The inherent accuracy of ¹H NMR spectroscopy to quantify plasma lipoproteins is subclass dependent

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• 作者：Mika Ala-Korpela ; Niko Lankinen ; Aino Salminen ; Teemu Suna ; Pasi Soininen ; Reino Laatikainen ; Petri Ingman ; Matti Jauhiainen ; Marja-Riitta Taskinen ; K&#xe1 ; roly H&#xe9 ; berger ; et al.
• 关键词：¹H NMR spectroscopy ; Lipoprotein subclass ; Quantification ; Plasma ; Serum ; Coronary heart disease
• 刊名：Atherosclerosis
• 出版年：2007
• 期刊代码：28_00219150
• 类别：med
• 出版时间：February 2007
• 卷：190
• 期：2
• 页码：352-358
• 文件大小：633 K

摘要

Proton NMR spectroscopy as a means to quantify lipoprotein subclasses has received wide clinical interest. The experimental part is a fast routine procedure that contrasts favourably to other lipoprotein measurement protocols. The difficulties in using ¹H NMR, however, are in uncovering the subclass specific information from the overlapping data. The NMR-based quantification has been evaluated only in relation to biochemical measures, thereby leaving the inherent capability of NMR rather vague due to biological variation and diversity among the biochemical experiments. Here we will assess the use of ¹H NMR spectroscopy of plasma per se. This necessitates data for which the inherent parameters, namely the shapes and areas of the ¹H NMR signals of the subclasses are available. This was achieved through isolation and ¹H NMR experiments of 11 subclasses—VLDL1, VLDL2, IDL, LDL1, LDL2, LDL3, HDL_2b, HDL_2a, HDL_3a, HDL_3b and HDL_3c—and the subsequent modelling of the spectra. The subclass models were used to simulate biochemically representative sets of spectra with known subclass concentrations. The spectral analyses revealed 10-fold differences in the quantification accuracy of different subclasses by ¹H NMR. This finding has critical significance since the usage of ¹H NMR methodology in the clinical arena is rapidly increasing.