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基于植物代谢组学方法区分安县附子与江油附子质量的化学标志物
引用本文:林俊芝,张定堃,裴瑾,黄浩洲,潘媛,许润春.基于植物代谢组学方法区分安县附子与江油附子质量的化学标志物[J].中国实验方剂学杂志,2017,23(13):35-40.
作者姓名:林俊芝  张定堃  裴瑾  黄浩洲  潘媛  许润春
作者单位:成都中医药大学 附属医院, 成都 610072,成都中医药大学 药学院 中药材标准化教育部重点实验室, 成都 611137;四川好医生攀西药业有限责任公司, 四川 西昌 615000,成都中医药大学 药学院 中药材标准化教育部重点实验室, 成都 611137;四川好医生攀西药业有限责任公司, 四川 西昌 615000,成都中医药大学 药学院 中药材标准化教育部重点实验室, 成都 611137,成都中医药大学 药学院 中药材标准化教育部重点实验室, 成都 611137,成都中医药大学 药学院 中药材标准化教育部重点实验室, 成都 611137
基金项目:国家自然科学基金项目(81403115);成都中医药大学科技发展基金项目(ZRQN1515)
摘    要:目的:采用超高效液相色谱联用飞行时间质谱(UPLC-Q-TOF/MS)代谢组学方法分析江油附子与安县附子的化学成分差异。方法:利用UPLC-Q-TOF/MS技术对江油附子与安县附子化学成分群进行采集,采用Mass Hunter B.05.00软件与Metabo Analyst 3.0软件进行数据过滤与标准化处理,经SIMCA-P 13.0软件进行多元统计分析,发现并鉴定出两者区分的显著性差异化合物。结果:经偏最小二乘法判别分析筛选得到16个差异化合物;新乌头碱、乌头碱、展花乌头宁、塔拉乌头胺、苯甲酰新乌头原碱、苯甲酰次乌头原碱、脱水苯甲酰新乌头原碱及新乌头原碱在安县附子中含量较江油附子更高,而尼奥林、附子灵、次乌头碱、塔拉他定、卡米查林、附子亭、宋果灵在江油附子中含量更高,这种差异的形成与两地的栽培条件差异有关。结论:安县附子的毒性更强、镇痛抗炎活性更强,江油附子的强心活性可能更强。

关 键 词:附子  植物代谢组学  多元统计分析  化学标志物  品质评价  毒性  药理活性
收稿时间:2017/2/5 0:00:00

Investigation of Quality Markers Between Aconiti Lateralis Radix Praeparata in Jiangyou and Anxian Based on Plant Metabolomics
LIN Jun-zhi,ZHANG Ding-kun,PEI Jin,HUANG Hao-zhou,PAN Yuan and XU Run-chun.Investigation of Quality Markers Between Aconiti Lateralis Radix Praeparata in Jiangyou and Anxian Based on Plant Metabolomics[J].China Journal of Experimental Traditional Medical Formulae,2017,23(13):35-40.
Authors:LIN Jun-zhi  ZHANG Ding-kun  PEI Jin  HUANG Hao-zhou  PAN Yuan and XU Run-chun
Institution:Teaching Hospital of Chengdu University of Traditional Chinese Medicine(TCM), Chengdu 610072, China,Key Laboratory of Standardization of Chinese Herbal Medicine, Ministry of Education, Pharmacy College, Chengdu University of TCM, Chengdu 611137, China;Sichuan Good Doctor Panxi Pharmaceutical Co. Ltd., Xichang 615000, China,Key Laboratory of Standardization of Chinese Herbal Medicine, Ministry of Education, Pharmacy College, Chengdu University of TCM, Chengdu 611137, China;Sichuan Good Doctor Panxi Pharmaceutical Co. Ltd., Xichang 615000, China,Key Laboratory of Standardization of Chinese Herbal Medicine, Ministry of Education, Pharmacy College, Chengdu University of TCM, Chengdu 611137, China,Key Laboratory of Standardization of Chinese Herbal Medicine, Ministry of Education, Pharmacy College, Chengdu University of TCM, Chengdu 611137, China and Key Laboratory of Standardization of Chinese Herbal Medicine, Ministry of Education, Pharmacy College, Chengdu University of TCM, Chengdu 611137, China
Abstract:Objective: To analyze difference of chemical ingredients between Aconiti Lateralis Radix Praeparata in Jiangyou and Anxian by UPLC-Q-TOF/MS. Method: UPLC-Q-TOF/MS was carried out to acquire chemical constituents informations from Aconiti Lateralis Radix Praeparata samples in Jiangyou and Anxian.High precise mass data were filtered and standardized processed by MassHunter B. 05.00 software and MetaboAnalyst 3.0 software,then these data were processed by multivariate statistical analysis techniques by SIMCA-P 13.0 software to discover and identify the constituents with significant difference. Result: Sixteen chemical markers with significant difference were screened by partial least squares discriminant analysis (PLS-DA).During which,the contents of mesaconitine,aconitine,chasmanine,talatisamine,benzoylmesaconitine,benzoylhypaconitine,dehydrated benzoylmesaconitine and mesaconine were higher in Aconiti Lateralis Radix Praeparata from Anxian,while the contents of neoline,fuziline,hypaconitine,talatidine,carmichaeline,fuzitine and songorine were much higher in Aconiti Lateralis Radix Praeparata from Jiangyou.The formation of this difference is related to the difference in cultivation conditions between these two places. Conclusion: Comprehensive analysis for the toxicity and activity of chemical markers in Aconiti Lateralis Radix Praeparata from these two places,the toxicity,analgesic and anti-inflammatory activity of samples in Anxian are much stronger,while the cardiac activity of samples in Jiangyou may be stronger.
Keywords:Aconiti Lateralis Radix Praeparata  plant metabolomics  multivariate statistical analysis  chemical markers  quality evaluation  toxicity  pharmacological activity
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