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Acta Pharmaceutica Sinica ; (12): 2445-2452, 2022.
Article in Chinese | WPRIM | ID: wpr-937059


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.

Acta Pharmaceutica Sinica ; (12): 1471-1476, 2022.
Article in Chinese | WPRIM | ID: wpr-924753


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.

China Journal of Chinese Materia Medica ; (24): 5341-5350, 2021.
Article in Chinese | WPRIM | ID: wpr-921681


The present study investigated the therapeutic efficacy and potential mechanism of Jinqi Jiangtang Tablets(JQJT) on pancreatic β cell dysfunction based on network pharmacology and molecular docking technology. TCMSP platform was used to retrieve the chemical components and targets of the three Chinese herbal medicines of JQJT. The genes were converted to gene symbol by the UniProt, and its intersection with targets related to pancreatic β cell function in GeneCards and CTD databases was obtained. The drugs, active components and common targets were imported into Cytoscape 3.8.2 to plot the drug-component-target network. The main effective components and targets were obtained by software analysis. The drug targets and targets related to pancreatic β cell function were imported separately into the STRING platform for the construction of protein-protein interaction(PPI) networks. The two PPI networks were merged by Cytoscape 3.8.2 and the key targets were obtained by plug-in CytoNCA. The targets obtained from drug-component-target network and PPI networks were imported into DAVID for GO analysis and KEGG enrichment analysis. AutoDock was used to carry out molecular docking of main active components and core targets and Pymol was used to plot the molecular docking diagram. The results showed that there were 371 active components and 203 targets related to JQJT and 2 523 targets related to pancreatic β cell damage, covering 136 common targets. The results revealed core targets(such as PTGS2, PTGS1, NOS2, ESR1 and RXRA) and effective key components(such as quercetin, kaempferol, luteolin, β-carotene and β-sitosterol). KEGG enrichment analysis indicated that apoptosis, inflammation, and other signaling pathways were mainly involved. Molecular docking results showed that the main active components could spontaneously bind to the targets. This study preliminarily revealed the mechanism of JQJT in improving pancreatic β cell damage through multi-component, multi-target and multi-pathway, and provided a theoretical basis for JQJT in the treatment of pancreatic β cell dysfunction.

Drugs, Chinese Herbal/pharmacology , Insulin-Secreting Cells , Medicine, Chinese Traditional , Molecular Docking Simulation , Tablets , Technology
Acta Pharmaceutica Sinica ; (12): 3414-3420, 2021.
Article in Chinese | WPRIM | ID: wpr-906837


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.