Body composition and regional fat distribution in polycystic ovarian syndrome. Relationship to hormonal and metabolic profiles

Correlations between salivary- and blood-derived gonadal hormone assessments and implications for inclusion of female participants in research studies

Even in the 21st century, female participants continue to be underrepresented in human physiology research. This underrepresentation is attributable in part to the perception that the inclusion of females is more time consuming, less convenient, and more expensive relative to males because of the need to account for the menstrual cycle in cardiovascular study designs. Accounting for menstrual cycle-induced fluctuations in gonadal hormones is important, given established roles in governing vascular function and evidence that failure to consider gonadal hormone fluctuations can result in misinterpretations of biomarkers of cardiovascular disease. Thus, for cardiovascular researchers, the inclusion of females in research studies implies a necessity to predict, quantify, and/or track indexes of menstrual cycle-induced changes in hormones. It is here that methodologies are lacking. Gold standard measurement requires venous blood samples, but this technique is invasive and can become both expensive and technically preclusive when serial measurements are required. To this end, saliva-derived measures of gonadal hormones provide a means of simple, noninvasive hormone tracking. To investigate the feasibility of this technique as a means of facilitating research designs that take the menstrual cycle into account, the purpose of this review was to examine literature comparing salivary and blood concentrations of the primary gonadal hormones that fluctuate across the menstrual cycle: estradiol and progesterone. The data indicate that there appear to be valid and promising applications of salivary gonadal hormone monitoring, which may aid in the inclusion of female participants in cardiovascular research studies.

Adverse Effects of Selected Markers on the Metabolic and Endocrine Profiles of Obese Women With and Without PCOS

The aim of the present study, is to investigate the influence of obesity, with and without polycystic ovarian syndrome (PCOS), on the levels of kisspeptin, vitamin D (Vit D), and vascular endothelial growth factor (VEGF) and to explore the relationship between these parameters and endocrine and metabolic variables. The study group included 126 obese Saudi females. Of these 63 were suffering from PCOS while the rest were normo-ovulatory obese women (non-PCOS obese). In the obese PCOS, VEGF was almost four times as high as in the non-PCOS obese, while kisspeptin and Vit D did not differ. A highly significant elevation was recorded in the waist/hip (WHR), cholesterol, LDL-C, fasting glucose, LH, LH/FSH ratio, estradiol (E2), and testosterone, while hip circumference, leptin, progesterone, and sex hormone binding globulin (SHBG) were lower in the obese PCOS subjects. BMI, HDL-C, ghrelin, insulin, and FSH levels did not differ significantly between the two groups. The obese PCOS had the same level of insulin resistance as the non-PCOS group, as judged by QUICK Index. Correlation studies showed a significant negative correlation between kisspeptin and glucose and LH levels, and a positive correlation with LH/FSH ratio in obese PCOS while in the non-PCOS obese, the kisspeptin correlated positively with glucose, and there was no correlation with LH or LH/FSH. VEGF negatively correlated with FSH and positively with LH/FSH ratio in the non-PCOS obese but this was lost in the obese PCOS. PCOS had no effect on the correlation between Vit D and all studied parameters. Multiple regression analysis showed triglyceride as predictor variable for kisspeptin as a dependent variable, while, leptin is a predictor variable for VEGF as a dependent variable. ROC studies showed the highest sensitivity and specificity for VEGF (AOC=1.00), followed by LH/FSH ratio (AOC=0.979). In conclusion, our study shows that PCOS results in significant elevation of VEGF in obese females, while kisspeptin and Vit D levels are not affected. It also leads to elevation in several of the lipid and hormonal abnormalities in the obese females. In addition, PCOS influences relationship between Kisspeptin and VEGF and some parameters such as glucose, LH or FSH and LH/FSH ratio in obese females, but does not affect Vit D relationship with other parameter.

Mediators of inflammation in polycystic ovary syndrome in relation to adiposity

Polycystic ovary syndrome (PCOS) is a common endocrine disorder in women of reproductive age group and is associated with a higher cardiovascular risk. Obesity, mainly visceral adiposity, is prevalent in patients with PCOS. Obesity is associated with low-grade inflammation and raised inflammatory cytokines, both of which are also described in patients with PCOS. In this paper, the potential relationships between fat distribution, adipocyte dysfunction and, altered inflammatory markers in patients with PCOS have been discussed.

Polycystic ovary syndrome, diabetes and cardiovascular disease: risks and risk factors

Polycystic ovary syndrome is one of the most common endocrine disorders in the human, affecting approximately 10% of women of reproductive age. Although originally considered a gynaecological disorder, the syndrome is associated with a wide range of endocrine and metabolic abnormalities, including insulin resistance. Affected women are at an increased risk of developing gestational and non-insulin dependent diabetes and there is an association with cardiovascular risk factors including obesity, hypertension, dyslipidaemia, hyperhomocysteinaemia, increased intima media thickness and impaired vascular elasticity. The effect on cardiovascular mortality is currently unclear. However, in view of the proven links with diabetes and the cardiovascular risk markers, this condition should be considered within the province of physicians as well as gynaecologists.

Abdominal fat quantity and distribution in women with polycystic ovary syndrome and extent of its relation to insulin resistance

CONTEXT

Increased abdominal fat has been linked to insulin resistance and increased cardiovascular risk. Because many patients with polycystic ovary syndrome (PCOS) present abdominal obesity, it may be the cause of insulin resistance in this disorder.

SETTING

Fat quantity and distribution were evaluated by dual x-ray absorptiometry at the Departments of Clinical Medicine at the University of Palermo and the University of Naples, Italy.

PATIENTS

A total of 110 patients with PCOS and 112 weight-matched controls were studied. Anthropometric data, blood glucose, serum insulin, and testosterone were evaluated. Total, trunk, and central abdominal fat quantity were measured by total-body dual x-ray absorptiometry.

RESULTS

Compared with weight-matched controls, patients with PCOS had similar quantity of total and trunk fat but higher quantity of central abdominal fat. This difference was not observed when comparing obese PCOS and obese controls but depended on differences between overweight and normoweight patients and controls. All obese subjects, independently of having PCOS or not, had increased central abdominal fat. The same parameter was increased in 71% of overweight PCOS, 50% of overweight controls, and 30% of normoweight PCOS patients. PCOS patients with increased central abdominal fat had significantly higher (P < 0.01) insulin levels and significantly reduced (P < 0.01) insulin sensitivity than controls with similar quantities of central abdominal fat. Overweight PCOS patients with normal abdominal fat had significantly higher (P < 0.05) insulin levels and significantly reduced (P < 0.05) insulin sensitivity than overweight controls with normal abdominal fat.

CONCLUSIONS

Most obese subjects, independent of being affected by PCOS, have an abdominal form of obesity. However, abdominal fat excess may not be the only determinant of insulin resistance in PCOS.

Polycystic ovarian syndrome: the next cardiovascular dilemma in women?

All known risks for cardiovascular disease are increased in women with polycystic ovary syndrome, which features amenorrhea, hirsutism, and obesity. Epidemiologic studies in these patients and their families have revealed a familial predisposition not only to polycystic ovary syndrome, but also diabetes, hypertension, and cardiovascular disease. The heterogeneity of phenotypes (clinically and biochemically) leads to difficulty in achieving a precise diagnosis, defining a single underlying pathogenesis, and selecting a homogeneous population for much needed prospective studies. The authors believe that while insulin resistance plays and important role in some cases of polycystic ovarian syndrome, it is the overall milieu created by the co-existence of several cardiovascular risk factors in polycystic ovarian syndrome patients which could be an important target for preventative strategies and therapy.

Pediatric obesity and insulin resistance: chronic disease risk and implications for treatment and prevention beyond body weight modification

The study of childhood obesity has continued to grow exponentially in the past decade. This has been driven in part by the increasing prevalence of this problem and the widespread potential effects of increased obesity in childhood on lifelong chronic disease risk. The focus of this review is on recent findings regarding the link between obesity and disease risk during childhood and adolescence. We describe recent reports relating to type 2 diabetes in youth (2), prediabetes (69, 166), metabolic syndrome (33, 35), polycystic ovarian syndrome (77), and nonalcoholic fatty liver disease (58, 146), and the mediating role of insulin resistance in these conditions. In addition, we review the implications of this research for the design of more effective treatment and prevention strategies that focus more on the improvement of obesity-related metabolic abnormalities and chronic disease risk reduction than on the conventional energy balance approach that focuses on weight management.

Understanding and managing disturbances in insulin metabolism and body weight in women with polycystic ovary syndrome

Polycystic ovary syndrome (PCOS) is a common clinical and metabolic condition in women of reproductive age. It is associated with short-term reproductive and long-term metabolic dysfunction. Treatment has traditionally focused on fertility and hormonal therapy. However, general obesity, central obesity and insulin resistance are strongly implicated in its aetiology and improving these factors has proved highly successful in some clinical situations, reducing the need for costly assisted reproduction. A low-fat, high-carbohydrate diet is thought to improve insulin sensitivity, aid in weight loss and reduction of metabolic and reproductive symptoms and improve the long-term maintenance of a reduced weight. However, there has been recent community interest in adopting a protocol advocating a moderate increase in dietary protein for improving weight loss and PCOS symptoms. Altering the glycaemic index of the diet has also received considerable attention as a regime for promoting satiety and reducing metabolic risk factors for type 2 diabetes mellitus and cardiovascular disease. Exercise and other lifestyle changes are essential for altering the short- and long-term effects of PCOS. It is vital that the efficacy of these strategies is assessed so that accurate medical and dietetic advice can be given both to patients and to the health-care community.

Impaired cholecystokinin secretion and disturbed appetite regulation in women with polycystic ovary syndrome

Increased amount of abdominal fat and obesity are common in polycystic ovary syndrome (PCOS). A higher prevalence of bulimia nervosa and greater cravings for sweets have also been reported in these patients. The present study aimed to compare meal-related appetite and secretion of the 'satiety peptide' cholecystokinin (CCK) and glucose regulatory hormones in PCOS women and controls. Sixteen pairs of women with PCOS and controls matched for age and body mass index participated in the study. After an overnight fast, blood samples were collected during ingestion of a standardized meal. We determined basal and postprandial blood levels of CCK, insulin, C-peptide, glucagon, cortisol, growth hormone and glucose. Self-ratings of appetite were assessed by a visual analog scale. PCOS women had a significantly lower meal-related CCK response (p < 0.05) with no association with satiety, as in the controls (r = 0.64). There was a tendency to higher ratings of craving for sweets in PCOS women (p = 0.07) but no correlation with insulin, as in the controls (r = 0.50). Within the PCOS group, ratings of craving for sweets were inversely related to testosterone (r = - 0.60) and the CCK response was positively correlated with levels of free testosterone (r = 0.50). We conclude that women with PCOS have reduced postprandial CCK secretion and deranged appetite regulation associated with increased levels of testosterone. Impaired CCK secretion may play a role in the greater frequency of binge eating and overweight in women with PCOS.

Android subcutaneous adipose tissue topography in lean and obese women suffering from PCOS: Comparison with type 2 diabetic women

The new optical device, the lipometer, enables the noninvasive, quick, safe, and precise determination of the thickness of subcutaneous adipose tissue (SAT) layers at any given site of the human body. Fifteen anatomically well-defined body sites from neck to calf describe a SAT topography (SAT-Top) like an individual "fingerprint" of a subject. This SAT-Top was examined in 16 women with polycystic ovary syndrome (PCOS) and compared to the body fat distribution of 87 age-matched healthy controls and 20 type-2 diabetic women. SAT-Top differences of these three groups were described and, to render the possibility of visual comparison, the 15-dimensional body fat information was condensed to a two-dimensional factor plot by factor analysis. All PCOS patients had an android body fat distribution with significantly thinner SAT layers on the legs as compared to healthy controls. Moreover, a hierarchical cluster analysis resulted in two distinctly different groups of PCOS women, a lean (PCOSL) and an obese (PCOSO) cluster: compared to healthy women, lean PCOS patients had significantly lower total SAT development, even though height, weight, and body mass index did not deviate significantly. Especially on the legs, their SAT layers were significantly lowered, indicating a more "apple-like" fat distribution type. Obese PCOS women showed a SAT-Top pattern very similar to that of women with type-2 diabetes, although the mean age difference between these groups was more than 30 years. Compared to healthy controls, the SAT-Top of these obese PCOS patients was strongly shifted into the android direction, appearing as "super-apples" with a significantly increased upper trunk obesity to 237.8% and a significantly decreased leg SAT development to 79.8%.

Subcutaneous adipose tissue pattern in lean and obese women with polycystic ovary syndrome

The new optical device, Lipometer, permits the noninvasive, quick, safe, and precise measurement of the thickness of subcutaneous adipose tissue (SAT) layers at any given site of the human body. Fifteen anatomically well-defined body sites from neck to calf describe the SAT topography (SAT-Top) like an individual "fingerprint." SAT-Top was examined in 33 women with polycystic ovary syndrome (PCOS), in 87 age-matched healthy controls and in 20 Type-II diabetic women. SAT-Top differences of these three groups were described, and, based on a hierarchical cluster analysis, two distinctly different groups of PCOS women, a lean (PCOS(L)) and an obese (PCOS(O)) cluster, were found. For visual comparison of the different types of body fat distribution, the 15-dimensional body fat information was condensed to a two-dimensional factor plot by factor analysis. For comparison of the PCOS like body fat distribution with the "healthy" fat pattern, the (previously published) SAT-Top results of 590 healthy women and men (20-70 years old) and 162 healthy girls and boys (7-11 years old) were added to the factor plot. PCOS(O) women showed a SAT-Top pattern very similar to that of women with Type-II diabetes, even though the diabetic women were on average 30 years older. Compared with their healthy controls, SAT-Top of these PCOS(O) patients was strongly skewed into the android direction, providing significantly decreased leg SAT development and significantly higher upper body obesity. Compared with healthy women, PCOS(L) patients had significantly lower total SAT development (even though height, weight, and body mass index did not deviate significantly), showing a slightly lowered amount of body fat in the upper region and a highly significant leg SAT reduction. This type of fat pattern is the same as found in girls and boys before developing their sex specific body fat distribution. We conclude that women with PCOS develop an android SAT-Top, but compared in more detail, we found two typical types of body fat distribution: the "childlike" SAT pattern in lean PCOS patients, and the "diabetic" body fat distribution in obese PCOS women.

Hyperandrogenism, postprandial hyperinsulinism and the risk of PCOS in a cross sectional study of women with epilepsy treated with valproate

Among a sample of 43 women with epilepsy treated for at least 2 years with valproate (n=22) or other antiepileptic drugs (AEDs) (n=21), polycystic ovary syndrome (PCOS) was diagnosed in three women, two of them were treated with valproate. Although the rate of PCOS and of menstrual disturbances, weight body mass index (BMI) and waist to hip ratio as well as fasting blood glucose levels, fasting insulin, proinsulin and C-peptide values was similar in this small sample of women treated with valproate and other AEDs, valproate exposure was associated with higher androgen levels, higher postprandial (pp) insulin and proinsulin levels, as well as lower cholesterol and low density lipoprotein (LDL) cholesterol levels. The pronounced increase in pp insulin levels during VPA treatment may indicate an effect of the fatty acid derivate VPA on pancreatic islet cells.

The influence of obesity on hyperandrogenism and infertility in the female

Although a critical mass of adipose tissue is essential for the normal development of female reproductive function, obesity has been shown to produce menstrual disturbances and subfertility. The severity of obesity and the distribution of fat tissue are important factors that influence the female reproductive system. The pathogenetic mechanistic links between them aren't clearly elucidated. Obese women, especially those with upper body obesity, have insulin resistance and hyperinsulinaemia, hyperandrogenaemia, increased peripheral aromatization of androgens to oestrogens, altered gonadotrophin secretion, decreased sex hormone binding globulin, decreased growth hormone (GH) and insulin like growth factor binding proteins (IGFBPs), increased leptin levels and altered neuroregulation of the hypothalamic-pituitary-gonadal axis. These have been considered as some of the links in the sequence of events of the disrupted ovulatory process. The mechanisms of these actions and their influence on female reproductive function are discussed below.

Role of allelic variants Gly972Arg of IRS-1 and Gly1057Asp of IRS-2 in moderate-to-severe insulin resistance of women with polycystic ovary syndrome

To assess the role of insulin receptor, insulin receptor substrate (IRS)-1, and IRS-2 genes in insulin resistance, we explored the genomic DNA in women with polycystic ovary syndrome (PCOS) and a variable degree (mean +/- SE) of insulin resistance (homeostasis model assessment index for insulin resistance [HOMA(IR)] 3.2 +/- 0.6, n = 53; control subjects 1.56 +/- 0.34, n = 102) using direct sequencing. Whereas no novel mutations were found in these genes, gene-dosage effects were found on fasting insulin for the Gly972Arg IRS-1 variant and on 2-h plasma glucose for the Gly1057Asp IRS-2 variant. The Gly972Arg IRS-1 variant was more prevalent in insulin-resistant patients compared with non-insulin-resistant individuals or control subjects (39.3 vs. 4.0 and 16.6%, P < 0.0031, respectively). A multivariate model that included BMI as a variable revealed significant effects of the Gly1057Asp IRS-2 variant on insulin resistance (P < 0.016, odds ratio [OR] 7.2, 95% CI 1.29-43.3). HOMA(IR) was higher in carriers of both IRS variants than in those with IRS-2 mutations only or those with wild-type variants (6.2 +/- 2.3, 2.8 +/- 0.5, and 1.8 +/- 0.2, respectively; P < 0.01), and it was significantly associated with this genotype (P < 0.0085, OR 1.7, 95% CI 1.09-2.99). We conclude that polymorphic alleles of both IRS-1 and IRS-2, alone or in combination, may have a functional impact on the insulin-resistant component of PCOS.

Smaller LDL particle size in women with polycystic ovary syndrome compared to controls

OBJECTIVE

Women with polycystic ovary syndrome (PCOS) have an increased risk of cardiovascular disease. The contribution of lipid abnormalities to this higher risk, in particular atherogenic modifications of low density lipoprotein (LDL) such as a shift towards smaller LDL, has not been properly explored. We aimed to examine LDL size variation in relation to androgens and other risk factors in women with PCOS.

DESIGN

Comparison of clinical and biochemical measurements in women with PCOS and women with normal ovarian function, of similar age and body mass index (BMI).

PATIENTS

Thirty-one women with PCOS and 27 controls were studied. Patients were recruited from the outpatient endocrine clinic.

MEASUREMENTS

Fasting total cholesterol, triglycerides (TG), high density lipoprotein (HDL), LDL, glucose, insulin, gonadotrophins, androgens, oestradiol, 17 OH progesterone and SHBG were measured. LDL particle diameter was calculated based on distance travelled in polyacrylamide native gels. Recumbent blood pressure was measured automatically.

RESULTS

LDL particle size appeared to be significantly smaller in hyperandrogenic PCOS as compared to regularly cycling women (P = 0006), independent of variations in lipid levels. SHBG was the only independent predictor of LDL size in this population, with a strong correlation, which persisted after adjustment for all confounding variables.

CONCLUSIONS

Our results suggest that androgen excess and mild insulin-resistance (both responsible for lower SHBG) may have an early modifying effect on low density lipoprotein size in polycystic ovary syndrome women. The denser pattern observed in polycystic ovary syndrome women could by itself constitute a higher cardiovascular risk, even in the absence of overt dyslipidaemia, and contribute to the excess risk of cardiovascular disease reported in this syndrome.

Polycystic ovary syndrome, hyperandrogenism, and insulin resistance

Results from recent basic and clinical research investigations have greatly improved our understanding of insulin resistance in general and insulin resistance associated with PCOS in particular. With this understanding has come the possibility of using new methods to treat PCOS. This is particularly true when discussing the use of insulin-sensitizing drugs. Caution must be exercised in using these drugs because of unforeseen acute or remote adverse side effects. Postulated relationships among PCOS, hyperandrogenism, and insulin resistance do not completely solve the endocrinologic mystery of the patient with PCOS. For example, how does the partial destruction of the ovary (e.g., wedge biopsy or ovary drilling by laser or cautery), which does not affect insulin resistance, result in ovulatory cycles? Why does the administration of excessive exogenous insulin in the case of the insulin-dependent diabetic fail to cause hyperandrogenism? Certainly, much remains to be learned about the reproductive endocrine disturbance we now call PCOS.

Insulin sensitivity, insulin secretion, and metabolic and hormonal parameters in healthy women and women with polycystic ovarian syndrome

To study the contributions of body mass, body fat distribution and family history of type 2 diabetes mellitus to hyperinsulinaemia, insulin secretion and resistance in polycystic ovarian syndrome (PCOS), 17 lean (LC) and 17 obese (OC) healthy control subjects, and 15 lean (LPCOS) and 28 obese (OPCOS) women with PCOS were investigated. Waist:hip ratio (WHR), serum concentrations of sex steroids, glucose and insulin during a 75 g oral glucose tolerance test (OGTT), and insulin and C-peptide early phase secretion, and insulin sensitivity index using a euglycaemic hyperinsulinaemic clamp were assessed. The PCOS subjects had a higher mean WHR than the controls. A trend towards hyperinsulinaemia and impairment of insulin sensitivity (including the rates of both glucose oxidation and non-oxidation) was observed in LPCOS subjects, but only in OPCOS subjects were these changes significant. Early phase insulin secretion but not the early phase C-peptide secretion was increased in PCOS subjects compared to controls, suggesting that peripheral hyperinsulinaemia in PCOS women was mainly due to the observed lowered hepatic insulin extraction and insulin resistance in skeletal muscle. Moreover, the presence of a family history of type 2 diabetes did not affect early phase insulin or C-peptide secretion in the PCOS group. These results confirm and strengthen earlier contentions, that insulin resistance is a characteristic defect in PCOS and is worsened particularly by abdominal obesity.

The natural history of the metabolic syndrome in young women with the polycystic ovary syndrome and the effect of long-term oestrogen-progestagen treatment

OBJECTIVE

Little is known about the natural history of polycystic ovary syndrome (PCOS), although preliminary data indicate that affected women are more susceptible than the general population to diabetes and cardiovascular diseases at post-menopausal ages. The aim of this study was to follow-up all main features of the metabolic syndrome in a group of young women with PCOS and to investigate the long-term effects on metabolism and body composition of oestrogen-progestagen (OP) compounds, which are frequently used in these women to treat hyperandrogenism and related clinical features.

DESIGN

Long-term follow-up study.

SUBJECTS AND METHODS

Thirty-seven women with PCOS were re-evaluated 10.3 +/- 0.8 years (range 6-18 years) after their first assessments (age: before 19.8 +/- 4.9 years; after 29.9 +/- 4.4 years). When first examined, women were instructed to follow a hypocaloric diet if they were obese plus OP, if they agreed to such treatment. Main anthropometric parameters, basal sex hormones and lipids, fasting and glucose-stimulated glucose and insulin levels and several clinical data were recorded before and after follow-up.

RESULTS

In the whole group of women with PCOS we found no changes in body weight and fat mass, whereas both the waist-to-hip ratio and the waist-to-thigh ratio were significantly reduced. No significant changes occurred in mean fasting and glucose-stimulated glucose and insulin concentrations, whereas a significant increase in high-density lipoprotein-cholesterol was found. No significant changes occurred in testosterone levels. During the follow-up period 16 women took OP for an average of 97 +/- 18 months (range 12-180 months) (OP-users) whereas 21 women never took OP (non-OP-users). All OP-users were still taking OP when re-evaluated at the follow-up examination. With respect to baseline values, body mass index was higher in non-OP-users than in their counterparts. Waist circumference (P < 0.025), the waist-to-hip (P < 0.05) and the waist-to-thigh (P < 0.01) ratios decreased significantly only in the OP-users. In addition, percentage changes in waist circumference (P < 0.05) and waist-to-hip ratio (P < 0.05) during the follow-up period were significantly different between the groups. Glucose tolerance (as area under the curve (AUC)) improved (P < 0.05) in OP-users but not in non-OP-users. Moreover, compared to baseline values, basal insulin levels were significantly (P < 0.01) reduced in OP-users but not in non-OP-users. On the contrary, no significant change was found in insulinAUC in the former, whereas it significantly increased (P < 0.05) in the latter. Accordingly, fasting C-peptide decreased (P < 0.05) in OP-users, whereas both fasting (P < 0.01) and stimulated (P < 0.01) C-peptide significantly increased in non-OP-users. Changes in fasting or stimulated insulin and C-peptide in non-OP-users were not associated with parallel changes in testosterone levels. Total cholesterol and triglycerides did not change in either group, but HDL-cholesterol increased (P < 0.05) only in OP-users. Sex hormone-binding globulin concentrations increased significantly (P < 0.01) in OP-users, without any significant change in non-OP-users. Testosterone concentrations did not change significantly in either group, but the testosterone: SHBG ratio significantly decreased in OP-users (P < 0.05) but not in the non-OP-users. Among the clinical features, acanthosis nigricans significantly (P < 0.01) worsened in non-OP-users but not in the OP-users, without any significant change in the hirsutism and acne scores. Pregnancy rates during the follow-up were similar in both groups.

CONCLUSIONS

These data indicate that hyperinsulinaemia and insulin resistance tended to worsen spontaneously in women with PCOS, without any worsening of the hyperandrogenism. Long-term oestrogen-progestagen treatment countered this tendency, probably because it improved the pattern of body fat distribution, by reducing abdominal fat depots.

Polycystic ovary syndrome and insulin resistance: thrifty genes struggling with over-feeding and sedentary life style?

Almost two decades of research have greatly increased our knowledge in the complex field of metabolic aberrations in polycystic ovary syndrome, but still many problems remain unsolved. The statistical association between insulin levels and androgens originally put the focus on possible direct cause-and-effect relationships between these factors. Indeed there is evidence that insulin may affect ovarian functions in multiple ways, presumably in some cases causing anovulation and hyperandrogenism. Clearly, insulin may increase biologically active testosterone through reducing SHBG levels. Conversely, major increases in androgen levels may induce muscular changes leading to reduced insulin-mediated glucose uptake. There are suggestions of increased steroidogenesis in both ovarian and adrenal pathways, with the net result of increased androgen production. There are also findings supporting increased corticosteroid production, which could contribute to insulin resistance directly or through promoting accumulation of abdominal fat, a typical feature of over-weight women with PCOS. Free fatty acids, released in great amounts from abdominal fat, may induce insulin resistance. Insulin resistance may also be due to a primary aberration in the insulin receptor. Putatively increased serine phosphorylation may cause both impairment of the insulin signal and increased 17,20 lyase activity, thus suggesting a common cause for insulin resistance and increased androgen production. There are also findings supporting a high prevalence of beta-cell dysfunction in PCOS, ranging from increased insulin secretion, not explained by insulin resistance or BMI, to failing beta-cell function, mainly in obese women during progress to glucose intolerance and NIDDM. Recent genetic findings also support a multifactorial genesis to PCOS, notably with positive findings both in genes regulating steroidogenesis and insulin secretion. It is suggested that PCOS is the result of "thrifty" genes, providing advantages in times of shortage of nutrition such as muscular strength, moderate abdominal fatness and decreased insulin sensitivity, i.e. an anabolic, energy saving constitution. However, when this constitution is exposed to unlimited food supplies and modern sedentary life style a full-blown PCOS with insulin resistance and infertility is triggered, presumably via several mechanisms, which follow a logical amplification system between two basic anabolic hormones, insulin and testosterone.

Obesity evaluation and treatment: Expert Committee recommendations. The Maternal and Child Health Bureau, Health Resources and Services Administration and the Department of Health and Human Services

OBJECTIVES

The development of recommendations for physicians, nurse practitioners, and nutritionists to guide the evaluation and treatment of overweight children and adolescents.

METHODS

The Maternal and Child Health Bureau, Health Resources and Services Administration, the Department of Health and Human Services convened a committee of pediatric obesity experts to develop the recommendations.

RESULTS

The Committee recommended that children with a body mass index (BMI) greater than or equal to the 85th percentile with complications of obesity or with a BMI greater than or equal to the 95th percentile, with or without complications, undergo evaluation and possible treatment. Clinicians should be aware of signs of the rare exogenous causes of obesity, including genetic syndromes, endocrinologic diseases, and psychologic disorders. They should screen for complications of obesity, including hypertension, dyslipidemias, orthopedic disorders, sleep disorders, gall bladder disease, and insulin resistance. Conditions that indicate consultation with a pediatric obesity specialist include pseudotumor cerebri, obesity-related sleep disorders, orthopedic problems, massive obesity, and obesity in children younger than 2 years of age. Recommendations for treatment evaluation included an assessment of patient and family readiness to engage in a weight-management program and a focused assessment of diet and physical activity habits. The primary goal of obesity therapy should be healthy eating and activity. The use of weight maintenance versus weight loss to achieve weight goals depends on each patient's age, baseline BMI percentile, and presence of medical complications. The Committee recommended treatment that begins early, involves the family, and institutes permanent changes in a stepwise manner. Parenting skills are the foundation for successful intervention that puts in place gradual, targeted increases in activity and targeted reductions in high-fat, high-calorie foods. Ongoing support for families after the initial weight-management program will help families maintain their new behaviors.

CONCLUSIONS

These recommendations provide practical guidance to pediatric clinicians who evaluate and treat overweight children.

Markers of abdominal adipose tissue in women: relationship to ovarian function

Increased abdominal adipose tissue (AAT) mass, as most reliably measured by waist circumference, in pubescent girls positively correlates with insulinemia, circulating insulin-like growth factor 1, insulin resistance, androgenemia, and both plasma luteinizing hormone and estradiol levels. Because insulin resistance and androgen excess regularly accompany the ovarian changes seen in polycystic ovary syndrome (PCOS), we propose that elevated AAT mass in adolescent girls, acting through an increase in insulin resistance, might make them more prone to the development of full-blown PCOS.

Current concepts of polycystic ovary syndrome

Polycystic ovary syndrome (PCOS) may be loosely defined as unexplained hyperandrogenism, with variable degrees of cutaneous symptoms, anovulatory symptoms, and obesity. The vast majority of patients with the full-blown Stein-Leventhal syndrome have functional ovarian hyperandrogenism (FOH). However, FOH often occurs without the LH excess or polycystic ovaries of classic PCOS. Functional adrenal hyperandrogenism (FAH) is often found in the syndrome, but it is less closely associated with anovulatory symptoms than is FOH. The vast majority of FOH seems to arise from abnormal regulation (dysregulation) of ovarian androgen secretion. This typically is due to escape from desensitization to luteinizing hormone (LH); this appears to occur because of a breakdown in the processes that normally coordinate ovarian androgen and oestrogen secretion so as to prevent hyperoestrogenism. Similar dysregulation of adrenal androgen secretion in response to ACTH seems to account for most FAH. Dysregulation of androgen secretion may affect the ovary alone (isolated FOH), the adrenal alone (isolated FAH), or both together. Modest insulin resistance is common in PCOS/FOH, and the resultant hyperinsulinaemia is a major candidate as the cause of the dysregulation. The hyperinsulinaemia may arise from either 'nature' (genetic defects) or 'nurture' (exogenous obesity). Although hyperinsulinaemia alone does not have an obvious effect on steroidogenesis, it may act in genetically predisposed women as a 'second hit' to unmask latent abnormalities in steroidogenesis. The ovary, the adrenal cortex, and several other organs paradoxically function as if responding to the hyperinsulinaemic state in spite of resistance to the effects of insulin on glucose metabolism. PCOS should be viewed as an early manifestation of a hyperinsulinaemic condition that will predispose to cardiovascular and metabolic complications later in life. A subset of PCOS patients appear to have not only insulin resistance but also beta-cell secretory dysfunction, which may indicate a relationship of the disorder to NIDDM. The fundamental genetic defects remain to be elucidated.

Definition and significance of polycystic ovaries

Defining the polycystic ovarian syndrome (PCOS) has challenged clinicians for many years. The clinical, hormonal and morphological definitions of PCOS have their own limitations and do not correspond exactly. Clinically, PCOS can be schematically divided into three components, i.e. hyperandrogenic, anovulatory and dysmetabolic. No one is specific for the syndrome. Hormonally, PCOS has recently been defined by the GnRH agonist test as a functional abnormality in ovarian androgen synthesis. This functional ovarian hyperandrogenism seems closely linked to hyperinsulinism secondary to an insulin resistance. Morphologically, ovarian ultrasonography has emerged in the last decade or so as a new diagnostic tool. However, the sonographic definition of the polycystic ovary (PCO) is controversial, mainly because of a lack of consensus about normative data. The aim of this review is to present the diagnostic dilemma in the diagnosis of PCOS and to discuss the prognostic significance of the PCO.

Nutrition, hormones, and breast cancer: is insulin the missing link?

Breast cancer incidence rates are high in societies with a Western lifestyle characterized by low levels of physical activity, and by an energy-dense diet rich in total and saturated fat and refined carbohydrates. Epidemiologic studies, so far mostly on postmenopausal women, have shown that breast cancer risk is increased in hyperandrogenic women, with decreased levels of plasma sex-hormone binding globulin, and with increased levels of testosterone and of free estrogens. This paper describes the role of hyperinsulinemia as a physiologic link between nutritional lifestyle factors, obesity, and the development of a hyperandrogenic endocrine profile, and reviews evidence that may or may not support the theory that chronic hyperinsulinemia is an underlying cause of breast cancer. An hypothesis is presented, stipulating that breast cancer risk is increased not only in hyperandrogenic postmenopausal women, but also in premenopausal women with mild hyperandrogenism and normal (ovulatory) menstrual cycles. The author suggests further investigation as to whether there is a positive association between risk of breast cancer before menopause and subclinical forms of the polycystic ovary syndrome (PCOS), and to what extent diet and physical activity during childhood, by modulating the degree of insulin resistance during adolescence, may or may not be determinants of a PCO-like hyperandrogenic endocrine profile persisting into adulthood.

Disturbances in insulin secretion and sensitivity in women with the polycystic ovary syndrome

Insulin resistance, defined as a diminished effect of a given dose of insulin on glucose homeostasis, is a highly prevalent feature of women with PCOS. Insulin resistance in PCOS is closely associated with an increase in truncal-abdominal fat mass, elevated free fatty acid levels, increased androgens, particularly free testosterone through reduced SHBG levels, and anovulation. The causes for insulin resistance in PCOS are still unknown. One line of evidence suggests that an increase in truncal-abdominal fat mass and subsequently increased free fatty acid levels induce insulin resistance in women with PCOS. Increased effects of corticosteroids and a relative reduction in oestrogen and progesterone seem to be involved in the aberrant body fat distribution. Conversely, there are also results supporting primary, genetic target cell defects as a cause of insulin resistance in PCOS. An explanation for these seemingly contradictory results could be that the group of women with PCOS is heterogeneous with respect to the primary event in carbohydrate/insulin disturbances. Also insulin secretion in PCOS is characterized by heterogeneity. At one end of the spectrum is a large subgroup of mainly obese women with reduced insulin secretion, which appears to result from failure of the beta cells to compensate for insulin resistance in susceptible women, resulting in glucose intolerance and NIDDM. In the insulin-resistant patients with normal glucose tolerance, most of the hyperinsulinaemia is probably due to secondarily increased insulin secretion and decreased insulin degradation. However, a component of the increased first-phase insulin release is not due to measurable insulin resistance. Notably, this is also found in lean women with normal insulin sensitivity, and is not reversed after weight reduction, in contrast to the findings for insulin resistance. The implications of this enhanced insulin release are not fully clear, but it may tentatively be associated with carbohydrate craving and subsequently increased risks for development of obesity and insulin resistance. It may represent a primary disturbance of insulin secretion in PCOS or may be associated with the perturbed steroid balance in anovulation. The insulin-androgen connection in PCOS appears to be amplified by several different mechanisms, notably in both directions, the initiating event probably varying between individuals. Thus insulin increases the biological availability of potent steroids, primarily testosterone, through the suppression of SHBG synthesis. Insulin is also involved as a progonadotrophin in ovarian steroidogenesis, with the possible net result of interfering with ovulation and/or increasing ovarian androgen production in states of hyperinsulinaemia. Conversely, testosterone may indirectly contribute to insulin resistance through facilitating free fatty acid release from abdominal fat, but perhaps also through direct muscular effects at higher serum levels. It seems likely that this constitution, presumably genetic, would provide evolutionary advantages in times of limited nutrition, given the energy-saving effects of insulin resistance. Hypothetically, hyperinsulinaemia (primary) could provide a stimulus to ensure intake of nourishment, but unlimited food supplies could in some cases initiate a vicious 'anabolic' circle, in which several of the proposed amplifying mechanisms between insulin and androgens--in both directions--could take part.

Serum lipoprotein lipid profile in women with the polycystic ovary syndrome: relation to anthropometric, endocrine and metabolic variables

OBJECTIVE

Although often associated with insulin resistance and glucose intolerance, various lipoprotein abnormalities have been found in polycystic ovary syndrome (PCOS) but not invariably so when the degree of obesity is taken into account. We have therefore investigated the serum lipid profile in a group of women with polycystic ovary syndrome with and without obesity.

DESIGN

Cross-sectional study of serum lipoprotein lipids and plasma free fatty acids in relation to anthropometric, metabolic and hormonal variables in women with PCOS and weight-matched controls.

PATIENTS

Twenty-four obese (Pob, mean BMI +/- SD 30.6 +/- 3.3 kg/m2) and 25 non-obese (Pnob, 22.2 +/- 2.3 kg/m2) women with PCOS. Twenty obese (Cob, 30.2 +/- 3.5 kg/m2) and 20 non-obese (Cnob, 21.4 +/- 1.5 kg/m2) controls.

MEASUREMENTS

Fasting concentrations of plasma free fatty acids, serum cholesterol and triglycerides in high density lipoproteins (HDL), low density lipoproteins (LDL) and very low density lipoproteins (VLDL) in relation to insulin sensitivity index (M/I; assessed with the euglycaemic insulin clamp), glucose tolerance (k-value; intravenous glucose tolerance test), basal serum hormone concentrations, and body fat distribution (skinfolds and waist hip ratio).

RESULTS

Plasma concentrations of free fatty acids were markedly higher in Pob than in the other groups (all P < 0.001). The lipoprotein lipids did not differ between Pob and Cob, or between the non-obese groups, whereas both obese groups had higher serum concentrations of triglycerides, totally and in VLDL, and lower HDL-cholesterol than their non-obese counterparts. Pob also had higher serum levels of total and LDL-cholesterol than Pnob. Pob had a more pronounced subcutaneous truncal-abdominal adiposity, higher fasting insulin levels and lower M/I than the other groups, and a lower k-value than Cob. Cob had higher levels of fasting insulin than Cnob. Free fatty acid levels correlated with the k-value (inversely) in both women with PCOS and controls, and with M/I (inversely), age and testosterone levels in PCOS. Stepwise regression analysis for the total population, comparing endocrine, anthropometric and metabolic explanatory variables, showed that the serum levels of HDL-cholesterol and triglycerides were mainly correlated with body fat distribution (both) and fasting insulin levels (triglycerides), and levels of total and LDL-cholesterol with BMI and age.

CONCLUSIONS

Plasma free fatty acid correlations were markedly increased in obese women with PCOS, closely associated with the lower insulin sensitivity and lower glucose tolerance in these women. In spite of these profound metabolic aberrations, the lipoprotein lipid profile was not significantly more abnormal in obese women with PCOS than in their weight-matched controls.