Diabetes Care
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Wang, Y.
Right arrow Articles by Chan, J. C.N.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Wang, Y.
Right arrow Articles by Chan, J. C.N.
Social Bookmarking
 Add to CiteULike   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?
Diabetes Care 28:348-354, 2005
© 2005 by the American Diabetes Association, Inc.


Emerging Treatments and Technologies
Original Article

Prognostic Effect of Insertion/Deletion Polymorphism of the ACE Gene on Renal and Cardiovascular Clinical Outcomes in Chinese Patients With Type 2 Diabetes

Ying Wang, PHD, Maggie C.Y. Ng, BSC, PHD, Wing Yee So, MBCHB, MRCP, Peter C.Y. Tong, PHD, FRCP, Ronald C.W. Ma, MBBCHIR, MRCP, Chun Chung Chow, MBBS, FRCP, Clive S. Cockram, MD, FRCP and Juliana C.N. Chan, MD, FRCP

From the Department of Medicine & Therapeutics, The Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong

Address correspondence and reprint requests to Juliana C.N. Chan, MD, Department of Medicine & Therapeutics, The Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR. E-mail: jchan{at}cuhk.edu.hk


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 RESEARCH DESIGN AND METHODS
 RESULTS
 CONCLUSIONS
 References
 
OBJECTIVE— The insertion/deletion (I/D) polymorphism of the ACE gene has been reported to be associated with diabetic microvascular or macrovascular complications. The aim of the present study was to investigate the prognostic effect of I/D polymorphism on renal and cardiovascular clinical outcomes in Chinese patients with type 2 diabetes.

RESEARCH DESIGN AND METHODS— A consecutive cohort of 1,281 Chinese patients with type 2 diabetes were followed for 41.3 ± 21.6 months. Renal end points were defined as renal death and events (need for dialysis, plasma creatinine ≥500 µmol/l, or doubling of plasma creatinine of baseline value ≥150 µmol/l). Cardiovascular end points were defined as cardiovascular death and events, which included ischemic heart disease, heart failure, cerebrovascular accident, and revascularization requiring hospital admission. The I/D polymorphism of the ACE gene was examined by PCR followed by agarose gel electrophoresis.

RESULTS— The frequencies of ACE gene I/D polymorphisms were in Hardy-Weinberg equilibrium. Patients who developed a renal end point (n = 98) had higher frequencies of DD genotype (19.4 vs. 10.8%, P = 0.018) and D allele (41.3 vs. 31.8%, P = 0.006) compared with subjects who did not (n = 1,183). The cumulative rates of renal end points were 10.0, 19.2, and 24.4% in the II (n = 595), DI (n = 539), and DD genotype carriers (n = 147), respectively (log rank P = 0.004). In multiple Cox regression analysis, the occurrence of renal end points remained significantly influenced by I/D polymorphism with a dominant deleterious effect of the DD genotype (DD versus II, adjusted hazard ratio 2.80 [95% CI 1.49–5.29]). There was no prognostic effect of I/D polymorphism on cardiovascular end points.

CONCLUSIONS— The DD genotype of the ACE I/D polymorphism was an independent risk factor for renal but not cardiovascular end points in Chinese patients with type 2 diabetes.

Abbreviations: ACR, albumin-to-creatinine ratio • AER, albumin excretion rate • I/D, insertion/deletion


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 RESEARCH DESIGN AND METHODS
 RESULTS
 CONCLUSIONS
 References
 
ACE is one of the key enzymes in the renin-angiotensin system, which plays an important role in fluid and electrolyte balance and regulation of blood pressure and cellular growth (1,2). The human ACE gene is located in chromosome 17q23 with 26 exons and 25 introns with an insertion/deletion (I/D) polymorphism that comprises a 278-bp fragment in intron 16 (3). The DD genotype or D allele of this polymorphism was shown to be associated with elevated circulating and tissue ACE activity (4) as well as increased risk of hypertension (5) and diabetic renal (6) and cardiovascular complications (7). However, these results remained inconsistent in both Caucasian (811) and non-Caucasian populations, including Chinese (12,13). These discrepancies might be due to ethnicity, study design, patient selection criteria, and small sample size. The aim of the present study was to evaluate the prognostic effect of this polymorphism on renal and cardiovascular outcomes in a large cohort of 1,281 Chinese patients with type 2 diabetes.


    RESEARCH DESIGN AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 RESEARCH DESIGN AND METHODS
 RESULTS
 CONCLUSIONS
 References
 
The Prince of Wales Hospital is the teaching hospital of the Chinese University of Hong Kong. It serves a population of over 1.2 million. Since 1995, as part of a continuous quality improvement program, all newly referred patients to the clinic underwent a comprehensive assessment of complications and risk factors based on the European DiabCare protocol (14). Clinical assessments included measurement of BMI, waist-to-hip ratio, and blood pressure as well as documentation of visual acuity and examination by funduscopy through dilated pupils. For the foot examination, we used monofilament and graduated tuning forks to assess sensory neuropathy. Fasting blood samples were taken for measurement of plasma glucose, HbA1c, lipids (total cholesterol), HDL cholesterol, triglycerides, and plasma creatinine. A sterile, random spot urine sample was used to measure albumin-to-creatinine ratio (ACR) followed by a timed collection (4 or 24 h) for albumin excretion rate (AER). Using the ACR from these two samples, normoalbuminuria was defined as a mean ACR ≤3.5 mg/mmol; microalbuminuria was defined as ACR between 3.5 and 25 mg/mmol; and macroalbuminuria was defined as ACR ≥25 mg/mmol (15). The procedures related to the study were approved by the Clinical Research Ethics Committee of the Chinese University of Hong Kong. Informed consent was obtained from all participants.

Between July 1994 and June 1998, a consecutive cohort of 1,281 Chinese patients with type 2 diabetes underwent detailed assessments using the above protocol. Patients with type 1 presentation, defined as diabetic ketoacidosis, acute presentation with heavy ketonuria (>3+), or continuous requirement of insulin within 1 year of diagnosis (16), were excluded. Mortality and clinical outcomes were ascertained in May 2001. Mortality data obtained from the Hong Kong Death Registry were further ascertained by review of case notes. Details of all medical admissions with primary and secondary diagnosis as well as medication history and last available plasma creatinine results were retrieved from the Central Computerized System at the Hospital Authority Head Office, which captures >90% of these data from all public hospitals in Hong Kong. Cardiovascular end points were defined as hospitalizations due to ischemic heart disease, heart failure, cerebrovascular accident, and revascularization procedures. Renal end points were defined as dialysis or doubling of plasma creatinine if the baseline value was ≥150 µmol/l or the absolute value was ≥500 µmol/l.

Laboratory assays
Plasma glucose was measured by a hexokinase method (Hitachi 911 automated analyzer; Boehringer Mannheim, Mannheim, Germany). HbA1c was measured by an automated ion-exchange chromatographic method (reference range 5.1–6.4%; Bio-Rad, Hercules, CA). Interassay and intra-assay coefficient of variation (CV) for HbA1c was ≤3.1% at values <6.5%. Total cholesterol, triglycerides, and HDL cholesterol were measured by enzymatic methods on a Hitachi 911 automated analyzer using reagent kits supplied by the manufacturer of the analyzer. LDL cholesterol was calculated by the Friedewald’s equation for triglyceride levels <4.5 mmol/l (17). The precision performance of these assays was within the manufacturer’s specifications. Urinary creatinine (Jaffe’s kinetic method) and albumin (immunoturbidimetry method) were also measured on the Hitachi 911 analyzer using reagent kits supplied by the manufacturer. The interassay precision CV was 12.0 and 2.3% for urinary albumin concentrations of 8.0 mg/l and 68.8 mg/l, respectively. The lowest detection limit was 3.0 mg/l. Serum creatinine (Jaffe’s kinetic method) was measured on a Dimension AR system (Dade Behring, Deerfield, IL). Serum ACE activity was measured by a modified spectrophotometric method with interassay and intra-assay CV <5% (18).

Genetic analysis
Genomic DNA was extracted from peripheral blood leukocytes. Genotyping for the ACE gene I/D polymorphism was performed using a PCR method as described previously (19). PCR amplification showed a 490-bp product (I allele) and/or 190-bp product (D allele) depending on the presence or absence of the insertion of a 278-bp fragment.

Statistical analysis
SPSS statistical software (version 9.0; SPSS, Chicago, IL) was used for statistical analysis with logarithmic transformation of skewed data including HbA1c, fasting blood glucose, triglycerides, serum creatinine, ACR, and AER. Continuous variables are expressed as means ± SD or median (interquartile range) where appropriate. Between-group comparisons were analyzed using independent Student’s t test and ANCOVA. The {chi}2 test was used to analyze allele and genotype frequencies as well as the frequencies of diabetes complications. Cox regression model was used to estimate the hazard ratio (HR) with 95% CIs for mortality and clinical end points. Kaplan-Meier analysis was used to estimate the cumulative incidence of death and cardiovascular and renal outcomes. A P value <0.05 (two-tailed) was considered significant.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 RESEARCH DESIGN AND METHODS
 RESULTS
 CONCLUSIONS
 References
 
A total of 1,281 (41.6% men, mean age 61.0 ± 12.0 years) patients with mean follow-up duration of 41.3 ± 21.6 months were enrolled for the analysis. The frequencies of normoalbuminuria, microalbuminuria, and macroalbuminuria in this prospective cohort were 56.7, 16.1, and 27.2%, respectively. Of these, 98 patients developed renal end points, whereas 139 patients developed cardiovascular end points. Patients who developed renal end points were older (65.2 ± 11.1 vs. 60.6 ± 12.1 years, P < 0.001), had longer duration of diabetes (9.6 ± 5.2 vs. 8.3 ± 6.7 years, P = 0.025), and were more likely to be men (52.9 vs. 41.4%, P = 0.03). They also had higher systolic blood pressure (158 ± 26 vs. 136 ± 22 mmHg, P < 0.001), greater waist-to-hip ratio (0.90 ± 0.07 vs. 0.89 ± 0.07, P < 0.001), more adverse lipid profile (total cholesterol 6.2 ± 1.6 vs. 5.5 ± 1.2 mmol/l, P < 0.001; triglycerides: median 1.81 [interquartile range 1.25–2.74] vs. 1.35 mmol/l [0.91–2.02], P < 0.001), less glycemic control (HbA1c 8.1 ± 2.2 vs. 7.9 ± 1.9%, P < 0.001), higher serum creatinine (199 [150–330] vs. 73 µmol/l [60–91], P < 0.001), and AER (2,567.4 [1,534.5–4,139.1] vs. 16.7 µg/min [8.5–154.0], P < 0.001) after adjustment for sex, age, and duration of diabetes. Patients who developed renal end points were also more likely to have retinopathy (77.9 vs. 33.1%, P < 0.001) and cardiovascular disease (25.0 vs. 3.8%, P = 0.003) at baseline and higher use of antihypertensive (66.3 vs. 29.2%, P < 0.001) and lipid-lowering drugs (56.7 vs. 30.3%, P < 0.001). Similarly, patients who developed cardiovascular end points had worse clinical profiles than patients who did not (data not shown). In this cohort, a random sample of 399 patients underwent measurement of serum ACE activity. They had similar clinical characteristics as those in whom serum ACE activity was not available (data not shown).

The frequency was 67.5% for the I allele and 32.5% for the D allele; observed genotype frequencies were 46.4, 42.1, and 11.5% for the II, DI, and DD alleles, respectively. Genotype frequencies were in Hardy-Weinberg equilibrium. Table 1 summarizes the clinical and biochemical profiles of patients according to genotypes. They had comparable age, duration of diabetes, and anthropometric measurements, except that D allele carriers tended to have more cardiovascular complications and were more likely to be treated with antihypertensive and lipid-lowering drugs. In a subgroup of patients in whom serum ACE activity was available, DD (n = 40) carriers had higher serum ACE activity than II (n = 193) and DI (n = 166) carriers (DD vs. DI vs. II, 63.9 ± 21.9 vs. 56.8 ± 21.3 vs. 46.3 ± 38.6 units/l, P < 0.001). There was a weak but significant correlation between AER and serum ACE activity (r = 0.12, P = 0.003).


View this table:
[in this window]
[in a new window]
 
Table 1— Baseline clinical and biochemical characteristics of Chinese patients with type 2 diabetes divided according to their ACE I/D genotype

 
Patients who developed renal end points had higher proportions of the DD genotype (19.4 vs. 10.8%, P = 0.018) and D allele carriers (41.3 vs. 31.8%, P = 0.006) than patients who did not (Table 2). The cumulative rates of renal end points were 10.0, 19.2, and 24.4% in II, DI, and DD carriers, respectively (Fig. 1). Using Cox regression analysis, ACE I/D polymorphism was an independent predictor for development of renal end points after controlling all confounding factors. Compared with patients with II genotype, DD genotype conferred an approximately threefold increased risk (HR 2.80 [95% CI 1.49–5.29], P = 0.001), whereas DI genotype, a 1.6-fold increased risk (HR 1.61 [1.01–2.58], P = 0.04) for renal end points. Other independent predictors included blood pressure, triglycerides, and underlying cardiovascular complications, renal impairment defined as plasma creatinine ≥150 µmol/l, or presence of retinopathy at baseline. The conferred risk by DD/DI genotypes on renal end points became statistically insignificant when serum ACE activity was included in the model, whereas ACE activity per se was not an independent factor for renal events (HR 1.00 [0.98–1.02]) (Table 3).


View this table:
[in this window]
[in a new window]
 
Table 2— Genotype and allele frequencies of ACE I/D polymorphism in 1,281 Chinese patients with type 2 diabetes with or without occurrence of renal and cardiovascular end points

 


View larger version (14K):
[in this window]
[in a new window]
 
Figure 1— Cumulative renal end points of 1,281 Chinese patients with type 2 diabetes categorized according to their ACE polymorphism genotypes.

 

View this table:
[in this window]
[in a new window]
 
Table 3— Multiple Cox regression analysis to examine the predictors for renal and cardiovascular end points in 1,281 Chinese patients with type 2 diabetes

 
Using Kaplan-Meier analysis, there was also a trend for DD carriers to develop more cardiovascular end points than II carriers (HR 1.27 [0.77–2.08]) but this did not reach statistical significance (Table 2 and Fig. 2). In the Cox regression analysis, age, blood pressure, LDL cholesterol, and presence of diabetes complications at baseline were independent risk factors for development of cardiovascular end points (Table 3).



View larger version (14K):
[in this window]
[in a new window]
 
Figure 2— Cumulative cardiovascular end points of 1,281 Chinese patients with type 2 diabetes categorized according to their ACE polymorphism genotypes.

 

    CONCLUSIONS
 TOP
 ABSTRACT
 INTRODUCTION
 RESEARCH DESIGN AND METHODS
 RESULTS
 CONCLUSIONS
 References
 
In this prospective cohort of 1,281 Chinese patients with type 2 diabetes, we had demonstrated the deleterious effects of the D allele of the ACE I/D polymorphism on progression of nephropathy in addition to other risk factors such as blood pressure and lipid control as well as presence of diabetes complications. This is in accordance with recent findings that D allele was associated with development of nephropathy and structural kidney damage (9,20).

Albuminuria, blood pressure, and metabolic control are important promoters of diabetic nephropathy, but these factors only accounted for approximately one-third of the variability (21). On the other hand, genetic factors had been shown to modulate risk of development of nephropathy in family studies (22). The ACE I/D polymorphism is one of the most extensively studied candidate genes and accounts for >40% of interindividual variability of serum or tissue ACE activity (23). In this respect, ACE activity is important in determining intrarenal angiotensin and kinin levels, which in turn control intraglomerular pressure and development of kidney damage via increased angiotensin II and probably reduced kinin formation (24,25). Increased serum ACE activity has been reported in both type 1 and type 2 diabetic patients with microalbuminuria (26,27). In addition, both animal and clinical studies have shown that ACE inhibition reduced intraglomerular pressure and attenuated the progression of nephropathy (28,29). In this study, patients with renal end points had more adverse metabolic profile, cardiovascular risk factors, renal impairment, albuminuria, and retinopathy at baseline. However, many of these associations were not selected as significant independent variables in the multivariate model, possibly due to the overwhelming effect of cardiovascular complications that are known to be closely associated with multiple risk factors. Nevertheless, systolic blood pressure and log value of triglycerides remained significant predictors for renal end points after controlling for all these confounding variables. Notably, every 1-mmHg increment of systolic blood pressure and 1 log value of triglycerides was associated with a 1.02- and 1.38-fold increased risk, respectively. The results illustrated the importance of an integrated approach involving control of multiple risk factors in these high-risk patients.

On the other hand, after controlling for these confounding factors, the DD genotype remained an independent risk factor for renal end points, with an HR of 2.8. However, when serum ACE activity was included in the model, the independent predictive value of DD genotype lost its significance. In this connection, in keeping with other studies, we observed a small but significant association between serum ACE activity and AER, suggesting that the prognostic effect of ACE I/D polymorphism might be mediated, in part, by ACE activity or possibly other closely associated factors that were not measured in this study.

In this cohort of 1,281 patients, there were 139 cardiovascular and 98 renal end points during a mean follow-up period of 41 months. These findings highlight the equally important roles of cardiovascular and renal events in Chinese compared with Caucasians, in whom cardiovascular morbidity and mortality predominate (30). It is now established that Caucasians have higher frequencies of the DD genotype, ranging from 32 to 42%, compared with 14–18% as reported in Asians (3134). In our study, the prevalence of the DD genotype was 11.5%. Although these interethnic differences in genotype distribution have been put forward by some workers to explain the low prevalence of cardiovascular disease in Asians, the roles of ACE I/D polymorphism in hypertension and cardiovascular disease in Asians remain controversial (31,3537). In this prospective cohort analysis, we observed a tendency for increased cardiovascular end points among DD genotype carriers, albeit short of significance.

Several potential limitations of this large-scale observational study warrant further discussion. First, proteinuria and progression of nephropathy may be confounded by other factors, including changes in blood pressure, obesity, dyslipidemia, and glycemic control throughout the study period. In addition, adjustment of types and dosages of antihypertensive treatments, particularly ACE inhibitors, might confound the results given the weak but significant associations between AER and serum ACE activity. On the other hand, a previous study (38) suggested that serum ACE activity was an independent risk factor for development of cardiovascular end points along with other conventional risk factors. In our study, ACE activity was only measured in a small proportion of our patients, and further studies are required to address this issue. In this respect, survival bias due to premature death from cardiovascular disease among D allele carriers remains a possibility (8). Nevertheless, genotype distribution in our cohort was in Hardy-Weinberg equilibrium and the association between cardiovascular outcome and ACE I/D polymorphism was insignificant, suggesting minimal dropout. Despite these limitations, which would tend to weaken our results, we were able to demonstrate the prognostic significance of ACE I/D polymorphism, in addition to other conventional risk factors, in the progression of renal function in Chinese patients with type 2 diabetes.

In conclusion, in Chinese type 2 diabetic patients, the ACE D allele was associated with an increased risk of progression of nephropathy, which was mediated, in part, through its effect on serum ACE activity.


    Acknowledgments
 
This study was supported by a CUHK Strategic Grant, Hong Kong Research Grant Committee Earmarked Grants, and the Hong Kong Innovation and Technology Fund (Grant ITS/033/00).

We thank Emily Poon, Stanley Ho, and Vincent Lam for their technical support. We thank Kevin H.M. Yu and Patricia Pinna for managing the Diabetes Database. Special thanks are extended to all staff at The Prince of Wales Hospital Diabetes and Endocrine Centre for recruiting and managing these patients. We also acknowledge the assistance by Dr. Fung Hong, Deputy Director, and Edwina Chu, Senior Statistician of the Hong Kong Hospital Authority Headquarters, in retrieving the data on clinical outcomes. We are grateful to all patients for donating their DNA to improve our understanding of these diseases.


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

Received for publication November 20, 2003. Accepted for publication September 18, 2004.


    References
 TOP
 ABSTRACT
 INTRODUCTION
 RESEARCH DESIGN AND METHODS
 RESULTS
 CONCLUSIONS
 References
 

  1. Peach MJ: Renin-angiotensin system: biochemistry and mechanisms of action. Physiol Rev 57:313–370, 1977[Free Full Text]
  2. Corvol P, Williams TA, Soubrier F: Peptidyl dipeptidase A: angiotensin I-converting enzyme. Methods Enzymol 248:283–305, 1995[Medline]
  3. Ehlers MR, Fox EA, Strydom DJ, Riordan JF: Molecular cloning of human testicular angiotensin-converting enzyme: the testis isozyme is identical to the C-terminal half of endothelial angiotensin-converting enzyme. Proc Natl Acad Sci U S A 86:7741–7745, 1989[Abstract/Free Full Text]
  4. Rigat B, Hubert C, Alhenc-Gelas F, Cambien F, Corvol P, Soubrier F: An insertion/deletion polymorphism in the angiotensin I-converting enzyme gene account-ing for half the variance of serum enzyme levels. J Clin Invest 86:1343–1346, 1990
  5. O’Donnell CJ, Lindpaintner K, Larson MG, Rao VS, Ordovas JM, Schaefer EJ, Myers RH, Levy D: Evidence for association and genetic linkage of the angioten-sin-converting enzyme locus with hypertension and blood pressure in men but not women in the Framingham Heart Study. Circulation 97:1766–1772, 1998[Abstract/Free Full Text]
  6. Dudley CR, Keavney B, Stratton IM, Turner RC, Ratcliffe PJ: U.K. Prospective Diabetes Study. XV: relationship of renin-angiotensin system gene polymorphisms with microalbuminuria in NIDDM. Kidney Int 48:1907–1911, 1995[Medline]
  7. Fujisawa T, Ikegami H, Shen GQ, Yamato E, Takekawa K, Nakagawa Y, Hamada Y, Ueda H, Rakugi H, Higaki J: Angiotensin I-converting enzyme gene polymorphism is associated with myocardial infarction, but not with retinopathy or nephropathy, in NIDDM. Diabetes Care 18:983–985, 1995[Abstract]
  8. Fava S, Azzopardi J, Ellard S, Hattersley AT: ACE gene polymorphism as a prognostic indicator in patients with type 2 diabetes and established renal disease. Diabetes Care 24:2115–2120, 2001[Abstract/Free Full Text]
  9. Solini A, Dalla Vestra M, Saller A, Nosadini R, Crepaldi G, Fioretto P: The angiotensin-converting enzyme DD genotype is associated with glomerulopathy lesions in type 2 diabetes. Diabetes 51:251–255, 2002[Abstract/Free Full Text]
  10. Ringel J, Beige J, Kunz R, Distler A, Sharma AM: Genetic variants of the renin-angiotensin system, diabetic nephropathy and hypertension. Diabetologia 40:193–199, 1997[Medline]
  11. Gutierrez C, Vendrell J, Pastor R, Llor C, Aguilar C, Broch M, Richart C: Angiotensin I-converting enzyme and angiotensinogen gene polymorphisms in non-insulin-dependent diabetes mellitus: lack of relationship with diabetic nephropathy and retinopathy in a Caucasian Mediterranean population. Metabolism 46:976–980, 1997[Medline]
  12. Young RP, Chan JC, Critchley JA, Poon E, Nicholls G, Cockram CS: Angiotensinogen T235 and ACE insertion/deletion polymorphisms associated with albuminuria in Chinese type 2 diabetic patients. Diabetes Care 21:431–437, 1998[Abstract]
  13. Wong TY, Chan JC, Poon E, Li PK: Lack of association of angiotensin-converting enzyme (DD/II) and angiotensinogen M235T gene polymorphism with renal function among Chinese patients with type II diabetes. Am J Kidney Dis 33:1064–1070, 1999[Medline]
  14. Piwernetz K, Home PD, Snorgaard O, Antsiferov M, Staehr-Johansen K, Krans M, for the Diabetes Care Monitoring Group of the St. Vincent Declaration Steering Committee: Monitoring the targets of the St. Vincent Declaration and the implementation of quality management in diabetes care: the diabetes care initiative. Diabet Med 10:371–377, 1993[Medline]
  15. Mogensen CE, Vestbo E, Poulsen PL, Christiansen C, Damsgaard EM, EiskjÆr H, FrØland A, Hansen KW, Nielsen S, Pedersen MM: Microalbuminuria and potential confounders. Diabetes Care 18:572–581, 1995[Medline]
  16. Laakso M, Pyorala K: Age of onset and type of diabetes. Diabetes Care 8:114–117, 1985[Abstract]
  17. Friedewald WT, Levy RI, Fredrickson DS: Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem 18:499–502, 1972[Abstract]
  18. Maguire GA, Price CP: A continuous monitoring spectrophotometric method for the measurement of angiotensin-converting enzyme in human serum. Ann Clin Biochem 22:204–210, 1985
  19. Cambien F, Poirier O, Lecerf L, Evans A, Cambou JP, Arveiler D, Luc G, Bard JM, Bara L, Ricard S, Tiret L, Amouyel P, Alhenc-Gelas F, Soubrier F: Deletion polymorphism in the gene for angiotensin-converting enzyme is a potent risk factor for myocardial infarction. Nature 359:641–644, 1992[Medline]
  20. Tarnow L, Gluud C, Parving HH: Diabetic nephropathy and the insertion/deletion polymorphism of the angiotensin-converting enzyme gene. Nephrol Dial Transplant 13:1125–1130, 1998[Free Full Text]
  21. Parving H-H, Østerby R, Ritz E: Diabetic nephropathy. In The Kidney. 6th ed. Brenner BM, Levine S, eds. Philadelphia, WB Saunders, 2000, p. 1731–1773
  22. Seaquist ER, Goetz FC, Rich S, Barbosa J: Familial clustering of diabetic kidney disease: evidence for genetic susceptibility to diabetic nephropathy. N Engl J Med 320:1161–1165, 1989[Abstract]
  23. 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]
  24. Hall JE, Guyton AC, Jackson TE, Coleman TG, Lohmeier TE, Trippodo NC: Control of glomerular filtration rate by renin-angiotensin system. Am J Physiol 233:F366–F372, 1977
  25. Soubrier F, Wei L, Hubert C, Clauser E, Alhenc-Gelas F, Corvol P: Molecular biology of the angiotensin I converting enzyme: II. Structure-function: gene polymorphism and clinical implications. J Hypertens 11:599–604, 1993[Medline]
  26. Lieberman J, Sastre A: Serum angiotensin-converting enzyme: elevations in diabetes mellitus. Ann Intern Med 93:825–826, 1980
  27. Chan JC, Nicholls MG, Cheung CK, Law LK, Swaminathan R, Cockram CS: Factors determining the blood pressure response to enalapril and nifedipine in hypertension associated with NIDDM. Diabetes Care 18:1001–1006, 1995[Abstract]
  28. Zatz R, Dunn BR, Meyer TW, Anderson S, Rennke HG, Brenner BM: Prevention of diabetic glomerulopathy by pharmacological amelioration of glomerular capillary hypertension. J Clin Invest 77:1925–1930, 1986
  29. Ravid M, Brosh D, Levi Z, Bar-Dayan Y, Ravid D, Rachmani R: Use of enalapril to attenuate decline in renal function in normotensive, normoalbuminuric patients with type 2 diabetes mellitus: a randomized, controlled trial. Ann Intern Med 128:982–988, 1998[Abstract/Free Full Text]
  30. Fuller JH, Stevens LK, Wang SL: Risk factors for cardiovascular mortality and morbidity: the WHO Multinational Study of Vascular Disease in Diabetes. Diabetologia 44 (Suppl. 2):S54–S64, 2001
  31. Thomas GN, Young RP, Tomlinson B, Woo KS, Sanderson JE, Critchley JA: Renin-angiotensin-aldosterone system gene polymorphisms and hypertension in Hong Kong Chinese. Clin Exp Hypertens 22:87–97, 2000
  32. Takahashi K, Nakamura H, Kubota I, Takahashi N, Tomoike H: Association of ACE gene polymorphisms with coronary artery disease in a northern area of Japan. Jpn Heart J 36:557–564, 1995[Medline]
  33. Frost D, Pfohl M, Clemens P, Haring HU, Beischer W: Evaluation of the insertion/deletion ACE gene polymorphism as a risk factor for carotid artery intima-media thickening and hypertension in young type 1 diabetic patients. Diabetes Care 21:836–840, 1998[Abstract]
  34. Lindpaintner K, Pfeffer MA, Kreutz R, Stampfer MJ, Grodstein F, LaMotte F, Buring J, Hennekens CH: A prospective evaluation of an angiotensin-converting-enzyme gene polymorphism and the risk of ischemic heart disease. N Engl J Med 332:706–711, 1995[Abstract/Free Full Text]
  35. Harrap SB, Tzourio C, Cambien F, Poirier O, Raoux S, Chalmers J, Chapman N, Colman S, Leguennec S, MacMahon S, Neal B, Ohkubo T, Woodward M: The ACE gene I/D polymorphism is not associated with the blood pressure and cardiovascular benefits of ACE inhibition. Hypertension 42:297–303, 2003[Abstract/Free Full Text]
  36. Ko YL, Ko YS, Wang SM, Chu PH, Teng MS, Cheng NJ, Chen WJ, Hsu TS, Kuo CT, Chiang CW, Lee YS: Angiotensinogen and angiotensin-I converting enzyme gene polymorphisms and the risk of coronary artery disease in Chinese. Hum Genet 100:210–214, 1997[Medline]
  37. Sanderson JE, Yu CM, Young RP, Shum IO, Wei S, Arumanayagam M, Woo KS: Influence of gene polymorphisms of the renin-angiotensin system on clinical outcome in heart failure among the Chinese. Am Heart J 137:653–657, 1999[Medline]
  38. Cambien F, Costerousse O, Tiret L, Poirier O, Lecerf L, Gonzales MF, Evans A, Arveiler D, Cambou JP, Luc G, Rakotovao R, Ducimetiere P, Soubrier F, Alhenc-Gelas F: Plasma level and gene polymorphism of angiotensin-converting enzyme in relation to myocardial infarction. Circulation 90:669–676, 1994[Abstract/Free Full Text]

Add to CiteULike CiteULike   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?


This article has been cited by other articles:


Home page
CJASNHome page
P. Ruggenenti, P. Bettinaglio, F. Pinares, and G. Remuzzi
Angiotensin Converting Enzyme Insertion/Deletion Polymorphism and Renoprotection in Diabetic and Nondiabetic Nephropathies
Clin. J. Am. Soc. Nephrol., September 1, 2008; 3(5): 1511 - 1525.
[Abstract] [Full Text] [PDF]


Home page
DiabetesHome page
D. P.K. Ng, B.-C. Tai, and X.-L. Lim
Is the Presence of Retinopathy of Practical Value in Defining Cases of Diabetic Nephropathy in Genetic Association Studies?: The Experience With the ACE Insertion/Deletion Polymorphism in 53 Studies Comprising 17,791 Subjects
Diabetes, September 1, 2008; 57(9): 2541 - 2546.
[Abstract] [Full Text] [PDF]


Home page
J. Am. Soc. Nephrol.Home page
H.-H. Parving, D. de Zeeuw, M. E. Cooper, G. Remuzzi, N. Liu, J. Lunceford, S. Shahinfar, P. H. Wong, P. A. Lyle, P. Rossing, et al.
ACE Gene Polymorphism and Losartan Treatment in Type 2 Diabetic Patients With Nephropathy
J. Am. Soc. Nephrol., April 1, 2008; 19(4): 771 - 779.
[Abstract] [Full Text] [PDF]


Home page
Diabetes CareHome page
W. Y. So, A. P.S. Kong, R. C.W. Ma, R. Ozaki, C. C. Szeto, N. N. Chan, V. Ng, C. S. Ho, C. W.K. Lam, C. C. Chow, et al.
Glomerular filtration rate, cardiorenal end points, and all-cause mortality in type 2 diabetic patients.
Diabetes Care, September 1, 2006; 29(9): 2046 - 2052.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Wang, Y.
Right arrow Articles by Chan, J. C.N.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Wang, Y.
Right arrow Articles by Chan, J. C.N.
Social Bookmarking
 Add to CiteULike   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Diabetes Diabetes Care Clinical Diabetes Diabetes Spectrum