Skip to main content

Main menu

  • Home
  • Content
    • First Release
    • Current
    • Archives
    • Collections
    • Audiovisual Rheum
    • COVID-19 and Rheumatology
  • Resources
    • Guide for Authors
    • Submit Manuscript
    • Payment
    • Reviewers
    • Advertisers
    • Classified Ads
    • Reprints and Translations
    • Permissions
    • Meetings
    • FAQ
    • Policies
  • Subscribers
    • Subscription Information
    • Purchase Subscription
    • Your Account
    • Terms and Conditions
  • About Us
    • About Us
    • Editorial Board
    • Letter from the Editor
    • Duncan A. Gordon Award
    • Privacy/GDPR Policy
    • Accessibility
  • Contact Us
  • JRheum Supplements
  • Services

User menu

  • My Cart
  • Log In

Search

  • Advanced search
The Journal of Rheumatology
  • JRheum Supplements
  • Services
  • My Cart
  • Log In
The Journal of Rheumatology

Advanced Search

  • Home
  • Content
    • First Release
    • Current
    • Archives
    • Collections
    • Audiovisual Rheum
    • COVID-19 and Rheumatology
  • Resources
    • Guide for Authors
    • Submit Manuscript
    • Payment
    • Reviewers
    • Advertisers
    • Classified Ads
    • Reprints and Translations
    • Permissions
    • Meetings
    • FAQ
    • Policies
  • Subscribers
    • Subscription Information
    • Purchase Subscription
    • Your Account
    • Terms and Conditions
  • About Us
    • About Us
    • Editorial Board
    • Letter from the Editor
    • Duncan A. Gordon Award
    • Privacy/GDPR Policy
    • Accessibility
  • Contact Us
  • Follow jrheum on Twitter
  • Visit jrheum on Facebook
  • Follow jrheum on LinkedIn
  • Follow jrheum on YouTube
  • Follow jrheum on Instagram
  • Follow jrheum on RSS
Research ArticleArticle

High Prevalence of Metabolic Syndrome in Takayasu Arteritis: Increased Cardiovascular Risk and Lower Adiponectin Serum Levels

Thiago Ferreira da Silva, Maurício Levy-Neto, Eloisa Bonfá and Rosa Maria R. Pereira
The Journal of Rheumatology November 2013, 40 (11) 1897-1904; DOI: https://doi.org/10.3899/jrheum.130162
Thiago Ferreira da Silva
From the Rheumatology Division, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Maurício Levy-Neto
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Eloisa Bonfá
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rosa Maria R. Pereira
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: rosamariarp@yahoo.com
  • Article
  • Figures & Data
  • Info & Metrics
  • References
  • PDF
  • eLetters
PreviousNext
Loading

Abstract

Objective. The prevalence of metabolic syndrome (MetS) tends to be high among rheumatic patients, and cardiovascular disease is the leading cause of death in these conditions. We aimed to determine the prevalence of MetS in patients with Takayasu arteritis (TA) and its association with risk factors and adipokine and cytokine levels.

Methods. A cross-sectional study was conducted in 45 consecutive women with TA and 47 healthy controls matched by age and body mass index.

Results. The prevalence of MetS (International Diabetes Federation/American Heart Association criteria) was higher in TA compared to controls (33.34 vs 8.51%, p = 0.003). Patients with TA had a higher frequency of hypertension (p < 0.001) and dyslipidemia (p = 0.001) and higher levels of insulin (p = 0.021), homeostasis model assessment index (p = 0.024), apolipoprotein E (p = 0.029), resistin (p = 0.018), and C-reactive protein (CRP, p < 0.001) compared to healthy subjects, with similar levels of adiponectin and plasminogen activator inhibitor-1 (PAI-1; p > 0.05). Further analysis of patients with TA with and without MetS revealed a higher frequency of overweight/obesity (66.66 vs 26.66%, p = 0.022), higher Framingham score ≥ 1 (p = 0.032), and lower adiponectin levels (20.37 ± 21.16 vs 38.64 ± 22.62 μg/ml, p = 0.022) in the patients with MetS. No differences were found regarding disease duration, activity, glucocorticoid use, resistin, and PAI-1 levels in the 2 groups of patients with TA (p > 0.05). Patients with and without MetS showed no differences in cytokine levels [interleukin 12 (IL-12, IL-1a, IL-6) and tumor necrosis factor-α]. IL-6 had a positive Pearson correlation with CRP only in TA patients with MetS (r = 0.57; p = 0.050).

Conclusion. A high prevalence of MetS was observed in patients with TA and this comorbidity seems to identify a subgroup of overweight/obese patients with high cardiovascular risk without a significant association with disease status. Further longitudinal studies are necessary to observe the effects of controlling this modifiable risk factor in the quality of life and survival of patients with TA.

Key Indexing Terms:
  • TAKAYASU ARTERITIS
  • METABOLIC SYNDROME
  • ADIPONECTIN
  • MORTALITY
  • PREVALENCE

Metabolic syndrome (MetS) is characterized by a combination of several cardiovascular risk factors (age, sex, smoking, hypertension, and dyslipidemia) that imply additional cardiovascular morbidity that is greater than the sum of the risk factors associated with each individual component1,2.

The prevalence of MetS among autoimmune disorders ranges from 14 to 62.8%, and coronary heart disease is the leading cause of death among these patients1,3,4,5. Studies have shown that atherosclerosis is accelerated in patients with rheumatic diseases, especially in systemic vasculitis, although the causal factors have not yet been fully elucidated5,6. In fact, in Takayasu arteritis (TA), enhanced atherosclerosis has been clearly documented by ultrasonography studies showing that atherosclerotic plaques in the carotid artery were about 10 times more frequent than in age-matched, sex-matched controls6.

Adipose tissue seems to play an important role in this process, with the secretion of various hormones called adipokines7,8, which appear to contribute to the so-called “low-grade inflammatory states” that culminate in metabolic cardiovascular diseases6,7 and insulin resistance8. This metabolic disturbance may be aggravated in autoimmune diseases because of the known intense inflammatory process observed in these rheumatic conditions.

TA is an inflammatory chronic vasculitis of unknown etiology, predominantly affecting the aorta and its major branches and pulmonary arteries, producing a variety of ischemic symptoms due to stenosis and thrombosis of large vessels9. We recently reported that TA has a proatherogenic lipid profile, predominantly characterized by low levels of high-density lipoprotein cholesterol (HDL-C) associated with disease activity10, but there are no available data regarding the prevalence of MetS in this vasculitis.

We studied the prevalence of MetS in patients with TA and the associated risk factors, and the levels of adipokines and cytokines.

MATERIALS AND METHODS

Patients

A cross-sectional study was conducted including 45 consecutive premenopausal women with TA according to the American College of Rheumatology criteria11, who were followed at the Vasculitis Outpatient Clinic of the Rheumatology Division of Clinics Hospital, University of São Paulo, São Paulo, Brazil, from August 2009 to July 2011. Exclusion criteria were postmenopausal (based on patient history), renal dysfunction (creatinine clearance < 50 ml/min), thyroid diseases, or any other rheumatic inflammatory diseases. Forty-seven healthy female staff members of the hospital with similar age, weight, and educational level were selected as controls. Comorbidities (except hypertension, diabetes, and dyslipidemia) were exclusion criteria for healthy controls. Data were obtained by retrospective chart review (until December 1999) and from an ongoing electronic database protocol established in January 2000, which was applied to all patients at 1-month to 6-month intervals and consisted of an extensive clinical and laboratory evaluation including the relevant variables for our study: demographic data, anthropometric data [weight, height, body mass index (BMI), and waist circumference (WC)], diagnostic criteria, clinical manifestation, personal and familial risk factors of coronary disease, use of glucocorticoids, clinical and laboratory disease activity, blood pressure, prognostic factors, and treatment. The unified consensus suggests WC ≥ 80 cm for women as thresholds for abdominal obesity among ethnic South and Central Americans12. BMI was calculated based on the formula weight/height2 (kg/m2) and patients were classified in groups: underweight (BMI < 18 kg/m2), normal weight (BMI = 18–24.9 kg/m2), overweight (BMI = 25–29.9 kg/m2), and obese (BMI ≥ 30 kg/m2). Current blood pressure was determined as the average of 2 measurements that were recorded 5 min apart after subjects had rested supine for 10 min, and hypertension was defined by the use of antihypertensive medication or history or current blood pressure higher than 120 mmHg (systolic) or 80 mmHg (diastolic). Family history of premature coronary artery disease (CAD) was defined as myocardial infarction or stroke before age 55 years in men or 65 years in women in a first-degree relative13. The Framingham risk score was applied to estimate the 10-year risk for CAD and expressed as a percentage13.

Clinical activity was defined based on the presence of new onset or worsening of fever or musculoskeletal problems, vascular ischemia or inflammation such as claudication, diminished or absent pulse, bruit, carotidynia, or asymmetric blood pressure14,15. Laboratory activity was characterized by a high erythrocyte sedimentation rate (ESR; > 20 mm/h) and/or C-reactive protein (CRP; > 5 mg/dl) levels in the absence of infection15.

Dyslipidemia was defined as plasma total cholesterol > 200 mg/dl, HDL-C < 40 mg/dl, low-density cholesterol > 130 mg/dl, triglycerides (TG) > 150 mg/dl, or drug treatment for elevated low-density lipoprotein (LDL) or TG13. A sedentary lifestyle was defined by the absence of endurance-type physical activity at least 3 h per week for at least 2 months13. The local ethics committee approved the study, and written informed consent was obtained from patients and controls.

MetS definitions

For the diagnosis of MetS the following criteria were used: US National Cholesterol Education Program/Adult Treatment Panel III (NCEP/ATP III)13, the International Diabetes Federation (IDF)12, and the new criteria proposed in the IDF/American Heart Association (AHA)16 partnership. To compare TA patients and healthy controls, the IDF/AHA definition was applied because of the proposal to harmonize those previous criteria.

Laboratory examinations

Blood samples were obtained from the participants after a 12-h overnight fast. Glucose, thyroid-stimulating hormone, free thyroxine 4, and insulin were also measured. Insulin levels were measured by immunofluorometric assay and reported as μU/ml.

Lipoprotein (a)

Lipoprotein (a) was measured by immunoturbidimetric technique, using a commercial kit (DiaSorin). The instrument calibration was performed using the calibrators supplied by the kit, and cutoff for high levels was established as > 30 mg/dl.

Lipid profile

Total cholesterol and TG in serum samples were measured enzymatically (Boehringer Mannheim and Merck) on a Technicon RA 1000 Analyser (Technicon Instruments)17,18. HDL-C was obtained after precipitation of very LDL-C (VLDL-C) from serum and LDL-C by phosphotungstic acid and magnesium chloride19, and serum levels were determined by the colorimetric method (Roche Diagnostics). Levels of VLDL-C and LDL-C were estimated, because all samples had TG levels < 400 mg/dl19: VLDL-C levels using the TG level/5 ratio (TG/5)20, and LDL-C levels based on the following equation: Embedded Image

Inflammation markers

CRP for all participants was determined by nephelometry, and results were expressed in mg/dl. ESR was evaluated using the modified Westergren method, and results were expressed as mm/h.

Adipokines

Serum adipokines [adiponectin, resistin, and plasminogen activator inhibitor-1 (PAI-1)] were determined by Luminex xMAP Technology, as described elsewhere20.

Cytokines

Serum levels of interleukin 12 (IL-12), IL-1a, IL-6, and tumor necrosis factor-α (TNF-α) were determined by Luminex xMAP Technology.

Insulin resistance

For evaluation of insulin resistance, the homeostasis model assessment index (HOMA-IR) was used. HOMA-IR was calculated according to the formulas in the HOMA model21. HOMA-IR > 3.4 was considered to indicate insulin resistance, as described22.

Statistical analysis

The results were presented as mean (SD) or percentage. The data were analyzed by t test, Mann-Whitney test, or Fisher exact test to assess differences between patients and controls. P values < 0.05 were considered statistically significant.

RESULTS

General characteristics of patients with TA and controls are shown in Table 1. As expected, both groups had comparable age, weight, and BMI. The percentage of overweight/obese participants according to World Health Organization (WHO) classification was also similar in patients and controls. Patients with TA had a more frequent history of hypertension (p < 0.001), dyslipidemia (p = 0.001), and stroke (p = 0.010) compared to controls. Moreover, at study entry patients with TA used more antihypertensive drugs (p < 0.001) and statins (p < 0.001) than did the control group. The current systolic (129 ± 20.65 vs 105.02 ± 14.40 mmHg, p = 0.001) and diastolic (75.90 ± 18.78 vs 68.38 ± 11.17 mmHg, p = 0.021) blood pressures were more elevated in patients than controls (Table 1).

View this table:
  • View inline
  • View popup
Table 1.

Anthropometric data, clinical characteristics, and treatment in patients with Takayasu arteritis (TA) and controls.

The prevalence of MetS was higher in patients than in controls according to IDF/AHA criteria (33.34 vs 8.51%, p = 0.003), NCEP/ATP III criteria (p = 0.003), and IDF criteria (p = 0.025; Table 2). Patients with TA had higher levels of insulin (p = 0.021), HOMA-IR (p = 0.024), apolipoprotein E (p = 0.029), ESR (p < 0.001), and CRP (p < 0.001) compared to healthy subjects. Before statin use, patients with TA presented higher LDL-C levels (148.60 ± 40.33 vs 113.14 ± 49.59 mg/dl, p = 0.001). With regard to adipokines, resistin levels were higher in patients (22.55 ± 12.62 vs 15.94 ± 10.11 ng/ml, p = 0.018) compared to the control group, whereas no difference was observed for adiponectin and PAI-1 levels in these 2 groups (p > 0.05; Table 3). In respect to cytokines, no differences were found between patients with TA and healthy controls (Table 3).

View this table:
  • View inline
  • View popup
Table 2.

Prevalence of metabolic syndrome (MetS) according to different criteria. Values in parentheses are percentages.

View this table:
  • View inline
  • View popup
Table 3.

Laboratory tests, adipokines, and cytokines in patients with Takayasu arteritis (TA) and controls.

Further analysis of TA patients with and without MetS (IDF/AHA) revealed comparable age of onset, weight, and BMI. A high percentage of overweight/obesity was observed in TA patients with MetS compared to TA patients without this comorbidity (66.66 vs 26.26%, p = 0.022). In addition, the former group had larger WC (90.52 ± 7.84 vs 77.40 ± 7.45 cm, p < 0.001). These variables were similar in TA patients with and without MetS (p > 0.05): disease duration, disease activity, remission, months until remission, current and cumulative dose of prednisone, and current and previous use of immunosuppressive drugs. Patients with TA with MetS also presented a higher proportion of Framingham scores ≥ 1 than those without MetS (44.66 vs 16.66%; p = 0.032; Table 4).

View this table:
  • View inline
  • View popup
Table 4.

General characteristics of Takayasu arteritis (TA) in patients with and without metabolic syndrome (MetS) according to International Diabetes Federation/American Heart Association criteria.

Laboratory variable evaluation disclosed higher levels of total cholesterol, LDL-C, insulin, HOMA-IR > 3.4, and apolipoprotein B in patients with MetS compared to controls (p < 0.05). As expected, variables included in MetS criteria (glucose, HDL-C, TG) were also higher in patients with this condition (p < 0.05; Table 5).

View this table:
  • View inline
  • View popup
Table 5.

Laboratory tests, adipokines, and cytokines in Takayasu arteritis (TA) patients with and without metabolic syndrome (MetS) according to International Diabetes Federation/American Heart Association criteria.

Concerning adipokines, TA patients with MetS had lower adiponectin levels than those without MetS (20.37 ± 21.16 vs 38.64 ± 22.62 μg/ml, p = 0.022) while no differences were found with respect to resistin and PAI-1 levels (Table 5). A negative Pearson correlation between adiponectin levels and WC (r = −0.34, p = 0.02) was observed.

Adipokines were not associated with disease duration, disease activity, remission, current and cumulative dose of prednisone, or current and previous use of immunosuppressive drugs (data not shown).

Comparing TA patients with and without MetS, we found no difference in cytokine levels (Table 5).

A positive Pearson correlation was observed between adiponectin and the following laboratory variables in TA patients with MetS: HDL-C (r = 0.68; p = 0.016), TG (r = 0.58; p = 0.048), and glucose (r = 0.58; p = 0.050). TA patients with MetS also showed a positive Pearson correlation between resistin levels and HDL-C (r = 0.78; p = 0.003).

Concerning cytokine levels, IL-6 had a positive Pearson correlation with CRP only in TA patients with MetS (r = 0.57; p = 0.050). TA patients without MetS presented positive correlation between IL-1a and resistin (r = 0.60; p = 0.001) as well as between TNF-α and systolic blood pressure (r = 0.47; p = 0.040; Table 6).

View this table:
  • View inline
  • View popup
Table 6.

Correlation between cytokines, anthropometrical data, and laboratory tests in Takayasu arteritis (TA) patients with and without metabolic syndrome (MetS) according to International Diabetes Federation/American Heart Association criteria.

DISCUSSION

To our knowledge, this is the first reported study of high frequency of MetS in patients with TA.

An advantage of the present study was the inclusion of only premenopausal women matched for age and BMI variables with healthy controls, because these variables are risk factors for MetS23.

Data available on general prevalence of MetS in the Brazilian female population show higher frequency of this condition than data found in healthy controls in the present study24,25. This may be explained by the fact that our healthy control group had a high level of education (> 9 yrs), were younger, and presented lower BMI compared to other surveys24,25.

The observed prevalence is also higher than that reported for patients with systemic lupus erythematosus (SLE)26,27,28 and is similar to that found in rheumatoid arthritis (RA)29, Sjögren syndrome30, and primary antiphospholipid syndrome31. Regarding antineutrophil cytoplasmic antibody-associated vasculitis (AAV), the prevalence of MetS was higher than in patients with TA32. Because patients with TA evaluated herein were younger compared to the patients described in these rheumatic diseases, other factors besides age are possibly involved in the prevalence of this metabolic condition, such as other known associated comorbidities including systemic arterial hypertension.

It is interesting that patients with TA and healthy controls had comparable WC and HDL-C. This observation could be explained by several factors: first, the matched BMI between patients and controls may explain the similar WC; second, the statin use in almost half of patients with TA could explain similar levels of cholesterol between patients with TA and controls. Moreover, the literature regarding MetS and other forms of vasculitis also revealed that fewer criteria were fulfilled for the diagnosis of MetS comparing patients and controls, suggesting that some conditions are more relevant for the diagnosis of this comorbidity in vasculitis32.

Concerning adiponectin, a protein almost exclusively synthesized by adipocytes with an established systemic antiinflammatory effect33, we did not observe any difference between patients and controls, and this finding is almost certainly related to the fact that patients and controls had similar BMI, weight, and percentage of WHO BMI classification. Although insulin, HOMA-IR, and apolipoprotein E levels were higher in patients with TA than controls, the prevalence of diabetes, another risk factor that has been associated with elevated adiponectin concentration, was similar in both groups8.

By contrast, resistin — an adipokine induced by several proinflammatory cytokines34 — was higher in patients with TA than in healthy controls. In fact, studies conducted in other forms of vasculitis, such as Kawasaki disease35 and Behçet disease36, showed higher resistin levels than healthy controls but no differences in adiponectin levels. Further, increased levels of resistin serum were also found in patients with other rheumatic disease such as SLE37 and RA, and in the latter disease this adipokine was correlated with CRP and disease activity38. Accordingly, CRP levels observed herein were higher in patients with TA than in controls.

Further evaluation of TA patients with and without MetS revealed lower adiponectin levels in the former group. This finding is probably due to a higher proportion of overweight/obesity and insulin resistance found in patients with MetS. In fact, this adipokine has an insulin-sensitizing effect related to an increased fatty acid oxidation on skeletal muscles and inhibition of gluconeogenesis in liver and other tissues reducing glucose synthesis8,39,40. Sanjari, et al also identified that a lower level of adiponectin was a good predictor for MetS in women41. Further, serum levels of adiponectin were inversely correlated with HOMA-IR in patients with SLE20.

TA patients with and without MetS showed similar resistin levels, probably because inflammatory markers and frequency of disease activity had not presented differences in these subgroups.

Surprisingly, we observed no association between steroids and MetS, and this finding is in agreement with most studies in other rheumatic diseases, including SLE27,42,43, RA44,45, and AAV32. Further, these findings may be related to low current and cumulative doses of glucocorticoids in patients with TA, suggesting that most patients had mild to moderate disease in our study. This may, however, give clues to how inflammation and metabolic factors interact in patients with TA and is a subject worthy of further study. We observed that the disease and its treatment did not seem to be a major trigger for this condition in patients with TA.

In fact, overweight/obesity was identified as the main component of this syndrome in TA, reinforced by the finding of a negative correlation between WC and adiponectin levels observed in our patients with TA and also in women with MetS39. In addition, these patients also had a higher frequency of Framingham scores, emphasizing the relevance of evaluating this underrecognized disturbance in TA.

No differences regarding cytokines and presence or absence of MetS were found. However, we found a positive correlation between CRP and IL-6 levels only in TA patients with MetS. As many authors have shown, IL-6 is an important marker for disease activity46,47, these data may denote an indirect association between disease activity in TA and the presence of MetS.

A high prevalence of MetS was observed in patients with TA, and this comorbidity seems to identify a subgroup of overweight/obese patients with high cardiovascular risk without a significant association with disease status. Further longitudinal studies are necessary to observe the effect of controlling this modifiable risk factor on the quality of life and survival of patients with TA.

Footnotes

  • Supported by grants from Conselho Nacional de Desenvolvimento Científico e Tecnológico (#301411/2009-3 to EB and #300559/2009-7 to RMRP), and Federico Foundation (to EB and RMRP).

  • Accepted for publication July 23, 2013.

REFERENCES

  1. 1.↵
    1. Pereira RM,
    2. Carvalho JF,
    3. Bonfá E
    . Metabolic syndrome in rheumatological diseases. Autoimmun Rev 2009;8:415–9.
    OpenUrlCrossRefPubMed
  2. 2.↵
    1. Alberti KG,
    2. Zimmet PZ
    . Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med 1998;15:539–53.
    OpenUrlCrossRefPubMed
  3. 3.↵
    1. Abou-Raya A,
    2. Abou-Raya S
    . Inflammation: a pivotal link between auto-immune diseases and atherosclerosis. Autoimmun Rev 2006;5:331–7.
    OpenUrlCrossRefPubMed
  4. 4.↵
    1. Pincus T,
    2. Callahan LF
    . Taking mortality in rheumatic arthritis seriously — predictive markers, socioeconomic status and comorbidity. J Rheumatol 1986;13:841–5.
    OpenUrlPubMed
  5. 5.↵
    1. Manzi S,
    2. Meilahn EN,
    3. Rairie JE,
    4. Conte CG,
    5. Medsger TA Jr.,
    6. Jansen-McWilliams L,
    7. et al.
    Age-specific incidence rates of myocardial infarction and angina in women with systemic lupus erythematosus: comparison with the Framingham Study. Am J Epidemiol 1997;145:408–15.
    OpenUrlAbstract/FREE Full Text
  6. 6.↵
    1. Cohen Tervaert JW
    . Cardiovascular disease due to accelerated atherosclerosis in systemic vasculitides. Best Pract Res Clin Rheumatol 2013;27:33–44.
    OpenUrlCrossRef
  7. 7.↵
    1. Scherer PE
    . Adipose tissue: from lipid storage compartment to endocrine organ. Diabetes 2006;55:1537–45.
    OpenUrlAbstract/FREE Full Text
  8. 8.↵
    1. Scotece M,
    2. Conde J,
    3. Gómez R,
    4. López V,
    5. Lago F,
    6. Gómez-Reino JJ,
    7. et al.
    Beyond Fat Mass: exploring the role of adipokines in rheumatic diseases. Scientific World Journal 2011;11:1932–47.
    OpenUrlCrossRefPubMed
  9. 9.↵
    1. Tann OR,
    2. Tulloh RM,
    3. Hamilton MC
    . Takayasu’s disease: a review. Cardiol Young 2008;18:250–9.
    OpenUrlPubMed
  10. 10.↵
    1. Carvalho JF,
    2. Bonfa E,
    3. Bezerra MC,
    4. Pereira RMR
    . High frequency of lipoprotein risk levels for cardiovascular disease in Takayasu arteritis. Clin Rheumatol 2009;28:801–5.
    OpenUrlCrossRefPubMed
  11. 11.↵
    1. Arend WP,
    2. Michel BA,
    3. Bloch DA,
    4. Hunder GG,
    5. Calabrese LH,
    6. Edworthy SM,
    7. et al.
    The American College of Rheumatology 1990 criteria for the classification of Takayasu arteritis. Arthritis Rheum 1990;33:1129–34.
    OpenUrlPubMed
  12. 12.↵
    1. Alberti KG,
    2. Zimmet PZ,
    3. Shaw J
    . The metabolic syndrome — a new worldwide definition. Lancet 2005;366:1059–62.
    OpenUrlCrossRefPubMed
  13. 13.↵
    Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation and Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III). JAMA 2001;285:2486–97.
    OpenUrlCrossRefPubMed
  14. 14.↵
    1. Kerr GS,
    2. Hallahan CW,
    3. Giordano J,
    4. Leavitt RY,
    5. Fauci AS,
    6. Rottem M,
    7. et al.
    Takayasu arteritis. Ann Intern Med 1994;120:919–29.
    OpenUrlCrossRefPubMed
  15. 15.↵
    1. Bezerra MC,
    2. Calomeni GD,
    3. Caparbo VF,
    4. Gebrim ES,
    5. Rocha MS,
    6. Pereira RM
    . Low bone density and low serum levels of soluble RANK ligand are associated with severe arterial calcification in patients with Takayasu arteritis. Rheumatology 2005;44:1503–6.
    OpenUrlAbstract/FREE Full Text
  16. 16.↵
    1. Alberti KG,
    2. Eckel RH,
    3. Grundy SM,
    4. Zimmet PZ,
    5. Cleeman JI,
    6. Donato KA,
    7. et al.
    Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 2009;120:1640–5.
    OpenUrlAbstract/FREE Full Text
  17. 17.↵
    1. Siedel J,
    2. Hagele EO,
    3. Ziegenhorn J,
    4. Wahlefeld AW
    . Reagent for the enzymatic determination of serum total cholesterol with improved lipolytic efficiency. Clin Chem 1983;29:1075–80.
    OpenUrlAbstract/FREE Full Text
  18. 18.↵
    1. Warnick GR,
    2. Cheung NC,
    3. Albers JJ
    . Comparison of current methods for high density lipoprotein cholesterol quantification. Clin Chem 1979;25:596–604.
    OpenUrlAbstract/FREE Full Text
  19. 19.↵
    1. Friedwald WT,
    2. Levy RI,
    3. Fredrickson DS
    . Estimation of the concentration of low density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem 1972;18:499–502.
    OpenUrlAbstract/FREE Full Text
  20. 20.↵
    1. Sada KE,
    2. Yamasaki Y,
    3. Maruyama M,
    4. Sugiyama H,
    5. Yamamura M,
    6. Maeshima Y,
    7. et al.
    Altered levels of adipocytokines in association with insulin resistance in patients with systemic lupus erythematosus. J Rheumatol 2006;33:1545–52.
    OpenUrlAbstract/FREE Full Text
  21. 21.↵
    1. Matthews DR,
    2. Hosker JP,
    3. Rudenski AS,
    4. Naylor BA,
    5. Treacher DF,
    6. Turner RC
    . Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 1985;28:412–9.
    OpenUrlCrossRefPubMed
  22. 22.↵
    1. Yokoyama H,
    2. Hirose H,
    3. Ohgo H,
    4. Saito I
    . Associations among lifestyle, serum adiponectin level and insulin resistance. Intern Med 2004;43:453–7.
    OpenUrlCrossRefPubMed
  23. 23.↵
    1. Barzilai N,
    2. Huffman DM,
    3. Muzumdar RH,
    4. Bartke A
    . The critical role of metabolic pathways in aging. Diabetes 2012;61:1315–22.
    OpenUrlAbstract/FREE Full Text
  24. 24.↵
    1. Dutra ES,
    2. de Carvalho KM,
    3. Miyazaki E,
    4. Hamann EM,
    5. Ito MK
    . Metabolic syndrome in central Brazil: prevalence and correlates in the adult population. Diabetol Metab Syndr 2012;4:20.
    OpenUrlCrossRefPubMed
  25. 25.↵
    1. Marquezine GF,
    2. Oliveira CM,
    3. Pereira AC,
    4. Krieger JE,
    5. Mill JG
    . Metabolic syndrome determinants in an urban population from Brazil: social class and gender-specific interaction. Int J Cardiol 2008;129:259–65.
    OpenUrlCrossRefPubMed
  26. 26.↵
    1. Azevedo GD,
    2. Gadelha RG,
    3. Vilar MJ
    . Metabolic syndrome in systemic lupus erythematosus: lower prevalence in Brazil than in the USA. Ann Rheum Dis 2007;66:1542.
    OpenUrlFREE Full Text
  27. 27.↵
    1. Sabio J,
    2. Zamora-Pasadas M,
    3. Jiménez-Jáimez J,
    4. Albadalejo F,
    5. Vargas-Hitos J,
    6. Rodríguez Del Aguila M,
    7. et al.
    Metabolic syndrome in patients with systemic lupus erythematosus from Southern Spain. Lupus 2008;17:849–59.
    OpenUrlAbstract/FREE Full Text
  28. 28.↵
    1. Bultink IE,
    2. Turkstra F,
    3. Diamant M,
    4. Dijkmans BA,
    5. Voskuyl AE
    . Prevalence of and risk factors for the metabolic syndrome in women with systemic lupus erythematosus. Clin Exp Rheumatol 2008;26:32–8.
    OpenUrlPubMed
  29. 29.↵
    1. Karvounaris SA,
    2. Sidiropoulos PI,
    3. Papadakis JA,
    4. Spanakis EK,
    5. Bertsias GK,
    6. Kritikos HD,
    7. et al.
    Metabolic syndrome is common among middle-to-older aged Mediterranean patients with rheumatoid arthritis and correlates with disease activity: a retrospective, cross-sectional, controlled, study. Ann Rheum Dis 2007;66:28–33.
    OpenUrlAbstract/FREE Full Text
  30. 30.↵
    1. Ramos-Casals M,
    2. Brito-Zerón P,
    3. Sisó A,
    4. Vargas A,
    5. Ros E,
    6. Bove A,
    7. et al.
    High prevalence of serum metabolic alterations in primary Sjögren’s syndrome: influence on clinical and immunological expression. J Rheumatol 2007;34:54–61.
    OpenUrlAbstract/FREE Full Text
  31. 31.↵
    1. Rodrigues CE,
    2. Bonfá E,
    3. Caleiro MT,
    4. Vendramini MB,
    5. Bueno C,
    6. Lopes JB,
    7. et al.
    Association of arterial events with the coexistence of metabolic syndrome and primary antiphospholipid syndrome. Arthritis Care Res 2012;64:1576–83.
    OpenUrlCrossRef
  32. 32.↵
    1. Petermann Smits DR,
    2. Wilde B,
    3. Kianersi Adegani M,
    4. de Jongh H,
    5. van Paassen P,
    6. Cohen Tervaert JW
    . Metabolic syndrome in ANCA-associated vasculitis. Rheumatology 2013;52:197–203.
    OpenUrlAbstract/FREE Full Text
  33. 33.↵
    1. Gremese E,
    2. Ferraccioli G
    . The metabolic syndrome: the crossroads between rheumatoid arthritis and cardiovascular risk. Autoimmun Rev 2011;10:582–9.
    OpenUrlCrossRefPubMed
  34. 34.↵
    1. Bokarewa M,
    2. Nagaev I,
    3. Dahlberg L,
    4. Smith U,
    5. Tarkowski A
    . Resistin, an adipokine with potent proinflammatory properties. J Immunol 2005;174:5789–95.
    OpenUrlAbstract/FREE Full Text
  35. 35.↵
    1. Kemmotsu Y,
    2. Saji T,
    3. Kusunoki N,
    4. Tanaka N,
    5. Nishimura C,
    6. Ishiguro A,
    7. et al.
    Serum adipokine profiles in Kawasaki disease. Mod Rheumatol 2012;22:66–72.
    OpenUrlCrossRefPubMed
  36. 36.↵
    1. Kim SK,
    2. Choe JY,
    3. Park SH,
    4. Lee SW,
    5. Lee GH,
    6. Chung WT
    . Increased insulin resistance and serum resistin in Korean patients with Behçet’s disease. Arch Med Res 2010;41:269–74.
    OpenUrlCrossRefPubMed
  37. 37.↵
    1. Almehed K,
    2. d’Elia HF,
    3. Bokarewa M,
    4. Carlsten H
    . Role of resistin as a marker of inflammation in systemic lupus erythematosus. Arthritis Res Ther 2008;10:R15.
    OpenUrlCrossRefPubMed
  38. 38.↵
    1. Senolt L,
    2. Housa D,
    3. Vernerová Z,
    4. Jirásek T,
    5. Svobodová R,
    6. Veigl D,
    7. et al.
    Resistin in rheumatoid arthritis synovial tissue, synovial fluid and serum. Ann Rheum Dis 2007;66:458–63.
    OpenUrlAbstract/FREE Full Text
  39. 39.↵
    1. Stofkova A
    . Leptin and adiponectin: from energy and metabolic dysbalance to inflammation and autoimmunity. Endocr Regul 2009;43:157–68.
    OpenUrlPubMed
  40. 40.↵
    1. Lago F,
    2. Gómez R,
    3. Conde J,
    4. Scotece M,
    5. Gómez-Reino JJ,
    6. Gualillo O
    . Cardiometabolic comorbidities and rheumatic diseases: focus on the role of fat mass and adipokines. Arthritis Care Res 2011;63:1083–90.
    OpenUrlCrossRef
  41. 41.↵
    1. Sanjari M,
    2. Khodashahi M,
    3. Gholamhoseinian A,
    4. Shokoohi M
    . Association of adiponectin and metabolic syndrome in women. J Res Med Sci 2011;16:1532–40.
    OpenUrlPubMed
  42. 42.↵
    1. Sabio JM,
    2. Vargas-Hitos J,
    3. Zamora-Pasadas M,
    4. Mediavilla JD,
    5. Navarrete N,
    6. Ramirez A,
    7. et al.
    Metabolic syndrome is associated with increased arterial stiffness and biomarkers of subclinical atherosclerosis in patients with systemic lupus erythematosus. J Rheumatol 2009;36:2204–11.
    OpenUrlAbstract/FREE Full Text
  43. 43.↵
    1. Bellomio V,
    2. Spindler A,
    3. Lucero E,
    4. Berman A,
    5. Sueldo R,
    6. Berman H,
    7. et al.
    Metabolic syndrome in Argentinean patients with systemic lupus erythematosus. Lupus 2009;18:1019–25.
    OpenUrlAbstract/FREE Full Text
  44. 44.↵
    1. Cunha VR,
    2. Brenol CV,
    3. Brenol JC,
    4. Fuchs SC,
    5. Arlindo EM,
    6. Melo IM,
    7. et al.
    Metabolic syndrome prevalence is increased in rheumatoid arthritis patients and is associated with disease activity. Scand J Rheumatol 2012;41:186–91.
    OpenUrlCrossRefPubMed
  45. 45.↵
    1. Toms TE,
    2. Panoulas VF,
    3. Douglas KM,
    4. Griffiths HR,
    5. Kitas GD
    . Lack of association between glucocorticoid use and presence of the metabolic syndrome in patients with rheumatoid arthritis: a cross-sectional study. Arthritis Res Ther 2008;10:R145.
    OpenUrlCrossRefPubMed
  46. 46.↵
    1. Noris M,
    2. Daina E,
    3. Gamba S,
    4. Bonazzola S,
    5. Remuzzi G
    . Interleukin-6 and RANTES in Takayasu arteritis: a guide for therapeutic decisions? Circulation 1999;100:55–60.
    OpenUrlAbstract/FREE Full Text
  47. 47.↵
    1. Sun Y,
    2. Ma L,
    3. Yan F,
    4. Liu H,
    5. Ding Y,
    6. Hou J,
    7. et al.
    MMP-9 and IL-6 are potential biomarkers for disease activity in Takayasu’s arteritis. Int J Cardiol 2012;156:236–8.
    OpenUrlCrossRefPubMed
PreviousNext
Back to top

In this issue

The Journal of Rheumatology
Vol. 40, Issue 11
1 Nov 2013
  • Table of Contents
  • Table of Contents (PDF)
  • Index by Author
  • Editorial Board (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word about The Journal of Rheumatology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
High Prevalence of Metabolic Syndrome in Takayasu Arteritis: Increased Cardiovascular Risk and Lower Adiponectin Serum Levels
(Your Name) has forwarded a page to you from The Journal of Rheumatology
(Your Name) thought you would like to see this page from the The Journal of Rheumatology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
High Prevalence of Metabolic Syndrome in Takayasu Arteritis: Increased Cardiovascular Risk and Lower Adiponectin Serum Levels
Thiago Ferreira da Silva, Maurício Levy-Neto, Eloisa Bonfá, Rosa Maria R. Pereira
The Journal of Rheumatology Nov 2013, 40 (11) 1897-1904; DOI: 10.3899/jrheum.130162

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero

 Request Permissions

Share
High Prevalence of Metabolic Syndrome in Takayasu Arteritis: Increased Cardiovascular Risk and Lower Adiponectin Serum Levels
Thiago Ferreira da Silva, Maurício Levy-Neto, Eloisa Bonfá, Rosa Maria R. Pereira
The Journal of Rheumatology Nov 2013, 40 (11) 1897-1904; DOI: 10.3899/jrheum.130162
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
    • Abstract
    • MATERIALS AND METHODS
    • RESULTS
    • DISCUSSION
    • Footnotes
    • REFERENCES
  • Figures & Data
  • Info & Metrics
  • References
  • PDF
  • eLetters

Keywords

TAKAYASU ARTERITIS
METABOLIC SYNDROME
ADIPONECTIN
MORTALITY
PREVALENCE

Related Articles

Cited By...

More in this TOC Section

  • One-Third of European Patients with Axial Spondyloarthritis Reach Pain Remission With Routine Care Tumor Necrosis Factor Inhibitor Treatment
  • Oral Antiviral Treatment for COVID-19 in Patients With Systemic Autoimmune Rheumatic Diseases
  • The Positive Predictive Value of a Very High Serum IgG4 Concentration for the Diagnosis of IgG4-Related Disease
Show more Articles

Similar Articles

Keywords

  • Takayasu arteritis
  • metabolic syndrome
  • ADIPONECTIN
  • mortality
  • prevalence

Content

  • First Release
  • Current
  • Archives
  • Collections
  • Audiovisual Rheum
  • COVID-19 and Rheumatology

Resources

  • Guide for Authors
  • Submit Manuscript
  • Author Payment
  • Reviewers
  • Advertisers
  • Classified Ads
  • Reprints and Translations
  • Permissions
  • Meetings
  • FAQ
  • Policies

Subscribers

  • Subscription Information
  • Purchase Subscription
  • Your Account
  • Terms and Conditions

More

  • About Us
  • Contact Us
  • My Alerts
  • My Folders
  • Privacy/GDPR Policy
  • RSS Feeds
The Journal of Rheumatology
The content of this site is intended for health care professionals.
Copyright © 2022 by The Journal of Rheumatology Publishing Co. Ltd.
Print ISSN: 0315-162X; Online ISSN: 1499-2752
Powered by HighWire