Quantification of lipoprotein profiles by nuclear magnetic resonance spectroscopy and multivariate data analysis

• DOI: 10.1016/j.trac.2017.07.009
• Publication Date: 2017-07-18T02:32:03Z
• Authors: Violetta Aru; Chloie Lam; Bekzod Khakimov; Huub C.J. Hoefsloot; Gooitzen Zwanenburg; Mads Vendelbo Lind; Hartmut Schäfer; John van Duynhoven; Doris M. Jacobs; Age K. Smilde; Søren B. Engelsen
• Keywords: 0301 basic medicine; HDL; Lipoprotein distribution; Multivariate regression; 540; IDL; LDL; 3. Good health; 03 medical and health sciences; Lipoprotein subfractions; Chylomicrons; /dk/atira/pure/core/keywords/TheFacultyOfScience; name=Faculty of Science; Faculty of Science; /dk/atira/pure/core/keywords/TheFacultyOfScience; Ultracentrifugation; VLDL; Nuclear magnetic resonance spectroscopy

Lipoproteins and their subfraction profiles have been associated to diverse diseases including Cardio Vascular Disease (CVD). There is thus a great demand for measuring and quantifying the lipoprotein profile in an efficient and accurate manner.Nuclear Magnetic Resonance (NMR) spectroscopy is uniquely able to measure the lipoprotein profile of a blood sample non-destructively due to its sensitivity to both lipid chemistry and lipid-micellar physics.However, the NMR spectra must be scaled/regressed to a primary method of reference, such as ultracentrifugation, using multivariate regression methods.This review provides an overview of the field and explains the methods at stake.