Experimental validation and network pharmacology evaluation to decipher the mechanism of action of Erythrina variegata L. bark against scopolamine-induced memory impairment in rats

Author(s):  
Prakash Biradar ◽  
Vishal Patil ◽  
Hanumanthachari Joshi ◽  
Pukar Khanal ◽  
Shamanand Mallapur
2021 ◽  
Vol Volume 15 ◽  
pp. 1779-1795
Author(s):  
Jiahua Liang ◽  
Yingjie Huang ◽  
Zhexing Mai ◽  
Qunzhang Zhan ◽  
Hengchen Lin ◽  
...  

2021 ◽  
Author(s):  
Di Han ◽  
Yong Xu ◽  
Wenpan Peng ◽  
Dan Wang ◽  
Tongxing Huang ◽  
...  

Abstract Backgroud: Danhong injection has been proven to be reliable and practical in the clinical treatment of Pulmonary Fibrosis (PF), whereas the mechanism of action is unclear. The aim of this study was to investigate the mechanism of action of Danhong injection in the treatment of PF through network pharmacology and experimental validation. Methods: In this paper, multiple databases were utilized to capture the targets of Danhong injection and PF disease-related targets. The interaction network such as active ingredient-target was constructed and protein interaction analysis was performed via Cytoscape software. Bioprocess and signaling pathway analysis of the targets was carried out through DIVID database. Based on the analytical results, pharmacodynamic validation and mechanistic investigation were conducted in mice. Results: In this study, 111 compounds and common targets for diseases were filtered, with key targets involving MDM2, IL-2, CCL5, AKT1, MMP9, CASP3, MMP2, etc. The KEGG and GO enrichment analysis identified 16 significantly different signaling pathways, encompassing bioprocesses such as cell proliferation, apoptosis, programmed death and immune response. Animal experiments demonstrated that Danhong injection could reduce bleomycin-induced PF in mice, and could decrease the mRNA of AKT1 and the protein expression of p-Pi3k and p-Akt, thereby reducing apoptosis in mouse lung tissues. Conclusions: This study initially revealed that Danhong injection may inhibit apoptosis through the Pi3k/Akt signaling pathway and thus reduce PF in mice.


RSC Advances ◽  
2021 ◽  
Vol 11 (19) ◽  
pp. 11610-11626
Author(s):  
Reham S. Ibrahim ◽  
Alaa A. El-Banna

Multi-level mechanism of action of propolis constituents in cancer treatment using an integrated approach of network pharmacology-based analysis, molecular docking and in vitro cytotoxicity testing.


2021 ◽  
Vol 281 ◽  
pp. 114534
Author(s):  
Ya-Li Zhang ◽  
Qiang Yin ◽  
Hui-Ming Peng ◽  
Rong Huang ◽  
Jie-Wen Zhou ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Shuhong Zeng ◽  
Zhibao Yu ◽  
Xintian Xu ◽  
Yuanjie Liu ◽  
Jiepin Li ◽  
...  

Shen-qi-Yi-zhu decoction (SQYZD) is an empirical prescription with antigastric cancer (GC) property created by Xu Jing-fan, a National Chinese Medical Master. However, its underlying mechanisms are still unclear. Based on network pharmacology and experimental verification, this study puts forward a systematic method to clarify the anti-GC mechanism of SQYZD. The active ingredients of SQYZD and their potential targets were acquired from the TCMSP database. The target genes related to GC gathered from GeneCards, DisGeNET, OMIM, TTD, and DrugBank databases were imported to establish protein-protein interaction (PPI) networks in GeneMANIA. Cytoscape was used to establish the drug-ingredients-targets-disease network. The hub target genes collected from the SQYZD and GC were parsed via GO and KEGG analysis. Our findings from network pharmacology were successfully validated using an in vitro HGC27 cell model experiment. In a word, this study proves that the combination of network pharmacology and in vitro experiments is effective in clarifying the potential molecular mechanism of traditional Chinese medicine (TCM).


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Feng Zhao ◽  
Yingjun Deng ◽  
Guanchao Du ◽  
Shengjing Liu ◽  
Jun Guo ◽  
...  

Background. The traditional Chinese medicines Astragalus and Angelica are often combined to treat male infertility, but the specific therapeutic mechanism is not clear. Therefore, this study applies a network pharmacology approach to investigate the possible mechanism of action of the drug pair Astragalus-Angelica (PAA) in the treatment of male infertility. Methods. Relevant targets for PAA treatment of male infertility are obtained through databases. Protein-protein interactions (PPIs) are constructed through STRING database and screen core targets, and an enrichment analysis is conducted through the Metascape platform. Finally, molecular docking experiments were carried out to evaluate the affinity between the target protein and the ligand of PAA. Results. The active ingredients of 112 PAA, 980 corresponding targets, and 374 effective targets of PAA for the treatment of male infertility were obtained, which are related to PI3K-Akt signaling pathway, HIF-1 signaling pathway, AGE-RAGE signaling pathway, IL-17 signaling pathway, and thyroid hormone signaling pathway. Conclusion. In this study, using a network pharmacology method, we preliminarily analyzed the effective components and action targets of the PAA. We also explored the possible mechanism of action of PAA in treating male infertility. They also lay a foundation for expanding the clinical application of PAA and provide new ideas and directions for further research on the mechanisms of action of the PAA and its components for male infertility treatment.


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