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作 者:朱旭婷[1] 冯江江[1] 谢莲[1] 牟红元[1] 吕天[1,2] 谢洪平[1]
机构地区:[1]苏州大学药学院,江苏苏州215123 [2]苏州工业园区生物产业发展有限公司,江苏苏州215123
出 处:《抗感染药学》2012年第4期264-267,共4页Anti-infection Pharmacy
基 金:国家自然科学基金项目(编号:81001686)
摘 要:目的:研究基于惩罚岭型线性判别分析(PRLDA)对乙酰氨基酚(APAP)为肝毒性模型药物,与传统的主成分分析(PCA)比较建立的代谢组学模型的方法学。方法:应用APAP对大鼠肝毒性造模,利用UPLC-MS检测尿液样本,以总离子流色谱为毒性表达变量,运用PRLDA和PCA分别建立APAP肝毒性代谢组学模型。结果:在PRLDA代谢组学模型中,APAP组明显偏离正常组,可以直观看出正常组与模型组的类间差异,具有较强的分类能力;而PCA的分类能力较差。结论:PRLDA代谢组学模型的建立能准确、灵敏地表达药物毒性,并且该方法优于PCA模型。Objective: To Compare with the principal component analysis (PCA), the methodology of establishing metabolomics model by penalized ridge-type linear discriminant analysis (PRLDA) would be studied based on the liver toxicity of the model drug acetaminophen (APAP). Methods: The rat liver toxicity model was made by using APAP. The rats' urine samples collected were detected by using UPLC-MS. With total ion chromatogram as a variable of ex- pressing toxicity, the metabolomics model on liver toxicity of acetaminophen was established by PRLDA and PCA sep- arately. Results: In the PRLDA metabolomics model, APAP group was deviated from the normal group obviously, and there was a large degree of the difference between the normal group and APAP group. There was a strong classification ability for PRLDA metabolomics model and a poor one for PCA one. Conclusion : The PRLDA metabolomics model could express the drug toxicity accurately and sensitively, and it is better than the PCA model.
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