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Zheng S, Xue C, Li S, Zao X, Li X, Liu Q, Cao X, Wang W, Qi W, Zhang P, Ye Y. Chinese medicine in the treatment of non-alcoholic fatty liver disease based on network pharmacology: a review. Front Pharmacol 2024; 15:1381712. [PMID: 38694920 PMCID: PMC11061375 DOI: 10.3389/fphar.2024.1381712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Accepted: 03/29/2024] [Indexed: 05/04/2024] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is a clinicopathological syndrome characterized by abnormalities in hepatic fat deposition, the incidence of which has been increasing year by year in recent years. It has become the largest chronic liver disease globally and one of the important causes of cirrhosis and even primary liver cancer formation. The pathogenesis of NAFLD has not yet been fully clarified. Modern medicine lacks targeted clinical treatment protocols for NAFLD, and most drugs lack efficacy and have high side effects. In contrast, Traditional Chinese Medicine (TCM) has significant advantages in the treatment and prevention of NAFLD, which have been widely recognized by scholars around the world. In recent years, through the establishment of a "medicine-disease-target-pathway" network relationship, network pharmacology can explore the molecular basis of the role of medicines in disease prevention and treatment from various perspectives, predicting the pharmacological mechanism of the corresponding medicines. This approach is compatible with the holistic view and treatment based on pattern differentiation of TCM and has been widely used in TCM research. In this paper, by searching relevant databases such as PubMed, Web of Science, and Embase, we reviewed and analyzed the relevant signaling pathways and specific mechanisms of action of single Chinese medicine, Chinese medicine combinations, and Chinese patent medicine for the treatment of NAFLD in recent years. These related studies fully demonstrated the therapeutic characteristics of TCM with multi-components, multi-targets, and multi-pathways, which provided strong support for the exact efficacy of TCM exerted in the clinic. In conclusion, we believe that network pharmacology is more in line with the TCM mindset of treating diseases, but with some limitations. In the future, we should eliminate the potential risks of false positives and false negatives, clarify the interconnectivity between components, targets, and diseases, and conduct deeper clinical or experimental studies.
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Affiliation(s)
- Shihao Zheng
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Beijing University of Chinese Medicine, Beijing, China
| | - Chengyuan Xue
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Beijing University of Chinese Medicine, Beijing, China
| | - Size Li
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Beijing University of Chinese Medicine, Beijing, China
| | - Xiaobin Zao
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Key Laboratory of Chinese Internal Medicine of Ministry of Education and Beijing, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Xiaoke Li
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Liver Diseases Academy of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Qiyao Liu
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Beijing University of Chinese Medicine, Beijing, China
| | - Xu Cao
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Liver Diseases Academy of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Wei Wang
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Beijing University of Chinese Medicine, Beijing, China
| | - Wenying Qi
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Beijing University of Chinese Medicine, Beijing, China
| | - Peng Zhang
- Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Yongan Ye
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Liver Diseases Academy of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
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Liu F, Li L, Chen J, Wu Y, Cao Y, Zhong P. A Network Pharmacology to Explore the Mechanism of Calculus Bovis in the Treatment of Ischemic Stroke. BIOMED RESEARCH INTERNATIONAL 2021; 2021:6611018. [PMID: 33778069 PMCID: PMC7972848 DOI: 10.1155/2021/6611018] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 02/15/2021] [Accepted: 02/20/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND Calculus Bovis is a valuable Chinese medicine, which is widely used in the clinical treatment of ischemic stroke. The present study is aimed at investigating its target and the mechanism involved in ischemic stroke treatment by network pharmacology. METHODS Effective compounds of Calculus Bovis were collected using methods of network pharmacology and using the Bioinformatics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine (BATMAN-TCM) and the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). Potential compound targets were searched in the TCMSP and SwissTargetPrediction databases. Ischemic stroke-related disease targets were searched in the Drugbank, DisGeNet, OMIM, and TTD databases. These two types of targets were uploaded to the STRING database, and a network of their interaction (PPI) was built with its characteristics calculated, aiming to reveal a number of key targets. Hub genes were selected using a plug-in of the Cytoscape software, and Gene Ontology (GO) biological processes and pathway enrichment analyses of Kyoto Encyclopedia of Genes and Genomes (KEGG) were conducted using the clusterProfiler package of R language. RESULTS Among 12 compounds, deoxycorticosterone, methyl cholate, and biliverdin were potentially effective components. A total of 344 Calculus Bovis compound targets and 590 ischemic stroke targets were found with 92 overlapping targets, including hub genes such as TP53, AKT, PIK2CA, MAPK3, MMP9, and MMP2. Biological functions of Calculus Bovis are associated with protein hydrolyzation, phosphorylation of serine/threonine residues of protein substrates, peptide bond hydrolyzation of peptides and proteins, hydrolyzation of intracellular second messengers, antioxidation and reduction, RNA transcription, and other biological processes. CONCLUSION Calculus Bovis may play a role in ischemic stroke by activating PI3K-AKT and MAPK signaling pathways, which are involved in regulating inflammatory response, cell apoptosis, and proliferation.
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Affiliation(s)
- Fangchen Liu
- Department of Neurology, Shanghai TCM-Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200082, China
- Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Ling Li
- Institute of Vascular Disease, Shanghai TCM-Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200082, China
| | - Jian Chen
- Institute of Vascular Disease, Shanghai TCM-Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200082, China
| | - Ying Wu
- Department of Neurology, Shanghai TCM-Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200082, China
| | - Yongbing Cao
- Institute of Vascular Disease, Shanghai TCM-Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200082, China
| | - Ping Zhong
- Department of Neurology, Shanghai TCM-Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200082, China
- Department of Neurology, Shidong Hospital of Yangpu District, Shanghai 200090, China
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