OBJECTIVE—Obesity is an important risk factor for heart failure in both women and men. Dyssynchrony between right and left ventricular contraction and relaxation has been identified as an independent predictor of heart failure. We examined the relationship of ventricular synchronization abnormalities with the concentration of proinflammatory cytokines in obese women at baseline and after sustained weight loss.

RESEARCH DESIGN AND METHODS—Echocardiographic parameters of ventricular dyssynchrony, circulating levels of tumor necrosis factor (TNF)-α, interleukin (IL)-6, IL-18, and C-reactive protein (CRP) were investigated in 67 healthy, premenopausal obese women and 40 age-matched normal-weight women.

RESULTS—Compared with nonobese women, obese women had increased concentrations of CRP (P < 0.01), TNF-α (P < 0.01), IL-6 (P < 0.01), and IL-18 (P < 0.01). Moreover, obese women had a higher myocardial performance index (P < 0.02) and lower transmitral Doppler flow (P < 0.05), pulmonary venous flow analysis (P < 0.02), and ejection fraction (P < 0.05), indicating ventricular dyssynchrony. Concentrations of CRP, TNF-α, and IL-6 were related to anthropometric indexes of obesity and to echocardiographic parameters of ventricular dyssynchrony. After 1 year of a multidisciplinary program of weight reduction, obese women lost at least 10% of their original weight. This was associated with reduction of cytokine (P < 0.01) and CRP (P < 0.02) concentrations and with improvement of echocardiographic parameters of ventricular dyssynchrony, which correlated with changes in adiposity, particularly visceral adiposity.

CONCLUSIONS—In obese women, ventricular dyssynchrony correlates with body fat, possibly through inappropriate secretion of cytokines. Weight loss represents a safe method for downregulating the inflammatory state and ameliorating cardiac function in obese women.

Dyssynchrony between right and left ventricular contraction and relaxation has been identified as an independent predictor of cardiac mortality in patients with heart failure (1,2). Moreover, cardiac resynchronization reduces mortality from progressive heart failure in patients with symptomatic left ventricular dysfunction and ventricular dyssynchrony (3). Because approximately one-half of all deaths among patients with heart failure occur because of progressive cardiac dysfunction, it may be important to evaluate heart function among people at risk of heart failure.

Obesity is an important risk factor for heart failure in both women and men. Approximately 11 and 14% of heart failure cases among men and women in the community, respectively, are attributable to increased BMI (4). This is associated with altered left ventricular remodeling, possibly owing to increased hemodynamic load, neurohormonal activation, and increased cytokine production (5). Adipocytes synthesize and secrete several cytokines, including tumor necrosis factor (TNF)-α (6) and interleukin (IL)-6 (7). Elevated levels of IL-6, TNF-α, and IL-18 as well as the sensitive marker of inflammation, C-reactive protein (CRP), have been found to be associated with proxy indicators of elevated body fat (8) and with risk of heart failure (9,10). To the best of our knowledge, no previous study has evaluated the relationships among obesity, ventricular dyssynchrony, and circulating proinflammatory cytokines; neither has there been any study investigating the influence of weight reduction. Therefore, the aim of the present study was to evaluate, in premenopausal obese women, whether ventricular synchronization abnormalities were associated with body weight and whether circulating proinflammatory cytokines were involved in this association. Moreover, the effect of sustained weight loss (at least 10% of the initial body weight) was also investigated.

Obese and nonobese premenopausal women, aged 25–44 years, were recruited from the outpatient department of the teaching hospital at the Second University of Naples, Italy. All obese women (n = 67) were sedentary (<1 h/week of physical activity), with no evidence of participation in diet-reduction programs within the last 6 months. Women were asked to complete a personal health and medical history questionnaire that served as a screening tool. Women were excluded from the study if they had type 2 diabetes, hypertension, cardiovascular disease, psychiatric problems, a history of alcohol abuse, or if they smoked or took any medication. All women had normal results for laboratory data (urea nitrogen, creatinine, electrolytes, liver function tests, uric acid, thyroxin, and complete blood count), chest X-rays, and electrocardiograms. Forty nonobese women, matched for age to the obese women, served as the control group. All women (both groups) had normal glucose tolerance (2-h postload plasma glucose <7.8 mmol/l) and were studied in the same phase of the menstrual cycle. Each woman provided informed written consent to participate in this study, which was approved by the institutional committee of ethical practice of our institution.

All women were studied after a 14-h overnight fast and were required to refrain from drinking alcohol over the previous 10 days. Women were measured to the nearest 0.5 cm in height and 100 g in weight. Height was determined with the subject standing without shoes and weight with the subject in stockinged feet, using a mechanical scale. BMI was calculated as weight in kilograms divided by the square of height in meters. Waist-to-hip ratio (WHR) was calculated as waist circumference in centimeters divided by hip circumference in centimeters.

Obese women were treated with a multidisciplinary approach consisting of diet, exercise, and behavioral and nutritional counseling. The mean recommended daily caloric intake was 1,300 kcal, ranging from 1,250 to 1,350 kcal. The recommended composition of the dietary regimen was 178 g carbohydrates, 73 g proteins, 9 g saturated fat, 17 g monounsaturated fat, 8 g polyunsaturated fat, 1.1 g sodium, 3 g potassium, 0.5 g calcium, 1.2 g phosphorus, and 25 g fiber. This regimen was very similar to the Mediterranean-Style Step I diet (11), which is under active evaluation by the American Heart Association as a possible tool to lower cardiovascular risk in the population. Physical activity was encouraged in all women (i.e., to walk for at least 1 h three times a week).

All women underwent two-dimensional and Doppler echocardiography before starting the intervention, with measurements taken according to the American Society of Echocardiography recommendations (12). Only frames with optimal visualization of interfaces and simultaneously showing septum, left ventricular internal diameter, and posterior wall were used for reading. Two observers read the tracings, and the mean value from at least five measurements per observer were computed. Left ventricular mass was calculated according to Troy et al. (13) and was normalized by both body surface area and height (14) to correct for the effect of overweight. The ejection fraction was calculated from area measurements using the area-length method applied to the average apical area (12). Left ventricular internal dimension and interventricular septal were measured at end diastole and end systole by American Society of Echocardiography recommendations (12). Myocardial synchronization was evaluated by diastolic filling time, mitral regurgitation time (the ratio of velocity time intervals of mitral early [E] and late [A] diastolic flows [E/A ratio]), pulmonary vein flow analysis (PVFs/PVFd ratio), the effective ejection time (ET) (ejection fraction), right ventricular relaxation time (RV-RTm), and myocardial performance index (MPI). Doppler velocities and time intervals were measured from mitral inflow and left ventricular outflow recordings. Isovolumetric relaxation time (IRT) was the time interval from cessation of left ventricular outflow to onset of mitral inflow. ET was the time interval from the onset and cessation of left ventricular outflow, and mitral early diastolic flow deceleration time was the time interval between the peak early diastolic velocity and the end of early diastolic flow. Total systolic time interval was measured from the cessation of one mitral flow to the beginning of the following mitral inflow. Isovolumetric contracting time (ICT) was calculated by subtracting ET and IRT from the total systolic time interval. The ratio of velocity time intervals of mitral early and late diastolic flows was calculated. MPI was calculated by using the formula MPI = (IRT + ICT)/ET. Right ventricular function (RV-RTm) was evaluated by Doppler tissue imaging of the right ventricular tricuspid anulus (15).

Serum samples for cytokine and CRP levels were stored at −80°C until assayed. Serum concentrations of TNF-α, IL-6, and IL-18 were determined in duplicate using a highly sensitive quantitative sandwich enzyme assay (Quantikine HS; R&D Systems, Minneapolis, MN). High-sensitivity CRP was assayed by immunonephelometry on a Behring Nephelometer 2 (Dade Behring, Marburg, Germany). Assays for serum total and HDL cholesterol, triglyceride, and glucose levels were performed in the hospital’s chemistry laboratory. Plasma insulin levels were assayed by radioimmunoassay (Ares, Serono, Italy). Insulin sensitivity in the fasting state was assessed with homeostasis model assessment (HOMA) and calculated with the following formula: fasting plasma glucose (millimoles per liter) times fasting serum insulin (microunits per milliliter) divided by 25, as described by Matthews et al. (16).

Data are presented as group means ± SD. One-way ANOVA was used to compare baseline data, followed by Scheffé’s test for pairwise comparisons. Multiple comparisons were made with ANOVA, followed by post hoc analysis (Student-Newmann-Keuls test) to locate the significant difference indicated with ANOVA. Linear regression and correlation were used to evaluate relationships between variables. Multivariate regression analysis tested the independent association and contribution of changes in BMI, WHR, HOMA, CRP, and plasma cytokine concentrations with the dependent variables (indexes of cardiac function). A value of P < 0.05 was considered significant. All calculations were made on an IBM PC (version 9.0; SPSS, Chicago, IL).

The characteristics of women are shown in Table 1. The mean age was similar in the two groups, and BMI and WHR were significantly higher in the obese group. Compared with nonobese women, obese women had higher fasting glucose and insulin concentrations and HOMA scores. By contrast, serum lipid and blood pressure levels were not different between the two groups (Table 1). As expected for an obese female population, serum TNF-α (P < 0.01), IL-6 (P < 0.01), IL-18 (P < 0.01), and CRP (P < 0.01) levels were higher than those of nonobese women (Table 1). Electrocardiogram parameters were not different between the two groups (data not shown).

Echocardiographic/Doppler measurements are presented in Table 1. Compared with nonobese women, obese women had longer left ventricular internal diastolic diameter (P < 0.01), thicker interventricular septum (P < 0.05) and left ventricular posterior wall (P < 0.04), but lower ejection fraction (P < 0.05) (Table 1). Moreover, obese women had lower PVFs/PVFd (P < 0.02) and E/A ratios (P < 0.02) and higher MPI (P < 0.02) and RV-RTm (P < 0.02), indicating ventricular dyssynchrony (Table 1).

Serum cytokine and CRP levels and HOMA scores were related to measures of total (BMI) and, particularly, central (WHR) obesity (Table 2). Measures of total and central adiposity were inversely related to ejection fraction, E/A ratio, and PVFs/PVFd ratio and directly related to MPI and RV-RTm (Table 2). Concentrations of TNF-α, IL-6, and CRP were inversely related to ejection fraction, E/A ratio, and PVFs/PVFd ratio and directly related to MPI and RV-RTm (Table 2). Insulin levels and HOMA scores were not related to indexes of cardiac function (ejection fraction, MPI, RV-RTm, E/A ratio, and PVFs/PVFd ratio). To investigate which variables might account for the association between cardiac function and circulating IL-6, TNF-α, and CRP levels, multiple regression analysis was performed. The independent variables were those significantly correlated with MPI in univariate analysis. Only BMI (P < 0.05) and WHR (P < 0.02) were independently and significantly associated with MPI and levels of IL-6, TNF-α, and CRP.

Effects of weight loss

All obese women lost at least 10% of their initial body weight, with a mean decrease of 9.8 ± 1.5 kg (range 7.5–13). This was associated with significant reductions in BMI, WHR, fasting glucose, insulin levels, HOMA scores, and IL-6, IL-18, TNF-α, and CRP concentrations (Table 3). Echocardiographic parameters of cardiac function improved after weight loss (Table 3). Serum total cholesterol, cholesterol subfractions, triglycerides, and blood pressure values were not significantly decreased after the same period. Changes in cytokine and CRP concentrations after weight loss were related to changes in BMI and WHR (Table 4). Changes in BMI and WHR after weight loss were associated with improvements of cardiac function indexes (MPI, RV-RTm, E/A ratio, and PVFs/PVFd ratio) (Table 4). After weight loss, the decline in serum TNF-α, IL-6, and CRP levels correlated with the changes in ejection fraction, RV-RTm, E/A ratio, PVFs/PVFd ratio, and MPI. For evaluating the independent association of changes in echocardiographic parameters of cardiac function with changes in serum IL-6, TNF-α, and CRP levels, a multivariate analysis was performed, in which MPI was the dependent variable and BMI, WHR, IL-6, TNF-α, and CRP levels were the independent variables. The model explained 65% of the variability in the change of MPI, with changes in IL-6, TNF-α, and CRP concentrations.

In nonobese women, anthropometric, metabolic, and echocardiographic parameters were not different from baseline after 12 months (data not shown).

The main findings of this study are that dyssynchrony between right and left ventricular contraction and relaxation positively correlated with indexes of adiposity, particularly visceral adiposity, and proinflammatory cytokine levels in obese women and that reduction of body weight resulted in significant improvement of the sequelae of ventricular dyssynchrony. Because any associated conditions could be ruled out through clinical investigation and close laboratory evaluation, it is reasonable to hypothesize that in the clinical setting, any changes in cardiac function can be interpreted as a consequence of weight loss itself.

Studies have identified dyssynchrony between right and left ventricular contraction and relaxation as an independent predictor cardiac mortality in patients with heart failure (2). Obesity is associated with an increased risk of developing heart failure, irrespective of the presence of other associated risk factors, such as hypertension, hyperlipidemia, hyperinsulinemia, diabetes, elevated alcohol consumption, and smoking (4). Many of these associated factors were, by inclusion criteria, not present in our population of obese women; this seems to suggest that the morphologic and functional echocardiographic alterations are due to obesity.

The increase of MPI indicates a worse functional outcome in obese women. MPI is a Doppler index of combined systolic and diastolic function (17) derived from aortic and mitral flows and has been shown to be related to morbidity and mortality in patients with various cardiovascular disorders, including heart failure (18,19). Moreover, the diminished diastolic filling time, the prolongation of mitral regurgitation and of RV-RTm, and the diminished effective ET also suggest that excess body fat may influence cardiac synchronization in obese women.

The present study provides evidence of an association between ventricular dyssynchrony and body weight in obese women. As for the background of this association, obesity may be responsible for an increased inflammatory process and a poor cardiac contractile function may be linked to a greater inflammatory process (20). More than 25 years ago, Lefer and Rovetto (21) reported that the sera of septic patients and experimental animals contained a “myocardial depressant factor,” the molecular nature of which has eluded definitive identification in the intervening years. During the past decade, TNF-α and IL-1β were shown to be present in the sera of septic patients and responsible for most, if not all, of the reversible cardiac depression often seen with this syndrome (22). These data are consistent with earlier reports (23) that soluble inflammatory mediators in medium conditioned by activated immunocytes altered the contractile responsiveness of beating cardiac muscle cells to β-adrenergic agonists, an effect that could be mimicked in this in vitro preparation by recombinant TNF-α or IL-1β. Interest in these findings has been amplified by reports (24) of elevated circulating as well as intracardiac TNF-α levels in patients with heart failure. Accordingly, we found that obese women had higher circulating levels of TNF-α, IL-6, and CRP and impaired cardiac function as compared with nonobese women. Moreover, several clinical studies (9) have suggested that serum levels of TNF, IL-6, and CRP are elevated in patients with congestive heart failure regardless of the etiology of the condition. Furthermore, elevated blood levels of these inflammatory markers correlate with worsening functional class, increased hospitalization rates, and poorer survival (25). It can be speculated that the detrimental effect of obesity in cardiac function may also be due to its ability to increase circulating TNF-α, IL-6, and CRP. Interestingly enough, IL-6 and TNF-α are expressed in adipose tissue. Systemic concentrations of IL-6 increase with adiposity, and it has been suggested that ∼30% of total circulating IL-6 originates from adipose tissue (7); moreover, in vitro release of TNF-α by adipocytes has been reported (26). Circulating concentrations of TNF-α or IL-6 have been found to be associated with BMI (27), a finding confirmed by our data. Moreover, the greater association we found between WHR and TNF-α, IL-18, and IL-6 concentrations suggests that body fat distribution may influence cytokine levels more than total fat and hence, influence cardiac function. Accordingly, the concentrations of TNF-α, IL-6, and CRP were positively related to MPI and RV-RTm and negatively related to transmitral Doppler flow, PVF analysis, and ejection fraction. All of this seems to suggest that cytokines may be partly responsible for dyssynchrony between right and left ventricular contraction and relaxation observed in obese women, particularly those with visceral obesity.

Recent research has begun to clarify some of the intracellular signaling mechanisms that contribute to cardiac myocyte contractile dysfunction. IL-6 has been shown to rapidly suppress voltage-dependent Ca2+ current in adult rat ventricular myocytes (28). Consistent with these data, higher concentrations of recombinant human TNF-α have been shown (29) to result in rapid and reversible declines in contractile function of isolated hamster papillary muscles and of adult guinea pig and rabbit ventricular myocytes. The effect of recombinant human TNF-α was apparent within minutes, implicating activation of the constitutively expressed nitric oxide synthase isoform in cardiac myocytes (i.e., endothelial nitric oxide synthase or inducible nitric oxide synthase) (30). Although of considerable mechanistic interest, the physiological or clinical relevance of the high concentrations of cytokines in obesity heart dysfunction remains to be determined.

The results obtained after weight loss in obese women also support a role for visceral fat as a key factor predisposing toward cardiac dysfunction, possibly through inappropriate cytokine secretion. In fact, at the same level of body weight reduction, women with the greatest degree of visceral obesity had the greatest decrease of cytokine and CRP levels and the greatest improvement of cardiac functions. Thus, the improvement of cardiac function after weight loss in obese women was more marked in those who lost more visceral fat and was strictly associated with a decrease in cytokine concentrations.

This study shows that in obese women heart contractile dysfunction is associated with increased body fat and particularly visceral fat. A likely mechanism for this association is through plasma cytokine levels, which correlated with indexes of cardiac dyssynchrony both at baseline and after sustained weight loss. Studies in cell biology, animal models, clinical research, and epidemiology have been remarkably consistent, suggesting that contractile dysfunction may be linked to an inflammatory process (9). This hypothesis has found convincing support, particularly the one linking inflammation to cardiovascular risk through changes in cardiac function (31,32). However, inflammation may be a modifiable risk factor amenable to correction by drugs (33) or lifestyle modifications (34). Because of the powerful association with obesity, weight loss may be another safe method for downregulating the inflammatory status of obese subjects, with the goal of reducing their cardiovascular risk.

Table 1—

Clinical characteristics of the study women

ObeseNonobeseP
n 67 40  
Age (years) 36.5 ± 4.6 35.1 ± 5.1 NS 
BMI (kg/m237.6 ± 2.1 23.6 ± 1.5 <0.001 
WHR 0.84 ± 0.07 0.73 ± 0.04 <0.001 
Systolic blood pressure (mmHg) 124.6 ± 5.9 122.8 ± 5.1 NS 
Diastolic blood pressure (mmHg) 83.8 ± 3.8 82.6 ± 3.5 NS 
Fasting glucose (mmol/l) 5.5 ± 0.5 4.9 ± 0.4 <0.05 
Fasting insulin (μU/ml) 16.5 ± 3.2 8.1 ± 2.3 <0.001 
HOMA 3.6 ± 0.4 1.7 ± 0.2 <0.001 
Total cholesterol (mmol/l) 4.9 ± 0.4 4.8 ± 0.6 NS 
LDL cholesterol (mmol/l) 3.4 ± 0.4 3.3 ± 0.4 NS 
HDL cholesterol (mmol/l) 1.0 ± 0.3 1.1 ± 0.3 NS 
Triglyceride (mmol/l) 1.4 ± 0.6 1.3 ± 0.3 NS 
TNF-α (pg/ml) 5.8 ± 1.5 3.5 ± 0.7 <0.001 
IL-6 (pg/ml) 4.2 ± 0.9 1.7 ± 0.5 <0.001 
IL-18 (pg/ml) 227.5 ± 27.4 129.3 ± 25.8 <0.001 
CRP (mg/l) 3.4 ± 0.7 1.2 ± 0.3 <0.001 
LVM/BSA (g/m294.1 ± 11 72.2 ± 10 <0.05 
LVM/h2 (g/m263.4 ± 8 47.3 ± 8 <0.001 
Fractional shortening (%) 31 ± 3 37 ± 6 <0.05 
LVIDD (mm) 51.7 ± 5.1 41.1 ± 4.9 <0.05 
IVS (mm) 10.9 ± 1.6 8.2 ± 1.1 <0.05 
LVPW (mm) 10.1 ± 1.3 7.5 ± 1.8 <0.05 
Mitral deceleration (ms) 156 ± 13 195 ± 19 <0.001 
E/A ratio 0.9 ± 0.2 1.3 ± 0.3 <0.001 
MPI 0.57 ± 0.08 0.38 ± 0.04 <0.001 
PVFs/PVFd ratio 1.41 ± 0.08 1.60 ± 0.5 <0.001 
RV-RT (ms) 42.4 ± 5 10.3 ± 4 <0.001 
Ejection fraction (%) 50 ± 7 66 ± 11 <0.02 
ObeseNonobeseP
n 67 40  
Age (years) 36.5 ± 4.6 35.1 ± 5.1 NS 
BMI (kg/m237.6 ± 2.1 23.6 ± 1.5 <0.001 
WHR 0.84 ± 0.07 0.73 ± 0.04 <0.001 
Systolic blood pressure (mmHg) 124.6 ± 5.9 122.8 ± 5.1 NS 
Diastolic blood pressure (mmHg) 83.8 ± 3.8 82.6 ± 3.5 NS 
Fasting glucose (mmol/l) 5.5 ± 0.5 4.9 ± 0.4 <0.05 
Fasting insulin (μU/ml) 16.5 ± 3.2 8.1 ± 2.3 <0.001 
HOMA 3.6 ± 0.4 1.7 ± 0.2 <0.001 
Total cholesterol (mmol/l) 4.9 ± 0.4 4.8 ± 0.6 NS 
LDL cholesterol (mmol/l) 3.4 ± 0.4 3.3 ± 0.4 NS 
HDL cholesterol (mmol/l) 1.0 ± 0.3 1.1 ± 0.3 NS 
Triglyceride (mmol/l) 1.4 ± 0.6 1.3 ± 0.3 NS 
TNF-α (pg/ml) 5.8 ± 1.5 3.5 ± 0.7 <0.001 
IL-6 (pg/ml) 4.2 ± 0.9 1.7 ± 0.5 <0.001 
IL-18 (pg/ml) 227.5 ± 27.4 129.3 ± 25.8 <0.001 
CRP (mg/l) 3.4 ± 0.7 1.2 ± 0.3 <0.001 
LVM/BSA (g/m294.1 ± 11 72.2 ± 10 <0.05 
LVM/h2 (g/m263.4 ± 8 47.3 ± 8 <0.001 
Fractional shortening (%) 31 ± 3 37 ± 6 <0.05 
LVIDD (mm) 51.7 ± 5.1 41.1 ± 4.9 <0.05 
IVS (mm) 10.9 ± 1.6 8.2 ± 1.1 <0.05 
LVPW (mm) 10.1 ± 1.3 7.5 ± 1.8 <0.05 
Mitral deceleration (ms) 156 ± 13 195 ± 19 <0.001 
E/A ratio 0.9 ± 0.2 1.3 ± 0.3 <0.001 
MPI 0.57 ± 0.08 0.38 ± 0.04 <0.001 
PVFs/PVFd ratio 1.41 ± 0.08 1.60 ± 0.5 <0.001 
RV-RT (ms) 42.4 ± 5 10.3 ± 4 <0.001 
Ejection fraction (%) 50 ± 7 66 ± 11 <0.02 

Data are group means ± SD. IVS, interventricular septum; LVM/BSA, left ventricular mass index/body surface area; LVM/h2, left ventricular mass index/height squared; LVIDD, left ventricular internal diastolic diameter; LVPW, left ventricular posterior wall.

Table 2—

Relationships of anthropometric measures of obesity and concentrations of proinflammatory cytokines with echocardiographic parameters in obese women

BMIWHRTNF-αIL-6IL-18CRP
TNF-α* 0.29 0.41 — 0.10 0.14 0.09 
IL-6* 0.42 0.54§ 0.10 — 0.21 0.20 
IL-18* 0.27 0.51§ 0.14 0.21 — 0.14 
CRP* 0.29 0.33 0.09 0.20 0.14 — 
HOMA 0.31 0.51§ 0.35 0.28 0.33 0.28 
Ejection fraction −0.25 −0.39 −0.31 −0.21 −0.10 −0.34 
E/A ratio −0.20 −0.33 −0.27 −0.19 −0.06 −0.32 
MPI 0.29 0.39 0.35 0.23 0.10 0.29 
PVFs/PVFd ratio −0.23 −0.46§ −0.29 −0.21 −0.07 −0.30 
RV-RTm 0.27 0.35 0.33 0.21 0.12 0.26 
BMIWHRTNF-αIL-6IL-18CRP
TNF-α* 0.29 0.41 — 0.10 0.14 0.09 
IL-6* 0.42 0.54§ 0.10 — 0.21 0.20 
IL-18* 0.27 0.51§ 0.14 0.21 — 0.14 
CRP* 0.29 0.33 0.09 0.20 0.14 — 
HOMA 0.31 0.51§ 0.35 0.28 0.33 0.28 
Ejection fraction −0.25 −0.39 −0.31 −0.21 −0.10 −0.34 
E/A ratio −0.20 −0.33 −0.27 −0.19 −0.06 −0.32 
MPI 0.29 0.39 0.35 0.23 0.10 0.29 
PVFs/PVFd ratio −0.23 −0.46§ −0.29 −0.21 −0.07 −0.30 
RV-RTm 0.27 0.35 0.33 0.21 0.12 0.26 
*

Log transformed;

P < 0.05;

P < 0.02;

§

P < 0.01.

Table 3—

Effects of weight loss in obese women

Baseline12 monthsP
BMI (kg/m237.6 ± 2.1 32.5 ± 1.5 <0.001 
WHR 0.84 ± 0.07 0.78 ± 0.04 <0.001 
Fasting glucose (mmol/l) 5.5 ± 0.5 5.1 ± 0.4 <0.05 
Fasting insulin (μU/ml) 16.5 ± 3.2 10.8 ± 34.3 <0.03 
HOMA 3.6 ± 0.4 2.2 ± 0.3 <0.05 
TNF-α (pg/ml) 5.8 ± 1.5 4.0 ± 1.1 <0.01 
IL-6 (pg/ml) 4.2 ± 0.9 1.6 ± 0.3 <0.01 
IL-18 (pg/ml) 227.5 ± 27.4 159.4 ± 26.5 <0.01 
CRP (mg/l) 3.4 ± 0.7 1.9 ± 0.2 <0.02 
LVM/BSA (g/m294.1 ± 11 76.3 ± 11 <0.05 
LVM/h2 (g/m263.4 ± 8 51.5 ± 6 <0.05 
Fractional shortening (%) 31 ± 3 35 ± 6 NS 
LVIDD (mm) 51.7 ± 5.1 48.2 ± 3.8 NS 
IVS (mm) 10.9 ± 1.6 10.1 ± 1.2 NS 
LVPW (mm) 10.1 ± 1.3 9.8 ± 1.4 NS 
Mitral deceleration (ms) 156 ± 13 174 ± 12 <0.001 
E/A ratio 0.9 ± 0.2 1.3 ± 0.3 <0.05 
MPI 0.57 ± 0.08 0.41 ± 0.06 <0.001 
PVFs/PVFd ratio 1.41 ± 0.08 1.53 ± 0.08 <0.001 
RV-RTm (ms) 42.4 ± 5 20.3 ± 6 <0.005 
Ejection fraction (%) 50 ± 7 60 ± 6 <0.05 
Baseline12 monthsP
BMI (kg/m237.6 ± 2.1 32.5 ± 1.5 <0.001 
WHR 0.84 ± 0.07 0.78 ± 0.04 <0.001 
Fasting glucose (mmol/l) 5.5 ± 0.5 5.1 ± 0.4 <0.05 
Fasting insulin (μU/ml) 16.5 ± 3.2 10.8 ± 34.3 <0.03 
HOMA 3.6 ± 0.4 2.2 ± 0.3 <0.05 
TNF-α (pg/ml) 5.8 ± 1.5 4.0 ± 1.1 <0.01 
IL-6 (pg/ml) 4.2 ± 0.9 1.6 ± 0.3 <0.01 
IL-18 (pg/ml) 227.5 ± 27.4 159.4 ± 26.5 <0.01 
CRP (mg/l) 3.4 ± 0.7 1.9 ± 0.2 <0.02 
LVM/BSA (g/m294.1 ± 11 76.3 ± 11 <0.05 
LVM/h2 (g/m263.4 ± 8 51.5 ± 6 <0.05 
Fractional shortening (%) 31 ± 3 35 ± 6 NS 
LVIDD (mm) 51.7 ± 5.1 48.2 ± 3.8 NS 
IVS (mm) 10.9 ± 1.6 10.1 ± 1.2 NS 
LVPW (mm) 10.1 ± 1.3 9.8 ± 1.4 NS 
Mitral deceleration (ms) 156 ± 13 174 ± 12 <0.001 
E/A ratio 0.9 ± 0.2 1.3 ± 0.3 <0.05 
MPI 0.57 ± 0.08 0.41 ± 0.06 <0.001 
PVFs/PVFd ratio 1.41 ± 0.08 1.53 ± 0.08 <0.001 
RV-RTm (ms) 42.4 ± 5 20.3 ± 6 <0.005 
Ejection fraction (%) 50 ± 7 60 ± 6 <0.05 

Data are group means ± SD. IVS, intraventricular septum; LVM/BSA, left ventricular mass index/body surface area; LVM/h2, left ventricular mass index/height squared; LVIDD, left ventricular internal diastolic diameter; LVPW, left ventricular posterior wall.

Table 4—

Relationships of reduction of anthropometric measures and reduction of proinflammatory cytokines with echocardiographic parameters after weight loss in obese women

BMIWHRTNF-αIL-6IL-18CRP
TNF-α* 0.20 0.31 — 0.08 0.11 0.10 
IL-6* 0.32 0.41§ 0.08 — 0.22 0.10 
IL-18* 0.21 0.45§ 0.11 0.22 — 0.12 
CRP* 0.27 0.35 0.10 0.10 0.12 — 
HOMA 0.30 0.53§ 0.19 0.19 0.24 0.18 
Ejection fraction −0.21 −0.33 −0.18 −0.31 −0.15 −0.24 
E/A ratio −0.19 −0.32 −0.32 −0.32 −0.10 −0.22 
MPI 0.27 0.35 0.45§ 0.21 0.12 0.39 
PVFs/PVFd ratio −0.22 −0.41§ −0.27 −0.31 −0.16 −0.20 
RV-RTm 0.21 0.45§ 0.19 0.32 0.08 0.19 
BMIWHRTNF-αIL-6IL-18CRP
TNF-α* 0.20 0.31 — 0.08 0.11 0.10 
IL-6* 0.32 0.41§ 0.08 — 0.22 0.10 
IL-18* 0.21 0.45§ 0.11 0.22 — 0.12 
CRP* 0.27 0.35 0.10 0.10 0.12 — 
HOMA 0.30 0.53§ 0.19 0.19 0.24 0.18 
Ejection fraction −0.21 −0.33 −0.18 −0.31 −0.15 −0.24 
E/A ratio −0.19 −0.32 −0.32 −0.32 −0.10 −0.22 
MPI 0.27 0.35 0.45§ 0.21 0.12 0.39 
PVFs/PVFd ratio −0.22 −0.41§ −0.27 −0.31 −0.16 −0.20 
RV-RTm 0.21 0.45§ 0.19 0.32 0.08 0.19 
*

Log transformed;

P < 0.05;

P < 0.02;

§

P < 0.01.

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A table elsewhere in this issue shows conventional and Système International (SI) units and conversion factors for many substances.