GuiLingJi(GLJ),a classic traditional Chinese medicine(TCM)formula,is composed of over 20 herbs,according to the Pharmacopeia of the People's Republic of China.Owing to its various activities,GLJ has been used in c...GuiLingJi(GLJ),a classic traditional Chinese medicine(TCM)formula,is composed of over 20 herbs,according to the Pharmacopeia of the People's Republic of China.Owing to its various activities,GLJ has been used in clinical settings for more than 400 years in China.However,the ambiguous chemical material basis limits the development of studies on the quality control and pharmacological mechanisms of GLJ.Therefore,comprehensive characterization of the multiple chemical components of GLJ is of great significance for the modernization of this formula.Given the great variety of herbs in GLJ,both UHPLCMS and ^(1)H NMR techniques were employed in this study.In addition,solvent extraction with different polarities was used to eliminate signal interference and the concentration of trace components.A variety of MS analytic methods were also used,including implementation of a self-built compound database,diagnostic ion filtering,mass defect filtering,and Compound Discoverer 3.0 analysis software.Based on the above strategies,a total of 150 compounds were identified,including 5 amino acids,13 phenolic acids and glycosides,11 coumarins,72 flavones,20 triterpenoid and triterpenoid saponins,23 fatty acids,and 6 other compounds.Moreover,13 compounds were identified by ^(1)H NMR spectroscopy.The UHPLC-MS and ^(1)H NMR results supported and complemented each other.This strategy provides a rapid approach to analyzing and identifying the chemical composition of Chinese herbal prescriptions.The current study provides basis for further research on the quality control and pharmacological mechanism of GLJ.展开更多
目的探究龟龄集对阿尔茨海默病(Alzheimer’s disease,AD)小鼠皮层和海马Fas/FasL表达及神经元凋亡的影响。方法构建AD小鼠模型,小鼠随机分为对照组、模型组、多奈哌齐组及龟龄集低、中、高剂量组。Morris水迷宫检测干预前后小鼠的学习...目的探究龟龄集对阿尔茨海默病(Alzheimer’s disease,AD)小鼠皮层和海马Fas/FasL表达及神经元凋亡的影响。方法构建AD小鼠模型,小鼠随机分为对照组、模型组、多奈哌齐组及龟龄集低、中、高剂量组。Morris水迷宫检测干预前后小鼠的学习记忆能力;HE染色检测小鼠皮层、海马神经元病理学改变情况;TUNEL染色检测神经元凋亡情况;Western印迹及Real time PCR分别检测Fas、FasL的蛋白表达水平及mRNA表达水平。结果与模型组比较,龟龄集各组和多奈哌齐组小鼠学习记忆能力明显提高(P<0.05),皮层和海马神经元病理学损害及神经元凋亡改善(P<0.05),Fas、FasL蛋白和mRNA水平下降(P<0.05)。结论龟龄集可能通过抑制Fas/FasL表达抑制AD模型小鼠皮层、海马神经元凋亡,并改善其学习记忆能力。展开更多
基金support from the Shanxi Provincial Science and Technology Key Research and Development Plan(Grant Nos.:201603D3113006 and 201903D311012)。
文摘GuiLingJi(GLJ),a classic traditional Chinese medicine(TCM)formula,is composed of over 20 herbs,according to the Pharmacopeia of the People's Republic of China.Owing to its various activities,GLJ has been used in clinical settings for more than 400 years in China.However,the ambiguous chemical material basis limits the development of studies on the quality control and pharmacological mechanisms of GLJ.Therefore,comprehensive characterization of the multiple chemical components of GLJ is of great significance for the modernization of this formula.Given the great variety of herbs in GLJ,both UHPLCMS and ^(1)H NMR techniques were employed in this study.In addition,solvent extraction with different polarities was used to eliminate signal interference and the concentration of trace components.A variety of MS analytic methods were also used,including implementation of a self-built compound database,diagnostic ion filtering,mass defect filtering,and Compound Discoverer 3.0 analysis software.Based on the above strategies,a total of 150 compounds were identified,including 5 amino acids,13 phenolic acids and glycosides,11 coumarins,72 flavones,20 triterpenoid and triterpenoid saponins,23 fatty acids,and 6 other compounds.Moreover,13 compounds were identified by ^(1)H NMR spectroscopy.The UHPLC-MS and ^(1)H NMR results supported and complemented each other.This strategy provides a rapid approach to analyzing and identifying the chemical composition of Chinese herbal prescriptions.The current study provides basis for further research on the quality control and pharmacological mechanism of GLJ.
文摘目的探究龟龄集对阿尔茨海默病(Alzheimer’s disease,AD)小鼠皮层和海马Fas/FasL表达及神经元凋亡的影响。方法构建AD小鼠模型,小鼠随机分为对照组、模型组、多奈哌齐组及龟龄集低、中、高剂量组。Morris水迷宫检测干预前后小鼠的学习记忆能力;HE染色检测小鼠皮层、海马神经元病理学改变情况;TUNEL染色检测神经元凋亡情况;Western印迹及Real time PCR分别检测Fas、FasL的蛋白表达水平及mRNA表达水平。结果与模型组比较,龟龄集各组和多奈哌齐组小鼠学习记忆能力明显提高(P<0.05),皮层和海马神经元病理学损害及神经元凋亡改善(P<0.05),Fas、FasL蛋白和mRNA水平下降(P<0.05)。结论龟龄集可能通过抑制Fas/FasL表达抑制AD模型小鼠皮层、海马神经元凋亡,并改善其学习记忆能力。
