Molecular Mechanism of Ferula Asafoetida for the Treatment of Asthma: Network Pharmacology and Molecular Docking Approach
Received Date: Feb 02, 2023 / Published Date: Feb 28, 2023
Abstract
Asthma is a significant health-care burden that has great impact on the quality of life of patients and their families. The limited amount of previously reported data and complicated pathophysiology of asthma make it a difficult to treat and significant economic burden on public healthcare systems. Ferula asafoetida is an herbaceous, monoecious, perennial plant of the Umbelliferae family. In Asia, F. asafoetida is used to treat a range of diseases and disorders, including asthma. Several in vitro studies demonstrated the therapeutic efficacy of F. asafoetida against asthma. Nevertheless, the precise molecular mechanism is yet to be discovered. In the framework of current study, network pharmacology approach was used to identify the bioactive compounds of F. asafoetida in order to better understand its molecular mechanism for the treatment of asthma. In present work, we explored a compoundtarget- pathway network and discovered that assafoetidin, cynaroside, farnesiferol-B, farnesiferol-C, galbanicacid, and luteolin significantly influenced the development of asthma by targeting MAPK3, AKT1 and TNF genes. Later, docking analysis revealed that active constituents of F. asafoetida bind stably with three target proteins and function as asthma repressor by regulating the expression of MAPK3, AKT1 and TNF genes. Thus, integration of network pharmacology with molecular docking revealed that F. asafoetida prevent asthma by modulating asthmarelated signaling pathways. This study lays the basis for establishing the efficacy of multi-component, multi-target compound formulae, as well as investigating new therapeutic targets for asthma.
Citation: Tahsin R (2023) Molecular Mechanism of Ferula Asafoetida for the Treatment of Asthma: Network Pharmacology and Molecular Docking Approach. J Cell Mol Pharmacol 7: 141. Doi: 10.4172/jcmp.1000141
Copyright: © 2023 Tahsin R. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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