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• W4280496674 abstract "Jiao-Ai Decoction (JAD), a classical traditional Chinese formula composed of seven Chinese herbs, has been widely used in clinical practice for the treatment of abortion for a long time. However, the material basis and pharmacological mechanism remain unclear. An integrative method combining ultra-performance liquid chromatography coupled with mass spectrometry (UPLC-MS/MS) analysis and therapeutic effect evaluation based on the hypothalamus-pituitary-ovarian axis (HPOA) was employed to elaborate these problems. Firstly, the chemical profile of JAD was identified by UPLC-Q-TOF-MS. Secondly, the main target ingredients from JAD were determined by UPLC-T-Q-MS. Finally, the miscarriage prevention of JAD on threatened abortion pregnant rats induced by mifepristone was investigated. Threatened abortion model in rats were replicated, uterine bleeding quantity (UBQ) and histopathological sections were measured, the contents of luteinizing hormone (LH), follicular stimulating hormone (FSH), estradiol (E2) and progesterone (P) were determined by ELISA, related genes and protein expression levels were detected by RT-PCR and western blotting. As a result, a total of 101 compounds were identified and 27 ingredients were determined to evaluate the quality of JAD. In the model rats, JAD could effectively regulate the HPOA to achieve miscarriage prevention, and the mechanism might be related to the regulation of gene and protein expression on the HPOA. This work could provide a novel and valuable approach for the quality evaluation of JAD and were expected to provide ideas and methods for the basic research on the scientific application of similar traditional Chinese medicine prescriptions." @default.
• W4280496674 created "2022-05-22" @default.
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• W4280496674 date "2022-08-01" @default.
• W4280496674 modified "2023-09-26" @default.
• W4280496674 title "Chemical profile and miscarriage prevention evaluation of Jiao-Ai Decoction, a classical traditional Chinese formula" @default.
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• W4280496674 doi "https://doi.org/10.1016/j.jpba.2022.114832" @default.
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