Author + information
- Received January 8, 2013
- Revision received February 21, 2013
- Accepted March 12, 2013
- Published online August 20, 2013.
- Ian J. Neeland, MD∗∗ (, )
- Benjamin R. Winders, MD∗,
- Colby R. Ayers, MS∗,†,
- Sandeep R. Das, MD∗,
- Alice Y. Chang, MD, MSc‡,
- Jarett D. Berry, MD, MS∗,
- Amit Khera, MD, MS∗,
- Darren K. McGuire, MD, MHSc∗,†,
- Gloria L. Vega, PhD§,
- James A. de Lemos, MD∗ and
- Aslan T. Turer, MD, MHS∗
- ∗Department of Internal Medicine, Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, Texas
- †Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas
- ‡Department of Internal Medicine, Division of Endocrinology, Metabolism and Diabetes, Mayo Clinic, Rochester, Minnesota
- §Center for Human Nutrition, University of Texas Southwestern Medical Center, Dallas, Texas
Reprint requests and correspondence:
Dr. Ian J. Neeland, University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Mail Code 8830, Dallas, Texas 75390.
Objectives The goal of this study was to investigate the association between natriuretic peptides and body fat distribution in a multiethnic cohort.
Background Natriuretic peptides stimulate lipolysis, reduce weight gain, and promote adipocyte browning in animal models, but data are lacking in humans.
Methods A total of 2,619 participants without heart failure in the Dallas Heart Study underwent measurements of 1) B-type natriuretic peptide (BNP) and N-terminal pro–B-type natriuretic peptide (NT-proBNP); and 2) body fat distribution by dual energy x-ray absorptiometry and magnetic resonance imaging. Cross-sectional associations of natriuretic peptides with adiposity phenotypes were examined after adjustment for age, sex, race, comorbidities, and body mass index.
Results Median BNP and NT-proBNP levels in the study cohort (mean age 44 years; 56% women, 48% African Americans, 32% obese) were 3.0 and 28.1 pg/ml, respectively. Natriuretic peptide levels above the median were associated with a more favorable body fat profile and less insulin resistance, including lower visceral fat, liver fat, and homeostasis model assessment of insulin resistance index, and increased lower body fat and higher adiponectin (p < 0.05 for each). In multivariable analyses, NT-proBNP remained inversely associated with visceral fat (beta coefficient = −0.08; p < 0.0001) and liver fat (beta coefficient = −0.14; p < 0.0001) and positively associated with lower body fat (beta coefficient = 0.07; p < 0.0001) independent of age, sex, race, and obesity status; findings were similar with BNP. Adjustment for body composition, homeostasis model assessment of insulin resistance index, circulating androgens, and adipocytokines did not attenuate the associations.
Conclusions Higher natriuretic peptide levels were independently associated with a favorable adiposity profile, characterized by decreased visceral and liver fat and increased lower body fat, suggesting a link between the heart and adipose tissue distribution mediated through natriuretic peptides.
An inverse relationship between natriuretic peptide levels and obesity, traditionally defined by body mass index (BMI), has been firmly established (1–3). However, controversy exists as to the nature of this relationship and whether obesity influences, or is primarily influenced by, circulating natriuretic peptide levels. Although it was originally hypothesized that lower natriuretic peptide levels in obese individuals could be attributed to increased clearance by adipose tissue expressing the natriuretic peptide receptors (NPR)-C, studies have demonstrated that natriuretic peptides not cleared via this mechanism, such as N-terminal pro–B-type natriuretic peptide (NT-proBNP) and N-terminal atrial natriuretic peptide, have similar inverse associations with BMI. This suggests that decreased natriuretic peptide release from the heart, rather than clearance by adipose tissue, underlies this relationship (4,5).
A growing body of experimental evidence suggests that the heart exerts beneficial metabolic effects on adipose tissue metabolism and function through release of natriuretic peptides. Atrial natriuretic and B-type natriuretic peptides (BNPs) bind to NPR-A receptors on adipose tissue and stimulate lipolysis (6), promote browning of adipocytes (7), regulate body fat distribution by activation of peroxisome proliferator-activated receptor gamma gene expression (8), and enhance adiponectin secretion from adipocytes (9). As a result, mice that overexpress or are treated with exogenous infusions of natriuretic peptide exhibit reduced fat mass, improved glucose tolerance, and enhanced energy expenditure (7), suggesting that the “lipomobilizing” effects of natriuretic peptides may have salutary consequences on body fat metabolism and distribution. Conversely, a relative natriuretic peptide deficiency may contribute to obesity and an adverse adipose tissue distribution profile (10). However, data are lacking on the relationship of natriuretic peptides with adiposity phenotypes in humans.
We therefore investigated the cross-sectional associations of natriuretic peptide levels with body fat composition by using dual-energy x-ray absorptiometry and abdominal fat distribution by magnetic resonance imaging (MRI) in a large, multiethnic cohort of adults with extensive cardiovascular, metabolic, and adipose tissue imaging phenotyping. We hypothesized that higher levels of natriuretic peptides would be associated with a favorable adiposity profile, characterized by decreased visceral and liver fat and increased lower body (gluteal-femoral) subcutaneous fat independent of age, sex, race, and obesity status. In addition, we tested whether accounting for endocrine factors known to be associated with natriuretic peptides and adipose tissue distribution, including levels of insulin resistance, circulating androgens, and adipocytokines, would affect this relationship.
The DHS (Dallas Heart Study) is a multiethnic, probability-based, population cohort study of Dallas County adults, with a deliberate oversampling of African-American subjects. Detailed methods of the DHS have been described previously (11). Briefly, between 2000 and 2002, a total of 3,072 subjects completed the 3 DHS visits, including a detailed in-home survey, laboratory testing, and imaging studies. For the current study, participants with a left ventricular (LV) ejection fraction <50%, those with prevalent clinical heart failure (defined by self-report of “congestive heart failure, an enlarged heart, a weak heart, or cardiomyopathy”), and those with missing natriuretic peptide data were excluded, yielding a final sample size of 2,619. Participants provided written informed consent, and the protocol was approved by the institutional review board of the University of Texas Southwestern Medical Center.
Race/ethnicity, history of cardiovascular diseases (CVD), and smoking status were self-reported. Detailed descriptions of variable definitions for hypertension, hypercholesterolemia, and low high-density lipoprotein cholesterol have been previously described using conventional clinical definitions (12). Presence of the metabolic syndrome was defined according to the National Cholesterol Education Program's Adult Treatment Panel III report (13). Glomerular filtration rate (GFR) was estimated by using the Modification of Diet in Renal Disease equation (14). The homeostasis model assessment of insulin resistance index (HOMA-IR) was calculated according to fasting insulin (μIU/ml) × fasting glucose (mmol/l)/22.5 (15).
Natriuretic peptide, androgen, and adipocytokine measurements
Detailed methods describing measurements of NT-proBNP (Roche Diagnostics, Indianapolis, Indiana) and BNP (Alere Inc., San Diego, California) in the DHS have been published previously (4). The coefficient of variation for the NT-proBNP assay was 3.3% at a concentration of 282 pg/ml and 3.0% at a concentration of 6,012 pg/ml; for the BNP assay, it was 11.2% at a concentration of 30 pg/ml and 5.8% at concentrations >60 pg/ml. Total testosterone was measured in a subgroup of 695 women by using a competitive radioimmunoassay as previously described (16). The assay had a coefficient of variation of 7.7% at a concentration of 0.52 ng/ml. Circulating free testosterone was then calculated by using a published estimating equation previously validated in women (17). Adipocytokines including total adiponectin (18), leptin, and highly sensitive C-reactive protein levels were measured as previously described (19).
Body fat distribution and imaging measurements
BMI was calculated as weight (kilograms)/height (meters)2. Body surface area (BSA) was calculated according to the method of Tikuisis et al. (20). Waist circumference was measured 1 cm above the iliac crest, and hip circumference was measured at the widest circumference of the buttocks at the area of the greater trochanters. Dual-energy x-ray absorptiometry (Delphi W scanner, Hologic Inc., Bedford, Massachusetts, and Discovery software [version 12.2], Discovery Software Ltd., Bellingham, Washington) was used to measure total body fat, lean mass, percent body fat, and lower body subcutaneous fat. Lower body fat was delineated by 2 oblique lines crossing the femoral necks and converging below the pubic symphysis, and included gluteal-femoral fat (21). Visceral and subcutaneous abdominal fat mass were measured by using a 1.5-T MRI system (Intera, Philips Medical Systems, Best, the Netherlands) using a prospectively designed and validated method of fat mass prediction from a single MRI slice at the L2-L3 intervertebral level (22). Single-slice measurement of subcutaneous and visceral fat mass at this intervertebral level has been shown to be highly concordant with total abdominal fat mass measured at all intervertebral levels (R2 = 85% to 96%) (22). Liver fat was measured by using a 1.5-T 1H magnetic resonance spectroscopy and is reported as a percentage (23).
Cardiac MRI was performed by using the same aforementioned 1.5-T system. Left ventricular (LV) mass, end-diastolic and end-systolic volumes, and ejection fraction were calculated from short-axis sequences. Left ventricular hypertrophy (LVH) was defined as LV mass/BSA ≥89 g/m2 in women and ≥112 g/m2 in men, based on a phenotypically normal subpopulation of the DHS cohort (24).
Characteristics were compared between participants with natriuretic peptide levels above and below median values by using chi-square tests for dichotomous variables and Wilcoxon rank sum tests for continuous variables. Linear regression modeling was used to assess associations of natriuretic peptides with adiposity phenotypes, with the log-transformed natriuretic peptide as the independent variable and the adiposity measurement as the dependent variable. Standardized beta coefficients were used to facilitate comparisons between natriuretic peptides and adiposity measurements. The beta coefficient represents the unit change in 1 SD of the adiposity variable for a 1 SD change in the log-transformed natriuretic peptide level. Models were adjusted for age, sex, African-American race, hypertension, diabetes, LV mass/BSA, estimated GFR, smoking, and BMI. As a sensitivity analysis, multivariable models were created replacing BMI with total body fat and lean mass to assess the associations of natriuretic peptides with body fat distribution independent of overall fat and lean mass. Due to potential collinearity by inclusion of both fat and lean mass in multivariable models, variance inflation factors were tested, which were consistently <5. Multivariable models were also tested with additional adjustment for LV end-diastolic volume/BSA, menopausal status in women, and adipocytokine levels, as well as by replacement of hypertension and diabetes status with systolic blood pressure and HOMA-IR. Sensitivity analyses were performed excluding participants with hypertension, diabetes, GFR <60 ml/min/1.73 m2, LVH, and CVD. Lastly, the impact of circulating androgens on the relationship between natriuretic peptides and body composition was explored in a subgroup of 695 women age ≤50 years with concurrent plasma free testosterone measurements.
For all statistical testing, a 2-sided p value <0.05 was considered statistically significant. All statistical analyses were performed by using SAS version 9.2 (SAS Institute, Inc., Cary, North Carolina).
Univariable associations of natriuretic peptides with body fat composition
Among the 2,619 participants meeting study criteria, the mean age was 44; 56% were women and 48% were African American. Twenty-four percent of the study cohort was normal weight (BMI <25 kg/m2), 44% overweight (25 ≤ BMI < 30 kg/m2), and 32% obese (BMI ≥30 kg/m2). The median (25th, 75th percentile) NT-proBNP and BNP levels in the study cohort were 28.1 (13.2, 58.9) and 3.0 (0.0, 13.0) pg/ml, respectively. Baseline characteristics are presented in Table 1. Compared with individuals with natriuretic peptide levels below the median value, those with levels above the median were older and more likely to be female with greater prevalence of hypertension, LVH, and CVD (p < 0.05 for each).
Natriuretic peptide levels above the median value were associated with a more favorable body fat composition profile and less insulin resistance, including significantly lower weight, waist circumference, waist–hip ratio, and HOMA-IR, and higher adiponectin levels (p < 0.05 for each) (Table 1). Although participants with higher natriuretic peptide levels had less lean mass and more total body fat, the relationship between natriuretic peptides and total body fat was determined primarily through a positive association with lower body fat (i.e., gluteal-femoral) despite an inverse association with visceral and liver fat (p < 0.05 for each). The inverse association of natriuretic peptide levels with visceral fat and the positive association with lower body fat were generally consistent across BMI strata of normal weight, overweight, and obese for both NT-proBNP and BNP (Fig. 1).
After multivariable adjustment for age, sex, African-American race, hypertension, diabetes, LV mass/BSA, estimated GFR, smoking, and BMI, natriuretic peptide levels remained inversely associated with visceral fat (beta coefficient = −0.08 for NT-proBNP and −0.04 for BNP; p ≤ 0.01 for both) and liver fat (beta coefficient = −0.14 for NT-proBNP and −0.06 for BNP; p ≤ 0.01 for both) (Table 2). The inverse associations of natriuretic peptides with liver fat remained significant after additional adjustment for visceral fat mass (beta coefficient = −0.10 for NT-proBNP, p < 0.0001 and −0.05 for BNP, p = 0.01). In contrast, both NT-proBNP (beta coefficient = 0.07) and BNP (beta coefficient = 0.04) were positively associated with lower body fat (p < 0.0001 for both). Results were unchanged after replacement of BMI with total body fat and lean mass in the models. Although both NT-proBNP and BNP were associated with increased abdominal subcutaneous fat after multivariable adjustment in the model containing BMI (beta coefficient = 0.04 for NT-proBNP and 0.03 for BNP; p ≤ 0.01 for both), results were completely attenuated after adjustment for total fat and lean mass (Table 2). All findings were insensitive to exclusion of participants with hypertension, diabetes, GFR <60 ml/min/1.73 m2, LVH, and CVD; the findings were similar after additional adjustment for LV end-diastolic volume/BSA, menopausal status (in women), treatment with antihypertensive and statin medications, and adipocytokine levels in the models, and by replacement of hypertension and diabetes status with systolic blood pressure and HOMA-IR (Online Table 1). Findings were also similar when using sex-specific and age-stratified multivariable adjusted models (Online Tables 2 and 3). The multivariable adjusted association between higher natriuretic peptide levels and lower visceral fat was consistent across subgroups defined according to age, sex, race, and obesity status, with no interactions observed (Fig. 2). Exploratory analyses examining the relation between natriuretic peptides and the more clinically relevant anthropometric measure of waist–hip ratio demonstrated an inverse association after multivariable adjustment (beta coefficient = −0.08 for NT-proBNP [p < 0.0001] and −0.04 for BNP [p = 0.03]).
Effect of testosterone on the relationship between natriuretic peptides and adiposity phenotypes
In exploratory analyses restricted to 695 women age ≤50 years with concurrent plasma free testosterone measurements, the impact of circulating androgens on the association between natriuretic peptides and body fat composition was examined. The median (25th, 75th percentile) free testosterone level in this subgroup was 1.7 (1.3, 2.2) ng/ml, and the correlation coefficients (Spearman's rho) between free testosterone and natriuretic peptides were −0.13 (p = 0.001) and −0.08 (p = 0.04) for NT-proBNP and BNP, respectively. In multivariable analyses among this subgroup adjusting for age, African-American race, hypertension, diabetes, LV mass/BSA, estimated GFR, smoking, BMI, and the log-transformed natriuretic peptide level, free testosterone was independently associated with increased visceral fat (beta coefficient = 0.13, p < 0.0001) and negatively associated with lower body fat (beta coefficient = −0.05; p < 0.05), but showed no statistically significant association with abdominal subcutaneous or liver fat. Importantly, additional adjustment for free testosterone in the multivariable models did not attenuate the associations observed between natriuretic peptides and adiposity phenotypes (Online Table 4), suggesting that the relationship between natriuretic peptides and body composition may be independent of circulating androgen levels.
In this large, population-based cohort of community-dwelling adults with well-characterized body fat composition and distribution, we demonstrated a significant association between higher levels of natriuretic peptides and a favorable adiposity profile, including decreased visceral and liver fat and increased lower body fat, independent of age, sex, race, and obesity status. Accounting for levels of insulin resistance, circulating androgens, and adipocytokines did not attenuate this association, suggesting that the link between natriuretic peptides and body fat distribution may be at least partially independent of peripheral endocrine effects. In addition, although visceral, liver, and lower body fat are highly sex dependent, with less visceral and liver fat and greater lower body fat seen among females, our findings do not suggest that the relationship between higher natriuretic peptide levels and a “gynoid” adiposity profile is mediated exclusively through female sex; as the findings were independent of sex in the models and were consistent in subgroups of men and women. Taken in the context of previous experimental and epidemiological evidence, our observations provide insight into the potential interplay between the heart and adipose tissue, generating the hypothesis that natriuretic peptides released by cardiomyocytes may exert beneficial effects on fat metabolism in humans.
Few studies have examined the relationship between natriuretic peptides and precise estimates of body fat distribution. A study of 608 patients with type 2 diabetes from Japan demonstrated an inverse association between BNP and BMI, with a more robust inverse association between BNP and visceral fat compared with other measures of adiposity (25). A more recent report among third-generation participants in the Framingham Heart Study similarly described inverse associations between NT-proBNP and visceral fat in a multivariable adjusted analysis including BMI, with no independent association seen with abdominal subcutaneous fat (26). In addition to confirming the link between natriuretic peptides and reduced visceral fat among a larger and more ethnically diverse population, with greater insulin resistance and more extensive cardiac phenotyping, we demonstrated several novel findings. These include an inverse association with liver fat, a well-known correlate of diabetes and the metabolic syndrome (27), and a positive association with lower body fat, an adipose tissue depot gaining increasing recognition as potentially protective against many CVD risk factors. Although the associations observed in our study were relatively small in magnitude, they are consistent with those seen in the Framingham Heart Study (26) and may relate to the use of log-transformed natriuretic peptide levels in both analyses. In addition, the distribution of natriuretic peptide levels in our population was within the “normal” range, and thus small incremental increases within this range are expected to have smaller effect sizes.
The positive association with lower body fat is particularly notable, as preferential storage of excess adiposity in the lower body subcutaneous fat compartment is associated with a lower prevalence of metabolic risk factors (21,28), and loss of this fat reservoir over time may result in higher blood pressure, cholesterol, and blood glucose levels (29). In the prospective Malmo Diet and Cancer study (30), higher natriuretic peptide levels were associated with a lower incidence of diabetes over follow-up, and we have recently reported in the DHS that greater lower body fat may protect against diabetes development (31). The current findings suggest a link between these last 2 observations and raise the possibility that fat redistribution to the lower body subcutaneous compartment may represent a mechanism by which natriuretic peptides protect against insulin resistance and diabetes. In addition, because our findings demonstrate that natriuretic peptide levels have variable relationships with different adipose tissue depots, analyses limited to total body measurements of adiposity may not accurately characterize the complex relationship between natriuretic peptides and body fat.
Natriuretic peptide signaling may actively influence differential body fat distribution. Although natriuretic peptides have lipolytic and lipomobilizing effects on adipose tissue (32), the magnitude of lipolysis may vary among different adipose tissue depots. For example, the rate of lipolysis is lowest in subcutaneous gluteal-femoral fat, intermediate in abdominal subcutaneous fat, and highest in visceral fat (33). Natriuretic peptides may differentially influence lipolysis through higher NPR-A receptor expression within visceral fat compared with subcutaneous fat (34), making lower body subcutaneous fat relatively resistant to natriuretic peptide–mediated lipolysis.
An alternative explanation for our findings could be that the association between natriuretic peptides and adiposity may indeed be bidirectional. Experimental and observational data suggest that increased body mass leads to decreased natriuretic peptide levels (1–4) and, conversely, that weight loss increases natriuretic peptide levels (35,36). The development of abdominal obesity may result in a vicious cycle, with inhibition of natriuretic peptide–mediated lipolysis and perpetuation of visceral and liver fat accumulation, ultimately resulting in an adverse adiposity profile and metabolic disease. Obese individuals without heart failure may also be prone to a relative natriuretic peptide deficiency stemming from suppressive effects of circulating androgens on natriuretic peptide synthesis (16) and possibly from the systemic lipotoxic and cytokine effects of ectopic fat on cardiac tissue (37), leading to impaired natriuretic peptide synthesis (38) and release (39). This vicious cycle may be augmented by further suppression of natriuretic peptide levels through increased clearance via the NPR-C receptor expressed in adipose tissue, with more rigorous clearance among those with central abdominal obesity. In support of this theory are the findings that NPR-C gene expression is up-regulated in visceral fat compared with subcutaneous fat in both insulin-sensitive and insulin-resistant individuals (34).
Strengths and limitations
Strengths of the current study include a racially diverse sample of adults applicable to the general population and detailed phenotyping according to multiple novel adipose tissue-imaging techniques. Several limitations also merit comment. Because the analysis was cross-sectional, we were unable to determine the directionality of the relationship between natriuretic peptides and body fat distribution beyond what has been suggested from experimental data; therefore, the findings of this study should be viewed as hypothesis generating and require further confirmation in prospective studies with serial assessment of body fat distribution. Second, although we excluded participants with self-reported prevalent heart failure and LV systolic dysfunction, the contribution of undiagnosed heart failure with preserved ejection fraction to natriuretic peptide levels cannot be quantified; however, individuals with this disorder tend to be overweight or obese, thereby increasing type II error and biasing our study toward the null hypothesis instead of increasing the likelihood of false-positive results. Third, because total abdominal subcutaneous adipose tissue was measured in our study, we were unable to test the independent associations of its superficial and deep components (which may have divergent relationships with cardiometabolic risk markers) with natriuretic peptides. Fourth, we are unable to examine the role that adipocytokines other than adiponectin, leptin, and C-reactive protein may play in the relationship between natriuretic peptides and body fat distribution. Lastly, the current findings are not necessarily generalizable to individuals age >65 years, of Asian descent/ethnicity, or with symptomatic heart failure in whom both body fat distribution and natriuretic peptide levels may be different compared with our study population.
It has become increasingly evident that the impact of obesity on cardiovascular and metabolic risk is heterogeneous and highly dependent on the distribution and consequent metabolic activity of body fat. For example, the accumulation of fat around the abdominal viscera and other ectopic sites such as the heart and liver is associated with multiple CVD risk factors (40) and the development of diabetes (31). In contrast, increased fat storage in the lower body gluteal-femoral region seems to ameliorate some of the risk associated with adiposity (21,41). Therefore, the discovery that natriuretic peptides can favorably affect body fat metabolism and distribution in animal experiments, and its translation into human epidemiology, has several implications. First, the finding that natriuretic peptides differentially associate with body fat composition measures, irrespective of obesity status, underscores the need for further research into specific adipose tissue depots and their relation with the cardiovascular system. Second, up-regulating the natriuretic peptide system among obese individuals represents a potential therapeutic approach to treating abdominal obesity and its adverse metabolic and vascular effects. For example, although its use was abandoned due to excess risk of angioedema, the vasopeptidase inhibitor omapatrilat raised natriuretic peptide levels, leading to improved sodium/water balance and decreased peripheral vascular resistance and blood pressure (42). Another strategy may be to increase physical activity, because exercise both enhances natriuretic peptide release (43) and preferentially reduces visceral fat mass independent of weight loss (44). If our findings are prospectively confirmed, similar therapeutic strategies aimed at increasing natriuretic peptide levels may be targeted to reduce accumulation of visceral and ectopic fat and drive redistribution to more metabolically favorable adipose storage depots.
For supplementary tables, please see the online version of this article.
This work was supported by award number T32HL007360 from the National Heart, Lung, and Blood Institute to Dr. Neeland, by grants UL1DE019584 and PL1DK081182 from the National Institutes of Health, and by grant number UL1TR000451 from the National Center for Advancing Translational Sciences. Biomarker measurements were supported by investigator-initiated grants from Roche Diagnostics and Alere Inc. Dr. McGuire has received research support from Orexigen as member of the Data Safety Monitoring Committee for an obesity trial; and has served as a consultant and/or received research support for the following: sanofi-aventis, Boehringer Ingelheim, Takeda Pharmaceuticals, Janssen Pharmaceuticals, Genentech, Roche Diagnostics, Pfizer, AstraZeneca, Bristol-Myers Squibb, Daiichi Sankyo, Merck, Orexigen, Regeneron, and Eli Lilly & Company. Dr. de Lemos has received research support from Roche Diagnostics and Abbott Diagnostics. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose.
- Abbreviations and Acronyms
- body mass index
- B-type natriuretic peptide
- body surface area
- cardiovascular disease
- glomerular filtration rate
- homeostasis model assessment of insulin resistance index
- left ventricular
- left ventricular hypertrophy
- magnetic resonance imaging
- natriuretic peptide receptors
- N-terminal pro–B-type natriuretic peptide
- Received January 8, 2013.
- Revision received February 21, 2013.
- Accepted March 12, 2013.
- American College of Cardiology Foundation
- Wang T.J.,
- Larson M.G.,
- Levy D.,
- et al.
- Mehra M.R.,
- Uber P.A.,
- Park M.H.,
- et al.
- Das S.R.,
- Drazner M.H.,
- Dries D.L.,
- et al.
- Costello-Boerrigter L.C.,
- Burnett J.C. Jr..
- Sengenes C.,
- Berlan M.,
- De Glisezinski I.,
- Lafontan M.,
- Galitzky J.
- Miyashita K.,
- Itoh H.,
- Tsujimoto H.,
- et al.
- Tsukamoto O.,
- Fujita M.,
- Kato M.,
- et al.
- Clerico A.,
- Giannoni A.,
- Vittorini S.,
- Passino C.
- Deo R.,
- Khera A.,
- McGuire D.K.,
- et al.
- ↵(2002) Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation 106:3143–3421.
- Chang A.Y.,
- Abdullah S.M.,
- Jain T.,
- et al.
- Abate N.,
- Garg A.,
- Coleman R.,
- Grundy S.M.,
- Peshock R.M.
- Kotronen A.,
- Yki-Jarvinen H.
- Okura T.,
- Nakata Y.,
- Yamabuki K.,
- Tanaka K.
- Iozzo P.
- Morabito D.,
- Vallotton M.B.,
- Lang U.
- Fox C.S.,
- Massaro J.M.,
- Hoffmann U.,
- et al.
- Gallagher D.,
- Kelley D.E.,
- Yim J.E.,
- et al.
- Corti R.,
- Burnett J.C. Jr..,
- Rouleau J.L.,
- Ruschitzka F.,
- Luscher T.F.