International Journal of Hypertension

International Journal of Hypertension / 2012 / Article

Research Article | Open Access

Volume 2012 |Article ID 806810 | https://doi.org/10.1155/2012/806810

Junichi Yatabe, Midori S. Yatabe, Minoru Yoneda, Robin A. Felder, Pedro A. Jose, Hironobu Sanada, "Hypertension-Related Gene Polymorphisms of G-Protein-Coupled Receptor Kinase 4 Are Associated with NT-proBNP Concentration in Normotensive Healthy Adults", International Journal of Hypertension, vol. 2012, Article ID 806810, 7 pages, 2012. https://doi.org/10.1155/2012/806810

Hypertension-Related Gene Polymorphisms of G-Protein-Coupled Receptor Kinase 4 Are Associated with NT-proBNP Concentration in Normotensive Healthy Adults

Academic Editor: Tomohiro Katsuya
Received26 Oct 2011
Accepted04 Dec 2011
Published21 Feb 2012

Abstract

G protein-coupled receptor kinase 4 (GRK4) with activating polymorphisms desensitize the natriuric renal tubular D1 dopamine receptor, and these GRK4 polymorphisms are strongly associated with salt sensitivity and hypertension. Meanwhile, N-terminal pro-B-type natriuretic peptide (NT-proBNP) may be useful in detecting slight volume expansion. However, relations between hypertension-related gene polymorphisms including GRK4 and cardiovascular indices such as NT-proBNP are not clear, especially in healthy subjects. Therefore, various hypertension-related polymorphisms and cardiovascular indices were analyzed in 97 normotensive, healthy Japanese adults. NT-proBNP levels were significantly higher in subjects with two or more GRK4 polymorphic alleles. Other hypertension-related gene polymorphisms, such as those of renin-angiotensin-aldosterone system genes, did not correlate with NT-proBNP. There was no significant association between any of the hypertension-related gene polymorphisms and central systolic blood pressure, cardioankle vascular index, augmentation index, plasma aldosterone concentration, or an oxidative stress marker, urinary 8-OHdG. Normotensive individuals with GRK4 polymorphisms show increased serum NT-proBNP concentration and may be at a greater risk of developing hypertension and cardiovascular disease.

1. Introduction

Renal tubular dopaminergic system inhibits sodium reabsorption from the filtrate and induces sodium excretion [1]. The dopaminergic action in the kidney is impaired in essential hypertension [2] due to an overactivity of G-protein-coupled receptor kinase type 4 (GRK4), an enzyme that desensitizes dopamine D1 receptor (D1R) [1, 3]. Over-activity of GRK4 is shown to be caused by three activating variants of GRK4, namely, R65L, A142V, and A486V [2, 4], in humans, and we have previously reported that these GRK4 gene variants are associated with salt-sensitive and low-renin hypertension [4].

In addition to GRK4, gene polymorphisms related to the renin-angiotensin-aldosterone system (RAAS), such as angiotensin converting enzyme (ACE), angiotensinogen (AGT), angiotensin II type 1 receptor (AGTR1), and aldosterone synthase (CYP11B2) [5], have been reported to be associated with hypertension.

Many studies attempt to link a certain genotype with hypertensive phenotype by establishing a difference in genotype frequency between hypertensive and normotensive patients. However, hypertension is a complex trait that develops slowly and latently, being modulated by many overlapping and counteracting systems. Hence, it is difficult to convincingly establish the causality of gene polymorphisms in hypertension, unless such gene variant is shown to increase blood pressure in transgenic animal models [2]. Given this limitation, it may be beneficial to explore associations between factors postulated to underlie hypertension, such as fluid retention, RAAS overactivation or oxidative stress, and hypertension-related genotypes in those who have not yet developed hypertension.

N-terminal pro-B-type natriuretic peptide (NT-proBNP) is a peptide made by cardiomyocytes during the formation of brain natriuretic peptide (BNP). NT-proBNP is often used as a biomarker of cardiac volume and pressure load [68]. Because NT-proBNP as a marker is very sensitive and dynamic, NT-proBNP may reflect mild fluid retention caused by hypertension-related gene variants.

Another prohypertensive condition postulated to be associated with many of the gene variants is the over-activation of the RAAS. The increased activity of the RAAS may be due to the increased aldosterone production in some instances [9, 10] and an increase in oxidative stress [11] in others. Therefore, urinary 8-hydroxy-2′-deoxyguanosine (8-OHdG), a marker of oxidative stress, and plasma aldosterone concentration were also measured in this study.

The present study tested the correlations of hypertension-related gene polymorphisms including GRK4 with physiological and chemical indices related to hypertension and atherosclerosis in healthy, normotensive adults.

2. Methods

2.1. Study Subjects

All protocols were carried out with the approval of Fukushima Medical University Institutional Review Board. Study participants were recruited Japanese volunteers with normal blood pressure (<140/90 mmHg at office or <135/85 mmHg at home) as defined by the Japanese Society of Hypertension Committee for Guidelines for the Management of Hypertension [12] who were working in a hospital in Fukushima Prefecture. Those with cardiovascular disease (subjects receiving regular followup), chronic kidney disease (estimated glomerular filtration rate <60 mL/min/1.73 m2 and/or macroproteinuria), or diabetes (HbA1c-JDS < 6.5% and/or receiving medical treatment) were excluded from the study. After providing written consent, study subjects underwent physical examinations and laboratory tests on urine and blood. A total of 97 subjects were enrolled into the study.

2.2. Physiological Testing

Cardioankle vascular index (CAVI) and ankle-brachial index (ABI) were measured by VS-1500 N (Fukuda Denshi Co., Ltd. Tokyo, Japan). Augmentation index (AI) and central systolic blood pressure (cSBP) were measured by HEM-9000AI (OMRON Corp. Kyoto, Japan).

2.3. Urine and Blood Analyses

Second voided urine after wakeup was collected for analysis. Urinary electrolytes were measured to estimate the amount of daily sodium intake based on the Kawasaki’s formula [13, 14]. Urinary albumin and 8-OHdG was measured by latex nephelometry and enzyme-linked immunosorbent assay, respectively. Patient samples for blood analyses were obtained at 8:30 AM after the patients had rested in the recumbent position for 30 minutes. Routine laboratory analyses were performed in the hospital laboratory with an automated method using Hitachi Autoanalyzer 7070 (Hitachi High-Technologies Corporation, Tokyo, Japan). Complete blood count was performed using XT-1800i (Sysmex, Kobe, Japan). Plasma aldosterone concentration was measured by radioimmunoassay. Serum NT-proBNP concentration was measured by electrochemiluminescence immunoassay. Urinary albumin and 8-OHdG, plasma aldosterone concentration, and NT-proBNP were measured by SRL Inc. (Tokyo, Japan).

2.4. Genotyping

Variants of GRK4 (R65L A142V, and A486V), AGT M235T, AT1R A1166C, CYP11B2 C-344T, and PAI-1 4/5G were detected by fluorescence probe melting curves [4]. AGT A-6G, ACE I/D were genotyped as previously reported. Detailed protocols have been published elsewhere [1518].

2.5. Statistics

Data are given as Mean ± SD. Correlations between physiological indices and number of GRK4 single nucleotide polymorphisms (SNPs) are assessed by one-way factorial ANOVA. Association between systolic blood pressure and NT-ProBNP levels were analyzed by pearson product-moment correlation coefficient test. Differences in laboratory tests among groups in Table 2 were analyzed by Cochran-Cox test and one-way factorial ANOVA.

3. Results

3.1. General Characteristics

Of the 97 subjects enrolled, 74% was female. The mean systolic and diastolic blood pressures at the office were and  mmHg, respectively. Since subjects with diabetes were excluded from the study, the average levels of FBS and HbA1c were normal (Table 1).


UnitsMeanSD

Female ratio%74
Ageyears44.59.8
SBPmmHg124.416.2
DBPmmHg79.112.4
eGFRmL/min./1.73 m289.314.0
HDL-Cmg/dL57.014.4
LDL-Cmg/dL106.528.3
FBSmg/dL96.510.6
HbA1c%5.390.32
Serum uric acidmg/dL4.61.3

SBP: systolic blood pressure, DBP: diastolic blood pressure, eGFR: estimated glomerular filtration rate, FBS: fasting blood sugar. HbA1c is represented as the National Glycohemoglobin Standardization Program value.

NT-proBNP (pg/mL)
ACEIIDIDD
(42) (43) (12)

AGT A-6GAAAG/GG
(61) (32)

AGT M236TMM/MTTT
(29) (52)

AGTR1 A1166CAAAC/CC
(75) (7)

CYP11B2 C-344TCCCTTT
(46) (39) (9)

PAI-15G5G4G5G4G4G
(11) (44) (40)

Aldosterone (pg/mL)

GRK4012
(26) (40) (23)

ACEIIDIDD
(41) (43) (11)

AGT A-6GAAAG/GG
(61) (32)

AGT M236TMM/MTTT
(29) (52)

AGTR1 A1166CAAAC/CC
(75) (7)

CYP11B2 C-344TCCCTTT
(46) (39) (9)

PAI-15G5G4G5G4G4G
(11) (44) (40)

8-OHdG (ng/mL/g/crea)

GRK4012≦
(23) (39) (23)

ACEIIDIDD
(38) (43) (12)

AGT A-6GAAAG/GG
(59) (31)

AGT M236TMM/MTTT
(28) (50)

AGTR1 A1166CAAAC/CC
(72) (7)

CYP11B2 C-344TCCCTTT
(44) (39) (8)

PAI-15G5G4G5G4G4G
(9) (43) (39)

Number of subjects in each group is indicated in parenthesis below the genotype. GRK4: G-protein coupled receptor kinase 4, ACE: Angiotensin converting enzyme, AGT: angiotensinogen, AGTR1: Angiotensin II type 1 receptor, CYP11B2: aldosterone synthase, PAI-1: plasminogen activator inhibitor-1, 8-OHdG: 8-hydroxy-2′-deoxyguanosine. Data are represented by mean ± SE. Cochran-cox test was used for the paired comparison and one-way factorial ANOVA was applied for multiple comparisons.
3.2. Association between Physiological Indices and the Number of GRK4 Polymorphisms

CAVI, AI, SBP, and cSBP were measured as physiological indices of atherosclerotic changes. No significant relationships were observed between the number of GRK4 polymorphisms and CAVI, AI, SBP, or cSBP (Figure 1).

3.3. Association between NT-proBNP Levels and Number of GRK4 Polymorphisms

In the subjects who have two or more GRK4 polymorphic alleles, NT-proBNP levels were significantly higher than those with one or no GRK4 polymorphic allele ( versus  pg/mL, , Figure 2(a)). This was not due to higher blood pressure, as there was no association between NT-proBNP and office SBP in the healthy normotensives in this study (Figure 2(b)).

3.4. Association between the Levels of NT-proBNP, Aldosterone, 8-OHdG, and Hypertension-Related Genotypes Other Than GRK4

Other hypertension-related genotypes, ACE, AGT, AGTR1, and CYP11B2, were not significantly associated with NT-proBNP concentration (Table 2). Also, none of the hypertension-related polymorphisms examined showed significant association with plasma aldosterone concentration or urinary 8-OHdG, a marker of oxidative stress (Table 2).

4. Discussion

The present study showed for the first time that a significant increase in serum NT-proBNP concentration exists in normotensive, healthy subjects harboring hypertension-related polymorphisms of GRK4, while there was no association between any of the hypertension-related genotypes studied and physiological indices (CAVI, AI, SBP, and cSBP), plasma aldosterone concentration, or an oxidative stress marker, urinary 8-OHdG.

We have previously reported the association between GRK4 polymorphisms (R65L, A142V, and A486V) and salt sensitivity and/or hypertension [19]. In Japanese with untreated, newly diagnosed hypertension, a genetic model based on GRK4 R65L, GRK4 A142V, and GRK4 A486V was 94.4% predictive of salt-sensitive hypertension [4]. Also, in normotensive, young American twins, individuals who were homozygous for haplotype 65L-142V-A486 showed a 1.05 mmHg steeper increase in SBP per year increase in age compared with those homozygous for the most common R65-A142-A486 haplotype [20]. The present study did not find a blood pressure difference in normotensive, Japanese adults possibly because of lack of power due to a smaller sample size. However, the fact that there was a significant increase in serum NT-proBNP concentration among those with GRK4 polymorphisms suggests that salt-sensitive phenotype may be apparent before blood pressure elevation.

Salt sensitivity is associated with an increased morbidity and mortality due to cardiovascular disease even in normotensive population [21]. In patients with stable coronary disease, NT-pro-BNP is a better marker of long-term mortality than conventional cardiovascular risk factors or the degree of left ventricular systolic dysfunction [22, 23]. There are also reports that NT-proBNP is associated with unfavorable cardiovascular outcome in patients with left ventricular hypertrophy [24], geriatric population [25, 26] or diabetes [27]. To determine if GRK4 polymorphisms and NT-proBNP can predict future cardiac risks, prospective studies with larger sample size may be useful.

Physiological indices, CAVI and AI, are both known to increase with greater number of cardiovascular risk factors and complications [2830]. AI may be more sensitive than CAVI in detecting small differences in cardiovascular risk factors [3133]. Also, estimated central systolic blood pressure (cSBP) has shown to be better than brachial blood pressure in assessing atherosclerosis and predicting cardiovascular outcome [34]. However, in this relatively young, normotensive study population, none of the hypertension-related genotypes correlated with cSBP, CAVI, or AI. The lack of association in this study may suggest that detectable atherosclerotic damage or hemodynamic alteration is not one of the early changes during the development of hypertension.

The major finding of this study is that NT-proBNP concentration was slightly but significantly elevated in the normotensive subjects with more hypertension-related GRK4 polymorphisms. The values of NT-proBNP observed in the present study fall within the normal range, but there have been studies that show slight but significant changes with different conditions. Heringlake et al. examined the effects of saline infusion on healthy men and found a significant elevation of plasma NT-proBNP from approximately 3 pmol/L (25 pg/mL) to 7 pmol/L (59 pg/mL) 8 hours after the infusion [35]. Even though the difference in the values of NT-proBNP is relatively small, the diagnostic benefit may still be apparent.

It is notable that among the various hypertension-related gene polymorphisms studied, only GRK4 showed a significant correlation with serum NT-proBNP concentration. This finding is in accordance with the proposed mechanism of association between GRK4 and hypertension, as polymorphic GRK4 has been shown to increase D1R phosphorylation, decrease cAMP response to dopamine in renal tubular cells, and impair natriuresis [2, 4], which would lead to sodium and fluid retention.

Another finding from this study is that none of the hypertension-related gene polymorphisms were associated with plasma aldosterone concentration or urinary 8-OHdG. An increase in aldosterone production is postulated to be a mechanistic link between some RAS-related polymorphisms and hypertension [10, 36], and oxidative stress is considered as an important factor in hypertension involving over-active RAAS [37]. However, at least in this study population, no significant difference could be detected in plasma aldosterone concentration or urinary 8-OHdG by different genotypes. An important limitation of this study is that the majority (74%) of study subjects were female, reflecting the high female ratio of hospital workers in Japan. As such, some of the findings may not be directly applicable to the general population.

In conclusion, GRK4 polymorphisms have a close relationship with serum NT-proBNP concentration, which may reflect fluid retention and increased cardiac load. GRK4 may be a potential target to screen for the risk of future hypertension and cardiovascular disease so that lifestyle modifications such as salt restriction can be chosen by at-risk subjects to prevent future adverse events.

Conflict of Interests

R. A. Felder and P. A. Jose were awarded a US Patent (no. 6,660,474) on “GRK mutants in essential hypertension” and formed the company Hypogen, Inc.

Acknowledgments

The authors thank Atsuko Hashimoto, Hiroko Ohashi, Emiko Seino, and Kaori Aso for their excellent technical support in this study.

References

  1. P. A. Jose, G. M. Eisner, and R. A. Felder, “Role of dopamine receptors in the kidney in the regulation of blood pressure,” Current Opinion in Nephrology and Hypertension, vol. 11, no. 1, pp. 87–92, 2002. View at: Publisher Site | Google Scholar
  2. R. A. Felder, H. Sanada, J. Xu et al., “G protein-coupled receptor kinase 4 gene variants in human essential hypertension,” Proceedings of the National Academy of Sciences of the United States of America, vol. 99, no. 6, pp. 3872–3877, 2002. View at: Publisher Site | Google Scholar
  3. H. Sanada, J. Yatabe, S. Midorikawa et al., “Amelioration of genetic hypertension by suppression of renal G protein-coupled receptor kinase type 4 expression,” Hypertension, vol. 47, no. 6, pp. 1131–1139, 2006. View at: Publisher Site | Google Scholar
  4. H. Sanada, J. Yatabe, S. Midorikawa et al., “Single-nucleotide polymorphisms for diagnosis of salt-sensitive hypertension,” Clinical Chemistry, vol. 52, no. 3, pp. 352–360, 2006. View at: Publisher Site | Google Scholar
  5. A. Munshi, V. Sharma, S. Kaul et al., “Association of the 344C/T aldosterone synthase (CYP11B2) gene variant with hypertension and stroke,” Journal of the Neurological Sciences, vol. 296, no. 1-2, pp. 34–38, 2010. View at: Publisher Site | Google Scholar
  6. S. Masson, R. Latini, I. S. Anand et al., “Direct comparison of B-type natriuretic peptide (BNP) and amino-terminal proBNP in a large population of patients with chronic and symptomatic heart failure: the Valsartan Heart Failure (Val-HeFT) data,” Clinical Chemistry, vol. 52, no. 8, pp. 1528–1538, 2006. View at: Publisher Site | Google Scholar
  7. C. R. DeFilippi, S. L. Seliger, S. Maynard, and R. H. Christenson, “Impact of renal disease on natriuretic peptide testing for diagnosing decompensated heart failure and predicting mortality,” Clinical Chemistry, vol. 53, no. 8, pp. 1511–1519, 2007. View at: Publisher Site | Google Scholar
  8. A. Luchner, C. Hengstenberg, H. Löwel, G. A. J. Riegger, H. Schunkert, and S. Holmer, “Effect of compensated renal dysfunction on approved heart failure markers: direct comparison of brain natriuretic peptide (BNP) and N-terminal pro-BNP,” Hypertension, vol. 46, no. 1, pp. 118–123, 2005. View at: Publisher Site | Google Scholar
  9. E. M. Freel, M. Ingram, A. M. Wallace et al., “Effect of variation in CYP11B1 and CYP11B2 on corticosteroid phenotype and hypothalamic-pituitary-adrenal axis activity in hypertensive and normotensive subjects,” Clinical Endocrinology, vol. 68, no. 5, pp. 700–706, 2008. View at: Publisher Site | Google Scholar
  10. A. Nejatizadeh, R. Kumar, T. Stobdan et al., “CYP11B2 gene haplotypes independently and in concurrence with aldosterone and aldosterone to renin ratio increase the risk of hypertension,” Clinical Biochemistry, vol. 43, no. 1-2, pp. 136–141, 2010. View at: Publisher Site | Google Scholar
  11. P. S. Modlinger, C. S. Wilcox, and S. Aslam, “Nitric oxide, oxidative stress, and progression of chronic renal failure,” Seminars in Nephrology, vol. 24, no. 4, pp. 354–365, 2004. View at: Publisher Site | Google Scholar
  12. T. Ogihara, K. Kikuchi, H. Matsuoka et al., “The Japanese society of hypertension guidelines for the management of hypertension (JSH 2009),” Hypertension Research, vol. 32, no. 1, pp. 3–107, 2009. View at: Publisher Site | Google Scholar
  13. M. Kawamura, Y. Kusano, T. Takahashi, M. Owada, and T. Sugawara, “Effectiveness of a spot urine method in evaluating daily salt intake in hypertensive patients taking oral antihypertensive drugs,” Hypertension Research, vol. 29, no. 6, pp. 397–402, 2006. View at: Publisher Site | Google Scholar
  14. T. Kawasaki, M. Ueno, K. Uezono et al., “Average urinary excretion of sodium in 24 hours can be estimated from a spot-urine specimen,” Japanese Circulation Journal, vol. 46, no. 9, pp. 948–953, 1982. View at: Google Scholar
  15. Y. Liu, W. Qin, S. Hou et al., “A-6G variant of the angiotensinogen gene and essential hypertension in Han, Tibetan, and Yi populations,” Hypertension Research, vol. 24, no. 2, pp. 159–163, 2001. View at: Publisher Site | Google Scholar
  16. M. Sato, M. Soma, T. Nakayama, and K. Kanmatsuse, “Dopamine D1 receptor gene polymorphism is associated with essential hypertension,” Hypertension, vol. 36, no. 2, pp. 183–186, 2000. View at: Google Scholar
  17. C. Barlassina, N. J. Schork, P. Manunta et al., “Synergistic effect of α-adducin and ACE genes causes blood pressure changes with body sodium and volume expansion,” Kidney International, vol. 57, no. 3, pp. 1083–1090, 2000. View at: Publisher Site | Google Scholar
  18. K. Lindpaintner, M. A. Pfeffer, R. Kreutz et al., “A prospective evaluation of an angiotensin-converting-enzyme gene polymorphism and the risk of ischemic heart disease,” The New England Journal of Medicine, vol. 332, no. 11, pp. 706–711, 1995. View at: Publisher Site | Google Scholar
  19. C. Zeng, A. M. van Villar, G. M. Eisner, S. M. Williams, R. A. Felder, and P. A. Jose, “G protein-coupled receptor kinase 4: role in blood pressure regulation,” Hypertension, vol. 51, no. 6, pp. 1449–1455, 2008. View at: Publisher Site | Google Scholar
  20. H. Zhu, Y. Lu, X. Wang et al., “The G protein-coupled receptor kinase 4 gene affects blood pressure in young normotensive twins,” American Journal of Hypertension, vol. 19, no. 1, pp. 61–66, 2006. View at: Publisher Site | Google Scholar
  21. M. H. Weinberger, “Salt sensitivity is associated with an increased mortality in both normal and hypertensive humans,” Journal of Clinical Hypertension, vol. 4, no. 4, pp. 274–276, 2002. View at: Google Scholar
  22. T. Omland, M. S. Sabatine, K. A. Jablonski et al., “Prognostic value of B-type natriuretic peptides in patients with stable coronary artery disease. The PEACE trial,” Journal of the American College of Cardiology, vol. 50, no. 3, pp. 205–214, 2007. View at: Publisher Site | Google Scholar
  23. C. Kragelund, B. Grønning, L. Køber, P. Hildebrandt, and R. Steffensen, “N-terminal pro-B-type natriuretic peptide and long-term mortality in stable coronary heart disease,” The New England Journal of Medicine, vol. 352, no. 7, pp. 666–675, 2005. View at: Publisher Site | Google Scholar
  24. M. G. Khouri, R. M. Peshock, C. R. Ayers, J. A. de Lemos, and M. H. Drazner, “A 4-tiered classification of left ventricular hypertrophy based on left ventricular geometry the dallas heart study,” Circulation: Cardiovascular Imaging, vol. 3, no. 2, pp. 164–171, 2010. View at: Publisher Site | Google Scholar
  25. J. L. Reny, O. Millot, T. Vanderecamer et al., “Admission NT-proBNP levels, renal insufficiency and age as predictors of mortality in elderly patients hospitalized for acute dyspnea,” European Journal of Internal Medicine, vol. 20, no. 1, pp. 14–19, 2009. View at: Publisher Site | Google Scholar
  26. C. Kistorp, I. Raymond, F. Pedersen, F. Gustafsson, J. Faber, and P. Hildebrandt, “N-terminal pro-brain natriuretic peptide, C-reactive protein, and urinary albumin levels as predictors of mortality and cardiovascular events in older adults,” Journal of the American Medical Association, vol. 293, no. 13, pp. 1609–1616, 2005. View at: Publisher Site | Google Scholar
  27. S. Beer, S. Golay, D. Bardy et al., “Increased plasma levels of N-terminal brain natriuretic peptide (NT-proBNP) in type 2 diabetic patients with vascular complications,” Diabetes and Metabolism, vol. 31, no. 6, pp. 567–573, 2005. View at: Publisher Site | Google Scholar
  28. N. Satoh, A. Shimatsu, Y. Kato et al., “Evaluation of the cardio-ankle vascular index, a new indicator of arterial stiffness independent of blood pressure, in obesity and metabolic syndrome,” Hypertension Research, vol. 31, no. 10, pp. 1921–1930, 2008. View at: Publisher Site | Google Scholar
  29. S. Holewijn, M. den Heijer, D. W. Swinkels, A. F. H. Stalenhoef, and J. de Graaf, “The metabolic syndrome and its traits as risk factors for subclinical atherosclerosis,” Journal of Clinical Endocrinology and Metabolism, vol. 94, no. 8, pp. 2893–2899, 2009. View at: Publisher Site | Google Scholar
  30. H. Masugata, S. Senda, H. Okuyama et al., “Comparison of central blood pressure and cardio-ankle vascular index for association with cardiac function in treated hypertensive patients,” Hypertension Research, vol. 32, no. 12, pp. 1136–1142, 2009. View at: Publisher Site | Google Scholar
  31. C. M. McEniery, Yasmin, K. M. Maki-Petaja et al., “The impact of cardiovascular risk factors on aortic stiffness and wave reflections depends on age: the Anglo-Cardiff Collaborative Trial (ACCT III),” Hypertension, vol. 56, no. 4, pp. 591–597, 2010. View at: Publisher Site | Google Scholar
  32. C. M. McEniery, Yasmin, I. R. Hall, A. Qasem, I. B. Wilkinson, and J. R. Cockcroft, “Normal vascular aging: differential effects on wave reflection and aortic pulse wave velocity: the Anglo-Cardiff Collaborative Trial (ACCT),” Journal of the American College of Cardiology, vol. 46, no. 9, pp. 1753–1760, 2005. View at: Publisher Site | Google Scholar
  33. K. Kohara, Y. Tabara, A. Oshiumi, Y. Miyawaki, T. Kobayashi, and T. Miki, “Radial augmentation index: a useful and easily obtainable parameter for vascular aging,” American Journal of Hypertension, vol. 18, no. 1, part 2, pp. 11S–14S, 2005. View at: Publisher Site | Google Scholar
  34. M. J. Roman, P. M. Okin, J. R. Kizer, E. T. Lee, B. V. Howard, and R. B. Devereux, “Relations of central and brachial blood pressure to left ventricular hypertrophy and geometry: the Strong Heart Study,” Journal of Hypertension, vol. 28, no. 2, pp. 384–388, 2010. View at: Publisher Site | Google Scholar
  35. M. Heringlake, C. Heide, L. Bahlmann et al., “Effects of tilting and volume loading on plasma levels and urinary excretion of relaxin, NT-pro-ANP, and NT-pro-BNP in male volunteers,” Journal of Applied Physiology, vol. 97, no. 1, pp. 173–179, 2004. View at: Publisher Site | Google Scholar
  36. A. Nejatizadeh, R. Kumar, T. Stobdan et al., “Significance of angiotensinogen gene haplotypes and genotypes combinations in hypertension,” Journal of Hypertension, vol. 26, no. 6, pp. 1094–1101, 2008. View at: Publisher Site | Google Scholar
  37. H. Hitomi, H. Kiyomoto, and A. Nishiyama, “Angiotensin II and oxidative stress,” Current Opinion in Cardiology, vol. 22, no. 4, pp. 311–315, 2007. View at: Publisher Site | Google Scholar

Copyright © 2012 Junichi Yatabe et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


More related articles

 PDF Download Citation Citation
 Download other formatsMore
 Order printed copiesOrder
Views1270
Downloads655
Citations

Related articles

We are committed to sharing findings related to COVID-19 as quickly as possible. We will be providing unlimited waivers of publication charges for accepted research articles as well as case reports and case series related to COVID-19. Review articles are excluded from this waiver policy. Sign up here as a reviewer to help fast-track new submissions.