Plasma phospholipid metabolic profiling and biomarkers of type 2 diabetes mellitus based on high-performance liquid chromatography/electrospray mass spectrometry and multivariate statistical analysis.
Plasma phospholipid metabolic profiling and biomarkers of type 2 diabetes mellitus based on high-performance liquid chromatography/electrospray mass spectrometry and multivariate statistical analysis.
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DOI：
10.1021/ac0481001
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发表时间：
2005-05
影响因子：
7.4
通讯作者：
Chang Wang;Hongwei Kong;Yufeng Guan;Jun Yang;J. Gu;Shengli Yang;Guowang Xu
中科院分区：
文献类型：
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作者：
Chang Wang;Hongwei Kong;Yufeng Guan;Jun Yang;J. Gu;Shengli Yang;Guowang Xu
液相色谱/质谱联用（LC/MS）结合多元统计分析已成功地应用于2型糖尿病（DM-2）患者的血浆磷脂代谢分析。主成分分析和偏最小二乘判别分析（PLS-DA）模型进行了测试，并在DM 2和控制之间的类分离进行了比较。正交信号校正滤波模型的应用大大提高了PLS-DA模型的类别区分和预测能力。此外，还测试了单位方差缩放。利用这种方法，不仅可以区分DM 2与对照，而且可以发现和鉴定潜在的生物标志物与LC/MS/MS。所提出的方法表明，LC/MS结合多元统计分析是一种补充或替代NMR代谢组学应用。
Liquid chromatography/mass spectrometry (LC/MS) followed by multivariate statistical analysis has been successfully applied to the plasma phospholipids metabolic profiling in type 2 diabetes mellitus (DM-2). Principal components analysis and partial least-squares discriminant analysis (PLS-DA) models were tested and compared in class separation between the DM2 and control. The application of an orthogonal signal correction filtered model highly improved the class distinction and predictive power of PLS-DA models. Additionally, unit variance scaling was also tested. With this methodology, it was possible not only to differentiate the DM2 from the control but also to discover and identify the potential biomarkers with LC/MS/MS. The proposed method shows that LC/MS combining with multivariate statistical analysis is a complement or an alternative to NMR for metabonomics applications.