Zhe Chen,Guangli Yan,Yu Yang,Hui Sun,Aihua Zhang,Ying Han,Shugui Wang,Xijun Wang
Naoling Pian is a prescription composed of 15 herbs, which is mainly used for the treatment of insomnia in clinical practice. However, the chemical constituents in Naoling Pian are numerous and unclear, which hinders the interpretation of its bioactive constituents and the subsequent research on the material basis for pharmacodynamics. The purpose of this study is to develop a rapid method for identifying the chemical constituents of Naoling Pian using high-throughput ultra-performance liquid chromatography quadrupole time of flight coupled with mass spectrometry combined with a software platform for data processing. The whole composition of Naoling Pian was characterized in positive and negative ion modes. In this experiment, an overall total of 201 constituents were identified by using reference standards, online and self-built databases matching, fragmentation rules analysis of mass spectrometry peaks with a software platform. Meanwhile, Naoling Pian was analyzed for the first time using liquid chromatography–mass spectrometry method, the constituents could be identified in a quick and accurate manner, and the results could provide a scientific basis for the follow-up research on the pharmacodynamic material basis and quality control of Naoling Pian.
Yu Yang,Zhe Chen,Guangli Yan,Ling Kong,Le Yang,Hui Sun,Ying Han,Jie Zhang,Xijun Wang
Insomnia is an accompanying symptom of many diseases and is closely associated with neurodegenerative diseases. Naoling Pian (NLP) is a patented Chinese medicine mainly used to treat insomnia. To evaluate the sedative and hypnotic effects of NLP and its modulatory effects on biological metabolites and metabolic pathways, rats with p-chlorophenylalanine (PCPA)-induced insomnia were given different doses of NLP by oral gavage for seven days. Diazepam (DZP) served as a positive control. Behavior was measured using the open field test, and neurotransmitter levels in the brain tissue related to sleep were measured using ELISA. The metabolic profiles and biomarkers of PCPA-induced insomnia in rats before and after NLP administration were analyzed using UPLC-Q/TOF-MS combined with multivariate data analysis. The results showed that the levels of 5-hydroxytryptamine, gamma-aminobutyric acid, norepinephrine, and dopamine in the brain tissue were significantly recovered in the NLP treatment groups, demonstrating similar or even superior therapeutic effects compared to the DZP group. The behavior of the PCPA-model rats partially recovered to normal levels after seven days of treatment. Metabolomics identified 30 metabolites in the urine as potential biomarkers of insomnia, and NLP significantly altered 25 of these, involving 21 metabolic pathways. NLP has a remarkable effect on insomnia, the therapeutic effects of which may be largely due to the rectification of metabolic disturbances. This is the first study of the sedative and hypnotic effects of NLP from a metabolomic perspective.
危险品化学品经营许可证（带存储）