[Identification of tissue distribution components and mechanism of antipyretic effect of famous classical formula Dayuanyin].

Based on the ultra performance liquid chromatography-quadrupole Exactive Orbitrap mass spectrometry(UPLC-Q-Exactive Orbitrap-MS) technology, combined with related literature, databases, and reference material information, this study qualitatively analyzed the components of Dayuanyin in the tissue of rats after gavage and employed molecular docking technology to predict the rationality of the mechanism behind the antipyretic effect of the in vivo components in Dayuanyin. A total of 21, 26, 20, 21, 14, and 31 prototype components and 3, 16, 3, 7, 5, and 24 metabolites were identified from the heart, liver, spleen, lung, kidney, and hypothalamus of the rats, respectively, and the binding ability of key components and targets was further verified by molecular docking. The results showed that all components had good binding ability with targets. The established UPLC-Q-Exactive Orbitrap-MS could effectively and quickly identify the Dayuanyin components distributed in tissue and preliminarily identify their metabolites. Many components were identified in the hypothalamus, which suggested that the components delivered to the brain should be focused on in the study on Dayuanyin in the treatment of febrile diseases. The molecular docking technology was used to predict the rationality of the mechanism behind its antipyretic effect, which lays the foundation for the clarification of the material basis and action mechanism of Dayuanyin, the development of new preparations, and the prediction of quality markers.

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Publication Details

Journal
PubMed
Published
2025-05-01
DOI
https://doi.org/10.19540/j.cnki.cjcmm.20250209.201
Citations
1
Primary Topic
Healthcare and Venom Research
Type
article
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[Identification of tissue distribution components and mechanism of antipyretic effect of famous classical formula Dayuanyin].

Kai Xiao, Ming Su, Yujie Hou, Dandan Sun et al.
1 citations
PubMed
Healthcare and Venom Research
article

[Identification of tissue distribution components and mechanism of antipyretic effect of famous classical formula Dayuanyin].

Kai Xiao, Ming Su, Yujie Hou, Dandan Sun, Shan-Xin Liu, Hui Zhang, Yuqing Wang, Xinrui Li, Lijie Wang, Xinjun Zhang, Jian-Yun Bi
article en
1 citations

Abstract

Based on the ultra performance liquid chromatography-quadrupole Exactive Orbitrap mass spectrometry(UPLC-Q-Exactive Orbitrap-MS) technology, combined with related literature, databases, and reference material information, this study qualitatively analyzed the components of Dayuanyin in the tissue of rats after gavage and employed molecular docking technology to predict the rationality of the mechanism behind the antipyretic effect of the in vivo components in Dayuanyin. A total of 21, 26, 20, 21, 14, and 31 prototype components and 3, 16, 3, 7, 5, and 24 metabolites were identified from the heart, liver, spleen, lung, kidney, and hypothalamus of the rats, respectively, and the binding ability of key components and targets was further verified by molecular docking. The results showed that all components had good binding ability with targets. The established UPLC-Q-Exactive Orbitrap-MS could effectively and quickly identify the Dayuanyin components distributed in tissue and preliminarily identify their metabolites. Many components were identified in the hypothalamus, which suggested that the components delivered to the brain should be focused on in the study on Dayuanyin in the treatment of febrile diseases. The molecular docking technology was used to predict the rationality of the mechanism behind its antipyretic effect, which lays the foundation for the clarification of the material basis and action mechanism of Dayuanyin, the development of new preparations, and the prediction of quality markers.

PubMedVol. 50(10)
Shandong University of Traditional Chinese Medicine (CN), Affiliated Hospital of Shandong University of Traditional Chinese Medicine (CN), Shandong Academy of Chinese Medicine (CN)
Healthcare and Venom Research
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