The Anti-PEDV Effects and Mechanisms of Forsythia Essential Oil Based on Network Pharmacology and Experimental Validation.

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Ruiping Liang, Jianbo Guo, Kai Li, Xuan Wang, Xiaoxiao Ge, Jinhui Wang, Jing Sun, Chongbo Zhao, Huanxian Shi, Rongxia Qiao, Hongqing Zheng, Xiaofei Zhang
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引用次数: 0

Abstract

Objective: Porcine epidemic diarrhea virus (PEDV), a member of the Coronaviridae, is responsible for acute diarrhea, vomiting, and dehydration, which can lead to high mortality in neonatal piglets. Previous research has indicated the antiviral potential of forsythia essential oil (FEO); however, its active components and mechanisms of action remain inadequately defined. This study aims to investigate the antiviral effects of FEO and elucidate its potential mechanisms for treating PEDV.

Methods: The primary components of FEO were identified using gas chromatography-mass spectrometry (GC/MS) in conjunction with the National Institute of Standards and Technology Standard Spectrum (NIST) Database. Network pharmacology and weighting coefficients were employed to determine the key signaling pathways associated with PEDV-related diseases. Molecular docking simulations were conducted to explore the interactions between the active ingredients and their corresponding targets. The safety profile of FEO was assessed through cell viability assays utilizing the CCK8 method. Subsequently, immunofluorescence assays (IFA) and reverse transcription-quantitative polymerase chain reaction (RT-Q-PCR) were performed to provide evidence of the anti-PEDV effects. Additionally, the viral replication cycle was analyzed to identify the stages at which FEO exerts its antiviral effects. Finally, key targets were validated through RT-Q-PCR to further investigate the anti-PEDV mechanisms of FEO.

Results: The IL-17 signaling pathway was identified as a critical pathway for the treatment of PEDV with FEO based on network pharmacology and weighting coefficient analyses. Furthermore, results from RT-Q-PCR and IFA demonstrated that FEO influenced the replication of PEDV during the attachment and internalization phases. Specifically, during the viral attachment phase, FEO significantly upregulated the expression of HSP90AA1 while downregulating MAPK14 expression, leading to a reduction in associated inflammatory factors. At the high dose of FEO, the expression of HSP90AA1 was higher than that of the model group by about 5-fold, and the expression of MAPK14 was lower than that of the model group by about 2-fold. Cell viability assay showed no significant cytotoxicity of FEO at 0.63 μL/mL, thus confirming its safety.

Conclusion: The findings of this study suggest that FEO possesses potential antiviral properties against PEDV. Its novel mechanisms of action warrant further investigation, which may contribute to the development of effective therapeutic strategies for managing PEDV infections.

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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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