Association of plasma angiotensin-(1-7) level and left ventricular function in patients with type 2 diabetes mellitus.

BACKGROUND: We recently found that overexpression of angiotensin (Ang)-converting enzyme 2, which metabolizes Ang-II to Ang-(1-7) and Ang-I to Ang-(1-9), may prevent diabetes-induced left ventricular remodeling and dysfunction in rats. Our objective was to evaluate the association of plasma Ang-(1-7) level and left ventricular function in patients with type 2 diabetes mellitus. METHODOLOGY/PRINCIPAL
FINDINGS: We measured the left ventricular ejection fraction (EF), ratio of early to late left ventricular filling velocity (E/A) and ratio of early diastolic mitral inflow to annular velocity (E/Ea) by ultrasonography in 110 patients with type 2 diabetes mellitus for more than 5 years. Anthropometric and fasting blood values were obtained from medical records. The plasma Ang-(1-7) level in patients with a poor EF (<50%) was significantly lower than that in patients with EF ≥50%; the level in patients with E/A <1 was significantly lower than that in patients with E/A ≥1; and the level in patients with E/Ea >15 was significantly lower than that in patients with E/Ea ≤15. Ang-(1-7) level was negatively correlated with E/Ea and Log-N-terminal pro-B-type natriuretic peptide and positively with EF and E/A. Stepwise multiple regression analysis revealed that Ang-(1-7), hemoglobin A1c and Ang-II levels as well as duration of diabetes predicted EF; Ang-(1-7) level, fasting blood glucose, low-density lipoprotein cholesterol level and duration of diabetes predicted E/A; and Ang-(1-7) and hemoglobin A1c levels predicted E/Ea.
CONCLUSIONS/SIGNIFICANCE: Plasma Ang-(1-7) level is independently associated with left ventricular function in patients with type 2 diabetes mellitus and may be a biomarker for assessing cardiac function in such patients.

Introduction

The incidence of type 2 diabetes mellitus has been increasing worldwide and rapidly assuming epidemic proportions over the last several decades. A number of epidemiological, clinical and autopsy studies have proposed that the development of heart failure due to an ill-defined cardiomyopathy is a distinct clinical entity among diabetic patients, even in the absence of hypertension and coronary artery disease [1]–[4]. Evidence for the occurrence of diabetic cardiomyopathy has been demonstrated in the form of both diastolic and systolic dysfunction and structural abnormalities. Even in asymptomatic diabetic patients, diastolic dysfunction may be common [1]–[4].

An early phase in the development of heart failure is cardiac remodeling, which is thought to be an important aspect of disease progression in heart failure, regardless of cause. Cardiac remodeling is manifested clinically by changes in cardiac size, shape, and function in response to cardiac injury or inflammation [5]. The mechanisms leading to diabetes-induced cardiac remodeling and dysfunction are not completely understood but are thought to arise from a common upstream pathway involving the renin–angiotensin (Ang) system (RAS). The role of this system in cardiac remodeling is exemplified by Ang-converting enzyme (ACE) inhibitors and Ang-II type 1 receptor (AT1) blockers, which improve survival in patients with heart failure, slowing down and in some cases even reversing the deregulation of certain variables of cardiac remodeling [6]. Many other mechanisms, such as microvascular disease, autonomic dysfunction, metabolic disorders, and interstitial fibrosis, may cause diabetic cardiomyopathy [7]. However, the exact etio-pathogenesis still remains unclear.

Ang-(1–7) is formed in the heart from Ang-I or -II by several endopeptidases and carboxypeptidases, including ACE2. Recently, we and others reported that both ACE2 and Ang-(1–7) had cardioprotective effects in experimental animals as well as in cultured cardiac fibroblasts and myocytes [8]–[13]. And we further found that plasma Ang-(1–7) level was independently associated with ameliorating cardiac damage and function after reperfusion therapy in patients with acute myocardial infarction [14]. However, the relation between plasma Ang-(1–7) level and cardiac remodeling and function in diabetic patients is not clear.

In this study we aimed to quantify the association of various clinical and other characteristics with left ventricular (LV) dysfunction in patients with type 2 diabetes mellitus.

Methods

Ethics Statement

The protocol was approved by the ethics committee of Qilu Hospital of Shandong University, and all patients gave their written informed consent to participate.

Study Subjects

This study was conducted at Qilu Hospital of Shandong University, Jinan, China. Between February and September 2012, we included 110 consecutive normotensive patients with type 2 diabetes mellitus for more than 5 years with no clinical evidence of cardiac disease. Diabetes was defined by fasting blood glucose (FBG) ≥7 mmol/l or use of glucose-lowering drugs. We excluded patients with evidence of coronary artery disease (history of angina, chest pain, electrocardiography changes and abnormal Treadmill test results); hypertension; valvular disease; end-stage hepatic or renal disease or malignancy; and poor transthoracic echo window.

Anthropometric and Fasting Blood Variables

Values for anthropometric and fasting blood variables were obtained retrospectively from medical charts. Trained research staff measured height, weight and blood pressure. Blood pressure was based on the average of the last 3 of 7 measurements after patients rested for a few minutes in a sitting position. After a 12-hour fast, a venous blood sample was collected and sent to the biochemistry laboratory for estimating glycated hemoglobin A1c level, FBG, and serum lipid profile, including serum levels of triglyceride (TG), total serum cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C) and N-terminal pro-B-type natriuretic peptide (NT-proBNP).

Blood was obtained in a cocktail of protease inhibitors and plasma Ang-(1–7) and Ang-II levels were determined by use of 2 commercial ELISA kits (Uscnlife, Wuhan, China) of all samples in duplicate.

Echocardiography

Included patients underwent resting transthoracic 2D echocardiography to assess LV systolic and diastolic function by use of Philips iE33 ultrasound system (Philips Ultrasound, Bothell, WA) according to the standard protocol. M-mode images were obtained for measuring LV end-systolic volume (LVESV) and LV end-diastolic volume (LVEDV) according to American Society of Echocardiography guidelines [15]. As a measure of systolic function, LV ejection fraction (EF) was calculated as EF (%) = (LVEDV – LVESV)/LVEDV × 100, with EF ≥50% considered normal. Diastolic function was assessed by pulsed-wave Doppler imaging of the transmitral filling pattern with the early transmitral filling wave (E-wave) followed by the late filling wave due to atrial contraction (A-wave). For tissue Doppler imaging, early diastolic peak annular velocity (Ea) was obtained with a 2-mm sample volume placed at the lateral side and septal side of the mitral valve annulus. LV diastolic dysfunction was considered present with E/A ratio <1 or >2 or E/Ea ratio >15 as described [16]. All echocardiographic measurements were averaged over 3 consecutive cardiac cycles by an experienced technician who was blinded to study group.

Statistical Analysis

All continuous variables are expressed as mean ± SEM or median [interquartile range] unless otherwise stated. Data were analyzed by use of SPSS v19 (SPSS Inc., Chicago, IL). We compared characteristics of patients with EF <50% and ≥50%. Patients were also classified by thresholds of E/A and E/Ea. After testing for normality and equality of variance, continuous variables were compared by unpaired t test, Welch’s test or Mann-Whitney U test. To test our hypothesis that Ang-(1–7) level was associated with LV function, we first investigated potential determinants of LV function by univariate analysis with Pearson’s or Spearman’s rank correlation coefficient following testing for normality, then identified variables that predicting cardiac variables by stepwise multiple regression analysis. Variables associated with cardiac variables at p<0.10 were entered in multivariate analyses, and when 2 independent variables showed strong collinearity (γ >0.70), one was selected. Interactions between any 2 sets of the variables remaining in the stepwise models were assessed by centered cross terms. A 2-sided p<0.05 was considered statistically significant for the final models.

Results

Characteristics of Study Subjects

The characteristics of the 110 patients by EFsystolic dysfunction (EF <50%). Diabetes duration, Ang-II level, E/Ea and NT-proBNP were significantly greater and Ang-(1–7) level and E/A were lower for patients with than without systolic dysfunction. Characteristics of the 2 groups by E/A threshold are in Table 2 and those by E/Ea threshold are in Table 3. Diabetes duration and hemoglobin A1c level were greater, Ang-(1–7) level was lower, and FBG was greater but not significantly in patients with E/A <1 than ≥1. Diabetes duration, hemoglobin A1c level, FBG and Ang-II level were greater and Ang-(1–7) level was lower for patients with E/Ea >15 than ≤15.

Table 1

Characteristics of patients by ejection fraction (EF).

	EF <50%	EF ≥50%	p-value
No. of subjects, n (%)	28 (25.5)	82 (74.6)
Age, yr	65.71±2.03	66.29±0.79	0.7918b
Duration of DM, yr	17.75±0.70	12.50±0.43	<0.0001
BMI, kg/m2	23.58±0.82	23.93±0.32	0.6971b
SBP, mmHg	113.2±2.7	119.0 [106.0–132.0]	0.1841a
HbA1c, %	7.16±0.10	6.95 [6.70–7.20]	0.2054a
FBG, mmol/l	10.69±0.52	9.50 [8.30–11.73]	0.4903a
TG, mg/dl	1.85±0.15	1.60 [1.19–2.27]	0.6261a
TC, mg/dl	4.63±0.20	4.71±0.11	0.7372
HDL-C, mg/dl	1.14±0.05	1.14 [0.98–1.29]	0.8155a
LDL-C, mg/dl	2.76±0.21	2.84±0.09	0.6903
Ang-(1–7), pg/ml	17.00 [14.10–20.35]	19.77±0.43	0.0059 a
Ang-II, pg/ml	22.61±0.46	21.38±0.28	0.0259
E/A	1.02±0.03	1.21±0.02	<0.0001 b
E/Ea	17.54±0.49	14.12±0.44	<0.0001 b
NT-proBNP, pg/ml	847.5 [643.3–1281]	235.0 [111.3–466.3]	<0.0001 a

Data are number (%), mean±SEM or median [interquartile range].

Mann-Whitney U test.

Welch’s test.

DM, diabetes mellitus; BMI, body mass index; SBP, systolic blood pressure; HbA1c, hemoglobin A1c; FBG, fasting blood glucose; TG, triglycerides; TC, total cholesterol; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; E/A, ratio of early to late left ventricular filling velocity; E/Ea, ratio of early diastolic mitral inflow to annular velocity; NT-proBNP, N-terminal pro-B-type natriuretic peptide.

Table 2

Characteristics of patients by ratio of early to late left ventricular filling velocity (E/A).

	E/A <1	E/A ≥1	p-value
No. of subjects, n (%)	32 (29.1)	78 (70.9)
Age, yr	65.94±1.59	66.23±0.89	0.8651
Duration of DM, yr	14.84±0.65	12.05±0.44	0.0007
BMI, kg/m2	23.30±0.51	24.06±0.39	0.2716
SBP, mmHg	115.1±2.6	117.1±1.6	0.4964
HbA1c, %	7.29±0.09	6.90 [6.68–7.20]	0.0023 a
FBG, mmol/l	11.19±0.52	9.40 [8.40–11.50]	0.0663a
TG, mg/dl	1.52 [1.19–2.10]	1.66 [1.19–2.46]	0.5736a
TC, mg/dl	4.70 [3.79–5.35]	4.69±0.12	0.8875a
HDL-C, mg/dl	1.11±0.03	1.14 [0.96–1.34]	0.4590a
LDL-C, mg/dl	2.92±0.13	2.78±0.11	0.4677
Ang-(1–7), pg/ml	16.19±0.49	20.48±0.43	<0.0001
Ang-II, pg/ml	22.07±0.38	21.54±0.30	0.2822b
EF, %	51.91±2.19	59.71±1.23	0.0014
E/Ea	17.80±0.42	13.84±0.44	<0.0001 b
NT-proBNP, pg/ml	565.5 [353.8–850.3]	269.0 [116.5–643.3]	0.0016 a

Data are number (%), mean±SEM or median [interquartile range].

Mann-Whitney U test.

Welch’s test.

DM, diabetes mellitus; BMI, body mass index; SBP, systolic blood pressure; HbA1c, hemoglobin A1c; FBG, fasting blood glucose; TG, triglycerides; TC, total cholesterol; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; EF, ejection fraction; E/Ea, ratio of early diastolic mitral inflow to annular velocity; NT-proBNP, N-terminal pro-B-type natriuretic peptide.

Table 3

Characteristics of patients by ratio of early diastolic mitral inflow to annular velocity (E/Ea).

	E/Ea >15	E/Ea ≤15	p-value
No. of subjects, n (%)	54 (49.1)	56 (50.9)
Age, yr	65.59±1.19	66.68±1.01	0.4881
Duration of DM, yr	13.72±0.52	12.04±0.54	0.0269
BMI, kg/m2	23.74±0.48	23.94±0.41	0.7521
SBP, mmHg	115.9±1.96	117.5 [106.0–130.5]	0.6667a
HbA1c, %	7.20±0.07	6.85 [6.63–7.10]	0.0037 a
FBG, mmol/l	10.89±0.36	9.30 [8.33–11.28]	0.0366 a
TG, mg/dl	1.58 [1.05–2.08]	1.79 [1.24–2.60]	0.1288a
TC, mg/dl	4.69 [3.82–5.36]	4.68±0.15	0.9905a
HDL-C, mg/dl	1.16±0.03	1.14 [0.90–1.32]	0.6952a
LDL-C, mg/dl	2.92±0.11	2.72±0.13	0.2621
Ang-(1–7), pg/ml	17.96±0.49	20.46±0.54	0.0009
Ang-II, pg/ml	22.36 [21.34–23.89]	20.44 [19.25–23.27]	0.0199 a
EF, %	52.70±1.51	62.50 [53.00–71.00]	<0.0001 a
E/A	0.99 [0.91–1.17]	1.28±0.02	<0.0001 a
NT-proBNP, pg/ml	535.0 [264.0–791.8]	226.0 [95.5–568.0]	0.0006 a

Data are number (%), mean±SEM or median [interquartile range].

Mann-Whitney U test.

DM, diabetes mellitus; BMI, body mass index; SBP, systolic blood pressure; HbA1c, hemoglobin A1c; FBG, fasting blood glucose; TG, triglycerides; TC, total cholesterol; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; EF, ejection fraction; E/A, ratio of early to late left ventricular filling velocity; NT-proBNP, N-terminal pro-B-type natriuretic peptide.

Variables Correlated with and Predictors of Cardiac Variables

Diabetes duration, hemoglobin A1c level, FBG and Ang-II level showed a negative correlation (Table 4) and Ang-(1–7) level a positive correlation (Figures 1 and 2) with EF and E/A. LDL-C level showed a negative but non-significant correlation with E/A. Ang-(1–7) level showed a negative correlation (Figures 3 and 4) and diabetes duration, hemoglobin A1c level, FBG and Ang-II level a positive correlation with E/Ea and Log-NT-proBNP. LDL-C showed a positive but non-significant correlation with Log-NT-proBNP.

Table 4

Correlation of variables with cardiac function.

	EF	E/A	E/Ea	Log-NT-proBNP
Age	0.038	0.003	−0.083	−0.093
Duration of DM	−0.326**	−0.389***	0.212*	0.233*
BMI	−0.050	0.050	0.056	0.053
SBP	0.083	0.026	−0.106	−0.075
HbA1ca	−0.337***	−0.277**	0.261**	0.203*
FBGa	−0.222*	−0.225*	0.211*	0.197*
TGa	−0.070	0.014	−0.141	0.089
TC	−0.072	−0.104	0.061	0.138
HDL-Ca	0.133	0.060	0.084	−0.091
LDL-C	−0.112	−0.176†	0.146	0.159†
Ang-(1–7)	0.342***	0.435***	−0.288**	−0.199*
Ang-II	−0.285**	−0.199*	0.194*	0.300**

Spearman’s rank correlation coefficients (ρ); others are Pearson’s correlation coefficients (γ).

p<0.05,

p<0.01,

p<0.001 and † p<0.1.

EF, ejection fraction; E/A, ratio of early to late left ventricular filling velocity; E/Ea, ratio of early diastolic mitral inflow to annular velocity; NT-proBNP, N-terminal pro-B-type natriuretic peptide; DM, diabetes mellitus; BMI, body mass index; SBP, systolic blood pressure; HbA1c, hemoglobin A1c; FBG, fasting blood glucose; TG, triglycerides; TC, total cholesterol; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol.

Figure 1

Positive association of plasma Ang-(1–7) level and EF in diabetic patients.

EF, ejection fraction; γ, Pearson’s correlation coefficient.

Figure 2

Positive association of plasma Ang-(1–7) level and E/A in diabetic patients.

E/A, ratio of early to late LV filling velocity; γ, Pearson’s correlation coefficient.

Figure 3

Negative association of plasma Ang-(1–7) level and E/Ea in diabetic patients.

E/Ea, ratio of early diastolic mitral inflow to annular velocity; γ, Pearson’s correlation coefficient.

Figure 4

Negative association of plasma Ang-(1–7) level and Log-NT-proBNP in diabetic patients.

NT-proBNP, N-terminal pro-B-type natriuretic peptide; γ, Pearson’s correlation coefficient.

All these variables but FBG, which showed strong collinearity with hemoglobin A1c level, were entered into stepwise multiple regression analysis for predicting the cardiac variables. Diabetes duration (β = –0.244, p = 0.004) and levels of hemoglobin A1c (β = –0.223, p = 0.009), Ang-(1–7) (β = 0.262, p = 0.002) and Ang-II (β = –0.212, p = 0.012) were independent predictors of EF (Table 5A). Diabetes duration (β = –0.324, p<0.001), hemoglobin A1c level (β = –0.211, p = 0.010) and Ang-(1–7) level (β = 0.365, p<0.001) predicted E/A. Levels of hemoglobin A1c (β = 0.213, p = 0.022) and Ang-(1–7) (β = –0.249, p = 0.008) predicted E/Ea. Finally, diabetes duration (β = 0.199, p = 0.030) and Ang-II level (β = 0.276, p = 0.003) predicted Log-NT-proBNP. Analysis with FBG instead of hemoglobin A1c level shown as model 2 (Table 5B) revealed that diabetes duration, FBG, and LDL-C and Ang-(1–7) levels were predictors of E/A, with a higher coefficient of determination than in model 1. There was no significant interaction between any of 2 sets of the variables in each stepwise model.

Table 5

Stepwise linear regression model to predict cardiac function.

(A) Model 1
	β	p-value	R2	Adjusted R2
EF
Duration of DM	−0.244	0.004	0.305	0.279
HbA1c level	−0.223	0.009
Ang-(1–7) level	0.262	0.002
Ang-II level	−0.212	0.012
E/A
Duration of DM	−0.324	<0.001	0.353	0.335
HbA1c level	−0.211	0.010
Ang-(1–7) level	0.365	<0.001
E/Ea
HbA1c level	0.213	0.022	0.127	0.111
Ang-(1–7) level	−0.249	0.008
Log-NT-proBNP
Duration of DM	0.199	0.030	0.129	0.113
Ang-II level	0.276	0.003
(B) Model 2
	β	p -value	R2	Adjusted R2
EF
Duration of DM	−0.268	0.002	0.259	0.238
Ang-(1–7) level	0.299	0.001
Ang-II level	−0.239	0.006
E/A
Duration of DM	−0.341	<0.001	0.368	0.344
FBG	−0.186	0.020
LDL-C level	−0.155	0.048
Ang-(1–7) level	0.363	<0.001
E/Ea
Duration of DM	0.185	0.045	0.117	0.101
Ang-(1–7) level	−0.270	0.004

β, standardized regression coefficient; R, coefficient of determination; EF, ejection fraction; DM, diabetes mellitus; HbA1c, hemoglobin A1c; E/A, ratio of early to late left ventricular filling velocity; E/Ea, ratio of early diastolic mitral inflow to annular velocity; NT-proBNP, N-terminal pro-B-type natriuretic peptide; FBG, fasting blood glucose; LDL-C, low-density lipoprotein cholesterol.

Discussion

Our results reveal a high burden of LV systolic and diastolic dysfunction in patients with type 2 diabetes mellitus and show that plasma Ang-(1–7) level was negatively and significantly associated with E/Ea and Log-NT-proBNP and positively with EF and E/A in diabetic patients. Ang-(1–7) may be a protective mediator and may indicate cardiac remodeling and function in diabetic subjects.

RAS has been suggested to participate in the pathogenesis of diabetic cardiomyopathy. Angiotensinogen, renin, Ang-I and Ang-II are important in diabetic cardiomyopathy. We found high Ang-II level negatively correlated with LV function, as was previously reported [17]. Ang-II is one of the main mediators of diabetes-induced cardiac remodeling that antedates heart failure [18]. Activation of the transforming growth factor β (TGF-β)/Smad pathway may be a sign of high glucose/Ang-II–mediated signaling in the myocardium. Induction of TGF-β1 by high glucose or Ang-II, which then phosphorylates and activates downstream Smad2 and Smad3 proteins, results in cardiac fibrosis, cardiac hypertrophy and heart failure; however, Smad7 can antagonize TGF-β–mediated cardiac remodeling [18]. In addition, mitogen-activated protein kinase (MAPK) signaling is implicated in cardiac diseases and is preferentially activated by high glucose or Ang-II level, thus leading to cardiac fibrosis and dysfunction [19].

ACE inhibitors and AT1 blockers are effective in reducing Ang-II–mediated inflammation and end-organ damage in animals with diabetes. During ACE inhibition or AT1 blockade, ACE2 activity and mRNA level are elevated in plasma and the left ventricle [20]. We recently reported that ACE2 ameliorated LV remodeling and function in a rat model of diabetic cardiomyopathy, accompanied by downregulated Ang-II and TGF-β1 levels and upregulated Ang-(1–7) expression [8]. The benefits of ACE inhibitors, AT1 blockers and ACE2 appear to be mediated in part through Ang-(1–7). Despite lack of evidence supporting the ability of Ang-(1–7) to reduce Ang-II level, Ang-(1–7), which can be generated locally in the myocardium and bind to a distinct plasma membrane G protein-coupled receptor, the Mas receptor, can oppose the effects of Ang-II and has therapeutic effects similar to those of ACE2 on cardiac remodeling in diabetic and other models [10], [12], [21], [22]. Yousif and colleagues recently showed that inhibition of endogenous Ang-(1–7) formation exacerbated diabetes-induced cardiac/renal nitric oxidase activity and end-organ damage [22].

Although we have not established a direct causal link among events, our results show that low endogenous Ang-(1–7) level predicts worse cardiac function in diabetic patients, as indicated by low EF and E/A and high E/Ea and Log-NT-proBNP. Consistent with this result, downregulation of ACE2 was previously found in the late phase of ventricular dysfunction in rats with myocardial infarction [20]. However, in contrast with our results, 2 clinical studies reported that elevated plasma ACE2 activity as a compensatory response was associated with increased severity of myocardial dysfunction and was an independent predictor of adverse clinical events [23], [24]. The reasons for these differences in action between ACE2 and Ang-(1–7) are unclear but could involve elevated ACE activity and ACE/ACE2 ratio in diabetic patients, which accelerates Ang-(1–7) degradation into the inactive fragment Ang-(1–5) [25].

We recently found that plasma Ang-(1–7) levels could predict myocardial salvage after reperfusion treatment for acute myocardial infarction and might indicate long-term myocardial remodeling after acute myocardial infarction [14]. Therefore, it may be not only a biomarker for cardiac function but also a predictor for long-term myocardial remodeling under disease conditions. However, our data showed that plasma Ang-(1–7) level was very low in diabetic patients, especially with cardiac dysfunction, which might be a potential limitation of using Ang-(1–7) as indicative of cardiac function or long-term myocardial remodeling. In animal experiments, the actions of Ang-(1–7) appear to be independent of any blood pressure, FBG or Ang-II lowering effect. Consistent with previous findings, our data indicate that Ang-(1–7) level is not associated with blood pressure, hemoglobin A1c level, FBG, serum lipid profile or even Ang-II level (data not shown). The mechanisms involved in Ang-(1–7)–mediated cardiovascular protection are not well characterized, although the beneficial effects have been reported to be mediated by prostaglandin and nitric oxide [22] and may be related to concerted changes in levels of matrix metalloproteinases and tissue inhibitors of metalloproteinases [10].

ACE2/Ang-(1–7) also have protective effects in the progression of atherosclerosis. We previously reported that ACE2 inhibited and stabilized atherosclerotic plaque via the conversion of Ang-II to vasoprotective Ang-(1–7) [26], [27]. Tesanovic and colleagues recently demonstrated that Ang-(1–7) has both vasoprotection and atheroprotection effects, which may be mediated by the restoration of nitric oxide bioavailability and may involve a complex interaction of both Mas and AT2 receptors [28].

Clinical, epidemiological and experimental evidence suggests a ‘female advantage’ in the progression of cardiovascular diseases [29]. However, this ‘gender bias’ may be cancelled by the onset of diabetes in premenopausal women [30]. It is speculated that gender-related differences in sex hormones and intrinsic myocardial and endothelial functions between genders may be responsible for this female “advantage” and “disadvantage” in normal and diabetic conditions. Moreover, recent evidence has suggested that discrepant myocardial Akt activation status may contribute to gender-related differences in myocardial function [31].

There were 2 major limitations in this study. First, it was only a small cross-sectional study and our primary conclusion needs confirmation by additional studies with a large sample size and a prospective design. Second, although the association of plasma Ang-(1–7) level and left ventricular function in patients with type 2 diabetes mellitus was evaluated and confirmed, the differences in Ang-(1–7) levels between subjects with and without diabetes were unclear because normal subjects without diabetes were not enrolled.

In summary, we showed that Ang-(1–7) level could be a biomarker for assessing LV function in diabetic patients because plasma Ang-(1–7) level was independently and negatively correlated with LV remodeling and dysfunction in our diabetic patients. Whether the association of Ang-(1–7) and LV function is attributed to the inhibitory effect of Ang-(1–7) on diabetic myocardial remodeling merits future study. To increase the sample power and verify our results, additional studies with a prospective design and larger cohorts are warranted.