Elucidation of the Anti-inflammatory Mechanism of Er Miao San by Integrative Approach of Network Pharmacology and Experimental Verification

2021 ◽  
pp. 106000
Author(s):  
Bin Guo ◽  
CaiPing Zhao ◽  
Chuanhai Zhang ◽  
Yao Xiao ◽  
Guangli Yan ◽  
...  
2020 ◽  
Author(s):  
Junfang Feng ◽  
Ou Chen ◽  
Yibiao Wang

Abstract Background: Network pharmacological methods were used to predict the anti-inflammatory targets and related pathways of rhein in the treatment of asthma, and to elucidate its mechanism of action. In addition, we validated the anti-inflammatory effects of rhein in HBE cells. Methods: The corresponding targets of rhein were obtained from the TCMSP 2.3, and molecular docking was also performed. A network of predicted rhein targets was established and analysed with Cytoscape 3.7.1. The anti-inflammatory targets in the TTD database were searched to build a PPI network, which was merged with the ingredient-target network to screen anti-inflammatory targets associated with rhein. A network of anti-inflammatory rhein targets during the in vivo treatment of asthma was constructed to screen the anti-inflammatory targets related to asthma. KEGG enrichment analysis was performed with the Enrichr database and Cytoscape 3.7.1. The expression levels of proteins in the MAPK/NF-κB signalling pathway were assessed by western blot analysis. Results: Altogether, 17 targets were obtained. Epidermal active growth factor receptor (EGFR), E-selecting (E-SELE), macrophage migration inhibitory factor (MIF), and mitogen-activated protein kinase 14 (MAPK14) might be important anti-inflammatory targets of rhein during asthma treatment. We selected the MAPK signalling pathway to determine the anti-inflammatory effects of rhein. Conclusion: The anti-inflammatory mechanism of the treatment of asthma with rhein may be related to MAPK14, EGFR, E-SELE and MIF as well as their signalling pathways. To prevent the exacerbation of asthma, instead of targeting a single pathway or a single target, all these targets and their signalling pathways should be controlled holistically. Rhein may reduce inflammation by inhibiting the MAPK/NF-κB pathway.


2020 ◽  
Author(s):  
Shuiqing Qu ◽  
Kai Li ◽  
Ting Yang ◽  
Yuanmin Yang ◽  
Zhongyuzn Zheng ◽  
...  

Abstract Background: Air pollution is a growing public health burden associated with several negative health effects, especially cardiovascular disease. Shenlian extract (SL), a traditional Chinese medicine, has the effects of clearing heat-toxin and promoting blood circulation for removing blood stasis, and it has long been used to treat cardiovascular diseases and atherosclerosis. This study explored the underlying action mechanism of SL against ultrafine particle-induced myocardial ischemic injury (UFP-MI) through network pharmacology prediction and experimental verification. Methods: Male Sprague-Dawley rats with UFP-MI were pre-treated with SL intragastrically for 7 days, all the animals were randomly divided into five groups: Sham, Model (UFP+MI), SLL( 31.08mg/ kg×d) + UFP+ MI, SLM (62.16 mg/ kg×d) + UFP+MI, and SLH (124.32 mg/ kg×d) + UFP+ MI. SL or saline was administrated 7 days before UFP instillation (100 μg/kg), followed by 24 h of ischemia. Inflammatory cytokine detection and histopathological analysis were performed to assess the protective effects of SL. For the mechanism study, differentially expressed genes were identified in UFP-MI rats treated with SL through transcriptomic analysis. Subsequently, in combination with network pharmacology, potential pathways involved in the effects of SL treatment were identified using the Internet-based Computation Platform (www.tcmip.cn) and Cytoscape 3.6.0. Further validation experiments were performed to reveal the mechanism of the therapeutic effects of SL on UFP-MI.Results: In pharmacodynamics experiments, SL significantly suppressed inflammatory cell infiltration into myocardial tissue and exhibited significant anti -inflammatory activity. Transcriptomic analysis revealed that the differentially expressed genes after SL treatment had significant anti-inflammatory, immunomodulatory, and anti-viral activities. Network pharmacology analysis illustrated that the targets of SL participate in the inflammatory response, apoptotic process, innate immune response, platelet activation, and other processes. By combining transcriptomic and network pharmacology data, we found that SL may exert anti-inflammatory effects by acting on the NOD-like signaling pathway to regulate immune response activation and inhibit systemic inflammation. Verification experiments revealed that SL suppressed NLRP3 inflammasome active and inflammasomes are cytosolic protein complexes that stimulate the activation of Caspase-1, which in turn induces the secretion of the inflammatory cytokines Interleukin-1 (IL-1), Interleukin-18(IL-18) and Interleukin-33(IL-33) Conclusion: UFP can induce the activation of NLRP3 inflammasome, leading to the release of downstream the inflammatory cytokines, aggravate the pathological conditions of inflammatory infiltration, and further aggravate the myocardial ischemic injury. Experimental verification indicated that SL can directly inhibit the activation of NLRP3 inflammasomes in the NOD-like signaling pathway and reduce cytokines release. In conclusion, our results confirmed that SL may prevent UFP-MI by acting on the NOD-like signaling pathway.


2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Fuda Xie ◽  
Mingxiang Xie ◽  
Yibing Yang ◽  
Miaomiao Zhang ◽  
Xiaojie Xu ◽  
...  

Reduning Injection (RDNI) is a traditional Chinese medicine formula indicated for the treatment of inflammatory diseases. However, the molecular mechanism of RDNI is unclear. The information of RDNI ingredients was collected from previous studies. Targets of them were obtained by data mining and molecular docking. The information of targets and related pathways was collected in UniProt and KEGG. Networks were constructed and analyzed by Cytoscape to identify key compounds, targets, and pathways. Data mining and molecular docking identified 11 compounds, 84 targets, and 201 pathways that are related to the anti-inflammatory activity of RDNI. Network analysis identified two key compounds (caffeic acid and ferulic acid), five key targets (Bcl-2, eNOS, PTGS2, PPARA, and MMPs), and four key pathways (estrogen signaling pathway, PI3K-AKT signaling pathway, cGMP-PKG signaling pathway, and calcium signaling pathway) which would play critical roles in the treatment of inflammatory diseases by RDNI. The cross-talks among pathways provided a deeper understanding of anti-inflammatory effect of RDNI. RDNI is capable of regulating multiple biological processes and treating inflammation at a systems level. Network pharmacology is a practical approach to explore the therapeutic mechanism of TCM for complex disease.


2020 ◽  
Vol 1549 ◽  
pp. 032024
Author(s):  
Lijuan Lv ◽  
Xulong Huang ◽  
Xiaofen Li ◽  
Rongze Fang ◽  
Xiangpei Wang ◽  
...  

2020 ◽  
Vol 86 ◽  
pp. 106727
Author(s):  
Xiu-Fang Huang ◽  
Jia-Lin Zhang ◽  
Dan-Ping Huang ◽  
Ai-Si Huang ◽  
Hui-Ting Huang ◽  
...  

2019 ◽  
Vol 1187 (4) ◽  
pp. 042090
Author(s):  
Xulong Huang ◽  
Junjie Hao ◽  
Yuqing Liang ◽  
Yuanmin Wang ◽  
Juan Kong ◽  
...  

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