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Mechanisms of Paeonia lactiflora in Treatment of Ulcerative Colitis: A Network Pharmacological Study

BACKGROUND: Paeonia lactiflora is the main active ingredient of peony decoction, which is used to treat ulcerative colitis (UC) in traditional Chinese medicine (TCM). Network pharmacology indicates the multiple interactions among genes, proteins, and metabolites associated with diseases and drugs fr...

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Autores principales: Zhang, Yin, Li, Xiaoyan, Xu, Xianlin, Yang, Ningxi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6798801/
https://www.ncbi.nlm.nih.gov/pubmed/31594914
http://dx.doi.org/10.12659/MSM.917695
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author Zhang, Yin
Li, Xiaoyan
Xu, Xianlin
Yang, Ningxi
author_facet Zhang, Yin
Li, Xiaoyan
Xu, Xianlin
Yang, Ningxi
author_sort Zhang, Yin
collection PubMed
description BACKGROUND: Paeonia lactiflora is the main active ingredient of peony decoction, which is used to treat ulcerative colitis (UC) in traditional Chinese medicine (TCM). Network pharmacology indicates the multiple interactions among genes, proteins, and metabolites associated with diseases and drugs from the network perspective, which shows the multi-component and multi-target attributes of TCM. This study predicted the pharmacological mechanism of Paeonia lactiflora in the treatment of UC by network pharmacological method. MATERIAL/METHODS: Chemical constituents of Paeonia lactiflora were searched from TCMSP data, gene names of target sites were extracted from UniProt database, and disease targets of ulcerative colitis were obtained from the CTD disease database. Use Venny online tools to obtain common targets for drugs and diseases. The DAVID database was used to enrich GO and KEGG for the common target, and the related functions and pathways were obtained. Cytoscape 3.7.1 was used to construct the ‘drug-compound-target-disease’ network. RESULTS: There are 70 common target genes between Paeonia lactiflora and UC. GO analysis showed that the biological functions of the common target genes of Paeonia lactiflora and UC include response to lipopolysaccharide, response to estradiol, response to drug, positive regulation of nitric oxide biosynthetic process, and steroid hormone-mediated signaling pathway. Enrichment of the KEGG signaling pathway mainly involves signaling pathways, including Pathways in cancer, TNF signaling pathway, Tuberculosis, Hepatitis B, and Toxoplasmosis. CONCLUSIONS: The network pharmacology intuitively shows the multi-component, multi-target, and multi-channel pharmacological effects of Paeonia lactiflora on UC, and provides a scientific basis for studying the mechanism of the effect of Paeonia lactiflora on UC.
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spelling pubmed-67988012019-10-30 Mechanisms of Paeonia lactiflora in Treatment of Ulcerative Colitis: A Network Pharmacological Study Zhang, Yin Li, Xiaoyan Xu, Xianlin Yang, Ningxi Med Sci Monit Lab/In Vitro Research BACKGROUND: Paeonia lactiflora is the main active ingredient of peony decoction, which is used to treat ulcerative colitis (UC) in traditional Chinese medicine (TCM). Network pharmacology indicates the multiple interactions among genes, proteins, and metabolites associated with diseases and drugs from the network perspective, which shows the multi-component and multi-target attributes of TCM. This study predicted the pharmacological mechanism of Paeonia lactiflora in the treatment of UC by network pharmacological method. MATERIAL/METHODS: Chemical constituents of Paeonia lactiflora were searched from TCMSP data, gene names of target sites were extracted from UniProt database, and disease targets of ulcerative colitis were obtained from the CTD disease database. Use Venny online tools to obtain common targets for drugs and diseases. The DAVID database was used to enrich GO and KEGG for the common target, and the related functions and pathways were obtained. Cytoscape 3.7.1 was used to construct the ‘drug-compound-target-disease’ network. RESULTS: There are 70 common target genes between Paeonia lactiflora and UC. GO analysis showed that the biological functions of the common target genes of Paeonia lactiflora and UC include response to lipopolysaccharide, response to estradiol, response to drug, positive regulation of nitric oxide biosynthetic process, and steroid hormone-mediated signaling pathway. Enrichment of the KEGG signaling pathway mainly involves signaling pathways, including Pathways in cancer, TNF signaling pathway, Tuberculosis, Hepatitis B, and Toxoplasmosis. CONCLUSIONS: The network pharmacology intuitively shows the multi-component, multi-target, and multi-channel pharmacological effects of Paeonia lactiflora on UC, and provides a scientific basis for studying the mechanism of the effect of Paeonia lactiflora on UC. International Scientific Literature, Inc. 2019-10-09 /pmc/articles/PMC6798801/ /pubmed/31594914 http://dx.doi.org/10.12659/MSM.917695 Text en © Med Sci Monit, 2019 This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Lab/In Vitro Research
Zhang, Yin
Li, Xiaoyan
Xu, Xianlin
Yang, Ningxi
Mechanisms of Paeonia lactiflora in Treatment of Ulcerative Colitis: A Network Pharmacological Study
title Mechanisms of Paeonia lactiflora in Treatment of Ulcerative Colitis: A Network Pharmacological Study
title_full Mechanisms of Paeonia lactiflora in Treatment of Ulcerative Colitis: A Network Pharmacological Study
title_fullStr Mechanisms of Paeonia lactiflora in Treatment of Ulcerative Colitis: A Network Pharmacological Study
title_full_unstemmed Mechanisms of Paeonia lactiflora in Treatment of Ulcerative Colitis: A Network Pharmacological Study
title_short Mechanisms of Paeonia lactiflora in Treatment of Ulcerative Colitis: A Network Pharmacological Study
title_sort mechanisms of paeonia lactiflora in treatment of ulcerative colitis: a network pharmacological study
topic Lab/In Vitro Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6798801/
https://www.ncbi.nlm.nih.gov/pubmed/31594914
http://dx.doi.org/10.12659/MSM.917695
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