Failure of the homeostatic model assessment calculation score for detecting metabolic deterioration in young patients with polycystic ovary syndrome

The Translational Role of miRNA in Polycystic Ovary Syndrome: From Bench to Bedside—A Systematic Literature Review

MicroRNAs (miRNAs) are small, non-coding RNAs that are essential for the regulation of post-transcriptional gene expression during tissue development and differentiation. They are involved in the regulation of manifold metabolic and hormonal processes and, within the female reproductive tract, in oocyte maturation and folliculogenesis. Altered miRNA levels have been observed in oncological and inflammatory diseases, diabetes or polycystic ovary syndrome (PCOS). Therefore, miRNAs are proving to be promising potential biomarkers. In women with PCOS, circulating miRNAs can be obtained from whole blood, serum, plasma, urine, and follicular fluid. Our systematic review summarizes data from 2010–2021 on miRNA expression in granulosa and theca cells; the relationship between miRNAs, hormonal changes, glucose and lipid metabolism in women with PCOS; and the potential role of altered miRNAs in fertility (oocyte quality) in PCOS. Furthermore, we discuss miRNAs as a potential therapeutic target in PCOS and as a diagnostic marker for PCOS.

Correlation of Clinical, Hormonal, Biochemical and Ultrasound Parameters Between Adult and Adolescent Polycystic Ovarian Syndrome: Adult and Adolescent PCOS

Purpose

To correlate the clinical, hormonal, biochemical and ultrasound parameters in adolescent patients with polycystic ovarian syndrome (PCOS) and to compare them with adult patients.

Methods

This was a prospective, correlational study. 50 adult (20-35 years) and 50 adolescent patients (15-19 years) who had features of PCOS (Rotterdam Criteria, 2003) were selected. The control group comprised of 50 women of same age in each group with normal parameters. Pelvic ultrasound was done in early follicular phase (3-5th day of menstrual cycle). Assessment of hormonal and biochemical parameters (LH/FSH ratio, free testosterone level, lipid profile and fasting glucose/insulin ratio) and grey-scale ultrasound was done.

Results

No significant difference was observed in menstrual pattern in adults and adolescents with PCOS. The mean values of serum LH/FSH ratio and free testosterone were significantly higher in both adult and adolescent PCOS patients as compared to their controls (p < 0.001). The mean value of serum insulin was significantly higher (p < 0.001) with positive correlation (adult: r = 0.655, p < 0.01; adolescent: r = 0.451, p < 0.01) of serum insulin with free testosterone. Hyperandrogenemia without hyperinsulinemia was found in 56% adolescent and 60% adult PCOS patients. 82% adolescent and 88% adult PCOS patients showed multiple follicles (> 5) on ultrasound. The ovarian morphology had positive correlation with serum LH and free testosterone. The mean ovarian volume was significantly higher in adult (10.48 ± 4.38 vs. 4.17 ± 0.91) and adolescent (11.08 ± 5.82 vs. 4.23 ± 0.89) PCOS patients, when compared with controls, respectively.

Conclusion

No statistically significant difference was noted in PCOS between adults and adolescents.

Evaluation of the Efficacy of Sex Hormone-Binding Globulin in Insulin Resistance Assessment Based on HOMA-IR in Patients with PCOS

This study aimed to evaluate the efficacy of SHBG in predicting insulin resistance (IR) in newly diagnosed, untreated patients with polycystic ovary syndrome (PCOS). Hundred newly diagnosed, untreated patients with PCOS and 61 subjects without PCOS (41 healthy volunteers with normal BMI and 20 subjects with overweight/obese) were included in the study. Receiver-operating characteristic (ROC) analysis was used to assess the effectiveness of SHBG in predicting IR in overweight/obese and non-overweight PCOS patients and the optimal cut-off values of SHBG. The results showed negative correlations between log-SHBG and log-I₀ (r = - 0.372, P < 0.001) and log-SHBG and log-Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) (r = - 0.393, P < 0.001) after adjusting for blood pressure, serum lipid, age, and body mass index (BMI) in all of the PCOS patients. In patients with IR (defined as HOMA-IR ≥2.29), the area under the ROC curves (AUCs) of the SHBG for ROC analysis in the non-overweight group, overweight/obese group, and all PCOS patients were 0.774 (P = 0.0001), 0.922 (P = 0.0001), and 0.885 (P = 0.0001), respectively. The optimal cut-off value of SHBG was 37 nmol/L with a sensitivity of 97.62% and specificity of 80.85% in the overweight group. In patients with IR (HOMA-IR ≥2.5), the AUCs of SHBG for ROC analysis in the non-overweight group, overweight/obese group, and all PCOS patients were 0.741 (P = 0.0003), 0.928 (P = 0.0001), and 0.880 (P = 0.0001), respectively. The optimal cut-off value of SHBG was 30.2 nmol/L with a sensitivity of 97.44% and specificity of 82.69% in the overweight/obese group. In conclusion, this study observed a negative correlation between SHBG and HOMA-IR in PCOS patients after adjustment of confounding factors. SHBG was an independent influential factor of HOMA-IR and can be used as a positive predictive marker for IR in PCOS patients, especially in those who are overweight/obese.

Urinary Metabolites Reveal Hyperinsulinemia and Insulin Resistance in Polycystic Ovarian Syndrome (PCOS)

The identification of insulin resistance and hyperinsulinemia in polycystic ovary syndrome (PCOS) is not a minor issue. The homeostasis model assessment of insulin resistance index (HOMA) is the most used index of IR (Insulin Resistance), validated in overweight and obese patients but not in normal-weight PCOS subjects, who can still present with increased insulin secretion by an oral glucose tolerance test (OGTT). The evaluation of insulin secretion and resistance represents a still unresolved problem. The aim of this study is to identify a possible yet noninvasive method to properly evaluate the insulin metabolism in young non-diabetic subjects. Girls aged 14–22 years, afferent to the center of Gynecological Diseases in Childhood and Adolescence of Cagliari (Italy), were screened for PCOS. A total of 42 subjects comprised the study group. Hormonal assays, OGTT, transabdominal (TA) or transvaginal (TV) US, and urine collection for ¹H-NMR analysis were assayed in the early follicular phase. A ¹H-NMR coupled multivariate statistical analysis was performed. The OPLS model indicated that the NMR profile of urine had a good fit and prediction ability for the AUC OGTT with R² = 0.813. Metabolomics can be a promising tool to the potential identification of biomarkers of an exaggerated insulin response to OGTT and can encourage substantial progress for a more accurate and early diagnosis in PCOS.

Pregnancy outcomes in women with polycystic ovarian syndrome (PCOS)

Polycystic ovarian syndrome (PCOS) is the most common endocrinological disease of reproductive-aged women, with an estimated incidence ranging from 5% to 15%. The clinical manifestations of PCOS are heterogeneous and vary according to the age of the patient. Insulin resistance (IR), hyperandrogenism, and obesity are widely assumed to play a pivotal role in the pathophysiological mechanism of PCOS. As previously stated by many conducted meta-analyses, PCOS can cause a rising risk of pregnancy complications, including maternal, fetal, and neonatal complications. Pregnancy-induced hypertension (PIH), preeclampsia (PE), gestational diabetes mellitus (GDM), spontaneous preterm birth (PTB), and an increased necessity for a cesarean section (CS) are the most documented maternal implications. Regarding fetal outcomes, PCOS has also been correlated with elevated neonatal morbidity, prematurity, fetal growth restriction (FGR), birth weight variations (large for gestational age (LGA) and small for gestational age (SGA), and transfer to the neonatal intensive care unit (NICU). Owing to the variability of the studies performed, the association of PCOS with an elevated risk of adverse pregnancy outcomes is still controversial. This variability is found in the diagnosis and clinical presentations of PCOS, and can be influenced by pre-pregnancy circumstances and therapies as well as particular population and environmental features. The Amsterdam consensus guidelines confirm that obesity and IR can worsen maternal and fetal complications; thus, a closer follow-up should be offered to PCOS women during pregnancy.

Inositols in PCOS

(1) Background: Myoinositol (MI) and D-chiro-inositol (DCI) are involved in a number of biochemical pathways within oocytes having a role in oocyte maturation, fertilization, implantation, and post-implantation development. Both inositols have a role in insulin signaling and hormonal synthesis in the ovaries. (2) Methods: Literature search (with key words: inositols, myo-inositol, d-chiro-inositol, PCOS) was done in PubMed until Sept. 2020 and 197 articles were identified, of which 47 were of clinical trials (35 randomized controlled trials). (3) Results: Many studies have demonstrated that in patients with polycystic ovarian syndrome (PCOS) MI treatment improved ovarian function and fertility, decreased the severity of hyperandrogenism including acne and hirsutism, positively affected metabolic aspects, and modulated various hormonal parameters deeply involved in the reproductive axis function and ovulation. Thus treating with MI has become a novel method to ameliorate PCOS symptoms, improve spontaneous ovulation, or induce ovulation. The current review is focused on the effects of MI and DCI alone or in combination with other agents on the pathological features of PCOS with focus on insulin resistance and adverse metabolic outcomes. (4) Conclusions: The available clinical data suggest that MI, DCI, and their combination in physiological ratio 40:1 with or without other compound could be beneficial for improving metabolic, hormonal, and reproductive aspects of PCOS.

Testosterone increases CCL-2 expression in visceral adipose tissue from obese women of reproductive age

CONTEXT

Hyperandrogenic states and obesity in women are associated with insulin-resistance. Androgens reduce glucose uptake in adipose cells and increase TNFα production in peripheral monocytes. Inflammatory cytokines have a known detrimental effect on insulin resistance. The aim of the present study was to explore the role of testosterone in local cytokine production in visceral adipose tissue from women of reproductive age.

DESIGN

Twenty-four women 18-40 years old, undergoing elective abdominal surgery for benign and non-inflammatory conditions, were recruited for the study. Women with clinical hyperandrogenism, diabetes, hepatic or renal dysfunction, hypothyroidism, BMI> 40 or drugs known to interfere with hormonal levels or fat metabolism were excluded. Women were classified into two groups according to BMI, non-obese (NO; BMI < 30) and obese (O; BMI 30-40). A basal blood sample was drawn at the time of surgery for the measurement of glucose, insulin, total testosterone, lipid profile and circulating CCL-2, IL-6 and total adiponectin. Omental fat tissue (10 g) was obtained in all women. Samples of 300 mg of minced adipose tissue were incubated with vehicle (CTL) or testosterone (T) 10^-9 M to 10^-6 M for 24, 48 or 72 h. CCL-2, IL-6, TNFα, androgen Receptor (AR) mRNA levels were measured by Real Time quantitative polymerase chain reaction (qPCR) and normalized to GAPDH expression. Secretion of CCL-2 and IL-6 was measured in conditioned media by ELISA.

RESULTS

Expression of CCL-2 and IL-6 at 24 h in CTLs was significantly higher in the obese group compared to the non-obese group (2.81 ± 0.43 fold for CCL-2; p = 0.005 and 3.26 ± 0.73 fold for IL-6; p = 0.03). At 48 and 72 h there were no differences between both groups in any of the markers. In the total group without T stimulation (CTL) there were significant correlations between: TNFα expression at 24 h and BMI (r = 0.708; p = 0.005), TGC levels (r = 0.904; p = 0.004), total Cholesterol (r = 0.904; p = 0.0046) and IL-6 expression at 24 h (r = 0.642; p = 0.015). CCL-2 expression at 24 h was correlated with BMI (r = 0.637; p = 0.007) and TGC levels (r = 0.700; p = 0.02). Stimulation with T 10^-6 M for 72 h produced an increase in CCL-2 expression, which was significantly larger in the obese group compared to the non-obese group (2.04 ± 0.44 in obese vs 0.82 ± 0.11 in non-obese; p = 0.015). Moreover, in the whole group there was a positive correlation between CCL-2 expression in T-treated tissues (10^-6 M 72 h) and BMI (r = 0.514; p = 0.017). Cytokine determinations followed the same pattern as mRNA but without significant differences.

CONCLUSIONS

Testosterone increases CCL-2 expression in visceral adipose tissue from obese women of reproductive age. This response is associated to BMI. These results show new possible mechanisms connecting androgens to insulin resistance and chronic inflammation.

Indexes of Insulin Resistance in Hyperinsulinemic Polycystic Ovary Syndrome in a Macedonian Cohort of Women of Reproductive Age: A Cross-Sectional Study

BACKGROUND:

Polycystic ovary syndrome (PCOS) is complex hormonal, metabolic and reproductive disorder and is a leading cause of female infertility. Hyperinsulinemia secondary to insulin resistance plays important role in the pathogenesis of PCOS.

AIM:

To assess the sensitivity of different indices of insulin resistance and their relevance in a clinical setting.

MATERIAL AND METHODS:

A cross-sectional study of 43 patients with PCOS and 29 noromo ovulatory women as a control group was conducted. Standard clinical, anthropometrical and hormonal testing for hyperandrogenism was conducted, as well as oral glucose tolerance test with determination of basal and stimulated glucose and insulin values.

RESULTS:

The dynamic I/G index showed the highest sensitivity and specificity, but the static indexes HOMA-IR and QUICKI, although based on only basal glycemic and insulinemic values, showed good sensitivity, 90.38% and 94.01% respectively. HOMA-IR showed significant positive correlation with the stimulated insulin values.

CONCLUSIONS:

Our results support the use of static indexes in the evaluation of insulin resistance in women with PCOS in a clinical setting, offering a simple assessment of insulin resistance in PCOS, which holds great prognostic and treatment implications.

Regional Brain Glucose Hypometabolism in Young Women with Polycystic Ovary Syndrome: Possible Link to Mild Insulin Resistance

Objective

To investigate whether cerebral metabolic rate of glucose (CMR_glu) is altered in normal weight young women with polycystic ovary syndrome (PCOS) who exhibit mild insulin resistance.

Materials and methods

Seven women with PCOS were compared to eleven healthy female controls of similar age, education and body mass index. Regional brain glucose uptake was quantified using FDG with dynamic positron emission tomography and magnetic resonance imaging, and its potential relationship with insulin resistance assessed using the updated homeostasis model assessment (HOMA2-IR). A battery of cognitive tests was administered to evaluate working memory, attention and executive function.

Results

The PCOS group had 10% higher fasting glucose and 40% higher HOMA2-IR (p ≤ 0.035) compared to the Controls. The PCOS group had 9–14% lower CMR_glu in specific regions of the frontal, parietal and temporal cortices (p ≤ 0.018). A significant negative relation was found between the CMR_glu and HOMA2-IR mainly in the frontal, parietal and temporal cortices as well as in the hippocampus and the amygdala (p ≤ 0.05). Globally, cognitive performance was normal in both groups but scores on the PASAT test of working memory tended to be low in the PCOS group.

Conclusions

The PCOS group exhibited a pattern of low regional CMR_glu that correlated inversely with HOMA2-IR in several brain regions and which resembled the pattern seen in aging and early Alzheimer’s disease. These results suggest that a direct association between mild insulin resistance and brain glucose hypometabolism independent of overweight or obesity can exist in young adults in their 20s. Further investigation of the influence of insulin resistance on brain glucose metabolism and cognition in younger and middle-aged adults is warranted.

Diagnosis and challenges of polycystic ovary syndrome in adolescence

Although the diagnostic criteria for polycystic ovary syndrome (PCOS) have become less stringent over the years, determination of the minimum diagnostic features in adolescents is still an area of controversy. Of particular concern is that many of the features considered to be diagnostic for PCOS may evolve over time and change during the first few years after menarche. Nonetheless, attempts to define young women who may be at risk for development of PCOS is pertinent since associated morbidity such as obesity, insulin resistance, and dyslipidemia may benefit from early intervention. The relative utility of diagnostic tools such as persistence of anovulatory cycles, hyperandrogenemia, hyperandrogenism (hirsutism, acne, or alopecia), or ovarian findings on ultrasound is not established in adolescents. Some suggest that even using the strictest criteria, the diagnosis of PCOS may not valid in adolescents younger than 18 years. In addition, evidence does not necessarily support that lack of treatment of PCOS in younger adolescents will result in untoward outcomes since features consistent with PCOS often resolve with time. The presented data will help determine if it is possible to establish firm criteria which may be used to reliably diagnose PCOS in adolescents.

Metabolic disturbance in PCOS: clinical and molecular effects on skeletal muscle tissue

Polycystic ovary syndrome is a complex hormonal disorder affecting the reproductive and metabolic systems with signs and symptoms related to anovulation, infertility, menstrual irregularity and hirsutism. Skeletal muscle plays a vital role in the peripheral glucose uptake. Since PCOS is associated with defects in the activation and pancreatic dysfunction of β-cell insulin, it is important to understand the molecular mechanisms of insulin resistance in PCOS. Studies of muscle tissue in patients with PCOS reveal defects in insulin signaling. Muscle biopsies performed during euglycemic hyperinsulinemic clamp showed a significant reduction in glucose uptake, and insulin-mediated IRS-2 increased significantly in skeletal muscle. It is recognized that the etiology of insulin resistance in PCOS is likely to be as complicated as in type 2 diabetes and it has an important role in metabolic and reproductive phenotypes of this syndrome. Thus, further evidence regarding the effect of nonpharmacological approaches (e.g., physical exercise) in skeletal muscle of women with PCOS is required for a better therapeutic approach in the management of various metabolic and reproductive problems caused by this syndrome.

Metabolically healthy polycystic ovary syndrome (MH-PCOS) and metabolically unhealthy polycystic ovary syndrome (MU-PCOS): a comparative analysis of four simple methods useful for metabolic assessment

STUDY QUESTION

Is it possible to distinguish metabolically healthy polycystic ovary syndrome (MH-PCOS) from metabolically unhealthy PCOS (MU-PCOS) by simple diagnostic tools such as body mass index (BMI), waist/hip ratio (WHR), at-risk category suggested by Androgen Excess Society (AES) and visceral adiposity index (VAI)?

SUMMARY ANSWER

VAI could be an easy and useful tool in clinical practice and in population studies for assessment of MU-PCOS.

WHAT IS KNOWN ALREADY

VAI is a good indicator of insulin sensitivity and cardiometabolic risk in oligo-ovulatory women with PCOS.

STUDY DESIGN, SIZE, DURATION

We conducted a cross-sectional study of 232 women with PCOS in a university hospital setting.

PARTICIPANTS/MATERIALS, SETTING, METHODS

Anthropometric, hormonal and metabolic parameters were evaluated. An oral glucose tolerance test measured areas under the curve (AUC) for insulin (AUC 2h insulin) and for glucose (AUC 2h glucose). Homeostasis model assessment of insulin resistance (HOMA2-IR), the Matsuda index of insulin sensitivity (ISI), the oral dispositional index (DIo) and VAI were determined.

MAIN RESULTS AND THE ROLE OF CHANCE

The prevalence of MU-PCOS according to the different criteria was: BMI, 56.0%; WHR, 18.1%; at-risk criteria of AES, 72.0% and VAI, 34.5%. The likelihood that a woman would exhibit MU-PCOS (except when diagnosed by the WHR criterion) showed a significant positive association with high HOMA2-IR [BMI criterion: (odds ratio (OR): 1.86; 95% confidence interval (CI): 1.43-2.41); risk criteria of AES (OR: 1.86; 95% CI: 1.36-2.56); VAI criterion (OR: 1.45; 95% CI: 1.17-1.80)] and a significant negative association with low ISI Matsuda [BMI criterion: (OR: 0.81; 95% CI: 0.72-0.91); risk criteria of AES (OR: 0.78; 95% CI: 0.69-0.89); VAI criterion (OR: 0.82; 95% CI: 0.71-0.94)]. Only MU-PCOS according to the VAI criterion showed a significant association with low DIo (OR: 0.85; 95% CI: 0.75-0.96); these women also showed a significant association with low luteal progesterone levels (OR: 0.97; 95% CI: 0.95-0.99).

LIMITATIONS, REASONS FOR CAUTION

The analysis is limited by the lack of a gold standard definition of metabolic health that would have allowed the execution of a receiver operator characteristic analysis of the four proposed criteria.

WIDER IMPLICATIONS OF THE FINDINGS

The results will facilitate the early recognition of cardiometabolic risk in women with PCOS before they develop overt metabolic syndrome.

Polycystic ovary syndrome in adolescence: impaired glucose tolerance occurs across the spectrum of BMI

CONTEXT

Polycystic ovary syndrome (PCOS) is a chronic condition with metabolic manifestations spanning the reproductive years.

OBJECTIVE

We sought to examine glucose metabolism, irrespective of the presence of obesity in a cohort of adolescent girls with PCOS.

DESIGN

One hundred adolescents were assessed for PCOS in a multi-specialty adolescent PCOS program. PCOS was diagnosed by Androgen Excess Society criteria. Oral glucose tolerance testing (OGTT), homeostatic model assessment of insulin resistance, and androgen and lipid profiles were performed for those meeting criteria.

RESULTS

Sixty-six adolescents (mean age 15.8 ± 0.2 yrs, range 13.0-18.6) had confirmed PCOS, and were eligible for inclusion in our analysis. Abnormal glucose metabolism was present in 12 of 66 (18.2%) subjects: 2 (3.0%) impaired fasting glucose, 10 (15.2%) impaired glucose tolerance (IGT), and 1 (1.5%) type 2 diabetes. IGT was the most common abnormality, occurring with equal frequency in obese (OB, mean body mass index (BMI) 36.9 ± 0.8 kg/m(2) ) and non-obese (NOB, mean BMI 24.5 ± 0.6 kg/m(2) ) adolescents (p = 0.3). In a subgroup analysis, NOB adolescents with IGT (NOB-IGT) had similar mean 2-h insulin, high density lipoprotein, C-reactive protein, and testosterone levels to the OB cohort despite marked differences in BMI (p < 0.001) and % body fat (p = 0.002). However, the NOB-IGT group had a lower mean fasting insulin level than the OB cohort (p = 0.04).

CONCLUSION

Abnormal glucose metabolism is highly prevalent in adolescents with PCOS. In particular, IGT occurs across the spectrum of BMI. A screening OGTT should be considered for adolescents diagnosed with PCOS, independently of their BMI.

Insulin resistance and the polycystic ovary syndrome revisited: an update on mechanisms and implications

Polycystic ovary syndrome (PCOS) is now recognized as an important metabolic as well as reproductive disorder conferring substantially increased risk for type 2 diabetes. Affected women have marked insulin resistance, independent of obesity. This article summarizes the state of the science since we last reviewed the field in the Endocrine Reviews in 1997. There is general agreement that obese women with PCOS are insulin resistant, but some groups of lean affected women may have normal insulin sensitivity. There is a post-binding defect in receptor signaling likely due to increased receptor and insulin receptor substrate-1 serine phosphorylation that selectively affects metabolic but not mitogenic pathways in classic insulin target tissues and in the ovary. Constitutive activation of serine kinases in the MAPK-ERK pathway may contribute to resistance to insulin's metabolic actions in skeletal muscle. Insulin functions as a co-gonadotropin through its cognate receptor to modulate ovarian steroidogenesis. Genetic disruption of insulin signaling in the brain has indicated that this pathway is important for ovulation and body weight regulation. These insights have been directly translated into a novel therapy for PCOS with insulin-sensitizing drugs. Furthermore, androgens contribute to insulin resistance in PCOS. PCOS may also have developmental origins due to androgen exposure at critical periods or to intrauterine growth restriction. PCOS is a complex genetic disease, and first-degree relatives have reproductive and metabolic phenotypes. Several PCOS genetic susceptibility loci have been mapped and replicated. Some of the same susceptibility genes contribute to disease risk in Chinese and European PCOS populations, suggesting that PCOS is an ancient trait.

The quantitative insulin sensitivity check index is not able to detect early metabolic alterations in young patients with polycystic ovarian syndrome

OBJECTIVE

To verify whether QUICKY is a suitable method for the identification of metabolic deterioration in normal weight patients affected by polycystic ovarian syndrome (PCOS).

DESIGN

Prospective clinical study.

PATIENT(S)

Seventy-nine PCOS normal weight adolescent subjects, 50 eumenorrheic, normal weight, non-hirsute controls matched for age and BMI.

METHOD(S)

Quantitative insulin sensitivity check index (QUICKY) and integrated secretory area under the curve of insulin values (I-AUC) during oral glucose tolerance test were calculated.

RESULT(S)

Seventy-nine PCOS and 50 controls were studied. Normal insulin sensitivity was defined as upper control 95th percentile by QUICKY values <0.31, I-AUC at 180 min < 16,645. When applying the calculated I-AUC cut-off, 41 PCOS were classified as normoinsulinemic and 38 as hyperinsulinemic, whereas using the calculated QUICKY cut-off, only 19 PCOS could be classified as insulin resistant (IR). Fifteen out of the 60 non-IR PCOS presented hyperinsulinemia; fasting glucose and insulin levels and QUICKY were not sufficient to identify these subjects. Thus, QUICKY displayed a low sensitivity (44%) and specificity (91%) in the diagnosis of the metabolic disorder disclosed by I-AUC. CONCLUSIONS.: In young normal weight patients with PCOS the prevalence of early alterations of insulin metabolism are not detectable by QUICKY studies.

Obesity and insulin resistance in women with polycystic ovary syndrome

OBJECTIVE

To evaluate the impact of obesity and various phenotypes of polycystic ovary syndrome (PCOS) on the insulin sensitivity index (ISI) and insulin resistance (IR).

METHODS

ISI and IR from 273 women in four phenotypes of PCOS and control groups were evaluated retrospectively.

RESULTS

The ISI and the percentage of IR were not significantly different among discrete phenotypes of PCOS groups and normal controls. Obesity (OR = 14.0, 95% CI (Confidence Interval), 7.5-26.5) results in a higher risk for developing insulin resistance than hyperandrogenemia (OR = 2.1, 1.3-3.6), oligomenorrhea (OR = 1.8, 1.0-3.3) and polycystic ovary morphology (PCOM) (OR = 1.4, 0.8-2.7).

CONCLUSION

The ISI did not differ significantly among the various phenotypes of PCOS. In comparison with hyperandrogenemia, chronic anovulation, and PCOM, obesity was the dominant risk factor in determining insulin resistance in women with PCOS.

IL-6 serum levels and production is related to an altered immune response in polycystic ovary syndrome girls with insulin resistance

Polycystic ovarian syndrome (PCOS) is frequently characterized by obesity and metabolic diseases including hypertension, insulin resistance, and diabetes in adulthood, all leading to an increased risk of atherosclerosis. The present study aimed to evaluate serum and production of inflammatory markers in adolescent Sardinian PCOS. On the basis of HOMA findings, patients were divided into noninsulin resistant (NIR) and insulin resistant (IR), and were weight- and age-matched with healthy girls. Inflammatory cytokines (TNF-α, IL-6, Il-10, TGF-β) and lipokines (leptin, adiponectin), the reactant hs-CRP, and in vitro inflammatory lympho-monocyte response to microbial stimulus were evaluated. In healthy and PCOS subjects, leptin and hs-CRP were correlated with BMI, whereas adiponectin was significantly reduced in all PCOS groups. Although cytokines were similar in all groups, Interleukin-6 (IL-6) was significantly higher in IR PCOS. Moreover, in the latter group lipopolysaccharide-activated monocytes secreted significantly higher levels of IL-6 compared to NIR and control subjects. To conclude, IR PCOS displayed increased IL-6 serum levels and higher secretion in LPS-activated monocytes, whilst revealing no differences for other inflammatory cytokines. These results suggest that in PCOS patients an altered immune response to inflammatory stimuli is present in IR, likely contributing towards determining onset of a low grade inflammation.

Assessing and treating insulin resistance in women with polycystic ovarian syndrome

Polycystic ovarian syndrome (PCOS) is a highly prevalent hormonal and metabolic disorder among reproductive aged women worldwide. Women with PCOS have widely varying phenotypes and seek medical care for differing reasons. In addition to concern for menstrual cycle function, ovulation, hirsutism and acne, many PCOS women have abnormal glucose metabolism. While diabetes mellitus and impaired glucose tolerance are easily diagnosed, the diagnosis of and concern for insulin resistance as a precursor disorder is underappreciated. Insulin resistance may be the first important marker of metabolic disease in PCOS women at risk for metabolic syndrome and coronary artery disease.

Age of onset of polycystic ovarian syndrome in girls may be earlier than previously thought

OBJECTIVES

To study the age at diagnosis of polycystic ovarian syndrome (PCOS) in a pediatric population. To compare risk factors involved in causing PCOS in preadolescent and adolescent girls. To review the current literature on the reported age of PCOS in girls.

DESIGN

A retrospective chart review and systematic review of the literature.

PARTICIPANTS

Patients included 58 girls (age ≤ 18 yrs) with a diagnosis of PCOS based on the Rotterdam criteria. Girls were grouped as preadolescents (<13 yrs) or adolescents (13-18 yrs). Clinical and biochemical data were reviewed from the time of diagnosis.

MAIN OUTCOME MEASURES

Age at diagnosis. Differences in risk factors for PCOS (Ethnicity, obesity, family history of PCOS, birth weight, age at pubarche, thelarche and menarche, evidence of hyperandrogenism and/or insulin resistance) were compared between the two groups.

RESULTS

There were 26% (15/58) preadolescent girls (9-12 yrs) vs 74% (43/58) adolescents (13-18 yrs). There was no significant difference between the two groups in ethnicity, BMI z-score, family history of maternal PCOS, birth weight, hyperandrogenism, or insulin resistance. Preadolescents with PCOS had significantly earlier onset of pubarche and thelarche than adolescents with PCOS, by 1.9 and 1.5 yrs, respectively (P = 0.018, 0.030). In addition to earlier puberty, PCOS developed 2.1 years sooner after thelarche in preadolescents than in adolescents. (P = 0.008) Preadolescents were significantly taller for age than adolescents (72nd % vs 43rd %) (P = 0.005). A review of the 28 studies published in the last 3 years that included PCOS patients with age <=18 yrs described only 6.4% (27/425) of pediatric subjects with age <13 yrs. Four were primarily pediatric studies that included patients under the age of 13 yrs, with 9.4% (12/127) of the patients <13 yrs.

CONCLUSION

Increased awareness of PCOS in young females is needed. PCOS may occur at a younger age in girls who develop early pubarche and thelarche. Therefore, the diagnosis and workup should be considered in young girls with risk factors suggestive of PCOS.

Polycystic ovary syndrome in adolescence

The definition of polycystic ovary syndrome in very young girls is complicated by the fact that many features typical of the syndrome can also be seen as physiological stages in the maturation of the hypothalamus-pituitary-ovarian axis. The role of reduced insulin sensitivity in the pathogenesis and evolution of the disorder has gained more importance over recent years: both elevated androgen levels and being overweight may influence the impairment of glucose metabolism. Our study focused on 250 girls in the first 8 years of gynecological age. We analyzed the prevalence of different phenotypes according to the Rotterdam criteria and the impact of higher BMI on androgen levels and on fasting screening markers of glucose metabolism. In a smaller sample, we performed a more detailed evaluation of the glucose metabolism parameters; our findings indicated that in this age group, being overweight plays a major role in the deterioration of the clinical picture.

Obesity-related lipid profile and altered insulin incretion in adolescents with polycystic ovary syndrome

PURPOSE

The objective of this study was evaluate influence of body mass index (BMI), hyperinsulinemia and/or insulin resistance (IR), and androgens on the lipid profile of adolescent polycystic ovary syndrome (PCOS).

METHODS

A total of 71 PCOS and 94 healthy adolescent girls from a Southern Italian region were included in the study. At day 5-8 of menstrual cycle, patients underwent a 75-g oral glucose tolerance test to evaluate insulin levels; lipid and homocysteine levels were also assessed, baseline hormonal assays and ultrasound examination performed, and anthropometric characteristics measured.

RESULT

No differences were observed in the incidence of overweight or obesity and total cholesterol, high-density lipoprotein (HDL) cholesterol level, low-density lipoprotein cholesterol level; triglycerides and homocysteine levels did not differ between PCOS and control groups. All fasting metabolic indexes were similar, whereas insulin secretion after glucose load (I-AUC) was significantly higher in PCOS subjects. Total cholesterol levels were significantly related to waist-hip ratio (WHR). Low-density lipoprotein level was positively correlated with BMI, waist, WHR, and homeostasis model assessment (HOMA) but not I-AUC. Findings obtained for HDL correlated negatively to the same parameters, being also negatively correlated to both fasting insulin and HOMA, but not I-AUC. Moreover, HDL was positively correlated to circulating androstenedione (A) and negatively to circulating testosterone (T) levels. Triglycerides seemed to correlate positively with body BMI, waist, and WHR, and negatively with A levels. Homocysteine levels correlated positively with plasma triglyceride content.

CONCLUSION

In the adolescent population studied, no differences were revealed in lipid profile between PCOS and controls. The PCOS is not a discriminant factor. The anthropometric characteristics resulted in the primary factor influencing the lipid derangement, confirming the importance of treating obesity at an early age to reduce morbidity rates. Hyperinsulinemia and IR, peculiarities of PCOS capable of influencing long-term evolution into cardiovascular diseases and diabetes mellitus, are not associated with worse lipid profile. Young patients should be encouraged and motivated to change their lifestyle, with the aim of losing weight and thus reducing risk of onset of overt dyslipidemia.

Evaluation of insulin resistance and metabolic syndrome in patients with polycystic ovary syndrome

AIM

Polycystic ovary syndrome (PCOS) is associated with the clustering of states including insulin resistance (IR), obesity, elevated blood pressure, and dyslipidemia that are termed as metabolic syndrome (MBS). This study was designed to assess the differences between homeostatic model assessment (HOMA) values in PCOS and healthy women.

METHODS

In a case-control study, 55 women with PCOS and 59 women with normal cycles (control group) aged 15-40 years old were evaluated. In all the subjects (after obtaining written informed consent), blood pressure, body weight, height, body mass index (BMI), waist /hip ratio(WHR) and fasting blood glucose (FBG), triglycerides (TG), HDL, C-peptide, insulin, HOMA Index, and FGIR (fasting glucose to insulin ratio) were measured.

RESULTS

In this study, the prevalence of MBS was significantly higher in PCOS group compared with the control group (p = 0.028). There were no significant differences in age, waist/hip ratio, fasting glucose, insulin, and C-peptide levels between patients with PCOS and control group. Furthermore, the prevalence of impaired fasting glucose (IFG) and the mean of HOMA and FGIR did not differ significantly between PCOS and control group.

CONCLUSION

Criteria of MBS are frequently present in young women with PCOS and may be more useful as a prognostic factor than IR indexes in this age group. We suggest evaluation of IR in older age women with PCOS.

Diagnosis of metabolic disorders in women with polycystic ovary syndrome

Although there is a widespread on-going debate throughout the scientific community with regard to the pathogenesis of polycystic ovary syndrome, the association between this frequently observed endocrine disorder and insulin resistance has been universally acknowledged. Numerous tests have been proposed for use in assessing reduced sensitivity to insulin in women with polycystic ovary syndrome. The gold standard is represented by the euglycemic hyperinsulinemic clamp, although not yet available for application in routine clinical practice in view of its complexity and high cost. Measurement of oral glucose load and the use of several fasting tests feature a good degree of reliability and can be easily repeated. It remains to be ascertained, however, which therapeutic procedures, if any, are best suited for use in women affected by hyperinsulemia.

TARGET AUDIENCE

Obstetricians & Gynecologists, Family Physicians.

LEARNING OBJECTIVES

After reading this article, the reader should be able to outline metabolic consequences of polycystic ovarian syndrome (PCOS), conclude that testing insulin resistance is an important step in the care of women with PCOS, and recall the indications and limits of testing strategies for insulin resistance.