Literature DB >> 30342552

Association of ACE2 polymorphisms with susceptibility to essential hypertension and dyslipidemia in Xinjiang, China.

Yizhi Pan1, Tianyi Wang1, Yanfang Li2, Tianwang Guan2, Yanxian Lai1, Yan Shen1, Abudurexiti Zeyaweiding3, Tutiguli Maimaiti3, Fang Li3, Haiyan Zhao3, Cheng Liu4,5,6.   

Abstract

BACKGROUND: Cardiovascular benefits by reversing environmental risks factors for essential hypertension (EH) and dyslipidemia could be weaken by high genetic risk. We investigated possible associations between ACE2 polymorphisms and dyslipidemia in patients with EH.
METHODS: Four hundred and two hypertensive patients were enrolled in an EH group and 233 normotensive individuals were enrolled as control group from the Xinjiang region of China. Fourteen ACE2 polymorphisms were genotyped by Matrix-assisted laser desorption ionization time-of-flight mass spectrometry.
RESULTS: Participants carrying T allele (TT + CT) of rs2074192 (P = 0.006), rs4646155 (P = 0.030) and rs4646188 (P < 0.001), C allele (CT + CT or CC + CG) of rs4240157 (P = 0.012), rs4830542 (P = 0.020) and rs879922 (P < 0.001) and TT genotype of rs2106809 (P = 0.012) were associated with EH. Meanwhile,ACE2 SNPs also exhibited association with dyslipidemia but exhibited obvious heterogeneity. rs1978124 (TT + CT, P = 0.009), rs2106809 (TT, P = 0.045), rs233575 (CC + CT, P = 0.018), rs4646188 (CC, P = 0.011) and rs879922 (CC + CG, P = 0.003) were association with increased LDL-C (≥1.8 mmol/L). rs2106809 (CC + CT, P < 0.001), rs2285666(TT + CT, P = 0.017), rs4646142(CC + CG, P = 0.044), rs4646155(TT + CT, P < 0.001) and rs4646188(TT + CT, P = 0.033) were association with decreased HDL-C (< 1.0 mmol/L). rs2074192 (TT + CT, P = 0.012), rs4240157 (CC + CT, P = 0.027), rs4646156 (AA+AT, P = 0.007), rs4646188 (TT + CT, P = 0.005), rs4830542 (CC + CT, P = 0.047) and rs879922 (CC + CG, P = 0.001) were association with increased TC (≥5.2 mmol/L). rs2106809 (P = 0.034) and rs4646188 (P = 0.013) were associated with hypertriglyceridemia. Further, ischemic stroke was more prevalent with rs4240157 (CC + CT, P = 0.043), rs4646188 (CC + CT, P = 0.013) and rs4830542 (CC + CT, P = 0.037). In addition, rs2048683 and rs6632677 were not association with EH, dyslipidemia and ischemic stroke.
CONCLUSION: The ACE2 rs4646188 variant may be a potential and optimal genetic susceptibility marker for EH, dyslipidemia and its related ischemic stroke.

Entities:  

Keywords:  ACE2 polymorphism; Association; Dyslipidemia; Essential hypertension; Ischemic stroke

Mesh:

Substances:

Year:  2018        PMID: 30342552      PMCID: PMC6195726          DOI: 10.1186/s12944-018-0890-6

Source DB:  PubMed          Journal:  Lipids Health Dis        ISSN: 1476-511X            Impact factor:   3.876


Background

Essential hypertension (EH) is a clinical syndrome characterized by increased systemic arterial pressure (SBP ≥ 140 mmHg/ DBP ≥ 90 mmHg) that often leads to dysfunction or damage of organs including the heart, brain and kidney. The incidence of hypertension has steadily increased over the past decade [1], and the proportion of hypertensive patients with other cardiovascular risk factors (e.g., dyslipidemia, overweight/obesity and lack of physical activity, etc) has increased continuously with the increasing prevalence of EH in China [2]. Hypertension plus dyslipidemia is also recognized as the leading cause in global death of vascular disease [3]. Genetic background notwithstanding, comprehensive management of those multiple modifiable risk factors (e.g., unhealthy diet, lack of physical activity, smoking, obesity, and dyslipidemia, etc) is significant associated with lower blood pressure, lower LDL-C and lower cardiovascular events (e.g., arteriosclerosis cardiovascular disease (ASCVD)) [4], but the cardiovascular benefits of healthy lifestyles could be weaken or offset by high genetic risk [5]. Thus, clinical evaluation of genetic background must be considered along with emphasizing the influence of lifestyle modification on the prevention of hypertension, dyslipidemia and its related cardiovascular events [6]. Numerous candidate genes have been implicated in susceptibility to EH. In recent years genes of the renin-angiotensin-aldosterone system (RAAS) have received a good deal of attention. Angiotensin converting enzyme 2 (ACE2) is an important regulator of RAAS (a homolog of ACE), and a monocarboxypeptidase that converts angiotensin II (Ang II) into angiotensin 1–7 (Ang 1–7) which, by virtue of its actions on the Mas receptor, negatively regulates Ang II-induced cardiovascular damage, and exhibites notable cardiovascular protective effects [7]. ACE2 maps to chromosome Xp22, spans 39.98 kb of genomic DNA, and contains 20 introns and 18 exons. The ACE2 gene encodes a type I membrane-bounding glycoprotein composed by 805 amino acids. Functional domains include a C-terminal transmembrane anchoring region, N-terminal signal peptide region and an HEXXH zinc binding metalloprotease motif. ACE2 polymorphisms not only associated with EH in the Chinese population [8] but also exhibited geographical (southern vs. northern [9-12]), ethnic (Han vs. non-Han nationality) [11-13], and gender (females and males [9, 10]) diversity. However, the association of ACE2 SNPs with dyslipidemia and ASCVD (e.g., ischemic stroke (IS)) in Xinjiang region of China are rarely reported. Theoretically, there may be common genetic basis between dyslipidemia, hypertension and its related IS [14, 15] manifesting the characteristics of ethnic-specific genetic pleiotropy [16]. In this study we investigated possible associations of ACE2 gene variations with hypertension, dyslipidemia and its related cardiovascular events in Xinjiang.

Methods

Study participants

This study was reviewed and approved by the Ethics Committee of Guangzhou First People’s Hospital, the Second Affiliated Hospital of South China University of Technology. From August 2012 to December 2017, a total of 402 consecutive patients with EH (222 Han and 180 Uygur) and 233 normotensive subjects (116 Han and 117 Uygur) from the southern Xinjiang, China were enrolled in the study. Both Han and Uygur participants were long resident in the region and were from multi-generation resident families. The newly hypertensive patients were diagnosed according to the criteria of the 1999 World Health Organization/International Society of Hypertension (WHO/ISH) as follows: (1) systolic blood pressure (SBP) ≥ 140 mmHg and/or diastolic blood pressure (DBP) ≥ 90 mmHg; (2) diagnosed as EH for the first time and did not receive any antihypertensive treatment. Any participants diagnosed with white coat hypertension and secondary hypertension were excluded from the study according to 2013 ESH/ESC guidelines for the management of arterial hypertension [17]. The normotensive individuals were recruited a medical examination at the same hospital, and were clinically confirmed in the absence of hypertension according to previously described methods with slight modifications [18]. All stroke participants were survivors of ischemic stroke (IS), and diagnosed by computed tomography and/or magnetic resonance image scanning of the brain according to guidelines for prevention of stroke in patients with ischemic stroke or transient ischemic attack [19]. All biochemistry tests were performed by standard methods in the Chemical Laboratory.

Genotyping assay

Genomic DNA was extracted from whole blood using the Maxwell RSC Whole blood DNA kit (Promega, Madison, WI), quantified using NanoDrop-1000 (ThermoFisher, Waltham, MA) and diluted to 10 ng/μL concentration. Fourteen ACE2 SNPs (rs1978124, rs2048683, rs2074192, rs2106809, rs2285666, rs233575, rs4240157, rs4646142, rs4646155, rs4646156, rs4646188, rs4830542, rs6632677 and rs879922) were identified based on existing literature and human genome sequence databases. Primers for ACE2 SNPs were designed based upon sequence information from GenBank using Primer 5.0 (Whitehead Institute Cambridge, Massachusetts, USA) and Operon’s Oligo software 7.60 (OperonTechnologies Inc., Alameda, California, USA). Primers are shown in Additional file 1: Table S1. ACE2 SNPs were analyzed using the Sequenom MassARRAY system according to previously described methods [20]. Genotyping accuracy was determined by genotype concordance between duplicate samples and was 100% for each SNP.

Statistical analysis

Because ACE2 is located on the X chromosome, Hardy–Weinberg equilibrium was assessed only for females as shown in Additional file 1: Table S2. Analysis was performed using SPSS version 20 (SPSS, Chicago, IL). Categorical variables (gender, nationality, EH, high low-density lipoprotein cholesterol(LDL-C ≥ 1.8 mmol/L), low high-density lipoprotein cholesterol (HDL-C <  1.0 mmol/L), high total cholesterol (TC ≥ 5.2 mmol/L), high triglyceridemia (TRIG≥1.7 mmol/L) [21] and IS) were presented as frequencies. The relationship between each ACE2 SNP and those categorical variables were assessed using the Chi square test. The Odds ratio (OR) between control genotype and high hypertensive risk genotype for each ACE2 SNP among categorical variables was evaluated using binary logistic regression. Considering the possible false positive risk to the final result, Bonferroni adjustment was applied to adjust the p-value obtained in multi-logit regression. Continuous variables (age, SBP, DBP, BMI and blood biochemical index) were presented as mean ± SD. Significant differences for continuous variables were analyzed by two/one way ANOVA or independent-sample t-test according to our research design. The least significant difference (LSD) test was further used to assess differences for two subgroups after variance analysis, to show distinct differences with homogeneous variance, while the Games-Howell test was used for heterogeneous variance. A P value less than 0.05 was considered statistically significant. All probabilities are two-tailed.

Result

Characteristics of the study participants

Among both Han and Uygur participants, hypertensive and normotensive subjects showed significant differences in SBP, DBP, BMI, LDL-C, serum sodium, serum uric acid, HsCRP and the activation of RAAS (all P < 0.05) but not in gender, age, smoking, drinking, TRIG, TC, HDL-C, lipoprotein A, blood glucose, renal function (Cr, BUN), liver function (ALT, AST, Alb) and blood electrolytes (calcium, potassium and magnesium) (all P > 0.05) (see Additional file 1: Table S3).

Association of ACE2 SNPs and EH

As shown in Table 1, ACE2 SNPs rs2074192 (P = 0.006), rs2106809 (P = 0.012), rs4240157 (P = 0.012), rs4646155 (P = 0.030), rs4646188 (P < 0.001), rs4830542 (P = 0.020) and rs879922 (P < 0.001) were significantly associated with EH.
Table 1

Association of ACE2 SNPs with EH in participants

ACE2 SNPsNormotensiveHypertensiveOR(95%CI)aP-valuea
(N/%)(N/%)
rs2074192 CC 118 (50.6)162(40.3)1.00
TT + CT 115 (59.4)240(59.7)1.72 (1.17–2.53)0.006
rs2106809 CC + CT 121 (51.9)175(43.5)1.00
TT 112(48.1)227(56.5)1.71 (1.13–2.58)0.012
rs4240157 CC + CT 43 (18.5)92 (22.9)1.99 (1.17–3.41)0.012
TT 190 (81.5)310 (77.1)1.00
rs4646155 CC 211 (90.6)334 (83.1)1.00
TT + CT 22 (9.4)68 (16.9)1.94 (1.06–3.54)0.030
rs4646188 CC 74 (31.8)85 (21.1)1.00
TT + CT 159 (68.2)317 (78.9)3.25 (1.95–5.41)< 0.001
rs4830542 CC + CT 43 (18.5)90 (22.4)1.88 (1.10–3.23)0.020
TT 190 (81.5)312 (77.6)1.00
rs879922 CC + CG 40 (17.2)131 (32.6)4.86 (2.74–8.64)< 0.001
GG 193 (82.8)271 (67.4)1.00

aAfter adjustment for nationality, gender, age, smoking, BMI, TRIG, LDL-C, HDL-C, Lp(a), FBS, UA, HsCRP and Ang II

Association of ACE2 SNPs with EH in participants aAfter adjustment for nationality, gender, age, smoking, BMI, TRIG, LDL-C, HDL-C, Lp(a), FBS, UA, HsCRP and Ang II

Association of ACE2 SNPs with increased LDL-C (≥ 1.8 mmol/L)

As shown in Table 2, ACE2 SNPs rs1978124 (P = 0.009), rs2236306 (P = 0.045), rs233575 (P = 0.018), rs4646188 (P = 0.011) and rs879922 (P = 0.003) were associated with high low-density lipoprotein cholesterol.
Table 2

Association of ACE2 SNPs with increased LDL-C (≥1.8 mmol/L) in study subjects

ACE2 SNPsLDL-C (N/%)OR(95%CI)aP-valuea
< 1.8 mmol/L≥1.8 mmol/L
rs1978124 CC 122 (91.0)405 (80.0)1.00
TT + CT 12 (9.0)96 (19.2)2.51 (1.26–5.01)0.009
rs2106809 CC + CT 70 (52.2)226 (45.1)1.00
TT 64 (47.8)275 (54.9)1.58 (1.01–2.46)0.045
rs233575 CC + CT 9 (6.7)75 (15.0)2.52 (1.17–5.44)0.018
TT 125 (93.3)426 (85.0)1.00
rs4646188 CC 30 (22.4)129 (25.7)1.96 (1.16–3.29)0.011
TT + CT 104 (77.6)372 (74.3)1.00
rs879922 CC + CG 20 (14.9)151 (30.1)2.48 (1.35–4.55)0.003
GG 114 (85.1)350 (69.9)1.00

aAfter adjustment for nationality, gender, age, BMI, EH, FBS, HsCRP and Ang II

Association of ACE2 SNPs with increased LDL-C (≥1.8 mmol/L) in study subjects aAfter adjustment for nationality, gender, age, BMI, EH, FBS, HsCRP and Ang II

Association of ACE2 SNPs with decreased HDL-C (< 1.0 mmol/L)

As shown in Table 3, ACE2 SNPs rs2106809 (P < 0.001), rs2285666 (P = 0.017), rs4646142 (P = 0.044), rs4646155 (P < 0.001) and rs4646188 (P = 0.033) were significantly associated with low high-density lipoprotein cholesterol.
Table 3

Association of ACE2 SNPs with decreased HDL-C (< 1.0 mmol/L) in study subjects

ACE2 SNPsHDL-C (N/%)OR(95%CI)aP-valuea
≥ 1.0 mmol/L<  1.0 mmol/L
rs2106809 CC + CT 215 (42.1)81 (65.3)2.49 (1.58–3.91)< 0.001
TT 296 (57.9)43 (34.7)1.00
rs2285666 CC 194 (38.0)37 (29.8)1.00
TT + CT 317 (62.0)87 (70.2)1.73 (1.10–2.71)0.017
rs4646142 CC + CG 318 (62.2)85 (68.5)1.58 (1.01–2.46)0.044
GG 193 (37.8)39 (31.5)1.00
rs4646155 CC 453 (88.6)92 (74.2)1.00
TT + CT 58 (11.4)32 (25.8)2.85 (1.71–4.75)< 0.001
rs4646188 CC 123 (24.1)36 (29.0)1.00
TT + CT 388 (75.9)88 (71.0)1.88 (1.05–3.35)0.033

aAfter adjustment for nationality, gender, age, BMI, EH, FBS, HsCRP and Ang II

Association of ACE2 SNPs with decreased HDL-C (< 1.0 mmol/L) in study subjects aAfter adjustment for nationality, gender, age, BMI, EH, FBS, HsCRP and Ang II

Association of ACE2 SNPs with increased TC (≥5.2 mmol/L)

As shown in Table 4, ACE2 SNPs rs2074192 (P = 0.012), rs4240157 (P = 0.027), rs4646156 (P = 0.007), rs4646188 (P = 0.005), rs4830542 (P = 0.047) and rs879922 (P = 0.001) were associated with high TC.
Table 4

Association of ACE2 SNPs with increased TC (≥ 5.2 mmol/L) in study subjects

ACE2 SNPsTC (N/%)OR(95%CI)aP-valuea
< 5.2 mmol/L≥5.2 mmol/L
rs2074192 CC 240 (46.0)40 (35.4)1.00
TT + CT 282 (54.0)73 (64.6)1.83 (1.14–2.94)0.012
rs4240157 CC + CT 102 (19.5)33 (29.2)1.78 (1.07–2.98)0.027
TT 420 (80.5)80 (70.8)1.00
rs4646156 AA + AT 57 (10.9)21 (18.6)2.34 (1.07–4.32)0.007
TT 465 (89.1)92 (81.4)1.00
rs4646188 CC 143 (27.4)16 (14.2)1.00
TT + CT 379 (72.6)97 (85.8)2.31 (1.29–4.13)0.005
rs4830542 CC + CT 100 (19.2)33 (29.2)1.64 (1.01–2.66)0.047
GT 422 (80.8)80 (70.8)1.00
rs879922 CC + CG 123 (23.6)48 (42.5)2.17 (1.38–3.41)0.001
GG 399 (76.4)65 (57.5)1.00

aAfter adjustment for nationality, gender, age, BMI, EH, FBS, HsCRP and Ang II

Association of ACE2 SNPs with increased TC (≥ 5.2 mmol/L) in study subjects aAfter adjustment for nationality, gender, age, BMI, EH, FBS, HsCRP and Ang II

Association of ACE2 SNPs with increased TRIG (≥1.7 mmol/L)

As shown in Table 5, ACE2 SNPs rs2106809 (P = 0.034) and rs4646188 (P = 0.013) were associated with hypertriglyceridemia.
Table 5

Association of ACE2 SNPs with increased TRIG (≥1.7 mmol/L) in study subjects

ACE2 SNPsTRIG (N/%)OR(95%CI)aP-valuea
< 1.7 mmol/L≥1.7 mmol/L
rs2106809 CC + CT 229(45.6)67(50.4)1.61(1.04–2.49)0.034
TT 273(54.4)66(49.6)1.00
rs4646188 CC 120(23.9)39(29.3)1.80(1.13–2.85)0.013
TT + CT 382(76.1)94 (70.7)1.00

aAfter adjustment for nationality, gender, age, BMI, EH, FBS, HsCRP and Ang II

Association of ACE2 SNPs with increased TRIG (≥1.7 mmol/L) in study subjects aAfter adjustment for nationality, gender, age, BMI, EH, FBS, HsCRP and Ang II

Association of ACE2 SNPs with ischemic stroke

As shown in Table 6, ACE2 SNPs rs4240157 (P = 0.043), rs4646188 (P = 0.013) and rs4830542 (P = 0.037) were associated with ischemic stroke.
Table 6

Association of ACE2 SNPs with ischemic stroke in study subjects

ACE2 SNPsNon-ISISOR(95%CI)aP-valuea
(N/%)(N/%)
rs4240157 CC + CT 114 (20.2)21 (30.0)2.18 (1.03–4.65)0.043
TT 451 (79.8)49 (70.0)1.00
rs4646188 CC + CT 135 (23.9)24 (34.3)2.44 (1.21–4.91)0.013
TT 430 (76.1)46 (65.7)1.00
rs4830542 CC + CT 112 (19.8)21 (30.0)2.25 (1.05–4.80)0.037
TT 453 (80.2)49 (70.0)1.00

aAfter adjustment for nationality, gender, age, smoking, BMI, SBP, DBP, LDL-C, HDL-C, FBS, HsCRP and Ang II

Association of ACE2 SNPs with ischemic stroke in study subjects aAfter adjustment for nationality, gender, age, smoking, BMI, SBP, DBP, LDL-C, HDL-C, FBS, HsCRP and Ang II

Discussion

EH and dyslipidemia is rapidly developing into an epidemic, and dramatically increases the global cardiovascular events that have become a serious public health problem especially in developing countries (e.g., China) [2], which has become the leading cause of ASCVD-related death (e.g., IS) during the last decade in China [22]. The treatment and prevention outlook for EH and dyslipidemia is more severe in China [23], especially in minority areas (e.g., Xinjiang) owing to the prevalence of EH and dyslipidemia differs among different geographic areas (urban and rural) and ethnicities (Han and non-Han (e.g., Uygur) populations) while at the same time EH and dyslipidemia related stroke is extremely high [16, 24]. Thus, early identification and assessing populations at high risk of EH and dyslipidemia are the key steps in ASCVD (e.g., IS) prevention and control. This study addressed possible relationships of ACE2 polymorphisms with EH and dyslipidemia in south Xinjiang region of China. We found that the genotypes of rs2074192 (TT + CT), rs2106809 (TT), rs4240157 (CC + CT), rs4646155 (TT + CT) and rs4830542 (CC + CT) were linked to moderate EH risk (OR = 1.71–1.99) while rs4646188 (TT + CT) and rs879922 (CC + CG) linked to high EH risk (OR = 3.25–4.86). Our findings are consistent with the observation by Patel et al. [25] who reported ACE2 SNPs (rs2074192, rs4240157 and rs4646188) were associated with higher hypertension risk while rs1978124 was not in a diabetic Australian Caucasian population, and the study by Benjafield et al. [26] who reported that rs1978124 was not correlated with EH in Australian persons of Anglo-Celtic descent. In this study we newly found rs4646155 and rs879922 were association with EH, but our results are in contrast to the observations by Niu W et al. [9]. The association of ACE2 SNP rs2285666 with hypertension exhibit high genetic heterogeneity and varies with geographical, ethnic and gender [27], this loci was not linked to hypertension in Xinjiang, which was consistent with previously reported the association in northwestern [11] and central [12] China. In addition, this is the first report showing that SNP rs4830542 was associated with EH while rs2048683 was not correlated with EH (see Additional file 1: Table S4). Dyslipidemia is the second leading cause of cardiovascular disease-related death after hypertension [23]. The prevalence of hypertension plus dyslipidemia and overweight/obesity was reportedly high in Xinjiang [16, 28] and we made similar observations in the course of this study. Indeed, we also observed that the levels of BMI and LDL-C in hypertensive patients were close to levels of hypertensive patients in the United States [29]. To the best of our knowledge, this is the first more comprehensive study to investigate the association of ACE2 gene polymorphism with dyslipidemia. In previous studies SNP rs2285666 was not linked to dyslipidemia, but its relationship with various subtypes of dyslipidemia is not shown [30]. In this study we found that 9 ACE2 polymorphic loci were respectively correlated with only one type of dyslipidemia, including higher LDL-C (rs1978124 and rs233575), lower HDL-C (rs2285666, rs4646142 and rs4646155) and higher TC (rs2074192, rs4240157, rs4646156 and rs4830542). ACE2 SNP rs879922 (LDL-C and TC), rs2106809 (LDL-C, HDL-C and TRIG) and rs4646188 (LDL-C, HDL-C, TC and TRIG) were correlated with more than 2 types of dyslipidemia. However, 2 ACE2 polymorphic loci (rs2048683 and rs6632677) were non-correlated with any type of dyslipidemia (see Additional file 1: Table S5-S8). Not all dyslipidemia risk related ACE2 variation was also associated with hypertension (e.g., rs1978124, rs2285666, rs233575, rs4646142 and rs4646156), but all 7 EH risk related variation were also significantly correlated with dyslipidemia. Almost all high hypertensive risk genotypes of all EH risk related variations exhibited association with moderate to high risk of dyslipidemia except rs2106809 and rs4646188. Particularly, patients carrying the high EH risk genotype (TT) of rs2106809 were associated with increased LDL-C but those carrying the control genotype (CC + TT) of this loci was associated with decreased HDL-C and hypertriglyceridemia. By contrast, patients carrying the control genotype (CC) of rs4646188 were associated with increased LDL-C and TRIG but those carrying high EH risk genotype (TT + CT) of this loci was associated with the other two types of dyslipidemia. ACE2 polymorphisms correlations with elevated risk of dyslipidemia were obvious heterogeneity in Xinjiang. Both hypertension and dyslipidemia are clinical risk factors for ASCVD, and the risk for ASCVD increases following the increase in blood pressure and blood lipid level [31]. In this study we found that 3 ACE2 SNPs (rs1978124, rs2074192 and rs879922) were linked to moderate and high risk of EH or dyslipidemia (increased LDL-C and TC), which previously reported that the three loci were associated with cardiovascular death [32], suggesting that there is a common genetic basis for hypertension, dyslipidemia and cardiovascular events [33, 34]. Despite EH patients with dyslipidemia received standard hypotensive therapy and lipid-lowering therapy, there is still a significant increase residual risk of ASCVD, that is related to atherogenic dyslipidemia (high TRIG and low HDL-C level) [35]. Our results showed that 2 SNPs (rs2285666 and rs4646142) was not associated with EH (see Additional file 1: Table S4) but exhibited association with decreased HDL-C, which were consistent with previously reported association of the two loci with ASCVD (e.g., coronary heart disease [36], IS [37]). In this study we newly found that ACE2 SNPs rs4646188 were not only correlated with hypertension and atherogenic dyslipidemia but also linked to high risk of ischemic stroke. Four ACE2 SNPs (rs2074192, rs4240157, rs4830542 and rs879922) were association with hypertension and increased TC, but only rs4240157 and rs4830542 also exhibited association with high stroke risk in our study. Meanwhile, we found that rs2074192 and rs879922 were not only non-correlated with IS but also had nothing to do with the recurrence risk of stroke [38]. Although rs6632677 was not associated with hypertension, dyslipidemia and stroke, it was found to be related to left ventricular remodeling [39] and possible atrial fibrillation risk in Chinese population [40]. However, association of SNP rs2048683 with hypertension, dyslipidemia and stroke had been pretty “silent”, suggesting that the loci were not protective factors but they are at least not a harmful factor on EH and EH related cardiovascular events. Indeed, the RAAS activation plays a key role in the occurrence and progression of hypertension, dyslipidemia and its related ASCVD (e.g., IS). The circulation and tissue RAAS of hypertension with dyslipidemia are excessively activated [41], which promotes the accumulation of ox-LDL in the blood vessels and further accelerates the process of atherosclerosis. On the other hand, disequilibrium of vascular lipid homeostasis (especially the accumulation of ox-LDL) enhances the activation of RAAS [42]. ACE2 is an essential regulator by antagonizing Ang II mediated cardiovascular injury. Although the roles of ACE2 gene polymorphisms (mutations or variants) on hypertension, dyslipidemia and its related ASCVD were incompletely understood, it may be related to the cross-talk between ACE2/Ang-(1–7)/Mas axis and ACE/Ang II/AT1 axis [43]. ACE2 gene polymorphisms (e.g., rs2106809 [44], rs2074192 [43]) were associated with downregulation of circulating Ang-(1–7). The deletion of ACE2 in mice model was associated with increased circulation and tissue Ang II levels [45], led to cardiovascular damage [46]. The possible mechanism would be related to changes in quantity and function of ACE2 mutant protein owing to ACE2 polymorphism related amino acid substitutions(e.g., 1075A/G(rs1978124), 8790G/A (rs2285666) and 16854G/C(rs4646142), etc. [25, 47]), which might be involved in the posttranscriptional regulation via microRNA, the mRNA splicing efficiency (e.g., intron splicing enhancer or silencer element) and mRNA stability (e.g., conformation) of ACE2, at least partly confirmed by recent research that the changes of ACE2 expression was in protein level rather than mRNA level in mice [48], and microRNA might regulate RAAS activity via by altering the interaction between microRNA and mRNA of targeted gene [44]. In addition, ACE2 SNP rs4830542 was found to be located in the 3’-UTR region while the other 13 ACE2 SNPs (e.g., rs4646188) were in intron. Regardless of those SNPs were in 3’UTR region or intron (both in noncoding region of ACE2 gene), it is still unknown which SNPs is the functional SNP. Potentially, ACE2 SNP rs4646188 is hopeful to be the functional SNP because it is located in a splicing site of ACE2 gene that needs to be investigated further. Some limitations should be mentioned. First, since our sample size is not large enough, further prospective large sample studies are needed to validate our findings. Secondly, the possibility of false-positive findings should be considered especially for secondary study based on our results.

Conclusion

ACE2 SNP rs4646188 may be a potential and optimal genetic susceptibility marker for hypertension, dyslipidemia and its related cardiovascular events (i.e., ischemic stroke). Specially, our data showed for the first time that the ACE2 SNP rs4830542 was associated with hypertension and dyslipidemia. Our observations further support that the genetic predisposition of ACE2 SNPs associated with the risk of EH, dyslipidemia and its related cardiovascular events should need large-scale evaluation as well as in different ethnic groups. Table S1. ACE2 SNP primers used in the Sequenom MassARRAY system. Table S2. Descriptive information on ACE2 SNPs in study participants. Table S3. Baseline characteristics of study participants. Table S4. Association of 7 ACE2 SNPs with EH in participants. Table S5. Association of ACE2 SNPs with increased LDL-C (≥1.8 mmol/L) in study subjects Table S6 Association of ACE2 SNPs with decreased HDL-C (< 1.0 mmol/L) in study subjects. Table S7. Association of ACE2 SNPs with increased TC (≥5.2 mmol/L) in study subjects. Table S8. Association of ACE2 SNPs with increased TRIG (≥1.7 mmol/L) in study subjects. (DOCX 84 kb)
  48 in total

1.  Cross-talk between dyslipidemia and renin-angiotensin system and the role of LOX-1 and MAPK in atherogenesis studies with the combined use of rosuvastatin and candesartan.

Authors:  Jiawei Chen; Dayuan Li; Robert Schaefer; Jawahar L Mehta
Journal:  Atherosclerosis       Date:  2005-07-06       Impact factor: 5.162

2.  Deletion of angiotensin-converting enzyme 2 accelerates pressure overload-induced cardiac dysfunction by increasing local angiotensin II.

Authors:  Koichi Yamamoto; Mitsuru Ohishi; Tomohiro Katsuya; Norihisa Ito; Masashi Ikushima; Masaharu Kaibe; Yuji Tatara; Atsushi Shiota; Sumio Sugano; Satoshi Takeda; Hiromi Rakugi; Toshio Ogihara
Journal:  Hypertension       Date:  2006-02-27       Impact factor: 10.190

3.  Status of Hypertension in China: Results From the China Hypertension Survey, 2012-2015.

Authors:  Zengwu Wang; Zuo Chen; Linfeng Zhang; Xin Wang; Guang Hao; Zugui Zhang; Lan Shao; Ye Tian; Ying Dong; Congyi Zheng; Jiali Wang; Manlu Zhu; William S Weintraub; Runlin Gao
Journal:  Circulation       Date:  2018-02-15       Impact factor: 29.690

4.  Association of ACE2 genetic variants with blood pressure, left ventricular mass, and cardiac function in Caucasians with type 2 diabetes.

Authors:  Sheila K Patel; Bryan Wai; Michelle Ord; Richard J MacIsaac; Sharon Grant; Elena Velkoska; Sianna Panagiotopoulos; George Jerums; Piyush M Srivastava; Louise M Burrell
Journal:  Am J Hypertens       Date:  2011-10-13       Impact factor: 2.689

5.  Targeted single nucleotide polymorphism (SNP) discovery in a highly polyploid plant species using 454 sequencing.

Authors:  Peter C Bundock; Frances G Eliott; Gary Ablett; Adam D Benson; Rosanne E Casu; Karen S Aitken; Robert J Henry
Journal:  Plant Biotechnol J       Date:  2009-05       Impact factor: 9.803

6.  Impact of ACE2 gene polymorphism on antihypertensive efficacy of ACE inhibitors.

Authors:  Y Y Chen; D Liu; P Zhang; J C Zhong; C J Zhang; S L Wu; Y Q Zhang; G Z Liu; M He; L J Jin; H M Yu
Journal:  J Hum Hypertens       Date:  2016-04-28       Impact factor: 3.012

7.  Prevalence of Hypertension among Adults in Remote Rural Areas of Xinjiang, China.

Authors:  Yulin Wang; Jingyu Zhang; Yusong Ding; Mei Zhang; Jiaming Liu; Jiaolong Ma; Heng Guo; Yizhong Yan; Jia He; Kui Wang; Shugang Li; Rulin Ma; Bek Murat; Shuxia Guo
Journal:  Int J Environ Res Public Health       Date:  2016-05-24       Impact factor: 3.390

Review 8.  Angiotensin-converting enzyme 2 and angiotensin 1-7: novel therapeutic targets.

Authors:  Fan Jiang; Jianmin Yang; Yongtao Zhang; Mei Dong; Shuangxi Wang; Qunye Zhang; Fang Fang Liu; Kai Zhang; Cheng Zhang
Journal:  Nat Rev Cardiol       Date:  2014-04-29       Impact factor: 49.421

9.  Global, regional, and national age-sex specific mortality for 264 causes of death, 1980-2016: a systematic analysis for the Global Burden of Disease Study 2016.

Authors: 
Journal:  Lancet       Date:  2017-09-16       Impact factor: 79.321

10.  Comparison of Prevalence, Awareness, Treatment, and Control of Cardiovascular Risk Factors in China and the United States.

Authors:  Yuan Lu; Pei Wang; Tianna Zhou; Jiapeng Lu; Erica S Spatz; Khurram Nasir; Lixin Jiang; Harlan M Krumholz
Journal:  J Am Heart Assoc       Date:  2018-01-26       Impact factor: 5.501

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  23 in total

1.  Clinical impact of echocardiography parameters and molecular biomarkers in heart failure: Correlation of ACE2 and MCP-1 polymorphisms with echocardiography parameters: A comparative study.

Authors:  Mălina Suciu-Petrescu; Anamaria Truta; Mihai Domnutiu Suciu; Adrian Pavel Trifa; Denisa Petrescu; Horia Ștefan Roșianu; Octavia Sabin; Daciana Elena Popa; Antonia Eugenia Macarie; Ștefan Cristian Vesa; Anca Dana Buzoianu
Journal:  Exp Ther Med       Date:  2021-04-28       Impact factor: 2.447

2.  Clinical Utility of Amplification Refractory Mutation System-Based PCR and Mutation-Specific PCR for Precise and Rapid Genotyping of Angiotensin-Converting Enzyme 1 (ACE1-rs4646996 D&gt;I) and Angiotensin-Converting Enzyme 2 (ACE2-rs4240157T&gt;C) Gene Variations in Coronary Artery Disease and Their Strong Association with Its Disease Susceptibility and Progression.

Authors:  Aadil Yousif; Rashid Mir; Jamsheed Javid; Jameel Barnawi; Mohammed M Jalal; Malik A Altayar; Salem Owaid Albalawi; Faisel M Abuduhier
Journal:  Diagnostics (Basel)       Date:  2022-05-26

3.  Association investigations between ACE1 and ACE2 polymorphisms and severity of COVID-19 disease.

Authors:  Mojtaba Najafi; Mohammad Reza Mahdavi
Journal:  Mol Genet Genomics       Date:  2022-10-18       Impact factor: 2.980

Review 4.  The Perfect Storm: COVID-19 Health Disparities in US Blacks.

Authors:  Nicole Phillips; In-Woo Park; Janie R Robinson; Harlan P Jones
Journal:  J Racial Ethn Health Disparities       Date:  2020-09-23

5.  Association of KATP Gene Polymorphisms with Dyslipidemia and Ischemic Stroke Risks Among Hypertensive Patients in South China.

Authors:  Cheng Liu; Tianwang Guan; Yanxian Lai; Yan Shen
Journal:  J Mol Neurosci       Date:  2021-01-05       Impact factor: 3.444

Review 6.  Covid-19 infection and the host genetic predisposition: does it exist?

Authors:  A Vašků
Journal:  Physiol Res       Date:  2020-07-16       Impact factor: 1.881

Review 7.  The Two Faces of ACE2: The Role of ACE2 Receptor and Its Polymorphisms in Hypertension and COVID-19.

Authors:  Mira Bosso; Thangavel Alphonse Thanaraj; Mohamed Abu-Farha; Muath Alanbaei; Jehad Abubaker; Fahd Al-Mulla
Journal:  Mol Ther Methods Clin Dev       Date:  2020-06-25       Impact factor: 6.698

8.  ATP-sensitive potassium channels gene polymorphism rs1799858 affects the risk of macro-/micro-vascular arteriosclerotic event in patients with increased low-density lipoprotein cholesterol levels.

Authors:  Cheng Liu; Tianwang Guan; Yanxian Lai; Jieming Zhu; Jian Kuang; Yan Shen
Journal:  Lipids Health Dis       Date:  2020-06-23       Impact factor: 3.876

Review 9.  The Yin and Yang of ACE/ACE2 Pathways: The Rationale for the Use of Renin-Angiotensin System Inhibitors in COVID-19 Patients.

Authors:  Loris Zamai
Journal:  Cells       Date:  2020-07-16       Impact factor: 6.600

10.  Comorbidities in COVID-19: Outcomes in hypertensive cohort and controversies with renin angiotensin system blockers.

Authors:  Awadhesh Kumar Singh; Ritesh Gupta; Anoop Misra
Journal:  Diabetes Metab Syndr       Date:  2020-04-09
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