Utilization of Small Dense Low-Density Lipoprotein Cholesterol Testing in Korean Patients Visiting Local Clinics and Hospitals.

Small dense low-density cholesterol (sdLDL) has been the focus of studies due to its potential as an independent risk factor for atherosclerotic cardiovascular diseases. We aimed to investigate the utilization of sdLDL testing by LDL particle size analysis and the prevalence of an sdLDL predominant phenotype in Korean adult patients by visiting local clinics and hospitals. Among 9222 Korean adults (4577 men and 4645 women) with a median age of 62.8 years (interquartile range, IQR 54.5 to 71.8 years) undergoing lipid profile testing using LDL particle size analysis, the prevalence of hypercholesterolemia (total cholesterol ≥ 240 mg/dL), hypo HDL cholesterolemia (<40 mg/dL), and hyper LDL cholesterolemia (≥160 mg/dL) was 7.8%, 12.9%, and 0.5%, respectively. The overall prevalence of the sdLDL predominant non-A phenotype of LDL was 46.8% of study subjects. Approximately 32.8% of the study subjects possessed lipid test results that did not exhibit increased risk except for sdLDL (only the sdLDL predominant non-A phenotype as a risk factor). In Korea, sdLDL testing was utilized in patients whose LDL cholesterol level was not increased. Future studies to clarify the clinical significance of this test in the Korean population are needed.

Estimation of the LDL subclasses in ischemic stroke as a risk factor in a Chinese population.

BACKGROUND: Acute ischemic stroke (AIS) is one of the leading causes of mortality and long-term disability worldwide. Our study aims to clarify the role of low-density lipoproteins (LDL) subclasses in the occurrence of AIS and develop a risk xprediction model based on these characteristics to identify high-risk people. METHODS: Five hundred and sixty-six patients with AIS and 197 non-AIS controls were included in this study. Serum lipids and other baseline characteristics including fasting blood glucose (GLU), serum creatinine (Scr), and blood pressure were investigated in relation to occurrence of AIS. The LDL subfractions were classified and measured with the Lipoprint System by a polyacrylamide gel electrophoresis technique. RESULTS: Levels of LDL-3, LDL-4 and LDL-5 subclasses were significantly higher in the AIS group compared to the non-AIS group and lower level of LDL-1 was prevalent in the AIS patients. Consistently, Spearman correlation coefficient demonstrated that sd-demonevels, especially LDL-3 and LDL-4 levels, were significantly positively correlated with AIS. Furthermore, there is a significant positive correlation between small dense LDL (sd-LDL, that is LDL-3 to 7) levels and serum lipids including total cholesterol (TC), Low density lipoprotein cholesterol (LDL-C), and Triglyceride (TG). Increased LDL-3 and LDL-4 as well as decreased LDL-1 and LDL-2 were correlated to the occurrence of AIS, even in the people with normal LDL-C levels. A new prediction model including 12 variables can accurately predict the AIS risk in Chinese patients (AUC = 0.82 ± 0.04). CONCLUSIONS: Levels of LDL subclasses should be considered in addition to serum LDL-C in assessment and management of AIS. A new prediction model based on clinical variables including LDL subtractions can help clinicians identify high of AIS, even in the people with norm.

Small Dense Low-Density Lipoprotein Cholesterol and the Risk of Coronary Heart Disease in a Japanese Community.

AIMS: This study aims to investigate the association between serum small dense low-density lipoprotein (sdLDL) cholesterol level and the development of coronary heart disease (CHD) in a Japanese community. METHODS: A total of 3,080 participants without prior cardiovascular disease, aged 40 years or older, were followed up for 8 years. The participants were divided into the quartiles of serum sdLDL cholesterol levels. The risk estimates were computed using a Cox proportional hazards model. RESULTS: During the follow-up period, 79 subjects developed CHD. Subjects in the highest quartile had a 5.41- fold (95% confidence interval, 2.12-13.82) higher risk of CHD than those in the lowest quartile after controlling for confounders. In the analysis classifying the participants into four groups according to the levels of serum sdLDL cholesterol and serum low-density lipoprotein (LDL) cholesterol levels, the risk of CHD almost doubled in subjects with sdLDL cholesterol of ≥ 32.9 mg/dL (median), regardless of serum LDL cholesterol levels, as compared with subjects with serum sdLDL cholesterol of ＜32.9 mg/dL and serum LDL cholesterol of ＜120.1 mg/dL (median). When serum sdLDL cholesterol levels were incorporated into a model with known cardiovascular risk factors, c-statistics was significantly increased (from 0.77 to 0.79; p=0.02), and the net reclassification improvement was also significant (0.40; p＜0.001). CONCLUSIONS: The present findings suggest that the serum sdLDL cholesterol level is a relevant biomarker for the future development of CHD that offers benefit beyond the serum LDL cholesterol level and a possible therapeutic target to reduce the burden of CHD in a Japanese community.

High sdLDL Cholesterol can be Used to Reclassify Individuals with Low Cardiovascular Risk for Early Intervention: Findings from the Chinese Multi-Provincial Cohort Study.

AIM: A high-risk strategy has been implemented for lipid-lowering therapy in the primary prevention of cardiovascular disease. However, atherosclerosis and cardiovascular events are common among individuals with low cardiovascular risk. This study aimed to determine whether the small dense low-density lipoprotein cholesterol (sdLDLC) level can predict carotid atherosclerosis progression and identify high-risk individuals. METHODS: Baseline sdLDLC and low-density lipoprotein cholesterol (LDLC) were measured in 808 participants from the Chinese Multi-provincial Cohort Study, aged 45-74 years. Adjusted relative risk was calculated using a modified Poisson regression model to assess the relationship between sdLDLC and 5-year atherosclerosis progression, as indicated by the progression, incidence, and multi-territorial extent of carotid plaque. RESULTS: The 5-year atherosclerosis progression increased significantly with increased sdLDLC. Baseline sdLDLC was significantly associated with the short-term risk of plaque progression after multivariable adjustment, even in participants with low LDLC or a 10-year estimated cardiovascular risk. sdLDLC predicted plaque progression (relative risk 2.05; 95% confidence interval 1.43-2.93) in participants with LDLC ＜130 mg/dL. Furthermore, participants with the highest sdLDLC but intermediate or low cardiovascular risk (accounting for 16% of the cohort) had double the risk of plaque progression, which was comparable to those with the same sdLDLC and high cardiovascular risk, relative to those with the lowest sdLDLC levels and low cardiovascular risk. CONCLUSIONS: sdLDLC is independently associated with the progression of carotid atherosclerosis, which may provide a basis for clinicians to reclassify individuals believed to be at low cardiovascular risk into the high-risk category, and those with high sdLDLC may benefit from more aggressive cholesterol-lowering treatment.

Variation in Coronary Atherosclerosis Severity Related to a Distinct LDL (Low-Density Lipoprotein) Profile: Findings From a Familial Hypercholesterolemia Pig Model.

OBJECTIVE: In an adult porcine model of familial hypercholesterolemia (FH), coronary plaque development was characterized. To elucidate the underlying mechanisms of the observed inter-individual variation in disease severity, detailed lipoprotein profiles were determined. Approach and Results: FH pigs (3 years old, homozygous LDLR R84C mutation) received an atherogenic diet for 12 months. Coronary atherosclerosis development was monitored using serial invasive imaging and histology. A pronounced difference was observed between mildly diseased pigs which exclusively developed early lesions (maximal plaque burden, 25% [23%-34%]; n=5) and advanced-diseased pigs (n=5) which developed human-like, lumen intruding plaques (maximal plaque burden, 69% [57%-77%]) with large necrotic cores, intraplaque hemorrhage, and calcifications. Advanced-diseased pigs and mildly diseased pigs displayed no differences in conventional risk factors. Additional plasma lipoprotein profiling by size-exclusion chromatography revealed 2 different LDL (low-density lipoprotein) subtypes: regular and larger LDL. Cholesterol, sphingosine-1-phosphate, ceramide, and sphingomyelin levels were determined in these LDL-subfractions using standard laboratory techniques and high-pressure liquid chromatography mass-spectrometry analyses, respectively. At 3 months of diet, regular LDL of advanced-diseased pigs contained relatively more cholesterol (LDL-C; regular/larger LDL-C ratio 1.7 [1.3-1.9] versus 0.8 [0.6-0.9]; P=0.008) than mildly diseased pigs, while larger LDL contained more sphingosine-1-phosphate, ceramides, and sphingomyelins. Larger and regular LDL was also found in plasma of 3 patients with homozygous FH with varying LDL-C ratios. CONCLUSIONS: In our adult FH pig model, inter-individual differences in atherosclerotic disease severity were directly related to the distribution of cholesterol and sphingolipids over a distinct LDL profile with regular and larger LDL shortly after the diet start. A similar LDL profile was detected in patients with homozygous FH.

Association of lipoprotein subfractions with endothelial function and arterial stiffness in acute ischemic stroke.

Hypercholesterolemia represents a risk factor for the development of atherosclerosis. Lipoprotein research has recently been focused on the phenomenon of atherogenic and non-atherogenic lipoproteins. The aim of this study was to explore the association of lipoprotein subfractions with a measure for endothelial function (represented by reactive hyperemia index [RHI]) and arterial stiffness (represented by augmentation index [AI]) in patients with acute ischemic stroke. We enrolled 51 patients with acute ischemic stroke. Blood samples were obtained within 24 h after the stroke onset in a fasting condition. Electrophoresis method on polyacrylamide gel was used for the analysis of plasma lipoproteins. RHI and AI was measured by peripheral arterial tonometry (EndoPAT2000 device). We failed to find any significant correlation between RHI and baseline characteristics of the population. Significant correlation was found between AI and age, hypertension, low density lipoprotein cholesterol (LDL) 1, LDL 3-7, score for anti-atherogenic risk and atherogenic profile. Age (beta = .362, p = .006) and LDL1 (beta = -0.283, p = .031) were the only independent variables significantly associated with AI in regression analysis. Significantly higher AI was found in an atherogenic lipoprotein profile compared to a non-atherogenic profile population (median 25% vs. median 11.5%, p = .043). In conclusion, our results suggest significant inverse correlation between levels of LDL 1 subfraction and measures of AI in patients with acute ischemic stroke. Significantly higher values of AI were observed in the population with an atherogenic lipoprotein profile.

[Clinical Application of Methods for the Qualitative Evaluation of Lipid Abnormalities].

Recent lifestyle and social environment changes in Japan have been accompanied by increasing incidencerates of metabolic disorders, such as dyslipidemia and diabetes. Therefore, the rates of cardiovascular disease due to the progression of atherosclerosis are also increasing, and cardiovascular disease remains the leading cause of death in Japan. In particular, dyslipidemia, represented by hypercholesterolemia, hypertriglyceridemia, and hypoalphalipoproteinemia, is closely related to the onset and progression of atherosclerosis. Total cholesterol, low-density lipoprotein (LDL) cholesterol, and high-density lipoprotein (HDL) cholesterol have been used as quantitative markers of lipids to evaluate cardiovascular risks. However, these markers are not sufficient to fully assess the risks. Therefore, we focused on qualitative markers that represent lipid abnormalities, and examined the utility of qualitative lipids evaluation as clinical markers of atherosclerotic disorders. Previously, we reported that HDL and LDL subclasses and sterol markers are clinically important for evaluating the pathogenesis and risks of cardiovascular disorders. Moreover, lipoprotein subclasses may be useful as therapeutic markers for cardiovascular disorders, and oxysterols may also be useful as diagnostic markers for dementing disorders and diseases of the central nervous system. These issues remain to befully elucidated in the future.

Classification of LDL phenotypes by 4 methods of determining lipoprotein particle size.

BACKGROUND: Low-density lipoprotein cholesterol (LDL-C) lowering is the primary objective of patient management for cardiovascular disease. However, large numbers of patients who have achieved their LDL-C goal remain at risk for cardiovascular events. Low-density lipoprotein subfractions may provide insight into this residual risk. Thus, LDL subfraction standardization and consistency are critical to these efforts. AIM: This study aimed to determine the agreement of the analytical results among 4 methods commonly used for LDL subfractionation, namely, segmented gradient gel electrophoresis (sGGE), ultracentrifugation-vertical auto profile (VAP), nuclear magnetic resonance (NMR), and ion mobility (IM). METHODS: Blood samples were collected from 228 apparently healthy adults and sent to 4 clinical reference laboratories for analysis. The LDL phenotype was reported as pattern A (larger, less dense particles) or pattern B (smaller, more dense particles), respectively, and was the primary measure of comparison. An intermediate pattern (A/B) was also reported for sGGE and VAP. RESULTS: We observed complete agreement in the LDL phenotype among the 4 methods in 64% of subjects and agreement among at least 3 of the 4 methods in 87% of subjects. Agreement among pairs of methods ranged from 73% to 98% depending on how differences in reporting of subjects with intermediate results were considered. When subjects having intermediate A/B pattern were excluded, sGGE and IM had the highest agreement (98%) of any pair of methods. CONCLUSIONS: We found substantial agreement in the reported LDL phenotype among 4 LDL subfraction measurement technologies as performed by different clinical reference laboratories.

Reversal of small, dense LDL subclass phenotype by weight loss is associated with impaired fat oxidation.

Adiposity is more prevalent among individuals with a predominance of small, dense low-density lipoprotein (LDL) (pattern B) particles than among those with larger LDL (pattern A). We tested for differences in resting energy expenditure (REE) and respiratory quotient (RQ) in overweight men with pattern A (n = 36) or pattern B (n = 60). Men consumed a standardized isoenergetic diet for 3 weeks after which a ~9 kg weight loss was induced by caloric deficit for 9 weeks, followed by 4 weeks of weight stabilization. REE and RQ were measured by indirect calorimetry before and after weight loss. Results were analyzed separately in pattern B men who converted to pattern A (B→A; n = 35) and those who did not (B→B; n = 25). At baseline, B→B men had higher trunk fat, triacylglycerol (TG) and insulin concentrations, homeostasis model assessment of insulin resistance (HOMA(IR)), and smaller LDL particles compared to B→A men and baseline pattern A men who remained pattern A (A→A; n = 35). REE normalized to fat-free mass did not change after weight loss. RQ decreased in A→A men, increased in B→A men, and did not change significantly in B→B men after weight loss. Calculated fat oxidation rates paralleled the RQ results. Baseline plasma TG concentrations were positively correlated with RQ and inversely correlated with the magnitude of weight loss achieved for a given prescribed energy reduction in the entire study population. Pattern B men who converted to pattern A with weight loss may have an underlying impairment in fat oxidation that predisposes to both dyslipidemia and an impaired ability to achieve weight loss by energy restriction.

Method of LDL cholesterol measurement influences classification of LDL cholesterol treatment goals: clinical research study.

BACKGROUND: Low-density lipoprotein cholesterol (LDL-C) has been clearly associated with the risk of developing coronary heart disease. The best and most convenient method for determining LDL-C has come under increased scrutiny in recent years. We present comparisons of the Friedewald calculated LDL-C (C-LDL-C) and direct LDL-C (D-LDL-C) using 3 different homogenous assays. This highlights differences between the 2 methods of LDL-C measurement and how this affects the classification of samples into different LDL-C treatment goals as determined by the National Cholesterol Education Program Adult Treatment Panel III guidelines thus potentially affecting treatment strategies. METHODS: Lipid profiles of a total of 2208 clinic patients were retrieved from the Central Arkansas VA Healthcare System clinical laboratory database. Samples studied were of 1-week period during the 3 periods studied: 2000 (period 1), 2002 (period 2), and 2005 (period 3). Different homogenous assays for D-LDL-C measurement were used for each of the 3 periods. RESULTS: There is a fundamental disagreement between D-LDL-C and C-LDL-C, although Pearson correlation coefficients are 0.93, 0.97, and 0.98 for periods 1, 2, and 3, respectively. Using the model for period 1, when C-LDL-C is 70 mg/dL, the predicted D-LDL-C is 95 mg/dL (36% higher). The differences between C-LDL-C and predicted D-LDL-C progressively decrease at higher LDL-C cut points. In the assay used in period 3, there are 290 samples with D-LDL-C values between 100 and 130 mg/dL. Of these, only 182 samples show agreement with C-LDL-C values, whereas 90 samples with a D-LDL-C in the 100- to 130-mg/dL range are in the 70- to 100-mg/dL range using the C-LDL-C assay. Although the κ statistics suggests the LDL-C measures have relatively high levels of agreement, the significant generalized McNemar tests (P < 0.01) provide additional evidence of disagreement between C-LDL-C and D-LDL-C during all the 3 periods. CONCLUSIONS: Our results highlight D-LDL-C measurements using 3 different assays during 3 different periods. In all assays, there is a substantial lack of agreement between D-LDL-C and C-LDL-C, which, in most cases, resulted in higher D-LDL-C values than C-LDL-C. This leads to clinically significant misclassification of patient's LDL-C to a different LDL-C treatment goal, which would potentially result in more drug usage, thus exposing patients to more potential adverse effects and at a much greater cost with little evidence of benefit.

LDL size and subclasses in patients with abdominal aortic aneurysm.

Since the type of dyslipidemia in patients with abdominal aortic aneurysm (AAA) is still insufficiently defined, we measured plasma lipids and analyzed LDL size and subclasses by gradient gel electrophoresis in 30 male patients (69+/-6 years, BMI: 27+/-3) with newly diagnosed AAA and in 26 age- and BMI-matched male healthy controls. Patients with AAA had lower HDL-cholesterol (p<.0001), increased triglycerides (p=.0002) and smaller LDL size (p<.0001) as well as increased levels of total small, dense LDL (p=.0210) in relation to controls. Multivariate analysis also showed that small LDL size was independently associated with the presence of AAA (p=.0350). Increased levels of small, dense LDL may therefore represent a common feature in patients with AAA.

Association between plasma LDL particle size, valvular accumulation of oxidized LDL, and inflammation in patients with aortic stenosis.

OBJECTIVE: In patients with severe aortic stenosis (AS), we examine the association between: (1) the content of oxidized LDL (oxLDL) in the aortic valve and the degree of inflammation and remodeling; (2) The proportion of small dense LDL particles in the plasma and the presence of oxLDL in the valve along with hemodynamic progression of valve stenosis. METHODS AND RESULTS: We have examined 102 explanted AS valves. Tissue remodeling, inflammation, and accumulation of oxLDL were determined. A complete plasma lipid profile including the measurement of the relative proportion of small low-density lipoprotein (%LDL(<255A)) was obtained. Valves with higher oxLDL content had a significantly higher density of inflammatory cells, expression of tumor necrosis factor (TNF)-alpha, and increased tissue remodeling score. The %LDL(<255A) was significantly associated with oxLDL score within the aortic valve. In a subset of 59 patients in whom stenosis progression was measured, the %LDL(<255A) correlated with the annualized peak gradient (r=0.29; P=0.04). CONCLUSIONS: Increased proportion of circulating small dense LDL particles is associated with faster progression rate of stenosis and greater accumulation of oxLDL in the aortic valve. These findings suggest that therapeutic interventions aimed at lowering the production of small dense LDL particles in patients with AS might represent a potentially interesting therapeutic avenue.

Platelet activation by low density lipoprotein and high density lipoprotein.

Cardiovascular disease is the main cause of death and disability in the Western society. Lipoproteins are important in the development of cardiovascular disease since they change the properties of different cells involved in atherosclerosis and thrombosis. The interaction of platelets with lipoproteins has been under intense investigation. Particularly the initiation of platelet signaling pathways by low density lipoprotein (LDL) has been studied thoroughly, since platelets of hypercholesterolemic patients, whose plasma contains elevated LDL levels due to absent or defective LDL receptors, show hyperaggregability in vitro and enhanced activity in vivo. These observations suggest that LDL enhances platelet responsiveness. Several signaling pathways induced by LDL have been revealed in vitro, such as signaling via p38 mitogen-activated protein kinase and p125 focal adhesion kinase. High density lipoprotein (HDL) consists of two subtypes, HDL(2) and HDL(3), which have opposing effects on platelet activation. This review provides a summary of the activation of signaling pathways after platelet-LDL and platelet-HDL interaction, with special emphasis on their role in the development of thrombosis and atherosclerosis.

Low high-density lipoprotein cholesterol and cardiovascular disease: risk reduction with statin therapy.

A low level of high-density lipoprotein cholesterol (HDL-C) is a major risk factor for cardiovascular disease; however, patients with low levels of HDL-C without raised low-density lipoprotein cholesterol (LDL-C) levels are not currently eligible for lipid-lowering therapy. Many individuals with low levels of HDL-C have a combination of cardiovascular risk factors that include high LDL particle concentrations. Lowering LDL particle concentration and its surrogate measure, LDL-C, is an important approach to reducing cardiovascular risk. Statins are the most effective agents for lowering levels of LDL and can significantly increase levels of HDL-C. Extending statin therapy to patients with low levels of HDL-C but with LDL-C levels below target may have benefits for cardiovascular disease reduction in these patients.

LDL particle size, fat distribution and insulin resistance in obese children.

BACKGROUND: The importance of small dense low-density lipoprotein (sdLDL) cholesterol in coronary heart disease has been demonstrated in many studies. Body fat accumulation, especially abdominal adiposity, is one of the important factors modifying the expression of sdLDL in adults. OBJECTIVE: To determine the prevalence of sdLDL in obese children, and to investigate its relationship with anthropometric and metabolic variables. SUBJECTS: A total of 30 obese children (22 males, 8 females) aged 12.6+/-0.6 years (mean+/-s.e.), who presented to our outpatient clinic with obesity. METHODS: LDL peak particle diameter was determined using gel electrophoresis. LDL subclasses were classified into sdLDL (pattern B; diameter<25.5 nm) and non-sdLDL (pattern A; diameter>or=25.5 nm). Anthropometric and metabolic variables were also determined to identify factors modifying LDL particle size. RESULTS: sdLDL was detected in 11 children (40.0%). In children with sdLDL, waist/height ratio was significantly higher (P=0.0466), and they had significantly higher triglyceride (TG) (P=0.0035) and lower high-density lipoprotein cholesterol (HDLC) levels (P=0.036). Peak LDL diameter as a continuous variable was significantly correlated with HDLC and TG levels. In multiple regression analysis, body mass index and waist/height ratio were significant determinants of the peak LDL diameter variability. CONCLUSIONS: We found a high prevalence of sdLDL in obese children, and a relationship of peak LDL diameter with abdominal fat accumulation, HDLC and TG levels. The presence of sdLDL might be an important risk factor for the metabolic syndrome.

Effect of lipid-lowering drug therapy on small-dense low-density lipoprotein.

OBJECTIVE: To review the effects of lipid-lowering therapy on small-dense low-density lipoprotein cholesterol (sdLDL-C). DATA SOURCES: Literature was obtained from MEDLINE (1989-September 2004) and references of selected articles. Key search terms included small-dense LDL-C and lipid-lowering drug therapy. DATA SYNTHESIS: Statins, fibrates, and niacin have demonstrated favorable effects on sdLDL-C, especially among patients with mixed dyslipidemia or hypertriglyceridemia. These effects include a reduction of sdLDL-C and/or a shift to the larger, less atherogenic LDL-C. CONCLUSIONS: Data suggest that statins, fibrates, and niacin are effective at reducing concentrations of sdLDL-C and possibly normalizing LDL-C subclasses.

Small dense LDL phenotype is associated with postprandial increases of large VLDL and remnant-like particles in patients with acute myocardial infarction.

BACKGROUND: The small dense low-density lipoprotein (LDL) phenotype (pattern B), high concentrations of remnant-like particles (RLPs), and postprandial lipemia are newly recognized risk factors for coronary heart disease (CHD). However, the associations of these lipoprotein abnormalities remain unclear. The aim of this study was to investigate the relationships among LDL phenotype, very-low-density lipoprotein (VLDL) subclasses, and postprandial lipoprotein metabolism in CHD patients. METHOD: We performed an oral fat tolerance test in 32 patients with acute myocardial infarction and compared the following parameters between patients characterized by either large buoyant LDL (pattern A) versus pattern B: lipids and apolipoproteins (apo) in the plasma and Svedberg flotation rates (Sf) >400 (chylomicron), Sf 60-400 (large VLDL), and Sf 20-60 (small VLDL) fractions. RESULT: Fasting levels of triglyceride, RLP-cholesterol and RLP-triglyceride were slightly higher in the pattern B patients. Postprandial increases of RLP-cholesterol and the cholesterol and triglyceride of large VLDL fractions were significantly greater in the pattern B patients. The areas under the curves of cholesterol, triglyceride, and apo-B in large VLDL fractions were significantly higher in pattern B, while those in small VLDL were not. RLP-cholesterol and RLP-triglyceride in fasting and fed states correlated very highly with the corresponding cholesterol and triglyceride concentrations in large VLDL fractions. CONCLUSION: These results suggest that postprandial increase of large VLDL fractions and RLPs contribute to the formation of small dense LDL in CHD patients.