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

This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Submit a related Letter to the Editor
Right arrow Purchase Article
Right arrow View Shopping Cart
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 HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Vicennati, V.
Right arrow Articles by Pasquali, R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Vicennati, V.
Right arrow Articles by Pasquali, R.
The Journal of Clinical Endocrinology & Metabolism Vol. 85, No. 11 4093-4098
Copyright © 2000 by The Endocrine Society


Original Studies

Abnormalities of the Hypothalamic-Pituitary-Adrenal Axis in Nondepressed Women with Abdominal Obesity and Relations with Insulin Resistance: Evidence for a Central and a Peripheral Alteration

Valentina Vicennati and Renato Pasquali

Endocrinology Unit, Department of Internal Medicine and Gastroenterology, St. Orsola-Malpighi Hospital, University of Bologna, 40138 Bologna, Italy

Address all correspondence and requests for reprints to: Prof. Renato Pasquali, Unita di Endocrinologia, Dipartimento di Medicina Interna and Gastroenterologia, Policlinico S. Orsola-Malpighi, Via Massarenti 9, 40138 Bologna, Italy. E-mail: rpasqual{at}almadns.unibo.it


    Abstract
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
We have previously shown that women with abdominal body fat distribution (A-BFD) have a hyperactive hypothalamic-pituitary-adrenal (HPA) axis. However, we did not consider the presence of anxiety and/or depression, common manifestations in obese subjects. Anxiety and depression may be associated with oversecretion of cortisol and could represent a confounding factor in the evaluation of the HPA axis in different obesity phenotypes. In this study nondepressed obese women with abdominal and peripheral (P-BFD) body fat distribution and a control lean group underwent a CRH/AVP stimulation test for ACTH and cortisol determinations. Moreover, all women underwent metabolic evaluation and had their urinary free cortisol (UFC) excretion measured. After the stimuli, ACTH and cortisol responded more in the A-BFD than in the P-BFD and control groups. A positive correlation was found between either ACTH area under the curve (r2 = 0.366; P = 0.003) or cortisol area under the curve (r2 = 0.378; P = 0.043) and the homeostasis insulin resistance index in all obese patients. Unexpectedly, A-BFD had significantly lower UFC per m2 values than P-BFD (P < 0.05). Lowered UFC excretion in the A-BFD group is in keeping with an increased cortisol clearance, which, in turn, may lead to HPA axis hyperactivity as an appropriate compensatory mechanism. On the other hand, other mechanisms, possibly central in origin, such as overdriving of the CRH-ACTH system to chronic environmental stress factors, may be involved in determining HPA overresponsiveness in abdominal obesity. In conclusion, this study suggests that women with the abdominal obesity phenotype are characterized by both central and peripheral alterations of the HPA axis activity.


    Introduction
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
INSULIN RESISTANCE is frequently associated with visceral fat accumulation and other powerful risk factors for cardiovascular diseases and noninsulin-dependent type 2 diabetes. Recently, it was hypothesized that hyperactivity of the hypothalamic-pituitary-adrenocortical (HPA) axis may play a central role in the pathogenesis of both abdominal obesity and insulin resistance (1). Data obtained from animal studies showed that exposure to chronic physical and psychological stress was characterized by visceral fat deposition, insulin resistance, hyperinsulinemia, impaired glucose tolerance, dislipidemia, and premature atherosclerosis; all of these abnormalities were associated with enhanced cortisol response to ACTH stimulation and adrenal hypertrophy (2). Although direct similar evidence is lacking in humans, there are epidemiological data providing evidence for a significant positive association between cortisol levels and the salient features of the metabolic syndrome, particularly insulin resistance and altered lipid profiles (3, 4, 5).

Multiple alterations of HPA axis activity in human abdominal obesity have been described, including altered ACTH pulsatile secretory dynamics (6) and hyperresponsiveness to different neuropeptides (7, 8, 9), insulin-induced hypoglycemia (10), acute mental stress challenges (11), and, possibly, selected dietary factors (12). In addition, obesity has been associated with several peripheral alterations of cortisol production and metabolism, including increased cortisol clearance (13), higher than normal cortisol turnover, and altered cortisol metabolism in adipose tissue, particularly visceral adipose tissue (14, 15). However, it is not known whether any or all of these changes represent a characteristic of the abdominal obesity phenotype or whether they may be due to other confounding factors associated with obesity not sufficiently evaluated, such as, for example, chronic anxiety or depression. Nevertheless, anxiety and depression are common features of obesity (16, 17) and are often associated with abnormalities of the HPA axis (18, 19, 20, 21). Thus, the psychological state of an individual may represent a confounding factor in the evaluation of the relationship between the HPA axis and different body fat distribution.

The purpose of this study was to investigate the activity of the HPA axis in nondepressed women with different obesity phenotypes. As in previous studies performed by our group (8, 9), the activity of the HPA axis was investigated by measuring both the response of cortisol and ACTH to combined administration of CRH and arginine vasopressin (AVP) (22) and the daily urinary excretion rate of free cortisol (UFC). The combined CRH/AVP test has an excellent intrasubject reproducibility in normal subjects (23), but a wide intersubject variation (24).


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

This study included 36 obese women who consecutively underwent an evaluation of their HPA axis in our clinic over an 18-month period. All had a body mass index (BMI) greater than 28 kg/m2. Their general clinical profile is summarized in Table 1Go. These women were referred to the Endocrine Unit of the Department of Internal Medicine and Gastroenterology, University of Bologna, as out-patients, for the evaluation and treatment of obesity. All had regular menses. Based on clinical history, physical examination, and laboratory data, none of them had diabetes, thyroid disease, hyperandrogenism (excluded by clinical evaluation and basal androgen assessment), or cardiovascular, renal, hepatic, or systemic diseases, nor were they taking medications. For comparison, 10 normal weight women, regularly menstruating and without history of having been overweight or obese, were also investigated in parallel. None of the obese or control women were smokers. All women gave their informed and written consent to the study, which had been previously approved by the local ethics committee.


View this table:
[in this window]
[in a new window]
 
Table 1. Anthropometric characteristics (mean ± SD) of obese women with abdominal (A-BFD) and peripheral (P-BFD) body fat distribution and of control normal weight women

 
Psychological evaluation

The presence of depressive traits was investigated by two different questionnaires, the CDQ (25) and the CES-D (26), both in the Italian version. They are based on a numerical scale with a given threshold value assessing the presence or the absence of depression. In the CDQ scale, values lower than 7 exclude depression, as values lower than 21 do in the CES-D scale.

Anthropometry

Height was measured without shoes to the nearest 0.5 cm, and body weight was determined without clothes. The waist (W) and hip (H) circumferences were also measured, with the subjects standing, using a 1-cm-wide metal measuring tape, and the waist to hip ratio (WHR) was calculated. According to the recommendation of the WHO (27), waist circumference was measured as the minimum value between the iliac crest and the lateral costal margin, whereas hip circumference was determined as the maximum value over the buttocks. Women with WHR greater than 0.85 were defined as having abdominal obesity (A-BFD), and women with WHR less than 0.80 were defined as having peripheral body fat distribution (P-BFD) (27).

Evaluation of the activity of the HPA axis

Women were examined in the follicular phase between the 3rd and 10th days of the menstrual cycle. They followed their usual diet, which provided at least 250–300 g carbohydrates/day.

Blood tests were performed in the morning (0800–0830 h), after overnight fasting, while subjects had been quietly lying down for at least 15–20 min. An iv catheter for blood collection was placed in a forearm vein of one arm, and the vein was kept patent with NaCl (0.9%) infusion for at least 30 min. A single blood sample was obtained for baseline hormonal and biochemical parameter concentrations in all subjects. The activity of the HPA axis was examined by simultaneously administering CRH and AVP, as previously described (8). This procedure has been shown to maximally stimulate the pituitary ACTH reserve in physiological conditions (28). Human CRH (Novabiochem, Laufelingen, Switzerland) and synthetic AVP (Pitressin, Parke-Davis, Berlin, Germany) were injected as an iv bolus at doses of 100 µg and 0.3 IU, respectively. Blood samples for ACTH and cortisol determinations were drawn at -15 and 0 min before CRH and AVP administration and 5, 10, 15, 30, and 60 min thereafter. All women collected 24-h urine samples to measure the 24-h UFC excretion rate.

Baseline metabolic and hormonal evaluations

At baseline, blood samples were collected for glucose, insulin, triglycerides, and high (HDL) and low (LDL) density lipoprotein cholesterol determinations. Glucose and insulin values were used to calculate the homeostasis insulin resistance index (HOMA), according to the method of Emoto et al. (29). Several studies have shown that the HOMA index has a good correlation with the insulin sensitivity index obtained by the clamp technique and, therefore, may also be used as marker of insulin resistance (30). {gamma}-Glutaryl transpeptidase ({gamma}GT) was also measured as a marker of hepatic steatosis, which is very common in obesity and diabetes mellitus (31).

Hormonal and biochemical assays

The blood samples were placed in different tubes containing ethylenediamine tetraacetate, without or with aprotinin (500 U/mL), for cortisol and ACTH determinations, respectively, and were maintained in ice until centrifuged in a refrigerated centrifuge. Plasma aliquots for hormone determinations were then stored at -80 C until assayed. ACTH was determined with an immunoradiometric assay method using reagents obtained from Nichols Institute Diagnostics (San Juan Capistrano, CA). The sensitivity of this assay in our laboratory is approximately 0.22 pmol/L (1 pg/mL). Inter- and intraassay coefficients of variations at concentration levels of 6.3 pmol/L (28.6 pg/mL) and 53.8 pmol/L (244 pg/mL) were 9.6% and 7.1%, and 7.3% and 3.7%, respectively. Cortisol was determined by RIA with reagents obtained from Diagnostic Products (Los Angeles, CA). In our laboratory, the lowest sensitivity level is 83 nmol/L (30 ng/mL). Inter- and intraassay coefficients of variation at concentrations levels of 160.0 nmol/L (58 ng/mL), and 990.5 nmol/L (395 ng/mL) are 9.8% and 8.0%, and 1.4% and 4.1%, respectively.

Urine samples for UFC determinations were extracted with dichloroethane, and the extraction ratio was determined in 10% of the samples. The assays were performed using a fluorescent method in polarized light (system TDx) with reagents obtained from Abbott Laboratories (Chicago, IL) The lowest detection limit (Sto - 2 SD) in our laboratory was 1.4 pmol/dL. Intra- and interassay coefficients of variation were 6% and 8%, respectively. UFC values are expressed as nanomoles per m2 body surface area (UFC/m2). Plasma glucose concentrations were measured immediately by the glucose oxidase method (Glucose Analyzer II; Beckman Coulter, Inc., Fullerton, CA).

Plasma insulin was determined by RIA using a commercial kit (INSIK-5, Sorin, Saluggia, Italy). Total cholesterol and triglyceride levels were determined in plasma samples by enzymatic methods using reagents obtained from Roche (Marburg, Germany). The HDL cholesterol levels were measured after precipitation with MgCl2·6H2O (0.05 mmol/L) and phosphotungstenic acid (14 mmol/L) with reagents purchased from Behring (Marburg, Germany). LDL cholesterol levels were calculated according to the formula of Friedwald (32). {gamma}GT was measured by the St. Orsola-Malpighi Hospital Clinical Chemistry Laboratory (Bologna, Italy).

Statistics

All results are reported as the mean ± SD. The intergroup comparisons were performed by ANOVA and covariance [body mass index (BMI) was used as a covariate in the comparisons between the two obese groups, because of their significantly different BMI values]. Pearson’s correlation coefficients and multiple regression analyses were used to investigate significant associations between different variables, always taking BMI values as an independent variable. The integrated hormone response to the CRH/AVP test was expressed as the area under the curve (AUC), which was calculated by the trapezoidal method. P < 0.05 was used to define statistical significance.


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

The results indicated the absence of significant depression/anxiety traits in all obese and control women included in the study. Therefore, all subjects had values lower than 7 in the CDQ scale and lower than 21 in the CES-D scale.

CRH/AVP test

There were no significant differences in basal ACTH concentrations among the groups. Five minutes after peptide injection, ACTH rose higher (P < 0.01) in the A-BFD group than in the P-BFD and controls, without any significant differences observed between the latter two groups (Fig. 1Go, top).



View larger version (22K):
[in this window]
[in a new window]
 
Figure 1. ACTH (top panel) and cortisol (bottom panel) concentrations after combined CRH/AVP administration in nondepressed obese women with abdominal (A-BFD) and peripheral (P-BFD) body fat distribution and in normal weight controls. *, P < 0.05, A-BFD vs. P-BFD obese group; **, P < 0.05, A-BFD vs. controls.

 
The A-BFD obese group had higher (P < 0.05) baseline cortisol levels than the P-BFD obese group and controls, without any differences observed between the latter two groups. Fifteen minutes after the CRH/AVP administration and up to the end of the test, the A-BFD group showed significantly (P < 0.05) higher cortisol levels than the P-BFD group and controls (Fig. 1Go, bottom).

These data were confirmed even after excluding the obese women with the highest BMI values, and both subgroups had similar mean BMI values (data not shown). The relations between WHR and cortisolAUC persisted even after adjusting for BMI values (r2 = 0.391; t = 2.386; P = 0.023).

Daily UFC/m2 excretion

As depicted in Fig. 2Go, UFC/m2 values were significantly lower in the A-BFD group than in the P-BFD group (P < 0.05). No significant relations between UFC/m2 and cortisolAUC or ACTHAUC were found either in the entire study population or in obese subjects considered separately. Similar results were obtained when UFC values were employed without correction for body surface area (data not shown).



View larger version (27K):
[in this window]
[in a new window]
 
Figure 2. Daily UFC/m2 in nondepressed obese women with A-BFD and P-BFD and in normal weight controls.

 
Metabolic indexes

All metabolic parameters in the study population are reported in Table 2Go. Obese women had significantly higher total serum cholesterol (P < 0.01) and LDL (P < 0.01) levels than controls, without any significant difference among the obese subgroups. However, the A-BFD group had significantly decreased (P < 0.05) HDL cholesterol and increased triglyceride levels compared with both controls and the P-BFD group. In addition, significantly higher values of {gamma}GT were found in the A-BFD group than in the control or P-BFD group. Fasting insulin and HOMA index values were significantly higher (P < 0.05) in both obese groups than in the controls, and in the A-BFD than in the P-BFD group (P < 0.05).


View this table:
[in this window]
[in a new window]
 
Table 2. Metabolic parameters in obese women with abdominal (A-BFD) and peripheral (P-BFD) body fat distribution and in normal weight control women (mean ± SD)

 
Relations between cortisol and ACTH responses to CRH/AVP test and metabolic indexes

All correlations were performed only in the obese subjects. A significant correlation coefficient between cortisolAUC and the HOMA index and fasting insulin was found (r2 = 0.378; P = 0.043 and r2 = 0.200; P < 0.05, respectively). CortisolAUC was also positively correlated to BMI and WHR (r2 = 0.275; P < 0.005 and r2 = 0.306; P < 0.005, respectively; Fig. 3Go). CortisolAUC, however, showed no significant correlation with total cholesterol, LDL cholesterol, HDL cholesterol, triglycerides, or {gamma}GT. A significant correlation was found between ACTHAUC, fasting insulin (r2 = 0.334; P = 0.002) and the HOMA index (r2 = 0.366; P = 0.003). On the other hand, UFC/m2 values were not correlated with the HOMA index, whereas a borderline significant negative correlation with fasting insulin levels was found (r2 = 0.115; P = 0.090).



View larger version (31K):
[in this window]
[in a new window]
 
Figure 3. Relationship between cortisolAUC and anthropometric (BMI and WHR; top panel) and metabolic parameters (fasting insulin and the HOMA index; bottom panel; only in the obese women).

 

    Discussion
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
These data confirm that women with the abdominal obesity phenotype have an exaggerated ACTH and cortisol response to combined CRH/AVP stimulation. The results reported here were obtained in nondepressed obese women, eliminating the possibility that depression, which is associated with multiple abnormalities of the HPA axis, namely increased plasma cortisol concentrations and urinary cortisol excretion (21), may be responsible at least in part for the previously reported abnormal HPA axis responses to different stimuli in abdominal obesity (7, 8, 9, 10, 11). In addition, we found that the daily excretion rate of UFC/m2 body surface area was significantly reduced in the A-BFD group. This was an unexpected finding, because we (8) and others (7, 33) previously reported higher than normal UFC values in groups of women with abdominal obesity. Among the possible differences between the data of this study and those reported in the recent literature, the main one is certainly the fact that none of the subjects studied here suffered from anxiety or depression.

The lower UFC values we found in the A-BFD group are consistent with an increase in the cortisol MCR in obesity, as previously described by Strain and co-workers (13). This could be due to multiple factors. The concentrations of the corticosteroid-binding globulin, which carries cortisol into the bloodstream, may be reduced in obesity, particularly in the abdominal phenotype (34). Moreover, glucocorticoid receptors are significantly more dense in visceral than sc adipocytes, and the increased trapping of cortisol could increase cortisol metabolic clearance as well (14, 35).

Finally, alterations of 11ß-hydroxysteroid dehydrogenase type 1 (11ßHSD1), which is localized in different tissues, particularly liver and adipose tissue (36), where it catalyzes the conversion of inactive cortisone to cortisol (37), and 5{alpha}-reductase type 1, which is particularly localized in the liver and metabolizes cortisol to its tetrahydro derivatives (37), should also be taken into account. In fact, recent studies performed by Stewart and colleagues (38) in well characterized groups of subjects with different degrees of obesity have provided evidence for an inhibition of 11ßHSD1 in patients with increased central adiposity, similar to what was previously observed in patients with polycystic ovary syndrome (39). The association between reduced 11ßHSD1 activity and abdominal obesity should not, however, be surprising, as high doses of insulin inhibit this enzyme’s expression (40). In addition increased 5{alpha}-reductase type 1 activity, as indicated by an increased urinary excretion rate of 5{alpha}-tetrahydrocortisol (41), has been reported in abdominal obesity. This may further contribute to increased catabolism of cortisol in extraadrenal tissues. Therefore, subtle abnormalities of cortisol transport, function, and metabolism may help to explain the reduced UFC we observed in women with abdominal obesity examined in this study.

The results of the present study are also consistent with the concept that other factors, possibly central in origin, may be involved in determining HPA axis overresponsiveness in abdominal obesity. This may be suggested by the fact that we did not find any significant relation between the UFC/m2 values and hormone response to CRH/AVP in this report. This concept originates from studies carried out in experimental animals indicating that short- and long-term exposures to adverse environmental stressors are followed by a series of multiple neuroendocrine perturbations, including, in particular, increased activity of the HPA axis and the sympathetic nervous system (2, 42, 43). This kind of study in humans is difficult. On the other hand, preliminary studies performed by Bjorntorp’s group in a large cohort of middle-aged men provided convincing evidence for a strong association, at least in chronically stressed individuals, between daytime salivary cortisol levels and some subjectively perceived stress indexes, abdominal fat distribution, and several parameters of the metabolic syndrome (3, 44); this could suggest a loss of resiliency of the HPA axis and an increased CRH-ACTH drive. In addition, we have recently shown that the higher than normal ACTH response to CRH/AVP stimulation in subjects with abdominal obesity may be further enhanced by an acute and steady (for 2 h) increase in plasma norepinephrine at levels usually found during mild to moderate stress challenges, which suggests an increased sensitivity of the CRH and/or ACTH system to central noradrenergic regulation (45). Taken together, these data may provide some explanation for the hyperresponsiveness of the HPA axis to both acute (11) and chronic (3) stress factors in obese individuals.

On the other hand, as UFC represents an integrated measure of the free plasma cortisol over 24 h and, hence, is a measure of the feedback loop set-point of the HPA axis, the low UFC in A-BFD cannot exclude that subgroups of nondepressed patients with visceral obesity may be characterized by some forms of glucocorticoid hypersensitivity. Glucocorticoid hypersensitivity, in fact, may lead to abnormalities in systems that are more sensitive to glucocorticoids even under physiological conditions (46). Previous studies have shown a higher frequency of a particular restriction fragment length polymorphism of the glucocorticoid receptor gene in patients with visceral obesity (47), and this may reflect an increase in the glucocorticoid signal transduction system in this condition, leading to increased sensitivity to cortisol. Such increased hypersensitivity to glucocorticoids could help explain the lower UFC of the viscerally obese women compared with that of women with peripheral obesity. This attractive hypothesis, however, needs to be confirmed by more appropriate and detailed studies.

Another interesting finding of this study was that the cortisol response to the CRH/AVP challenge was significantly correlated with insulin levels and insulin resistance. The theoretical basis for this association does not necessarily imply a cause-effect relationship, granted that hyperinsulinemia and insulin resistance are common findings in obesity, particularly the abdominal phenotype. On the other hand, there are several reasons to suggest that increased HPA axis activity may play a role in favoring impaired insulin sensitivity. Indeed, glucocorticoid excess has multiple adverse actions on glucose metabolism (48). In addition to the insulin-resistant state that characterizes Cushing’s syndrome (49), manipulation of cortisol levels within the physiological range alters insulin sensitivity in healthy subjects (50), and a modest excess of glucocorticoid may contribute to insulin resistance in non-Cushing conditions in humans (5). In addition, cross-sectional studies have shown a significant association between higher than expected morning plasma cortisol with indexes of insulin resistance and glucose intolerance and with hypertriglyceridemia (4). Taken together, these findings are consistent with a primary role for increased HPA axis activity in determining insulin resistance and associated hyperinsulinemia.

On the other hand, it is possible that prevailing hyperinsulinemia, which is commonly observed in abdominal obesity and other insulin resistance syndromes, may be partly responsible for increased HPA axis activity. In fact, insulin crosses the blood-brain barrier (51). It has been demonstrated that the hippocampus represents a key area in the regulation of HPA axis activity and has a high insulin receptor concentration (52). Two recent studies examined this aspect in humans. Walker et al. (53) performed a CRH test during euglycemic clamp studies performed to obtain mild or moderate hyperinsulinemia in a mixed group of normal weight and overweight subjects, and they found that the peak cortisol response to CRH was diminished during the higher insulin clamp study. On the contrary, in normal weight subjects examined in similar experimental conditions, Fruehwald-Schulters et al. (54) found an increase in both basal cortisol and ACTH levels during a high insulin clamp study, suggesting a stimulatory effect of insulin on the HPA axis secretory capacity. Whether modest to severe hyperinsulinemia may represent a stimulatory factor of the HPA axis is therefore an unresolved question that needs to be further investigated.

In summary, we confirmed the presence of a significant correlation between HPA axis activity and both hyperinsulinemia and insulin resistance. Moreover, we have further demonstrated the presence of multiple alterations of the HPA axis in women with the abdominal obesity phenotype, consistent with coexistence of both central and peripheral alterations. It is important to note that these abnormalities were present in the absence of confounding factors capable of altering the HPA axis, such as anxiety or depression.

Received March 20, 2000.

Revised July 20, 2000.

Accepted July 31, 2000.


    References
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 

  1. Bjorntorp P. 1993 Visceral obesity: "a civilization syndrome." Obes Res. 1:206–222.[Medline]
  2. Shively C, Clarkson T. 1989 Regional obesity and coronary atherosclerosis in females: a non-human primate model. Acta Med Scand. 723(Suppl):71–78.
  3. Rosmond R, Dallman MF, Bjorntorp P. 1998 Stress-related cortisol secretion in men: relationships with abdominal obesity and endocrine, metabolic and hemodynamic abnormalities. J Clin Endocrinol Metab. 83:1853–1859.[Abstract/Free Full Text]
  4. Phillips DIW, Barker DJP, Hales CN, Hirst S, Osmond C. 1994 Thinnes at birth and insulin resistance in adult life. Diabetologia. 37:150–154.[CrossRef][Medline]
  5. Andrews RC, Walker BR. 1999 Glucocorticoids and insulin resistance: old hormones, new targets. Clin Sci. 96:513–523.[Medline]
  6. Pasquali R, Biscotti D, Spinucci G, et al. 1998 Pulsatile secretion of ACTH and cortisol in premenopausal women: effect of obesity and body fat distribution. Clin Endocrinol (Oxf). 48:603–612.[CrossRef][Medline]
  7. Marin P, Darin N, Anemiya T, et al. 1992 Cortisol secretion in relation to body fat distribution in obese premenopausal women. Metabolism. 41:882–886.[CrossRef][Medline]
  8. Pasquali R, Cantobelli S, Casimirri F, et al. 1993 The hypothalamic-pituitary-adrenal axis in obese women with different patterns of body fat distribution. J Clin Endocrinol Metab. 77:341–346.[Abstract]
  9. Pasquali R, Anconetani B, Chattat R, et al. 1996 Hypothalamic-pituitary-adrenal axis activity and its relationship to the autonomic nervous system in women with visceral and subcutaneous obesity: effects of the corticotropin-releasing factor/arginine-vasopressin test and of stress. Metabolism. 45:351–356.[CrossRef][Medline]
  10. Weaver JU, Kopelman PG, McLuoghlin L, Forsling MI, Grossman A. 1993 Hyperactivity of the hypothalamic-pituitary-adrenal axis in obesity: a study of ACTH, AVP, ß-lipotropin and cortisol responses to insulin-induced hypoglycemia. Clin Endocrinol (Oxf). 39:45–51.[Medline]
  11. Moyer AE, Rodin J, Grilo CM, Cummings N, Larson LM, Rebuffé-Scrive M. 1994 Stress-induced cortisol response and fat distribution in women. Obes Res. 2:255–261.[Medline]
  12. Pasquali R. 1998 Is the hypothalamic-pituitary-adrenal axis really hyperactivated in visceral obesity? J Endocrinol Invest. 21:268–271.[Medline]
  13. Strain GW, Zumoff B, Kream J, Stain JJ, Levin J, Fukushima D. 1982 Sex differences in the influence of obesity on the 24h mean plasma concentration of cortisol. Metabolism. 31:209–212.[CrossRef][Medline]
  14. Rebuffé-Scrive M, Bronnegard M, Nilsson A, Veldh J, Gustafsson JA, Bjorntorp P. 1990 Steroid hormone receptors in human adipose tissues. J Clin Endocrinol Metab. 71:1215–1219.[Abstract]
  15. Bujalska IJ, Kumar S, Stewart PM. 1997 Does central obesity reflect "Cushing’s disease of the omentum?" Lancet. 349:1210–1213.[CrossRef][Medline]
  16. Wing RR, Matthews KA, Kuller LH, et al. 1991 Waist to hip ratio in middle-aged women. Association with behavioral and psychological factors and with changes in cardiovascular risk factors. Arterioscler Thromb. 11:1250–1257.[Abstract/Free Full Text]
  17. Rosmond R, Lapidus L, Marin P, et al. 1996 Mental distress, obesity and body fat distribution in middle-aged men. Obes Res. 4:245–252.[Medline]
  18. Gold PW, Licinio J, Wong ML, Chrousos GP. 1995 Corticotropin releasing hormone in the pathophysiology of melancholic and atypical depression and in the mechanism of action of antidepressant drugs. Ann NY Acad Sci. 29:716–729.[CrossRef]
  19. Gold PW, Chrousos GP. 1998 The endocrinology of melancholic and atypical depression: relation to neurocircuitry and somatic consequences. Proc Assoc Am Physicians. 111:22–34.
  20. Nemeroff CB, Krishnan KRR, Reed D, et al. 1992 Adrenal gland enlargement in major depression: a computed tomographic study. Arch Gen Psychiatry. 49:384–387.[Abstract]
  21. Scott LV, Dinan TG. 1998 Urinary free cortisol excretion in chronic fatigue, major depression and in health volunteers. J Affect Disord. 47:49–54.[CrossRef][Medline]
  22. Lamberts SWJ, Verleun T, Oosterom R, et al. 1984 Corticotropin releasing factor (ovine) and vasopressin exert synergistic effect on adenocorticotropin release in men. J Clin Endocrinol Metab. 58:298–303.[Abstract]
  23. Favrod-Coune, Raux-Demay M, Proeschel M, Bertagna X, Girard F, Luton J. 1993 Potentation of the classic ovine corticotropin-releasing hormone stimulation test by combined administration of small doses of lysine vasopressin. Clin Endocrinol (Oxf). 38:405–410.[Medline]
  24. Bertagna X, Coste J, Raux-Demay MC, Letrait M, Strauch G. 1994 The combined corticotropin-releasing hormone/lysine vasopressin test discloses a corticotroph phenotype. J Clin Endocrinol Metab. 79:390–394.[Abstract]
  25. Krug SE, Laughlin JE. 1979 Questionario di autovalutazione C.D.Q (IPAT Depression Scale). Organizzazioni Speciali, Firenze.
  26. Fava GA. 1983 Assessing depressive symptoms across cultures. Italian validation of the CES-D self-rating scale. J Clin Psychol. 39:249–252.[Medline]
  27. Report of a WHO Consultation on Obesity. 1997 Obesity. Preventing and managing the global epidemic. Geneva: WHO/NUT/NCD 98.1.
  28. Arai K, Takebe K. 1991 Corticotropin response to combined administration of human corticotropin-releasing hormone and small-dose arginine vasopressin in normal subjects. Metabolism. 40:1088–1091.[CrossRef][Medline]
  29. Emoto M, Nishizawa Y, Maekawa K, et al. 1999 Homeostasis model assessment as a clinical index of insulin resistance in type 2 diabetic patients treated with sulfonylureas. Diabetes Care. 22:818–822.[Abstract/Free Full Text]
  30. Matthews DR, Hosker JP, Rudenski AS, et al. 1985 Homeostasis model assesment: insulin resistance and ß-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 28:412–419.[CrossRef][Medline]
  31. Van Steenbergen W, Lanckmans S. 1995 Liver disturbances in obesity and diabetes mellitus. Int J Obes. 19(Suppl 3):S27–S36.
  32. Friedwald WT, Levy RI, Friedrickson DS. 1972 Estimation of the concentrations of low-density lipoprotein cholesterol in plasma, without use of preparative ultracentrifuge. Clin Chem. 18:449–509.[Abstract]
  33. Duclos M, Corcuff J-B, Etchevarry N, Rashedi M, Tabarin A, Roger P. 1999 Abdominal obesity increases overnight cortisol excretion. J Endocrinol Invest. 22:465–471.[Medline]
  34. Chalew S, Nagel H, Shore S. 1995 The hypothalamic-pituitary-adrenal axis in obesity. Obes Res. 3:371–382.[Medline]
  35. Rebuffé-Scrive M, Lundholm K, Bjorntorp P. 1985 Glucocorticoid hormone binding to human adipose tissue. Eur J Clin Invest. 15:267–271.[Medline]
  36. Ricketts ML, Verhag JM, Bujalska I, Howie A, Rainey WE, Stewart PM. 1998 Immunohistochemical localization of type 1 11ß-hydroxysteroid dehydrogenase in human tissues. J Clin Endocrinol Metab. 83:1325–1335.[Abstract/Free Full Text]
  37. Stewart PM, Krozowski ZS. 1999 11ß-Hydroxysteroid dehydrogenase. Vitam Horm. 57:249–324.[Medline]
  38. Stewart PM, Boulton A, Kunar S, Clarck PMS, Shackleton CHL. 1999 Cortisol metabolism in human obesity: impaired cortisone-cortisol conversion in subjects with central adiposity. J Clin Endocrinol Metab. 84:1022–1027.[Abstract/Free Full Text]
  39. Rodin A, Thakkar H, Taylor N, Clayton R. 1994 Hyperandrogenism in polycystic ovary syndrome: evidence for a dysregulation of 11ß-hydroxysteroid dehydrogenase. N Engl J Med. 330:460–465.[Abstract/Free Full Text]
  40. Jameson P, Chapman KE, Edwards CRW, Seckl JR. 1995 11ß-Hydroxysteroid dehydrogenase is an exclusive of 11ß-reductase in primary cultures of rat hepatocytes: effect of physicochemical and hormonal manipulations. Endocrinology. 136:4754–4761.[Abstract]
  41. Andrew R, Phillips DIW, Walker BR. 1998 Obesity and gender influence cortisol secretion and metabolism in man. J Clin Endocrinol Metab. 83:1806–1809.[Abstract/Free Full Text]
  42. Dallman MF, Bhatnagar S. 1998 Chronic stress and energy balance: role of the hypothalamic-pituitary-adrenal axis. In: McEwen BS, ed. Handbook of physiology: the environment. Washington DC: American Physiological Society; 000–000.
  43. Folkow B. 1987 Stress, hypothalamic function and neuroendocrine consequences. Acta Med Scand. 723:61–69.
  44. Rosmond R, Bjornotorp P. 1998 Blood pressure in relation to obesity, insulin and the hypothalamic-pituitary-adrenal axis in Swedish men. J Hypertens. 16:1721–1726.[CrossRef][Medline]
  45. Pasquali R, Vicennati V, Calzoni F, et al. 2000 {alpha}2-adrenoreceptor regulation of the hypothalamic-pituitary-adrenocortical axis in obesity. Clin Endocrinol (Oxf). 52:413–421.[CrossRef][Medline]
  46. Bamberger CM, Schulte HM, Chrousos GP. 1996 Molecular Determinants of glucocorticoid receptor function and tissue sensitivity to glucocorticoids. Endocr Rev. 17:245–261.[Abstract]
  47. Weaver JU, Hitman GA, Kopelman PG. 1992 An association between a BclI restriction length polymorphism of the glucocorticoid receptor locus and hyperinsulinemia in obese women. J Mol Endocrinol. 9:295–300.[Abstract]
  48. Dallman MF, Strack AM, Akana SF, et al. 1993 Feast and famine: critical role of glucocorticoids with insulin in daily energy flow. Front Neuroendocrinol. 14:303–347.[CrossRef][Medline]
  49. Friedman TC, Mastorakos G, Newman TD, et al. 1996 Carbohydrate and lipid metabolism in endogenous hypercortisolism: shared features with metabolic syndrome X and noninsulin-dependent diabetes mellitus. Endocr J. 43:645–656.[Medline]
  50. Dinnen S, Alzaid A, Miles J, Rizza R. 1993 Metabolic effects of the nocturnal rise in cortisol on carbohydrate metabolism in normal humans. J Clin Invest. 92:2283–2290.
  51. Akama SF, Cascio CS, Du JZ, Levin N, Dallman MF. 1986 Reset of feedback in the adrenocortical system: an apparent shift in sensitivity of adrenocorticotropin to inhibition by corticosterone between morning and evening. Endocrinology. 119:2325–2332.[Abstract]
  52. Palovcik RA, Phillips MI, Kappy MS, Raizada MK. 1984 Insulin inhibits pyramidal neurons in hyppocampal slices. Brain Res. 309:187–191.[CrossRef][Medline]
  53. Walker M, Berrish TS, James AR, Alberti KGMM. 1994 Effect of hyperinsulinemia on the function of the pituitary-adrenal axis in healthy man. Clin Endocrinol (Oxf). 40:493–497.[Medline]
  54. Fruehwald-Schultes B, Kern W, Bong W, et al. 1999 Supraphysiological hyperinsulinemia acutely increases hypothalamic-pituitary-adrenal secretory activity in humans. J Clin Endocrinol Metab. 84:3041–3046.[Abstract/Free Full Text]



This article has been cited by other articles:


Home page
J EndocrinolHome page
R H Straub, L B Tanko, C Christiansen, P J Larsen, and D S Jessop
Higher physical activity is associated with increased androgens, low interleukin 6 and less aortic calcification in peripheral obese elderly women
J. Endocrinol., October 1, 2008; 199(1): 61 - 68.
[Abstract] [Full Text] [PDF]


Home page
J EndocrinolHome page
K A. H Iwen, O. Senyaman, A. Schwartz, M. Drenckhan, B. Meier, D. Hadaschik, and J. Klein
Melanocortin crosstalk with adipose functions: ACTH directly induces insulin resistance, promotes a pro-inflammatory adipokine profile and stimulates UCP-1 in adipocytes
J. Endocrinol., March 1, 2008; 196(3): 465 - 472.
[Abstract] [Full Text] [PDF]


Home page
J. Clin. Endocrinol. Metab.Home page
A. N. Vgontzas, S. Pejovic, E. Zoumakis, H.-M. Lin, C. M. Bentley, E. O. Bixler, A. Sarrigiannidis, M. Basta, and G. P. Chrousos
Hypothalamic-Pituitary-Adrenal Axis Activity in Obese Men with and without Sleep Apnea: Effects of Continuous Positive Airway Pressure Therapy
J. Clin. Endocrinol. Metab., November 1, 2007; 92(11): 4199 - 4207.
[Abstract] [Full Text] [PDF]


Home page
J. Clin. Endocrinol. Metab.Home page
A. Gambineri, L. Patton, R. De Iasio, F. Palladoro, U. Pagotto, and R. Pasquali
Insulin-Like Factor 3: A New Circulating Hormone Related to Luteinizing Hormone-Dependent Ovarian Hyperandrogenism in the Polycystic Ovary Syndrome
J. Clin. Endocrinol. Metab., June 1, 2007; 92(6): 2066 - 2073.
[Abstract] [Full Text] [PDF]


Home page
J. Clin. Endocrinol. Metab.Home page
S. H. Golden, S. Malhotra, G. S. Wand, F. L. Brancati, D. Ford, and K. Horton
Adrenal Gland Volume and Dexamethasone-Suppressed Cortisol Correlate with Total Daily Salivary Cortisol in African-American Women
J. Clin. Endocrinol. Metab., April 1, 2007; 92(4): 1358 - 1363.
[Abstract] [Full Text] [PDF]


Home page
EndocrinologyHome page
A. Bousquet-Melou, E. Formentini, N. Picard-Hagen, L. Delage, V. Laroute, and P.-L. Toutain
The Adrenocorticotropin Stimulation Test: Contribution of a Physiologically Based Model Developed in Horse for Its Interpretation in Different Pathophysiological Situations Encountered in Man
Endocrinology, September 1, 2006; 147(9): 4281 - 4291.
[Abstract] [Full Text] [PDF]


Home page
J. Clin. Endocrinol. Metab.Home page
A. Gambineri, V. Vicennati, S. Genghini, F. Tomassoni, U. Pagotto, R. Pasquali, and B. R. Walker
Genetic Variation in 11{beta}-Hydroxysteroid Dehydrogenase Type 1 Predicts Adrenal Hyperandrogenism among Lean Women with Polycystic Ovary Syndrome
J. Clin. Endocrinol. Metab., June 1, 2006; 91(6): 2295 - 2302.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Physiol. Endocrinol. Metab.Home page
P. Kok, S. W. Kok, M. M. Buijs, J. J. M. Westenberg, F. Roelfsema, M. Frolich, M. P. M. Stokkel, A. E. Meinders, and H. Pijl
Enhanced circadian ACTH release in obese premenopausal women: reversal by short-term acipimox treatment
Am J Physiol Endocrinol Metab, November 1, 2004; 287(5): E848 - E856.
[Abstract] [Full Text] [PDF]


Home page
DiabetesHome page
A. Gambineri, C. Pelusi, E. Manicardi, V. Vicennati, M. Cacciari, A. M. Morselli-Labate, U. Pagotto, and R. Pasquali
Glucose Intolerance in a Large Cohort of Mediterranean Women With Polycystic Ovary Syndrome: Phenotype and Associated Factors
Diabetes, September 1, 2004; 53(9): 2353 - 2358.
[Abstract] [Full Text] [PDF]


Home page
J. Nutr.Home page
H. Lin, O. I. Bermudez, and K. L. Tucker
Dietary Patterns of Hispanic Elders Are Associated with Acculturation and Obesity
J. Nutr., November 1, 2003; 133(11): 3651 - 3657.
[Abstract] [Full Text] [PDF]


Home page
J. Clin. Endocrinol. Metab.Home page
M. Friedberg, E. Zoumakis, N. Hiroi, T. Bader, G. P. Chrousos, and Z.'e. Hochberg
Modulation of 11{beta}-Hydroxysteroid Dehydrogenase Type 1 in Mature Human Subcutaneous Adipocytes by Hypothalamic Messengers
J. Clin. Endocrinol. Metab., January 1, 2003; 88(1): 385 - 393.
[Abstract] [Full Text] [PDF]


Home page
Mol. Endocrinol.Home page
M. Z. Strowski, M. Kohler, H. Y. Chen, M. E. Trumbauer, Z. Li, D. Szalkowski, S. Gopal-Truter, J. K. Fisher, J. M. Schaeffer, A. D. Blake, et al.
Somatostatin Receptor Subtype 5 Regulates Insulin Secretion and Glucose Homeostasis
Mol. Endocrinol., January 1, 2003; 17(1): 93 - 106.
[Abstract] [Full Text] [PDF]


Home page
J. Clin. Endocrinol. Metab.Home page
V. Vicennati, L. Ceroni, L. Gagliardi, A. Gambineri, and R. Pasquali
Response of the Hypothalamic-Pituitary-Adrenocortical Axis to High-Protein/Fat and High-Carbohydrate Meals in Women with Different Obesity Phenotypes
J. Clin. Endocrinol. Metab., August 1, 2002; 87(8): 3984 - 3988.
[Abstract] [Full Text] [PDF]


Home page
J. Clin. Endocrinol. Metab.Home page
E. Rask, B. R. Walker, S. Soderberg, D. E. W. Livingstone, M. Eliasson, O. Johnson, R. Andrew, and T. Olsson
Tissue-Specific Changes in Peripheral Cortisol Metabolism in Obese Women: Increased Adipose 11{beta}-Hydroxysteroid Dehydrogenase Type 1 Activity
J. Clin. Endocrinol. Metab., July 1, 2002; 87(7): 3330 - 3336.
[Abstract] [Full Text] [PDF]


Home page
J. Clin. Endocrinol. Metab.Home page
R. Pasquali, B. Ambrosi, D. Armanini, F. Cavagnini, E. D. Uberti, G. Del Rio, G. de Pergola, M. Maccario, F. Mantero, M. Marugo, et al.
Cortisol and ACTH Response to Oral Dexamethasone in Obesity and Effects of Sex, Body Fat Distribution, and Dexamethasone Concentrations: A Dose-Response Study
J. Clin. Endocrinol. Metab., January 1, 2002; 87(1): 166 - 175.
[Abstract] [Full Text] [PDF]


Home page
EndocrinologyHome page
C. Nilsson, B.-M. Larsson, E. Jennische, E. Eriksson, P. Bjorntorp, D. A. York, and A. Holmang
Maternal Endotoxemia Results in Obesity and Insulin Resistance in Adult Male Offspring
Endocrinology, June 1, 2001; 142(6): 2622 - 2630.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Submit a related Letter to the Editor
Right arrow Purchase Article
Right arrow View Shopping Cart
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 HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Vicennati, V.
Right arrow Articles by Pasquali, R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Vicennati, V.
Right arrow Articles by Pasquali, R.


HOME HELP FEEDBACK SUBSCRIPTIONS