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      Reduced Apolipoprotein Glycosylation in Patients with the Metabolic Syndrome

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          Abstract

          Objective

          The purpose of this study was to compare the apolipoprotein composition of the three major lipoprotein classes in patients with metabolic syndrome to healthy controls.

          Methods

          Very low density (VLDL), intermediate/low density (IDL/LDL, hereafter LDL), and high density lipoproteins (HDL) fractions were isolated from plasma of 56 metabolic syndrome subjects and from 14 age-sex matched healthy volunteers. The apolipoprotein content of fractions was analyzed by one-dimensional (1D) gel electrophoresis with confirmation by a combination of mass spectrometry and biochemical assays.

          Results

          Metabolic syndrome patients differed from healthy controls in the following ways: (1) total plasma - apoA1 was lower, whereas apoB, apoC2, apoC3, and apoE were higher; (2) VLDL - apoB, apoC3, and apoE were increased; (3) LDL - apoC3 was increased, (4) HDL -associated constitutive serum amyloid A protein (SAA4) was reduced (p<0.05 vs. controls for all). In patients with metabolic syndrome, the most extensively glycosylated (di-sialylated) isoform of apoC3 was reduced in VLDL, LDL, and HDL fractions by 17%, 30%, and 25%, respectively (p<0.01 vs. controls for all). Similarly, the glycosylated isoform of apoE was reduced in VLDL, LDL, and HDL fractions by 15%, 26%, and 37% (p<0.01 vs. controls for all). Finally, glycosylated isoform of SAA4 in HDL fraction was 42% lower in patients with metabolic syndrome compared with controls (p<0.001).

          Conclusions

          Patients with metabolic syndrome displayed several changes in plasma apolipoprotein composition consistent with hypertriglyceridemia and low HDL cholesterol levels. Reduced glycosylation of apoC3, apoE and SAA4 are novel findings, the pathophysiological consequences of which remain to be determined.

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          Most cited references48

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          Newly identified loci that influence lipid concentrations and risk of coronary artery disease.

          To identify genetic variants influencing plasma lipid concentrations, we first used genotype imputation and meta-analysis to combine three genome-wide scans totaling 8,816 individuals and comprising 6,068 individuals specific to our study (1,874 individuals from the FUSION study of type 2 diabetes and 4,184 individuals from the SardiNIA study of aging-associated variables) and 2,758 individuals from the Diabetes Genetics Initiative, reported in a companion study in this issue. We subsequently examined promising signals in 11,569 additional individuals. Overall, we identify strongly associated variants in eleven loci previously implicated in lipid metabolism (ABCA1, the APOA5-APOA4-APOC3-APOA1 and APOE-APOC clusters, APOB, CETP, GCKR, LDLR, LPL, LIPC, LIPG and PCSK9) and also in several newly identified loci (near MVK-MMAB and GALNT2, with variants primarily associated with high-density lipoprotein (HDL) cholesterol; near SORT1, with variants primarily associated with low-density lipoprotein (LDL) cholesterol; near TRIB1, MLXIPL and ANGPTL3, with variants primarily associated with triglycerides; and a locus encompassing several genes near NCAN, with variants strongly associated with both triglycerides and LDL cholesterol). Notably, the 11 independent variants associated with increased LDL cholesterol concentrations in our study also showed increased frequency in a sample of coronary artery disease cases versus controls.
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            Metabolic syndrome and risk of cardiovascular disease: a meta-analysis.

            The use of different definitions of the metabolic syndrome has led to inconsistent results on the association between the metabolic syndrome and risk of cardiovascular disease. We examined the association between the metabolic syndrome and risk of cardiovascular disease. A MEDLINE search (1966-April 2005) was conducted to identify prospective studies that examined the association between the metabolic syndrome and risk of cardiovascular disease. Information on sample size, participant characteristics, metabolic syndrome definition, follow-up duration, and endpoint assessment was abstracted. Data from 21 studies met the inclusion criteria and were included. Individuals with the metabolic syndrome, compared to those without, had an increased mortality from all causes (relative risk [RR] 1.35; 95% confidence interval [CI], 1.17-1.56) and cardiovascular disease (RR 1.74; 95% CI, 1.29-2.35); as well as an increased incidence of cardiovascular disease (RR 1.53; 95% CI, 1.26-1.87), coronary heart disease (RR 1.52; 95% CI, 1.37-1.69) and stroke (RR 1.76; 95% CI, 1.37-2.25). The relative risk of cardiovascular disease associated with the metabolic syndrome was higher in women compared with men and higher in studies that used the World Health Organization definition compared with studies that used the Adult Treatment Panel III definition. This analysis strongly suggests that the metabolic syndrome is an important risk factor for cardiovascular disease incidence and mortality, as well as all-cause mortality. The detection, prevention, and treatment of the underlying risk factors of the metabolic syndrome should become an important approach for the reduction of the cardiovascular disease burden in the general population.
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              Increasing Prevalence of Metabolic Syndrome in Korea

              OBJECTIVE The number of people with metabolic syndrome is increasing worldwide, and changes in socioenvironmental factors contribute to this increase. Therefore, investigation of changes in metabolic syndrome and its components in South Korea, where rapid socioenvironmental changes have occurred in recent years, would be foundational in setting up an effective strategy for reducing this increasing trend. RESEARCH DESIGN AND METHODS We compared the prevalence and pattern of metabolic syndrome among participants in the Korean National Health and Nutrition Examination Surveys for 1998, 2001, 2005, and 2007. In each survey, stratified, multistage, probability–sampling designs and weighting adjustments were conducted to represent the entire Korean population. The revised National Cholesterol Education Program criteria were used as the definition of metabolic syndrome. All biochemical parameters were measured in a central laboratory. RESULTS A total of 6,907 (mean ± SE age 45.0 ± 0.2 years), 4,536 (45.5 ± 0.2), 5,373 (47.1 ± 0.2), and 2,890 (49.9 ± 0.3) Koreans over 20 years of age have participated in the studies in 1998, 2001, 2005, and 2007, respectively. The age-adjusted prevalence of metabolic syndrome increased significantly from 24.9% in 1998, 29.2% in 2001, and 30.4% in 2005 to 31.3% in 2007. Among the five components, the level of low HDL cholesterol increased the most, by 13.8% over the 10 years. Abdominal obesity and hypertriglyceridemia followed, with 8.7 and 4.9% increases, respectively. CONCLUSIONS Because dyslipidemia and abdominal obesity were major factors in increasing the prevalence of metabolic syndrome in Koreans for the past 10 years, lifestyle interventions should be conducted at the national level to reduce the burden and consequences of metabolic syndrome.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2014
                12 August 2014
                : 9
                : 8
                : e104833
                Affiliations
                [1 ]Cardiovascular Health Research Center, Sanford Research USD, Sioux Falls, South Dakota, United States of America
                [2 ]Department of Chemistry and Biochemistry, South Dakota State University, Brookings, South Dakota, United States of America
                [3 ]Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Vermillion, South Dakota, United States of America
                University of Basque Country, Spain
                Author notes

                Competing Interests: This work was supported by National Institute of Health (5R01DK061486 and 5P20RR017662-08) and by commercial funder - GlaxoSmithKline. GCS received honoraria and salary support from GlaxoSmithKline. The instrumentation in CCMSF at SDSU used in this study was obtained with support from the National Science Foundation (NSF)/EPSCoR Grant No. 0091948 and the State of South Dakota. This does not alter the authors’ adherence to PLOS ONE policies on sharing data and materials. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

                Conceived and designed the experiments: WSH GCS. Performed the experiments: KF OVS LJ. Analyzed the data: OVS. Contributed to the writing of the manuscript: OVS LJ WSH GCS.

                Article
                PONE-D-14-21255
                10.1371/journal.pone.0104833
                4130598
                25118169
                7b0bc8d7-93fc-40e1-bfff-644d756964fd
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 13 May 2014
                : 17 July 2014
                Page count
                Pages: 9
                Funding
                This work was supported by National Institute of Health (5R01DK061486 and 5P20RR017662-08) and GlaxoSmithKline. The instrumentation in CCMSF at SDSU used in this study was obtained with support from the National Science Foundation (NSF)/EPSCoR Grant No. 0091948 and the State of South Dakota. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Biochemistry
                Glycobiology
                Glycosylation
                Proteins
                Lipoproteins
                Apolipoproteins
                Physiology
                Endocrine Physiology
                Insulin Resistance
                Medicine and Health Sciences
                Research and Analysis Methods
                Electrophoretic Techniques
                Gel Electrophoresis
                Denaturing Gradient Gel Electrophoresis
                One-Dimensional Gel Electrophoresis
                Custom metadata
                The authors confirm that all data underlying the findings are fully available without restriction. All relevant data are within the paper and its Supporting Information files.

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