Human serum/plasma lipoprotein analysis by NMR: Application to the study of diabetic dyslipidemia

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Introduction

NMR spectroscopy is an analytical technique used in the profiling of blood. Depending on the sample preparation method, it is used to examine either serum or plasma. With this technique it is possible to obtain the spectra of the most abundant chemical components such as lipoproteins, aminoacids, organic acids, carbohydrates and albumin with minimum sample preparation [1], [2]. NMR has proven to be a straightforward and useful technique for the qualitative and quantitative measurement of lipoproteins, giving the cholesterol and triglyceride concentration [3], [4], as well as the number of subfraction particles and their size [5]. This is a great achievement because even though the behavior of the different lipoprotein subfractions is modulated by their size, the overlap between them in the spectra is severe, and sophisticated deconvolution algorithms are required for data analysis [6].

The importance of NMR spectroscopy as an analytical tool for metabolomic studies with biological fluids, especially for serum and plasma samples, can be clearly assessed by considering the relevant literature during the past few years. Since the year 2000, the ISI Web of Science lists more than 500 papers on the subject (and more than 130 in 2011). These papers deal with NMR spectroscopy, metabolomics and serum/plasma. Human serum/plasma NMR measurements have been applied, for example, to monitor changes in the organization of lipids within particle density subclasses [7], to assess diabetes studies [8], [9], [10], to study the effects of exercise on lipoprotein profiles [11], to monitor changes in lipids induced by diet therapies [12], [13], to assess cholesterol-lowering drugs [14], [15] and to investigate dyslipidemias associated with HIV/AIDS therapy [16], [17], [18], among others. The serum/plasma NMR measurement is also a highly valued tool in scientific experiments on animal models (rats, mice, etc.) that aim to assess the effects of drug/diet intervention [12], [13]. However, in most of these publications, the information extracted from spectra about lipoproteins is rather qualitative [1].

The Adult Treatment Panel Guidelines of the National Cholesterol Education Program and, more recently, the European Societies of Cardiology and Atherosclerosis have established low-density lipoprotein cholesterol (LDL-C) treatment goals, and secondary non-high-density lipoprotein (HDL-C) treatment goals for people with hypertriglyceridemia, but these risk factors are unable to predict cardiovascular events in individuals with “apparently” normal lipid levels. These events are frequently found in individuals with such metabolic disorders as obesity and diabetes mellitus [19]. This means that lipoprotein characterization needs to be more sophisticated, and justifies the advent of the advanced lipoprotein tests (ALT), a set of techniques that enable the lipoprotein to be subfractionated and the lipids from the different subfractions to be measured. In this context, Liposcience Inc. has recently received 510(k) clearance from the U.S. Food and Drug Administration to market the Vantera(R) Clinical Analyzer. It’s the first NMR-based diagnostic platform that is commercially available for in vitro diagnostic use, consisting in the determination of the low density lipoprotein particle number (LDL-P). If cleared, it would become the first 121 NMR-based diagnostic platform to be commercially available for in vitro diagnostic use. If this trend continues, NMR spectrometry will become the reference technique for the determination of such cardiovascular risk factors associated with lipids as low-density lipoprotein particle numbers (in particular LDL-P). There is still some controversy about the clinical utility of the ALT (i.e. LDL and HDL subfractionation) [20], [21], one of the greatest impediments being the lack of standardization in the characterization techniques. Ala-Korpela’s group, very active in the area since the mid 90s, reported in 2009 an NMR-based high-throughput analytical method for serum profiling, which can quantify up to 130 metabolites, lipids and 14 subfraction lipoproteins [2]. This analytical platform has turned out to be very useful in epidemiological cohort studies [22], [23], [24], and has found associations in wide-genome studies.

Recently, some articles have been published and patents filed that directly relate to the use of diffusion NMR spectroscopy for the characterization of lipoproteins [25], [26]. The application of magnetic gradients in the z-direction attenuates the diffusion of the smaller lipoproteins more strongly. Therefore, for low gradients all the lipoprotein response is present, but for high gradients only those of the larger lipoproteins are observed. Using this technique, the lipoprotein diffusion coefficients can be determined experimentally and, according to the Einstein–Stokes law, these values can give a direct estimation of the lipoprotein radii. However, at the moment the approach has not been perfected and cannot give reliable and meaningful results for clinical applications.

The aim of this review is to help researchers interested in serum/plasma-based NMR analysis of lipoproteins for clinical diagnostics, metabolomic studies, etc. We provide comprehensive information about all the steps needed to characterize lipoproteins by NMR spectroscopy. In Section 2.1 there is an introduction to lipoproteins and their role in metabolism and the clinical importance of lipoprotein characterization for assessing risk factors important for cardiovascular diseases (CVD). Because diabetic patients are one of the target groups for ALT, Section 2.2 gives an explanation about diabetic dyslipidemia. Section 2.3 discusses the clinical utility of the “new biomarkers” measured by ALT. The state of the art of these techniques is reviewed in the same section. Section 3 describes all the NMR measurement procedures used for serum/plasma, giving information about blood collection and conservation procedures and also about the pulses used. Diffusion-edited NMR pulses will be reviewed in detail because they enhance the NMR signal from lipoproteins and eliminate the signal from small metabolites. The reader will find a detailed discussion of the advantages and disadvantages of the various pulses used in diffusion NMR. As has been mentioned above, extracting the information about the lipoproteins from the lipid peaks in NMR spectra (i.e. methyl or methylene) is not straightforward, so we will make a detailed review of the various signal processing strategies. We group them in three main approaches: (a) curve fitting methods, which are based on a mathematical deconvolution of the peak to extract new features from the lipid peak(s) that will then be used as inputs for multivariate analysis; (b) correlation statistical methods, where the points of the original lipid peak envelop are considered to be input features for further processing algorithms since these methods do not deconvolute the peak; and (c) diffusion NMR methods. In this subsection, we will consider all the studies made of 2D diffusion NMR, regardless of whether there has been a deconvolution process or only a statistical correlation used in the analysis. Finally, in Section 5, the application of NMR lipoprotein analysis in diabetes will be reviewed in detail and Section 6 will draw the final conclusions and discuss the future outlook.

Section snippets

Lipoproteins and the lipoprotein metabolism

Lipids are key molecules for life [27]. For instance, triacylglycerols provide energy for metabolic processes, and fatty acids, cholesterol and phospholipids are part of cell membranes that, as well as having a role as precursors of hormone molecules are also constituents of the central nervous system and genetic signal modulators. However, their hydrophobic chemical structure makes them incompatible with an aqueous medium like blood. In order for lipids to circulate throughout the blood stream

Main characteristics of serum/plasma NMR analysis

As has been shown in the sections above, measuring lipids in plasma and serum is of great interest since it enables abnormal metabolic levels, and unusual cholesterol and triglyceride transport mechanisms to be highlighted, and it provides valuable clues for clinical diagnosis. Detailed information about the lipids in biological fluids can be obtained by rapid total lipid 1H NMR profiling without the need to apply complicated sample preparation procedures. However, the results will be rendered

Curve fitting methods for 1H NMR serum/plasma spectra

Since the beginning of the 1990s [108], two groups have taken huge strides in the analysis of NMR lipoprotein profiles. The first group, led by Otvos, created and perfected the LipoProfile® test, which was made commercially available in 1997 by Liposcience Inc. And the second group, led by Ala-Korpela, has been making in-depth studies of the possibilities of 1H NMR in the analysis of lipoproteins and the use of NMR spectra in the assessment of risk factors in population studies. In this section

NMR lipoprotein analysis in the study of diabetes and related diseases

The aim of this section is to summarize some of the main applications of NMR spectroscopy in the study of lipoproteins in diabetes and related metabolic diseases. Some articles in the literature discuss some of these studies [6], [19], [150]. Our aim here is to discuss the results of various studies that have tried to characterize diabetes using either the LipoProfile® Test or the platform developed by Ala-Korpela for serum analysis. This is expected to serve as a guide for future studies so

Final conclusions

Each NMR spectrum from a serum/plasma sample contains a wealth of information about lipoproteins. NMR spectroscopy is the only technique that allows a full lipoprotein subfraction analysis of serum/plasma samples. On the basis of the various analysis methods reported in Section 4, we conclude that the data they provide enable the lipid concentration (mainly for cholesterol and triglycerides), and particle numbers and sizes for several subfractions (typically between 9 and 14) to be correctly

Acknowledgements

R.M. acknowledges the Universitat Rovira i Virgili for its Ph.D. Scholarship. We acknowledge CIBER de Diabetes y Enfermedades Metabólicas Asociadas (ISCIII, Ministerio de Ciencia e Innovación), for partially funding this work, as well as the FIS (Project PI 081409).

Glossary

ACQ
acquisition
AIDS
acquired immunodeficiency syndrome
ALT
advanced lipoprotein tests
ANN
Artificial Neural Network
APO
apolipoprotein
BPP
bipolar pulse pairs
C
cholesterol
CAD
coronary artery disease
CE
cholesterol ester
CETP
cholesterol ester transport protein
CHD
cardiovascular heart disease
CIBERDEM
Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas
CM
chylomicrons
CVD
cardiovascular disease
CPMG
Carr–Purcell–Meiboom–Gill
DETOCSY
diffusion-edited total correlation spectroscopy
DIRE

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