Donate Help Contact The AHA Sign In Home
American Heart Association
Hypertension
Search: search_blue_button Advanced Search
Hypertension. 2005;45:997-1003
Published online before print April 18, 2005, doi: 10.1161/01.HYP.0000165018.63523.8a
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
45/5/997    most recent
01.HYP.0000165018.63523.8av1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
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 Tomiyama, H.
Right arrow Articles by Yamashina, A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Tomiyama, H.
Right arrow Articles by Yamashina, A.
Right arrowPubmed/NCBI databases
*Substance via MeSH
Medline Plus Health Information
*Metabolic Syndrome
Related Collections
Right arrow Lipids
Right arrow Obesity
Right arrow Risk Factors
Right arrow Glucose intolerance
Right arrow Clinical Studies
Right arrow Lipid and lipoprotein metabolism

(Hypertension. 2005;45:997.)
© 2005 American Heart Association, Inc.


Original Articles

Elevated C-Reactive Protein Augments Increased Arterial Stiffness in Subjects With the Metabolic Syndrome

Hirofumi Tomiyama; Yutaka Koji; Minoru Yambe; Kohki Motobe; Kazuki Shiina; Zaydun Gulnisa; Yoshio Yamamoto; Akira Yamashina

From the Second Department of Internal Medicine, Tokyo Medical University (Y.Y.) Health Care Center, Kajima Corporation, Tokyo, Japan.

Correspondence to Akira Yamashina, MD, Second Department of Internal Medicine, Tokyo Medical University, 6-7-1 Nishi-Shinjuku, Shinjuku-ku, Tokyo, Japan 160-0023. E-mail akyam{at}tokyo-med.ac.jp


*    Abstract
up arrowTop
*Abstract
down arrowIntroduction
down arrowMethods
down arrowResults
down arrowDiscussion
down arrowReferences
 
We examined whether the presence of an increasing number of metabolic syndrome "disorders" was associated with an increasing pulse wave velocity, which is recognized as a marker of cardiovascular risk, and evaluated whether an elevated plasma C-reactive protein level augments this increasing pulse wave velocity. Using a cross-sectional study design, C-reactive protein, metabolic syndrome–related anthropometric parameters, and pulse wave velocity were measured in 5752 middle-aged Japanese men (44±10 years old). In linear regression analyses, all of the metabolic "disorders" and the logarithm of the C-reactive protein significantly correlated with pulse wave velocity. Multiple linear regression analysis demonstrated that triglycerides, HDL cholesterol, mean blood pressure, fasting glucose, and the logarithm of the C-reactive protein were significant independent positive predictors of pulse wave velocity (R-square=0.38). The presence of an increasing number of metabolic "disorders" in the subjects was associated with an increasing pulse wave velocity (no disorders 1228±139 cm/s ≥3 disorders 1437±250 cm/s; P<0.01). Among subjects with the metabolic syndrome, pulse wave velocity was higher in cases with (1508±278 cm/s) than in those without an elevated C-reactive protein (1427±243 cm/s; P<0.01). In conclusion, an increase in arterial stiffness may constitute a pathophysiological basis for the increased risk of cardiovascular disease in patients with the metabolic syndrome and that an elevated C-reactive protein level may aggravate this cardiovascular risk.


Key Words: arteriosclerosis • hypertension, obesity • immune systems • insulin resistance


*    Introduction
up arrowTop
up arrowAbstract
*Introduction
down arrowMethods
down arrowResults
down arrowDiscussion
down arrowReferences
 
The metabolic syndrome (MetS) is defined by the presence of a cluster of disorders that are associated with a marked increase in the risk of atherosclerotic cardiovascular disease.1–4 On the other hand, inflammation has a pivotal role in the initiation or progression of atherosclerosis,5 and the plasma level of high-sensitivity C-reactive protein (hs-CRP), a marker of inflammation, has been reported as a simple predictor of future cardiovascular events.6 MetS is also associated with chronic subclinical inflammation,7,8 and an elevated hs-CRP level has been reported to worsen the prognosis of MetS.9–11 However, conflicting results in relation to this issue have also been reported;12 therefore, the pathophysiological basis that elevated levels of hs-CRP worsen the prognosis of MetS should be examined cautiously.

Pulse wave velocity (PWV), which reflects arterial stiffness, is related to the severity of atherosclerosis, and an increase in PWV is known to predict future cardiovascular events.13,14 In other words, an increase in a patient’s PWV may reflect a worsening of his/her prognosis. The present study examined whether an increasing number of MetS disorders was associated with an increasing PWV and evaluated whether an elevated hs-CRP level augments the increased PWV in middle-aged Japanese men.


*    Methods
up arrowTop
up arrowAbstract
up arrowIntroduction
*Methods
down arrowResults
down arrowDiscussion
down arrowReferences
 
Design and Subjects
The present cross-sectional study was performed on the employees of a single large construction company, all of whom are required to undergo an annual routine health check-up. The employees were divided into 3 groups according to their employee identification number, with an almost equal number of employees in each group. Beginning in 2000, brachial-ankle PWV measurements were added to the annual routine health check-up at 3-year intervals (PWV was measured in the first group in 2000, in the second group in 2001, and in the third group in 2002). The second round of PWV examinations was started in 2003. Furthermore, measurement of the plasma CRP level every 3 years was added to the examination, beginning in 2002. In total, 5867 male employees underwent a health check-up during the period from May 2002 to July 2003. The ages of the subjects ranged from 29 to 76 years. Subjects who met the following criteria were excluded from the study: an ankle/brachial systolic blood pressure index (ABI) of <0.9, indicating a possible diagnosis of arteriosclerosis obliterans (n=9); atrial fibrillation (n=5); a serum creatinine concentration of ≥ 141 µmol/L (n=13);15 and an hs-CRP level ≥10.0 mg/L (n=88). Consequently, 5752 men were included in the final analysis of this study. Verbal informed consent was obtained from all participants. The study was approved by the ethical guidelines committee of Tokyo Medical University.

Measurements

Pulse Wave Velocity
The brachial-ankle PWV was measured using a volume-plethysmographic apparatus (Form/ABI; Colin Co. Ltd.), in accordance with a previously described methodology.16,17 Briefly, ECG electrodes were placed on both wrists, and cuffs were wrapped around both arms and ankles. The cuff, which was wrapped around both arms and ankles, was connected to a plethysmographic sensor to determine volume pulse form and to an oscillometric sensor to measure blood pressure, and the brachial and post-tibial arterial pressure waveforms thus obtained were stored for 10 s. Sufficient waveform data were obtained in this stored sample. The characteristic points of the waveforms were determined automatically according to the phase velocity theory.18 The components >5 Hz were stored using a pass filter, and the wave front was determined. The time interval between the wave front of the brachial waveform and that of ankle waveform was defined as time interval between brachium and ankle ({triangleup}Tba). The distance between the sampling points of the brachial-ankle PWV was calculated automatically according to the height of the subject. The path length from the suprasternal notch to the brachium (Lb) was obtained from superficial measurements and was expressed using the equation: Lb=0.2195xheight of the patient (in centimeters)–2.0734. The path length from the suprasternal notch to the ankle (La) was obtained from superficial measurements and was expressed using the equation: La=(0.8129xheight of the patient (in centimeters)+12.328). Finally, the following equation was used to obtain the brachial-ankle PWV: brachial-ankle PWV=(La–Lb)/{triangleup}Tba.

The brachial-ankle PWV was measured after the subject had rested for ≥5 minutes. The above-described method of measurement of this parameter has been validated in a previous study.16,17 The interobserver and intraobserver coefficients of variation were 8.4% and 10.0%, respectively.17

Laboratory Measurements
The serum total cholesterol, HDL cholesterol, triglycerides, and fasting blood sugar levels were measured using enzymatic methods (Falco Biosystems Co. Ltd.). The interassay coefficients of variation of the laboratory measurements were as follows: total cholesterol 0.4%; HDL cholesterol 1.9%; triglycerides 1.5%; and blood sugar 0.8%. The hs-CRP level was determined using the latex-aggregation method (Eiken Co.),19 which is a high-sensitivity assay method with a detection threshold of <0.1 mg/L. The interassay coefficient of variation for this parameter was 2.9%. Subjects with hs-CRP levels >10.0 mg/L, which was considered to be a possible response to acute-phase exogenous stimuli, were excluded from the analysis.20 All the blood samples were obtained in the morning after the patients had fasted overnight.

Definitions
We used a modified version of the National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) criteria,21 namely, HDL cholesterol <1.036 mmol/L, triglycerides ≥1.695 mmol/L, blood pressure ≥130/85 mm Hg, fasting glucose ≥6.105 mmol/L, and body mass index ≥27.522 (the waist circumference was not available in this study) for the clinical recognition of MetS in this study. Elevated hs-CRP was defined as a high–hs-CRP level ≥3.0 mg/L.23 Blood pressure was determined as the mean of 2 measurements obtained in an office setting by the conventional cuff method using a mercury sphygmomanometer.

Statistical Analysis
Data were expressed as mean±SD. A univariate linear regression analysis was performed to examine each association between brachial-ankle PWV and either the MetS disorders or the logarithm of the plasma hs-CRP level. A multivariate linear regression analysis was performed to assess the correlation and independent variables for brachial-ankle PWV with MetS disorders and the logarithm of the plasma hs-CRP level, adjusted for age, height, heart rate, and smoking status (model A), for model A plus total cholesterol (model B), and for model B plus the prevalence of subjects receiving drugs for hypertension, hypercholesterolemia, diabetes, and that for heart diseases (model C). These variables are noted as a factor influencing the PWV. In addition, total cholesterol has influences on triglycerides and HDL cholesterol. In these analyses, all variables were added together in a large multivariate equation.

Subjects were classified into 4 groups according to the number of metabolic disorders present: non-disorder, one-disorder, two-disorders, and ≥3 disorders. In addition, the subjects having ≥3 metabolic disorders were defined as those with MetS, and the subjects having ≤2 metabolic disorders were defined as those without MetS. For the assessment of the differences of each variable among these 4 groups, a 1-way ANOVA with Scheffe’s adjustment was applied for continuous variables, and the {chi}2 test was applied for categorized variables. A general linear model (GLM) univariate analysis post hoc multiple comparison with Sidak’s adjustment was used to assess the differences in the brachial-ankle PWV among the 4 groups adjusted for the variables, which are noted as a factor influencing the PWV (age, body mass index, height, smoking status, mean blood pressure, heart rate, total cholesterol, HDL cholesterol, triglycerides, and fasting blood sugar) and the prevalence of subjects receiving drugs for hypertension, hypercholesterolemia, diabetes, and that for heart diseases (model D excluding mean blood pressure and model E including mean blood pressure).

In subjects either with or without MetS, the differences in each variable between the 2 study groups (with or without an elevated hs-CRP level) were evaluated using Welch’s t test for continuous variables and the {chi}2 test for categorical variables. In subjects either with or without MetS, the difference in the brachial-ankle PWV of subjects with or without an elevated hs-CRP level was assessed using a GLM univariate analysis post hoc comparison adjusted for models D and E. These GLM analyses were conducted separately in the subjects without and with MetS. All analyses were conducted using SPSS software for Windows, version 11.0J (SPSS). P values <0.05 were considered to denote statistical significance.


*    Results
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
*Results
down arrowDiscussion
down arrowReferences
 
Table 1 depicts the correlation coefficients in each univariate linear regression analysis between brachial-ankle PWV and either the MetS disorders or the logarithm of the plasma hs-CRP level. All the disorders and the logarithm of the plasma hs-CRP level showed significant correlation with the brachial-ankle PWV. Table 2 shows the results of a multivariate linear regression analysis to assess the correlation and independent variables for brachial-ankle PWV with MetS disorders and the logarithm of the plasma hs-CRP level. In the adjustments, total cholesterol and the prevalence of subjects receiving drugs did not have much influence on the coefficients. Therefore, Table 2 shows the results of the analysis without the adjustments and those of the adjustment of model C. Even after the adjustments, triglycerides, HDL cholesterol, mean blood pressure, fasting glucose, and the logarithm of hs-CRP were significantly positive independent variables for the brachial-ankle PWV.


View this table:
[in this window]
[in a new window]
 
TABLE 1. Correlation Coefficients in Each Univariate Linear Regression Analysis Between Brachial-Ankle PWV and Either MetS Disorders or the Logarithm of the Plasma Level of CRP


View this table:
[in this window]
[in a new window]
 
TABLE 2. Results of Multivariate Linear Regression Analyses to Assess Correlations and Independent Variables for Brachial-Ankle PWV With MetS Disorders and the Logarithm of the Plasma Level of CRP

Table 3 shows the clinical characteristics in cases with and without the MetS and in cases with and without an elevated plasma level of hs-CRP in all subjects. After the adjustment of model E, the brachial-ankle PWV was higher in subjects with MetS than that in subjects without MetS.


View this table:
[in this window]
[in a new window]
 
TABLE 3. Clinical Characteristics in Cases With and Without the MetS and in Cases With and Without an Elevated Plasma Level of hs-CRP in All Subjects

Table 4 shows the clinical characteristics among the 4 groups classified according to the number of metabolic disorders present. Most of the variables had a significant phased increase concomitant with an increase in the number of MetS disorders present. After the adjustment of model D (excluding mean blood pressure), the presence of an increasing number of MetS disorders was associated with a significantly increasing brachial-ankle PWV. After the adjustment of model E (including mean blood pressure), the brachial-ankle PWV in subjects with MetS was higher than that in subjects with either non-disorder or one-disorder.


View this table:
[in this window]
[in a new window]
 
TABLE 4. Clinical Characteristics Among the Subjects Classified According to the No. of MetS Disorders Present

Table 5 shows the clinical characteristics in cases with and without an elevated hs-CRP in the subjects with and without MetS. After the adjustment including mean blood pressure (model E), the brachial-ankle PWV was higher in cases with than in those without an elevated hs-CRP in subjects with MetS but not in subjects without MetS.


View this table:
[in this window]
[in a new window]
 
TABLE 5. Clinical Characteristics in Cases With and Without an Elevated Plasma Level of hs-CRP in Subjects With and Without the MetS


*    Discussion
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
*Discussion
down arrowReferences
 
A phased increase in the brachial-ankle PWV with an increasing number of MetS disorders was observed. Among subjects with MetS, the brachial-ankle PWV was higher among cases with an elevated hs-CRP level (≥3.0 mg/L) than among those without an elevated hs-CRP level.

It has been demonstrated that the PWV is an independent prognostic factor in subjects with either hypertension or diabetes mellitus,24,25 both of which are MetS disorders. The proposed underlying mechanisms for this association are as follows: an increase in the PWV, which is related to the severity of atherosclerosis, results in an increased cardiac ventricular load, reduced ejection fraction, increase in the myocardial oxygen demand, impaired coronary blood flow, and a direct aggravation of atherosclerosis via increased stress on the arterial wall.13,14 The brachial-ankle PWV reflects the net arterial stiffness through the central and peripheral arteries; brachial-ankle PWV measurements are very simple to perform and can be performed even in large study populations. It is also strongly correlated with the aortic PWV.17 Thus, the brachial-ankle PWV can very reliably be used as a convenient marker of arterial stiffness in the central aorta. A phased increase in the brachial-ankle PWV with the presence of an increasing number of MetS disorders is consistent with the well-known marked increase in the risk of atherosclerotic cardiovascular disease in subjects with MetS.1,2 Therefore, increased arterial stiffness may serve as a marker for the pathophysiological basis for the increased risk of cardiovascular events in cases with MetS.

It is now well recognized that a high hs-CRP level is a predictor of the future risks of diabetes mellitus and atherosclerotic cardiovascular events.6,26 Furthermore, recent studies have demonstrated that elevated hs-CRP levels are an additive prognostic factor in subjects with MetS.9,10 Ridker et al have proposed the inclusion of elevated hs-CRP levels as a clinical criterion of MetS for the global prediction of atherosclerotic cardiovascular disease risk.11 On the other hand, Rutter et al reported that the inclusion of the hs-CRP level among the conventional MetS disorders adds little to the overall risk prediction.12 Some studies have reported an association between hs-CRP levels and the PWV;19,27 our previous study also demonstrated an association between hs-CRP levels and the brachial-ankle PWV, independent of conventional atherosclerotic risk factors.19 The increase in the brachial-ankle PWV in subjects with an elevated hs-CRP level was augmented in subjects with MetS, and a multiple linear regression analysis demonstrated that the hs-CRP level was a significant indicator of the brachial-ankle PWV independent of the conventional MetS disorders. Thus, this augmentation might, at least in part, indicate a poorer prognosis for subjects with MetS.

The plasma levels of hs-CRP were higher in subjects with than without MetS. Ford et al reported similar findings,8 and the results are also consistent with some experimental results indicating that adipokines (eg, leptin, adiponectin, and resistin) and cytokines (eg, tumor necrosis factor-{alpha} and interleukin-6) are related to central obesity,28,29 and that HDL cholesterol has a direct anti-inflammatory effect.30 On the other hand, Reilly et al proposed a hypothesis for the high prevalence of subclinical inflammation in subjects with MetS; they suggested that the cluster of MetS disorders has a common proximal inflammatory basis (eg, innate immunity).31 Further study is proposed to evaluate whether low-grade inflammation is an epiphenomenon of MetS disorders, especially central obesity, or whether there is a common proximal pathophysiological basis.

There were several limitations to this study. A prospective study to confirm that an increasing brachial-ankle PWV is a marker to predict future cardiovascular events in cases with MetS is required. We used modified criteria for the clinical recognition of MetS, in accordance with Satter’s or Lee’s report,10,32 because the waist circumference was not available in this study. The prevalence of MetS in middle-aged Japanese men of 8% was lower than that in Western populations. It has been reported that the prevalence of MetS may be lower in Asian people, even after adjustment for the body mass index,32 and ethnic differences in the hs-CRP levels have also been reported.33 Therefore, our findings in this study in relation to the prevalence of MetS must be confirmed in other ethnic groups, including women.

Perspectives
In the present study, the presence of an increasing number of metabolic disorders in the subjects was associated with an increasing PWV, and this increase was augmented in cases with an elevated hs-CRP level among subjects with MetS. When adjusted for mean blood pressure, a further effect of MetS (although much diminished) and that of an elevated hs-CRP level remained significant. These results offer evidence for a degree of structural stiffening of the arterial architecture and not just a functional stiffening related to the elevation of blood pressure. Further studies are proposed to examine the underlying mechanisms of those factors associated with structural stiffening. Whereas an elevated hs-CRP level has been reported to worsen the prognosis of MetS, the pathophysiological basis for this effect remains unclear. The present study suggested that an increase in arterial stiffness may serve as a marker for a pathophysiological basis for the increased risk of cardiovascular disease in patients with MetS and that an elevated hs-CRP level may aggravate this cardiovascular risk.


*    Acknowledgments
 
This study was supported in part by a grant-in-aid from the Japanese Atherosclerosis Prevention Fund (A.Y.) and a grant from the Research Fund of Mitsukoshi Health and Welfare Foundation (H.T.).

Received January 15, 2005; first decision January 29, 2005; accepted March 9, 2005.


*    References
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
up arrowDiscussion
*References
 

  1. Lakka HM, Laaksonen DE, Lakka TA, Niskanen LK, Kumpusalo E, Tuomilehto J, Salonen JT. The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men. J Am Med Assoc. 2002; 288: 2709–2716.[Abstract/Free Full Text]
  2. Ford ES. The metabolic syndrome and mortality from cardiovascular disease and all-causes: findings from the National Health and Nutrition Examination Survey II Mortality Study. Atherosclerosis. 2004; 173: 309–314.[CrossRef][Medline] [Order article via Infotrieve]
  3. Malik S, Wong ND, Franklin SS, Kamath TV, L’Italien GJ, Pio JR, Williams GR. Impact of the metabolic syndrome on mortality from coronary heart disease, cardiovascular disease, and all causes in United States adults. Circulation. 2004; 101: 1239–1244.
  4. Hunt KJ, Resendez RG, Williams K, Haffner SM, Stern MP. National Cholesterol Education Program versus World Health Organization Metabolic Syndrome in relation to all-cause and cardiovascular mortality in the San Antonio Heart Study. Circulation. 2004; 101: 1245–1251.
  5. Libby P. Inflammation in atherosclerosis. Nature. 2002; 420: 868–874.[CrossRef][Medline] [Order article via Infotrieve]
  6. Ridker PM, Brown NJ, Vaughan DE, Harrison DG, Mehta JL. Established and emerging plasma biomarkers in the prediction of first atherothrombotic events. Circulation. 2004; 109: IV6–19.[Medline] [Order article via Infotrieve]
  7. Festa A, D’Agostino R Jr, Howard G, Mykkanen L, Tracy RP, Haffner SM. Chronic subclinical inflammation as part of the insulin resistance syndrome: the Insulin Resistance Atherosclerosis Study (IRAS). Circulation. 2000; 102: 42–47.[Abstract/Free Full Text]
  8. Ford ES. The metabolic syndrome and C-reactive protein, fibrinogen, and leukocyte count: findings from the Third National Health and Nutrition Examination Survey. Atherosclerosis. 2003; 168: 351–358.[CrossRef][Medline] [Order article via Infotrieve]
  9. Ridker PM, Buring JE, Cook NR, Rifai N. C-reactive protein, the metabolic syndrome, and risk of incident cardiovascular events: an 8-year follow-up of 14 719 initially healthy Am women. Circulation. 2003; 107: 391–397.[Abstract/Free Full Text]
  10. Sattar N, Gaw A, Scherbakova O, Ford I, O’Reilly DS, Haffner SM, Isles C, Macfarlane PW, Packard CJ, Cobbe SM, Shepherd J. Metabolic syndrome with and without C-reactive protein as a predictor of coronary heart disease and diabetes in the West of Scotland Coronary Prevention Study. Circulation. 2003; 108: 414–419.[Abstract/Free Full Text]
  11. Ridker PM, Wilson PW, Grundy SM. Should C-reactive protein be added to metabolic syndrome and to assessment of global cardiovascular risk? Circulation. 2004; 109: 2818–2825.[Abstract/Free Full Text]
  12. Rutter MK, Meigs JB, Sullivan LM, D’Agostino RB Sr, Wilson PW. C-reactive protein, the metabolic syndrome, and prediction of cardiovascular events in the Framingham Offspring Study. Circulation. 2004; 110: 380–385.[Abstract/Free Full Text]
  13. Davies JI, Struthers AD. Pulse wave analysis and pulse wave velocity: a critical review of their strengths and weaknesses. J Hypertens. 2003; 21: 463–472.[CrossRef][Medline] [Order article via Infotrieve]
  14. London GM, Cohn JN. Prognostic application of arterial stiffness: task forces. Am J Hypertens. 2002; 15: 754–758.[CrossRef][Medline] [Order article via Infotrieve]
  15. Coresh J, Wei GL, McQuillan G, Brancati FL, Levey AS, Jones C, Klag MJ. Prevalence of high blood pressure and elevated serum creatinine level in the United States: findings from the third National Health and Nutrition Examination Survey (1988–1994). Arch Intern Med. 2001; 161: 1207–1216.[Abstract/Free Full Text]
  16. Tomiyama H, Yamashina A, Arai T, Hirose K, Koji Y, Chikamori T, Hori S, Yamamoto Y, Doba N, Hinohara S. Influences of age and gender on results of noninvasive brachial-ankle pulse wave velocity measurement–a survey of 12 517 subjects. Atherosclerosis. 2003; 166: 303–309.[CrossRef][Medline] [Order article via Infotrieve]
  17. Yamashina A, Tomiyama H, Takeda K, Tsuda H, Arai T, Hirose K, Koji Y, Hori S, Yamamoto Y. Validity, reproducibility, and clinical significance of noninvasive brachial-ankle pulse wave velocity measurement. Hypertens Res. 2002; 25: 359–364.[CrossRef][Medline] [Order article via Infotrieve]
  18. McDonald DA. Regional pulse-wave velocity in the arterial tree. J Appl Physiol. 1968; 24: 73–78.[Free Full Text]
  19. Tomiyama H, Arai T, Koji Y, Yambe M, Hirayama Y, Yamamoto Y, Yamashina A. The relationship between high-sensitive C-reactive protein and pulse wave velocity in healthy Japanese men. Atherosclerosis. 2004; 174: 373–377.[CrossRef][Medline] [Order article via Infotrieve]
  20. Blackburn R, Giral P, Bruckert E, Andre JM, Gonbert S, Bernard M, Chapman MJ, Turpin G. Elevated C-reactive protein constitutes an independent predictor of advanced carotid plaques in dyslipidemic subjects. Arterioscler Thromb Vasc Biol. 2001; 21: 1962–1968.[Abstract/Free Full Text]
  21. Grundy SM, Brewer HB Jr, Cleeman JI, Smith SC Jr, Lenfant C; American Heart Association; National Heart, Lung, and Blood Institute. Definition of metabolic syndrome: report of the National Heart, Lung, and Blood Institute/American Heart Association conference on scientific issues related to definition. Circulation. 2004; 109: 433–438.[Free Full Text]
  22. WHO Expert Consultation. Appropriate body mass index for Asian populations and its implications for policy and intervention strategies. Lancet. 2004; 363: 157–163.[CrossRef][Medline] [Order article via Infotrieve]
  23. Pearson TA, Mensah GA, Alexander RW, Anderson JL, Cannon RO III, Criqui M, Fadl YY, Fortmann SP, Hong Y, Myers GL, Rifai N, Smith SC Jr, Taubert K, Tracy RP, Vinicor F; Centers for Disease Control and Prevention; American Heart Association. Markers of inflammation and cardiovascular disease: application to clinical and public health practice: a statement for healthcare professionals from the Centers for Disease Control and Prevention and the American Heart Association. Circulation. 2003; 107: 499–511.[Free Full Text]
  24. Laurent S, Boutouyrie P, Asmar R, Gautier I, Laloux B, Guize L, Ducimetiere P, Benetos A. Aortic stiffness is an independent predictor of all-cause and cardiovascular mortality in hypertensive patients. Hypertension. 2001; 37: 1236–1241.[Abstract/Free Full Text]
  25. Cruickshank K, Riste L, Anderson SG, Wright JS, Dunn G, Gosling RG. Aortic pulse-wave velocity and its relationship to mortality in diabetes and glucose intolerance: an integrated index of vascular function? Circulation. 2002; 106: 2085–2090.[Abstract/Free Full Text]
  26. Han TS, Sattar N, Williams K, Gonzalez-Villalpando C, Lean ME, Haffner SM. Prospective study of C-reactive protein in relation to the development of diabetes and metabolic syndrome in the Mexico City Diabetes Study. Diabetes Care. 2002; 25: 2016–2021.[Abstract/Free Full Text]
  27. Yasmin J, McEniery CM, Wallace S, Mackenzie IS, Cockcroft JR, Wilkinson IB. C-reactive protein is associated with arterial stiffness in apparently healthy individuals. Arterioscler Thromb Vasc Biol. 2004; 24: 969–974.[Abstract/Free Full Text]
  28. Matsuzawa Y, Funahashi T, Kihara S, Shimomura I. Adiponectin and metabolic syndrome. Arterioscler Thromb Vasc Biol. 2004; 24: 29–33.[Abstract/Free Full Text]
  29. Fernandez-Real JM, Ricart W. Insulin resistance and chronic cardiovascular inflammatory syndrome. Endocr Rev. 2003; 24: 278–301.[Abstract/Free Full Text]
  30. Wadham C, Albanese N, Roberts J, Wang L, Bagley CJ, Gamble JR, Rye KA, Barter PJ, Vadas MA, Xia P. High-density lipoproteins neutralize C-reactive protein proinflammatory activity. Circulation. 2004; 109: 2116–2122.[Abstract/Free Full Text]
  31. Reilly MP, Rader DJ. The metabolic syndrome: more than the sum of its parts? Circulation. 2003; 108: 1546–1551.[Free Full Text]
  32. Lee WY, Park JS, Noh SY, Rhee EJ, Kim SW, Zimmet PZ. Prevalence of the metabolic syndrome among 40,698 Korean metropolitan subjects. Diabetes Res Clin Pract. 2004; 65: 143–149.[CrossRef][Medline] [Order article via Infotrieve]
  33. Anand SS, Razak F, Yi Q, Davis B, Jacobs R, Vuksan V, Lonn E, Teo K, McQueen M, Yusuf S. C-reactive protein as a screening test for cardiovascular risk in a multiethnic population. Arterioscler Thromb Vasc Biol. 2004; 24: 1509–1515.[Abstract/Free Full Text]



This article has been cited by other articles:


Home page
HypertensionHome page
C. Giannattasio, M. Failla, A. Capra, E. Scanziani, M. Amigoni, L. Boffi, C. Whistock, P. Gamba, F. Paleari, and G. Mancia
Increased Arterial Stiffness in Normoglycemic Normotensive Offspring of Type 2 Diabetic Parents
Hypertension, February 1, 2008; 51(2): 182 - 187.
[Abstract] [Full Text] [PDF]


Home page
CJASNHome page
M. Yoshida, H. Tomiyama, J. Yamada, Y. Koji, K. Shiina, M. Nagata, and A. Yamashina
Relationships among Renal Function Loss within the Normal to Mildly Impaired Range, Arterial Stiffness, Inflammation, and Oxidative Stress
Clin. J. Am. Soc. Nephrol., November 1, 2007; 2(6): 1118 - 1124.
[Abstract] [Full Text] [PDF]


Home page
HypertensionHome page
H. Tomiyama, H. Hashimoto, Y. Hirayama, M. Yambe, J. Yamada, Y. Koji, K. Shiina, Y. Yamamoto, and A. Yamashina
Synergistic Acceleration of Arterial Stiffening in the Presence of Raised Blood Pressure and Raised Plasma Glucose
Hypertension, February 1, 2006; 47(2): 180 - 188.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
45/5/997    most recent
01.HYP.0000165018.63523.8av1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
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 Tomiyama, H.
Right arrow Articles by Yamashina, A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Tomiyama, H.
Right arrow Articles by Yamashina, A.
Right arrowPubmed/NCBI databases
*Substance via MeSH
Medline Plus Health Information
*Metabolic Syndrome
Related Collections
Right arrow Lipids
Right arrow Obesity
Right arrow Risk Factors
Right arrow Glucose intolerance
Right arrow Clinical Studies
Right arrow Lipid and lipoprotein metabolism