Cargando…
Network Pharmacology-Based Identification of the Mechanisms of Shen-Qi Compound Formula in Treating Diabetes Mellitus
AIM: The purpose of this research is to identify the mechanisms of Shen-Qi compound formula (SQC), a traditional Chinese medicine (TCM), for treating diabetes mellitus (DM) using system pharmacology. METHODS: The active components and therapeutic targets were identified, and these targets were analy...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7292981/ https://www.ncbi.nlm.nih.gov/pubmed/32595730 http://dx.doi.org/10.1155/2020/5798764 |
_version_ | 1783546206382718976 |
---|---|
author | Hu, Zhipeng Yang, Maoyi Yang, Liangjun Xie, Chunguang Gao, Hong Fu, Xiaoxu Xie, Hongyan Liu, Ya |
author_facet | Hu, Zhipeng Yang, Maoyi Yang, Liangjun Xie, Chunguang Gao, Hong Fu, Xiaoxu Xie, Hongyan Liu, Ya |
author_sort | Hu, Zhipeng |
collection | PubMed |
description | AIM: The purpose of this research is to identify the mechanisms of Shen-Qi compound formula (SQC), a traditional Chinese medicine (TCM), for treating diabetes mellitus (DM) using system pharmacology. METHODS: The active components and therapeutic targets were identified, and these targets were analyzed using gene ontology (GO) enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, and protein-protein interaction (PPI) analysis. Finally, an integrated pathway was constructed to show the mechanisms of SQC. RESULTS: A total of 282 active components and 195 targets were identified through a database search. The component-target network was constructed, and the key components were screened out according to their degree. Through the GO, PPI, and KEGG analyses, the mechanism network of SQC treating DM was constructed. CONCLUSIONS: This study shows that the mechanisms of SQC treating DM are related to various pathways and targets. This study provides a good foundation and basis for further in-depth verification and clinical application. |
format | Online Article Text |
id | pubmed-7292981 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-72929812020-06-25 Network Pharmacology-Based Identification of the Mechanisms of Shen-Qi Compound Formula in Treating Diabetes Mellitus Hu, Zhipeng Yang, Maoyi Yang, Liangjun Xie, Chunguang Gao, Hong Fu, Xiaoxu Xie, Hongyan Liu, Ya Evid Based Complement Alternat Med Research Article AIM: The purpose of this research is to identify the mechanisms of Shen-Qi compound formula (SQC), a traditional Chinese medicine (TCM), for treating diabetes mellitus (DM) using system pharmacology. METHODS: The active components and therapeutic targets were identified, and these targets were analyzed using gene ontology (GO) enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, and protein-protein interaction (PPI) analysis. Finally, an integrated pathway was constructed to show the mechanisms of SQC. RESULTS: A total of 282 active components and 195 targets were identified through a database search. The component-target network was constructed, and the key components were screened out according to their degree. Through the GO, PPI, and KEGG analyses, the mechanism network of SQC treating DM was constructed. CONCLUSIONS: This study shows that the mechanisms of SQC treating DM are related to various pathways and targets. This study provides a good foundation and basis for further in-depth verification and clinical application. Hindawi 2020-06-04 /pmc/articles/PMC7292981/ /pubmed/32595730 http://dx.doi.org/10.1155/2020/5798764 Text en Copyright © 2020 Zhipeng Hu et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Hu, Zhipeng Yang, Maoyi Yang, Liangjun Xie, Chunguang Gao, Hong Fu, Xiaoxu Xie, Hongyan Liu, Ya Network Pharmacology-Based Identification of the Mechanisms of Shen-Qi Compound Formula in Treating Diabetes Mellitus |
title | Network Pharmacology-Based Identification of the Mechanisms of Shen-Qi Compound Formula in Treating Diabetes Mellitus |
title_full | Network Pharmacology-Based Identification of the Mechanisms of Shen-Qi Compound Formula in Treating Diabetes Mellitus |
title_fullStr | Network Pharmacology-Based Identification of the Mechanisms of Shen-Qi Compound Formula in Treating Diabetes Mellitus |
title_full_unstemmed | Network Pharmacology-Based Identification of the Mechanisms of Shen-Qi Compound Formula in Treating Diabetes Mellitus |
title_short | Network Pharmacology-Based Identification of the Mechanisms of Shen-Qi Compound Formula in Treating Diabetes Mellitus |
title_sort | network pharmacology-based identification of the mechanisms of shen-qi compound formula in treating diabetes mellitus |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7292981/ https://www.ncbi.nlm.nih.gov/pubmed/32595730 http://dx.doi.org/10.1155/2020/5798764 |
work_keys_str_mv | AT huzhipeng networkpharmacologybasedidentificationofthemechanismsofshenqicompoundformulaintreatingdiabetesmellitus AT yangmaoyi networkpharmacologybasedidentificationofthemechanismsofshenqicompoundformulaintreatingdiabetesmellitus AT yangliangjun networkpharmacologybasedidentificationofthemechanismsofshenqicompoundformulaintreatingdiabetesmellitus AT xiechunguang networkpharmacologybasedidentificationofthemechanismsofshenqicompoundformulaintreatingdiabetesmellitus AT gaohong networkpharmacologybasedidentificationofthemechanismsofshenqicompoundformulaintreatingdiabetesmellitus AT fuxiaoxu networkpharmacologybasedidentificationofthemechanismsofshenqicompoundformulaintreatingdiabetesmellitus AT xiehongyan networkpharmacologybasedidentificationofthemechanismsofshenqicompoundformulaintreatingdiabetesmellitus AT liuya networkpharmacologybasedidentificationofthemechanismsofshenqicompoundformulaintreatingdiabetesmellitus |