混合胶束色谱中喹诺酮类药物定量保留与活性关系预测模型的研究

伍丽萍, 李根, 叶利明, 李莉

中国药学杂志 ›› 2018, Vol. 53 ›› Issue (6) : 452-455.

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中国药学杂志 ›› 2018, Vol. 53 ›› Issue (6) : 452-455. DOI: 10.11669/cpj.2018.06.009
论 著

混合胶束色谱中喹诺酮类药物定量保留与活性关系预测模型的研究

  • 伍丽萍1, 李根1, 叶利明2, 李莉1
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Development of Predictive Quantitative Retention-Activity Relationship Models of Quinolones by Mixed Micellar Liquid Chromatography

  • WU Li-ping1, LI Gen1, YE Li-ming2, LI Li1
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摘要

目的 研究使用混合胶束流动相建立喹诺酮类抗生素定量保留-活性关系(QRAR)模型的优点与不足。方法 在生物分配胶束色谱的单一流动相中加入十二烷基硫酸钠形成混合胶束溶液(Brij35/SDS),根据混合胶束色谱(BMCBrij35/SDS)中所得容量因子(k)建立各参数的QRAR模型,并对模型进行自身评价。 结果 t1/2,CL,Vd和 AUC的BMCBrij35/SDS-QRAR模型在置信度95%的水平上有统计学意义(P<0.05),模型预测能力较优。结论 使用BMCBrij35/SDS建立喹诺酮类抗生素的定量保留-活性关系模型是可行的。混合胶束能够更好的模拟生理条件下细胞膜与药物之间的各种作用力,在药物分离及模拟生物膜研究领域具有广泛的应用前景。

Abstract

OBJECTIVE To obtain the adequate QRAR models of the half-life (t1/2), clearance(CL), volume of distribution (Vd) and area under concentration-time curve (AUC) of quinolones and elucidate the advantages and limitations of using mixed micellar liquid chromatography for describing and estimating the biological parameters. METHODS The BMCBrij35/SDS-QRAR models using mixed micellar system of Brij35/SDS (85∶15) as a mobile phase under adequate experimental conditions were developed for the biological parameter estimation of quinolones. The correlation between retention factors and biological activities was investigated using second order polynomial models. The predictive and interpretative ability of the chromatographic models was evaluated in terms of cross-validated data (RMSEC, RMSECV and RMSECVi). RESULTS The BMCBrij35/SDS-QRAR models of t1/2, CL, Vd and AUC were statistically significant and both interpolation and extrapolation of parameters were reasonably adequate. CONCLUSION The mixed micellar liquid chromatography can simulate the resting membrane potential and the conformation of the long hydrophilic polyoxyethylene chains, which may become a simple, economic, and highly reproducible option for establishing QRAR model.

关键词

定量保留-活性关系 / 生物分配胶束液相色谱 / 混合胶束流动相 / 喹诺酮类抗生素

Key words

quantitative retention-activity relationship / biopartioning micellar chromatography / mixed micellar system / quinolone

引用本文

导出引用
伍丽萍, 李根, 叶利明, 李莉. 混合胶束色谱中喹诺酮类药物定量保留与活性关系预测模型的研究[J]. 中国药学杂志, 2018, 53(6): 452-455 https://doi.org/10.11669/cpj.2018.06.009
WU Li-ping, LI Gen, YE Li-ming, LI Li. Development of Predictive Quantitative Retention-Activity Relationship Models of Quinolones by Mixed Micellar Liquid Chromatography[J]. Chinese Pharmaceutical Journal, 2018, 53(6): 452-455 https://doi.org/10.11669/cpj.2018.06.009
中图分类号: R917   

参考文献

[1] PIDGEON C, ONG S, LIU H, et al. IAM Chromatography:an in vitro screen for predicting drug membrane permeability[J]. J Med Chem, 1995, 38(4):590-594.
[2] QUINONES-TORRELO C, SAGRADO S, VILLANUEVA-CAMANAS RM, et al. Rrtention pharmacokinetic and pharmacodynamic parameter relationships of antihistamine drugs using biopartitioning micellar chromatography[J]. J Chromatogr B, 2001, 761:13-26.
[3] MOLERO M M, ESCUDER G L, VILLANAUEVA C R M, et al. Biopatitioning micellar chromatography:an in vitro technique for predicting human drug adsorption[J]. J Chromatogr B, 2001, 735:225-236.
[4] LAMBERT W J. Modeling oil-water partitioning and membrane permeation using reversed-phase chromatography[J]. J Chromatogr A, 1993, 656(1-2):469-484.
[5] MA T, YE L M, CHEN Y. The application of quantitative retention-activity relationship models in prediction of oral drug absorption and biological activity[J]. Asian J Drug Metab Pharmacokinet, 2004,4(4):251-254.
[6] WU L P, CUI Y, XIONG M J, et al. Mixed micellar liquid chromatography methods:modelling quantitative retention-activity relationships of angiotensin converting enzyme inhibitors[J]. Biomed Chromatogr, 2008, 22(11):1243-1251.
[7] CHEN Y, WU L P, CHEN C, et al. Development of predictive quantitative retention-activity relationship models of alkaloids by mixed micellar liquid chromatography[J]. Biomed Chromatogr, 2010, 24(2):195-201.
[8] BALON K, RIEBESEHL B U, MULLER B W. Drug liposome partitioning as a tool for the prediction of human passive intestinal absorption[J]. Pharm Res, 1999, 16:882.
[9] MAO J J,SUN J,HE Z G. Biopartitioning micellar chromatography:its application in evaluating drug membrane transport and activity[J]. Acta Pharm Sin(药学学报), 2005,40(10):865-870.
[10] WU L P, WANG S R, CHEN Y, et al. Study on quantitative retention-activity relationship models of β-lactam antibiotics by biopartitioning micellar chromatography[J]. Chin Pharm J(中国药学杂志), 2008,43(7):544-550.
[11] WANG S R, CHEN Y, WU L P, et al. Development of predictive quantitative retention-activity relationship models of HMG-CoA reductase inhibitors by biopartitioning micellar chromatography[J]. J Pharm Biomed Anal, 2008, 46(2):243-249.
[12] WU L P, YE L M, CHEN C, et al. Biopartitioning micellar chromatography separation methods:modelling quantitative retention-activity relationships of cephalosporins[J]. Biomed Chromatogr, 2008,22 (6):606-615.
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