Based on Network Pharmacology to Explore the Molecular Targets and Mechanisms of Gegen Qinlian Decoction for the Treatment of Ulcerative Colitis

Joint Authors

Sun, Bing
Li, He
Wei, Chao
Wang, Rong
Wei, Meiqi
Li, Qifang
Qiao, Yi
Ma, Qun
Xie, Ruining
Li, Bingbing
Zheng, Canlei
Yu, Bin
Liu, Yuan

Source

BioMed Research International

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-18, 18 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-11-25

Country of Publication

Egypt

No. of Pages

18

Main Subjects

Medicine

Abstract EN

Background.

Gegen Qinlian (GGQL) decoction is a common Chinese herbal compound for the treatment of ulcerative colitis (UC).

In this study, we aimed to identify its molecular target and the mechanism involved in UC treatment by network pharmacology and molecular docking.

Material and Methods.

The active ingredients of Puerariae, Scutellariae, Coptis, and Glycyrrhiza were screened using the TCMSP platform with drug‐like properties DL≥0.18 and oral availability OB≥30%.

To find the intersection genes and construct the TCM compound-disease regulatory network, the molecular targets were determined in the UniProt database and then compared with the UC disease differential genes with P value < 0.005 and ∣log2 fold change∣>1 obtained in the GEO database.

The intersection genes were subjected to protein-protein interaction (PPI) construction and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis.

After screening the key active ingredients and target genes, the AutoDock software was used for molecular docking, and the best binding target was selected for molecular docking to verify the binding activity.

Results.

A total of 146 active compounds were screened, and quercetin, kaempferol, wogonin, and stigmasterol were identified as the active ingredients with the highest associated targets, and NOS2, PPARG, and MMP1 were the targets associated with the maximum number of active ingredients.

Through topological analysis, 32 strongly associated proteins were found, of which EGFR, PPARG, ESR1, HSP90AA1, MYC, HSPA5, AR, AKT1, and RELA were predicted targets of the traditional Chinese medicine, and PPARG was also an intersection gene.

It was speculated that these targets were the key to the use of GGQL in UC treatment.

GO enrichment results showed significant enrichment of biological processes, such as oxygen levels, leukocyte migration, collagen metabolic processes, and nutritional coping.

KEGG enrichment showed that genes were particularly enriched in the IL-17 signaling pathway, AGE-RAGE signaling pathway, toll-like receptor signaling pathway, tumor necrosis factor signaling pathway, transcriptional deregulation in cancer, and other pathways.

Molecular docking results showed that key components in GGQL had good potential to bind to the target genes MMP3, IL1B, NOS2, HMOX1, PPARG, and PLAU.

Conclusion.

GGQL may play a role in the treatment of ulcerative colitis by anti-inflammation, antioxidation, and inhibition of cancer gene transcription.

American Psychological Association (APA)

Wei, Meiqi& Li, He& Li, Qifang& Qiao, Yi& Ma, Qun& Xie, Ruining…[et al.]. 2020. Based on Network Pharmacology to Explore the Molecular Targets and Mechanisms of Gegen Qinlian Decoction for the Treatment of Ulcerative Colitis. BioMed Research International،Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1134592

Modern Language Association (MLA)

Wei, Meiqi…[et al.]. Based on Network Pharmacology to Explore the Molecular Targets and Mechanisms of Gegen Qinlian Decoction for the Treatment of Ulcerative Colitis. BioMed Research International No. 2020 (2020), pp.1-18.
https://search.emarefa.net/detail/BIM-1134592

American Medical Association (AMA)

Wei, Meiqi& Li, He& Li, Qifang& Qiao, Yi& Ma, Qun& Xie, Ruining…[et al.]. Based on Network Pharmacology to Explore the Molecular Targets and Mechanisms of Gegen Qinlian Decoction for the Treatment of Ulcerative Colitis. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1134592

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1134592