The quantitative analysis of multiple indexes remains an important quality evaluation method of traditional Chinese medicine (TCM) herbal formulas. The Chinese Pharmacopoeia 2015 only stipulates the content of a single component, specnuezhenide, in Erzhiwan composed of the Fructus Ligustri Lucidi (FLL) powder and aqueous extracts of Herba Ecliptae (HE). To generalize the intrinsic quality of Erzhiwan, a novel C30-HPLC method with good precision, accuracy, and reproducibility was developed for the simultaneous determination of six compounds, including two isomers, and then an analytic hierarchy process was further applied to integrate and discriminate the quality of four samples prepared via different methods. The results of the analysis were in agreement with the antioxidant tests in vitro. This comprehensive strategy could provide a reference and suggestions for the improvement of the quality evaluation method of TCM herbal formulas.Keywords:analytic hierarchy process;C30-HPLC;Erzhiwan;herbal formula;quality evaluation
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.
Objective Identifying novel strategies to prevent particulate matter (PM)-induced lung injury is crucial for the reduction of the morbidity of chronic respiratory diseases. The combined intervention represented by herbal formulae for simultaneously targeting multiple pathological processes can provide a more beneficial effect than the single intervention. The aim of this paper is therefore to design a safe and effective medicinal and edible Chinese herbs (MECHs) formula against PM-induced lung injury. Methods PM-induced oxidative stress, inflammatory response and apoptosis A549 cell model were used to screen anti-oxidant, anti-inflammatory and anti-apoptotic MECHs, respectively. A network pharmacology method was utilized to rationally design a novel herbal formula. Ultra performance liquid chromatography-mass spectrometer was utilized to assess the quality control of MECHs formula. The excretion of magnetic iron oxide nanospheres of the MECHs formula was estimated in zebrafish. The MECH formula against PM-induced lung injury was investigated with mice experiments. Results Five selected herbs were rationally designed to form a new MECH formula, including Citri Exocarpium Rubrum (Juhong), Lablab Semen Album (Baibiandou), Atractylodis Macrocephalae Rhizoma (Baizhu), Mori Folium (Sangye) and Polygonati Odorati Rhizoma (Yuzhu). The formula effectively promoted the magnetic iron oxide nanospheres excretion in zebrafish. The mid/high dose formula significantly prevented PM-induced lung damage in mice by enhancing the activity of SOD and GSH-Px, reducing the MDA and ROS level and attenuating the upregulation of pro-inflammatory cytokine (IL-6, IL-8, IL-1β and TNF-α), down regulating the protein expression of NF-κB, STAT3 and Caspase-3. Conclusion Our findings suggest that the effective MECHs formula will become a novel strategy for preventing PM-induced lung injury and provide a paradigm for the development of functional foods using MECHs.