ORIGINAL RESEARCH article
Front. Cell. Infect. Microbiol.
Sec. Virus and Host
Volume 15 - 2025 | doi: 10.3389/fcimb.2025.1585293
This article is part of the Research TopicPrevalence and Transmission of Emerging and Replicating Animal VirusesView all articles
Systems Pharmacology-Based Optimization of Ma Xing Shi Gan Components for the Enhanced Treatment of Chick Health Issues Caused by Infectious Bronchitis Virus
Provisionally accepted
- 1College of Animal Science and Technology, Guangxi University, Nanning, China
- 2Hunan Provincial Key Laboratory of the Traditional Chinese Medicine Agricultural Biogenomics, Changsha Medical University, Hunan, China
- 3College of Veterinary Medicine, Hunan Agricultural University, Changsha, Hunan Province, China
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Infectious bronchitis virus (IBV) severely impacts the poultry industry, causing substantial economic losses. This study utilized the Traditional Chinese Medicine Inheritance Computing Platform (TCMICS) to collect clinical prescriptions for IBV treatment. Based on these data, two optimized versions of the traditional Chinese medicine Maxing Shigan Decoction (MXSG), MXSG-mix1 and MXSG-mix2, were developed. In vitro and in vivo experiments, covering egg testing, clinical symptoms, immune function, and viral load, confirmed their efficacy against IBV. Liquid chromatography-mass spectrometry (LC-MS) and network pharmacology were used to analyze the composition of MXSG-mix and explore its anti-IBV mechanisms. Results showed that MXSG-mix targets multiple pathways. Compared with traditional MXSG, MXSG-mix demonstrated superior anti-IBV efficacy. Molecular docking and RT-qPCR results suggested that MXSG-mix may act on AKT1 and CASP3 and downregulate BCL2 expression, providing insights into its anti-IBV mechanism. This integrated approach of TCMICS, LC-MS, and network pharmacology offers a new research paradigm for Chinese veterinary medications.
Keywords: Infectious bronchitis virus, Traditional Chinese Medicine Inheritance Computing Platform, Vitro and in vivo experiments, liquid chromatography-mass spectrometry, Network Pharmacology
Received: 28 Feb 2025; Accepted: 19 Jun 2025.
Copyright: © 2025 Liu, He, Wang, Wei, Chen and Wang. 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:
Jiayi Chen, Hunan Provincial Key Laboratory of the Traditional Chinese Medicine Agricultural Biogenomics, Changsha Medical University, Hunan, China
Kaijun Wang, College of Veterinary Medicine, Hunan Agricultural University, Changsha, Hunan Province, China
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