Mechanistic investigation of Shuanghuanglian against infectious bronchitis in chickens: a network pharmacology and molecular dynamics study
IntroductionInfectious bronchitis (IB) poses a major challenge to global poultry production, causing substantial economic burdens and underscoring the necessity for novel therapeutic interventions given the limitations of current vaccines and conventional antiviral agents. The purpose of this study...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-03-01
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| Series: | Frontiers in Veterinary Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fvets.2025.1557850/full |
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| author | Fuming You Hanzhao Zhang Linghao Meng Chuanhong Li Yuxia Yang Yongqiang Wang Rigetu Zhao Luomeng Chao Luomeng Chao Luomeng Chao |
| author_facet | Fuming You Hanzhao Zhang Linghao Meng Chuanhong Li Yuxia Yang Yongqiang Wang Rigetu Zhao Luomeng Chao Luomeng Chao Luomeng Chao |
| author_sort | Fuming You |
| collection | DOAJ |
| description | IntroductionInfectious bronchitis (IB) poses a major challenge to global poultry production, causing substantial economic burdens and underscoring the necessity for novel therapeutic interventions given the limitations of current vaccines and conventional antiviral agents. The purpose of this study is to comprehensively explore the active components in Shuanghuanglian and their interaction with the key pathological targets of IBV (Infectious bronchitis virus) infection. By using advanced computational methods, this study aims not only to identify the therapeutic potential of active ingredients, but also to reveal their mechanism of action against IBV.MethodsThrough integrative systems pharmacology approaches, we systematically investigated Shuanghuanglian and its phytochemical constituents against IB, employing multi-omics analysis, ensemble machine learning, and all-atom molecular dynamics (MD) simulations. Network pharmacology revealed 65 target genes associated with Shuanghuanglian’s primary bioactive components (quercetin, kaempferol, wogonin, and luteolin), exhibiting high network centrality.ResultsUsing the TCMSP database, we found 65 target genes associated with key active components, such as quercetin and kaempferol, which exhibited strong connectivity in our network analysis. The GeneCards database also identified 40 common target genes shared by Shuanghuanglian and IB. Importantly, BCL2 and IL6 were recognized as key targets in the protein–protein interaction (PPI) network analysis, highlighting their roles in apoptosis and inflammation. Furthermore, analyses using Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways revealed significant roles in regulating the cell cycle and inflammatory responses. Machine learning techniques identified BCL2 and IL6 as critical genes for therapeutic intervention, supported by molecular docking results that showed strong binding energies. Furthermore, molecular dynamics simulations confirm the stability of the complexes, underscoring the importance of these interactions for treatment efficacy.ConclusionWe used a variety of analytical methods, and finally identified the potential active ingredients of Shuanghuanglian as kaempferol, quercetin, wogonin, and luteolin. The active ingredients target BCL2 and IL6 and play a therapeutic role in avian infectious bronchitis by inhibiting apoptosis and reducing inflammatory response. |
| format | Article |
| id | doaj-art-e2b2765dac2a4161b32ee542a9ffbfb7 |
| institution | OA Journals |
| issn | 2297-1769 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Veterinary Science |
| spelling | doaj-art-e2b2765dac2a4161b32ee542a9ffbfb72025-08-20T02:05:20ZengFrontiers Media S.A.Frontiers in Veterinary Science2297-17692025-03-011210.3389/fvets.2025.15578501557850Mechanistic investigation of Shuanghuanglian against infectious bronchitis in chickens: a network pharmacology and molecular dynamics studyFuming You0Hanzhao Zhang1Linghao Meng2Chuanhong Li3Yuxia Yang4Yongqiang Wang5Rigetu Zhao6Luomeng Chao7Luomeng Chao8Luomeng Chao9College of Animal Science and Technology, Inner Mongolia MINZU University, Tongliao, ChinaCollege of Animal Science and Technology, Inner Mongolia MINZU University, Tongliao, ChinaCollege of Animal Science and Technology, Inner Mongolia MINZU University, Tongliao, ChinaCollege of Computer Science and Technology, Inner Mongolia MINZU University, Tongliao, ChinaCollege of Computer Science and Technology, Inner Mongolia MINZU University, Tongliao, ChinaZhalantun Vocational College, Zhalantun, ChinaChifeng Academy of Agricultural and Animal Husbandry Sciences, Chifeng, ChinaCollege of Animal Science and Technology, Inner Mongolia MINZU University, Tongliao, ChinaInner Mongolia Rambo Testing Technology Limited Company, Tongliao, ChinaInner Mongolia Engineering Technology Research Center for Prevention and Control of Beef Cattle Diseases, Tongliao, ChinaIntroductionInfectious bronchitis (IB) poses a major challenge to global poultry production, causing substantial economic burdens and underscoring the necessity for novel therapeutic interventions given the limitations of current vaccines and conventional antiviral agents. The purpose of this study is to comprehensively explore the active components in Shuanghuanglian and their interaction with the key pathological targets of IBV (Infectious bronchitis virus) infection. By using advanced computational methods, this study aims not only to identify the therapeutic potential of active ingredients, but also to reveal their mechanism of action against IBV.MethodsThrough integrative systems pharmacology approaches, we systematically investigated Shuanghuanglian and its phytochemical constituents against IB, employing multi-omics analysis, ensemble machine learning, and all-atom molecular dynamics (MD) simulations. Network pharmacology revealed 65 target genes associated with Shuanghuanglian’s primary bioactive components (quercetin, kaempferol, wogonin, and luteolin), exhibiting high network centrality.ResultsUsing the TCMSP database, we found 65 target genes associated with key active components, such as quercetin and kaempferol, which exhibited strong connectivity in our network analysis. The GeneCards database also identified 40 common target genes shared by Shuanghuanglian and IB. Importantly, BCL2 and IL6 were recognized as key targets in the protein–protein interaction (PPI) network analysis, highlighting their roles in apoptosis and inflammation. Furthermore, analyses using Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways revealed significant roles in regulating the cell cycle and inflammatory responses. Machine learning techniques identified BCL2 and IL6 as critical genes for therapeutic intervention, supported by molecular docking results that showed strong binding energies. Furthermore, molecular dynamics simulations confirm the stability of the complexes, underscoring the importance of these interactions for treatment efficacy.ConclusionWe used a variety of analytical methods, and finally identified the potential active ingredients of Shuanghuanglian as kaempferol, quercetin, wogonin, and luteolin. The active ingredients target BCL2 and IL6 and play a therapeutic role in avian infectious bronchitis by inhibiting apoptosis and reducing inflammatory response.https://www.frontiersin.org/articles/10.3389/fvets.2025.1557850/fullinfectious bronchitisnetwork pharmacologyShuanghuanglianmachine learningmolecular dockingmolecular dynamics simulation |
| spellingShingle | Fuming You Hanzhao Zhang Linghao Meng Chuanhong Li Yuxia Yang Yongqiang Wang Rigetu Zhao Luomeng Chao Luomeng Chao Luomeng Chao Mechanistic investigation of Shuanghuanglian against infectious bronchitis in chickens: a network pharmacology and molecular dynamics study Frontiers in Veterinary Science infectious bronchitis network pharmacology Shuanghuanglian machine learning molecular docking molecular dynamics simulation |
| title | Mechanistic investigation of Shuanghuanglian against infectious bronchitis in chickens: a network pharmacology and molecular dynamics study |
| title_full | Mechanistic investigation of Shuanghuanglian against infectious bronchitis in chickens: a network pharmacology and molecular dynamics study |
| title_fullStr | Mechanistic investigation of Shuanghuanglian against infectious bronchitis in chickens: a network pharmacology and molecular dynamics study |
| title_full_unstemmed | Mechanistic investigation of Shuanghuanglian against infectious bronchitis in chickens: a network pharmacology and molecular dynamics study |
| title_short | Mechanistic investigation of Shuanghuanglian against infectious bronchitis in chickens: a network pharmacology and molecular dynamics study |
| title_sort | mechanistic investigation of shuanghuanglian against infectious bronchitis in chickens a network pharmacology and molecular dynamics study |
| topic | infectious bronchitis network pharmacology Shuanghuanglian machine learning molecular docking molecular dynamics simulation |
| url | https://www.frontiersin.org/articles/10.3389/fvets.2025.1557850/full |
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