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Diabetes Care 25:1002-1008, 2002
© 2002 by the American Diabetes Association, Inc.


Epidemiology/Health Services/Psychosocial Research
Original Article

ACE Gene Insertion/Deletion Polymorphism Associated With 1998 World Health Organization Definition of Metabolic Syndrome in Chinese Type 2 Diabetic Patients

Yau-Jiunn Lee, MD, PHD and Jack C.R. Tsai, MD

Department of Clinical Research, Pingtung Christian Hospital, Pingtung, Taiwan


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 RESEARCH DESIGN AND METHODS
 RESULTS
 CONCLUSIONS
 References
 
OBJECTIVE—Because ACE insertion/deletion (I/D) polymorphism has been shown to be associated with diabetes, hypertension, coronary artery diseases, and diabetic nephropathy, and because plasma ACE concentration has been found to be associated with plasma triglyceride and total cholesterol levels in patients with type 2 diabetes, the goal of this study was to investigate whether ACE gene I/D polymorphism is associated with metabolic syndrome in Chinese subjects with type 2 diabetes.

RESEARCH DESIGN AND METHODS—A total of 711 patients with type 2 diabetes and 750 control subjects were studied. The ACE I/D polymorphism was determined by PCR. The definition and criteria of metabolic syndrome used in this study matched those proposed in the 1998 World Health Organization classification.

RESULTS—Of 711 patients with type 2 diabetes, 534 (75.1%) fulfilled the criteria for metabolic syndrome. The prevalence of metabolic syndrome in control subjects with II, ID, and DD genotype was 9.4, 11.5, and 15.4%, respectively, and in patients with type 2 diabetes, it was 68.6, 79.2, and 86.1%, respectively. The ACE I/D polymorphism was significantly associated with the syndrome in patients with type 2 diabetes (P = 0.001). When pooling the control subjects with diabetic patients, the prevalence of metabolic syndrome in the whole study group with II, ID, and DD genotype was 37.9, 44.5, and 51.0%, respectively, and ACE I/D polymorphism was still significantly associated with metabolic syndrome (P = 0.003). Diabetic patients with DD genotype were also found to have a higher prevalence of dyslipidemia (II/ID/DD = 43.1/53.1/65.8%, P < 0.001) and albuminuria (36.0/44.6/50.6%, P = 0.018) and to have higher serum triglyceride levels (II, ID, and DD = 155 ± 114, 170 ± 140, and 199 ± 132 mg/dl, respectively, P < 0.05). Control subjects with DD genotype were also found to have a higher prevalence of albuminuria or more advanced nephropathy (II/ID/DD = 5.7/14.0/15.4%, P = 0.001), whereas the prevalence of dyslipidemia was not found to be statistically different in the control group. When pooling control with diabetic subjects, ACE genotype could still be significantly associated with dyslipidemia (II/ID/DD = 34.7/41.3/52.2%, P < 0.001) and albuminuria or more advanced nephropathy (20.3/28.9/33.1%, P < 0.001). Diabetic patients with metabolic syndrome were found to have higher serum uric acid levels than those without metabolic syndrome (6.4 ± 1.8 vs. 5.3 ± 1.4 mg/dl, P < 0.01).

CONCLUSIONS—The ACE I/D polymorphism was found to be associated with metabolic syndrome in Chinese patients with type 2 diabetes. This finding may provide genetic evidence to explain the clustering of metabolic syndrome and suggests that the renin-angiotensin system is involved in the pathophysiology of metabolic derangement in patients with type 2 diabetes.

Abbreviations: HOPE, Heart Outcomes Prevention Evaluation • RAS, renin-angiotensin system • WHO, World Health Organization • WHR, waist-to-hip ratio


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 RESEARCH DESIGN AND METHODS
 RESULTS
 CONCLUSIONS
 References
 
Epidemiological studies confirm that the clustering of glucose intolerance, hypertension, abdominal obesity, and dyslipidemia, known as metabolic syndrome, occurs together commonly in certain people (1). A wide variety of ethnic groups, including Europids, African-Americans, Asian Indians and Chinese, Australian Aborigines, Polynesians, and Micronesians, have been found to have such clusterings (2). In 1988, Reaven (1) focused on this cluster, naming it "syndrome X", with insulin resistance possibly being the common etiological factor of the individual components of the syndrome (3,4). In 1998, the World Health Organization (WHO) proposed a unifying definition for the syndrome and chose to call it "metabolic syndrome" rather than "insulin-resistance syndrome" (5). In 1999, Hansen (6) chose the term "metabolic syndrome X" to describe the clustering of cardiovascular risk factors in honor of the term used in Reaven’s articulate description.

Using the 1998 WHO proposed definition of metabolic syndrome, studies of a Scandinavian population revealed that ~10% of those with normal glucose tolerance, 50% of those with impaired glucose tolerance, and 80% of type 2 diabetic patients had metabolic syndrome (7,8). Moreover, it has also been found that the presence of metabolic syndrome is associated with a threefold increased risk of coronary heart disease, myocardial infarction, and stroke and a three- to fivefold increased risk of cardiovascular death (9,10).

Metabolic syndrome is believed to be attributable to the collective effect of genetic predisposing factors in combination with specific environmental factors, such as diet and stress. There are several candidate genes involved in metabolic syndrome, including the genes for the ß2- and ß3-adrenergic receptor, lipoprotein lipase, hormone-sensitive lipase, peroxisome proliferator–activated receptor-{gamma}, insulin receptor substrate-1, and glycogen synthase (8).

The renin-angiotensin system (RAS) has long been known to be an important regulator of blood pressure and renal electrolyte homeostasis, and this system has also been implicated in the pathological changes of organ damage through modulation of gene expression, growth, fibrosis, and inflammatory response (11,12). Studies have also demonstrated that ACE insertion/deletion (I/D) polymorphism is associated with diabetes (13), hypertension (14), coronary heart disease (15,16), and diabetic nephropathy (13,17). In a study of Pima Indians, Nagi et al. (18) revealed that plasma ACE concentrations were associated with plasma triglyceride and total cholesterol levels. Recently, several components of the RAS were detected in adipose tissue, and local RAS may be involved in the regulation of adipose tissue physiology and possibly in the pathophysiology of obesity and obesity-associated hypertension (19). Therefore, ACE might be a good candidate gene for metabolic syndrome. This study was designed to investigate whether ACE I/D polymorphism is associated with metabolic syndrome in Chinese subjects with type 2 diabetes.


    RESEARCH DESIGN AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 RESEARCH DESIGN AND METHODS
 RESULTS
 CONCLUSIONS
 References
 
From February 1998 to February 2001, 711 patients with type 2 diabetes who consecutively attended the diabetes clinic at Pingtung Christian Hospital were studied. The diagnosis of type 2 diabetes was based on the WHO criteria (5). The control subjects were unrelated patients who entered the health examination program of the hospital. Each received a detailed interview about personal disease history and smoking history. All study subjects were of Han Chinese origin, without any known ancestors of other ethnic origin, and were living in the same region at the time of study. This study was approved by the human research ethics committee of our hospital, and informed consent was obtained from each patient. All patients underwent complete physical examinations and routine biochemical analyses of blood and urine as well as an assessment of the presence and extent of macrovascular or microvascular diabetic complications. The anthropometric parameters required to calculate BMI and waist-to-hip ratio (WHR) were measured. Seated blood pressure, plasma biochemical parameters, and urinary microalbumin were measured after overnight fasting. Plasma triglycerides, total, LDL, and HDL cholesterol, uric acid, creatinine, and glucose were determined by standard commercial methods on a parallel-multichannel analyzer (Hitachi 7170A; Hitachi, Tokyo). Urinary albumin concentrations were measured by immunoturbidmetry (Beckman Instruments, Galway, Ireland). The detection limit was 2 mg/l, and the inter- and intra-assay coefficient of variation was <8%.

Metabolic syndrome was defined according to the proposed criteria of the WHO 1998 Consultation on Definition, Diagnosis and Classification of Diabetes Mellitus and Its Complications (5,6), with modification in the definition of hypertension. Metabolic syndrome was defined when a subject with impaired fasting glucose or diabetes had two or more of the following components: 1) raised arterial pressure >=160/90 mmHg or on antihypertensive treatment; 2) central obesity (WHR >0.9 for men and >0.85 for women and/or BMI >30 kg/m2); 3) microalbuminuria (urinary albumin excretion rate >=20 µg/min or albumin/creatinine >=20 mg/g on at least two different occasions) or more advanced nephropathy; and 4) raised plasma triglycerides (>=150 mg/dl) and/or decreased HDL cholesterol (<35 mg/dl for men and <39 mg/dl for women). Because hypertriglyceridemia may be related to hyperglycemia in patients with type 2 diabetes (20), the definition of dyslipidemia in patients with type 2 diabetes was used only when triglycerides or HDL cholesterol were at abnormal levels after a 3-month control of blood glucose.

ACE I/D polymorphism
Genomic DNA was prepared from peripheral blood using standard techniques. For the ACE I/D polymorphism, the primer pairs used and the annealing temperature were as follows: forward 5'-CTGGAGACCACTCCCATCCTTTCT-3' and reverse 5'-GATGTGGCCATCACATTCGTCAGAT-3', which amplify the intron 16 region where the I/D fragment is located. PCR amplification products were obtained using 25-µl reactions (0.5 pg genomic DNA, 500 pmol of primers, 0.5 mmol/l each of deoxy-ATP, -GTP, -CTP, and -TTP, 1.5 mmol/l MgCl2, 0.5 units Tag DNA polymerase [Takara Tag; Takara Shuzo, Otsu Shiga, Japan], 50 mmol/l KCl, 0.001% gelatin, and 10 mmol/l Tris-HCl; pH 8.3) with 4 min denaturation at 94°C, followed by 35 cycles of 15 s at 94°C, 5 s at 67°C, and 30 s at 74°C in a thermal cycler (Gene Amp PCR System 9700; Perkin-Elmer, Foster City, CA). The reaction was terminated at 72°C at 2 min. To avoid ID/DD mistyping of heterozygotes as DD homozygotes (21), all DD genotype samples were confirmed using a pair of primers that produce an amplified product only in the presence of the insertion, which was used to verify the polymorphism: forward 5'-TGGGACCACAGCGCCCGCCACTAC-3' and reverse 5'-TCGCCAGCCCTCCCATGCCCATAA-3' (22). The PCR condition was similar to that procedure for I/D detection, except that the annealing temperature was changed to 62°C. All PCR products were visualized after electrophoresis on a 2% agarose gel and ethidium bromide staining. Genotyping was performed in a blinded fashion.

Statistical analysis
The data are expressed as means ± SD. All statistical analyses were performed using the Statistical Package for Social Science program (SPSS for Windows, version 7.5.1; SPSS, Chicago). The statistical difference in genotype distribution and allele frequencies among the groups was assessed by the Pearson {chi}2 test. Other variables were compared using unpaired t test for normally distributed variables, and ANOVA followed by Scheffe’s test was used to compare the group means. Before statistical testing, fasting plasma glucose and serum triglycerides were logarithmically transformed to achieve a normal distribution.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 RESEARCH DESIGN AND METHODS
 RESULTS
 CONCLUSIONS
 References
 
A total of 750 sex- and age-matched subjects from 1,309 control subjects were used as the control group. Among these control subjects, 43.2% were found to be obese, 29.5% had dyslipidemia, 23.6% had hypertension, 12.3% had impaired fasting glucose or diabetes, and 10.3% had microalbuminuria or more advanced nephropathy. Eighty-two (10.9%) control subjects were found to fit the criteria of metabolic syndrome, and 229 subjects were free of any abnormality of components of metabolic syndrome. Table 1 presents the clinical characteristics of control and type 2 diabetic subjects. Diabetic subjects had significantly higher levels of BMI, WHR, fasting glucose, blood pressure, serum total cholesterol, and triglycerides than those of the control group. Of 711 type 2 diabetic subjects, 534 (75.1%) fulfilled the WHO criteria for metabolic syndrome. Diabetic subjects with metabolic syndrome were older and had significantly higher blood glucose, HbA1c, blood pressure, serum triglyceride, total cholesterol, creatinine, and uric acid levels as well as higher urinary albumin/creatinine ratio and lower HDL cholesterol levels than those without metabolic syndrome (Table 2).


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Table 1— Clinical characteristics of control subjects and patients with type 2 diabetes

 

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Table 2— Clinical characteristics of type 2 diabetic patients classified according to the criteria of metabolic syndrome

 
The ACE gene I/D genotype distributions within the study groups are presented in Table 1. In each study group, the genotype frequency distributions of this polymorphism were in Hardy-Weinberg equilibrium. No differences in ACE genotype distribution and allele frequencies were found between patients with type 2 diabetes and control subjects. Table 3 shows the prevalence of the different components of metabolic syndrome in control and diabetic subjects with different ACE genotypes. The highest prevalence of metabolic derangement was obesity, and the most common combination was obesity plus dyslipidemia. The prevalence of metabolic syndrome in control subjects with II, ID, and DD genotype was 9.4, 11.5, and 15.4%, respectively, and in patients with type 2 diabetes, it was 68.6, 79.2, and 86.1%, respectively. The ACE I/D polymorphism was significantly associated with the syndrome (P = 0.001) (Table 3) in patients with type 2 diabetes. When pooling the control with diabetic subjects, the prevalence of metabolic syndrome in the whole study group with II, ID, and DD genotype was 37.9, 44.5, and 51.0%, respectively, and ACE I/D polymorphism was still significantly associated with metabolic syndrome (P = 0.003). Diabetic patients with DD genotype were also found to have a higher prevalence of dyslipidemia (II/ID/DD = 43.1/53.1/65.8%, P < 0.001) and albuminuria (36.0/44.6/50.6%, P = 0.018) and to have higher serum triglyceride levels (II, ID, and DD = 155 ± 114, 170 ± 140, and 199 ± 132 mg/dl, respectively, P < 0.05) (Table 1). Control subjects with DD genotype were also found to have a higher prevalence of albuminuria or more advanced nephropathy (II/ID/DD = 5.7/14.0/15.4%, P = 0.001). When pooling the control with diabetic subjects, ACE genotype could still be significantly associated with dyslipidemia (II/ID/DD = 34.7/41.3/52.2%, P < 0.001) and albuminuria or more advanced nephropathy (20.3/28.9/33.1%, P < 0.001). There were no statistically significant differences in the variables found among the control subjects with different ACE genotypes (Table 1).


View this table:
[in this window]
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Table 3— ACE I/D genotype distributions in control subjects and type 2 diabetic patients

 

    CONCLUSIONS
 TOP
 ABSTRACT
 INTRODUCTION
 RESEARCH DESIGN AND METHODS
 RESULTS
 CONCLUSIONS
 References
 
Our results demonstrate a high prevalence (75.1%) of metabolic syndrome in Chinese patients with type 2 diabetes, a finding comparable with a Scandinavian report (7,8). The current study gives the actual prevalence for the syndrome in type 2 diabetic patients, which could only be made once the criteria for the syndrome was made available in 1998 (5). This finding suggests that the etiology of diabetes, obesity, dyslipidemia, hypertension, and nephropathy may have a common factor(s), and it also provides clues to the high incidence of macro- or microvascular complications in patients with type 2 diabetes. An elevated mean serum uric acid level was also noticed in our diabetic patients with metabolic syndrome, which is in accordance with the finding of elevated uric acid often found concurrently in obesity, dyslipidemia, and essential hypertension (23).

The current study reveals no association between ACE genotype and type 2 diabetes in the Chinese population, although Chinese diabetic patients with ACE DD genotype have a higher prevalence of metabolic syndrome. To our knowledge, this is the first report showing the association of ACE gene polymorphism with metabolic syndrome using the new WHO criteria. This fact may provide genetic evidence for the clustering of metabolic syndrome or insulin resistance syndrome.

Meta-analyses assessing the influence of the ACE gene polymorphism on disease susceptibility have demonstrated significant odds ratios in individuals with the DD genotype for both diabetic and nondiabetic renal disease (17), hypertension (14), and coronary artery diseases (15,16). Most evidence appears to show that the D allele is a risk factor for development and progression of micro- or macrovascular diabetic complications. It has been found that an I/D polymorphism of ACE gene affects the serum ACE level (24), and ACE gene polymorphism has been known to contribute to the ethnic differences in response to ACE inhibitor treatment (25). In Caucasians, 44% of the variance in circulating ACE activity is accounted for by genetic polymorphism (26), and plasma ACE activity has also been found to be genetically determined in the Chinese population (27). Activated angiotensin systems may lead to organ damage by enhancement of cellular hypertrophy and proliferation and disruption of the extracellular matrix, and induction of cytokine or growth factor secretion further exacerbates the injury (12). Patients with the DD genotype have activated angiotensin systems (24) and, thus, may be prone to vascular injury. Our results are similar to many reports (1317) that reveal that type 2 diabetic patients with ACE DD genotype have a higher prevalence of albuminuria. Combined, these results support the finding that the ACE genotype is associated with the metabolic syndrome and give evidence to support the hypothesis that the D allele is a risk factor for micro- and macrovascular diseases (1317).

The HOPE (Heart Outcomes Prevention Evaluation) and MICRO-HOPE studies demonstrated that when ACE inhibitor treatment was administered to patients with high risk for cardiovascular disease and diabetes, cardiovascular events and overt nephropathy were significantly decreased (28,29). These studies also revealed that the cardiovascular benefit was greater than that attributable to the decrease in blood pressure and concluded that ACE inhibition represents a vasculoprotective and renoprotective effect for people with high cardiovascular risk and diabetes. These facts indeed suggest that the angiotensin system plays a role in the pathogenesis of cardiovascular and renovascular complications.

Patients with type 2 diabetes with DD genotype were found in this study to have a significantly higher prevalence of dyslipidemia and higher serum triglyceride levels than those with II genotype; the difference was also present when pooling the control subjects with diabetic patients. This result may suggest that the angiotensin system plays some role in lipid metabolism. All components of RAS genes are found to be expressed in adipose tissue (30). The adipose tissue RAS may have multiple functions, including prostaglandin synthesis and adipose tissue lipolysis, and may play a role in adipocyte metabolic function and obesity (31,32). Nagi et al. (18) found that plasma ACE levels, but not ACE genotype, were associated with plasma triglyceride and total cholesterol levels in Pima Indians. At the same time, ACE genotypes were found to be significantly correlated with plasma ACE levels in both diabetic and nondiabetic groups, leading them to conclude that ACE genotype is not a major determinant of circulating plasma ACE levels in Pima Indians.

Our study revealed that ACE genotype was significantly associated with serum triglyceride levels, not total cholesterol levels, in Chinese subjects with type 2 diabetes. The discrepancy between the results of our study and that of Nagi et al. in Pima Indians may be due to the larger number of case subjects in our study (1,461 vs. 305). The prevalence of ACE DD genotype has been reported to be lower among Chinese compared with Caucasians but comparable with that of Pima Indians (18,25,27). To avoid the confounding effect of glucose level on serum triglyceride concentrations (20), the serum triglyceride level used for classification was the level measured after a 3-month control of blood glucose. Table 1 shows that the plasma sugar and HbA1c levels were not significantly different among the diabetic subgroups. Thus, our results suggest that RAS may play some role in triglyceride metabolism.

Angiotensin II has been found to be a modulator of insulin sensitivity in both diabetic and nondiabetic subjects (33,34). Our results show no difference in ACE genotype distribution and allele frequencies between patients with type 2 diabetes and control subjects and imply that the ACE genotype may not be associated with the pathogenesis of insulin sensitivity or type 2 diabetes. Although the angiotensin system may not, in general, be a causative factor for diabetes, according to our studies and the studies of others, angiotensin II may have certain detrimental effects on metabolic syndrome.

Our study also indicates that ACE I/D polymorphism is not associated with hypertension in patients with type 2 diabetes. This result is in accordance with a report by Staesen et al. (35) in which a meta-analysis of other reports showed no association of hypertension with ACE polymorphism. The correlation between angiotensin system and obesity is interesting. Plasma angiotensin level, plasma renin activity, and plasma ACE activity were found to be correlated with BMI in obese human subjects of different human populations (36,37), and the linkage between obesity and an angiotensin system gene polymorphism has been demonstrated in a genetically isolated population (38). In this study, we did not find any anthropometric parameters associated with the ACE gene genotypes, and thus, we believe this association needs clarification by further observations in the Chinese population.

In summary, we have found an association of the ACE genotype polymorphism with metabolic syndrome in Chinese patients with type 2 diabetes. This result may provide genetic evidence to explain the clustering of metabolic syndrome, and suggests that RAS is involved in the pathophysiology of metabolic derangement in patients with type 2 diabetes.


    Acknowledgments
 
We are grateful to Yi-Su Chung for her excellent technical assistance and to the staff of the clinical and nutrition diabetes section for their assistance in various measurements and other organizational aspects of this study.


    Footnotes
 
Address correspondence and reprint requests to Dr. Yau-Jiunn Lee, Department of Clinical Research, Ping-Tung Christian Hospital, no. 60, Da-Lien Rd., Ping-Tung 90000, Taiwan. E-mail: t3275{at}ms25.hinet.net.

Received for publication 20 August 2001 and accepted in revised form 7 March 2002.

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


    References
 TOP
 ABSTRACT
 INTRODUCTION
 RESEARCH DESIGN AND METHODS
 RESULTS
 CONCLUSIONS
 References
 

  1. Reaven GM: Banting Lecture 1988: role of insulin resistance in human disease. Diabetes 37:1595–1607, 1988[Abstract]
  2. Zimmet PZ: Kelly West Lecture 1991: challenges in diabetes epidemiology—from West to the rest. Diabetes Care 15:232–252, 1992[Medline]
  3. Modan M, Halkin H, Almog S, Lusky A, Eshkol A, Shefi M, Shitrit A, Fuchs Z: Hyperinsulinemia: a link between hypertension, obesity and glucose intolerance. J Clin Invest 75:809–817, 1985
  4. DeFronzo RA, Ferrannini E: Insulin resistance: a multifaceted syndrome responsible for NIDDM, obesity, hypertension, dyslipidaemia and atherosclerotic cardiovascular disease. Diabetes Care 14:173–194, 1991[Abstract]
  5. Alberti KG, Zimmet PZ: Definition, diagnosis and classification of diabetes mellitus and its complications. 1. Diagnosis and classification of diabetes mellitus, provisional report of a WHO consultation. Diabet Med 15:539–553, 1998[Medline]
  6. Hansen BC: The metabolic syndrome X. Ann N Y Acad Sci 18:1–24, 1999
  7. Isomaa B, Lahti K, Almgren P, Nissen M, Tuomi T, Taskinen M-R, Forsen B, Groop L: Cardiovascular morbidity and mortality associated with the metabolic syndrome. Diabetes Care 24:683–689, 2001[Abstract/Free Full Text]
  8. Groop L: Genetics of the metabolic syndrome. Br J Nutri 83(Suppl. 1):S39–S84, 2000
  9. Mykkanen L, Kuusisto J, Pyorala K, Laakso M: Cardiovascular disease risk factors as predictors of type 2 (non-insulin-dependent) diabetes mellitus in elderly subjects. Diabetologia 36:553–559, 1993[Medline]
  10. Haffner SM, Valdez RA, Hazuda HP, Mitchell BD, Morales PA, Stern MP: Prospective analysis of the insulin resistance syndrome (Syndrome X). Diabetes 41:715–722, 1992[Abstract]
  11. Nicholls MG, Richards AM, Agarwal M: The importance of the renin-angiotensin system in cardiovascular disease. J Hum Hypertens 12:295–299, 1998[Medline]
  12. Matsusaka T, Hymes J, Ichikawa I: Angiotensin in progressive renal disease: theory and practice. J Am Soc Nephrol 7:2025–2043, 1996[Abstract]
  13. Hsieh M-C, Lin S-R, Hsieh T-J, Hsu CH, Chen HC, Shin SJ, Tsai JH: Increased frequency of angiotensin-converting enzyme DD genotype in patients with type 2 diabetes in Taiwan. Nephrol Dial Transplant 15:1008–1013, 2000[Abstract/Free Full Text]
  14. Pujia A, Gnasso A, Irace C, Dominijanni A, Zingone A, Perrotti N, Colonna A, Mattioli PL: Association between ACE-D/D polymorphism and hypertension in type II diabetic subjects. J Hum Hypertens 8:687–691, 1994[Medline]
  15. Tiret L, Kee F, Poirier O, Nicaud V, Lecerf L, Evans A, Cambou JP, Arveiler D, Luc G, Amouyel P: Deletion polymorphism in angiotensin-converting enzyme gene associated with parental history of myocardial infarction. Lancet 341:991–992, 1993[Medline]
  16. Ruiz J, Blanche H, Cohen N, Velho G, Cambien F, Cohen D, Passa P, Froguel P: Insertion/deletion polymorphism of the angiotensin-converting enzyme gene is strongly associated with coronary artery disease in non-insulin-dependent diabetes mellitus. Proc Natl Acad Sci U S A 91:3662–3665, 1994[Abstract/Free Full Text]
  17. Navis G, van der Kleij FG, de Zeeuw D, de Jong PE: Angiotensin-converting enzyme gene I/D polymorphism and renal disease. J Mol Med 77:781–791, 1999[Medline]
  18. Nagi DK, Foy CA, Mohamed-Ali V, Yudkin JS, Grant PJ, Knowler WC: Angiotensin-1-converting enzyme (ACE) gene polymorphism, plasma ACE levels, and their association with the metabolic syndrome and electrocardiographic coronary artery disease in Pima Indian. Metabolism 47:622–626, 1998[Medline]
  19. Engeli S, Negrel R, Sharma AM: Physiology and pathophysiology of the adipose tissue renin-angiotensin system. Hypertension 35:1270–1277, 2000[Abstract/Free Full Text]
  20. Taskinen MR, Lahdenpera S, Syvanne M: New insights into lipid metabolism in non-insulin-dependent diabetes mellitus. Ann Med 28:335–340, 1996[Medline]
  21. Shanmugam V, Sell KW, Saha BK: Mistyping ACE heterozygotes. PCR Methods Appl 3:120–121, 1993[Medline]
  22. Fogarty DG, Maxwell AP, Doherty CC, Hughes AE, Nevin NC: ACE gene typing (Letter). Lancet 343:851, 1994[Medline]
  23. Schmidt MI, Watson RL, Duncan BB, Metcalf P, Brancati FL, Sharrett AR, Davis CE, Heiss G: Clustering of dyslipidemia, hyperuricemia, diabetes, and hypertension and its association with fasting insulin and central and overall obesity in a general population. Metabolism 45:699–706, 1996[Medline]
  24. Rigat B, Hubert C, Alhenc-Gelas F, Cambien F, Corvol P, Soubrier F: An insertion deletion polymorphism in angiotensin I-converting enzyme gene accounting for half the variance of serum enzyme levels. J Clin Invest 86:1343–1346, 1990
  25. Ding PY, Hu OY, Pool PE, Liao W: Does Chinese ethnicity affect the pharmacokinetics and pharmacodynamics of angiotensin-converting enzyme inhibitors? J Hum Hypertens 14:163–170, 2000[Medline]
  26. Tiret L, Rigat B, Visvikis S, Breda C, Corvol P, Cambien F, Soubrier F: Evidence, from combined segregation and linkage analysis, that a variant of the angiotensin I-converting enzyme (ACE) gene controls plasma ACE levels. Am J Hum Genet 51:197–205, 1992[Medline]
  27. Chiang FT, Lai ZP, Chern TH, Tseng CD, Hsu KL, Lo HM, Tseng YZ: Lack of association of the angiotensin converting enzyme polymorphism with essential hypertension in a Chinese population. Am J Hypertens 10:197–201, 1997[Medline]
  28. Yusuf S, Sleight P, Pogue J, Bosch J, Davies R, Dagenais G: Effects of an angiotensin-converting-enzyme inhibitor, ramipril, on cardiovascular events in high-risk patients. The Heart Outcomes Prevention Evaluation Study Investigators. N Engl J Med 342:145–153, 2000[Abstract/Free Full Text]
  29. Effects of ramipril on cardiovascular and microvascular outcomes in people with diabetes mellitus: results of the HOPE study and MICRO-HOPE substudy. Heart Outcomes Prevention Evaluation Study Investigators. Lancet 355:253–259, 2000[Medline]
  30. Engeli S, Gorzelniak K, Kreutz R, Runkel N, Distler A, Sharma AM: Co-expression of rennin-angiotensin system genes in human adipose tissue. J Hypertens 17:555–560, 1999[Medline]
  31. Hennes MM, O’Shaughnessy IM, Kelly TM, LaBelle P, Egan BM, Kissebah AH: Insulin-resistant lipolysis in abdominally obese hypertensive individuals: role of the rennin-angiotensin system. Hypertension 28:120–126, 1996[Abstract/Free Full Text]
  32. Phillips M, Speakman E, Kimura B: Levels of angiotensin and molecular biology of the tissue rennin angiotensin system. Regul Pept 434:1–120, 1993
  33. Buchanan TA, Thawani H, Kades W, Modrall JG, Weaver FA, Laurel C, Poppiti R, Xiang A, Hsueh W: Angiotensin II increases glucose utilization during acute hyperinsulinemia via a hemodynamic mechanism. J Clin Invest 92:720–726, 1993
  34. Morris AD, Petrie JR, Ueda S, Connell JM, Elliott HL, Small M, Donnelly R: Pressor and subpressor doses of angiotensin II increase insulin sensitivity in NIDDM: dissociation of metabolic and blood pressure effects. Diabetes 43:1445–1449, 1994[Abstract]
  35. Staessen JA, Wang JG, Ginocchio G, Petrov V, Saavedra AP, Soubrier F, Vlietinck R, Fagard R: The deletion/insertion polymorphism of the angiotensin converting enzyme gene and cardiovascular-renal risk. J Hypertens 15:1579–1592, 1997[Medline]
  36. Cooper R, McFarlane-Anderson N, Bennett FI, Wilks R, Puras A, Tewksbury D, Ward R, Forrester T: ACE, angiotensinogen and obesity: a potential pathway leading to hypertension. J Hum Hypertens 11:107–111, 1997[Medline]
  37. Umemura S, Nyui N, Tamura K, Hibi K, Yamaguchi S, Nakaamaru M, Ishigami T, Yabana M, Kihara M, Inoue S, Ishii M: Plasma angiotensinogen concentrations in obese patients. Am J Hypertens 10:629–633, 1997[Medline]
  38. Hegele RA, Brunt JH, Connelly PW: Genetic variation on chromosome 1 associated with variation in body fat distribution in men. Circulation 92:1089–1093, 1995[Abstract/Free Full Text]

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Elevated Plasma Level of Visfatin/Pre-B Cell Colony-Enhancing Factor in Patients with Type 2 Diabetes Mellitus
J. Clin. Endocrinol. Metab., January 1, 2006; 91(1): 295 - 299.
[Abstract] [Full Text] [PDF]


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DiabetesHome page
A. Meirhaeghe, D. Cottel, P. Amouyel, and J. Dallongeville
Association Between Peroxisome Proliferator-Activated Receptor {gamma} Haplotypes and the Metabolic Syndrome in French Men and Women
Diabetes, October 1, 2005; 54(10): 3043 - 3048.
[Abstract] [Full Text] [PDF]


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J. Clin. Endocrinol. Metab.Home page
S.-W. Weng, C.-W. Liou, T.-K. Lin, Y.-H. Wei, C.-F. Lee, H.-L. Eng, S.-D. Chen, R.-T. Liu, J.-F. Chen, I-Y. Chen, et al.
Association of Mitochondrial Deoxyribonucleic Acid 16189 Variant (T->C Transition) with Metabolic Syndrome in Chinese Adults
J. Clin. Endocrinol. Metab., September 1, 2005; 90(9): 5037 - 5040.
[Abstract] [Full Text] [PDF]


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Diabetes CareHome page
F.-M. Chung, J. C.-R. Tsai, D.-M. Chang, S.-J. Shin, and Y.-J. Lee
Peripheral Total and Differential Leukocyte Count in Diabetic Nephropathy: The relationship of plasma leptin to leukocytosis
Diabetes Care, July 1, 2005; 28(7): 1710 - 1717.
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Diabetes CareHome page
H. Sone, S. Mizuno, H. Fujii, Y. Yoshimura, Y. Yamasaki, S. Ishibashi, S. Katayama, Y. Saito, H. Ito, Y. Ohashi, et al.
Is the Diagnosis of Metabolic Syndrome Useful for Predicting Cardiovascular Disease in Asian Diabetic Patients?: Analysis from the Japan Diabetes Complications Study
Diabetes Care, June 1, 2005; 28(6): 1463 - 1471.
[Abstract] [Full Text] [PDF]


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J. Med. Genet.Home page
M R Abdollahi, T R Gaunt, H E Syddall, C Cooper, D I W Phillips, S Ye, and I N M Day
Angiotensin II type I receptor gene polymorphism: anthropometric and metabolic syndrome traits
J. Med. Genet., May 1, 2005; 42(5): 396 - 401.
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Arterioscler. Thromb. Vasc. Bio.Home page
M.-P. Chen, J. C.-R. Tsai, F.-M. Chung, S.-S. Yang, L.-L. Hsing, S.-J. Shin, and Y.-J. Lee
Hypoadiponectinemia Is Associated With Ischemic Cerebrovascular Disease
Arterioscler. Thromb. Vasc. Biol., April 1, 2005; 25(4): 821 - 826.
[Abstract] [Full Text] [PDF]


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J. Clin. Endocrinol. Metab.Home page
M.-S. Tan, S.-Y. Chang, D.-M. Chang, J. C.-R. Tsai, and Y.-J. Lee
Association of Resistin Gene 3'-Untranslated Region +62G->A Polymorphism with Type 2 Diabetes and Hypertension in a Chinese Population
J. Clin. Endocrinol. Metab., March 1, 2003; 88(3): 1258 - 1263.
[Abstract] [Full Text] [PDF]


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Diabetes CareHome page
L. A. Costa, L. H. Canani, A. L. Maia, and J. L. Gross
The ACE Insertion/Deletion Polymorphism Is Not Associated With the Metabolic Syndrome (WHO Definition) in Brazilian Type 2 Diabetic Patients
Diabetes Care, December 1, 2002; 25(12): 2365 - 2366.
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Diabetes CareHome page
Y.-J. Lee and J. C.-R. Tsai
Response to Costa
Diabetes Care, December 1, 2002; 25(12): 2366 - 2367.
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