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Background The incidence and clinical manifestations of cardiovascular disease (CVD) differ between blacks and whites. Biomarkers that reflect important pathophysiological pathways may provide a window to allow deeper understanding of racial differences in CVD. Methods and Results The study included 2635 white and black participants from the Dallas Heart Study who were free from existing CVD. Cross-sectional associations between race and 32 biomarkers were evaluated using multivariable linear regression adjusting for age, traditional CVD risk factors, imaging measures of body composition, renal function, insulin resistance, left ventricular mass, and socioeconomic factors. In fully adjusted models, black women had higher lipoprotein(a), leptin, d-dimer, osteoprotegerin, antinuclear antibody, homoarginine, suppression of tumorigenicity-2, and urinary microalbumin, and lower adiponectin, soluble receptor for advanced glycation end products and N-terminal pro-B-type natriuretic peptide versus white women. Black men had higher lipoprotein(a), leptin, d-dimer, high-sensitivity C-reactive protein, antinuclear antibody, symmetrical dimethylarginine, homoarginine, high-sensitivity cardiac troponin T, suppression of tumorigenicity-2, and lower adiponectin, soluble receptor for advanced glycation end products, and N-terminal pro-B-type natriuretic peptide versus white men. Adjustment for biomarkers that were associated with higher CVD risk, and that differed between blacks and whites, attenuated the risk for CVD events in black women (unadjusted hazard ratio 2.05, 95% CI 1.32, 3.17 and adjusted hazard ratio 1.15, 95% CI 0.69, 1.92) and black men (unadjusted hazard ratio 2.39, 95% CI 1.64, 3.46, and adjusted hazard ratio 1.21, 95% CI 0.76, 1.95). Conclusions Significant racial differences were seen in biomarkers reflecting lipids, adipokines, and biomarkers of endothelial function, inflammation, myocyte injury, and neurohormonal stress, which may contribute to racial differences in the development and complications of CVD.

Aims: Metabolic syndrome (MetS) increases atherosclerotic cardiovascular disease (ASCVD) risk. Low HDL cholesterol (HDL-C) is a diagnostic criterion of MetS and a major ASCVD risk factor. HDL particle concentration (HDL-P) associates with incident ASCVD independent of HDL-C, but its association with incident MetS has not been studied. We hypothesized that HDL-P would be inversely associated with incident metabolic syndrome independent of HDL-C and markers of adiposity and insulin resistance., Materials and Methods: HDL-P was measured by NMR and visceral fat by MRI in participants of the Dallas Heart Study, a probability-based population sample of adults age 30-65. Participants with prevalent MetS, DM, CVD, and any systemic illlness were excluded. Incident MetS as defined by NCEP ATPIII criteria was determined in all participants after median follow-up period of 7.0 years., Results: Among 1120 participants without DM or MetS at baseline (57% women, 45% Black, mean age 43), 22.8% had incident MetS at follow-up. HDL-P and HDL-C were modestly correlated (r=0.54, p<0.0001). In models adjusted for traditional risk factors and MetS risk factors including visceral fat, HS-CRP, triglyceride to HDL-C ratio, and HOMA-IR, the lowest quartile of HDL-P was associated with a 2-fold increased risk of incident MetS (OR 2.1, 95%CI 1.4-3.1; p=0.0003)., Conclusions: Low HDL-P is independently associated with incident MetS after adjustment for traditional risk factors, lipid parameters, adiposity, inflammation, and markers of insulin resistance. Further studies are warranted to validate these findings and elucidate the mechanisms underpinning this association., (Copyright © 2016. Published by Elsevier Ltd.)

Background: Few data are available comparing cardiovascular disease (CVD) biomarker profiles between women and men in the general population. We analyzed sex-based differences in multiple biomarkers reflecting distinct pathophysiological pathways, accounting for differences between women and men in CVD risk factors, body composition, and cardiac morphology., Methods: A cross-sectional analysis was performed using data from the Dallas Heart Study, a multiethnic population-based study. Associations between sex and 30 distinct biomarkers representative of 6 pathophysiological categories were evaluated using multivariable linear regression adjusting for age, race, traditional CVD risk factors, kidney function, insulin resistance, MRI and dual-energy x-ray absorptiometry measures of body composition and fat distribution, and left ventricular mass., Results: After excluding participants with CVD, the study population included 3439 individuals, mean age 43 years, 56% women, and 52% black. Significant sex-based differences were seen in multiple categories of biomarkers, including lipids, adipokines, and biomarkers of inflammation, endothelial dysfunction, myocyte injury and stress, and kidney function. In fully adjusted models, women had higher levels of high-density lipoprotein cholesterol and high-density lipoprotein particle concentration, leptin, d-dimer, homoarginine, and N-terminal pro B-type natriuretic peptide, and lower levels of low-density lipoprotein cholesterol, adiponectin, lipoprotein-associated phospholipase A2 mass and activity, monocyte chemoattractant protein-1, soluble endothelial cell adhesion molecule, symmetrical dimethylarginine, asymmetrical dimethylarginine, high-sensitivity troponin T, and cystatin C., Conclusions: Biomarker profiles differ significantly between women and men in the general population. Sex differences were most apparent for biomarkers of adiposity, endothelial dysfunction, inflammatory cell recruitment, and cardiac stress and injury. Future studies are needed to characterize whether pathophysiological processes delineated by these biomarkers contribute to sex-based differences in the development and complications of CVD., (© 2017 American Heart Association, Inc.)

Importance: Understanding the relationships between age-related changes in brain structure and cognitive function has been limited by inconsistent methods for assessing brain imaging, small sample sizes, and racially/ethnically homogeneous cohorts with biased selection based on risk factors. These limitations have prevented the generalizability of results from brain morphology studies., Objective: To determine the association of 3.0-T structural brain magnetic resonance (MR) imaging measurements with cognitive function in the multiracial/multiethnic, population-based Dallas Heart Study., Design, Setting, and Participants: Whole-brain, 2-dimensional, fluid-attenuated inversion recovery and 3-dimensional, magnetization-prepared, rapid acquisition with gradient echo MR imaging at 3.0 T was performed in 1645 Dallas Heart Study participants (mean [SD] age, 49.9 [10.5] years; age range, 19-85 years) who received both brain MR imaging and cognitive screening with the Montreal Cognitive Assessment between September 18, 2007, and December 28, 2009. Measurements were obtained for white matter hyperintensity volume, total brain volume, gray matter volume, white matter volume, cerebrospinal fluid volume, and hippocampal volume. Linear regression and a best predictive model were developed to determine the association of MR imaging biomarkers with the Montreal Cognitive Assessment total score and domain-specific questions., Main Outcomes and Measures: High-resolution anatomical MR imaging was used to quantify brain volumes. Scores on the screening Montreal Cognitive Assessment were used for cognitive assessment in participants., Results: After adjustment for demographic variables, total brain volume (P < .0001, standardized estimate [SE] = .1069), gray matter volume (P < .0001, SE = .1156), white matter volume (P = .008, SE = .0687), cerebrospinal fluid volume (P = .012, SE = -.0667), and hippocampal volume (P < .0001) were significantly associated with cognitive performance. A best predictive model identified gray matter volume (P < .001, SE = .0021), cerebrospinal fluid volume (P = .01, SE = .0024), and hippocampal volume (P = .004, SE = .1017) as 3 brain MR imaging biomarkers significantly associated with the Montreal Cognitive Assessment total score. Questions specific to the visuospatial domain were associated with the most brain MR imaging biomarkers (total brain volume, gray matter volume, white matter volume, cerebrospinal fluid volume, and hippocampal volume), while questions specific to the orientation domain were associated with the least brain MR imaging biomarkers (only hippocampal volume)., Conclusions and Relevance: Brain MR imaging volumes, including total brain volume, gray matter volume, cerebrospinal fluid volume, and hippocampal volume, were independently associated with cognitive function and may be important early biomarkers of risk for cognitive insult in a young multiracial/multiethnic population. A best predictive model indicated that a combination of multiple neuroimaging biomarkers may be more effective than a single brain MR imaging volume measurement.

Background: Although rosiglitazone favorably affects myriad intermediate markers of atherosclerosis, it appears to increase myocardial infarction (MI) risk. We analyzed the effects of rosiglitazone on a panel of 8 novel circulating biomarkers, 4 of which are independently associated with atherosclerosis: lymphotoxin β receptor, peptidoglycan recognition protein 1, chemokine ligand 23, and soluble receptor for advanced glycation end products (sRAGE) as well as on high-sensitivity C-reactive protein (hs-CRP)., Methods: Blood samples were analyzed at baseline and after 6 months of study treatment from subjects with type 2 diabetes with or at high risk for coronary artery disease in a randomized trial comparing rosiglitazone versus placebo., Results: Data from 111 subjects (rosiglitazone 55, placebo 56) were analyzed. Mean age was 56 years, 41% were women, and 66% were nonwhite. Compared with baseline values, rosiglitazone adversely affected levels of lymphotoxin β receptor (1.7 vs 2.4 ng/mL, P = .002), peptidoglycan recognition protein 1 (29.0 vs 30.1 ng/mL, P = .01), and chemokine ligand 23 (0.76 vs 0.84 ng/mL, P = .02) and favorably affected levels of sRAGE (inversely associated with atherosclerosis, 1.1 vs 1.4 ng/mL, P = .003) and hs-CRP (0.42 vs 0.31 ng/mL, P = .02); no changes were observed with rosiglitazone in the other biomarkers. In the placebo group, change was observed only for sRAGE (1.0 vs 1.1 ng/mL, P = .046)., Conclusion: Rosiglitazone adversely affected 3 novel biomarkers and favorably affected a fourth previously associated with atherosclerosis while improving hs-CRP, as has previously been shown. Whether these complex effects on circulating inflammatory biomarkers contribute to the signal of increased MI risk with rosiglitazone and whether pioglitazone has similar effects warrant further investigation., (Copyright © 2013 Mosby, Inc. All rights reserved.)

Objectives: The goal of this study was to determine if biomarkers of subclinical myocardial injury and hemodynamic stress identify asymptomatic individuals with left ventricular hypertrophy (LVH) at higher risk for heart failure (HF) and death., Background: The interaction between LVH, low but detectable cardiac troponin T (cTnT), and elevated N-terminal pro-B-type natriuretic peptide (NT-proBNP) on cardiovascular (CV) outcomes in the general population is unknown., Methods: Participants in the Dallas Heart Study without clinical HF, LV dysfunction, or chronic kidney disease underwent measurement of LV mass by magnetic resonance imaging (MRI), cTnT by highly sensitive assay, and NT-proBNP analysis (n = 2,413). Subjects were stratified according to LVH and by detectable cTnT (≥3 pg/ml) and increased NT-proBNP (>75th age- and sex-specific percentile) levels. For each analysis, participants were categorized into groups based on the presence (+) or absence (-) of LVH and biomarker levels above (+) or below (-) the predefined threshold., Results: Nine percent of participants were LVH+, 25% cTnT+, and 24% NT-proBNP+. Those LVH+ and cTnT+ and/or NT-proBNP+ (n = 144) were older and more likely to be male, with a greater risk factor burden and more severe LVH compared with those who were LVH+ biomarker- (p < 0.01 for each). The cumulative incidence of HF or CV death over 8 years among LVH+ cTnT+ was 21% versus 1% (LVH- cTnT-), 4% (LVH- cTnT+), and 6% (LVH+ cTnT-) (p < 0.0001). The interactions between LVH and cTnT (p(interaction) = 0.0005) and LVH and NT-proBNP (p(interaction) = 0.014) were highly significant. Individuals who were LVH+ and either cTnT+ or NT-proBNP+ remained at >4-fold higher risk for HF or CV death after multivariable adjustment for CV risk factors, renal function, and LV mass compared with those who were LVH- biomarker-., Conclusions: Minimal elevations in biomarkers of subclinical cardiac injury and hemodynamic stress modify the association of LVH with adverse outcomes, identifying a malignant subphenotype of LVH with high risk for progression to HF and CV death., (Copyright © 2013 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)

Specific chemokines contribute to vascular inflammation and may be useful biomarkers to detect atherosclerosis. The chemokines CXCL1 and CCL11 have previously been studied in animal or human models of atherosclerosis, while CXCL2 and CCL23 have not. Among 2,454 subjects enrolled in the Dallas Heart Study, a multi-ethnic population-based sample, we measured plasma CCL11, CCL23, CXCL1, and CXCL2, and associated levels with coronary artery calcium (CAC) by computed tomography, and aortic wall thickness, plaque burden, and compliance by magnetic resonance imaging. Elevated chemokine levels were defined as greater than or equal to the median for CCL11 and CCL23 and greater than or equal to the upper detection limit for CXCL1 and CXCL2. Elevated CCL23 (P < 0.01) and CXCL1 (P = 0.01), but not CCL11 and CXCL2, associated with CAC in univariable analyses. After adjustment for traditional risk factors, elevated CCL23 remained associated with CAC (OR 1.3, 95% CI 1.0-1.7; P = 0.02), while the association with CXCL1 was modestly attenuated (OR 1.4, 95% CI 1.0-2.1; P = 0.06). CCL23 also associated with aortic wall thickness, plaque, and compliance in univariable analyses (P < 0.05 for each), but these associations were attenuated after multivariable adjustment. The novel chemotactic protein, CCL23, which has not been previously studied in atherosclerosis, is independently associated with coronary atherosclerosis, suggesting that this chemokine merits further study in animal and human models.

Background Current strategies for cardiovascular disease (CVD) risk assessment focus on 10-year or longer timeframes. Shorter-term CVD risk is also clinically relevant, particularly for high-risk occupations, but is under-investigated. Methods and Results We pooled data from participants in the ARIC (Atherosclerosis Risk in Communities study), MESA (Multi-Ethnic Study of Atherosclerosis), and DHS (Dallas Heart Study), free from CVD at baseline (N=16 581). Measurements included N-terminal pro-B-type natriuretic peptide (>100 pg/mL prospectively defined as abnormal); high-sensitivity cardiac troponin T (abnormal >5 ng/L); high-sensitivity C-reactive protein (abnormal >3 mg/L); left ventricular hypertrophy by ECG (abnormal if present); carotid intima-media thickness, and plaque (abnormal >75th percentile for age and sex or presence of plaque); and coronary artery calcium (abnormal >10 Agatston U). Each abnormal test result except left ventricular hypertrophy by ECG was independently associated with increased 3-year risk of global CVD (myocardial infarction, stroke, coronary revascularization, incident heart failure, or atrial fibrillation), even after adjustment for traditional CVD risk factors and the other test results. When a simple integer score counting the number of abnormal tests was used, 3-year multivariable-adjusted global CVD risk was increased among participants with integer scores of 1, 2, 3, and 4, by ≈2-, 3-, 4.5- and 8-fold, respectively, when compared with those with a score of 0. Qualitatively similar results were obtained for atherosclerotic CVD (fatal or non-fatal myocardial infarction or stroke). Conclusions A strategy incorporating multiple biomarkers and atherosclerosis imaging improved assessment of 3-year global and atherosclerotic CVD risk compared with a standard approach using traditional risk factors.

BackgroundCurrent strategies for cardiovascular disease (CVD) risk assessment among adults without known CVD are limited by suboptimal performance and a narrow focus on only atherosclerotic CVD (ASCVD). We hypothesized that a strategy combining promising biomarkers across multiple different testing modalities would improve global and atherosclerotic CVD risk assessment among individuals without known CVD.MethodsWe included participants from MESA (Multi-Ethnic Study of Atherosclerosis) (n=6621) and the Dallas Heart Study (n=2202) who were free from CVD and underwent measurement of left ventricular hypertrophy by ECG, coronary artery calcium, N-terminal pro B-type natriuretic peptide, high-sensitivity cardiac troponin T, and high-sensitivity C-reactive protein. Associations of test results with the global composite CVD outcome (CVD death, myocardial infarction, stroke, coronary or peripheral revascularization, incident heart failure, or atrial fibrillation) and ASCVD (fatal or nonfatal myocardial infarction or stroke) were assessed over >10 years of follow-up. Multivariable analyses for the primary global CVD end point adjusted for traditional risk factors plus statin use and creatinine (base model).ResultsEach test result was independently associated with global composite CVD events in MESA after adjustment for the components of the base model and the other test results (P

• Increasing alcohol consumption leads to increased HDL markers. • Moderate drinkers have higher HDL values compared to light drinkers. • Race and sex can modify the relationship between HDL and cholesterol efflux. • Unable to evaluate impact of HDL markers due to low number of cardiovascular events. Small studies have suggested that moderate alcohol consumption increases HDL cholesterol (HDL-C) levels and cholesterol efflux capacity (CEC), a main anti-atherosclerotic HDL function. This study aimed to understand the degree to which alcohol intake is associated with various HDL markers in a large, multiethnic population cohort, the Dallas Heart Study (DHS), and whether alcohol modifies the link between HDL markers and atherosclerotic cardiovascular disease (ASCVD). Participants of the DHS were included if they had self-reported alcohol intake and CEC measurements (N=2,919). Alcohol intake was analyzed continuously (grams/week) and as an ordered categorical variable (never, past, light, moderate, heavy, and binge drinkers). HDL-C, CEC, HDL particle number (HDL-P), HDL particle size (HDL-size), and ApoA-I were the primary HDL measures. After adjustment for confounding variables, increasing continuous measure of alcohol intake was associated with increased levels of all HDL markers. Moreover, as compared to moderate drinkers, light drinkers had decreased levels of the HDL markers. In a large, multiethnic cohort, increased alcohol intake was associated with increased levels of multiple markers of HDL metabolism. However, the association of HDL markers with ASCVD risk as modified by alcohol consumption is unable to be determined in this low-risk cohort. [ABSTRACT FROM AUTHOR]

Introduction: N-terminal pro B-type natriuretic peptide (NT-proBNP) and high-sensitivity cardiac troponin T (hs-cTnT) associate with structural heart disease and heart failure risk in individuals without known CVD. However, few data are available regarding whether factors influencing levels of these two biomarkers are similar or distinct. We performed serial measurements of NT-proBNP and hs-cTnT in a contemporary multi-ethnic cohort with extensive phenotyping, with the goal of identifying their respective biological determinants in a population without known or suspected CVD. Methods: We evaluated 3254 participants of Dallas Heart Study who had NT-proBNP and hs-cTnT measured and were free from clinical CVD in each of its two phases (2000-2002 and 2007-2009). Variables collected included demographic and risk factors, body composition via DEXA and MRI, coronary artery calcium (CAC) by CT, and cardiac dimensions and function by cMRI. Linear regression was used to identify associations of these factors with each biomarker at baseline and with changes in biomarkers over follow-up. Results: NT-proBNP and hs-cTnT were poorly correlated at baseline (Spearman rho 0.043), with only moderate correlation between change values (rho 0.179). hs-cTnT positively associated and NT-proBNP inversely associated with male gender and black race (Table). NT-proBNP was more strongly associated with measures of body composition than hs-cTnT. At baseline, both NT-proBNP and hs-cTnT associated with LVEDV and wall thickness, but only NT-proBNP associated with LA size. Changes in cardiac dimensions between phases were associated with changes in NT-proBNP but not hs-cTnT (Table). Conclusions: Among individuals without CVD in the general population, NT-proBNP and hs-cTnT are non-redundant biomarkers that are differentially associated with demographic and cardiac factors. These findings indicate that hs-cTnT and NT-proBNP may reflect different pathophysiological pathways. [ABSTRACT FROM AUTHOR]

The authors reflect on the application of big data to biomarker discovery, focusing on its importance in cardiovascular medicine. They discuss a study by Gerstein and colleagues, which represents the Outcome Reduction With an Initial Glargine Intervention (ORIGIN) Trial using Luminex multiplex immunoassay platform to screen biomarkers for their potential to predict cardiovascular disease (CVD) events. They highlight the need for standard to define optimal strategies for biomarker discovery.

Soluble Fms-like tyrosine kinase-1 (sFlt-1) plays a role in angiogenesis, atherogenesis, and preeclampsia. The relationship of sFlt-1 with markers of subclinical atherosclerosis and future atherosclerotic cardiovascular disease (ASCVD) events in a generally healthy population is unknown. Participants in the Dallas Heart Study with sFlt-1 measured were included (n = 3292). Abdominal aortic atherosclerosis was measured by MRI and coronary artery calcium (CAC) by CT. The cohort was also followed for subsequent ASCVD events (CV death, MI, stroke, unstable angina, revascularization). Multivariable linear and logistic regression analyses and Cox regression analyses were performed adjusting for demographics and traditional cardiac risk factors. sFlt-1 levels were higher in older individuals, males, and African Americans, and tracked with most traditional risk factors. sFlt-1 was significantly associated with higher prevalence of aortic plaque [OR 1.33 (95% CI 1.02–1.73)], greater abdominal aortic wall thickness (p< 0.01) and aortic plaque area (p< 0.02) but no difference in coronary artery calcification. There were 322 ASCVD events over 12 years of follow-up. Higher sFlt-1 levels associated with increased ASCVD events in unadjusted (16.1% vs. 8.9%, p< 0.001, quartile 4 vs. quartile 1) and adjusted analyses (HR 1.58 [1.14–2.18], p< 0.01, quartile 4 vs. quartile 1). Findings were unchanged when analyzing sFlt-1 as a continuous variable or when excluding those with a history of ASCVD. In a population-based cohort, sFlt-1 is associated with measures of subclinical aortic atherosclerosis and clinical ASCVD events. Future studies are warranted on the therapeutic potential of targeting sFlt-1 for atherosclerotic disease. [Display omitted] • sFlt-1 is associated with markers of inflammation, endothelial function, and myocardial stress or injury. • In a multiethnic, probability-based population, sFlt-1 is associated with subclinical aortic atherosclerosis. • Elevated levels of sFlt-1 are associated with increased incidence of atherosclerotic cardiovascular disease events in a generally healthy population. [ABSTRACT FROM AUTHOR]

Abstract: Objective: Myeloperoxidase (MPO) is a leukocyte-derived enzyme that appears to be directly involved in atherosclerosis development. We evaluated the association of circulating MPO with coronary and aortic atherosclerosis in a large, multiethnic population. Methods and results: Plasma levels of MPO were measured in 3294 subjects participating in the Dallas Heart Study, a probability-based population sample. Coronary artery calcification (CAC) was measured by EBCT, and abdominal aorta plaque prevalence (AP) and burden (APB), as well as abdominal aorta wall thickness (AWT) were determined by MRI. Associations between MPO and atherosclerosis phenotypes were assessed in multivariable analyses adjusting for traditional atherosclerosis risk factors. MPO levels in the 4th compared with 1st quartile independently associated with prevalent AP (OR 1.41, 95% CI 1.08–1.84), APB (beta coefficient 0.23, p =0.02), and AWT (beta coefficient 0.04, p =0.03), but not with prevalent CAC (OR 0.84, 95% CI 0.61–1.17). MPO remained associated with aortic atherosclerosis phenotypes but not coronary calcification after adjustment for other inflammatory biomarkers. A significant interaction was observed between race/ethnicity, MPO and AP (p interaction =0.038), such that MPO levels in the 4th vs 1st quartile associated with prevalent AP in African Americans, (OR 1.81, 95% CI 1.23–2.65) but not in White or Hispanic participants (OR 0.99, 95% CI 0.68–1.44). Conclusion: Higher levels of MPO associated with aortic but not coronary atherosclerosis, with significant associations limited to African American participants. These findings suggest that MPO might be a novel risk factor contributing to racial disparities in peripheral vascular disease. [Copyright &y& Elsevier]

Background: High-density lipoprotein (HDL) cholesterol concentration (HDL-C) is an established atheroprotective marker, in particular for coronary artery disease; however, HDL particle concentration (HDL-P) may better predict risk. The associations of HDL-C and HDL-P with ischemic stroke and myocardial infarction (MI) among women and Blacks have not been well studied. We hypothesized that HDL-P would consistently be associated with MI and stroke among women and Blacks compared with HDL-C.Methods: We analyzed individual-level participant data in a pooled cohort of 4 large population studies without baseline atherosclerotic cardiovascular disease: DHS (Dallas Heart Study; n=2535), ARIC (Atherosclerosis Risk in Communities; n=1595), MESA (Multi-Ethnic Study of Atherosclerosis; n=6632), and PREVEND (Prevention of Renal and Vascular Endstage Disease; n=5022). HDL markers were analyzed in adjusted Cox proportional hazard models for MI and ischemic stroke.Results: In the overall population (n=15 784), HDL-P was inversely associated with the combined outcome of MI and ischemic stroke, adjusted for cardiometabolic risk factors (hazard ratio [HR] for quartile 4 [Q4] versus quartile 1 [Q1], 0.64 [95% CI, 0.52-0.78]), as was HDL-C (HR for Q4 versus Q1, 0.76 [95% CI, 0.61-0.94]). Adjustment for HDL-C did not attenuate the inverse relationship between HDL-P and atherosclerotic cardiovascular disease, whereas adjustment for HDL-P attenuated all associations between HDL-C and events. HDL-P was inversely associated with the individual end points of MI and ischemic stroke in the overall population, including in women. HDL-P was inversely associated with MI among White participants but not among Black participants (HR for Q4 versus Q1 for Whites, 0.49 [95% CI, 0.35-0.69]; for Blacks, 1.22 [95% CI, 0.76-1.98]; Pinteraction=0.001). Similarly, HDL-C was inversely associated with MI among White participants (HR for Q4 versus Q1, 0.53 [95% CI, 0.36-0.78]) but had a weak direct association with MI among Black participants (HR for Q4 versus Q1, 1.75 [95% CI, 1.08-2.83]; Pinteraction<0.0001).Conclusions: Compared with HDL-C, HDL-P was consistently associated with MI and ischemic stroke in the overall population. Differential associations of both HDL-C and HDL-P for MI by Black ethnicity suggest that atherosclerotic cardiovascular disease risk may differ by vascular domain and ethnicity. Future studies should examine individual outcomes separately. [ABSTRACT FROM AUTHOR]

Abstract: Objective: Lymphotoxin β receptor (LTβR), a member of the tumor necrosis factor superfamily, binds ligands expressed by activated lymphocytes. Interruption of LTβR signaling improves autoimmune diseases and alters lipid homeostasis. We assayed circulating LTβR and examined its association with atherosclerosis phenotypes in a population-based sample. Methods and results: Plasma LTβR was measured by ELISA in 3215 subjects enrolled in the Dallas Heart Study. Atherosclerosis was assessed using CT measurements of coronary calcium (CAC) and abdominal MRI measurements of aortic plaque (AP) (n =2252) and aortic wall thickness (AWT) (n =2265). We analyzed associations between LTβR and atherosclerosis using multivariable logistic and linear regression methods. Higher levels of LTβR associated with most traditional cardiovascular risk factors, multiple inflammatory markers, and markers of cardiac injury. Univariable analyses demonstrated significant associations of LTβR with CAC, AP, and AWT (p <0.0001 for each). In multivariable models adjusted for traditional risk factors, the 4th vs. the 1st quartile of LTβR remained associated with prevalent CAC, AP, and increased AWT (all p <0.05). Similar associations were observed when LTβR was modeled as a log-transformed continuous variable. Conclusion: LTβR levels are independently associated with atherosclerosis in multiple vascular beds. These findings support further investigation of the lymphotoxin/LTβR pathway in atherosclerosis. [ABSTRACT FROM AUTHOR]