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. 2019 Jul 29;35(2):153–161. doi: 10.1007/s00380-019-01478-y

Relationship between circulating levels of angiotensin-converting enzyme 2-angiotensin-(1–7)-MAS axis and coronary heart disease

Xiaomin Zhou 1,2, Ping Zhang 1,2, Tao Liang 1, Yongyue Chen 1,3, Dan Liu 1,4, Huimin Yu 1,2,5,✉
PMCID: PMC7100072  PMID: 31359146

Abstract

As a counter-regulatory arm of the renin angiotensin system (RAS), the angiotensin-converting enzyme 2-angiotensin-(1–7)-MAS axis (ACE2-Ang-(1–7)-MAS axis) plays a protective role in cardiovascular diseases. However, the link between circulating levels of ACE2-Ang-(1–7)-Mas axis and coronary atherosclerosis in humans is not determined. The object of present study was to investigate the association of circulating levels of ACE2, Ang-(1–7) and Ang-(1–9) with coronary heart disease (CHD) defined by coronary angiography (CAG). 275 patients who were referred to CAG for the evaluation of suspected CHD were enrolled and divided into two groups: CHD group (diameter narrowing ≥ 50%, n = 218) and non-CHD group (diameter narrowing < 50%, n = 57). Circulating ACE2, Ang-(1–7) and Ang-(1–9) levels were detected by enzyme-linked immunosorbent assay (ELISA). In females, circulating ACE2 levels were higher in the CHD group than in the non-CHD group (5617.16 ± 5206.67 vs. 3124.06 ± 3005.36 pg/ml, P = 0.009), and subgroup analysis showed the significant differences in ACE2 levels between the two groups only exist in patients with multi-vessel lesions (P = 0.009). In multivariate logistic regression, compared with the people in the lowest ACE2 quartile, those in the highest quartile had an OR of 4.33 (95% CI 1.20–15.61) for the CHD (P for trend = 0.025), the OR was 5.94 (95% CI 1.08–32.51) for the third ACE2 quartile and 9.58 (95% CI 1.61–56.95) for the highest ACE2 quartile after adjusting for potential confounders (P for trend = 0.022). However, circulating Ang-(1–7) and Ang-(1–9) levels had no significant differences between the two groups. In males, there were no significant differences in the levels of ACE2-Ang-(1–7)-MAS axis between two groups. Together, circulating ACE2 levels, but not Ang-(1–7) and Ang-(1–9) levels, significantly increased in female CHD group when compared with non-CHD group, increased ACE2 was independently associated with CHD in female and in patients with multi-vessel lesions even after adjusting for the confounding factors, indicating that ACE2 may participate as a compensatory mechanism in CHD.

Electronic supplementary material

The online version of this article (10.1007/s00380-019-01478-y) contains supplementary material, which is available to authorized users.

Keywords: Coronary heart disease, Angiotensin-converting enzyme 2, Angiotensin-(1–7), Angiotensin-(1–9), Renin angiotensin system

Introduction

Dysregulation of the renin angiotensin system (RAS) is considered a major factor in the development of cardiovascular pathologies [1]. Within the RAS, the angiotensin-converting enzyme (ACE) converts angiotensin (Ang) I to the vasoconstrictor Ang II [2], which regulates salt/water homeostasis and vasoconstriction, modulates blood pressure, is also implicated in inflammation, endothelial dysfunction, and oxidative stress [3]. A counter-regulatory arm of the RAS is now known to exist. ACE2 is a novel ACE homolog that binds to the Mas receptor (MasR) and metabolizes Ang I and Ang II into the inactive Ang-(1–9) as well as into the Ang-(1–7), in addition, Ang-(1–7) can be also directly generated from Ang-(1–9) through cleavage of ACE [4–6]. The generated Ang-(1–7) exerts a variety of cardioprotective effects, many of which are opposite to those attributed to Ang II [7, 8].

ACE2 is widely distributed [9], and is expressed in abundance in the heart, blood vessels, and kidney [2], where it exerts important actions in cardiac function and blood pressure. Ang-(1–7) is mainly formed by the ACE2, it opposes many Ang II–stimulated actions. Ang-(1–9) has also shown beneficial biological effects via Ang II type 2 receptors (AT2R) that result in cardioprotection [10, 11]. Several lines of evidence have showed the role of ACE2-Ang-(1–7)-Mas axis in atherosclerosis. ACE2 protein is expressed in endothelial cells, smooth muscle cells and macrophages in aortic and coronary atherosclerotic lesions [12, 13]. ACE2 overexpression significantly inhibits early atherosclerotic lesions development both in human endothelial cells in vitro and in apoE-deficient mice in vivo [14]. A similar anti-atherosclerotic effect of ACE2 was seen in a rabbit atherosclerosis model [15]. In addition, ACE2 overexpression attenuated the progression of lesions and stabilized atherosclerotic plaques in rabbits, which were formed by endothelial injury and atherogenic diet [16]. Conversely, genetic ACE2 deficiency significantly increased accumulation of atherosclerotic plaque via upregulation of putative mediators of atherogenesis and enhancing responsiveness to proinflammatory stimuli [17]. A differential regulation of ACE2 activity during the progression of atherosclerosis has been reported that enzymatic activity of ACE2 was lower in the stable advanced atherosclerotic lesions, compared to early and ruptured atherosclerotic lesions [12]. Similar to ACE2, the atheroprotection of Ang-(1–7) has been shown in many previous studies. The levels of Ang-(1–7) were elevated in late atherosclerotic plaques in ApoE-knockout mice, and the endogenous activated Ang-(1–7) played a protective effect against atherosclerotic plaques instability [18]. Long-term Ang-(1–7) treatment caused a reduction in lesion progression in a mouse model of atherosclerosis and improvement in endothelial function [19]. Moreover, Ang-(1–7) dose dependently inhibited early atherosclerotic lesions via suppressing vascular smooth muscle cells proliferation and migration, and a large dose of Ang-(1–7) enhanced plaque stability via inhibiting plaque inflammation [20].

As is mentioned above, the role of ACE2-Ang-(1–7)-Mas axis in the pathogenesis of atherosclerosis has been investigated with use of various animal models, but most of the studies have focused on ACE2, not much is known regarding the role of Ang-(1–7) and Ang-(1–9) in coronary atherosclerosis, there have been no clinical studies to confirm the link between circulating levels of ACE2-Ang-(1–7)-Mas axis and coronary atherosclerosis in humans. Thus, the aim of the present study was to examine the association between circulating levels of ACE2, Ang-(1–7) and Ang-(1–9) and coronary heart disease (CHD) defined by coronary angiography (CAG).

Materials and methods

Study population

275 consecutive patients who underwent CAG for the evaluation of suspected CHD in the Cardiology Department of Guangdong Provincial People’s Hospital were enrolled in the present study. CHD was defined as significant coronary stenosis ( ≥ 50%) in at least one major coronary artery following the World Health Organization (WHO) criteria, it was assessed using CAG or if a subject showed prior percutaneous or surgical coronary revascularization. According to this, all subjects were divided into two groups: CHD group (diameter narrowing ≥ 50%, n = 218) and non-CHD group (diameter narrowing < 50%, n = 57). Major exclusion criteria included: congestive heart failure; clinically important cardiac arrhythmia; valvular heart disease; ongoing systemic inflammatory diseases; renal or hepatic dysfunction; malignant disease; the use of drugs that may influence RAS hormone levels, such as direct renin inhibitors (DRIs), ACE inhibitors (ACEIs), Ang II receptor blockers (ARBs), or aldosterone antagonists (AAs); pregnancy or lactation in women; patient’s unwillingness to participate in the survey.

Angiographic analysis

All patients underwent CAG via femoral or radial artery with a standard method, and the angiograms were evaluated by two experienced cardiologists who were blinded to all other data. The severity of CHD was assessed by the number of stenotic coronary vessels. Single-vessel disease was defined as a ≥ 50% stenosis in only one major epicardial artery or an important branch of a major epicardial coronary artery. Multi-vessel coronary disease means the presence of a ≥ 50% stenosis in two or more major epicardial arteries or left main coronary artery. The SYNTAX scoring system was utilized to quantify the complexity of CHD, each coronary lesion with a diameter stenosis ≥ 50% in vessels ≥ 1.5 mm was scored, using the online SYNTAX score calculator (Version 2.28, www.syntaxscore.com). With the cutoffs used in the current US/European guidelines, patients with low lesion complexity had SYNTAX scores ≤ 22, intermediate lesion complexity was defined as a SYNTAX score 23–32, and high lesion complexity was defined as a SYNTAX score ≥ 33 [21].

Clinical and laboratory assessments

Detailed demographics and anthropometrics parameters (family, medical and drug histories) of each study object were recorded. Body mass index (BMI) was calculated as the body weight (kg) divided by the square of the height (m2). Blood pressure and heart rate (HR) were measured by trained doctors or nurses using a sphygmomanometer after the patient had rested for at least 10 min and were determined as the mean of 3 measurements taken 1 min apart. Diabetes was defined as fasting blood glucose (FBG) ≥ 7 mmol/L, or 2-h postload glucose level ≥ 11.1 mmol/L and/or glycated hemoglobin (HbA1c) ≥ 6.5% according to WHO criteria. Biochemical parameters such as serum potassium, sodium, chloride, creatinine, blood urea nitrogen (BUN), FBG, total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were measured using standard procedures in the hospital clinical laboratory. The circulating levels of ACE2-Ang-(1–7)-MAS axis were measured using commercial enzyme-linked immunosorbent assay (ELISA) kits (Cloud-Clone Corp, Houston). The ELISA for measurement of ACE2 employed the sandwich enzyme immunoassay technique and the ELISA for measurement of Ang-(1–7) and Ang-(1–9) employed the competitive inhibition enzyme immunoassay. According to the kit instructions, the reaction system and standard curve were established. The absorbance of each sample was measured by enzyme-linked immunosorbent analyzer. The content of ACE2, Ang-(1–7) and Ang-(1–9) were calculated in accordance with the standard curve (for plasma measurement, blood was collected within 48 h).

Statistical analysis

All analyses were performed using IBM SPSS statistical software (version 25.0; IBM Corp, Armonk, NY). Continuous variables were expressed as means ± standard deviation (SD) or median (interquartile range) and categorical variables as percentages. Chi square test and a standard one-way analysis of variance (ANOVA) test were used for comparisons of categorical and continuous variables, respectively. Univariable and multivariate logistic regression analyses were performed to determine factors associated with CHD. We divided the distribution of ACE2 parameters into quartiles, the odds ratio (OR) and 95% confidence interval (CI) were calculated in relation to each quartile increase of ACE2 levels. The univariable associations between 16 covariates and CHD are indicated in Supplementary Table 3. Variables with a P value < 0.10 in univariate analysis were entered into multivariate analysis. Previous studies reported that diabetes was closely associated with CHD [22, 23], thus diabetes was entered into multivariate analysis. OR were estimated using several logistic regression models with progressive adjustment: model 1 was unadjusted, model 2 was adjusted for age and diabetes, model 3 was further adjusted for SBP, sodium, FBG, HDL-C. We considered a P value less than 0.05 as significant for all test.

Results

Clinical and biochemical characteristics of the study subjects including 218 angiography confirmed CHD patients and 57 non-CHD patients are presented in Table 1. Subjects who had CHD tended to be men and older, and more of them had higher potassium, FBG levels than those who did not develop CHD. The serum sodium, HDL-C levels of CHD patients were lower than that of non-CHD patients. The other clinical characteristics were comparable between CHD patients and non-CHD patients.

Table 1.

Baseline characteristics of the study population

Variables CHD (218) Non-CHD (57) P value
Age (years) 65.10 ± 9.29 60.19 ± 9.89 0.001
Male (%) 54.59% 31.58% 0.002
BMI (kg/m2) 23.91 ± 3.18 23.69 ± 3.42 0.659
HR (beats/min) 75.30 ± 12.17 76.21 ± 12.42 0.619
SBP (mmHg) 142.23 ± 21.59 136.47 ± 22.04 0.079
DBP (mmHg) 78.61 ± 10.85 80.00 ± 15.20 0.527
Potassium (mmol/L) 3.73 ± 0.44 3.63 ± 0.28 0.043
Sodium (mmol/L) 139.02 ± 2.67 140.08 ± 2.07 0.006
Chloride (mmol/L) 103.80 ± 7.32 105.37 ± 3.34 0.120
Creatinine (μmol/L) 86.69 ± 42.85 77.52 ± 28.75 0.131
BUN (mmol/L) 5.41 ± 3.33 5.28 ± 2.20 0.778
FBG (mmol/L) 6.84 ± 2.51 6.13 ± 1.81 0.018
Triglyceride (mmol/L) 1.68 ± 1.01 1.78 ± 1.51 0.559
Total cholesterol (mmol/L) 4.35 ± 1.24 4.52 ± 0.97 0.338
LDL-C (mmol/L) 2.52 ± 1.01 2.49 ± 0.80 0.850
HDL-C (mmol/L) 1.02 ± 0.27 1.12 ± 0.23 0.011
Diabetes (%) 43.31% 32.35% 0.240
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Values are expressed as mean ± standard deviation (SD) or percentages

BMI body mass index, HR heart rate, SBP systolic blood pressure, DBP diastolic blood pressure, BUN blood urea nitrogen, FBG fasting blood glucose, LDL-C low-density lipoprotein cholesterol, HDL-C high-density lipoprotein cholesterol

As shown in Fig. 1, males had significantly higher ACE2 (male vs. female; 6612.64 ± 4069.48 vs. 4907.74 ± 4808.85 pg/ml, P = 0.003), Ang-(1–7) (male vs. female; 1138.44 ± 1023.23 vs. 804.13 ± 633.98 pg/ml, P = 0.002) activities, while lower Ang-(1–9) (male vs. female; 47.28 ± 46.29 vs. 63.16 ± 63.89 pg/ml, P = 0.021) levels than females. Thus, further between-group comparisons were performed separately for males and females. The circulating ACE2 levels were increased in female CHD patients when compared to non-CHD patients (5617.16 ± 5206.67 vs. 3124.06 ± 3005.36 pg/ml, P = 0.009; Fig. 2a), while Ang-(1–7) and Ang-(1–9) levels had no significant differences between two groups (Fig. 2b, c). There were also no significant differences of circulating ACE2, Ang-(1–7) and Ang-(1–9) levels between male patients with and without CHD (Fig. 2).

Fig. 1.

Fig. 1

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Gender differences in circulating levels of ACE2-Ang-(1–7)-MAS axis

Fig. 2.

Fig. 2

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Comparison of circulating ACE2, Ang-(1–7) and Ang-(1–9) levels between CHD and non-CHD groups

The circulating ACE2 levels were divided into quartile categories, then calculated the OR and 95% CI using multiple logistic regression analysis to evaluate predictors of CHD for study population (Table 2). The quartiles of ACE2 were significantly associated with CHD in female (P for trend = 0.025), compared with the people in the lowest ACE2 quartile, those in the highest quartile had an OR of 4.33 (95% CI 1.20–15.61) for the CHD. After adjustment for age, diabetes, SBP, sodium, FBG, HDL-C (model 3), the OR was 5.94 (95% CI 1.08–32.51) for the third ACE2 quartile and 9.58 (95% CI 1.61–56.95) for the highest ACE2 quartile (P for trend = 0.022).

Table 2.

Predictors of increased ACE2 levels for CHD in female by multiple logistic regression analysis

Quartiles of ACE2, OR (95% CI) P value for trend
Q1 Q2 Q3 Q4
Model 1: crude 1.00 1.40 (0.49–4.00) 1.70 (0.59–4.93) 4.33 (1.20–15.61) 0.025
P value 0.530 0.325 0.025
Model 2 1.00 6.97 (0.88–54.88) 4.81 (0.90–25.81) 7.36 (1.30–41.79) 0.018
P value 0.065 0.067 0.024
Model 3 1.00 6.25 (0.84–46.57) 5.94 (1.08–32.51) 9.58 (1.61–56.95) 0.022
P value 0.074 0.040 0.013
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Model 1 crude, Model 2 adjusted age, diabetes, Model 3 adjusted for model 2, SBP, sodium, FBG, HDL-C

The study subjects were divided into three groups according to the number of diseased coronary arteries (non-CHD, single vessel and multi-vessels), then stratified into three groups based on SYNTAX score (low score ≤ 22, intermediate score 23–32, and high score ≥ 33) [24, 25]. Significant difference was found between the multi-vessel lesions group and the  non-CHD group (P = 0.009), but not in other groups (P > 0.05) (Fig. 3). Circulating ACE2 level had no correlation with the complexity of atherosclerosis assessed by SYNTAX score (P = 0.159) (Fig. 4).

Fig. 3.

Fig. 3

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The circulating levels of ACE2 in the non-CHD, single-vessel lesion and multi-vessel lesions groups

Fig. 4.

Fig. 4

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The circulating levels of ACE2 in the low SYNTAX score, intermediate SYNTAX score and high SYNTAX score groups

Discussion

This study characterizes for the first time the levels of ACE2-Ang-(1–7)-MAS axis in patients with CHD. We demonstrated gender differences in circulating levels of ACE2-Ang-(1–7)-MAS axis, further we performed sex-specific analyses. In females, circulating ACE2 levels were higher in the CHD group than in the non-CHD group, and multivariate logistic regression analyses showed that ACE2 was independently associated with CHD. However, circulating Ang-(1–7) and Ang-(1–9) levels were comparable between two groups. In males, the levels of ACE2-Ang-(1–7)-MAS axis had no significant differences between CHD patients and non-CHD patients.

The ACE2 gene is located on the X chromosome, ACE2 converts Ang I and Ang II into Ang-(1–9) and Ang-(1–7), and it is reasonable that there is gender difference in the ACE2-Ang-(1–7)-MAS axis. Studies in healthy individuals and in subjects with type 1 diabetes [26] and renal disease [27] demonstrated that males had a trend for higher ACE2 activities than females. Our result was in accordance with previous findings with higher serum ACE2 activities in males than in females. Renal cortical Ang-(1–7) levels were higher in female spontaneously hypertensive rats compared with male rats [28, 29], and a study involving 24 healthy subjects reported women exhibit higher plasma concentrations of Ang-(1–7) compared with men [30]. In contrast, results of a previous study involving 93 healthy subjects showed men have significantly higher circulating Ang-(1–7) levels than women [31]. We first examine the influence of gender on circulating levels of Ang-(1–7) in patients with and without CHD, and our results showed the levels of Ang-(1–7) in men are higher than that in women, the higher levels of Ang-(1–7) in men might be linked to increases in ACE2 which could promote Ang-(1–7) formation from Ang II. This is one of the first studies to demonstrate the circulating levels of Ang-(1–9) are higher in females, we speculated that higher Ang-(1–9) levels in females may result in the increased activities of Ang I or other components which directly convert Ang I to Ang-(1–9). Therefore, although there are some inconsistent results, gender difference in the ACE2-Ang-(1–7)-MAS axis does exist, which may be mediated, in part, by sex hormones. For example, estrogen has been demonstrated to associate with nonclassical RAS components including ACE2, Ang-(1–7) and MasR activity [32–34]. In addition, gender differences in the presentation, prevalence and clinical outcomes of CHD are known to exist [35], thus we performed sex-specific analyses subsequently. Further larger population studies are needed to investigate and determine whether the associations of this axis with CHD vary according to gender.

A cleavage of the catalytically active ectodomain of ACE2 results in a smaller protein fragment found in plasma, serum and urine, is known as soluble ACE2 [7]. Circulating ACE2 activity has been considered to be a marker of cardiovascular disease (CVD), with low levels in healthy individuals, and increased levels in those with CVD such as hypertension [36], heart failure [37] and myocardial infarction [38]. The major finding of the present study was that circulating ACE2 levels were increased in female angiographically proven CHD patients, suggesting ACE2 activity may serves as a novel marker of CHD in women. In a study involving 859 subjects with type 1 diabetes, circulating ACE2 levels were significantly higher in those who had a history of CHD [26], ACE2 seems to combat the adverse effects of activated RAS and, therefore, may be a compensatory mechanism in coronary atherosclerosis. Previous studies have shown that the expression of cardiac ACE2 was increased after myocardial infarction (MI) [39–42], the circulating ACE2 activities were also significantly increased in MI patients [43, 44] and animal models [38]. Our results suggested that even though without acute myocardial injury there is an increase in circulating ACE2, which may reflect coronary underlying atherosclerosis rather than MI [45].

However, the association of ACE2 with CHD is not found in men. Sex dimorphism of CHD has been observed in the prevalence and the onset age of CHD. Estrogen is thought to have beneficial effects on atherosclerotic plaque progression, vasodilation, and blood pressure [46]. Prior to menopause, women have relatively more protection against CHD compared with men of the same age range, and the onset age of CHD in women is typically 10 years later than that in men [47]. Therefore, it is generally considered that male is a risk factor for CHD, but interestingly, the serum ACE2 levels were associated with CHD only in women in our study. Several mechanisms may explain why serum ACE2 has a greater relative risk for CHD in women than in men. First, our study showed that differences in the baseline levels of age, SBP, sodium, FBG, and HDL-C among participants with and without CHD were significantly greater in women than in men (Supplementary Table 1 and Table 2). The sex difference in the CHD risk related to the ACE2 level may be mediated in part by differences in the levels of other cardiovascular risk factors. Moreover, women have been found to have a longer time from symptom onset until diagnosis and intervention, are less likely to receive proven efficacious therapies (β-blockers, aspirin, statins, thrombolytics), are less likely to be referred for invasive testing and coronary artery bypass grafting [46], the treatment bias that favors men may cause the excess relative risk of CHD in women with higher ACE2 levels.

After adjusting for the confounding factors, the risk of developing CHD remained significantly higher in the highest circulating ACE2 level quartile group than in the lowest quartile group in woman. We indicated, for the first time, that circulating ACE2 level independently predicted the development of CHD in woman subjects. Further, within-CHD group analysis showed that ACE2 in the multi-vessel lesions group but not in the single-vessel lesion group was significantly higher than that in the non-CHD group. These results indicate that ACE2 is independently associated with CHD in female patients and is connected with multi-vessel lesions. The SYNTAX score has been used to score complexity of CHD, there is no significant correlation between the circulating ACE2 levels and the SYNTAX score in CHD patients found in our study, suggesting circulating ACE2 activity cannot act as the marker for evaluating the complexity of CHD. In summary, our findings demonstrated that increased ACE2 was independently associated with CHD in female and in patients with multi-vessel lesions even after adjusting for the confounding factors, these results reinforced the important counter-regulatory role of ACE2 in coronary atherosclerosis. Thus, modulation of ACE2 could offer a future therapeutic option in patients with atherosclerotic disease.

ACE2 undergoes shedding to release the catalytically active ectodomain into the extracellular milieu, this process results in ACE2 that can be detected in the circulation. The shedding of the membrane-bound ACE2 is stimulated by a disintegrin and metalloproteinase, ADAM17, which is known as tumor necrosis factor-α-converting enzyme (TACE) [48]. There may be an aberrant neo-expression of ACE2 in endothelial cells under pathologic conditions [49], in certain conditions such as MI, kidney disease or diabetes, this abnormally expressed endothelial protein could be shed into the circulation thus could be the source of increased circulating ACE2 activity [50]. A previous study showed the tissue ACE2 activity in human-ruptured atherosclerotic lesions is increased when compared with that in stable advanced atherosclerotic lesions [12]. We suggested that circulating ACE2 levels were higher in female CHD patients than those without CHD, the circulating ACE2 level was associated with tissue ACE2 expression. Our results support that the increase in circulating ACE2 level reflects increased tissue ACE2 synthesis from mRNA and increased ACE2 shedding of the protein, and further studies that simultaneously measure tissue and circulating ACE2 activity are needed.

As is mentioned above, Ang-(1–7) and Ang-(1–9) have been proposed to be important mediators in cardioprotection [51]. A series of studies demonstrated that both plasma and myocardial tissue levels of Ang-(1–7) significantly increased in myocardial infarction [41, 52]. In contrast, another study indicated that the circulating levels of Ang-(1–9), but not Ang-(1–7) levels, increased 1 week after myocardial infarction [38]. This latter observation is consistent with our findings on circulating Ang-(1–7) levels, which increased in the CHD patients, but the difference was not significant. Ang-(1–7) has been proved as a protective factor against atherosclerosis because of its actions that are mainly opposite to those of Ang II, including antifibrotic and antitropic actions in heart, vasodilation and antiproliferation effects in blood vessels [53]. It has been demonstrated that the plasma levels of Ang-(1–7) were not significantly changed in patients with noncritical coronary atherosclerosis, moreover, for patients with severe coronary atherosclerosis, Ang-(1–7) levels were elevated [54]. Thus, we believe that Ang-(1–7) might as a compensatory mechanism in the development of human atherosclerosis, more clinical strategies to evaluate circulating Ang-(1–7) in coronary atherosclerosis are needed to confirm this conclusion. Our data suggested no change in the levels of Ang-(1–9) between the two groups. Little is known regarding the role of Ang-(1–9), and it may act as an intermediate involved in the formation of Ang-(1–7) from Ang I by ACE2. Whether Ang-(1–9) itself has a direct biological effect on cardiac or actions through the generation of different metabolites is still an open question. This is one of the first studies to demonstrate the levels of Ang-(1–7) and Ang-(1–9) are not parallel with the increase of serum ACE2 levels in patients suspected with CHD, suggesting increased ACE2 activity might directly affect atherosclerosis progress rather than induce more conversion from Ang II to Ang-(1–7) or Ang I to Ang-(1–9).

Several limitations should be considered. First, this was single-center study involving a relatively small number of patients, and further studies with a larger sample size needs to be performed. Second, the patients with CHD had a higher percentage compared with the non-CHD groups, which led to the difference in the numbers between the two groups. Third, this was a cross-sectional study, which limited the conclusions about causality of our associations, long-term follow-up may strengthen our conclusion. Finally, we did not simultaneously measured tissue and circulating levels of ACE2-Ang-(1–7)-MAS axis, thus failed to identify the hypotheses that the increase in tissue ACE2-Ang-(1–7)-MAS will result in increased circulating ACE2-Ang-(1–7)-MAS activities. Moreover, the mechanisms of ACE2 that regulate CHD in humans needs to be further determined via basic research.

In conclusion, the present study provided novel information on ACE2-Ang-(1–7)-MAS axis in CHD. Curating ACE2 levels, but not Ang-(1–7) and Ang-(1–9) levels, significantly increased in female CHD group compared with non-CHD group, with subgroup analysis showing that the significant difference only exists in patients with multi-vessel lesions. The increased ACE2 was independently associated with CHD in female after adjusting for the confounding factors. Our findings support that the circulating ACE2 level may be a potential biomarker of CHD with its direct cardiovascular protection, thus modulation of ACE2 could offer a future therapeutic option in patients with atherosclerotic disease.

Electronic supplementary material

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Supplementary file1 (DOCX 14 kb) (14.7KB, docx)
Supplementary file2 (DOCX 13 kb) (13.6KB, docx)
Supplementary file3 (DOCX 14 kb) (14.5KB, docx)

Acknowledgements

The authors thank Mr. Xiangfeng Dou (Department of Epidemiology, Beijing Center for Disease Prevention and Control, Beijing 100013, PR China) for his help in statistical analysis.

Funding

This work was supported by National Natural Science Foundation of China [Grant numbers 81273599, 81770253]; Guangdong Natural Science Foundation [Grant number 2015A030313661] and the Science and Technology Planning Project of Guangdong Province [Grant number 2014A020212404].

Compliance with ethical standards

Conflict of interest

The authors have no conflicts of interest to disclose.

Human and animal rights statement

The authors declare all human studies have been approved by the appropriate ethics committee and have, therefore, been performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments. This article does not contain any studies with animals performed by any of the authors. All persons gave their informed consent prior to their inclusion in the study.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Xiaomin Zhou and Ping Zhang contributed equally to this work.

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