Cargando…
A Network Pharmacology Approach to Investigate the Mechanism of Erjing Prescription in Type 2 Diabetes
Erjing prescription (EJP) was an ancient formula that was recorded in the General Medical Collection of Royal Benevolence of the Song Dynasty. It has been frequently used to treat type 2 diabetes mellitus (T2DM) in the long history of China. The formula consists of Lycium barbarum L. and Polygonatum...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8328705/ https://www.ncbi.nlm.nih.gov/pubmed/34349832 http://dx.doi.org/10.1155/2021/9933236 |
_version_ | 1783732348620111872 |
---|---|
author | Wang, Jiexin Chu, Haiqing Li, Hangying Yang, Wenqian Zhao, Yu Shen, Tong Cary, John Zhang, Liming |
author_facet | Wang, Jiexin Chu, Haiqing Li, Hangying Yang, Wenqian Zhao, Yu Shen, Tong Cary, John Zhang, Liming |
author_sort | Wang, Jiexin |
collection | PubMed |
description | Erjing prescription (EJP) was an ancient formula that was recorded in the General Medical Collection of Royal Benevolence of the Song Dynasty. It has been frequently used to treat type 2 diabetes mellitus (T2DM) in the long history of China. The formula consists of Lycium barbarum L. and Polygonatum sibiricum F. Delaroche with a ratio of 1 : 1. This study aimed to identify the potential effects and mechanisms of EJP treatment T2DM. The target proteins and possible pathways of EJP in T2DM treatment were investigated by the approach of network pharmacology and real-time PCR (RT-PCR). 99 diabetes-related proteins were regulated by 56 bioactive constituents in EJP in 26 signal pathways by Cytoscape determination. According to GO analysis, 606 genes entries have been enriched. The PPI network suggested that AKT1, EGF, EGFR, MAPK1, and GSK3β proteins were core genes. Among the 26 signal pathways, the PI3K-AKT signal pathway was tested by the RT-PCR. The expression level of PI3K p85, AKT1, GSK3β, and Myc mRNA of this pathway was regulated by EJP. The study based on network pharmacology and RT-PCR analysis revealed that the blood sugar level was regulated by EJP via regulating the PI3K-AKT signal pathway. Plenty of new treatment methods for T2DM using EJP were provided by network pharmacology analysis. |
format | Online Article Text |
id | pubmed-8328705 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-83287052021-08-03 A Network Pharmacology Approach to Investigate the Mechanism of Erjing Prescription in Type 2 Diabetes Wang, Jiexin Chu, Haiqing Li, Hangying Yang, Wenqian Zhao, Yu Shen, Tong Cary, John Zhang, Liming Evid Based Complement Alternat Med Research Article Erjing prescription (EJP) was an ancient formula that was recorded in the General Medical Collection of Royal Benevolence of the Song Dynasty. It has been frequently used to treat type 2 diabetes mellitus (T2DM) in the long history of China. The formula consists of Lycium barbarum L. and Polygonatum sibiricum F. Delaroche with a ratio of 1 : 1. This study aimed to identify the potential effects and mechanisms of EJP treatment T2DM. The target proteins and possible pathways of EJP in T2DM treatment were investigated by the approach of network pharmacology and real-time PCR (RT-PCR). 99 diabetes-related proteins were regulated by 56 bioactive constituents in EJP in 26 signal pathways by Cytoscape determination. According to GO analysis, 606 genes entries have been enriched. The PPI network suggested that AKT1, EGF, EGFR, MAPK1, and GSK3β proteins were core genes. Among the 26 signal pathways, the PI3K-AKT signal pathway was tested by the RT-PCR. The expression level of PI3K p85, AKT1, GSK3β, and Myc mRNA of this pathway was regulated by EJP. The study based on network pharmacology and RT-PCR analysis revealed that the blood sugar level was regulated by EJP via regulating the PI3K-AKT signal pathway. Plenty of new treatment methods for T2DM using EJP were provided by network pharmacology analysis. Hindawi 2021-07-24 /pmc/articles/PMC8328705/ /pubmed/34349832 http://dx.doi.org/10.1155/2021/9933236 Text en Copyright © 2021 Jiexin Wang et al. https://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 Wang, Jiexin Chu, Haiqing Li, Hangying Yang, Wenqian Zhao, Yu Shen, Tong Cary, John Zhang, Liming A Network Pharmacology Approach to Investigate the Mechanism of Erjing Prescription in Type 2 Diabetes |
title | A Network Pharmacology Approach to Investigate the Mechanism of Erjing Prescription in Type 2 Diabetes |
title_full | A Network Pharmacology Approach to Investigate the Mechanism of Erjing Prescription in Type 2 Diabetes |
title_fullStr | A Network Pharmacology Approach to Investigate the Mechanism of Erjing Prescription in Type 2 Diabetes |
title_full_unstemmed | A Network Pharmacology Approach to Investigate the Mechanism of Erjing Prescription in Type 2 Diabetes |
title_short | A Network Pharmacology Approach to Investigate the Mechanism of Erjing Prescription in Type 2 Diabetes |
title_sort | network pharmacology approach to investigate the mechanism of erjing prescription in type 2 diabetes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8328705/ https://www.ncbi.nlm.nih.gov/pubmed/34349832 http://dx.doi.org/10.1155/2021/9933236 |
work_keys_str_mv | AT wangjiexin anetworkpharmacologyapproachtoinvestigatethemechanismoferjingprescriptionintype2diabetes AT chuhaiqing anetworkpharmacologyapproachtoinvestigatethemechanismoferjingprescriptionintype2diabetes AT lihangying anetworkpharmacologyapproachtoinvestigatethemechanismoferjingprescriptionintype2diabetes AT yangwenqian anetworkpharmacologyapproachtoinvestigatethemechanismoferjingprescriptionintype2diabetes AT zhaoyu anetworkpharmacologyapproachtoinvestigatethemechanismoferjingprescriptionintype2diabetes AT shentong anetworkpharmacologyapproachtoinvestigatethemechanismoferjingprescriptionintype2diabetes AT caryjohn anetworkpharmacologyapproachtoinvestigatethemechanismoferjingprescriptionintype2diabetes AT zhangliming anetworkpharmacologyapproachtoinvestigatethemechanismoferjingprescriptionintype2diabetes AT wangjiexin networkpharmacologyapproachtoinvestigatethemechanismoferjingprescriptionintype2diabetes AT chuhaiqing networkpharmacologyapproachtoinvestigatethemechanismoferjingprescriptionintype2diabetes AT lihangying networkpharmacologyapproachtoinvestigatethemechanismoferjingprescriptionintype2diabetes AT yangwenqian networkpharmacologyapproachtoinvestigatethemechanismoferjingprescriptionintype2diabetes AT zhaoyu networkpharmacologyapproachtoinvestigatethemechanismoferjingprescriptionintype2diabetes AT shentong networkpharmacologyapproachtoinvestigatethemechanismoferjingprescriptionintype2diabetes AT caryjohn networkpharmacologyapproachtoinvestigatethemechanismoferjingprescriptionintype2diabetes AT zhangliming networkpharmacologyapproachtoinvestigatethemechanismoferjingprescriptionintype2diabetes |