NEAR-IR SPECTRA OF LIPOPROTEINS AND APOLIPOPROTEINS

几乎所有的有机化合物，包括脂蛋白和 载脂蛋白，有一个近红外光谱，区分它与其他 化合物. 近红外光谱法可有效地用于分析 血清脂蛋白和胆固醇。 胆固醇是由广泛的 各种脂蛋白颗粒，包括高密度脂蛋白（HDL） 和低密度脂蛋白（LDL）颗粒。 准确分析血清 胆固醇是识别个体风险的关键， 动脉粥样硬化性心血管疾病和实施有效的 治疗方案。 传统的分析方法允许 总胆固醇和主要形式之间的区别， 胆固醇在血液中运输，高密度脂蛋白和低密度脂蛋白。 但这些 方法在几个方面受到限制。 首先，在许多实验室中， 分析方法充满了错误;据报道， 报告的HDL值中有33%不准确。 第二，非常广泛 分析间的变异性促使一些研究人员提出， 为了获得有意义的结果，可能需要进行10次重复分析。 最后，常规方法不提供关于以下的信息： 载脂蛋白（A-I，A-II，B-100），这些蛋白被吹捧为更敏感 心血管风险的预测因子，而不是胆固醇、HDL或LDL。 在此背景下，我们现在提出一种快速，新颖的方法，血清 近红外光谱法测定脂蛋白 为了提高胆固醇测量的准确性， 载脂蛋白沿着与HDL和LDL的测定， 大幅度提高战略的成本效益， 胆固醇筛查 该建议将测试以下假设：（1）近红外 光谱法能够区分胆固醇、HDL、LDL和胆固醇。 人血清中的载脂蛋白A-I、A-II和B，并且能够定量 这些分析物迅速，同时，（2），一个新的平行 超级计算机方法提供了比现有模式更精确的分析， 识别技术，（3）轨道不对称校准导致 必须重新分类的错误识别样本， 光谱同化和精确多组分血清分析（4）， 近红外/并行计算机方法提供了精确的分析， 全血和血清中的脂蛋白和载脂蛋白（5）， 近红外和声共振光谱联用产生 脂蛋白和载脂蛋白的改进分析， 错误分类的样本

Virtually every organic compound, including lipoproteins and apolipoproteins, has a near-IR spectrum that distinguishes it from other compounds. Near-IR spectrometry can be employed profitably in the analysis of serum lipoproteins and cholesterol. Cholesterol is carried in a wide variety of lipoprotein particles, including high-density lipoprotein (HDL) and low-density lipoprotein (LDL) particles. Accurate analysis of serum cholesterol is essential for identification of individuals at risk for arteriosclerotic cardiovascular disease and for implementation of effective therapeutic regimens. Conventional analytical approaches allow discrimination between total cholesterol and the principal forms in which cholesterol is transported in the blood, HDL and LDL. However, these methods are limited on several accounts. First, in many laboratories the analytical methods are fraught with error; it has been reported that up to 33% of the reported HDL values are inaccurate. Second, exceedingly wide interassay variability has prompted some investigators to suggest that up to ten replicate analyses may be necessary to obtain a meaningful result. Finally, the conventional methods provide no information about apolipoproteins (A-I, A-II, B-100) which have been touted as more sensitive predictors of cardiovascular risk than either cholesterol, HDL or LDL. Against this background, we now propose a rapid, novel method of serum lipoprotein determination based on near-IR spectrometry with the potential to increase the accuracy of cholesterol measurement, to permit determination of apolipoproteins along with HDL and LDL, and to dramatically improve the cost-effectiveness of strategies for widespread cholesterol screening. This proposal will test the following hypotheses: (1) that near-IR spectrometry is capable of differentiating among cholesterol, HDL, LDL, and apolipoproteins A-I, A-II, and B in human sera, and capable of quantifying these analytes rapidly and simultaneously, (2) that a new parallel supercomputer method provides more accurate analyses than existing pattern- recognition techniques, (3) that orbital asymmetry in calibration leads to misidentified samples that must be reclassified to achieve adequate spectral assimilation and accurate multicomponent serum analysis (4) that the near-IR/parallel computer method provides accurate assays of lipoproteins and apolipoproteins in whole blood as well as serum (5) that hyphenation of near-IR and acoustic-resonance spectrometries yields improved analyses of lipoproteins and apolipoproteins with fewer misclassified samples.