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应用均匀设计-高通量筛选技术评价丹参有效单体成分抗氧化及海马神经细胞保护作用的最佳配伍 被引量:1

Screening the Optimal Combination Ratio of Active Radix Salviae Miltiorrhizae Ingredients for Their Antioxidant and Hippocampal Neurons Protection Effects Using Uniform Design-High Throughput Screening Technology
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摘要 目的:通过均匀设计-高通量筛选(uniform design-high throughput screening,UD-HTS)技术,对丹参多种有效单体成分进行多因素多水平配伍组合样品抗氧化及海马神经细胞保护作用的筛选。方法:具有生物活性的丹参多种有效单体(脂溶性7种和水溶性7种)。按照均匀设计方案,得到各单体之间不同浓度配比的组合样品,通过抗2,2-二苯基-1-苦肼基自由基(2,2-Di(4-tert-octylphenyl)-1-picrylhydrazyl,DPPH)氧化法和细胞学实验检测各组合样品药物活性。结果:通过初筛和复筛,得到A13、PA两个抗氧化及海马神经细胞保护作用最佳配伍组合样品。结论:均匀设计-高通量筛选技术可快速筛选出药效较好的组合样品,适合多因素多水平配比的大规模药物筛选。 Objective: To implement uniform design-high throughput screening (UD-HTS) technology for screening the antioxidant and hippocampal neurons protection activities of radix salviae miltiorrhizae (RSM) ingredients using multifactor and multilevel combination design. Methods: Bioactive ingredients of RSM (7 liposoluble and 7 water-soluble) were combined with different ratios through uniform design. The bioactivity of the combination samples were assessed by anti-DPPH oxidation activity method (screening) and cytological experiment (rescreening). Results: Two optimal combination samples of the antioxidant and hippocampal neurons protection, A13 and PA, were identified. Conclusion: UD-HTS technology is suitable for multifactor and multilevel screening, which can provide rapid screening of optimal combinations.
作者 金灿 张丹参
出处 《神经药理学报》 2013年第3期8-14,共7页 Acta Neuropharmacologica
基金 国家自然科学基金项目(No.81274005) 河北省自然科学基金项目(No.C2009001026)
关键词 丹参 均匀设计-高通量筛选 2 2-二苯基-1-苦肼基自由基 海马神经细胞 radix salviae miltiorrhizae uniform design-high throughput screening (UD- HTS) 2,2-Di (4-tert-octylphenyl )- 1 -picrylhydrazyl (DPPH) hippocamp al neurons
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  • 1宋志斌,张丹参.人参皂苷和三七皂苷五种成分神经保护作用的均匀设计-高通量筛选研究[J].神经药理学报,2011(3):7-15. 被引量:4
  • 2马增春,高月,谭洪玲,梁乾德,王升启.用分子中药组学技术研究四物汤补血的作用机理[J].世界科学技术-中医药现代化,2005,7(3):24-28. 被引量:38
  • 3唐启义,唐洁.偏最小二乘回归分析在均匀设计试验建模分析中的应用[J].数理统计与管理,2005,24(5):45-49. 被引量:60
  • 4Liu J, Pei M, Zheng C, et al. A systems-pharmacology analysis of herbal medicines used in health improvement treatment:predicting potential new drugs and targets[J]. Evid Based Complement Alternat Medi, 2013, doi:10.1155/2013/938764.
  • 5Liu H, Wang J, Zhou W, et al. Systems approaches and polypharmacology for drug discovery from herbal medicines:an example using licorice[J]. J Ethnopharmacol, 2013(146):773.
  • 6Zhao Z Z, Hu Y, Liang Z T, et al.Authenticationis fundamental for standardization of Chinese medicines[J]. Plant Med, 2006(72):865.
  • 7Sun C, Li Y, Wu Q, et al. De novo sequencing and analysis of the American ginseng root transcriptome using a GS FLX Titanium platform to discover putative genes involved in ginsenoside biosyn-thesis[J]. BMC Genomics, 2010, 11(1):262.
  • 8Wang X, Lv H, Sun H, et al. Metabolic urinary profiling of alcohol hepatotoxicity and intervention effects of Yin Chen Hao Tang in rats using ultra-performance liquid chromatography/electrospray ionization quadruple time-of-flight mass spectrometry[J]. J Pharm Biomed Anal, 2008, 48(4):1161.
  • 9Qiao X, Hou T, Zhang W, et al. A 3D structure database of components from Chinese traditional medicinal herbs[J]. J Chem Inf Comput Sci, 2002, 42(3):481.
  • 10Xue R, Fang Z, Zhang M, et al. TCMID:traditional Chinese medicine integrative database for herb molecular mechanism analysis[J]. Nucleic Acids Res, 2013, 41(D1):D1089.

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