Objective To establish gas chromatography-mass spectrometry(GC-MS)fingerprint method for the petroleum ether fraction of Shenqi Jiangtang Granules(SQJTG)and evaluate the product quality.Methods The GC-MS fingerprint o...Objective To establish gas chromatography-mass spectrometry(GC-MS)fingerprint method for the petroleum ether fraction of Shenqi Jiangtang Granules(SQJTG)and evaluate the product quality.Methods The GC-MS fingerprint of petroleum ether fraction of SQJTG was established by GC-MS,and the chemical components corresponding to the fingerprint peaks were structurally identified on NIST2014.The batch consistency of SQJTG products was evaluated based on the chemical composition of petroleum ether parts by using fingerprint similarity evaluation and Principal components analysis(PCA)technology.At the same time,Hotelling's T2 and DMODX statistics are used to set the control range for the quality of different batches of products.Results Twenty-two components were identified from the petroleum ether part of SQJTG,accounting for 60.94%of the total components separated.The similarity of fingerprints of petroleum ether parts of 24 batches of SQJTG was greater than 0.95.The PCA of 24 batches of samples were all under the control limits of Hotellin’s T2 and DMODX statistics,indicating that the petroleum ether parts of different batches of SQJTG were consistent.Conclusion The developed GC-MS fingerprint method can be used to evaluate the quality of SQJTG.展开更多
目的基于网络药理学方法和体内实验验证探讨荆防颗粒治疗高尿酸血症的作用机制。方法通过中药系统药理学数据库与分析平台(TCMSP)筛选荆防颗粒活性成分对应靶点,通过OMIM、GeneCards和TTD等数据库收集高尿酸血症相关靶点。将交集靶点上...目的基于网络药理学方法和体内实验验证探讨荆防颗粒治疗高尿酸血症的作用机制。方法通过中药系统药理学数据库与分析平台(TCMSP)筛选荆防颗粒活性成分对应靶点,通过OMIM、GeneCards和TTD等数据库收集高尿酸血症相关靶点。将交集靶点上传至STRING数据平台构建蛋白质-蛋白质相互作用(protein-protein interaction,PPI)网络,再采用Metascape数据平台进行基因本体(gene ontology,GO)功能和京都基因与基因组百科全书(Kyoto encyclopedia of genes and genomes,KEGG)通路富集分析。采用氧嗪酸钾诱导的高尿酸血症小鼠模型和小鼠肾脏代谢组学对网络药理学结果进行验证。结果网络药理学结果表明,荆防颗粒109个成分中含有500个相关靶点,高尿酸血症相关靶点801个,交集靶点87个。PPI网络分析结果显示,甘油醛-3-磷酸脱氢酶(glyceraldehyde-3-phosphate dehydrogenase,GAPDH)、肿瘤蛋白p53(tumor protein p53,TP53)、肿瘤坏死因子(tumor necrosis factor,TNF)、半胱氨酸天冬氨酸蛋白酶-3(cystein-asparate protease-3,Caspase-3)、白细胞介素-6(interleukin-6,IL-6)可能是荆防颗粒治疗高尿酸血症的关键靶点。KEGG通路富集分析获得凋亡信号通路、坏死性凋亡、低氧诱导因子-1(hypoxia-inducible factor-1,HIF-1)信号通路等。通过氧嗪酸钾诱导的高尿酸血症小鼠模型结果显示,荆防颗粒显著降低血清尿酸、尿素氮及血肌酐水平(P<0.01、0.001),显著抑制肾组织Bcl-2相关X蛋白(Bcl-2 associated X protein,Bax)、cleaved Caspase-3蛋白表达(P<0.01),升高B细胞淋巴瘤(B-cell lymphoma-2,Bcl-2)蛋白表达(P<0.05、0.01)。肾脏代谢组学结果显示,荆防颗粒能够通过改善高尿酸血症小鼠丙氨酸、天冬氨酸和谷氨酸的代谢、糖酵解/糖异生途径、柠檬酸循环等途径改善代谢。结论荆防颗粒能够基于多成分、多靶点、多通路的特点相互协同治疗高尿酸血症。展开更多
基金We thank for the funding support from the National Key Research and Development Program of China(No.2019YFC1711200).
文摘Objective To establish gas chromatography-mass spectrometry(GC-MS)fingerprint method for the petroleum ether fraction of Shenqi Jiangtang Granules(SQJTG)and evaluate the product quality.Methods The GC-MS fingerprint of petroleum ether fraction of SQJTG was established by GC-MS,and the chemical components corresponding to the fingerprint peaks were structurally identified on NIST2014.The batch consistency of SQJTG products was evaluated based on the chemical composition of petroleum ether parts by using fingerprint similarity evaluation and Principal components analysis(PCA)technology.At the same time,Hotelling's T2 and DMODX statistics are used to set the control range for the quality of different batches of products.Results Twenty-two components were identified from the petroleum ether part of SQJTG,accounting for 60.94%of the total components separated.The similarity of fingerprints of petroleum ether parts of 24 batches of SQJTG was greater than 0.95.The PCA of 24 batches of samples were all under the control limits of Hotellin’s T2 and DMODX statistics,indicating that the petroleum ether parts of different batches of SQJTG were consistent.Conclusion The developed GC-MS fingerprint method can be used to evaluate the quality of SQJTG.
文摘目的基于网络药理学方法和体内实验验证探讨荆防颗粒治疗高尿酸血症的作用机制。方法通过中药系统药理学数据库与分析平台(TCMSP)筛选荆防颗粒活性成分对应靶点,通过OMIM、GeneCards和TTD等数据库收集高尿酸血症相关靶点。将交集靶点上传至STRING数据平台构建蛋白质-蛋白质相互作用(protein-protein interaction,PPI)网络,再采用Metascape数据平台进行基因本体(gene ontology,GO)功能和京都基因与基因组百科全书(Kyoto encyclopedia of genes and genomes,KEGG)通路富集分析。采用氧嗪酸钾诱导的高尿酸血症小鼠模型和小鼠肾脏代谢组学对网络药理学结果进行验证。结果网络药理学结果表明,荆防颗粒109个成分中含有500个相关靶点,高尿酸血症相关靶点801个,交集靶点87个。PPI网络分析结果显示,甘油醛-3-磷酸脱氢酶(glyceraldehyde-3-phosphate dehydrogenase,GAPDH)、肿瘤蛋白p53(tumor protein p53,TP53)、肿瘤坏死因子(tumor necrosis factor,TNF)、半胱氨酸天冬氨酸蛋白酶-3(cystein-asparate protease-3,Caspase-3)、白细胞介素-6(interleukin-6,IL-6)可能是荆防颗粒治疗高尿酸血症的关键靶点。KEGG通路富集分析获得凋亡信号通路、坏死性凋亡、低氧诱导因子-1(hypoxia-inducible factor-1,HIF-1)信号通路等。通过氧嗪酸钾诱导的高尿酸血症小鼠模型结果显示,荆防颗粒显著降低血清尿酸、尿素氮及血肌酐水平(P<0.01、0.001),显著抑制肾组织Bcl-2相关X蛋白(Bcl-2 associated X protein,Bax)、cleaved Caspase-3蛋白表达(P<0.01),升高B细胞淋巴瘤(B-cell lymphoma-2,Bcl-2)蛋白表达(P<0.05、0.01)。肾脏代谢组学结果显示,荆防颗粒能够通过改善高尿酸血症小鼠丙氨酸、天冬氨酸和谷氨酸的代谢、糖酵解/糖异生途径、柠檬酸循环等途径改善代谢。结论荆防颗粒能够基于多成分、多靶点、多通路的特点相互协同治疗高尿酸血症。