Network pharmacology prediction, molecular docking, and molecular dynamics simulation-based strategy to explore the potential mechanism of Huashanshen dripping pill against asthma

Abstract Objectives Asthma is a heterogeneous disease characterized by chronic airway inflammation. Huashanshen dripping pills (HSS) are commonly utilized for relieving asthma, relieving cough, and expelling phlegm. At present, the molecular mechanism against airway inflammation remains unclear. Met...

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Veröffentlicht in:Journal of pharmacy and pharmacology 2024-10, Vol.76 (10), p.1362-1378
Hauptverfasser: Wang, Xiaoyu, Ji, Yansu, Jin, Xin, Zhou, Miaomiao, Wu, Yujie, Xu, Yanhong, Liu, Rui, Feng, Jihong
Format: Artikel
Sprache:eng
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Zusammenfassung:Abstract Objectives Asthma is a heterogeneous disease characterized by chronic airway inflammation. Huashanshen dripping pills (HSS) are commonly utilized for relieving asthma, relieving cough, and expelling phlegm. At present, the molecular mechanism against airway inflammation remains unclear. Methods In this study, network pharmacology, molecular docking technology, and molecular dynamic simulation were used to predict the therapeutic pathways of HSS for asthma. The ovalbumin-induced mouse model was used to further validate the prediction by RT-qPCR, western blot, immunofluorescence, and related methods. Key findings The findings indicate that HSS improves lung function and relieves lung inflammation by reducing inflammatory cell infiltration around the bronchus and reducing eosinophilic counts in bronchoalveolar lavage fluid (BALF). In addition, it lowers the levels of inflammatory cytokines and the expression levels of interleukin-4, interleukin-5, and interleukin-13 mRNA. HSS also inhibits the phosphorylation and nuclear translocation of NF-κB p65 protein. Conclusions All results suggested that HSS can decrease airway inflammation in asthmatic mice by inhibiting NF-κB signaling pathway. This finding will shed light on how it can be used to treat asthma.
ISSN:0022-3573
2042-7158
2042-7158
DOI:10.1093/jpp/rgae081