help button home button Endocrine Society JCEM
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS

Journal of Clinical Endocrinology & Metabolism , doi:10.1210/jc.2006-2283
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Submit a related Letter to the Editor
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
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 Copyright Permission
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Dovio, A.
Right arrow Articles by Angeli, A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Dovio, A.
Right arrow Articles by Angeli, A.
Right arrowPubmed/NCBI databases
*Compound via MeSH
*Substance via MeSH
Medline Plus Health Information
*Cushing's Syndrome
Hazardous Substances DB
*HYDROCORTISONE
Related Collections
Right arrow Adrenal and Hypertension
Right arrow Cardiovascular Endocrinology
The Journal of Clinical Endocrinology & Metabolism Vol. 92, No. 5 1803-1808
Copyright © 2007 by The Endocrine Society

Increased Osteoprotegerin Levels in Cushing’s Syndrome Are Associated with an Adverse Cardiovascular Risk Profile

Andrea Dovio, Barbara Allasino, Enrico Palmas, Massimo Ventura, Anna Pia, Laura Saba, Emiliano Aroasio, Massimo Terzolo and Alberto Angeli

Medicina Interna I (A.D., B.A., E.P., M.V., L.S., M.T., A.A.), Dipartimento di Scienze Cliniche e Biologiche, Università di Torino, Turin, Italy; Laboratorio Analisi (E.A.), Azienda Sanitaria Ospedaliera San Luigi, I-10043 Orbassano-Turin, Italy; and Endocrinologia (A.P.), Azienda Sanitaria Ospedaliera Santa Croce e Carle, I-12100 Cuneo, Italy

Address all correspondence and requests for reprints to: Andrea Dovio, Medicina Interna I, Dipartimento di Scienze Cliniche e Biologiche, Università degli Studi di Torino, Reg. Gonzole 10, 10043 Orbassano-Torino, Italy. E-mail: andrea.dovio{at}unito.it.


    Abstract
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Context: Patients with Cushing’s syndrome (CS) have a mortality rate four times higher than age- and sex-matched subjects, mainly due to cardiovascular events. Serum osteoprotegerin (OPG) levels are increased in patients with cardiovascular disease and/or excess bone resorption.

Objective: The aim of the study was to assess serum OPG and soluble receptor activator of nuclear factor-{kappa}B ligand (sRANKL) levels in CS and their possible relationship with coronary risk profile.

Design and Setting: We conducted a cross-sectional study at a tertiary referral center.

Patients: We studied 48 adult patients with CS and 48 age- and sex-matched controls. Twenty-six patients had pituitary-dependent CS; five patients had CS caused by ectopic ACTH secretion; and 17 patients had adrenal-dependent CS, accounted for by cortisol-secreting adenoma (n = 9), ACTH-independent macronodular bilateral adrenal hyperplasia (n = 4), or World Health Organization stage II cortisol-secreting carcinoma (n = 4). Patients underwent assessment of the absolute coronary risk and measurement of bone mineral density by dual-energy x-ray absorptiometry. Serum OPG and total sRANKL were measured by ELISA.

Results: Serum OPG (but not sRANKL) levels were significantly higher in CS patients than in controls (P < 0.01). In patients, serum OPG showed a positive correlation with age (r = 0.36; P = 0.01). OPG levels were higher in patients with the metabolic syndrome [median, 1262 (range, 199-2306) pg/ml vs. 867 (412–2479) pg/ml; P = 0.03], and showed a positive correlation with the absolute coronary risk (r = 0.36; P = 0.01). Serum OPG levels were higher in patients with pituitary-dependent CS in comparison with adrenal-dependent CS.

Conclusions: In patients with CS, serum OPG levels are increased and appear to be associated with coronary risk.


    Introduction
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
THE IDENTIFICATION OF the signaling system consisting of the receptor activator of nuclear factor-{kappa}B ligand (RANKL), its receptor RANK, and its decoy receptor osteoprotegerin (OPG) has been followed by the acknowledgment of its major role in skeletal, vascular, and immune systems. In the bone microenvironment, the binding of RANKL to its cognate receptor RANK on cells of the hematopoietic lineage promotes differentiation and fusion of mononuclear osteoclast precursors to multinucleated cells and then activation of the multinucleated osteoclasts to resorb bone. OPG binds to RANKL, thus preventing RANKL-RANK interaction. The RANKL/OPG balance is the main determinant of osteoclast number and activity, and modulation of RANKL and OPG expression represents the common final pathway for a number of osteotropic signals involved in the regulation of bone resorption (1, 2).

The availability of specific antibodies has made it possible to measure the levels of OPG and, more recently, soluble RANKL (sRANKL) in a number of biological fluids (3, 4). Early studies have unexpectedly found that serum OPG levels were increased in many patients with excess bone resorption. This was attributed to inadequate compensatory response to increased osteoclast activity, increased bone turnover, and associated diseases that could alter release or fate of OPG in the blood stream. However, data on the correlations of serum OPG levels with bone density and resorption markers were inconsistent (3, 4). Indeed, circulating OPG and sRANKL conceivably derive from several sources and do not merely reflect concentrations in the bone microenvironment (1, 3, 4).

The finding of arterial calcifications in OPG knockout mice was the first clue in the investigation of the role of this molecule in the vascular microenvironment. Subsequent in vitro studies have shown that OPG is expressed by both endothelial and vascular smooth muscle cells (VSMC), protects endothelial cells from apoptosis induced by the TNF-related apoptosis-inducing ligand, and possibly prevents RANKL-induced osteogenic differentiation of VSMC, a key event of vascular calcification (5). Finally, recent studies in mice deficient in both OPG and apolipoprotein E [OPG(–/–). ApoE(–/–) double knockout mice] have shown that OPG inhibits advanced plaque progression by preventing an increase in lesion size and calcification (6). Because of the enormous surface area of endothelium throughout the body, it is reasonable that endothelial cells, even if they release remarkably lower amounts of the molecule compared with cells of the osteoblastic lineage, significantly contribute to circulating OPG levels. Accordingly, the increase of serum OPG in patients with increased cardiovascular risk was suggested to reflect an inadequate compensatory response of the endothelium to damaging events (1, 4).

Patients with Cushing’s syndrome (CS) have a mortality rate four times higher than age- and sex-matched subjects, mainly due to cardiovascular events. Chronic hypercortisolism is associated with a cluster of cardiovascular risk factors such as arterial hypertension, impaired glucose tolerance or diabetes, central obesity, dyslipidemia, and hypercoagulability. Moreover, the prevalence of osteoporosis in adult patients with CS is approximately 50%, with 30–50% of patients experiencing pathological fractures (7, 8).

In vitro, glucocorticoids (GCs) inhibit OPG and stimulate RANKL expression in different cell types, including osteoblasts (1, 9). In vivo, short-term GC administration reduces serum OPG concentrations (10), whereas long-term administration of GCs was found to be associated with increased levels (11, 12). To date, however, only a single study has addressed the issue of serum OPG levels in CS (13), whereas to the best of our knowledge there are no data on serum sRANKL.

The aim of the present study was to measure serum OPG and sRANKL levels in a group of 48 adult patients with CS and to assess their possible relationships with coronary risk profile.


    Subjects and Methods
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Subjects

Forty-eight patients [19 men and 29 women; median age, 53 yr (range, 19–79 yr)] with overt CS referred to our center from 1995 to 2006 were studied. Exclusion criteria were history of diseases affecting bone, prolonged immobilization (>3 wk), and/or treatment with any drug documented to influence bone metabolism in humans in the previous 6 months.

Twenty-six patients had pituitary-dependent CS (or Cushing’s disease); five patients had CS caused by ectopic ACTH secretion; 17 patients had adrenal-dependent CS, accounted for by cortisol-secreting adenoma (n = 9), ACTH-independent macronodular bilateral adrenal hyperplasia (n = 4), or World Health Organization stage II cortisol-secreting carcinoma (n = 4). The ectopic ACTH secretion was caused by well-differentiated neuroendocrine tumors. All patients were evaluated in an active phase of the disease, and none of them was receiving drugs known to alter the hypothalamic-pituitary-adrenal axis. Twenty-eight patients were taking antihypertensive drugs as single agents or combination regimens: angiotensin I-converting enzyme inhibitors (n = 12), ß-blockers (n = 12), diuretics (n = 12), calcium channel blockers (n = 11), {alpha}-1 adrenergic blockers (n = 4), and angiotensin II receptor blockers (n = 2). Seven patients were on statins, and two were on estrogens.

The diagnosis of CS was made on the basis of clinical features and standard hormonal and radiological criteria. For Cushing’s disease, the diagnosis was confirmed by finding a pituitary adenoma with positive ACTH staining at pathological examination or by the occurrence of postoperative adrenal insufficiency that lasted for at least 6 months. In all cases of ectopic ACTH syndrome and adrenal-dependent CS, the diagnosis was histologically confirmed by pathological findings and occurrence of postoperative adrenal insufficiency.

A total of 48 age- and sex-matched healthy subjects [19 men and 29 women; median age, 52.5 yr (range, 21–79 yr)] were recruited as controls among blood donors and healthy volunteers from 2002 to 2006. None of the controls were receiving medications or had medical conditions known to affect bone metabolism. Twelve control subjects were on antihypertensive drugs: diuretics (n = 4), angiotensin I-converting enzyme inhibitors (n = 2), angiotensin II receptor blockers (n = 3), ß-blockers (n = 2), and {alpha}-1 adrenergic blockers (n = 1); three subjects were on statins.

Study protocol was prepared according to the Declaration of Helsinki and subsequent relevant integrations; all patients and controls gave written informed consent to participation, and approval by the local ethical committee was obtained.

Methods

Patients underwent complete physical examination, routine laboratory evaluation, dual-energy x-ray absorptiometry (DXA) on lumbar spine and femur, and endocrine work-up aimed to assess the function of the hypothalamic-pituitary-adrenal axis, as previously reported (14). Briefly, the patients underwent measurement of 1) serum cortisol at 0800 and 2400 h; 2) 24-h excretion of urinary free cortisol; 3) serum cortisol after overnight 1 and 8 mg dexamethasone; and 4) serum cortisol and plasma ACTH after ovine CRH test. Premenopausal women were studied in the early follicular phase of the menstrual cycle.

Assays

Blood samples for OPG and sRANKL measurement were drawn in the morning (0800–1000 h) from an antecubital vein. Serum OPG concentrations were measured by an ELISA developed in our laboratory using commercially available reagents (OPG DuoSet; R&D Systems, Abingdon, UK), with range 62.5–4000 pg/ml, minimum detectable concentration less than 30 pg/ml, and intra- and interassay coefficients of variation (CV) less than 5 and 13.5%, respectively. Serum total sRANKL concentrations were measured by a commercially available ELISA kit (Immundiagnostik, Bensheim, Germany) with range 133-3600 pg/ml, minimum detectable concentration less than 50 pg/ml, and intra- and interassay CV less than 5 and 10%, respectively.

Hormones were measured by RIA or immunoradiometric assay methods, using commercially available kits as previously described (14). All samples for an individual subject were determined in the same laboratory, in a single assay, in duplicate. Intra- and interassay CV for all hormones were less than 5 and 10%, respectively. Routine clinical chemistry variables were determined using standard methods.

DXA

Bone densitometry was performed by DXA using the Hologic QDR 4500 W instrument (Hologic, Inc., Waltham, MA; software version 9.03), with long-term CV of 0.46% at the spine using the Hologic Anthropometric Spine Phantom; and with short-term in vivo CV of 1 and 1.5% for spine and hip, respectively. Data were analyzed using absolute bone mineral density (BMD) values (grams per square centimeter), T-score and Z-score (referred to the manufacturer’s normative data for lumbar spine and to the National Health and Nutrition Examination Survey III dataset for the hip). The classical World Health Organization (WHO) criteria were used to define the conditions of normality, osteopenia, and osteoporosis (T-score above –1, between –1 and –2.5, or below –2.5, respectively).

Metabolic syndrome and cardiovascular risk

Metabolic syndrome was defined using National Cholesterol Education Program-Adult Treatment Panel III criteria (at least three of the following: fasting glucose ≥ 110 mg/dl or treatment with antidiabetic drugs; blood pressure ≥ 130/85 mm Hg or treatment with antihypertensive agents; triglycerides ≥ 150 mg/dl; HDL < 40 mg/dl in women or < 50 mg/dl in men; and abdominal obesity, with waist circumference > 102 cm in men, > 88 cm in women) (15). Absolute coronary risk was estimated using a software developed by the Italian Society for the Study of Atherosclerosis, which estimates absolute coronary risk at 10 yr based on age, sex, blood pressure, total and HDL cholesterol, smoking status, diabetes, and left ventricular hypertrophy (16). Any subject with systolic blood pressure greater than 140 mm Hg, diastolic blood pressure greater than 90 mm Hg, or on antihypertensive treatment was categorized as hypertensive (17). Blood pressure was the average of two seated measurements taken with 5 min of rest by a physician using standardized techniques. Diabetes mellitus was diagnosed if a subject was on insulin or hypoglycemic agents or when the subject’s plasma glucose was greater than 126 mg/dl at fasting in at least two samples collected on different days (18). The values of absolute coronary risk were repeatedly found to correlate at the highest degree of significance (P < 0.0001) with those obtained with the use of the official risk chart developed by the Italian National Institute of Health, which estimates absolute vascular (not only coronary) risk at 10 yr. Because this latter chart does not apply to people under 35 yr and over 69 yr of age, the estimates of absolute coronary risk were used for statistical analysis.

Statistical analysis

Database management and all statistical analyses were performed by Statistica 6.0 (Statsoft Inc., Tulsa, OK). To assess differences in discrete variables, {chi}2 test was used. Normality of continuous data was assessed by the Wilk-Shapiro’s test. Because most continuous variables showed nonnormal distribution, differences and correlations were analyzed by two-tailed Mann-Whitney U test and Spearman r coefficient, respectively. Level of statistical significance was set at P < 0.05.


    Results
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Demographics and clinical data of the study population are shown in Table 1Go. Serum OPG levels were significantly higher in CS patients than in controls, whereas significance was not attained for differences in sRANKL (Fig. 1Go) and sRANKL/OPG ratio. Because OPG values are markedly affected by preanalytical factors, including duration of storage (3, 4), the same analysis was also performed in a subset of 29 patients whose blood samples had been collected between 2001 and 2006. A significant increase in CS patients was confirmed [median 1052 (range 199-2479) pg/ml vs. 678 (349–1441) pg/ml; P = 0.01].


View this table:
[in this window]
[in a new window]

 
TABLE 1. Demographics and clinical data in patients with CS and control subjects

 

Figure 1
View larger version (10K):
[in this window]
[in a new window]

 
FIG. 1. Serum levels of OPG (A) and sRANKL (B) in CS patients and controls. Values are median, 25th and 75th percentile, and range. *, P < 0.01 by Mann-Whitney U test.

 
Serum OPG levels showed a positive correlation with age in both patients and controls (r = 0.36, P = 0.01; and r = 0.34, P = 0.02, respectively). A clearcut negative correlation between sRANKL and age was observed in controls but not in patients (r = –0.56, P < 0.001, and r = –0.10, not significant, respectively). As a consequence, sRANKL/OPG ratio was highly correlated with age in controls only (r = –0.64; P < 0.0001). When searching for correlations with pituitary-adrenal axis, we did find a positive correlation in the whole population study between OPG and morning cortisol (r = 0.38; P < 0.001); however, when patients and controls were analyzed separately, a marginally significant correlation was found in CS patients only (r = 0.28; P = 0.055).

The 19 patients with the metabolic syndrome had higher serum OPG levels than the remainders [1262 (199–2306) pg/ml vs. 867 (412–2479) pg/ml; P = 0.03], with no difference in indices of cortisol secretion. Serum OPG but not sRANKL levels showed a significant positive correlation with the absolute coronary risk (r = 0.36, P = 0.01; Fig. 2Go).


Figure 2
View larger version (12K):
[in this window]
[in a new window]

 
FIG. 2. Correlation between serum OPG levels and 10-yr coronary risk in CS patients (Spearman r = 0.36; P = 0.01).

 
According to DXA results and WHO classification, 28 patients had lumbar spine osteopenia/osteoporosis [T-score, –2.05 (–6.01 to 0.58); Z-score, –1.70 (–5.98 to 1.98)], and hip osteoporosis/osteopenia was found in 23 patients [T-score, –1.34 (–3.79 to 0.30); Z-score: –0.90 (–3.77 to 1.37)]. When DXA parameters were considered, no correlation with serum OPG, sRANKL levels, and sRANKL/OPG ratio was found. In a multivariate regression analysis including serum cortisol, absolute coronary risk, and lumbar spine Z-score as possible independent predictors of OPG, the only variable significantly associated with OPG remained the coronary risk (ß = 0.32; P = 0.04).

Serum OPG levels were higher in patients with pituitary-dependent syndrome in comparison with those with adrenal-dependent syndrome, whereas no difference in sRANKL was observed (Fig. 3Go). Notably, the two groups were comparable for age, cortisol levels, and coronary risk, but differed for lumbar spine densitometric parameters (Table 2Go).


Figure 3
View larger version (10K):
[in this window]
[in a new window]

 
FIG. 3. Serum levels of OPG (A) and sRANKL (B) in pituitary- vs. adrenal-dependent CS patients. Values are median, 25th and 75th percentile, and range. PCS, Pituitary-dependent CS; ACS, adrenal-dependent CS. *, P < 0.05 by Mann-Whitney U test.

 

View this table:
[in this window]
[in a new window]

 
TABLE 2. Demographics, clinical and densitometric data in pituitary- vs. adrenal-dependent CS patients

 

    Discussion
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
The discovery of the RANKL/RANK/OPG system has represented a key step in the understanding of the pathophysiology of the bone microenvironment; has pointed to strict interactions between bone, vascular and immune systems; and has provided pharmacological targets for new promising antiresorptive drugs (1, 2). Interest has grown for the measurement of circulating OPG and sRANKL, which could give insights into the regulatory mechanisms of the system and provide novel markers in a number of diseases (3, 4). In the present paper, we confirm that serum OPG levels are higher in patients with CS with respect to age- and sex-matched healthy control subjects. Moreover, we report that serum OPG levels are higher in patients with the metabolic syndrome and positively correlate with the absolute coronary risk, which remains the only significant predictor in a multivariate model including also serum cortisol and lumbar spine Z-score.

These observations are consistent with the recent opinion that circulating OPG is a novel marker for the development/progression of atherosclerotic disease (1, 3, 4, 5, 19, 20). OPG levels have been found to be increased in patients with coronary artery disease, acute myocardial infarction, increased carotid intima-media thickness, and coronary and aortic calcifications (4). As a general conclusion, circulating OPG levels have been considered to predict cardiovascular mortality in elderly women and cardiovascular disease in the general population (19, 20). Not surprisingly, they have been found to be associated with a number of established cardiovascular risk factors (including age, diabetes, hypertension, smoking, markers of systemic inflammation, chronic infection, and homocysteine) (4).

There is also increasing evidence that GCs at supraphysiological concentrations have a deleterious action on vascular health either by directly promoting the development of atheroma or by inducing intermediate risk factors. Patients with overt CS exhibit increased vascular morbidity and mortality, with acute myocardial infarction being the most common cause of death in multiple case series (21). Pertinently, in a large cross-sectional study of healthy participants, levels of salivary cortisol were significantly associated with intima-media thickness in the carotid artery (22). Notwithstanding the complexity of the process of atherogenesis, it is nowadays held that sustained GC excess, clinically apparent or inapparent, is proatherogenic (23). In the most recent years, cellular and molecular mechanisms supporting the concept of GCs as direct promoters of atherogenesis are being disclosed (24, 25). Interestingly for the analogy with OPG, bimodal regulation by GCs as a function of concentrations and duration of exposure has been suggested to be crucial for another, allegedly important factor in the control of vascular immune reactions and bone remodeling process as well, the macrophage migration inhibitory factor (26, 27).

In the present study, serum OPG levels positively correlated with morning serum cortisol, similarly to the findings by Ueland et al. (13). In vitro, GCs inhibit OPG expression in a variety of cell lines (1, 2, 9). In patients given GCs, although short-term administration reduces serum OPG (10), prolonged administration is more frequently associated with increased levels (11, 12). The results of our study suggest an explanation for this biphasic pattern: early decrease due to direct effects on OPG synthesis and release by the physiological major source, i.e. cells of the osteoblastic lineage, and subsequent increase due to long-term vascular damage overriding the initial effects.

GCs also inhibit GH secretion (28). Notably, increased OPG protein and gene expression has been demonstrated in cortical bone explants after GH replacement therapy (29); in contrast, GH did not affect OPG expression in human VSMC (30), and no changes in serum OPG were seen during GH replacement therapy in most studies (29). Therefore, inhibited GH secretion, although playing a role in the pathogenesis of GC-induced osteoporosis, is unlikely to account for increased serum OPG levels in CS patients.

We did not find significant correlations of OPG, sRANKL, and their ratio with BMD parameters. A number of explanations are plausible. First, BMD values in patients with secondary osteoporosis are the result of a number of factors, which can confound the effects of the underlying disease. Second, GCs are known to affect bone quality and not only quantity, which is assessed by DXA measurement (8). Third, previous data on relationships between circulating OPG and BMD were inconsistent (4, 31, 32, 33, 34).

We and others have reported that bone loss was more severe in patients bearing a cortisol-secreting adenoma vs. those who had a pituitary-dependent hypercortisolism (35, 36). In the present work, we found that serum OPG levels were higher in pituitary-dependent than in adrenal-dependent CS patients. Whatever might be the source of circulating OPG in these cases, its putative role in the pathogenesis of the bone loss occurring in CS as a function of different etiologies awaits further investigation.

A number of limitations of the present study should be noted. First, data on serum OPG and sRANKL after surgery were available only for a small subgroup (data not shown), hence the effect of recovery of normal adrenal function remains to be elucidated. Second, we did not assess more direct indexes of vascular disease (such as carotid intima-media thickness, or carotid/iliofemoral atherosclerotic plaque occurrence). Third, we did not measure bone turnover markers, which presumably better reflect the current formation and resorption activities; therefore, a relationship between serum OPG and bone metabolism in these patients may not be definitively excluded.

In conclusion, we have shown that serum OPG levels are increased in CS patients with respect to age- and sex-matched controls. The apparent increment is likely to be related to the metabolic and cardiovascular effects of sustained hypercortisolism and may be a marker for the higher coronary risk of patients with CS.


    Acknowledgments
 
The authors thank Mrs. A. Termine for skillful technical assistance.


    Footnotes
 
This work was partly supported by grants from the Ministero dell’Università e della Ricerca, Rome, Italy. Dr. A. Dovio has been awarded one of the 2004 prizes from the Società Italiana di Medicina Interna.

Disclosure Statement: B.A., E.P., A.P., E.A., and M.T. have nothing to declare. A.D. and M.V. received lecture fees from Procter & Gamble and Merck Sharp & Dohme. L.S. received consulting fees from Adaltis. A.A. received lecture fees from Novartis and Procter & Gamble.

First Published Online February 27, 2007

Abbreviations: BMD, Bone mineral density; CS, Cushing’s syndrome; CV, coefficient(s) of variation; DXA, dual-energy x-ray absorptiometry; GC, glucocorticoid(s); OPG, osteoprotegerin; RANK, receptor activator of nuclear factor-{kappa}B; RANKL, RANK ligand; sRANKL, soluble RANKL; VSMC, vascular smooth muscle cells.

Received October 19, 2006.

Accepted February 16, 2007.


    References
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 

  1. Hofbauer LC, Schoppet M 2004 Clinical implications of the osteoprotegerin/RANKL/RANK system for bone and vascular diseases. JAMA 292:490–495[Abstract/Free Full Text]
  2. Theoleyre S, Wittrant Y, Tat SK, Fortun Y, Redini F, Heymann D 2004 The molecular triad OPG/RANK/RANKL: involvement in the orchestration of pathophysiological bone remodeling. Cytokine Growth Factor Rev 15:457–475[CrossRef][Medline]
  3. Rogers A, Eastell R 2005 Circulating osteoprotegerin and receptor activator for nuclear factor {kappa}B ligand: clinical utility in metabolic bone disease assessment. J Clin Endocrinol Metab 90:6323–6331[Abstract/Free Full Text]
  4. Dovio A, Data V, Angeli A 2005 Circulating osteoprotegerin and soluble RANKL: do they have a future in clinical practice? J Endocrinol Invest 28(10 Suppl):14–22
  5. Collin-Osdoby P 2004 Regulation of vascular calcification by osteoclast regulatory factors RANKL and osteoprotegerin. Circ Res 95:1046–1057[Abstract/Free Full Text]
  6. Bennett BJ, Scatena M, Kirk EA, Rattazzi M, Varon RM, Averill M, Schwartz SM, Giachelli CM, Rosenfeld ME 2006 Osteoprotegerin inactivation accelerates advanced atherosclerotic lesion progression and calcification in older ApoE–/– mice. Arterioscler Thromb Vasc Biol 26:2117–2124[Abstract/Free Full Text]
  7. Arnaldi G, Angeli A, Atkinson AB, Bertagna X, Cavagnini F, Chrousos GP, Fava GA, Findling JW, Gaillard RC, Grossman AB, Kola B, Lacroix A, Mancini T, Mantero F, Newell-Price J, Nieman LK, Sonino N, Vance ML, Giustina A, Boscaro M 2003 Diagnosis and complications of Cushing’s syndrome: a consensus statement. J Clin Endocrinol Metab 88:5593–5602[Abstract/Free Full Text]
  8. Mazziotti G, Angeli A, Bilezikian JP, Canalis E, Giustina A 2006 Glucocorticoid-induced osteoporosis: an update. Trends Endocrinol Metab 17:144–149[CrossRef][Medline]
  9. Dovio A, Sartori ML, Masera RG, Ceoloni B, Reimondo G, Prolo P, Racca S, Angeli A 2003 Autocrine down-regulation of glucocorticoid receptors by interleukin-11 in human osteoblast-like cell lines. J Endocrinol 177:109–117[Abstract]
  10. Sasaki N, Kusano E, Ando Y, Nemoto J, Iimura O, Ito C, Takeda S, Yano K, Tsuda E, Asano Y 2002 Changes in osteoprotegerin and markers of bone metabolism during glucocorticoid treatment in patients with chronic glomerulonephritis. Bone 30:853–858[Medline]
  11. von Tirpitz C, Epp S, Klaus J, Mason R, Hawa G, Brinskelle-Schmal N, Hofbauer LC, Adler G, Kratzer W, Reinshagen M 2003 Effect of systemic glucocorticoid therapy on bone metabolism and the osteoprotegerin system in patients with active Crohn’s disease. Eur J Gastroenterol Hepatol 15:1165–1170[CrossRef][Medline]
  12. Valleala H, Mandelin J, Laasonen L, Koivula MK, Risteli J, Konttinen YT 2003 Effect of cyclical intermittent etidronate therapy on circulating osteoprotegerin levels in patients with rheumatoid arthritis. Eur J Endocrinol 148:527–530[Abstract]
  13. Ueland T, Bollerslev J, Godang K, Muller F, Froland SS, Aukrust P 2001 Increased serum osteoprotegerin in disorders characterized by persistent immune activation or glucocorticoid excess—possible role in bone homeostasis. Eur J Endocrinol 145:685–690[Abstract]
  14. Reimondo G, Allasino B, Bovio S, Paccotti P, Angeli A, Terzolo M 2005 Evaluation of the effectiveness of midnight serum cortisol in the diagnostic procedures for Cushing’s syndrome. Eur J Endocrinol 153:803–809[Abstract/Free Full Text]
  15. Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults 2001 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 285:2486–2497[Free Full Text]
  16. http://www.sisalombardia.it/; last access 06.09.06
  17. Guidelines Committee European Society of Hypertension–European Society of Cardiology 2003 Guidelines for the management of arterial hypertension. J Hypertens 21:1011–1053[CrossRef][Medline]
  18. The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus 1997 Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Diabetes Care 20:1183–1197[Medline]
  19. Browner WS, Lui LY, Cummings SR 2001 Associations of serum osteoprotegerin levels with diabetes, stroke, bone density, fractures, and mortality in elderly women. J Clin Endocrinol Metab 86:631–637[Abstract/Free Full Text]
  20. Kiechl S, Schett G, Wenning G, Redlich K, Oberhollenzer M, Mayr A, Santer P, Smolen J, Poewe W, Willeit J 2004 Osteoprotegerin is a risk factor for progressive atherosclerosis and cardiovascular disease. Circulation 109:2175–2180[Abstract/Free Full Text]
  21. Pivonello R, Faggiano AG, Lombardi G, Colao A 2005 The metabolic syndrome and cardiovascular risk in Cushing’s syndrome. Endocrinol Metab Clin North Am 34:327–339[CrossRef][Medline]
  22. Hurwitz Eller N, Netterstrom B, Hansen AM 2001 Cortisol in urine and saliva: relations to the intima media thickness, IMT. Atherosclerosis 159:175–185[CrossRef][Medline]
  23. Terzolo M, Pia A, Ali A, Osella G, Reimondo G, Bovio S, Daffara F, Procopio M, Paccotti P, Borretta G, Angeli A 2002 Adrenal incidentaloma: a new cause of the metabolic syndrome? J Clin Endocrinol Metab 87:998–1003[Abstract/Free Full Text]
  24. Maddali KK, Korzick DH, Turk JR, Bowles DK 2005 Isoform-specific modulation of coronary artery PKC by glucocorticoids. Vascul Pharmacol 42:153–162[CrossRef][Medline]
  25. Hermanowski-Vosatka A, Balkovec JM, Cheng K, Chen HY, Hernandez M, Koo GC, Le Grand CB, Li Z, Metzger JM, Mundt SS, Noonan H, Nunes CN, Olson SH, Pikounis B, Ren N, Robertson N, Schaeffer JM, Shah K, Springer MS, Strack AM, Strowski M, Wu K, Wu T, Xiao J, Zhang BB, Wright SD, Thieringer R 2005 11ß-HSD1 inhibition ameliorates metabolic syndrome and prevents progression of atherosclerosis in mice. J Exp Med 202:517–527[Abstract/Free Full Text]
  26. Morand EF, Leech M, Bernhagen J 2006 MIF: a new cytokine link between rheumatoid arthritis and atherosclerosis. Nat Rev Drug Discov 5:399–410[CrossRef][Medline]
  27. Onodera S, Sasaki S, Ohshima S, Amizuka N, Li M, Udagawa N, Irie K, Nishihira J, Koyama Y, Shiraishi A, Tohyama H, Yasuda K 2006 Transgenic mice overexpressing macrophage migration inhibitory factor (MIF) exhibit high-turnover osteoporosis. J Bone Miner Res 21:876–885[CrossRef][Medline]
  28. Giustina A, Veldhuis JD 1998 Pathophysiology of the neuroregulation of growth hormone secretion in experimental animals and the human. Endocr Rev 19:717–797[Abstract/Free Full Text]
  29. Ueland T 2004 Bone metabolism in relation to alterations in systemic growth hormone. Growth Horm IGF Res 14:404–417[Medline]
  30. Olesen P, Ledet T, Rasmussen LM 2005 Arterial osteoprotegerin: increased amounts in diabetes and modifiable synthesis from vascular smooth muscle cells by insulin and TNF-{alpha}. Diabetologia 48:561–568[CrossRef][Medline]
  31. Indridason OS, Franzson L, Sigurdsson G 2005 Serum osteoprotegerin and its relationship with bone mineral density and markers of bone turnover. Osteoporos Int 16:417–423[CrossRef][Medline]
  32. Yano K, Tsuda E, Washida N, Kobayashi F, Goto M, Harada A, Ikeda K, Higashio K, Yamada Y 1999 Immunological characterization of circulating osteoprotegerin/osteoclastogenesis inhibitory factor: increased serum concentrations in postmenopausal women with osteoporosis. J Bone Miner Res 14:518–527[CrossRef][Medline]
  33. Khosla S, Arrighi HM, Melton 3rd LJ, Atkinson EJ, O’Fallon WM, Dunstan C, Riggs BL 2002 Correlates of osteoprotegerin levels in women and men. Osteoporos Int 13:394–399[CrossRef][Medline]
  34. Szulc P, Hofbauer LC, Heufelder AE, Roth S, Delmas PD 2001 Osteoprotegerin serum levels in men: correlation with age, estrogen, and testosterone status. J Clin Endocrinol Metab 86:3162–3165[Abstract/Free Full Text]
  35. Minetto M, Reimondo G, Osella G, Ventura M, Angeli A, Terzolo M 2004 Bone loss is more severe in primary adrenal than in pituitary-dependent Cushing’s syndrome. Osteoporos Int 15:855–861[CrossRef][Medline]
  36. Ohmori N, Nomura K, Ohmori K, Kato Y, Itoh T, Takano K 2003 Osteoporosis is more prevalent in adrenal than in pituitary Cushing’s syndrome. Endocr J 50:1–7[CrossRef][Medline]




This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Submit a related Letter to the Editor
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
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 Copyright Permission
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Dovio, A.
Right arrow Articles by Angeli, A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Dovio, A.
Right arrow Articles by Angeli, A.
Right arrowPubmed/NCBI databases
*Compound via MeSH
*Substance via MeSH
Medline Plus Health Information
*Cushing's Syndrome
Hazardous Substances DB
*HYDROCORTISONE
Related Collections
Right arrow Adrenal and Hypertension
Right arrow Cardiovascular Endocrinology


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Endocrinology Endocrine Reviews J. Clin. End. & Metab.
Molecular Endocrinology Recent Prog. Horm. Res. All Endocrine Journals