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Quality evaluation of compound Chinese medicines as related to clinical efficacy / 药学学报
Acta Pharmaceutica Sinica ; (12): 3414-3420, 2021.
Article in Chinese | WPRIM | ID: wpr-906837
ABSTRACT
The quality evaluation of compound Chinese medicines is an important but challenging issue in this research field, which has been paid much controversial due to the constrained association with clinical efficacy. Developing a methodology for quality evaluation of compound Chinese medicines related to clinical efficacy is an important measure in research on Chinese material medica quality to ensure clinical effectiveness and safety. Therefore, based on the research concept that "originating from clinic-testing in experiment-returning to clinic", and taking Xiaoke prescription as an example, the characteristic information of metabolome, proteome and microbiome are discussed from the clinical aspect, and the integrated markers associated with clinical efficacy constructed with artificial intelligence technology. Taking the integrated markers as the link and indication are connecting the clinical and basic, the main pharmacodynamic substances and key targets of Xiaoke prescription that are related to clinical efficacy are explained. Clinical samples are used for validation. Based on the main pharmacodynamic substances and key targets, methods and key technologies for chemical and biological evaluation of the quality of Xiaoke prescription are established, providing a methodology for quality evaluation of compound Chinese medicines, including clinical efficacy response indicators (related to clinic), main pharmacodynamic substances (chemical evaluation), and key targets (biological evaluation), to provide new ideas and methods for improving the quality evaluation of compound Chinese medicines.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Acta Pharmaceutica Sinica Year: 2021 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Acta Pharmaceutica Sinica Year: 2021 Type: Article