ORIGINAL RESEARCH article
Front. Plant Sci.
Sec. Plant Metabolism and Chemodiversity
Integrated network pharmacology-metabolomics deciphers therapeutic mechanisms of Fritillaria thunbergii Miq. in pneumonia treatment
Provisionally accepted- 1Ningbo University, Ningbo, China
- 2The First Affiliated Hospital of Ningbo University, Ningbo, China
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Pneumonia remains a leading global cause of mortality, underscoring the urgent need for novel therapeutic strategies amid rising drug-resistant pathogens and pandemic-related challenges. Fritillaria thunbergii Miq. (F. thunbergii Miq.), a traditional remedy for respiratory disorders, exhibits potential against pneumonia, yet its bioactive components and mechanistic underpinnings are poorly understood. This study integrated network pharmacology and metabolomics to elucidate material basis and therapeutic mechanisms of F. thunbergii Miq.. Through network pharmacology screening, eight core bioactive compounds and eleven key targets were identified, while nontargeted metabolomics revealed eight dysregulated metabolites associated with glutamine metabolism, inflammation, and oxidative stress. In LPS-induced acute lung injury mouse model, F. thunbergii Miq. and its component peimisine significantly alleviated lung injury and inflammation. Subsequent molecular docking validated peimisine’s binding affinity with critical targets (CASP3, MAPK14, ALB), supported by a Gene-Metabolite Interaction Network highlighting multi-targeted regulatory effects. These findings demonstrate that F. thunbergii Miq. mitigates pneumonia through modulation of glutamine metabolism, inflammatory pathways, and oxidative stress, providing a scientific foundation for its clinical application and future research.
Keywords: Traditional Chinese Medicine, Peimisine, glutamine metabolism, Inflammation, Gene-Metabolite Interaction Network, Fritillaria thunbergii Miq., Network Pharmacology, Metabolomics
Received: 30 Aug 2025; Accepted: 30 Oct 2025.
Copyright: © 2025 Tang, Hong, Zhu, Wang, Ren, Chu, Wang, Zhou and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Chunlan  Tang, chunlant@163.com
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