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Network Pharmacology and Intestinal Microbiota Analysis Revealing the Mechanism of Punicalagin Improving Bacterial Enteritis

BACKGROUND: The Chinese medicine punicalagin (Pun), the most important active ingredient in pomegranate peel, has significant bacteriostatic and anti-inflammatory properties. The potential mechanisms of Pun for bacterial enteritis, however, are unknown. OBJECTIVE: The goal of our research is to inve...

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Autores principales: Huang, Shuyun, Wang, Ying, Zhu, Qingsong, Guo, Hongmin, Hong, Zongyuan, Zhong, Shuzhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Science Publishers 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641859/
https://www.ncbi.nlm.nih.gov/pubmed/37246319
http://dx.doi.org/10.2174/1573409919666230526165501
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author Huang, Shuyun
Wang, Ying
Zhu, Qingsong
Guo, Hongmin
Hong, Zongyuan
Zhong, Shuzhi
author_facet Huang, Shuyun
Wang, Ying
Zhu, Qingsong
Guo, Hongmin
Hong, Zongyuan
Zhong, Shuzhi
author_sort Huang, Shuyun
collection PubMed
description BACKGROUND: The Chinese medicine punicalagin (Pun), the most important active ingredient in pomegranate peel, has significant bacteriostatic and anti-inflammatory properties. The potential mechanisms of Pun for bacterial enteritis, however, are unknown. OBJECTIVE: The goal of our research is to investigate the mechanism of Pun in the treatment of bacterial enteritis using computer-aided drug technology, as well as to investigate the intervention effect of Pun on mice with bacterial enteritis using intestinal flora sequencing. METHODS: The targets of Pun and Bacterial enteritis were obtained by using the specific database, and cross-targets were screened among these targets, followed by PPI and enrichment analysis of the targets. Furthermore, the degree of binding between Pun and key targets was predicted through molecular docking. After successfully establishing the bacterial enteritis model in vivo, mice were randomly assigned to groups. They were treated for 7 days, the symptoms were observed daily, and the daily DAI and body weight change rate were calculated. Following administration, the intestinal tissue was removed, and the contents were separated. The tight junction protein expression was detected in the small intestine by the immunohistochemical method; ELISA and Western Blot (WB) were performed to detect the expressions of tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) in the serum and intestinal wall of mice. The 16S rRNA sequence was used to determine the composition and diversity of the intestinal flora of mice. RESULTS: In total, 130 intersection targets of Pun and disease were screened by network pharmacology. The enrichment analysis showed cross genes were closely related and enriched in the cancer regulation and the TNF signal pathway. The active components of Pun could specifically bind to the core targets TNF, IL-6, etc., determined from molecular docking results. In vivo experiment results showed that the symptoms in the PUN group mice were alleviated, and the expression levels of TNF-α and IL-6 were significantly reduced. A Pun can cause substantial changes in the intestinal flora of mice in terms of structure and function. CONCLUSION: Pun plays a multi-target role in alleviating bacterial enteritis by regulating intestinal flora.
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spelling pubmed-106418592023-11-15 Network Pharmacology and Intestinal Microbiota Analysis Revealing the Mechanism of Punicalagin Improving Bacterial Enteritis Huang, Shuyun Wang, Ying Zhu, Qingsong Guo, Hongmin Hong, Zongyuan Zhong, Shuzhi Curr Comput Aided Drug Des Chemistry, Combinatorial Chemistry and High Throughput Screening, Medicinal Chemistry, Interdisciplinary Applications Computer Science BACKGROUND: The Chinese medicine punicalagin (Pun), the most important active ingredient in pomegranate peel, has significant bacteriostatic and anti-inflammatory properties. The potential mechanisms of Pun for bacterial enteritis, however, are unknown. OBJECTIVE: The goal of our research is to investigate the mechanism of Pun in the treatment of bacterial enteritis using computer-aided drug technology, as well as to investigate the intervention effect of Pun on mice with bacterial enteritis using intestinal flora sequencing. METHODS: The targets of Pun and Bacterial enteritis were obtained by using the specific database, and cross-targets were screened among these targets, followed by PPI and enrichment analysis of the targets. Furthermore, the degree of binding between Pun and key targets was predicted through molecular docking. After successfully establishing the bacterial enteritis model in vivo, mice were randomly assigned to groups. They were treated for 7 days, the symptoms were observed daily, and the daily DAI and body weight change rate were calculated. Following administration, the intestinal tissue was removed, and the contents were separated. The tight junction protein expression was detected in the small intestine by the immunohistochemical method; ELISA and Western Blot (WB) were performed to detect the expressions of tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) in the serum and intestinal wall of mice. The 16S rRNA sequence was used to determine the composition and diversity of the intestinal flora of mice. RESULTS: In total, 130 intersection targets of Pun and disease were screened by network pharmacology. The enrichment analysis showed cross genes were closely related and enriched in the cancer regulation and the TNF signal pathway. The active components of Pun could specifically bind to the core targets TNF, IL-6, etc., determined from molecular docking results. In vivo experiment results showed that the symptoms in the PUN group mice were alleviated, and the expression levels of TNF-α and IL-6 were significantly reduced. A Pun can cause substantial changes in the intestinal flora of mice in terms of structure and function. CONCLUSION: Pun plays a multi-target role in alleviating bacterial enteritis by regulating intestinal flora. Bentham Science Publishers 2023-09-22 2023-09-22 /pmc/articles/PMC10641859/ /pubmed/37246319 http://dx.doi.org/10.2174/1573409919666230526165501 Text en © 2024 Bentham Science Publishers https://creativecommons.org/licenses/by/4.0/© 2024 The Author(s). Published by Bentham Science Publisher. This is an open access article published under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/legalcode)
spellingShingle Chemistry, Combinatorial Chemistry and High Throughput Screening, Medicinal Chemistry, Interdisciplinary Applications Computer Science
Huang, Shuyun
Wang, Ying
Zhu, Qingsong
Guo, Hongmin
Hong, Zongyuan
Zhong, Shuzhi
Network Pharmacology and Intestinal Microbiota Analysis Revealing the Mechanism of Punicalagin Improving Bacterial Enteritis
title Network Pharmacology and Intestinal Microbiota Analysis Revealing the Mechanism of Punicalagin Improving Bacterial Enteritis
title_full Network Pharmacology and Intestinal Microbiota Analysis Revealing the Mechanism of Punicalagin Improving Bacterial Enteritis
title_fullStr Network Pharmacology and Intestinal Microbiota Analysis Revealing the Mechanism of Punicalagin Improving Bacterial Enteritis
title_full_unstemmed Network Pharmacology and Intestinal Microbiota Analysis Revealing the Mechanism of Punicalagin Improving Bacterial Enteritis
title_short Network Pharmacology and Intestinal Microbiota Analysis Revealing the Mechanism of Punicalagin Improving Bacterial Enteritis
title_sort network pharmacology and intestinal microbiota analysis revealing the mechanism of punicalagin improving bacterial enteritis
topic Chemistry, Combinatorial Chemistry and High Throughput Screening, Medicinal Chemistry, Interdisciplinary Applications Computer Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641859/
https://www.ncbi.nlm.nih.gov/pubmed/37246319
http://dx.doi.org/10.2174/1573409919666230526165501
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