UM  > Institute of Chinese Medical Sciences
Residential Collegefalse
Status已發表Published
Investigating Key Targets of Dajianzhong Decoction for Treating Crohn’s Disease Using Weighted Gene Co-Expression Network
Zhao, Yi1; Wang, Shengpeng1; Hu, Yuanjia1,2; Wang, Yitao1
2022-12-31
Source PublicationProcesses
ISSN2227-9717
Volume11Issue:1Pages:112
Abstract

Background: Crohn’s disease (CD) is an inflammatory bowel disease, cases of which have substantially increased in recent years. The classical formula Dajianzhong decoction (DD, Japanese: Daikenchuto) is often used to treat CD, but few studies have evaluated related therapeutic mechanisms. In this study, we investigated the potential targets and mechanisms of DD used for treating CD at the molecular level through the weighted gene co-expression network. Methods: The main chemical components of the three DD herbs (Zanthoxylum bungeanum Maxim., Zingiber officinale (Willd.) Rosc., and Ginseng Radix et Rhizoma) were searched for using the HERB database. The targets for each component were identified using the SwissTargetPrediction and HERB databases, whereas the disease targets for CD were retrieved from the GeneCards and DisGeNET databases. The functional enrichment analysis was performed on the common targets of DD and CD. High-throughput sequencing data for CD patients were retrieved from the Gene Expression Omnibus database, and WGCNA was performed to identify the key targets. The association between the key targets and DD ingredients was verified using molecular docking. Results: By analyzing the interaction targets between DD and CD, 196 overlapping genes were identified. The enrichment results indicated that the PI3K-AKT, TNF, MAPK, and IL-17 signaling pathways influenced the mechanism of action of DD in counteracting CD. Combined with WGCNA, four differentially expressed genes (SLC6A4, NOS2, SHBG, and ABCB1) and their corresponding 24 compounds were closely related to the occurrence of CD. Conclusions: By integrating gene co-expression network analysis, this study preliminarily reveals the internal molecular mechanism of DD in treating CD from a systematic perspective, validated by molecular docking. However, these findings require further validation.

KeywordCrohn’s Disease Dajianzhong Decoction Molecular Docking Wgcna
DOI10.3390/pr11010112
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEngineering
WOS SubjectEngineering, Chemical
WOS IDWOS:000927526700001
PublisherMDPIST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
Scopus ID2-s2.0-85146813485
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionInstitute of Chinese Medical Sciences
THE STATE KEY LABORATORY OF QUALITY RESEARCH IN CHINESE MEDICINE (UNIVERSITY OF MACAU)
Corresponding AuthorHu, Yuanjia; Wang, Yitao
Affiliation1.Macau Centre for Research and Development in Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, 999078, Macao
2.DPM, Faculty of Health Sciences, University of Macau, 999078, Macao
First Author AffilicationInstitute of Chinese Medical Sciences
Corresponding Author AffilicationInstitute of Chinese Medical Sciences;  Faculty of Health Sciences
Recommended Citation
GB/T 7714
Zhao, Yi,Wang, Shengpeng,Hu, Yuanjia,et al. Investigating Key Targets of Dajianzhong Decoction for Treating Crohn’s Disease Using Weighted Gene Co-Expression Network[J]. Processes, 2022, 11(1), 112.
APA Zhao, Yi., Wang, Shengpeng., Hu, Yuanjia., & Wang, Yitao (2022). Investigating Key Targets of Dajianzhong Decoction for Treating Crohn’s Disease Using Weighted Gene Co-Expression Network. Processes, 11(1), 112.
MLA Zhao, Yi,et al."Investigating Key Targets of Dajianzhong Decoction for Treating Crohn’s Disease Using Weighted Gene Co-Expression Network".Processes 11.1(2022):112.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhao, Yi]'s Articles
[Wang, Shengpeng]'s Articles
[Hu, Yuanjia]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhao, Yi]'s Articles
[Wang, Shengpeng]'s Articles
[Hu, Yuanjia]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhao, Yi]'s Articles
[Wang, Shengpeng]'s Articles
[Hu, Yuanjia]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.