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Mechanisms Underlying the Therapeutic Effects of Yiqi Wenyang Huwei Decoction in Treating Asthma Based on GEO Datasets, Network Pharmacology, Experimental Validation, and Molecular Docking
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Purpose:
The Yiqi Wenyang Huwei Decoction (YWHD) is an herbal formula frequently
utilized to treat asthma. Despite its wide usage, the specific mechanism of action remains
unknown. Through an in-depth investigation utilizing network pharmacology, molecular
docking techniques, and experimental validation, this study aims to uncover the molecular
mechanism and material basis of YWHD in the treatment of asthma.
Methods:
The compounds and targets of YWHD were gathered from various databases such
as TCMSP, PubMed, and CNKI. Additionally, asthma-related targets were obtained by combining
the GEO dataset with GeneCards and OMIM databases. The STRING platform was
employed to establish protein-protein interactions. GO and KEGG pathway enrichment analyses
were conducted using DAVID. Molecular docking was utilized to assess the binding affinity
between potential targets and active compounds. The asthma rat model was established
through OVA induction, and a lung function meter was used to detect Mch-induced Max Rrs.
HE staining was conducted to observe pathological changes, while ELISA was used to detect
levels of inflammatory factors IL4, IL6, IL13, and IgE in BLAF. Furthermore, qPCR was
used to detect levels of IL-1β, IL-6, JUN, and PTGS2 mRNA, while Western blot assay was
employed to measure phosphorylation levels of NF-κB and IKKα.
Results:
A comprehensive study revealed that YWHD has 188 active compounds and 250
corresponding targets. After conducting a topological analysis of the PPI network, the study
identified 14 high-activity targets, including JUN, PTGS2, IL6, IL1B, CXCL8, MMP9, IL10,
ALB, TGFB1, CCL2, IFNG, IL4, MAPK3, and STAT3. Further, GO and KEGG pathway enrichment
analysis indicated that YWHD targets inflammation-related genes and regulates IL-
17 and NF-kappa B signaling pathways. Animal studies have shown that YWHD can effectively
minimize airway Max Rrs, reduce the levels of inflammatory factors IL4, IL13, IL6,
and IgE in BLAF, and improve airway inflammation in rats with asthma. Molecular experiments
have also demonstrated that YWHD achieves this by down-regulating the expression
levels of IL-1β, IL-6, JUN, and PTGS2 mRNA, inhibiting the phosphorylation modification
levels of NF-κB and IKKα, and reducing the levels of inflammatory cytokines IL4, IL13,
IL6, and IgE in BALF of rats. Interestingly, molecular docking has revealed that the active
compounds in YWHD have a strong binding ability to the screening targets.
Conclusion:
This research endeavor systematically explicated the active constituents, prospective
targets, and signaling pathways of YWHD for asthmatic intervention. The study
provides an innovative notion and dependable resource for comprehending the molecular
mechanism and pharmaceutical screening of YWHD in the context of asthma treatment.
Bentham Science Publishers Ltd.
Title: Mechanisms Underlying the Therapeutic Effects of Yiqi Wenyang Huwei Decoction in Treating Asthma Based on GEO Datasets, Network Pharmacology, Experimental Validation, and Molecular Docking
Description:
Purpose:
The Yiqi Wenyang Huwei Decoction (YWHD) is an herbal formula frequently
utilized to treat asthma.
Despite its wide usage, the specific mechanism of action remains
unknown.
Through an in-depth investigation utilizing network pharmacology, molecular
docking techniques, and experimental validation, this study aims to uncover the molecular
mechanism and material basis of YWHD in the treatment of asthma.
Methods:
The compounds and targets of YWHD were gathered from various databases such
as TCMSP, PubMed, and CNKI.
Additionally, asthma-related targets were obtained by combining
the GEO dataset with GeneCards and OMIM databases.
The STRING platform was
employed to establish protein-protein interactions.
GO and KEGG pathway enrichment analyses
were conducted using DAVID.
Molecular docking was utilized to assess the binding affinity
between potential targets and active compounds.
The asthma rat model was established
through OVA induction, and a lung function meter was used to detect Mch-induced Max Rrs.
HE staining was conducted to observe pathological changes, while ELISA was used to detect
levels of inflammatory factors IL4, IL6, IL13, and IgE in BLAF.
Furthermore, qPCR was
used to detect levels of IL-1β, IL-6, JUN, and PTGS2 mRNA, while Western blot assay was
employed to measure phosphorylation levels of NF-κB and IKKα.
Results:
A comprehensive study revealed that YWHD has 188 active compounds and 250
corresponding targets.
After conducting a topological analysis of the PPI network, the study
identified 14 high-activity targets, including JUN, PTGS2, IL6, IL1B, CXCL8, MMP9, IL10,
ALB, TGFB1, CCL2, IFNG, IL4, MAPK3, and STAT3.
Further, GO and KEGG pathway enrichment
analysis indicated that YWHD targets inflammation-related genes and regulates IL-
17 and NF-kappa B signaling pathways.
Animal studies have shown that YWHD can effectively
minimize airway Max Rrs, reduce the levels of inflammatory factors IL4, IL13, IL6,
and IgE in BLAF, and improve airway inflammation in rats with asthma.
Molecular experiments
have also demonstrated that YWHD achieves this by down-regulating the expression
levels of IL-1β, IL-6, JUN, and PTGS2 mRNA, inhibiting the phosphorylation modification
levels of NF-κB and IKKα, and reducing the levels of inflammatory cytokines IL4, IL13,
IL6, and IgE in BALF of rats.
Interestingly, molecular docking has revealed that the active
compounds in YWHD have a strong binding ability to the screening targets.
Conclusion:
This research endeavor systematically explicated the active constituents, prospective
targets, and signaling pathways of YWHD for asthmatic intervention.
The study
provides an innovative notion and dependable resource for comprehending the molecular
mechanism and pharmaceutical screening of YWHD in the context of asthma treatment.
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