The association of circulating lipoprotein lipids and apolipoproteins with risk of endometriosis: a Mendelian randomization study.

BACKGROUND: Endometriosis is a poorly understood disease that affects up to 196 million women worldwide and imposes high costs in terms of economic burden and quality of life of women. Traits of circulating lipids have been related to the onset and progression of endometriosis in previous observational studies but the results have remained contradictory. METHODS: We performed univariable and multivariable Mendelian randomization (MR) analyses using instrument variables to genetically predict the associations of low-density lipoprotein (LDL) and high-density lipoprotein (HDL) cholesterol, triglycerides, and apolipoprotein (apo) A-I and B from the UK Biobank with endometriosis (consisting of 8288 cases and 68 969 controls from the FinnGen consortium). The inverse-variance weighted (IVW) method was used as the primary estimate, whereas MR-Egger and weighted median were conducted as complements to the IVW model. RESULTS: Increased levels of triglycerides were associated with higher risk of endometriosis and endometriosis of the pelvic peritoneum in the univariable MR analyses. In multivariable MR analysis including apoB, LDL cholesterol, and triglycerides in the same model, triglycerides still retained a robust effect. Decreased levels of apoA-I and HDL cholesterol were associated with increased risk of endometriosis and endometriosis of the pelvic peritoneum in univariable MR analyses. After mutual adjustment, HDL cholesterol retained a robust effect whereas the association for apoA-I was attenuated. CONCLUSIONS: This is the first MR-based evidence to suggest that triglycerides and HDL cholesterol are the predominant traits that account for the aetiological relationship of lipoprotein lipids with risk of endometriosis, in particular endometriosis of the pelvic peritoneum. Further well-designed randomized controlled trials are needed to address these results.

Highly Atherogenic Lipid Particles are Associated with Preeclampsia After Successful Fertility Treatment for Obese Women who have Unexplained Infertility.

Atherogenic dyslipidemia-before or during pregnancy-may contribute to preeclampsia and subsequent cardiovascular disease risk. We performed a nested case-control study to further understand dyslipidemia associated with preeclampsia. The cohort consisted of participants in the randomized clinical trial "Improving Reproductive Fitness Through Pretreatment with Lifestyle Modification in Obese Women with Unexplained Infertility" (FIT-PLESE). FIT-PLESE was designed to study the effect of a pre-fertility treatment 16-week randomized lifestyle intervention program (Nutrisystem diet + exercise + orlistat vs. training alone) on improvement in live birth rate among obese women with unexplained infertility. Of the 279 patients in FIT-PLESE, 80 delivered a viable infant. Maternal serum was analyzed across five visits: before and after lifestyle interventions and also at three pregnancy visits (16, 24, and 32 weeks gestation). Apolipoprotein lipids were measured in a blinded fashion using ion mobility. Cases were those who developed preeclampsia. Controls also had a live birth but did not develop preeclampsia. Generalized linear and mixed models with repeated measures were used to compare the mean lipoprotein lipid levels of the two groups across all visits. Complete data were available for 75 pregnancies, and preeclampsia developed in 14.5% of the pregnancies. Cholesterol/high-density lipoprotein (HDL) ratios (p < 0.003), triglycerides (p = 0.012), and triglyceride/HDL ratios, all adjusted for BMI, were worse in patients with preeclampsia (p < 0.001). Subclasses a, b, and c of highly atherogenic, very small, low-density lipoprotein (LDL) particles were higher during pregnancy for the preeclamptic women (p < 0.05). Very small LDL particle subclass d levels were significantly greater only at 24 weeks (p = 0.012). The role of highly atherogenic, very small LDL particle excess in the pathophysiology of preeclampsia awaits further investigation.

Apt interpretation of comprehensive lipoprotein data in large-scale epidemiology: disclosure of fundamental structural and metabolic relationships.

BACKGROUND: Quantitative lipoprotein analytics using nuclear magnetic resonance (NMR) spectroscopy is currently commonplace in large-scale studies. One methodology has become widespread and is currently being utilized also in large biobanks. It allows the comprehensive characterization of 14 lipoprotein subclasses, clinical lipids, apolipoprotein A-I and B. The details of these data are conceptualized here in relation to lipoprotein metabolism with particular attention on the fundamental characteristics of subclass particle numbers, lipid concentrations and compositional measures. METHODS AND RESULTS: The NMR methodology was applied to fasting serum samples from Northern Finland Birth Cohorts 1966 and 1986 with 5651 and 5605 participants, respectively. All results were highly consistent between the cohorts. Circulating lipid concentrations in a particular lipoprotein subclass arise predominantly as the result of the circulating number of those subclass particles. The spherical lipoprotein particle shape, with a radially oriented surface monolayer, imposes size-dependent biophysical constraints for the lipid composition of individual subclass particles and inherently restricts the accommodation of metabolic changes via compositional modifications. The new finding that the relationship between lipoprotein subclass particle concentrations and the particle size is log-linear reveals that circulating lipoprotein particles are also under rather strict metabolic constraints for both their absolute and relative concentrations. CONCLUSIONS: The fundamental structural and metabolic relationships between lipoprotein subclasses elucidated in this study empower detailed interpretation of lipoprotein metabolism. Understanding the intricate details of these extensive data is important for the precise interpretation of novel therapeutic opportunities and for fully utilizing the potential of forthcoming analyses of genetic and metabolic data in large biobanks.

Saturated fats and cardiovascular health: Current evidence and controversies.

A diet high in saturated fatty acids (SFA) is a suspected contributor to atherosclerotic cardiovascular disease (ASCVD) risk, in large part because of an effect to raise the low-density lipoprotein cholesterol (LDL-C) concentration. Most dietary guidance from health authorities advocates limiting intake of SFA, particularly for people with clinical ASCVD, dyslipidemia, or diabetes mellitus. However, recent reviews have highlighted controversies regarding SFA intake and cardiovascular health. This brief editorial commentary includes a discussion of the evidence regarding SFA intake and cardiovascular health, outlines gaps in the available evidence, and proposes tentative conclusions based on what is known today about SFA consumption and ASCVD risk. Results from observational studies demonstrate that dietary patterns with lower average intakes of SFA are associated with favorable cardiovascular outcomes. Additionally, although the number of randomized controlled trials testing the effects of reducing SFA intake on ASCVD outcomes is limited, the available evidence supports the view that replacing SFA with unsaturated fatty acids, particularly polyunsaturated fatty acids, may reduce ASCVD risk. Beyond raising LDL-C and atherogenic lipoprotein particle concentrations, higher intakes of SFA may influence pathways affecting inflammation, cardiac rhythm, hemostasis, apolipoprotein CIII production, and high-density lipoprotein function. However, the impacts of these effects on ASCVD risk remain uncertain. In the authors' view, the totality of the evidence supports the current recommendation to limit SFA intake to <10% of total daily energy for the general healthy population and further (e.g., to 5-6% of total daily energy) for patients with hypercholesterolemia.

Metabolic profiling of angiopoietin-like protein 3 and 4 inhibition: a drug-target Mendelian randomization analysis.

AIMS: Angiopoietin-like protein 3 (ANGPTL3) and 4 (ANGPTL4) inhibit lipoprotein lipase (LPL) and represent emerging drug targets to lower circulating triglycerides and reduce cardiovascular risk. To investigate the molecular effects of genetic mimicry of ANGPTL3 and ANGPTL4 inhibition and compare them to the effects of genetic mimicry of LPL enhancement. METHODS AND RESULTS: Associations of genetic variants in ANGPTL3 (rs11207977-T), ANGPTL4 (rs116843064-A), and LPL (rs115849089-A) with an extensive serum lipid and metabolite profile (208 measures) were characterized in six cohorts of up to 61 240 participants. Genetic associations with anthropometric measures, glucose-insulin metabolism, blood pressure, markers of kidney function, and cardiometabolic endpoints via genome-wide summary data were also explored. ANGPTL4 rs116843064-A and LPL rs115849089-A displayed a strikingly similar pattern of associations across the lipoprotein and lipid measures. However, the corresponding associations with ANGPTL3 rs11207977-T differed, including those for low-density lipoprotein and high-density lipoprotein particle concentrations and compositions. All three genotypes associated with lower concentrations of an inflammatory biomarker glycoprotein acetyls and genetic mimicry of ANGPTL3 inhibition and LPL enhancement were also associated with lower C-reactive protein. Genetic mimicry of ANGPTL4 inhibition and LPL enhancement were associated with a lower waist-to-hip ratio, improved insulin-glucose metabolism, and lower risk of coronary heart disease and type 2 diabetes, whilst genetic mimicry of ANGPTL3 was associated with improved kidney function. CONCLUSIONS: Genetic mimicry of ANGPTL4 inhibition and LPL enhancement have very similar systemic metabolic effects, whereas genetic mimicry of ANGPTL3 inhibition showed differing metabolic effects, suggesting potential involvement of pathways independent of LPL. Genetic mimicry of ANGPTL4 inhibition and LPL enhancement were associated with a lower risk of coronary heart disease and type 2 diabetes. These findings reinforce evidence that enhancing LPL activity (either directly or via upstream effects) through pharmacological approaches is likely to yield benefits to human health.

A genome-wide association study of childhood adiposity and blood lipids.

Background: The rising prevalence of childhood obesity and dyslipidaemia is a major public health concern due to its association with morbidity and mortality in later life. Previous studies have found that genetic variants inherited at birth can begin to exert their effects on cardiometabolic traits during the early stages of the lifecourse. Methods: In this study, we have conducted genome-wide association studies (GWAS) for eight measures of adiposity and lipids in a cohort of young individuals (mean age 9.9 years, sample sizes=4,202 to 5,766) from the Avon Longitudinal Study of Parents and Children (ALSPAC). These measures were body mass index (BMI), systolic and diastolic blood pressure, high- density and low-density lipoprotein cholesterol, triglycerides, apolipoprotein A-I and apolipoprotein B. We next undertook functional enrichment, pathway analyses and linkage disequilibrium (LD) score regression to evaluate genetic correlations with later-life cardiometabolic diseases. Results: Using GWAS we identified 14 unique loci associated with at least one risk factor in this cohort of age 10 individuals (P<5x10 -8), with lipoprotein lipid-associated loci being enriched for liver tissue-derived gene expression and lipid synthesis pathways. LD score regression provided evidence of various genetic correlations, such as childhood systolic blood pressure being genetically correlated with later-life coronary artery disease (rG=0.26, 95% CI=0.07 to 0.46, P=0.009) and hypertension (rG=0.37, 95% CI=0.19 to 0.55, P=6.57x10 -5), as well as childhood BMI with type 2 diabetes (rG=0.35, 95% CI=0.18 to 0.51, P=3.28x10 -5). Conclusions: Our findings suggest that there are genetic variants inherited at birth which begin to exert their effects on cardiometabolic risk factors as early as age 10 in the life course. However, further research is required to assess whether the genetic correlations we have identified are due to direct or indirect effects of childhood adiposity and lipid traits.

Effects of Consuming Almonds on Insulin Sensitivity and Other Cardiometabolic Health Markers in Adults With Prediabetes.

Objective: This study was designed to assess the effects of replacing high-carbohydrate (CHO) foods with raw almonds on insulin sensitivity and cardiometabolic health markers in overweight or obese adults with prediabetes.Method: This randomized crossover study consisted of two 6-week dietary intervention periods, separated by a ≥ 4-week washout. Subjects incorporated 1.5 oz of raw almonds twice daily or isocaloric CHO-based foods into their diets, with instructions to maintain body weight. Dietary intakes as well as insulin sensitivity, CHO metabolism indices, lipoprotein lipids and particles, and inflammatory markers were assessed.Results: Thirty-three subjects (17 male, 16 female), mean age 48.3 ± 2.2 years and body mass index 30.5 ± 0.7 kg/m2, provided evaluable data. Compared to CHO, almonds resulted in significantly (p < 0.01) higher intakes of protein, fat (unsaturated fatty acids), fiber, and magnesium and significantly (p < 0.001) lower intakes of CHO and sugars. No differences were observed between diet conditions for changes from baseline in the insulin sensitivity index from a short intravenous glucose tolerance test or other indices of glucose homeostasis. No significant differences were observed in biomarkers of cardiovascular risk except that the CHO intervention led to a shift toward a higher concentration of cholesterol in small, dense low-density lipoprotein subfraction 3+4 (LDL3 + 4) particles (p = 0.024 vs almonds).Conclusions: Intake of 3.0 oz/d raw almonds, vs energy-matched CHO foods, improved the dietary nutrient profile, but did not significantly affect insulin sensitivity and most markers of cardiometabolic health in overweight and obese men and women with prediabetes.

Cognition, psychosis risk and metabolic measures in two adolescent birth cohorts.

BACKGROUND: Psychoses, especially schizophrenia, are often preceded by cognitive deficits and psychosis risk states. Altered metabolic profiles have been found in schizophrenia. However, the associations between metabolic profiles and poorer cognitive performance and psychosis risk in the population remain to be determined. METHODS: Detailed molecular profiles were measured for up to 8976 individuals from two general population-based prospective birth cohorts: the Northern Finland Birth Cohort 1986 (NFBC 1986) and the Avon Longitudinal Study of Parents and Children (ALSPAC). A high-throughput nuclear magnetic resonance spectroscopy platform was used to quantify 70 metabolic measures at age 15-16 years in the NFBC 1986 and at ages 15 and 17 years in ALSPAC. Psychosis risk was assessed using the PROD-screen questionnaire at age 15-16 years in the NFBC 1986 or the psychotic-like symptoms assessment at age 17 years in ALSPAC. Cognitive measures included academic performance at age 16 years in both cohorts and general intelligence and executive function in ALSPAC. Logistic regression measured cross-sectional and longitudinal associations between metabolic measures and psychosis risk and cognitive performance, controlling for important covariates. RESULTS: Seven metabolic measures, primarily fatty acid (FA) measures, showed cross-sectional associations with general cognitive performance, four across both cohorts (low density lipoprotein diameter, monounsaturated FA ratio, omega-3 ratio and docosahexaenoic acid ratio), even after controlling for important mental and physical health covariates. Psychosis risk showed minimal metabolic associations. CONCLUSIONS: FA ratios may be important in marking risk for cognitive deficits in adolescence. Further research is needed to clarify whether these biomarkers could be causal and thereby possible targets for intervention.

Assessing Cardiovascular Disease Risk and Responses to Preventive Therapies in Clinical Practice.

PURPOSE OF REVIEW: The aims of this review are to provide perspective on evaluation of relative and absolute cardiovascular disease (CVD) risk reductions for assessing the efficacy of preventive therapies and to summarize methods for evaluation of CVD risk in clinical practice. RECENT FINDINGS: Major CVD risk factors can be used to stratify patients into risk categories. Results from recent trials reinforce the view that benefits of preventive therapies will be greatest in those with the highest absolute risk and in those with the most severe disturbance in the risk factor targeted. In evaluating clinical utility, it is necessary to assess the impact of an intervention on both relative and absolute risk. Quantitative risk scoring using major CVD risk factors is effective for identifying those at low, moderate, and high CVD risk. When there is uncertainty about the appropriate treatment strategy, additional testing may be used to refine risk assessment. This may include measurement of inflammatory markers, subclinical indicators of atherosclerosis (e.g., coronary artery calcium and ankle brachial index), urinary albumin/creatinine ratio, and the level of lipoprotein (a). The benefit of a preventive therapy will generally be the greatest in those with the highest absolute risk and in those with the most severe disturbance in the risk factor targeted. Quantitative risk scoring with major CVD risk factors can be supplemented with additional testing for refinement of risk assessment in patients for whom decisions about pharmacotherapy, or the intensity of therapy, for risk factor modification are uncertain.

Metabolic profiling of pregnancy: cross-sectional and longitudinal evidence.

BACKGROUND: Pregnancy triggers well-known alterations in maternal glucose and lipid balance but its overall effects on systemic metabolism remain incompletely understood. METHODS: Detailed molecular profiles (87 metabolic measures and 37 cytokines) were measured for up to 4260 women (24-49 years, 322 pregnant) from three population-based cohorts in Finland. Circulating molecular concentrations in pregnant women were compared to those in non-pregnant women. Metabolic profiles were also reassessed for 583 women 6 years later to uncover the longitudinal metabolic changes in response to change in the pregnancy status. RESULTS: Compared to non-pregnant women, all lipoprotein subclasses and lipids were markedly increased in pregnant women. The most pronounced differences were observed for the intermediate-density, low-density and high-density lipoprotein triglyceride concentrations. Large differences were also seen for many fatty acids and amino acids. Pregnant women also had higher concentrations of low-grade inflammatory marker glycoprotein acetyls, higher concentrations of interleukin-18 and lower concentrations of interleukin-12p70. The changes in metabolic concentrations for women who were not pregnant at baseline but pregnant 6 years later (or vice versa) matched (or were mirror-images of) the cross-sectional association pattern. Cross-sectional results were consistent across the three cohorts and similar longitudinal changes were seen for 653 women in 4-year and 497 women in 10-year follow-up. For multiple metabolic measures, the changes increased in magnitude across the three trimesters. CONCLUSIONS: Pregnancy initiates substantial metabolic and inflammatory changes in the mothers. Comprehensive characterisation of normal pregnancy is important for gaining understanding of the key nutrients for fetal growth and development. These findings also provide a valuable molecular reference in relation to studies of adverse pregnancy outcomes.

Computational studies of plasma lipoprotein lipids.

Plasma lipoproteins are macromolecular assemblies of proteins and lipids found in the blood. The lipid components of lipoproteins are amphipathic lipids such as phospholipids (PLs), and unesterified cholesterols (UCs) and hydrophobic lipids such as cholesteryl esters (CEs) and triglycerides (TGs). Since lipoproteins are soft matter supramolecular assemblies easily deformable by thermal fluctuations and they also exist in varying densities and protein/lipid components, a detailed understanding of their structure/function is experimentally difficult. Molecular dynamics (MD) simulation has emerged as a particularly promising way to explore the structure and dynamics of lipoproteins. The purpose of this review is to survey the current status of computational studies of the lipid components of the lipoproteins. Computational studies aim to explore three levels of complexity for the 3-dimensional structural dynamics of lipoproteins at various metabolic stages: (i) lipoprotein particles consist of protein with minimal lipid; (ii) lipoprotein particles consist of PL-rich discoidal bilayer-like lipid particles; (iii) mature circulating lipoprotein particles consist of CE-rich or TG-rich spheroidal lipid-droplet-like particles. Due to energy barriers involved in conversion between these species, other biomolecules also participate in lipoprotein biological assembly. For example: (i) lipid-poor apolipoprotein A-I (apoA-I) interacts with ATP-binding cassette transporter A1 (ABCA1) to produce nascent discoidal high density lipoprotein (dHDL) particles; (ii) lecithin-cholesterol acyltransferase (LCAT) mediates the conversion of UC to CE in dHDL, driving spheroidal HDL (sHDL) formation; (iii) transfer proteins, cholesterol ester transfer protein (CETP) and phospholipid transfer protein (PLTP), transfer both CE and TG and PL, respectively, between lipoprotein particles. Computational studies have the potential to explore different lipoprotein particles at each metabolic stage in atomistic detail. This review discusses the current status of computational methods including all-atom MD (AAMD), coarse-grain MD (CGMD), and MD-simulated annealing (MDSA) and their applications in lipoprotein structural dynamics and biological assemblies. Results from MD simulations are discussed and compared across studies in order to identify key findings, controversies, issues and future directions. This article is part of a Special Issue entitled: Biosimulations edited by Ilpo Vattulainen and Tomasz Róg.

Effects of Vegetarian Diets on Blood Lipids: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

BACKGROUND: Vegetarian diets exclude all animal flesh and are being widely adopted by an increasing number of people; however, effects on blood lipid concentrations remain unclear. This meta-analysis aimed to quantitatively assess the overall effects of vegetarian diets on blood lipids. METHODS AND RESULTS: We searched PubMed, Scopus, Embase, ISI Web of Knowledge, and the Cochrane Library through March 2015. Studies were included if they described the effectiveness of vegetarian diets on blood lipids (total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and triglyceride). Weighted mean effect sizes were calculated for net changes by using a random-effects model. We performed subgroup and univariate meta-regression analyses to explore sources of heterogeneity. Eleven trials were included in the meta-analysis. Vegetarian diets significantly lowered blood concentrations of total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and non-high-density lipoprotein cholesterol, and the pooled estimated changes were -0.36 mmol/L (95% CI -0.55 to -0.17; P<0.001), -0.34 mmol/L (95% CI -0.57 to -0.11; P<0.001), -0.10 mmol/L (95% CI -0.14 to -0.06; P<0.001), and -0.30 mmol/L (95% CI -0.50 to -0.10; P=0.04), respectively. Vegetarian diets did not significantly affect blood triglyceride concentrations, with a pooled estimated mean difference of 0.04 mmol/L (95% CI -0.05 to 0.13; P=0.40). CONCLUSIONS: This systematic review and meta-analysis provides evidence that vegetarian diets effectively lower blood concentrations of total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and non-high-density lipoprotein cholesterol. Such diets could be a useful nonpharmaceutical means of managing dyslipidemia, especially hypercholesterolemia.

The associations of oxidized high-density lipoprotein lipids with risk factors for atherosclerosis: the Cardiovascular Risk in Young Finns Study.

Scavenging and reverse transport of atherogenic oxidized lipids by high-density lipoprotein (HDL) was recently suggested to contribute to atheroprotection. We investigated the associations of oxidized HDL lipids (oxHDLlipids) with known risk factors for atherosclerosis in a population-based cross-sectional study of 1395 Finnish adults ages 24-39 years (54.9% women). Analysis of oxidized lipids in isolated HDL and LDL (oxLDLlipids) was based on the determination of conjugated dienes. Oxidized LDL was measured also with a method based on antibodies against oxidized Apo-B (oxLDLprot). Serum lipids and risk factors were measured. In multivariable models, oxHDLlipids were associated inversely with age (partial R(2)=2.9% in men, 0.8% in women) and directly with oxLDLlipids (partial R(2)=3.4% in men, 4.2% in women) after adjustment for Apo-A1 (partial R(2)=9.6% in men, 25.2% in women). In men, oxHDLlipids were also associated inversely with insulin (partial R(2)=1.1%). In women, oxHDLlipids were additionally inversely associated with waist circumference (partial R(2)=1.8%) and daily smoking (partial R(2)=0.7%) and directly with C-reactive protein (CRP; partial R(2)=0.5%) and alcohol use (partial R(2)=0.5%). We conclude that an elevated risk profile characterized primarily by advanced age is associated with lower oxHDLlipid levels in a population of young Finnish men and women. Higher levels of oxHDLlipids are additionally associated with higher oxLDLlipid levels. In men, higher insulin levels are also associated with lower oxHDLlipid levels. In women, increased waist circumference and daily smoking are also associated with lower oxHDLlipid levels, and higher CRP levels and alcohol use are associated with higher oxHDLlipid levels.