Lipoprotein Subclasses Research Articles

Relationships between Lipid-Related Metabolites and Age-Related Macular Degeneration Vary with Complement Genotype.

Lipid dysregulation and complement system (CS) activation are 2 important pathophysiology pathways for age-related macular degeneration (AMD). We hypothesized that the relationship between lipids and AMD may also differ according to CS genotype profile. Thus, the objective was to investigate the relationships between lipid-related metabolites and AMD according to CS genotypes. Population-based cross-sectional study. A total of 6947 participants from Singapore Epidemiology of Eye Diseases study with complete relevant data were included. We investigated a total of 32 blood lipid-related metabolites from nuclear magnetic resonance metabolomics data including lipoproteins and their subclasses, cholesterols, glycerides, and phospholipids, as well as 4 CS single nucleotide polymorphisms (SNPs): rs10922109 (complement factor H), rs10033900 (complement factor I), rs116503776 (C2-CFB-SKIV2L), and rs2230199 (C3). We first investigated the associations between AMD and the 32 lipid-related metabolites using multivariable logistic regression models. Then, to investigate whether the effect of lipid-related metabolites on AMD differ according to the CS SNPs, we tested the possible interactions between the CS SNPs and the lipid-related metabolites. Age-related macular degeneration was defined using the Wisconsin grading system. Among the 6947 participants, the prevalence of AMD was 6.1%, and the mean age was 58.3 years. First, higher levels of cholesterol in high-density lipoprotein (HDL) and medium and large HDL particles were associated with an increased risk of AMD, and higher levels of serum total triglycerides (TG) and several very-low-density lipoprotein subclass particles were associated with a decreased risk of AMD. Second, these lipids had significant interaction effects on AMD with 2 CS SNPs: rs2230199 and rs116503776 (after correction for multiple testing). For rs2230199, in individuals without risk allele, higher total cholesterol in HDL2 was associated with an increased AMD risk (odds ratio [OR] per standard deviation increase, 1.20; 95% confidence interval (CI), 1.06-1.37; P= 0.005), whereas, in individuals with at least 1 risk allele, higher levels of these particles were associated with a decreased AMD risk (OR, 0.69; 95% CI, 0.45-1.05; P= 0.079). Conversely, for rs116503776, in individuals without risk allele, higher serum total TG were associated with a decreased AMD risk (OR, 0.84; 95% CI, 0.74-0.95; P= 0.005), whereas, in individuals with 2 risk alleles, higher levels of these particles were associated with an increased risk of AMD (OR, 2.3, 95% CI, 0.99-5.39, P= 0.054). Lipid-related metabolites exhibit opposite directions of effects on AMD according to CS genotypes. This indicates that lipid metabolism and CS may have synergistic interplay in the AMD pathogenesis.

Doxorubicin-induced cardiotoxicity is associated with a change in high density lipoprotein subclasses in a mouse breast cancer model

Doxorubicin-induced cardiotoxicity is associated with a change in high density lipoprotein subclasses in a mouse breast cancer model

GlycA, a Biomarker of Low-Grade Inflammation, Is Increased in Male Night Shift Workers.

Sustained night shift work is associated with various adverse health risks, including an increased risk of cardiovascular disease, type II diabetes, and susceptibility to infectious respiratory diseases. The extent of these adverse health effects, however, seems to greatly vary between night shift workers, yet the underlying reasons and the mechanisms underlying these interindividual differences remain poorly understood. Metabolomics assays in the blood have recently gained much attention as a minimally invasive biomarker platform capturing information predictive of metabolic and cardiovascular diseases. In this cross-sectional study, we explored and compared the metabolic profiles of 1010 night shift workers and 1010 age- and sex-matched day workers (non-shift workers) from the Lifelines Cohort Study. The metabolic profiles were determined using the 1H-NMR Nightingale platform for the quantification of 250 parameters of metabolism, including routine lipids, extensive lipoprotein subclasses, fatty acid composition, and various low-molecular metabolites, including amino acids, ketone bodies, and gluconeogenesis-related metabolites. Night shift workers had an increased BMI (26.6 vs. 25.9 kg/m2) compared with day workers (non-shift workers) in both sexes, were slightly more likely to be ever smokers (only in males) (54% vs. 46%), worked on average 5.9 ± 3.7 night shifts per month, and had been working in night shifts for 18.3 ± 10.5 years on average. We observed changes in several metabolic markers in male night shift workers compared with non-shift workers, but no changes were observed in women. In men, we observed higher levels of glycoprotein acetyls (GlycA), triglycerides, and fatty acids compared with non-shift workers. The changes were seen in the ratio of triglycerides and cholesterol(esters) to total lipids in different sizes of VLDL particles. Glycoprotein acetyls (GlycAs) are of particular interest as markers since they are known as biomarkers for low-grade chronic inflammation. When the analyses were adjusted for BMI, no significant associations were observed. Further studies are needed to better understand the relationship between night shift work and metabolic profiles, particularly with respect to the role of sex and BMI in this relationship.

Alteration in Redox Status and Lipoprotein Profile in COVID-19 Patients with Mild, Moderate, and Severe Pneumonia.

Metabolic alterations, particularly disorders of lipoprotein metabolism in COVID-19, may affect the course and outcome of the disease. This study aims at evaluating the lipoprotein profile and redox status in SARS-CoV-2 infected patients with different pneumonia severity and their association with lethal outcomes. The prospective cohort study was performed on 98 COVID-19 patients with mild, moderate, and severe pneumonia. Lipid and inflammatory parameters, lipoprotein subclasses, and redox status biomarkers were determined at the study entry and after one week. Compared to patients with mild and moderate pneumonia, severely ill patients had higher oxidised low-density lipoprotein (oxLDL) and malondialdehyde levels and lower high-density lipoprotein cholesterol (HDL-C) concentrations and paraoxonase 1 activity. Reduction in the proportion of large HDL 2a subclasses with a concomitant increase in the proportion of smallest HDL 3c and small dense LDL (sdLDL) particles was observed in patients with severe disease during the time. However, these changes were reversed in the mild and moderate groups. The results showed a positive association between changes in oxLDL and total antioxidative status. However, prooxidants and antioxidants in plasma were lower in patients with lethal outcomes. Increased levels of oxLDL and sdLDL particles may contribute to the severity of COVID-19. The role of oxidative stress should be clarified in further studies, mainly its association with lethal outcomes.

Causal effects of genetically predicted type 2 diabetes mellitus on blood lipid profiles and concentration of particle-size-determined lipoprotein subclasses: A two-sample Mendelian randomization study.

BackgroundObservational studies have shown inconsistent results of the associations between type 2 diabetes mellitus (T2DM) and blood lipid profiles, while there is also a lack of evidence from randomized controlled trials (RCTs) for the causal effects of T2DM on blood lipid profiles and lipoprotein subclasses.ObjectivesOur study aimed at investigating the causal effects of T2DM on blood lipid profiles and concentration of particle-size-determined lipoprotein subclasses by using the two-sample Mendelian randomization (MR) method.MethodsWe obtained genetic variants for T2DM and blood lipid profiles including high-density lipoprotein-cholesterol (HDL-C), low-density lipoprotein-cholesterol (LDL-C), triglycerides (TG), and total cholesterol (TC) from international genome-wide association studies (GWASs). Two-sample MR method was applied to explore the potential causal effects of genetically predicted T2DM on blood lipid profiles based on different databases, respectively, and results from each MR analysis were further meta-analyzed to obtain the summary results. The causal effects of genetically predicted T2DM on the concentration of different subclasses of lipoproteins that are determined by particle size were also involved in MR analysis.ResultsGenetically predicted 1-unit higher log odds of T2DM had a significant causal effect on a higher level of TG (estimated β coefficient: 0.03, 95% confidence interval [CI]: 0.00 to 0.06) and lower level of HDL-C (estimated β coefficient: −0.09, 95% CI: −0.11 to −0.06). The causality of T2DM on the level of TC or LDL-C was not found (estimated β coefficient: −0.01, 95% CI: −0.02 to 0.01 for TC and estimated β coefficient: 0.01, 95% CI: −0.01 to 0.02 for LDL-C). For different sizes of lipoprotein particles, 1-unit higher log odds of T2DM was causally associated with higher level of small LDL particles, and lower level of medium HDL particles, large HDL particles, and very large HDL particles.ConclusionEvidence from our present study showed causal effects of T2DM on the level of TG, HDL-C, and concentration of different particle sizes of lipoprotein subclasses comprehensively, which might be particularly helpful in illustrating dyslipidemia experienced by patients with T2DM, and further indicate new treatment targets for these patients to prevent subsequent excessive cardiovascular events from a genetic point of view.

Effect of high-fat diet and exercise in the morning or evening on lipid subfractions among men with overweight/obesity: a randomised trial

Abstract Background Although main lipid fractions in the blood, such as HDL and LDL, are associated with risk of cardiovascular disease (CVD), the risk associated with different subfractions of these particles varies. For example, small dense LDL particles are associated with significantly increased CVD risk while larger LDL particles are not. Purpose To investigate the effect of a high-fat diet on serum lipid subfractions in men with overweight/obesity and to determine whether morning or evening exercise affected the lipid subfraction profile. Methods In a three-armed randomised trial, 24 men (aged 36±4 years, body mass index 31.2±2.3 kg/m2) consumed a high-fat diet (HFD; 65% energy from fat) for 11 days. One group of participants (n=8, control) did not exercise, while one group (n=8) exercised in the morning (06:30 hours) and one group (n=8) in the evening (18:30 hours) on days 6–10. We measured the effect of HFD, and that of morning or evening exercise, on fasting circulating lipoprotein subclass profiles determined using nuclear magnetic resonance spectroscopy. We performed a principal component analysis and partial least squares discriminant analyses to investigate patterns of changes in lipid subfractions after 5 days of HFD and a repeated measures ANOVA simultaneous component analysis (RM-ASCA) to determine multivariate changes in lipoprotein profiles between the three groups. To determine univariate effects of HFD on lipoprotein subclasses, we used Benjamini-Hochberg-adjusted paired samples t-tests. We used linear mixed models to determine between-group differences in lipoprotein subfractions after exercise in the morning or evening, compared to no exercise. Results Lipid subfraction profiles changed substantially after 5 days of HFD, with significant changes in 31 of 100 subfraction variables (adjusted p-values <0.05). Total serum cholesterol in LDL increased from 113±26 mg/dL to 122±26 mg/dL after 5 days of HFD (adjusted p=0.039) due to increased cholesterol in larger LDL particles (LDL-2 and LDL-3, Figure 1). Exercise induced a systematic change in lipid subfraction profiles, with small overall differences between morning versus evening exercise. Morning and evening exercise reduced serum concentrations of 20% and 24% of fasting lipid subfraction variables, respectively, compared to the control group (Figure 2). Evening exercise reduced fasting cholesterol concentrations in three LDL subfractions by 20%, 26% and 86%, respectively, while morning exercise only reduced concentration in the largest LDL particles by 12% (adjusted p-values <0.05 compared to the control group for all). Discussion and conclusion We found a marked change in lipid subfraction profiles after only five days of HFD among men with overweight/obesity. Exercise, either in the morning or in the evening, induced a substantial change in lipid subfraction profile compared with no exercise during an HFD. Funding Acknowledgement Type of funding sources: Foundation. Main funding source(s): Novo Nordisk Foundation

Predictive Value of the Advanced Lipoprotein Profile and Glycated Proteins on Diabetic Retinopathy.

This study aimed to assess whether the advanced characteristics of serum lipoprotein subclasses could better predict the risk of developing diabetic retinopathy (DR) and its severity compared to other established risk factors in subjects with type 1 (T1D) and type 2 (T2D) diabetes. This observational, cross-sectional substudy analyzed DR-related data from 309 T1D and 264 T2D subjects. The advanced lipoprotein and glycoprotein profile was determined by nuclear magnetic resonance (NMR) spectroscopy (Liposcale test). NMR analysis of lipoproteins revealed that T1D subjects with DR showed standard non-HDL particles, despite higher IDL lipid concentrations. Notably, IDL lipids were elevated in T1D subjects with worsened DR. VLDL and LDL were smaller, whereas HDL triglycerides were increased in DR compared with non-DR. On the other hand, the T2D subjects with DR showed altered characteristics in the LDL fraction, mainly revealed by a significant decrease in smaller LDL and a reduction in LDL-C. Moreover, the glycoprotein profile did not reveal significant changes among DR groups, regardless of the type of diabetes. However, lipoprotein characteristics and glycoproteins unveiled by NMR analysis did not improve the predictive value of conventional lipids or other traditional, well-established biomarkers of DR in our cohorts.

P02-02 Human exposure to per-and polyfluoroalkyl substances and effects on plasma lipoprotein subclasses, lipid concentrations and lipoproteins as measured by NMR spectroscopy in men and women and possible gender differences in sensitivity

P02-02 Human exposure to per-and polyfluoroalkyl substances and effects on plasma lipoprotein subclasses, lipid concentrations and lipoproteins as measured by NMR spectroscopy in men and women and possible gender differences in sensitivity

Apolipoprotein E in Cardiometabolic and Neurological Health and Diseases.

A preponderance of evidence obtained from genetically modified mice and human population studies reveals the association of apolipoprotein E (apoE) deficiency and polymorphisms with pathogenesis of numerous chronic diseases, including atherosclerosis, obesity/diabetes, and Alzheimer’s disease. The human APOE gene is polymorphic with three major alleles, ε2, ε3 and ε4, encoding apoE2, apoE3, and apoE4, respectively. The APOE gene is expressed in many cell types, including hepatocytes, adipocytes, immune cells of the myeloid lineage, vascular smooth muscle cells, and in the brain. ApoE is present in subclasses of plasma lipoproteins, and it mediates the clearance of atherogenic lipoproteins from plasma circulation via its interaction with LDL receptor family proteins and heparan sulfate proteoglycans. Extracellular apoE also interacts with cell surface receptors and confers signaling events for cell regulation, while apoE expressed endogenously in various cell types regulates cell functions via autocrine and paracrine mechanisms. This review article focuses on lipoprotein transport-dependent and -independent mechanisms by which apoE deficiency or polymorphisms contribute to cardiovascular disease, metabolic disease, and neurological disorders.

Association of High-Density Lipoprotein Subclasses Levels with Sleep Duration and Other Lifestyles in Middle-Aged and Elderly Women: Cross-Sectional Study.

Objective: We aimed at investigating the association of high-density lipoprotein subclasses (HDL2-C and HDL3-C) levels with sleep duration, in comparison to other lifestyles in middle-aged and elderly women. Materials and Methods: A total of 69 women aged older than 40 who underwent "Anti-aging Health Checkups" were enrolled in the study. The analyses were conducted for all the subjects using personal data regarding clinical characteristics and lifestyle. Sleep duration was categorized into two groups of less than or more than 6 hrs. First, an analysis was performed to assess the correlation of two major HDL subclasses with various factors. Next, a multiple regression analysis was conducted to identify the association for each HDL2-C and HDL3-C with lifestyles such as sleep duration, daily breakfast, dinner time, habitual exercise, and drinking. Moreover, we examined the associations between HDL2-C and sleep duration combined with other lifestyle factors such as dinner time, daily breakfast, habitual exercise, and drinking. Results: In comparison to lifestyles, sleep duration had a strong association with only HDL2-C after adjustment for confounders. The "less 6 hrs sleep" group in combination with the "no exercise habit" or the "routine drinking habit" significantly decreased HDL2-C levels more than the assumed reference group. Regarding breakfast, there is a significant association between the "less than 6 hrs sleep with no daily breakfast" and the "more than 6 hrs sleep with daily breakfast." Conclusion: The results of this study may suggest that sufficient sleep might be significant for maintaining appropriate HDL2-C levels in middle-aged and elderly women under the condition that lifestyle might change during the ongoing COVID-19 pandemic.

Effect of fixed-dose combination of insulin degludec and liraglutide on apoB-containing lipoprotein subclasses and HDL lipidome in type 2 diabetes

AimsAdministration of insulin degludec and liraglutide (IDegLira) correlates to fasting lipid profile changes of diabetic patients, while data concerning apoB-containing lipoprotein subclasses and HDL lipidome are scarce. We evaluated its effect on fasting lipid parameters, apolipoproteins, apoB-containing lipoprotein subclasses and HDL lipidome in patients with type 2 diabetes. MethodsSixty three patients with HbA1c > 7 % on oral glucose-lowering drugs received either IDegLira or insulin degludec for 3 months. Lipoprotein subfraction profile was determined through Lipoprint method, whereas HDL lipid composition via 1H NMR. ResultsCompared to insulin degludec, IDegLira administration resulted in significantly greater reduction of total and LDL-cholesterol. On the other hand, the effect of the two drugs on apolipoprotein-B-containing lipoprotein subfractions concentration was minimal and did not differ between the 2 interventions. IDegLira, but not insulin degludec, induced an atheroprotective shift in HDL's fatty acid composition and particle core depletion in triglycerides. ConclusionsIDegLira administration is accompanied by total and LDL-cholesterol reduction, while sdLDL concentration only reduced in patients experiencing triglyceride reduction. IDegLira induced compositional changes of HDL particles. These changes may contribute to the cardioprotective properties of liraglutide.

Relationship between the cholesterol and triglyceride content of lipoprotein subclasses and carotid intima-media thickness: Results from the Kyushu and Okinawa Population Study (KOPS)

Background and Aims : The association between 20 lipoprotein cholesterol and triglycerides subclasses and carotid intimal medial thickness (cIMT) progression has not been evaluated fully. Our goal was to assess which lipoprotein subclasses were associated with max cIMT levels.

Lipoprotein Subclasses Independently Contribute to Subclinical Variance of Microvascular and Macrovascular Health.

Lipoproteins are important cardiovascular (CV) risk biomarkers. This study aimed to investigate the associations of lipoprotein subclasses with micro- and macrovascular biomarkers to better understand how these subclasses relate to atherosclerotic CV diseases. One hundred and fifty-eight serum samples from the EXAMIN AGE study, consisting of healthy individuals and CV risk patients, were analysed with nuclear magnetic resonance (NMR) spectroscopy to quantify lipoprotein subclasses. Microvascular health was quantified by measuring retinal arteriolar and venular diameters. Macrovascular health was quantified by measuring carotid-to-femoral pulse wave velocity (PWV). Nineteen lipoprotein subclasses showed statistically significant associations with retinal vessel diameters and nine with PWV. These lipoprotein subclasses together explained up to 26% of variation (R2 = 0.26, F(29,121) = 2.80, p < 0.001) in micro- and 12% (R2 = 0.12, F(29,124) = 1.70, p = 0.025) of variation in macrovascular health. High-density (HDL-C) and low-density lipoprotein cholesterol (LDL-C) as well as triglycerides together explained up to 13% (R2 = 0.13, F(3143) = 8.42, p < 0.001) of micro- and 8% (R2 = 0.08, F(3145) = 5.46, p = 0.001) of macrovascular variation. Lipoprotein subclasses seem to reflect micro- and macrovascular end organ damage more precisely as compared to only measuring HDL-C, LDL-C and triglycerides. Further studies are needed to analyse how the additional quantification of lipoprotein subclasses can improve CV risk stratification and CV disease prediction.

Lipoprotein subfractions and subclinical vascular health in middle aged women: does menopause status matter?

During midlife, women experience changes in lipoprotein profiles and deterioration in vascular health measures. We analyzed the associations of groups of lipoprotein subfractions as determined by principal component analysis (PCA) with subclinical vascular health measures in midlife women and tested if these associations were modified by menopause status. PCA was used to generate principal components (PCs) from 12 lipoprotein subfractions quantified among 545 midlife women. The associations of the identified PCs and concurrent vascular health measures were assessed using linear or logistic regressions among participants with carotid intima-media thickness (cIMT; n = 259), coronary artery calcium (n = 249), or aortic calcium (n = 248) scores. PCA generated four PCs representing groups of (1) small, medium, and large very low-density lipoproteins subclasses-very low-density lipoprotein PC; (2) very small, small, and medium low-density lipoprotein (LDL) subclasses-small-medium LDL-PC; (3) large and small high-density lipoproteins subclasses and midzone particles-high-density lipoprotein PC; and (4) large LDL and small intermediate-density lipoproteins-large LDL-PC. Small-medium LDL-PC was positively associated with cIMT, coronary artery calcium, and aortic calcium in unadjusted but not in adjusted models. Menopause status modified the positive association of the small-medium LDL-PC with cIMT (interaction P = 0.02) such that this association was stronger after versus before menopause ( P = 0.01). Carotid intimal medial thickening is positively and independently associated with small- and medium-sized LDL particles after menopause. Monitoring levels of specific lipoprotein fractions may have value in identifying midlife women at risk for developing atherosclerotic vascular disease.

A Randomized Trial of ω-3 Fatty Acid Supplementation and Circulating Lipoprotein Subclasses in Healthy Older Adults

Omega-3 (n-3) PUFAs are recognized for triglyceride-lowering effects in people with dyslipidemia, but it remains unclear if n-3-PUFA intake influences lipoprotein profiles in older adults without hypertriglyceridemia. The objective was to determine the effect of n-3-PUFA supplementation on plasma lipoprotein subfractions in healthy older men and women in the absence of cardiovascular disease (CVD) or hypertriglyceridemia. This was a secondary analysis and considered exploratory. Thirty young (20-35 y old) and 54 older (65-85 y old) men and women were enrolled in the study. Fasting plasma samples were collected. After baseline sample collection, 44 older adults were randomly assigned to receive either n-3-PUFA ethyl esters (3.9g/d) or placebo (corn oil) for 6 mo. Pre- and postintervention plasma samples were used for quantitative lipoprotein subclass analysis using high-resolution proton NMR spectroscopy. The number of large, least-dense LDL particles decreased 17%-18% with n-3 PUFAs compared with placebo (<1% change; P<0.01). The number of small, dense LDL particles increased 26%-44% with n-3 PUFAs compared with placebo (∼11% decrease; P<0.01). The cholesterol content of large HDL particles increased by 32% with n-3 PUFAs and by 2% in placebo (P<0.01). The cholesterol content of small HDL particles decreased by 23% with n-3 PUFAs and by 2% in placebo (P<0.01). Despite increasing abundance of small, dense LDL particles that are associated with CVD risk, n-3 PUFAs reduced total triglycerides, maintained HDL, reduced systolic blood pressure, and shifted the HDL particle distribution toward a favorable cardioprotective profile in healthy older adults without dyslipidemia. This study suggests potential benefits of n-3-PUFA supplementation to lipoprotein profiles in healthy older adults without dyslipidemia, which should be considered when weighing the potential health benefits against the cost and ecological impact of widespread use of n-3-PUFA supplements.This trial was registered at clinicaltrials.gov as NCT03350906.

Lipoprotein profiles associated with exposure to poly- and perfluoroalkyl substances (PFASs) in the EuroMix human biomonitoring study

Exposure to per- and polyfluoroalkyl substances (PFASs) is associated with increased blood cholesterol. Although elevated cholesterol is a well-established risk factor for cardiovascular diseases (CVD), it is not clear whether PFASs affect this risk. Lipoprotein subclasses are emerging biomarkers for disease risk and lipoprotein profiling may provide an insight to physiological implications of PFAS exposure. We explored the association between serum PFAS concentrations and lipoprotein subclasses in a cross-sectional study. We determined the concentrations and lipid composition of the major subclasses of lipoproteins in plasma samples from 127 adult participants of the EuroMix human biomonitoring study by nuclear magnetic resonance (NMR). Serum concentrations of 17 PFASs showed a detection frequency between 30 and 100% and were included in further analyses. We examined the associations between PFAS concentrations and lipoprotein subclasses by linear mixed-effect regression models, adjusted for confounders. In the adjusted models, positive associations were found between several PFASs and cholesterol concentrations in large to medium sized HDL and medium sized LDL particles. We found a 4–12% increase in HDL cholesterol per interquartile range (IQR) increase for several PFASs. In women the associations with PFNA, PFUnDA, PFDoDA and PFOS were significant after adjustment for multiple comparisons. Similar magnitude of change was observed between longer chained PFASs and LDL cholesterol, and a few of these associations reached significance for cholesterol in large to medium LDL particle sizes in women. No significant associations with plasma triglycerides were observed. However, most PFASs tended to be associated with reduction in VLDL (very low-density lipoproteins) particle number and VLDL triglyceride. Findings from this exploratory study, suggest that background PFAS exposures influence particle size distributions and lipid composition of plasma lipoprotein subclasses, and that these effects may be more prominent in women. A two-points lipoprofiling for all subjects indicated both low intra-individual variability and good analytical reproducibility.

High-Density Lipoprotein Particle Subclasses in Statin-Treated Patients with Peripheral Artery Disease Predict Long-Term Survival.

Low-density lipoprotein-cholesterol reduction showed a strong reduction of cardiovascular (CV) event rates in CV disease. However, the residual risk of future CV events remains high, which especially extends to peripheral arterial disease (PAD). Nuclear magnetic resonance (NMR) spectroscopy offers a novel method for analysis of the lipoprotein spectrum. This study investigates lipoprotein subclasses using NMR spectroscopy and assesses implications for long-term survival in PAD. NMR spectroscopy was performed by Nightingale Inc., in 319 patients with stable PAD and well-controlled CV risk factors. Patients were followed-up for 10 years. During that period, 123 patients (38.5%) died, of those 68 (21.3%) were defined as CV deaths. Outcome data were analyzed by the Kaplan-Meier method and multivariable Cox-regression for lipoprotein particles. Small and medium high-density lipoprotein-particles (S-HDL-P and M-HDL-P) showed a significant inverse association with all-cause mortality in Cox-regression analyses after multivariable adjustment (S-HDL-P, hazard ratio [HR]: 0.71, 95% confidence interval [CI]: 0.57-0.88; M-HDL-P, HR: 0.72, 95% CI: 0.58-0.90) for each increase of one standard deviation. In contrast, cholesterol-rich X-large HDL-particles (XL-HDL-P) showed a positive association with all-cause mortality (HR: 1.51, 95% CI: 1.20-1.89). Only the association between XL-HDL-P and CV death sustained multivariable adjustment (HR: 1.49, 95% CI: 1.10-2.02), whereas associations for S-HDL-P and M-HDL-P were attenuated (HR: 0.76, 95% CI: 0.57-1.01; HR: 0.80, 95% CI: 0.60-1.06). This study shows a novel association for a beneficial role of S-HDL-P and M-HDL-P but a negative association with higher cholesterol-rich XL-HDL-P for long-term outcome in well-treated patients with PAD. Thus, these results provide evidence that NMR-measured HDL particles identify patients at high CV residual risk beyond adequate lipid-lowering therapy.

Metabolomics profile of 5649 users and nonusers of hormonal intrauterine devices in Finland

Use of hormonal intrauterine devices has grown during the last decades. Although hormonal intrauterine devices act mostly via local effects on the uterus, measurable concentrations of levonorgestrel are absorbed into the systemic circulation. The possible metabolic changes and large-scale biomarker profiles associated with hormonal intrauterine devices have not yet been studied in detail. To examine through the metabolomics approach the metabolic profile of patients using hormonal intrauterine devices and how this metabolic profile is affected by duration and discontinuation of use. The study consisted of cross-sectional analyses of 5 population-based surveys (FINRISK and FinHealth studies), spanning from 1997 to 2017. All fertile-aged participants (18-49 years) in the surveys with available information on hormonal contraceptive use and metabolomics data (n=5649) were included in the study. Altogether, 211 metabolic measures of users of hormonal intrauterine devices (n=1006) were compared with those of nonusers of hormonal contraception (n=4643) via multivariable linear regression models. To allow comparison across multiple measures, association magnitudes were reported in standard deviation units of difference in biomarker concentration compared with the reference group. After adjustment for covariates, levels of 141 metabolites differed in current users of hormonal intrauterine devices compared with nonusers of hormonal contraception (median difference in biomarker concentration, 0.09 standard deviation): lower levels of particle concentration of larger lipoprotein subclasses, triglycerides, cholesterol and derivatives, apolipoproteins A and B, fatty acids, glycoprotein acetyls, and aromatic amino acids. The metabolic pattern of hormonal intrauterine device use did not change according to duration of use. When comparing previous users and never-users of hormonal intrauterine devices, no significant metabolic differences were observed. The use of hormonal intrauterine devices was associated with several moderate metabolic changes previously associated with reduced arterial cardiometabolic risk. The metabolic effects were independent of duration of use of the hormonal intrauterine devices. Moreover, the metabolic profiles were similar after discontinuation of hormonal intrauterine device use and in never-users.

404-P: Relationships among Triglyceride (TG) Concentrations across Lipoprotein Subclasses, Intraglomerular Hemodynamics, and Kidney Oxygen Availability in Adolescents with Type 1 Diabetes (T1D)

TG concentrations across lipoprotein subclasses associate with diabetic kidney disease (DKD) in adults with T1D, but little is known about this relationship in youth with T1D. We evaluated cross-sectional relationships among TG concentrations across lipoprotein subclasses, intraglomerular hemodynamics, and renal oxygen availability (RO2) in youth with T1D. Glomerular filtration rate (GFR) , RO2, renal plasma flow (RPF) , afferent arteriolar resistance (RA) , efferent arteriolar resistance (RE) , intraglomerular pressure (PGLO) , and urine albumin-to-creatinine ratio (UACR) were assessed. Concentrations of lipid constituents from lipoprotein subclasses were quantified via targeted nuclear magnetic resonance spectroscopy (Nightingale Health Ltd., Helsinki, Finland) . Particle sizes for VLDL, LDL, intermediate-density lipoprotein, and HDL were measured. Fifty youth with T1D (age 16.0 ± 3.0 years, 50% female, HbA1c 8.7 ± 1.3%, T1D duration 5.7 ± 2.6 years) and 20 without T1D were included. VLDL-TG concentrations and small LDL-TG correlated with intraglomerular hemodynamic function parameters and RO2. To conclude, strong relationships were found among renal function markers and TG concentrations across lipoprotein subclasses in adolescents with T1D. Disclosure M.E.Pauley: None. K.L.Tommerdahl: None. C.Vinovskis: None. L.Pyle: None. R.Wadwa: Advisory Panel; Dompé, Consultant; Beta Bionics, Inc., Other Relationship; Tandem Diabetes Care, Inc., Research Support; Dexcom, Inc., Eli Lilly and Company, Tandem Diabetes Care, Inc. R.G.Nelson: None. K.J.Nadeau: None. P.Bjornstad: Advisory Panel; AstraZeneca, Bayer AG, Boehringer Ingelheim International GmbH, Horizon Therapeutics plc, LG Chem, Lilly, Novo Nordisk, Consultant; AstraZeneca, Bristol-Myers Squibb Company. Funding MEP supported by NIH (T32DK063687) ; KLT supported by NIH (K23 HL159292) , Children’s Hospital Colorado Research Institute Research Scholar Award, University of Colorado Diabetes Research Center (P30 DK116073) , Ludeman Family Center for Women’s Health Research at the University of Colorado, and Dept of Pediatrics, Section of Endocrinology at University of Colorado School of Medicine; PB supported by NIDDK (RDK129211, R21 DK129720, K23 DK116720, UC DK114886, and P30 DK116073) , JDRF (2-SRA-2019-845-S-B, 3-SRA-2017-424-M-B, 3-SRA-2022-1097-M-B) , Boettcher Foundation, American Heart Association (20IPA35260142) , Ludeman Family Center for Women’s Health Research at the University of Colorado, Department of Pediatrics, Section of Endocrinology and Barbara Davis Center for Diabetes at University of Colorado School of Medicine

Development of internal standard for lipoprotein subclass analysis using dual detection gel-permeation high-performance liquid chromatography system.

The LipoSEARCH® System is an innovative lipoprotein class analysis method based on gel-permeation high-performance liquid chromatography (HPLC). This system uses a gel permeation column to separate the major lipoprotein subclasses (chylomicron, very low-density lipoprotein, low-density lipoprotein, and high-density lipoprotein) in serum according to particle size and splits them into two pathways to measure total cholesterol (TC; esterified + unesterified cholesterol) and triglyceride (TG) concentrations simultaneously to obtain chromatograms for each.These chromatograms were analyzed based on the results of the calibration serum by fitting Gaussian curves to profile the 20 lipoprotein subclasses defined in detail. An important assumption of this HPLC system is its simultaneous detection of two pathways to guarantee the accuracy of each analysis. Therefore, in the present study, we investigated the development of an internal standard that can guarantee the simultaneous detection of this system by adding a pigment to the serum. We focused on quinone pigments with absorption at 550 nm, which is the wavelength used for the enzymatic assay of TC and TG concentrations in the system. As a result, we succeeded in producing overlapping pigment peaks that appeared after the analytical chromatograms in two pathways. It is also suggested that the pigment solution as an internal standard is stable in freezing storage and has little effect on the analysis. The developed internal standard is expected to contribute to the accuracy assurance of lipoprotein analysis by this dual-detection HPLC system.