Quantification of plasma lipoprotein fractions by wavelet transform time-domain data processing of the proton nuclear magnetic resonance methylene spectral region

Simultaneous quantification of free and esterified cholesterol extracted from plasma by 13C NMR spectroscopy

“…It can be seen that there is an excellent correlation between the measured values and the expected concentrations (R 2 = 0.9998 for free cholesterol and to R 2 = 0.9987 for esterified cholesterol). This correlation compares very favourably with those usually obtained by 1 H NMR for global plasma analysis [3][4][5]. Thus, the cholesterol analytical method presented here enhances the precision available for the direct NMR analysis on crude samples.…”

“…Recently, new methods based on 1 H NMR have been developed, which permit direct measurements on blood plasma samples of their lipoprotein and lipid contents [3][4][5]. As described, however, these methods depend on the accuracy of the biochemical characterisation of the samples used for calibration and/or calculation of the NMR proton visibility for each lipoprotein.…”

“…Hence, this calibration needs to be particularly accurate. Nevertheless, in all the publications cited [3][4][5] the biochemical analysis was carried out using enzymatic kits, where only total cholesterol and cholesteryl ester weights were measured. The methods based on 1 H NMR have proved to be very powerful and the results obtained compare favourably with enzymatic kits.…”

Proposed minimum reporting standards for data analysis in metabolomics

“…In the realm of nuclear magnetic resonance (NMR), deconvolution may describe the separation of overlapping peaks either into individual resonances (e.g., lipoproteins from lactate in serum/plasma spectra (see for example Serrai et al 1998) or to metabolite lists using reference spectral libraries to aid deconvolution (for example Provencher 1993;Weljie et al 2006). In order to avoid confusion and to expand the process to encompass other methods of converting raw signal (from any measurement technology) into a list of quantitative metabolite concentrations, the term data transformation is preferred.…”

Quantification of Lipoprotein Subclasses by Proton Nuclear Magnetic Resonance–Based Partial Least-Squares Regression Models

“…The advantage of this method is that a plasma sample can be analyzed within a few minutes (11 ). Several studies have attempted to use this principle to quantify cholesterol and TGs in plasma, as well as in VLDL, LDL, and HDL, with high correlations to established methods (12)(13)(14). Only a few studies have attempted to quantify LDL and HDL subfractions, however, and they used either calibration curve resolution and integration (15 ) or a chemometric approach (16,17 ).…”