HDL Cholesterol Quantitation by Phosphotungstate-Mg2+ and by Dextran Sulfate-Mn2+-Polyethylene Glycol Precipitation, Both with Enzymic Cholesterol Assay Compared with the Lipid Research Method

Warnick, G. Russell; Mayfield, C. I.; Benderson, J; Chen, J S; Albers, John J.

doi:10.1093/ajcp/78.5.718

Cited by 78 publications

(5 citation statements)

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“…Total plasma cholesterol concentrations were determined enzymatically [28] using a Cobas-Bio analyser with reagents purchased from Boehringer Mannheim Biochemicals, (Indianapolis, Indiana, USA). Plasma low-density lipoprotein (LDL) cholesterol, concentration was calculated using the Friedewald equation [29], and HDL concentrations were measured using the method of Warnick et al [30] Diabetes was defined as fasting glucose at least 126 mg/dl, nonfasting glucose ≥200 mg/dl, antidiabetic medication use or self-reported diagnosis of diabetes by a physician.…”

Section: Methodsmentioning

confidence: 99%

The aortic-femoral arterial stiffness gradient: an atherosclerosis risk in communities (ARIC) study

Stone

Fryer

Meyer³

et al. 2021

Journal of Hypertension

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The aortic to femoral arterial stiffness gradient (af-SG) may be a novel measure of arterial health and cardiovascular disease (CVD) risk, but its association with CVD risk factors and CVD status, and whether or not they differ from the referent measure, carotid-femoral pulse-wave velocity (cfPWV), is not known. Accordingly, we compared the associations of the af-SG and cfPWV with,(1) age and traditional CVD risk factors, and (2) CVD status. We evaluated 4,183 older-aged (75.2±5.0 years) men and women in the community-based Atherosclerosis Risk in Communities (ARIC) Study. cfPWV and femoral-ankle PWV (faPWV) were measured using an automated cardiovascular screening device. The af-SG was calculated as faPWV divided by cfPWV.Associations of af-SG and cfPWV with age, CVD risk factors (age, body mass index, blood pressure, heart rate, glucose and blood lipid levels) and CVD status (hypertension, diabetes, coronary heart disease, heart failure, stroke) were determined using linear and logistic regression analyses. (1) The af-SG and cfPWV demonstrated comparable associations with age and CVD risk factors, except body mass index. (2) A low af-SG was associated with diabetes, coronary heart disease, heart failure and stroke, whilst a high cfPWV was only associated with hypertension. Although future studies are necessary to confirm clinical utility, the af-SG is a promising tool that may provide a unique picture of hemodynamic integration and identification of CVD risk when compared to cfPWV.

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Section: Methodsmentioning

confidence: 99%

The aortic-femoral arterial stiffness gradient: an atherosclerosis risk in communities (ARIC) study

Stone

Fryer

Meyer³

et al. 2021

Journal of Hypertension

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“…Total plasma cholesterol concentrations were determined enzymatically [23] using a Cobas-Bio analyzer with reagents purchased from Boehringer Mannheim Biochemicals, (Indianapolis, IN). Plasma LDL cholesterol, concentration was calculated using the Friedewald equation [24] , and HDL concentrations were measured using the method of Warnick et al [25] .…”

Section: Predictor Variables: Traditional Cvd Risk Factorsmentioning

confidence: 99%

Associations between estimated and measured carotid-femoral pulse wave velocity in older Black and White adults: the atherosclerosis risk in communities (ARIC) study

Heffernan¹,

Stoner²,

Meyer³

et al. 2022

JCA

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Introduction: Aortic stiffness offers important insight into vascular aging and cardiovascular disease (CVD) risk. The referent measure of aortic stiffness is carotid-femoral pulse wave velocity (cfPWV). cfPWV can be estimated (ePWV) from age and mean arterial pressure. Few studies have directly compared the association of ePWV to measured cfPWV, particularly in non-White adults. Moreover, whether ePWV and cfPWV correlate similarly with CVD risk remains unexplored. Aim: (1) To estimate the strength of the agreement between ePWV and cfPWV in both Black and White older adults; and (2) to compare the associations of ePWV and cfPWV with CVD risk factors and determine whether these associations were consistent across races. Methods and Results: We evaluated 4478 [75.2 (SD 5.0) years] Black and White older adults in the Atherosclerosis Risk in Communities (ARIC) Study. cfPWV was measured using an automated pulse waveform analyzer. ePWV was derived from an equation based on age and mean arterial pressure. Association and agreement between the two measurements were determined using Pearson’s correlation coefficient (r), standard error of estimate (SEE), and Bland-Altman analysis. Associations between traditional risk factors with ePWV and cfPWV were evaluated using linear mixed regression models. We observed weak correlations between ePWV and cfPWV within White adults (r = 0.36) and Black adults (r = 0.31). The mean bias for Bland-Altman analysis was low at -0.17 m/s (95%CI: -0.25 to -0.09). However, the inspection of the Bland-Altman plots indicated systematic bias (P < 0.001), which was consistent across race strata. The SEE, or typical absolute error, was 2.8 m/s suggesting high variability across measures. In models adjusted for sex, prevalent diabetes, the number of prevalent cardiovascular diseases, and medication count, both cfPWV and ePWV were positively associated with heart rate, triglycerides, and fasting glucose, and negatively associated with body mass index (BMI) and smoking status in White adults (P < 0.05). cfPWV and ePWV were not associated with heart rate, triglycerides, and fasting glucose in Black adults, while both measures were negatively associated with BMI in Black adults. Conclusions: Findings suggest a weak association between ePWV and cfPWV in older White and Black adults from ARIC. There were similar weak associations between CVD risk factors with ePWV and cfPWV in White adults with subtle differences in associations in Black adults. One sentence summary: Estimated pulse wave velocity is weakly associated with measured carotid-femoral pulse wave velocity in older Black and White adults in ARIC.

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“…3 The ARIC study participants were 45 to 64 years of age from 4 US communities (Forsyth County, North Carolina; Jackson, Mississippi; suburbs of Minneapolis, Minnesota; and Washington County, Maryland) and underwent collection of standard demographic, clinical, and biochemical measures. Clinical measures included vital signs and anthropometric indices, 3 lipid profiles, [4][5][6] and glomerular filtration rate 7 (eAppendix in the Supplement). Our analytic cohort consisted of 2152 participants with metabolites measured in 2014 from serum stored at a study visit during the period from 1987 to 1989, as well as CHD and mortality follow-up information and necessary covariates.…”

Section: Aric Studymentioning

confidence: 99%

Molecular Signature of Multisystem Cardiometabolic Stress and Its Association With Prognosis

Murthy

Wang

et al. 2020

JAMA Cardiol

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IMPORTANCE Cardiometabolic disease is responsible for decreased longevity and poorer cardiovascular outcomes in the modern era. Metabolite profiling provides a specific measure of global metabolic function to examine specific metabolic mechanisms and pathways of cardiometabolic disease beyond its clinical definitions.OBJECTIVES To define a molecular basis for cardiometabolic stress and assess its association with cardiovascular prognosis. DESIGN, SETTING, AND PARTICIPANTSA prospective observational cohort study was conducted in a population-based setting across 2 geographically distinct centers (Boston Puerto Rican Health Study [BPRHS], an ongoing study of individuals enrolled between June 1, 2004, and October 31, 2009; and Atherosclerosis Risk in Communities [ARIC] study, whose participants were originally sampled between November 24, 1986, and February 10, 1990, and followed up through December 31, 2017). Participants in the BPRHS were 668 Puerto Rican individuals with metabolite profiling living in Massachusetts, and participants in the ARIC study were 2152 individuals with metabolite profiling and long-term follow-up for mortality and cardiovascular outcomes. Statistical analysis was performed from October 1, 2018, to March 13, 2020. EXPOSURE The primary exposure was metabolite profiles across both cohorts. MAIN OUTCOMES AND MEASURESOutcomes included associations with multisystem cardiometabolic stress and all-cause mortality and incident coronary heart disease (in the ARIC study). RESULTS Participants in the BPRHS (N = 668; 491 women; mean [SD] age, 57.0 [7.4] years; mean [SD] body mass index [calculated as weight in kilograms divided by height in meters squared], 32.0 [6.5]) had higher prevalent cardiometabolic risk relative to those in the ARIC study (N = 2152; 599 African American individuals; 1213 women; mean [SD] age, 54.3 [5.7] years; mean [SD] body mass index, 28.0 [5.5]). Multisystem cardiometabolic stress was defined for 668 Puerto Rican individuals in the BPRHS as a multidimensional composite of hypothalamic-adrenal axis activity, sympathetic activation, blood pressure, proatherogenic dyslipidemia, insulin resistance, visceral adiposity, and inflammation. A total of 260 metabolites associated with cardiometabolic stress were identified in the BPRHS, involving known and novel pathways of cardiometabolic disease (eg, amino acid metabolism, oxidative stress, and inflammation). A parsimonious metabolite-based score associated with cardiometabolic stress in the BPRHS was subsequently created; this score was applied to shared metabolites in the ARIC study, demonstrating significant associations with coronary heart disease and all-cause mortality after multivariable adjustment at a 30-year horizon (per SD increase in metabolomic score: hazard ratio, 1.14; 95% CI, 1.00-1.31; P = .045 for coronary heart disease; and hazard ratio, 1.15; 95% CI, 1.07-1.24; P < .001 for all-cause mortality). CONCLUSIONS AND RELEVANCEMetabolites associated with cardiometabolic stress identified known and novel pathways of car...

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HDL Cholesterol Quantitation by Phosphotungstate-Mg2+ and by Dextran Sulfate-Mn2+-Polyethylene Glycol Precipitation, Both with Enzymic Cholesterol Assay Compared with the Lipid Research Method

Cited by 78 publications

References 0 publications

The aortic-femoral arterial stiffness gradient: an atherosclerosis risk in communities (ARIC) study

The aortic-femoral arterial stiffness gradient: an atherosclerosis risk in communities (ARIC) study

Associations between estimated and measured carotid-femoral pulse wave velocity in older Black and White adults: the atherosclerosis risk in communities (ARIC) study

Molecular Signature of Multisystem Cardiometabolic Stress and Its Association With Prognosis

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