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DOI 10.1016/j.jchromb.2022.123356

Медицинская библиотека · Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2022

Identification of bioactive ingredients from Babaodan using UPLC-QTOF-MS analysis combined with network pharmacology guided bioassays.

Sheng Hongda, Li Yufei, Liu Wei, Wang Yingchao, Wang Shufang, Zhan Zhixue, Lai Zhicheng, Guan Bin, Qiang Shifa, Qian Jing, Wang Yi

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Аннотация

Babaodan (BBD) is a traditional Chinese medicine (TCM) prescribed for various inflammatory diseases, including viral hepatitis and acute genitourinary tract infection. Like other TCMs, BBD is a multi-component formula whose chemical composition and mode of action are largely unknown. The current study identified the bioactive ingredients of BBD using ultrahigh-performance liquid chromatography combined with quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) followed by mass spectrometry molecular networking analysis. Subsequently, network pharmacology analysis was performed to predict the potential targets and pathways regulated by BBD. Eventually, a panel of compounds was selected and examined for their anti-inflammatory effects using lipopolysaccharide-stimulated RAW264.7 cells. Eighty-six compounds, including saponins, bile acids, and fatty acids, were identified. Tumor necrosis factor-alpha was identified as a key molecule. Pathways in cancer, inflammatory bowel disease, and hepatitis were predicted to be the major regulatory pathways. The results from bioassays validated ginsenoside Rb1, ginsenoside Rd, deoxycholic acid, chenodeoxycholic acid, and taurochenodeoxycholic acid as novel bioactive ingredients in BBD with anti-inflammatory effects. In conclusion, our study explains the anti-inflammatory efficacy of BBD from both chemical and biological aspects, which provides a scientific basis for the clinical application of BBD in inflammation-related diseases.

Для цитирования: Sheng Hongda, Li Yufei, Liu Wei, Wang Yingchao, Wang Shufang, Zhan Zhixue, Lai Zhicheng, Guan Bin, Qiang Shifa, Qian Jing, Wang Yi. Identification of bioactive ingredients from Babaodan using UPLC-QTOF-MS analysis combined with network pharmacology guided bioassays.. Journal of chromatography. B, Analytical technologies in the biomedical and life sciences. 2022. DOI: 10.1016/j.jchromb.2022.123356.

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