Data-Independent Acquisition-Based Quantitative Proteomics, Nontargeted Metabolomics, and Protein-Ligand Interaction Reveal the Mechanism of Baicalin Inhibiting βhemolytic/cytolytic Activities of .
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| Autori principali: | , , , , , , , , , , , |
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| Natura: | Artículo científico |
| Lingua: | en |
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Journal of agricultural and food chemistry
2026
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| _version_ | 1868266039415930881 |
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| author | Li, Guihua Liu, Shaolong Zhao, Zichen Shuli, Jundi Xiang, Mingli Wang, Yan Sun, Yun Zhong, Zhihong Wang, Shifeng Zhang, Chen Guo, Weiliang Zhou, Yongcan |
| author_facet | Li, Guihua Liu, Shaolong Zhao, Zichen Shuli, Jundi Xiang, Mingli Wang, Yan Sun, Yun Zhong, Zhihong Wang, Shifeng Zhang, Chen Guo, Weiliang Zhou, Yongcan Li, Guihua Liu, Shaolong Zhao, Zichen Shuli, Jundi Xiang, Mingli Wang, Yan Sun, Yun Zhong, Zhihong Wang, Shifeng Zhang, Chen Guo, Weiliang Zhou, Yongcan |
| collection | PubMed - marine biology |
| contents | Data-Independent Acquisition-Based Quantitative Proteomics, Nontargeted Metabolomics, and Protein-Ligand Interaction Reveal the Mechanism of Baicalin Inhibiting βhemolytic/cytolytic Activities of . Li, Guihua Liu, Shaolong Zhao, Zichen Shuli, Jundi Xiang, Mingli Wang, Yan Sun, Yun Zhong, Zhihong Wang, Shifeng Zhang, Chen Guo, Weiliang Zhou, Yongcan Flavonoids Proteomics Streptococcus agalactiae Bacterial Proteins Molecular Docking Simulation Metabolomics Ligands Anti-Bacterial Agents Phosphorylation Protein Serine-Threonine Kinases Baicalin, a natural compound, inhibits β-hemolytic/cytolytic (β-h/c) activity, but its molecular mechanism remains unclear. We integrated DIA quantitative proteomics, untargeted metabolomics, and protein-ligand interaction analysis to elucidate this mechanism. Ninety differentially expressed proteins and 21 differential metabolites were identified. KEGG enrichment showed 19 overlapping pathways, 8 involved in β-h/c biosynthesis. RT-qPCR confirmed significant downregulation of β-h/c biosynthetic genes. Molecular docking revealed the strongest binding of baicalin to serine/threonine kinase Stk1 (Vina score of -10.0), as confirmed by molecular dynamics simulation. The interaction was further validated by DARTS, DSF, and ITC. Site-directed mutagenesis identified Val93, Thr153, and Asp154 in Stk1's kinase domain as key binding residues. phosphorylation assays showed that baicalin inhibited Stk1-mediated CovR phosphorylation at T65, Y70, and T85, which underlies its inhibition of β-h/c activity. This study deepens understanding of baicalin's mechanism and provides a basis for its development as a bacterial virulence inhibitor. |
| format | Artículo científico |
| id | pubmed_42246869 |
| institution | PubMed |
| language | en |
| publishDate | 2026 |
| publisher | Journal of agricultural and food chemistry |
| record_format | pubmed |
| spellingShingle | Data-Independent Acquisition-Based Quantitative Proteomics, Nontargeted Metabolomics, and Protein-Ligand Interaction Reveal the Mechanism of Baicalin Inhibiting βhemolytic/cytolytic Activities of . Li, Guihua Liu, Shaolong Zhao, Zichen Shuli, Jundi Xiang, Mingli Wang, Yan Sun, Yun Zhong, Zhihong Wang, Shifeng Zhang, Chen Guo, Weiliang Zhou, Yongcan Flavonoids Proteomics Streptococcus agalactiae Bacterial Proteins Molecular Docking Simulation Metabolomics Ligands Anti-Bacterial Agents Phosphorylation Protein Serine-Threonine Kinases Data-Independent Acquisition-Based Quantitative Proteomics, Nontargeted Metabolomics, and Protein-Ligand Interaction Reveal the Mechanism of Baicalin Inhibiting βhemolytic/cytolytic Activities of . Li, Guihua Liu, Shaolong Zhao, Zichen Shuli, Jundi Xiang, Mingli Wang, Yan Sun, Yun Zhong, Zhihong Wang, Shifeng Zhang, Chen Guo, Weiliang Zhou, Yongcan Flavonoids Proteomics Streptococcus agalactiae Bacterial Proteins Molecular Docking Simulation Metabolomics Ligands Anti-Bacterial Agents Phosphorylation Protein Serine-Threonine Kinases Baicalin, a natural compound, inhibits β-hemolytic/cytolytic (β-h/c) activity, but its molecular mechanism remains unclear. We integrated DIA quantitative proteomics, untargeted metabolomics, and protein-ligand interaction analysis to elucidate this mechanism. Ninety differentially expressed proteins and 21 differential metabolites were identified. KEGG enrichment showed 19 overlapping pathways, 8 involved in β-h/c biosynthesis. RT-qPCR confirmed significant downregulation of β-h/c biosynthetic genes. Molecular docking revealed the strongest binding of baicalin to serine/threonine kinase Stk1 (Vina score of -10.0), as confirmed by molecular dynamics simulation. The interaction was further validated by DARTS, DSF, and ITC. Site-directed mutagenesis identified Val93, Thr153, and Asp154 in Stk1's kinase domain as key binding residues. phosphorylation assays showed that baicalin inhibited Stk1-mediated CovR phosphorylation at T65, Y70, and T85, which underlies its inhibition of β-h/c activity. This study deepens understanding of baicalin's mechanism and provides a basis for its development as a bacterial virulence inhibitor. |
| title | Data-Independent Acquisition-Based Quantitative Proteomics, Nontargeted Metabolomics, and Protein-Ligand Interaction Reveal the Mechanism of Baicalin Inhibiting βhemolytic/cytolytic Activities of . |
| topic | Flavonoids Proteomics Streptococcus agalactiae Bacterial Proteins Molecular Docking Simulation Metabolomics Ligands Anti-Bacterial Agents Phosphorylation Protein Serine-Threonine Kinases |
| url | https://pubmed.ncbi.nlm.nih.gov/42246869/ |