摘要
The joint application of traditional Chinese medicine injection containing chlorogenic acid (CA) and cefotaxime sodium (CS) is sometimes appeared in clinical practice, but the scientific basis of drug molecular compatibility is still weak. This study proposes a sequential analysis strategy based on isothermal titration calorimetry (ITC), cold-spray ionization mass spectrometry (CSI-MS) and antibacterial activity test to evaluate the molecular interactions between CA and CS. The results of ITC experiments showed that the Gibbs free energy ΔG < 0 and it was driven by enthalpy change when CA titrated CS, suggesting CA could spontaneously chemically react with CS. Subsequently, the parent ions (m/z 808.143 5) of binding molecular of CA and CS was detected by CSI-MS, indicating CA could chemically bond with CS. Furtherly, the antibacterial experiments found the antibacterial ability of CS against Klebsiella pneumonia was significantly reduced (P < 0.01) by CA in mixed solution. Finally, molecular docking technology showed CA and CS have a common target of penicillin binding protein 3 (PBP3), suggesting that the phenomenon of CA reduced the antibacterial ability of CS may be related to the competitive binding of two components with PBP3. Our studies have shown that CA could spontaneously chemically bond to CS and reduced its antibacterial ability, providing scientific data for molecular interaction evaluation of CA and CS.
摘要
The combination of Shuanghuanglian injection (SHLI) and ciprofloxacin injection (CIPI) is frequently prescribed in clinical practice, but the basis for the combination is weak. In this study, isothermal titration calorimetry and ultraviolet-visible absorption spectrometry were applied to identify the molecular interactions of SHLI and its main components, chlorogenic acid and neochlorogenic acid with CIPI. Scanning electron microscopy, Fourier-transform infrared spectroscopy, and cold-spray ionization mass spectrometry were performed to confirm that this molecular interaction was related to the formation of self-assembled supramolecular systems induced by chlorogenic acid and neochlorogenic acid with CIPI through weak intermolecular bonds. The antibacterial activity toward Pseudomonas aeruginosa (P. aeruginosa) was evaluated via molecular interactions, and the inhibitory ability of SHLI, chlorogenic acid and neochlorogenic acid against P. aeruginosa was significantly reduced after interaction with CIPI. A molecular docking study demonstrated that the reduced antibacterial ability was closely related to the competitive binding of drug molecules to the same binding site of the DNA gyrase B (GyrB) subunit of P. aeruginosa. The present study uncovered the intermolecular interactions of SHLI and its main components chlorogenic acid and neochlorogenic acid with CIPI from the perspective of molecular self-assembly and contribute to the reduction of its antibacterial ability, providing a basis for the clinical combination of SHLI and CIPI.
摘要
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.
摘要
Drug combination is a common clinical phenomenon. However, the scientific implementation of drug combination is li-mited by the weak rational evaluation that reflects its clinical characteristics. In order to break through the limitations of existing evaluation tools, examining drug-to-drug and drug-to-target action characteristics is proposed from the physical, chemical and biological perspectives, combining clinical multicenter case resources, domestic and international drug interaction public facilities with the aim of discovering the common rules of drug combination. Machine learning technology is employed to build a system for evaluating and predicting the rationality of clinical drug combinations based on "drug characteristics-repository information-artificial intelligence" strategy, which will be debugged and validated in multi-center clinical practice, with a view to providing new ideas and technical references for the safety and efficacy of clinical drug use.
Subject(s)
Artificial Intelligence , Drug Combinations , Machine Learning , Technology摘要
The prescription of clinical curative effect has promoted the formation and development of the dominant diseases in traditional Chinese medicine, but it has been controversial for a long time because its mechanism has not been effectively explained. Breaking the gap between animal/cell research and clinical research, and understanding the mechanism of dominant diseases in traditional Chinese medicine based on evidence-based medicine has become an important breakthrough in this scientific issue. Therefore, based on evidence-based medicine, we established the research concept that "originating from clinic, testing in experiment, returning to clinic". Taking the classic formula (Jinqi Jiangtang formula) treating diabetes as an example to find characteristic markers of diabetes supported by evidence-based medicine from clinic. We used the reverse analysis strategy of the response of characteristic markers to explore the intervention mechanism of Jinqi Jiangtang formula on characteristic markers. Then, we verified the key signaling molecules of the metabolic regulation of the Jinqi Jiangtang formula in clinic. The research ideas and key technologies for the mechanism of treatment of diabetes by Jinqi Jiangtang formula based on evidence-based medicine are formed, and it is expected to provide research reference for explaining the mechanism of dominant diseases in traditional Chinese medicine based on evidence-based medicine.