man (OMIM) database. The common targets of HQ and aging were obtained using R 3.6.3 software. The protein–protein interaction (PPI) network and the ingredient-target-disease network were constructed using Cytoscape 3.7.2 software for visualization. In addition, the Gene Ontology (GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway annotation of potential targets were performed using R 3.6.3 software. Based on the screening conditions, 16 active ingredients and 28 drug targets were obtained. The PPI network contained 29 proteins, including PTGS2, AR, NOS2, and so on. GO functional enrichment analysis obtained 40 GO items ( P < .05). KEGG pathway enrichment analysis obtained 110 aging related pathways ( P < .05), including hypoxia inducible factor 1 signaling pathway, PI3K-Akt signaling pathway, AGE-RAGE signaling pathway in diabetic complication, among others. Sixteen effective ingredients of HQ and 28 targets against aging were identified through network pharmacology. Multiple pathways were involved in the effect of HQ on preventing aging.