Abstract
The association of Angiotensin Converting Enzyme (ACE) insertion-deletion (I/D) polymorphism with Type 2 Diabetes Mellitus (T2DM) and hypertension has been extensively studied throughout various ethnic populations but largely with inconsistent findings. We investigated these associations in Emirati population and their interaction with obesity status. Saliva samples were collected from a total of 564 Emiratis (277 T2DM and 297 healthy). DNA was extracted and the samples were genotyped for ACE I/D polymorphism by a PCR based method followed by gel electrophoresis. Upon evaluation of the ACE I/D polymorphism amongst all T2DM, hypertensive patients, and respective controls regardless of obesity status, ACE DD genotype was not found to be associated with either T2DM [odds ratio (OR) = 1.34, p = 0.086] or hypertension [odd ratio (OR) = 1.02, p = 0.93]. When the genetic variants amongst the nonobese and obese population were analyzed separately, the risk genotype ACE DD conferred significantly increased risk of hypertension in nonobese population [odds ratio (OR) = 1.80, p = 0.02] but was found to be protective against the hypertension in the obese group ((OR) = 0.54, p = 0.01). However, there was no effect of obesity status on the association of ACE genotypes with T2DM. The risk of hypertension associated with ACE DD is modulated by obesity status and hence future genetic association studies should take obesity into account for the interpretation of data. We also confirmed that ACE I/D polymorphism is not associated with T2DM risk in Emirati population.
1. Introduction
The clustering of Type 2 Diabetes Mellitus (T2DM), hypertension, and obesity along with dyslipidemia is termed metabolic syndrome which is prevalent in populations of modernized nations. Hypertension is common and is a major risk factor for cardiovascular (CVD) and coronary heart disease, particularly when associated with diabetes [1, 2]. The rising prevalence has been attributed to sedentary lifestyle related factors; however, genetic predisposition may play a vital role in the etiology and manifestation of the disease [3–5]. Recently, an ample amount of studies has focused on genetic variants in Renin-Angiotensin-Aldosterone System (RAAS) in association with the components of metabolic syndrome, especially hypertension and T2DM [6–8]. The association between insulin resistance, hyperinsulinemia, and the RAAS independent of plasma potassium and cortisol levels has been shown [9] and has been implicated in the development of cardiovascular and renal diseases in T2DM [10]. Most of these studies have focused on Angiotensin Converting Enzyme (ACE) that converts less active angiotensin I to more active angiotensin II which mediates a variety of cellular functions in different tissues.
The ACE gene located on chromosome 17q23 is highly polymorphic with an insertion/deletion of a 287-bp element within intron 16 being the most common and most studied polymorphism which results in three genotypes (D/D, I/D, and I/I) [11, 12]. The D allele particularly in homozygous (DD) state is associated with high level of circulating ACE resulting in an increased activity of angiotensin II which may predispose the individual to a variety of disorders including T2DM and hypertension. But a survey of literature showed inconsistencies among the studies on the ACE gene polymorphisms disease outcome. The frequency of D allele varies widely from 0.31–0.35 in Thai and Malaysian population [13, 14] to 0.75 in Arabs [15, 16]. According to International Diabetes Federation (November 14, 2014), the Emirati population is also amongst the populations with one of the highest T2DM prevalence, ranked 16th world wide with 19% of the UAE population living with T2DM; hence, an association between ACE D allele and T2DM could be expected. The association of ACE I/D polymorphism with T2DM risk and related renal and cardiovascular complications has been extensively studied throughout all the major ethnic groups but with highly inconsistent findings. Whereas some have found that the D allele is more common in T2DM and related complications in Tunisian [16], Indian [17], and Iranian populations [18], others have demonstrated no association of either allele with T2DM or related cardiovascular and renal disease in Malay and Indonesians [19–21]. The association between these polymorphisms and the ACE gene is similarly discrepant between its association with hypertension in the Japanese [22] and its nonassociation in the Chinese [23]. These differences are mostly due to multifactorial or polygenic disorders, as evidenced by the varying disease outcomes modulated by the gene-gene or gene-environment interactions. The genetic susceptibility to T2DM has been found to be modulated by obesity status [24]. Insulin resistance related genetic variants were associated with T2DM only in obese population while insulin secretory variants conferred a greater T2DM risk only in nonobese individuals, suggesting potential interaction of these variants with obesity status in T2DM occurrence [24]. Recently, Fujii et al. [25] reported that copresence of abdominal obesity and a high level of high-sensitivity C-reactive protein (hsCRP) are associated with a high risk for new-onset hypertension in the general Japanese population. Previous genome-wide association studies on diabetes, obesity, and hypertension have identified many genetic markers that have significant associations [26–28]. However, most studies reported only a marginal effect of the Single Nucleotide Polymorphism (SNP) on T2DM disease, and very few reported interaction effects [29], either among genes or between genes, and environmental factors such as obesity status. Some studies were conducted to address the gene-gene interactions in T2DM, but nothing significant was discovered [30]. Hence, we hypothesized that genetic associations of the ACE gene with T2DM or hypertension may depend on the obesity status. Our previous study failed to demonstrate any association between the ACE I/D polymorphism and T2DM [31]; therefore, our first objective was to further investigate the relationship between the ACE gene polymorphisms with T2DM risk again, but this time in a much larger and more clinically and biochemically characterized Emirati population, using an improved genotyping method. Second objective was to investigate the association between ACE I/D polymorphism and hypertension risk. These objectives were achieved by determining and comparing the genotypic frequencies of ACE gene I/D polymorphism in obese and nonobese T2DM and hypertension patients.
2. Materials and Methods
2.1. Subjects and Sample Collection
This study was conducted on five hundred and sixty four (n = 564) unrelated Emiratis who were identified during their routine visit to an endocrinology clinic in Dubai and Abu Dhabi, United Arab Emirates, between the period of June 2012 and Dec 2013 and agreed to take part in this study by signing informed consents that had been IRB approved. The case group of 277 Type 2 Diabetes Mellitus patients (180 hypertensive and 97 normotensive) had a mean age of 58 ± 12 years and consisted of 58.5% females. The control group consisted of 297 nondiabetics individuals (55 hypertensive and 236 normotensive) who had mean age of 45 ± 16 years and consisted of 49.2% females. All participants gave their informed consent in writing. There were several inclusion and exclusion criteria used in this study. Inclusion criteria include being UAE national, diagnosed with T2DM, healthy individuals, able to give consent, and above 18 years old. Exclusion criteria include being non-UAE national, pregnant female, not be able to consent, and less than 18 years old. This study was approved by the ethics committees of the Dubai Health Authority and Mafraq Hospital Research in the United Arab Emirates.
After providing informed consent, a registered nurse asked each participant to deliver 1 mL of saliva into an Oragene kit OGR-500 (DNA Genotek, Ottwa, Canada) for DNA samples. In addition, clinical assessments and lifestyle questionnaire were completed at the clinic to study any correlation between lifestyle variables and genetic variation. An individual was classified as T2DM if the subject (1) was diagnosed with T2DM by a qualified physician, (2) was on a prescribed drug treatment regimen for T2DM, and (3) returned biochemical test results of a fasting plasma glucose level of at least 126 mg/dL based on the criteria outlined by the World Health Organization (WHO) consultation group report [32]. The individuals with BMI more than 30 were considered obese and those with a BMI less than 30 were grouped into the nonobese population. According to JNC 8 classification, all the individuals with blood pressure more than 140/90 mmHg were considered hypertensive [33]. The saliva samples were preserved for DNA extraction and genotyping. The genomic DNA was extracted from saliva using prepITTM·L2P (DNA Genotek, Ottwa, Canada) in accordance with the manufacturer's instructions.
2.2. PCR Based Genotyping for ACE I/D Polymorphism
The genotyping for the insertion in intron 16 of ACE gene was performed by two subsequent PCR reactions using the primers and PCR cycling conditions described by Lovati et al. [34]. In brief, the first PCR was done in a 50 μL reaction mixture containing 1x PCR Taq buffer (Applied Biosystems), 3 mM MgCl2, 0.2 mM of dNTPs (Fermentas), 1 μM of each reverse and forward primer (Sigma-Aldrich), 1.5 U Taq DNA polymerase (Applied Biosystems), and approximately 100 ng DNA. After initial denaturation at 95°C for 5 min, the thermocycling procedure consisted of denaturation at 95°C for 30 s, annealing at 59°C for 45 s, and extension at 72°C for 30 s, repeated for 35 cycles and followed by a final extension at 72°C for 10 min. The ACE DD genotypes were confirmed by subjecting to a second independent PCR using the primers that recognize an insertion-specific sequence. The reaction mixture was prepared as described for the first PCR and the thermal cycling conditions were as follows: 35 cycles of 94°C for 30 sec, 67°C for 45 sec, and 72°C for 120 sec. All PCR reactions took place in Veriti 96-well thermocyclers (Applied Biosystems). PCR products were separated on 2% agarose gels and visualized by ethidium bromide staining under UV transilluminator.
The first PCR reaction yields a 190 bp fragment in the absence of insertion (D allele) and a 490 bp fragment in the presence of insertion (I allele). The samples that demonstrated only the D allele (DD genotypes) were further analyzed as described above. In case of mistyping, a 335 bp product was identified as a result of second PCR in those samples that hence were considered heterozygotes (ID genotypes), while no band was detected when the DD genotyping was correct.
2.3. Statistical Analysis
Data from normally distributed parameters are presented as means ± SD. Differences in the genotype and allele frequencies between the different groups were analyzed using the Fisher exact test and odds ratios with 95% CIs. The genotype frequencies were tested for the Hardy-Weinberg equilibrium using a χ 2 test. Only one gene transmission model, that is, recessive effect (DD versus ID + II) of the D allele, was tested. The association was evaluated by Chi square test followed by logistic regression. A p value of <0.05 was considered for statistical significance. The interaction of ACE genotypes (II, ID, and DD), age, BMI, and gender and the relationship of DD with either T2DM or hypertension were also evaluated with logistic regression using the two by four tables. Differences in biochemical parameters between different groups and between the genotypes were examined using Student's t-test.
3. Results
The demographic characteristics and clinical and biochemical parameters of T2DM patients and healthy control patients are described in Table 1. The mean age and male/female ratios significantly differed in the affected individuals and healthy controls. The cases were significantly older than the controls (58 years ± 12 versus 45 years ± 16, p < 0.001); their mean BMI, lipid profile, and blood pressure levels were also significantly different (Table 1). However, no significant differences were observed in these parameters between different ACE genotypes (DD versus II + ID) except that HBA1c was slightly higher in the subjects with DD genotypes (7.36 versus 6.92 mmol/L, p = 0.028) (Table 2).
Table 1.
Population demographics | |||
---|---|---|---|
T2DM cases n = 277 |
Nondiabetic controls n = 297 |
p ∗ | |
Age (years) | 58 ± 12 | 45 ± 16 | <0.0001 |
Male : female ratio | 115 : 162 | 151 : 146 | 0.02 |
Number of hypertensive | 180 | 55 | |
Number of Normotensive | 97 | 236 | |
BMI | 31.93 ± 6.3 | 28.57 ± 6.23 | <0.0001 |
Fasting glucose (mmol/L) | 8.99 ± 7.23 | 5.63 ± 7.23 | <0.0001 |
Systolic blood pressure | 129.97 ± 17.24 | 122.50 ± 15.65 | <0.0001 |
Diastolic blood pressure | 70.0 ± 11.0 | 71.35 ± 11.45 | 0.6197 |
HBA1c (mmol/L) | 7.6 ± 1.6 | 5.59 ± 0.56 | <0.0001 |
Data shown is mean ± SD unless specified otherwise, ∗Student's t-test.
Table 2.
Genotypes | HBA1c (mmol/L) |
BMI (Kg/m2) |
SBP (mmHg) |
DBP (mmHg) |
---|---|---|---|---|
DD | 7.36 ± 1.81 | 31.0 ± 6.70 | 127.1 ± 17.3 | 69.88 ± 10.76 |
II + ID | 6.92 ± 1.57 | 30.9 ± 6.30 | 126.7 ± 16.8 | 71.36 ± 11.90 |
p ∗ | 0.028 | 0.924 | 0.830 | 0.205 |
Data shown is mean ± SD unless specified otherwise, ∗Student's t-test.
3.1. Allele and Genotype Frequency Distribution of ACE I/D Polymorphism and Association with T2DM
3.1.1. All Nondiabetics and T2DM Individuals regardless of Obesity Status
The frequencies of ACE II genotype were significantly higher in controls than the T2DM cases (10.8% versus 1.4%, p = 0.001). ACE DD and ID genotype frequencies were 44.8 and 53.8%, respectively, in T2DM group and 37.7 and 51.5%, respectively, in controls regardless of obesity status (Table 3). The frequency of D allele was 0.72 (72%) in T2DM patients, significantly higher than 0.63 (63%) in healthy individuals (p = 0.0037), but the carriers of DD genotype were not significantly associated with T2DM risk [OR = 1.34 (0.96–1.87), p = 0.086] (Table 3). The genotype distributions were in Hardey-Weinberg equilibrium in the nondiabetic control group (p = 0.054).
Table 3.
Frequency distribution | ||||||
---|---|---|---|---|---|---|
T2DM | Hypertension | |||||
Cases (N = 277) | Controls (N = 297) | p ∗ | Cases (N = 235) | Controls (N = 333) | p ∗ | |
Genotypes | ||||||
DD | 124 (44.8%) | 112 (37.7%) | 0.09†
<0.0001‡ |
98 (41.7%) | 136 (40.8%) | 0.86†
<0.0001‡ |
ID | 149 (53.8%) | 153 (51.5%) | 135 (57.4%) | 163 (48.9%) | ||
II | 4 (1.4%) | 32 (10.8) | 2 (0.9%) | 34 (10.3%) | ||
Allele frequencies | ||||||
D | 0.72 | 0.63 | 0.0037 | 0.70 | 0.65 | 0.07 |
I | 0.28 | 0.37 | 0.30 | 0.35 |
Data shown are numbers and percentages in parentheses unless specified otherwise, ∗Fisher exact test. ‡II versus ID + DD, †DD versus ID + II.
3.1.2. ACE I/D and T2DM Association in Obese and Nonobese Population
Allele and genotype frequency distribution for ACE polymorphism analyzed separately for obese and nonobese individuals for T2DM showed no significant differences when compared with the group as a whole without stratifying by obesity status. There were no significant differences in DD frequency between cases and control in the nonobese or obese population (Table 4).
Table 4.
Association based on obesity status | |||||||
---|---|---|---|---|---|---|---|
Obesity status | ACE genotype | Groups | Logistic regression | ||||
Cases | Control | p ∗ | OR (95% CI) | p | |||
T2DM | All together | DD | 124 | 112 | 0.09 | 1.34 (0.96–1.87) | 0.086 |
ID + II | 153 | 185 | |||||
Obese (BMI > 30) | DD | 66 | 38 | 0.30 | 1.34 (0.81–2.23) | 0.26 | |
ID + II | 88 | 68 | |||||
Nonobese (BMI < 30) | DD | 53 | 68 | 0.18 | 1.41 (0.88–2.28) | 0.15 | |
ID + II | 59 | 107 | |||||
| |||||||
Hypertension | All together | DD | 98 | 136 | 0.86 | 1.02 (0.72–1.42) | 0.93 |
ID + II | 137 | 197 | |||||
Obese (BMI > 30) | DD | 50 | 53 | 0.02 | 0.54 (0.33–0.89) | 0.01 | |
ID + II | 116 | 67 | |||||
Nonobese (BMI < 30) | DD | 46 | 75 | 0.03 | 1.80 (1.08–2.99) | 0.02 | |
ID + II | 41 | 120 |
Data shown are numbers unless specified otherwise, ∗Fisher exact test.
All together means obese + nonobese and others about whom information on obesity status was not available.
3.2. Allele and Genotype Frequency Distribution of ACE I/D Polymorphism and Association with Hypertension
3.2.1. Regardless of Obesity Status
The frequencies of ACE DD genotypes were 41.7 and 40.8%, respectively, in hypertensive cases and normotensive controls regardless of obesity and T2DM status (Table 3). The differences were not statistically significant (p = 0.86) indicating no association of ACE DD genotypes with hypertension. However, the frequency of ACE II genotype was significantly higher in control group (10.3 versus 0.9%, p < 0.001) (Table 3). The genotype distributions were in Hardey-Weinberg equilibrium in the normotensive control group (p = 0.14).
3.2.2. Hypertension and ACE I/D Association Based on Obesity Status
When we assessed the ACE I/D variant amongst the obese and nonobese population separately, the frequency of DD genotype was found to be significantly higher in the normotensive group (30 versus 44%, p = 0.02) than in the hypertensive obese individuals but its frequency was higher in the hypertensive nonobese individuals (p = 0.03) (Table 4) indicating that the association of ACE I/D polymorphism with hypertension is dependent on obesity status. The risk genotype DD conferred significantly greater hypertension risk (OR 1.80 (95% CI 1.0–2.99), p = 0.02) in the nonobese group (Table 4).
4. Discussion
The RAS plays a fundamental role in controlling blood pressure and each component of it has been shown to be involved in the pathogenesis of primary hypertension. This is best illustrated by the fact that ACE and other RAS inhibitors may reduce the risk from CVDs. In addition, the RAS may also affect other aspects of the pathogenesis of the metabolic syndrome such as atherosclerosis and insulin resistance [33, 34], both of which are reported to be reduced by ACE inhibitors. It has been suggested that activation of RAS through insulin resistance may cause the development of dyslipidemia and diabetes which was supported by finding that ACE inhibitors were able to reduce the lipolysis induced by insulin resistance in adipose tissues of centrally obese hypertensive individuals [35]. In addition, I allele of ACE I/D polymorphism was found to be associated with increased indexes of insulin resistance in nondiabetic Caucasians and Africans [36, 37]. So we hypothesized that T2DM may be a result of complex interplay among polymorphism in ACE genes, hypertension, and obesity, even though in our previous study we were not able to correlate the ACE I/D polymorphism alone with the T2DM risk [31]. However, we had certain limitations in that study related to sample size, lack of biochemical and clinical characterization of patients, and ACE I/D genotyping technique. We planned this study with a large and a very well defined population to evaluate the association of ACE polymorphism with T2DM and hypertension in the presence and absence of obesity.
The results suggested that there was no association between ACE DD genotype and T2DM. Although we observed a significantly high frequency of II genotype in the nondiabetic individuals, it did not reach statistical significance possibly because of very small numbers of II genotypes in each group. The genotype and allele frequencies were in concordance with previous reports in Emirati and other Arab populations [15, 16, 38]. The association of DD genotype with increased T2DM risk was also reported in Tunisians [16] and Iranians [18]. The variants of genes like PPARG, ADIPOQ, and ENPP1 which act at the level of insulin resistance have been shown to increase the risk of T2DM only in obese populations [39–41] and hence it has been suggested that T2DM risk contribution of gene polymorphism may be modulated by obesity status. While obesity has been strongly associated with increased insulin resistance [42] and ACE being one of the factors associated with insulin resistance as discussed elsewhere, variants like ACE D allele may be expected to more significantly modulate T2DM risk in obese subjects. In our previous study [31], the data about obesity status was not available and therefore it is possible that the participants in our previous study were mainly nonobese, such that we did not find an association of ACE I/D polymorphism with T2DM. Moreover, in the present study, the DD genotypes were confirmed by an additional confirmatory PCR that resulted in more accurate distribution of ACE genotypes. In the metabolic syndrome, hypertension is clustered with diabetes [43], the development of which in the presence or absence of diabetes may result from a different kind of interaction between RAS gene polymorphisms and obesity. It was therefore important to assess the association of ACE I/D polymorphism with hypertension in diabetic and nondiabetic groups separately. Our study did not find any association of ACE I/D polymorphism with hypertension in combined diabetic and nondiabetic hypertensive patients versus nonhypertensive controls (Tables 3 and 4). However, when the association was analyzed based on obesity status, we found significantly higher ACE DD genotype frequency in the hypertensive groups and an increased risk associated with it in the nonobese hypertensive group but not in the obese hypertensive group. Interestingly, DD genotype was found to be protective against hypertension in the individuals with BMI more than 30.
This novel finding suggests that hypertension risk, as conferred by ACE I/D polymorphism, may also be modified by the presence or absence of obesity. Our results illustrate the importance of obesity in genetic association studies. We also provide important clues that might help explain part of the difficulties encountered in replication studies of this kind resulting in inconsistent findings. Our study also highlights obesity as an important modulator of ACE polymorphism, suggesting that future genetic association studies for hypertension should take obesity status into account when interpreting data.
The limitations of our study include the smaller sample size in the obese and nonobese subgroups created to study the association of ACE DD genotype with T2DM and hypertension. Residual confounding by the severity of diabetes might have come into play because patients with DD had a higher hemoglobin A1c (HbA1c) (Table 2). However, we performed accurate genotyping by confirmatory PCR and because the genotype distributions were in Hardy-Weinberg equilibrium in the control groups, the possibility of selection bias was also reduced.
In summary, in our study, we did not find ACE I/D polymorphism to be related to T2DM in the Emirati population. Notably, we found that the significant association between ACE DD genotype and hypertension was obesity status dependent. Therefore, we highlight the need for future genetic association studies for hypertension to consider obesity an important variable when analyzing results. The future will rely on more gene based modulation of disease and gene directed therapy; consequently, the importance of understanding the various modulators in chronic disease processes like hypertension and diabetes cannot be overemphasized and will increasingly rely on genetic studies with large sample sizes.
Acknowledgments
The authors gratefully acknowledge the volunteers whose cooperation made this study possible. The authors also would like to thank Deeptha Murall from Manipal University in Dubai for her specific technical support that has allowed for the statistical work to be carried out for this study. Funding for this project was provided by Khalifa University through Khalifa Internal Research Fund.
Conflict of Interests
All the authors declare no conflict of interests.
Authors' Contribution
Drs. Alsafar, Hassoun, and Rais have designed the study, prepared the manuscript, and performed all the data analyses with assistance from coauthors. Specifically, Ms Almazrouei and Kamal performed all laboratory work in Molecular Cell Biology Laboratory at Khalifa University, Drs Hassoun and Almaini provided endless support in recruiting volunteers at Dubai Diabetes Clinic and Mafraq Hospital, and Dr Odama conscientiously worked on paper preparation.
References
- 1.Chan J. C. N., Cockram C. S. Diabetes in the Chinese population and its implications for health care. Diabetes Care. 1997;20(11):1785–1790. doi: 10.2337/diacare.20.11.1785. [DOI] [PubMed] [Google Scholar]
- 2.Thomas G. N., Young R. P., Tomlinson B., et al. A sibling-pair analysis of fasting lipids and anthropometric measurements and their relationship to hypertension. Clinical and Experimental Hypertension. 1999;21(7):1161–1176. doi: 10.3109/10641969909052195. [DOI] [PubMed] [Google Scholar]
- 3.Flores-Martínez S. E., Islas-Andrade S., MacHorro-Lazo M. V., et al. DNA polymorphism analysis of candidate genes for type 2 diabetes mellitus in a Mexican ethnic group. Annales de Genetique. 2004;47(4):339–348. doi: 10.1016/j.anngen.2004.05.004. [DOI] [PubMed] [Google Scholar]
- 4.Radha V., Mohan V. Genetic predisposition of type 2 diabetes among Asian Indians. Indian Journal of Medical Research. 2007;125(3):259–274. [PubMed] [Google Scholar]
- 5.Elbein S. C. The genetics of human noninsulin-dependent (type 2) diabetes mellitus. Journal of Nutrition. 1997;127(9):1891S–1896S. doi: 10.1093/jn/127.9.1891S. [DOI] [PubMed] [Google Scholar]
- 6.Ichikawa M., Konoshita T., Nakaya T., et al. Genetic variant of the renin-angiotensin system and prevalence of type 2 diabetes mellitus: a modest but significant effect of aldosterone synthase. Acta Diabetologica. 2014;51(4):595–599. doi: 10.1007/s00592-014-0561-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Shaikh R., Shahid S. M., Mansoor Q., Ismail M., Azhar A. Genetic variants of ACE (insertion/deletion) and AGT (M268T) genes in patients with diabetes and nephropathy. Journal of the Renin-Angiotensin-Aldosterone System. 2014;15(2):124–130. doi: 10.1177/1470320313512390. [DOI] [PubMed] [Google Scholar]
- 8.Al-Rubeaan K., Siddiqui K., Saeb A. T. M., Nazir N., Al-Naqeb D., Al-Qasim S. ACE I/D and MTHFR C677T polymorphisms are significantly associated with type 2 diabetes in Arab ethnicity: a meta-analysis. Gene. 2013;520(2):166–177. doi: 10.1016/j.gene.2013.02.017. [DOI] [PubMed] [Google Scholar]
- 9.Colussi G., Catena C., Lapenna R., Nadalini E., Chiuch A., Sechi L. A. Insulin resistance and hyperinsulinemia are related to plasma aldosterone levels in hypertensive patients. Diabetes Care. 2007;30(9):2349–2354. doi: 10.2337/dc07-0525. [DOI] [PubMed] [Google Scholar]
- 10.McFarlane S. I., Sowers J. R. Aldosterone function in diabetes mellitus: effects on cardiovascular and renal disease. Journal of Clinical Endocrinology and Metabolism. 2003;88(2):516–523. doi: 10.1210/jc.2002-021443. [DOI] [PubMed] [Google Scholar]
- 11.Rigat B., Hubert C., Corvol P., Soubrier F. PCR detection of the insertion/deletion polymorphism of the human angiotensin converting enzyme gene (DCP1) (dipeptidyl carboxypeptidase 1) Nucleic Acids Research. 1992;20(6, article 1433) doi: 10.1093/nar/20.6.1433-a. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Tiret L., Bonnardeaux A., Poirier O., et al. Synergistic effects of angiotensin-converting enzyme and angiotensin-II type 1 receptor gene polymorphisms on risk of myocardial infarction. The Lancet. 1994;344(8927):910–913. doi: 10.1016/s0140-6736(94)92268-3. [DOI] [PubMed] [Google Scholar]
- 13.Nitiyanant W., Sriussadaporn S., Ploybutr S., Watanakejorn P., Tunlakit M., Bejrachandra S. Angiotensin converting enzyme gene polymorphism in healthy Thais and patients with non-insulin dependent diabetes mellitus. Journal of the Medical Association of Thailand. 1997;80(12):747–752. [PubMed] [Google Scholar]
- 14.Jayapalan J. J., Muniandy S., Chan S. P. Angiotensin-1 converting enzyme I/D gene polymorphism: scenario in Malaysia. Southeast Asian Journal of Tropical Medicine and Public Health. 2008;39(5):917–921. [PubMed] [Google Scholar]
- 15.Bayoumi R. A., Simsek M., Yahya T. M., et al. Insertion-deletion polymorphism in the angiotensin-converting enzyme (ACE) gene among Sudanese, Somalis, Emiratis, and Omanis. Human Biology. 2006;78(1):103–108. doi: 10.1353/hub.2006.0022. [DOI] [PubMed] [Google Scholar]
- 16.Baroudi T., Bouhaha R., Moran-Moguel C., et al. Association of the insertion/deletion polymorphism of the angiotensin-converting enzyme gene with type 2 diabetes in two ethnic groups of Jerba Island in Tunisia. Journal of the Renin-Angiotensin-Aldosterone System. 2009;10(1):35–40. doi: 10.1177/1470320309102314. [DOI] [PubMed] [Google Scholar]
- 17.Naresh V. V. S., Reddy A. L. K., Sivaramakrishna G., Sharma P. V. G. K., Vardhan R. V., Siva Kumar V. Angiotensin converting enzyme gene polymorphism in type II diabetics with nephropathy. Indian Journal of Nephrology. 2009;19(4):145–148. doi: 10.4103/0971-4065.59335. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Nikzamir A., Nakhjavani M., Golmohamadi T., Dibai L. Association of angiotensin-converting enzyme gene insertion/deletion polymorphism with metabolic syndrome in Iranians with type 2 diabetes mellitus. Archives of Iranian Medicine. 2008;11(1):3–9. [PubMed] [Google Scholar]
- 19.Sinorita H., Madiyan M., Pramono R. B., Purnama L. B., Ikhsan M. R., Asdie A. H. ACE gene insertion/deletion polymorphism among patients with type 2 diabetes, and its relationship with metabolic syndrome at Sardjito Hospital Yogyakarta, Indonesia. Acta Medica Indonesiana. 2010;42(1):12–16. [PubMed] [Google Scholar]
- 20.Jayapalan J. J., Muniandy S., Chan S. P. Null association between ACE gene I/D polymorphism and diabetic nephropathy among multiethnic Malaysian subjects. Indian Journal of Human Genetics. 2010;16:78–86. doi: 10.4103/0971-6866.69351. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Ramachandran V., Ismail P., Stanslas J., Shamsudin N. Analysis of renin-angiotensin aldosterone system gene polymorphisms in malaysian essential hypertensive and type 2 diabetic subjects. Cardiovascular Diabetology. 2009;8, article 11 doi: 10.1186/1475-2840-8-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Morise T., Takeuchi Y., Takeda R. Angiotensin-converting enzyme polymorphism and essential hypertension. The Lancet. 1994;343(8889):125–130. doi: 10.1016/s0140-6736(94)90859-1. [DOI] [PubMed] [Google Scholar]
- 23.Chiang F.-T., Lai Z.-P., Chern T.-H., et al. Lack of association of the angiotensin converting enzyme gene polymorphism with essential hypertension in a Chinese population. American Journal of Hypertension. 1997;10(2):197–201. doi: 10.1016/S0895-7061(96)00345-7. [DOI] [PubMed] [Google Scholar]
- 24.Cauchi S., Nead K. T., Choquet H., et al. The genetic susceptibility to type 2 diabetes may be modulated by obesity status: implications for association studies. BMC Medical Genetics. 2008;9, article 45 doi: 10.1186/1471-2350-9-45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Fujii M., Ohnishi H., Saitoh S., Akasaka H., Miura T., Mori M. The combination of abdominal obesity and high-sensitivity C-reactive protein predicts new-onset hypertension in the general Japanese population: the Tanno-Sobetsu study. Hypertension Research. 2015;38(6):426–432. doi: 10.1038/hr.2015.27. [DOI] [PubMed] [Google Scholar]
- 26.Ng M. C. Y., Park K. S., Oh B., et al. Implication of genetic variants near TCF7L2, SLC30A8, HHEX, CDKAL1, CDKN2A/B, IGF2BP2, and FTO in type 2 diabetes and obesity in 6,719 Asians. Diabetes. 2008;57(8):2226–2233. doi: 10.2337/db07-1583. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Scheffold T., Kullmann S., Huge A., et al. Six sequence variants on chromosome 9p21.3 are associated with a positive family history of myocardial infarction: a multicenter registry. BMC Cardiovascular Disorders. 2011;11, article 9 doi: 10.1186/1471-2261-11-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Vaxillaire M., Veslot J., Dina C., et al. Impact of common type 2 diabetes risk polymorphisms in the DESIR prospective study. Diabetes. 2008;57(1):244–254. doi: 10.2337/db07-0615. [DOI] [PubMed] [Google Scholar]
- 29.Neuman R. J., Wasson J., Atzmon G., et al. Gene-gene interactions lead to higher risk for development of type 2 diabetes in an Ashkenazi Jewish population. PLoS ONE. 2010;5(3) doi: 10.1371/journal.pone.0009903.e9903 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Wu Y., Li H. X., Loos R. J. F., et al. Common variants in CDKAL1, CDKN2A/B, IGF2BP2, SLC30A8, and HHEX/IDE genes are associated with type 2 diabetes and impaired fasting glucose in a Chinese Han population. Diabetes. 2008;57(10):2834–2842. doi: 10.2337/db08-0047. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Al-Safar H., Pillai S. S., Abood L. J., et al. Interaction between angiotensin converting enzyme (ACE) insertion/deletion and aldosterone synthase (CYP11B2) -344C/T polymorphisms in relation to type 2 diabetes mellitus risk in Emiratis. International Journal of Genetics and Molecular Biology. 2013;5(2):20–27. doi: 10.5897/ijgmb2013.0068. [DOI] [Google Scholar]
- 32.Alberti K. G. M. M., Zimmet P. Z. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus. Provisional report of a WHO consultation. Diabetic Medicine. 1998;15(7):539–553. doi: 10.1002/(sici)1096-9136(199807)15:7lt;539::aid-dia668>3.0.co;2-s. [DOI] [PubMed] [Google Scholar]
- 33.James P. A., Oparil S., Carter B. L. 2014 evidence-based guideline for the management of high blood pressure in adults report from the panel members appointed to the eighth joint national committee (JNC 8) JAMA: The Journal of the American Medical Association. 2014;311(5):507–520. doi: 10.1001/jama.2013.284427. [DOI] [PubMed] [Google Scholar]
- 34.Lovati E., Richard A., Frey B. M., Frey F. J., Ferrari P. Genetic polymorphisms of the renin-angiotensin-aldosterone system in end-stage renal disease. Kidney International. 2001;60(1):46–54. doi: 10.1046/j.1523-1755.2001.00769.x. [DOI] [PubMed] [Google Scholar]
- 35.Ferrannini E., Seghieri G., Muscelli E. Insulin and the renin-angiotensin-aldosterone system: influence of ACE inhibition. Journal of Cardiovascular Pharmacology. 1994;24(supplement 3):S61–S69. doi: 10.1097/00005344-199400243-00010. [DOI] [PubMed] [Google Scholar]
- 36.Ambrosioni E., Bacchelli S., Esposti D. D., Borghi C. ACE-inhibitors and atherosclerosis. European Journal of Epidemiology. 1992;8(1):129–133. doi: 10.1007/bf00145364. [DOI] [PubMed] [Google Scholar]
- 37.Hennes M. M. I., O'Shaughnessy I. M., Kelly T. M., LaBelle P., Egan B. M., Kissebah A. H. Insulin-resistant lipolysis in abdominally obese hypertensive individuals: role of the renin-angiotensin system. Hypertension. 1996;28(1):120–126. doi: 10.1161/01.hyp.28.1.120. [DOI] [PubMed] [Google Scholar]
- 38.Salem A. H., Batzer M. A. High frequency of the D allele of the angiotensin-converting enzyme gene in Arabic populations. BMC Research Notes. 2009;2, article 99 doi: 10.1186/1756-0500-2-99. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Deeb S. S., Fajas L., Nemoto M., et al. A Pro12Ala substitution in PPARγ2 associated with decreased receptor activity, lower body mass index and improved insulin sensitivity. Nature Genetics. 1998;20(3):284–287. doi: 10.1038/3099. [DOI] [PubMed] [Google Scholar]
- 40.Yamauchi T., Kamon J., Waki H., et al. The fat-derived hormone adiponectin reverses insulin resistance associated with both lipoatrophy and obesity. Nature Medicine. 2001;7(8):941–946. doi: 10.1038/90984. [DOI] [PubMed] [Google Scholar]
- 41.Maddux B. A., Goldfine I. D. Membrane glycoprotein PC-1 inhibition of insulin receptor function occurs via direct interaction with the receptor alpha-subunit. Diabetes. 2000;49(1):13–19. doi: 10.2337/diabetes.49.1.13. [DOI] [PubMed] [Google Scholar]
- 42.Kahn S. E., Hull R. L., Utzschneider K. M. Mechanisms linking obesity to insulin resistance and type 2 diabetes. Nature. 2006;444(7121):840–846. doi: 10.1038/nature05482. [DOI] [PubMed] [Google Scholar]
- 43.Thomas G. N., Tomlinson B., Chan J. C. N., Sanderson J. E., Cockram C. S., Critchley J. A. J. H. Renin-angiotensin system gene polymorphisms, blood pressure, dyslipidemia, and diabetes in Hong Kong Chinese. Diabetes Care. 2001;24:356–361. doi: 10.2337/diacare.24.2.356. [DOI] [PubMed] [Google Scholar]