Otvos J D, Jeyarajah E J, Bennett D W
Department of Chemistry, University of Wisconsin-Milwaukee 53201.
Clin Chem. 1991 Mar;37(3):377-86.
A new analytical procedure for quantifying plasma lipoproteins by proton nuclear magnetic resonance (NMR) spectroscopy has been developed that potentially offers significant advantages over existing clinical methods used for assessing risk of coronary heart disease. Analysis of a single spectrum of a nonfasting plasma sample, acquired simply and rapidly at moderate magnetic field strength (250 MHz), yields a complete profile of lipoprotein concentrations: chylomicrons and very-low-, low-, and high-density lipoproteins. The method is based on curve-fitting (spectral deconvolution) of the plasma methyl lipid resonance envelope, the amplitude and shape of which depend directly on the amplitudes of the superimposed methyl resonances of the lipoprotein components. A linear least-squares curve-fitting algorithm was developed to efficiently extract the signal amplitudes (concentrations) of the lipoproteins from the plasma spectrum. These signal amplitudes correlate well with lipoprotein concentrations determined by triglyceride and cholesterol measurements.
已开发出一种通过质子核磁共振（NMR）光谱法定量血浆脂蛋白的新分析程序，与用于评估冠心病风险的现有临床方法相比，该程序可能具有显著优势。在中等磁场强度（250 MHz）下简单快速地采集非空腹血浆样品的单光谱分析，可得出脂蛋白浓度的完整图谱：乳糜微粒以及极低密度、低密度和高密度脂蛋白。该方法基于血浆甲基脂质共振包络的曲线拟合（光谱解卷积），其幅度和形状直接取决于脂蛋白成分叠加甲基共振的幅度。开发了一种线性最小二乘曲线拟合算法，以有效地从血浆光谱中提取脂蛋白的信号幅度（浓度）。这些信号幅度与通过甘油三酯和胆固醇测量确定的脂蛋白浓度密切相关。
