Vascular risk factors and renal failure

Patients with chronic kidney disease (CKD) have a substantially increased risk of cardiovascular disease (CVD) compared with the general population. The high prevalence of established traditional risk factors for atherosclerosis (diabetes, hypertension, dyslipidemia) in these patients undoubtedly contributes to the accelerated rate of vascular disease. In addition, several hypotheses have emerged to explain the high prevalence of CVD in patients with chronic renal failure. Growing evidence has been gathered over the last 15 years regarding the role of uremia-related risk factors such as inflammation and oxidant stress in the pathogenesis of atherosclerosis in subjects with renal failure. This paper will review current knowledge regarding the potential role of these non-traditional or uremia-related risk factors for atherosclerosis with special emphasis on prevalence, cardiac risk, and management in patients with CKD.     

Age trends in prevalence of cardiovascular risk factors in Roma minority population of Croatia

The Roma (Gypsy) are the largest European minority population characterized by poverty, social exclusion as well as by numerous life-style and cultural specificities, which all could have an adverse impact on their cardiovascular health. This study assesses the prevalence of cardiovascular diseases (CVD) risk factors in community-based sample of 430 adult Roma, living in rural area of Croatia, by providing the actual and age-adjusted estimates using the European standard population. The most prominent classical CVD risk phenotypes (blood pressure, obesity, smoking, glucose and lipid profile) were selected, and the standard risk cut-offs were applied. The study has shown that compared to general population of Croatia, the Roma population bears a high CVD risk factors load related to smoking and high glucose level. The CVD risk factors prevalence in Roma also showed important sex and age patterns, the most imposing of which are the findings of higher prevalence of CVD risks in women (especially obesity and triglyceride levels) and the trend of higher body mass index (BMI) level in younger age group (18–34 years) which both stand in contrast to the trends characterizing the general population of Croatia. These findings are complemented by the trend of decreased risk in the oldest age group (65+ years) for all investigated CVD risk factors (with exception of triglycerides level) compared to the 50–64 age group. We conclude that the age and sex CVD risks pattern point to the health transition of this rural Roma population. As we expect the proportion of CVD in the Roma minority of Croatia to increase in the future along with further modernization of their lifestyle, the CVD prevention measures in this population are urgent and should be primarily targeted at women and at the younger segment of this population.     

Prospective cohort studies on risk factors for cardiovascular events in systemic lupus erythematosus: a major challenge

Cardiovascular disease (CVD) has been identified as a major contributor to morbidity and mortality in patients with systemic lupus erythematosus (SLE). The etiology of premature CVD in SLE is supposed to have many factors, including traditional coronary artery disease (CAD) risk factors, antiphospholipid antibodies, and metabolic and inflammatory factors. Despite the overwhelming interest in CVD in SLE research, prospective studies evaluating risk factors for hard endpoints (that is, cardiovascular events) are relatively scarce. The article by Gustafsson and colleagues suggests that prothrombotic factors play an important role in SLE-related CVD and that the influence of traditional CAD risk factors might be limited.     

Ethnic disparities in estimated cardiovascular disease risk in Amsterdam,the Netherlands

Background

Ethnic differences have been reported in cardiovascular disease (CVD) risk factors. It is still unclear which ethnic groups are most at risk for CVD when all traditional CVD risk factors are considered together as overall risk.

Objectives

To examine ethnic differences in overall estimated CVD risk and the risk factors that contribute to these differences.

Design

Using data of the multi-ethnic HELIUS study (HEalthy LIfe in an Urban Setting) from Amsterdam, we examined whether estimated CVD risk and risk factors among those eligible for CVD risk estimation differed between participants of Dutch, South Asian Surinamese, African Surinamese, Ghanaian, Turkish and Moroccan origin. Using the Systematic COronary Risk Evaluation (SCORE) algorithm, we estimated risk of fatal CVD and risk of fatal plus non-fatal CVD. These risks were compared between ethnic groups via age-adjusted linear regression analyses.

Results

The SCORE algorithm was applicable to 9,128 participants. Relative to the fatal CVD risk of participants of Dutch origin, South Asian Surinamese participants showed a higher fatal CVD risk, Ghanaian males a lower fatal CVD risk, and participants of other ethnic origins a similar fatal CVD risk. For fatal plus non-fatal CVD risk, African Surinamese and Turkish men also showed a higher risk. When diabetes was incorporated in the CVD risk algorithm, all but Ghanaian men showed a higher CVD risk relative to the participants of Dutch origin (betas ranging from 0.98–3.10%). The CVD risk factors that contribute the most to these ethnic differences varied between ethnic groups.

Conclusion

Ethnic minority groups are at a greater estimated risk of fatal plus non-fatal CVD relative to the group of native Dutch. Further research is necessary to determine whether this will translate to ethnic differences in CVD incidence and, if so, whether ethnic-specific CVD prevention strategies are warranted.

     

Do genetic variations alter the effects of exercise training on cardiovascular disease and can we identify the candidate variants now or in the future?

Cardiovascular disease (CVD) and CVD risk factors are highly heritable, and numerous lines of evidence indicate they have a strong genetic basis. While there is nothing known about the interactive effects of genetics and exercise training on CVD itself, there is at least some literature addressing their interactive effect on CVD risk factors. There is some evidence indicating that CVD risk factor responses to exercise training are also heritable and, thus, may have a genetic basis. While roughly 100 studies have reported significant effects of genetic variants on CVD risk factor responses to exercise training, no definitive conclusions can be generated at the present time, because of the lack of consistent and replicated results and the small sample sizes evident in most studies. There is some evidence supporting "possible" candidate genes that may affect these responses to exercise training: APO E and CETP for plasma lipoprotein-lipid profiles; eNOS, ACE, EDN1, and GNB3 for blood pressure; PPARG for type 2 diabetes phenotypes; and FTO and BAR genes for obesity-related phenotypes. However, while genotyping technologies and statistical methods are advancing rapidly, the primary limitation in this field is the need to generate what in terms of exercise intervention studies would be almost incomprehensible sample sizes. Most recent diabetes, obesity, and blood pressure genetic studies have utilized populations of 10,000-250,000 subjects, which result in the necessary statistical power to detect the magnitude of effects that would probably be expected for the impact of an individual gene on CVD risk factor responses to exercise training. Thus at this time it is difficult to see how this field will advance in the future to the point where robust, consistent, and replicated data are available to address these issues. However, the results of recent large-scale genomewide association studies for baseline CVD risk factors may drive future hypothesis-driven exercise training intervention studies in smaller populations addressing the impact of specific genetic variants on well-defined physiological phenotypes.     

Cardiovascular Disease in Women Update: Ischemia,Diagnostic Testing,and Menopause Hormone Therapy

ObjectiveThis update will address 3 areas specifically that are essential to improving cardiovascular outcomes for women.MethodsThe current literature has been reviewed and three important areas of cardiovascular care in women are highlighted. First is that even though women and men share many traditional risk factors for ischemic heart disease, several of these risk factors affect women disproportionately when it comes to CVD risk and events. There are also unique sex-specific risk factors for women and risk factors that are more common in women than in men. Adverse outcomes of pregnancy and hypertensive disorders of pregnancy are associated with an increased long-term risk of CVD and events. At menopause, cardiovascular risks increase, and lipids become unfavorable. Second is that diagnostic testing for ischemic heart disease presents different specificities and sensitivities between men and women and testing should be determined according to what is best and safest for women. Third is that currently, menopause hormone therapy is approved by the U.S. Food and Drug Administration for the treatment of vasomotor and genitourinary symptoms, prevention of osteoporosis, and estrogen replacement in the setting of surgical menopause, hypogonadism, or premature ovarian insufficiency. It is not recommended for the primary or secondary prevention of CVD and not recommended for women with high atherosclerotic CVD risk.ResultsCardiovascular disease (CVD) remains the most common cause of death in women in the United States despite tremendous improvements in cardiovascular care for men and women. The prevention of CVD in women with early detection and implementation of preventive therapies before atherosclerotic CVD develops is critical to improving outcomes for women.     

Telomere length and cardiovascular risk factors in a middle-aged population free of overt cardiovascular disease

Evidence assembled over the last decade shows that average telomere length (TL) acts as a biomarker for biological aging and cardiovascular disease (CVD) in particular. Although essential for a more profound understanding of the underlying mechanisms, little reference information is available on TL. We therefore sought to provide baseline TL information and assess the association of prevalent CVD risk factors with TL in subjects free of overt CVD within a small age range. We measured mean telomere restriction fragment length of peripheral blood leukocytes in a large, representative Asklepios study cohort of 2509 community-dwelling, Caucasian female and male volunteers aged approximately 35-55 years and free of overt CVD. We found a manifest age-dependent telomere attrition, at a significantly faster rate in men as compared to women. No significant associations were established with classical CVD risk factors such as cholesterol status and blood pressure, yet shorter TL was associated with increased levels of several inflammation and oxidative stress markers. Importantly, shorter telomere length was associated with an increasingly unhealthy lifestyle, particularly in men. All findings were age and gender adjusted where appropriate. With these cross-sectional results we show that TL of peripheral blood leukocytes primarily reflects the burden of increased oxidative stress and inflammation, whether or not determined by an increasingly unhealthy lifestyle, while the association with classical CVD risk factors is limited. This further clarifies the added value of TL as a biomarker for biological aging and might improve our understanding of how TL is associated with CVD.     

The value of studying gene-environment interactions in culturally diverse populations

Cardiovascular disease (CVD) is the leading cause of death and disability in the world. It is anticipated that CVD will reach pandemic proportions by the year 2020. Although the major causes of CVD are well documented and explain the majority of cardiovascular deaths, the prevalence of conventional cardiovascular risk factors vary substantially across diverse cultural groups. These differences are attributed to cultural or genetic differences or to interactions between genes and environmental factors. Substantial efforts have been invested in determining the genetic influences on CVD development, and it is unlikely that a single gene is responsible for the development of atherosclerotic CVD or its classical risk factors such as blood pressure or plasma lipids. It is more plausible that multiple genes, acting either alone or in concert with one another, which display effect modification in the presence of certain environmental factors, are modestly associated with CVD or its main risk factors. Following this hypothesis, studying populations with diversity in environmental factors may increase the discovery potential of gene-environmental interactions. In this brief review, the advantage of studying gene-environment interactions across heterogeneous groups with diverse lifestyles is discussed.     

Targeted quantitation of CVD-linked plasma proteins for biomarker verification and validation

Despite significant advances in treatment, cardiovascular disease (CVD) remains one of the leading causes of morbidity and mortality in developed and developing countries. Judicious monitoring of common risk factors has been unable to control this global epidemic, necessitating novel biomarkers for improved screening and earlier disease detection and management. Although numerous plasma proteins have been associated with CVD, only a few of these potential biomarkers have been validated for clinical use. Here we review the quantitative proteomic methods used to verify and validate new biomarker candidates in human plasma. These methods center on a bottom-up approach involving multiple or selected reaction monitoring, for targeted detection, with stable isotope-labeled standards, for peptide normalization. Also included are a discussion of future strategies for improved CVD protein biomarker verification and validation, recommendations for method translation to the clinic, and future projections for protein biomarker research.     

Improved Detection of Common Variants Associated with Schizophrenia by Leveraging Pleiotropy with Cardiovascular-Disease Risk Factors

Several lines of evidence suggest that genome-wide association studies (GWASs) have the potential to explain more of the “missing heritability” of common complex phenotypes. However, reliable methods for identifying a larger proportion of SNPs are currently lacking. Here, we present a genetic-pleiotropy-informed method for improving gene discovery with the use of GWAS summary-statistics data. We applied this methodology to identify additional loci associated with schizophrenia (SCZ), a highly heritable disorder with significant missing heritability. Epidemiological and clinical studies suggest comorbidity between SCZ and cardiovascular-disease (CVD) risk factors, including systolic blood pressure, triglycerides, low- and high-density lipoprotein, body mass index, waist-to-hip ratio, and type 2 diabetes. Using stratified quantile-quantile plots, we show enrichment of SNPs associated with SCZ as a function of the association with several CVD risk factors and a corresponding reduction in false discovery rate (FDR). We validate this “pleiotropic enrichment” by demonstrating increased replication rate across independent SCZ substudies. Applying the stratified FDR method, we identified 25 loci associated with SCZ at a conditional FDR level of 0.01. Of these, ten loci are associated with both SCZ and CVD risk factors, mainly triglycerides and low- and high-density lipoproteins but also waist-to-hip ratio, systolic blood pressure, and body mass index. Together, these findings suggest the feasibility of using genetic-pleiotropy-informed methods for improving gene discovery in SCZ and identifying potential mechanistic relationships with various CVD risk factors.     

Comparison of Body Mass Index (BMI), Body Adiposity Index (BAI), Waist Circumference (WC), Waist-To-Hip Ratio (WHR) and Waist-To-Height Ratio (WHtR) as Predictors of Cardiovascular Disease Risk Factors in an Adult Population in Singapore

Background

Excess adiposity is associated with cardiovascular disease (CVD) risk factors such as hypertension, diabetes mellitus and dyslipidemia. Amongst the various measures of adiposity, the best one to help predict these risk factors remains contentious. A novel index of adiposity, the Body Adiposity Index (BAI) was proposed in 2011, and has not been extensively studied in all populations. Therefore, the purpose of this study is to compare the relationship between Body Mass Index (BMI), Waist Circumference (WC), Waist-to-Hip Ratio (WHR), Waist-to-Height Ratio (WHtR), Body Adiposity Index (BAI) and CVD risk factors in the local adult population.

Methods and Findings

This is a cross sectional study involving 1,891 subjects (Chinese 59.1% Malay 22.2%, Indian 18.7%), aged 21–74 years, based on an employee health screening (2012) undertaken at a hospital in Singapore. Anthropometric indices and CVD risk factor variables were measured, and Spearman correlation, Receiver Operating Characteristic (ROC) curves and multiple logistic regressions were used. BAI consistently had the lower correlation, area under ROC and odd ratio values when compared with BMI, WC and WHtR, although differences were often small with overlapping 95% confidence intervals. After adjusting for BMI, BAI did not further increase the odds of CVD risk factors, unlike WC and WHtR (for all except hypertension and low high density lipoprotein cholesterol). When subjects with the various CVD risk factors were grouped according to established cut-offs, a BMI of ≥23.0 kg/m² and/or WHtR ≥0.5 identified the highest proportion for all the CVD risk factors in both genders, even higher than a combination of BMI and WC.

Conclusions

BAI may function as a measure of overall adiposity but it is unlikely to be better than BMI. A combination of BMI and WHtR could have the best clinical utility in identifying patients with CVD risk factors in an adult population in Singapore.     

Pharmacology of PPARalpha, PPARgamma and dual PPARalpha/gamma agonists in clinical development

Cardiovascular diseases (CVD) remain the leading cause of mortality in the western societies. Several risk factors predispose to CVD including diabetes, obesity, insulin resistance, dyslipidemia and hypertension. Various pharmacological therapies have been developed to control the risk factors associated to CVD. Fibrates are able to correct dyslipidemia, therefore decreasing CVD risk. Thiazolidinediones (TZD) or glitazones by increasing insulin sensitivity decrease plasma glucose levels in diabetic patients. Both fibrates and TZD activate the peroxisome proliferator-activated receptors (PPARs), a family of nuclear receptors that play a central role in the control of lipid and glucose metabolism. In this review, we will discuss the mode of action of fibrates and TZD and we will present an overview on PPAR ligands under development.     

Understanding cardiovascular disease: a journey through the genome (and what we found there)

Cardiovascular disease (CVD) is a major cause of mortality and hospitalization worldwide. Several risk factors have been identified that are strongly associated with the development of CVD. However, these explain only a fraction of cases, and the focus of research into the causes underlying the unexplained risk has shifted first to genetics and more recently to genomics. A genetic contribution to CVD has long been recognized; however, with the exception of certain conditions that show Mendelian inheritance, it has proved more challenging than anticipated to identify the precise genomic components responsible for the development of CVD. Genome-wide association studies (GWAS) have provided information about specific genetic variations associated with disease, but these are only now beginning to reveal the underlying molecular mechanisms. To fully understand the biological implications of these associations, we need to relate them to the exquisite, multilayered regulation of protein expression, which includes chromatin remodeling, regulatory elements, microRNAs and alternative splicing. Understanding how the information contained in the DNA relates to the operation of these regulatory layers will allow us not only to better predict the development of CVD but also to develop more effective therapies.

“We shall not cease from exploration
And the end of all our exploring
Will be to arrive where we started
And know the place for the first time.”
Little Gidding by T. S. Eliot (1942)

     

Cardiac dysfunction subsequent to chronic ozone exposure in rats

A number of advancements have been made toward identifying the risk factors associated with cardiovascular disease (CVD) and have resulted in a decline in mortality. However, many patients with cardiac disease show no established previous risk. Thus, it appears that other unknown factors contribute to the pathophysiology of CVD. Out of 350,000 sudden cardiac deaths each year in the United States, 60,000 deaths have been linked to air pollution, suggesting a detrimental role of environmental pollutants in the development of CVD. This study tested the hypothesis that chronic ozone (O(3)) exposure diminishes myocardial function in healthy population. Male Sprague-Dawley rats were exposed 8 h/day for 28 and 56 days to filtered air or 0.8 ppm O(3). In vivo cardiac function was assessed by measuring LVDP, +dP/dt, -dP/dt, and LVEDP 24 h after termination of the O(3) exposure. Compared to rats exposed to filtered air, LVDP, +dP/dt, and -dP/dt were significantly decreased, and LVEDP was significantly increased in O(3) exposed animals. This attenuation of cardiac function was associated with increased myocardial TNF-alpha levels and lipid peroxidation as well as decreased myocardial activities of superoxidase dismutase and interleukin-10 levels. These novel findings suggest myocardial dysfunction subsequent to chronic O(3) exposure in normal adult rats may be associated with a decrease in antioxidant reserve and with an increased production of inflammatory mediators.     

Longitudinal Genome-Wide Association of Cardiovascular Disease Risk Factors in the Bogalusa Heart Study

Cardiovascular disease (CVD) is the leading cause of death worldwide. Recent genome-wide association (GWA) studies have pinpointed many loci associated with CVD risk factors in adults. It is unclear, however, if these loci predict trait levels at all ages, if they are associated with how a trait develops over time, or if they could be used to screen individuals who are pre-symptomatic to provide the opportunity for preventive measures before disease onset. We completed a genome-wide association study on participants in the longitudinal Bogalusa Heart Study (BHS) and have characterized the association between genetic factors and the development of CVD risk factors from childhood to adulthood. We report 7 genome-wide significant associations involving CVD risk factors, two of which have been previously reported. Top regions were tested for replication in the Young Finns Study (YF) and two associations strongly replicated: rs247616 in CETP with HDL levels (combined P = 9.7×10⁻²⁴), and rs445925 at APOE with LDL levels (combined P = 8.7×10⁻¹⁹). We show that SNPs previously identified in adult cross-sectional studies tend to show age-independent effects in the BHS with effect sizes consistent with previous reports. Previously identified variants were associated with adult trait levels above and beyond those seen in childhood; however, variants with time-dependent effects were also promising predictors. This is the first GWA study to evaluate the role of common genetic variants in the development of CVD risk factors in children as they advance through adulthood and highlights the utility of using longitudinal studies to identify genetic predictors of adult traits in children.     

Low-Density Lipoprotein Electronegativity Is a Novel Cardiometabolic Risk Factor

Background

Low-density lipoprotein (LDL) plays a central role in cardiovascular disease (CVD) development. In LDL chromatographically resolved according to charge, the most electronegative subfraction–L5–is the only subfraction that induces atherogenic responses in cultured vascular cells. Furthermore, increasing evidence has shown that plasma L5 levels are elevated in individuals with high cardiovascular risk. We hypothesized that LDL electronegativity is a novel index for predicting CVD.

Methods

In 30 asymptomatic individuals with metabolic syndrome (MetS) and 27 healthy control subjects, we examined correlations between plasma L5 levels and the number of MetS criteria fulfilled, CVD risk factors, and CVD risk according to the Framingham risk score.

Results

L5 levels were significantly higher in MetS subjects than in control subjects (21.9±18.7 mg/dL vs. 11.2±10.7 mg/dL, P:0.01). The Jonckheere trend test revealed that the percent L5 of total LDL (L5%) and L5 concentration increased with the number of MetS criteria (P<0.001). L5% correlated with classic CVD risk factors, including waist circumference, body mass index, waist-to-height ratio, smoking status, blood pressure, and levels of fasting plasma glucose, triglyceride, and high-density lipoprotein. Stepwise regression analysis revealed that fasting plasma glucose level and body mass index contributed to 28% of L5% variance. The L5 concentration was associated with CVD risk and contributed to 11% of 30-year general CVD risk variance when controlling the variance of waist circumference.

Conclusion

Our findings show that LDL electronegativity was associated with multiple CVD risk factors and CVD risk, suggesting that the LDL electronegativity index may have the potential to be a novel index for predicting CVD. Large-scale clinical trials are warranted to test the reliability of this hypothesis and the clinical importance of the LDL electronegativity index.     

Gender differences in genetic risk profiles for cardiovascular disease

Background

Cardiovascular disease (CVD) incidence, complications and burden differ markedly between women and men. Although there is variation in the distribution of lifestyle factors between the genders, they do not fully explain the differences in CVD incidence and suggest the existence of gender-specific genetic risk factors. We aimed to estimate whether the genetic risk profiles of coronary heart disease (CHD), ischemic stroke and the composite end-point of CVD differ between the genders.

Methodology/Principal Findings

We studied in two Finnish population cohorts, using the case-cohort design the association between common variation in 46 candidate genes and CHD, ischemic stroke, CVD, and CVD-related quantitative risk factors. We analyzed men and women jointly and also conducted genotype-gender interaction analysis. Several allelic variants conferred disease risk for men and women jointly, including rs1801020 in coagulation factor XII (HR = 1.31 (1.08–1.60) for CVD, uncorrected p = 0.006 multiplicative model). Variant rs11673407 in the fucosyltransferase 3 gene was strongly associated with waist/hip ratio (uncorrected p = 0.00005) in joint analysis. In interaction analysis we found statistical evidence of variant-gender interaction conferring risk of CHD and CVD: rs3742264 in the carboxypeptidase B2 gene, p(interaction) = 0.009 for CHD, and rs2774279 in the upstream stimulatory factor 1 gene, p(interaction) = 0.007 for CHD and CVD, showed strong association in women but not in men, while rs2069840 in interleukin 6 gene, p(interaction) = 0.004 for CVD, showed strong association in men but not in women (uncorrected p-values). Also, two variants in the selenoprotein S gene conferred risk for ischemic stroke in women, p(interaction) = 0.003 and 0.007. Importantly, we identified a larger number of gender-specific effects for women than for men.

Conclusions/Significance

A false discovery rate analysis suggests that we may expect half of the reported findings for combined gender analysis to be true positives, while at least third of the reported genotype-gender interaction results are true positives. The asymmetry in positive findings between the genders could imply that genetic risk loci for CVD are more readily detectable in women, while for men they are more confounded by environmental/lifestyle risk factors. The possible differences in genetic risk profiles between the genders should be addressed in more detail in genetic studies of CVD, and more focus on female CVD risk is also warranted in genome-wide association studies.     

Cardiovascular risk management of hypertension and hypercholesterolaemia in the Netherlands: from unifactorial to multifactorial approach

About 30?years ago, the first Dutch unifactorial guidelines on hypertension and hypercholesterolaemia were developed. These guidelines have been revised several times, often after publication of landmark studies on new generations of drugs. In 1978, cut-off points for pharmacological treatment of hypertension were based on diastolic blood pressure values ≥115?mmHg, and in 2000 they were lowered to >100?mmHg. From 1997 onwards, cut-off points for systolic blood pressure values >180?mmHg were introduced, which became leading. In 1987, cut-offs for hypercholesterolaemia of ≥8?mmol/l were set and from 2006 pharmacological treatment was based on a total/HDL cholesterol ratio >8. Around 2000, treatment decisions for hypertension and/or hypercholesterolaemia were no longer based on high levels of individual risk factors, but on a multifactorial approach based on total risk of cardiovascular diseases (CVD), determined by a risk function. In the 2006 multidisciplinary guideline on cardiovascular risk management, the Framingham risk tables were replaced by European SCORE risk charts. A cut-off point of 10% CVD mortality was set in the Netherlands. In 2011, this cut-off point changed to 20% fatal plus nonfatal CVD risk. Nowadays, 'the lower the risk factors, the lower the absolute risk' is the leading paradigm in CVD prevention.     

The gut microbiota as a novel regulator of cardiovascular function and disease

The gut microbiome has emerged as a critical regulator of human physiology. Deleterious changes to the composition or number of gut bacteria, commonly referred to as gut dysbiosis, has been linked to the development and progression of numerous diet-related diseases, including cardiovascular disease (CVD). Most CVD risk factors, including aging, obesity, certain dietary patterns, and a sedentary lifestyle, have been shown to induce gut dysbiosis. Dysbiosis is associated with intestinal inflammation and reduced integrity of the gut barrier, which in turn increases circulating levels of bacterial structural components and microbial metabolites that may facilitate the development of CVD. The aim of the current review is to summarize the available data regarding the role of the gut microbiome in regulating CVD function and disease processes. Particular emphasis is placed on nutrition-related alterations in the microbiome, as well as the underlying cellular mechanisms by which the microbiome may alter CVD risk.