The cut-off value for HOMA-IR discriminating the insulin resistance based on the SHBG level in women with polycystic ovary syndrome

Sex hormone-binding globulin as a biomarker for metabolic risk in European women with polycystic ovary syndrome

OBJECTIVE

Sex hormone-binding globulin (SHBG) is suggested to be a biomarker for metabolic disturbances in women with polycystic ovary syndrome (PCOS). Insulin resistance and hyperinsulinemia is common in PCOS patients. Low SHBG increases free testosterone levels, which further induces hyperinsulinemia. There is no established cutoff level for SHBG in PCOS patients. The goal of this study is to examine SHBG as a biomarker for metabolic dysregulation in European women with PCOS in relation to hyperandrogenemia.

METHODS

Retrospective data was collected from the outpatient clinic for menstrual cycle disorders at Maastricht University Medical Center+. 208 women were included, aged between 18 and 40 years old. During a one-time visit to the clinic, physical examination and vaginal ultrasound evaluation were performed as well as endocrine evaluation performed after overnight fast. The women were diagnosed with PCOS according to the European Society of Human Reproduction and Embryology (ESHRE) 2018 guideline.

RESULTS

BMI was inversely associated with SHBG (β -0.598, 95% CI [-0.710 to -0.485]) and waist circumference (β -0.604, [-0.715 to -0.492]), even after correction for HOMA-IR and testosterone. A cutoff level <40 nmol/L was significantly, and unfavorably, associated with all metabolic outcomes. Its AUROC was optimal for waist circumference (sensitivity 0.75, specificity 0.82).

CONCLUSIONS

SHBG levels <40 nmol/L are indicative for metabolic dysregulation in European women with PCOS. Waist circumference is an important predictor for SHBG, comparable to BMI. Visceral adiposity might play an important role in the expression of SHBG and etiology of PCOS.

The effect of vitamin D supplementation on markers of insulin resistance in women with polycystic ovarian syndrome: a systematic review

BACKGROUND

Insulin resistance (IR) is a common pathology in women with polycystic ovarian syndrome (PCOS) involved in increased rates of cardiometabolic disease such as diabetes and cardiovascular disease. Low serum vitamin D is often associated with insulin resistance but there is no consensus on whether vitamin D supplementation can ameliorate markers of IR in PCOS.

OBJECTIVES

We assessed evidence on the effects of vitamin D supplementation (≥ 1000 IU/day), without the use of additional supplements or other pharmacological treatments known to affect IR, on markers of IR and glycemic control in women with PCOS.

DESIGN

A systematic search was conducted using PubMed, Medline and Web of Science databases from January 2000 up to November 2023. Randomized controlled trials that assessed the effects of vitamin D supplementation in women with PCOS, on fasting glucose, fasting insulin, glycated haemoglobin (HbA1c) or homeostatic model assessment for insulin resistance (HOMA-IR) were included.

RESULTS

9 studies were identified. Study populations ranged from 28 to 180 participants, with mean ages ranging from 22 to 30 years. Daily vitamin D doses ranged from 1714-12,000 IU. Of the included studies, 3 reported statistically significant reductions in fasting glucose, 2 reported reductions in fasting insulin, 2 reported reductions in HOMA-IR, none reported reductions in HbA1c and 5 reported no differences in any of the relevant outcomes.

CONCLUSIONS

In conclusion, in RCTs of vitamin D supplementation in women with PCOS, the majority of studies do not report statistically significant improvements in fasting glucose, fasting insulin, HbA1c or HOMA-IR. However, as a minority of studies report some statistically significant results, further investigation may be warranted.

REGISTRY

PROSPERO ID: CRD42023486144.

Obesity is associated with SHBG levels rather than blood lipid profiles in PCOS patients with insulin resistance

OBJECTIVE

Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder characterized by hormonal imbalances and insulin resistance (IR). Among the metabolic abnormalities associated with PCOS, obesity is often present concurrently. Nevertheless, the correlation between obesity, sex hormone levels, and blood lipid profiles in PCOS patients with IR remains uncertain.

METHODS

This is a cross-sectional study including a total of 206 Chinese women diagnosed with PCOS, enrolled between March 2016 and December 2021. The participants' anthropometric measurements, such as weight, height, waist circumference, and hip circumference, were recorded. Additionally, fasting blood samples were collected to measure various parameters, including fasting glucose, insulin levels, lipid profiles, and sex hormone levels.

RESULTS

Our findings highlight that obesity exhibited a significant correlation with lower levels of sex hormone binding globulin (SHBG) and elevated levels of free androgen index (FAI), fasting insulin, and HOMA-IR in PCOS patients diagnosed with IR. However, no significant association between obesity and blood lipid profiles was observed within this particular group of women.

CONCLUSION

This study suggests that among PCOS patients with IR, lower levels of SHBG and higher levels of FAI are associated with obesity. These findings indicate that SHBG and FAI may have the potential to serve as a biomarker for the initial identification and prognosis of IR in PCOS patients.

TRIAL REGISTRATION

Retrospectively registered on 25/04/2020 at ClinicalTrials.gov Identifer: NCT04264832.

SHBG Levels Do Not Correlate with Insulin Levels in PCOS with Appropriate Fasting Insulin Sensitivity

Introduction: There are several phenotypes of polycystic ovarian syndrome (PCOS), and the different phenotypes may differ metabolically. Methods: In the present retrospective study, women with PCOS having normal fasting insulin sensitivity (n = 88) were compared with women with PCOS showing impaired insulin sensitivity (n = 46) using the HPCOS (Hungarian Polycystic ovarian syndrome) database. Results: The impaired insulin sensitivity group has significantly higher body mass index (BMI) and HOMA index than the normal fasting insulin sensitivity group (BMI (kg/m2): 22.0 vs. 28.1, p < 0.0001, HOMA index: 0.96 vs. 2.38, p < 0.0001). The sex hormone binding globulin (SHBG) level was significantly lower, and the free androgen index proved itself significantly higher in the impaired insulin sensitivity group (p < 0.05). Linear regression analysis showed a negative association of BMI with SHBG levels in both groups, while BMI had a positive correlation with insulin concentrations in both groups. However, the SHBG levels were negatively associated with insulin concentrations in the impaired insulin sensitivity group, but this inverse association could not be observed in the normal fasting insulin sensitivity group. Conclusions: The inverse linear correlation of SHBG with HOMA index and serum insulin level is not evident in all PCO syndrome phenotypes, thus SHBG has limited applicability for characterizing carbohydrate metabolism and serum insulin sensitivity.

Insulin Resistance in Patients with Polycystic Ovary Syndrome is a Predictor of Fibromyalgia

OBJECTIVE

This study aims to investigate the frequency of fibromyalgia and its predictors in women with polycystic ovary syndrome (PCOS) and its relationship with insulin resistance, and to assess the effect of fibromyalgia on the anxiety and depressive symptoms in PCOS patients, and how the quality of life was affected by this combination.

MEASUREMENTS

The study was conducted with 74 women with PCOS according to the Rotterdam criteria, which applied to our tertiary care clinic between January 2021 and January 2022, and 51 controls. Endocrinologic and rheumatologic examinations, biochemical and hormonal analyses, and radiologic imaging are made. Hospital anxiety and depression scale (HADs) and Short Form 36 (SF-36) quality of life scale were applied.

RESULTS

There was no statistical difference between patients (n = 74 (23%)) and controls (n = 51 (13.7%)) in terms of fibromyalgia frequency. This frequency was 41.4% in PCOS patients with insulin resistance. The presence of insulin resistance was significantly higher in patients with PCOS and fibromyalgia (70.4%, 12 of 17 patients with fibromyalgia for the PCOS group; 8.3%, 1 of 7 patients with fibromyalgia for the control group) (χ2 = 9.130, p=0.003). Higher HOMA-IR levels (B = 1.278, p = 0.034) and age (B = 1.134, p = 0.022) were significant predictors of fibromyalgia in PCOS patients. Physical functioning (U = 1.960, P = 0.050), bodily pain subscales (U = 2.765, p = 0.006), and physical health summary measure (U = 2.296, p = 0.022) were significantly lower, VAS pain (U = 5.145, p < 0.0001) and fatigue (U = 5.997, p < 0.0001) scale scores were higher in PCOS patients with fibromyalgia.

CONCLUSIONS

Our results show that fibromyalgia is frequent in PCOS patients with insulin resistance.

Questioning PCOS phenotypes for reclassification and tailored therapy

Precise diagnoses are essential for defining appropriate treatments. This is particularly true for polycystic ovary syndrome (PCOS), whose phenotypical manifestations have recently suggested a possible diversity of etiological factors. PCOS is defined on the basis of gynecological and endocrinological alterations, but the patients often display considerable metabolic impairments, such as insulin resistance, that may worsen typical symptoms. The Rotterdam criteria fail to address this aspect, and the medical community has recently started to consider them as misleading diagnostic tools, casting doubts on whether the term PCOS is suited to describe all the clinical manifestations observed. This Opinion collects and critically discusses the scientific reports that question the definition of PCOS, calling for a revision of the current diagnostic criteria.

Subfertility as Overlapping of Nutritional, Endocrine, Immune, and Cardiometabolic Dysregulations-A Study Focused on Biochemical Endophenotypes of Subfertile Couples

Subfertility is a global health issue, and as many as 30% of cases are attributed to unexplained reasons. A hypercaloric, high-fat diet stimulates the expansion of pro-inflammatory gut microbiota with a consequent rise in circulating lipopolysaccharides. Adverse gut microbiota remodeling can exacerbate insulin resistance, while sex and thyroid hormones may influence the variability in gut microbiota. This cross-sectional study included 150 participants and was designed to determine a biochemical, nutritional-related pattern that may distinguish subfertile from fertile individuals and couples. A panel of 28 biomarkers was assessed. Four biochemical phenotypes of unexplained subfertility were found, including two metabolic and two immune, when assessed using binary logistic regression models. Two phenotypes were distinguished in women: cardio-metabolic with atherogenic dyslipidemia (LowHDL-cholesterol: OR = 10.9; p < 0.05) and autoimmune thyroid disorder (Highanti-thyroid-peroxidase: OR = 5.5; p < 0.05) and two in men: hepato-metabolic with elevated liver injury enzymes (HighHOMA-IR: OR = 6.1; p < 0.05) and immune type-2 response (HighIgE: OR = 6.4; p < 0.05). The chances of a couple's subfertility rose with the number of laboratory components of metabolic syndrome in the couple (OR = 1.7; p < 0.05) and if at least one partner had an elevated total IgE level (>100 kU/L) (OR = 6.5; p < 0.05). This study found that unexplained subfertility may be accompanied by mutually overlapping immune and metabolic dysregulations in individuals and couples. We propose one-time laboratory diagnostics taking into account the lipid profile, insulin resistance, anti-thyroid-peroxidase, and total IgE in both males and females with unexplained subfertility. This may allow for a one-time assessment of targeted medical and nutritional interventions and help optimize patients' health. The gut-organ axes related to subfertility are discussed in the context of the obtained results.

Association of FTO gene variant rs9939609 with polycystic ovary syndrome from Gujarat, India

BACKGROUND

Polycystic ovary syndrome is a multifactorial endocrine disorder impacting women of reproductive age. Variations within the FTO gene have been linked to both obesity and type 2 diabetes mellitus. Given that PCOS is frequently associated with obesity and compromised glucose tolerance, we investigated the prevalence of the rs9939609 variant within the FTO gene among women diagnosed with PCOS and a control group. Our aim is to uncover potential correlations between this genetic variant, metabolic attributes, and endocrine markers within the Gujarat province of India.

METHOD

We enrolled a total of 114 participants, (62 individuals diagnosed with PCOS and 52 healthy controls). DNA extraction from venous blood was conducted for all participants. The rs9939609 polymorphism was investigated through tetra-primer amplification refractory mutation system-polymerase chain reaction. Furthermore, we performed biochemical assessments to quantify levels of estradiol, luteinizing hormone (LH), follicle-stimulating hormone (FSH), thyroid-stimulating hormone (TSH), total testosterone, prolactin (PRL), and Dehydroepiandrosterone sulfate (DHEAS). Statistical analyses were carried out utilizing SPSS version 21 (IBM, USA).

RESULTS

The present study did not reveal any noteworthy association between cases and controls. The frequencies of genotypes and alleles within the cohorts displayed no statistically significant differences (p = 0.25, p = 0.68, and p = 0.78, respectively). The dominant model indicated a modest risk (OR:1.13, 95%CI: 0.55 to 2.38) toward PCOS development. There was a noticeable statistical difference observed in the levels of total testosterone, DHEAS, and BMI between the case and control groups (p < 0.002, p < 0.0002, p < 0.0008). However, no variations in clinical variables were observed among genotypes within the PCOS group.

CONCLUSION

This is the first study to investigate the association of FTO gene polymorphism and PCOS in Gujarati population. Our study findings indicate that the FTO gene variant is not directly linked to the onset of PCOS. However, it appears to exert an influence on metabolic factors such as obesity and insulin resistance. Notably, our results suggest that insulin resistance is more frequently observed among PCOS patients who are obese, as compared to those with non-obese PCOS patients.