In women with PCOS, waist circumference is a better surrogate of glucose and lipid metabolism than disease status per se

Assessing body composition through anthropometry: Implications for diagnosing and managing polycystic ovary syndrome (PCOS)

Polycystic ovary syndrome (PCOS) is a multifaceted endocrine disorder with profound implications for the reproductive and metabolic health of women. The utilization of anthropometric measures in the diagnosis and management of PCOS has gained increasing attention due to their practicality and predictive capacity for associated conditions such as obesity and insulin resistance. This review rigorously explores the application of various anthropometric indices, including body mass index, waist-to-hip ratio, and advanced metrics such as the body shape index and body roundness index, wrist circumference, neck circumference. These indices offer critical insights into body fat distribution and its association with the metabolic and hormonal perturbations characteristic of PCOS. The review underscores the necessity of addressing obesity, a prevalent comorbidity in PCOS, through lifestyle modifications and personalized therapeutic approaches. By incorporating anthropometric evaluations into routine clinical practice, healthcare professionals can enhance diagnostic precision, optimize treatment strategies, and ultimately improve patient outcomes. This integrative approach not only facilitates the management of the metabolic challenges inherent in PCOS but also contributes to the development of more individualized therapeutic interventions, thereby enhancing the overall quality of life for women affected by PCOS.

Exploring the therapeutic mechanisms of Yikang decoction in polycystic ovary syndrome: an integration of GEO datasets, network pharmacology, and molecular dynamics simulations

Objective

The incidence of Polycystic Ovary Syndrome (PCOS) is increasing annually. This study aims to investigate the therapeutic mechanisms of Yikang Decoction (YKD) in the treatment of PCOS through the integration of GEO datasets, network pharmacology, and dynamic simulation.

Methods

Active ingredients of YKD and their targets were collected from the Traditional Chinese Medicine Systems Pharmacology (TCMSP) platform. Disease-relevant targets for PCOS were retrieved from several databases, including GeneCards, OMIM, PharmGKB, DrugBank, and GEO. The underlying pathways associated with the overlapping targets between YKD and PCOS were identified using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. The mechanisms of interaction between the core targets and components were further explored through molecular docking and molecular dynamics simulations (MD).

Results

139 potential active components and 315 targets of YKD were identified. A topological analysis of the PPI network revealed 10 core targets. These targets primarily participated in the regulation of biological processes, including cell metabolism, apoptosis, and cell proliferation. The pathways associated with treating PCOS encompassed PI3K-Akt signaling pathway, Lipid and atherosclerosis, MAPK signaling pathways, and Endocrine resistance signaling pathways. Moreover, molecular docking and MD have been shown to reveal a good binding capacity between active compounds and screening targets.

Conclusion

This study systematically investigates the multi-target mechanisms of YKD in the treatment of PCOS, with preliminary verification provided through molecular docking and MD. The findings offer compelling evidence supporting the efficacy of YKD in treating PCOS.

Predictive Factors of Menstrual Recovery After Laparoscopic Sleeve Gastrectomy in Polycystic Ovary Syndrome Women with Obesity

Objective

To explore the predictors of menstrual recovery in polycystic ovary syndrome (PCOS) women with obesity following laparoscopic sleeve gastrectomy (LSG).

Methods

A total of 88 PCOS patients with obesity and 76 control patients with obesity aged 18-45 years were enrolled between May 2013 and December 2020. PCOS was diagnosed using the Rotterdam diagnostic criteria (2003). Anthropometric measurements, biochemical parameters, sex hormones, and circulating fibrinogen-like protein 1 (FGL-1) levels were collected before and six-month after LSG. The data on postoperative menstrual status, body weight, and fertility were obtained through telephone follow-ups for all individuals with PCOS.

Results

Patients with PCOS were followed up for at least six months after surgery, and the mean follow-up time was 3.23 years. At 6 months after LSG, circulating total testosterone (TT), calculated free testosterone (cFT), and FGL-1 levels declined significantly. The mean percent excess weight loss (%EWL) and percent total weight loss (%TWL) in PCOS patients at the final follow-up was 97.52% ± 33.90% and 31.65% ± 10.31%, respectively. The proportion of regular menstruation in PCOS patients significantly increased within six months (75.86% vs 0.03% at baseline). In the logistic regression analysis, time from PCOS diagnosis (P=0.007), body mass index (BMI) (P=0.007), TT (P=0.038) at baseline were demonstrated to be independent predictive factors for the regular menstruation in women with PCOS and obesity within 6 months after LSG.

Conclusion

In PCOS patients with obesity, time from PCOS diagnosis, BMI, and TT levels at baseline were independently and negatively associated with menstrual recovery within 6 months after LSG, which could be applied in preoperative evaluation.

Infertility-related stress and quality of life among infertile women with polycystic ovary syndrome: Does body mass index matter?

OBJECTIVE

Infertility and obesity are common among women with Polycystic ovary syndrome (PCOS) and related to poor quality of life (QoL). Obesity may confer an elevated adverse effect of infertility-related stress given its relationship with increased susceptibility to stress. This study aimed to investigate the association of infertility-related stress with QoL among infertile women with PCOS, and to evaluate whether body mass index (BMI) modifies this association.

METHODS

A cross-sectional study was conducted with 306 participants recruited from the infertility outpatient clinic. A self-administered, structured questionnaire including COMPI Fertility Problem Stress Scale (COMPI-FPSS) and the modified PCOS health-related QoL questionnaire (MPCOSQ) was conducted in this study. The moderation model was conducted by the PROCESS macro using SPSS.

RESULTS

The mean score of QoL was 142.67 (SD = 20.11), ranged from 93 to 183 (theoretical range = 30-210). QoL was negatively associated with infertility-related stress (r = -0.373, P < 0.001). Moderation analysis indicated that the interaction term between infertility-related stress and BMI significantly predicted QoL (β = -0.154, P = 0.005, f² = 0.03) as well as emotional disturbance (β = -0.170, P = 0.002, f² = 0.04). Specifically, higher BMI significantly exacerbated the effect of infertility-related stress on QoL and emotional disturbance.

CONCLUSION

Infertile women with PCOS experienced poor QoL. The moderation role of BMI provides a better understanding of individual difference in relationship between infertility-related stress and QoL. Interventions aiming to improve QoL among infertile women with PCOS should focus on alleviating infertility-related stress, especially among women with high BMI.

Relationship between body composition, insulin resistance, and hormonal profiles in women with polycystic ovary syndrome

OBJECTIVE

To investigate how body fat influences glucose metabolism and hormone profiles in women with polycystic ovary syndrome (PCOS), compared to women without PCOS.

METHODS

We conducted a cross-sectional study of 166 women with PCOS and 139 age-matched control women at Peking University Third Hospital (Beijing, China) from March 2016 to December 2021. All participants underwent bioimpedance rate assessment of clinical, anthropometric, hormonal, and metabolic features. In particular, body composition parameters were assessed, based on the methods used in a previous study. Homeostasis model assessment-insulin resistance (HOMA-IR) and other indices calculated from fasting glucose and insulin were used to measure insulin resistance. The hormonal profiles [follicle-stimulating hormone (FSH), luteinizing hormone (LH), estrogen (E2), prolactin (PRL), total testosterone (T), and androstenedione (A2)] were assessed by using biochemical methods. Two subgroup analyses were conducted according to waist-to-hip ratio (WHR; < 0.85, non-central obesity and ≥ 0.85, central obesity) and body fat percentage (BFP; < 35% for lean and ≥35% for obesity). The indices above were analyzed using a two-sided t-test or Wilcoxon rank sum test. Linear regression was used to investigate the effects of body composition on metabolism and sex hormones in the PCOS and control groups.

RESULTS

Compared to women without PCOS, women with PCOS and central obesity (P=0.021), PCOS and noncentral obesity (P<0.001), PCOS and high BFP (P<0.001), and PCOS and low BFP (P<0.001) had more severe glucose metabolism evaluated with HOMA-IR. Women with PCOS experienced greater insulin sensitivity impairment than did the normal population for every equal increase in BFP. LH, LH/FSH, total testosterone, and androstenedione were significantly higher in patients with PCOS than in healthy controls, regardless of WHR and BFP stratification. However, negative correlations existed between body fat indices (i.e., BFP and body mass index) and hormone indices (i.e., LH and androstenedione) in the PCOS group, but were absent in the control group.

CONCLUSIONS

Obese and non-obese women with PCOS have more severe insulin resistance and sex-hormone disorders than women without PCOS. The effect of body fat on sex-hormone disorders is only exist in women with PCOS. These findings suggested that PCOS clinical guidelines should be more specific to body fat.

CLINICAL TRIAL REGISTRATION

https://clinicaltrials.gov/, Registration No. NCT04264832.

The Changes in Body Composition in Obese Patients with Polycystic Ovary Syndrome after Laparoscopic Sleeve Gastrectomy:a 12-Month Follow-up

OBJECTIVES

To investigate the changes in body fat distribution and predicting factors of these changes in polycystic ovary syndrome (PCOS) patients with obesity, after laparoscopic sleeve gastrectomy (LSG).

METHODS

This study consecutively enrolled 153 patients with obesity aged 18-45 years (83 with PCOS and 70 control patients) who underwent LSG from May 2013 to September 2020 at the Department of Endocrinology, Shanghai Tenth People's Hospital, with a 12-month follow-up. Dual-energy X-ray absorptiometry (DEXA) was used to assess body fat distribution.

RESULTS

The percentage of fat mass loss in the visceral adipose tissue (VAT) region (55.08%) was more than that in any other body regions at 12 months post-surgery in the PCOS group yet insignificant. Homeostatic model assessment of insulin resistance (HOMA-IR) at baseline and Δ HOMA-IR were only negatively correlated with the variations in VAT mass and volume at 3 months post-surgery in the PCOS group. Logistic regression analysis showed that HOMA-IR <6.65 was an independent predictive factor for the changes in VAT mass and volume at 3 months post-surgery in the PCOS group.

CONCLUSIONS

In this study, the percentage loss of fat mass was greater in the VAT region than in any other body regions in all patients. The rate of VAT decrease in the PCOS group was higher than that in the control group yet insignificant. Compared with control patients, HOMA-IR at baseline was an independent risk factor for the changes in VAT mass and volume at 3 months post-surgery in patients with PCOS.

KEY POINTS

• The percentage loss of fat mass was greater in the VAT region than in any other body regions in all patients. • The rate of VAT decrease in the PCOS group was higher than that in the control group yet insignificant. • HOMA-IR at baseline was an independent risk factor for the changes of VAT mass in patients with PCOS.

The Possibilities of Using Chromium Salts as an Agent Supporting Treatment of Polycystic Ovary Syndrome

The polycystic ovary syndrome (PCOS) is the most frequent endocrinopathy in women in reproductive age with the so far undetermined causes of development. In the etiopathogenesis of PCOS, the role of insulin resistance is emphasised, which was an indication for the attempts at using chromium III salts (Cr) in augmenting pharmacotherapy applied in patients. The analysis of the usefulness and efficacy of this approach was the direct goal of this thesis. Animal tests confirmed the efficacy of chromium in maintaining the appropriate level of glycaemia and insulinaemia, normalisation of plasma concentrations of microelements and also a correlation between the Cr level, insulin and dehydroepiandrosterone (DHEA) was found. A decrease in the expression of 3β-hydroxysteroid dehydrogenase and 17β-hydroxysteroid dehydrogenase was identified in adipose tissue. Clinical studies, although sparse, show that the supplementation with chromium can improve BMI and the parameters evaluating the control of glycaemia and increase the chances for ovulation and regular menstruation. However, the small number and a variability in study protocols makes comparing them very difficult. A completely new subject that has not been yet studied is the possibility of using chromium in levelling mood disorders in patients with PCOS. Currently, there are still no sufficient proofs for introducing chromium as a standard in treating and preventing insulin resistance in patients with PCOS. However, this direction remains open, and treating insulin resistance is an important challenge in clinical practice.

Development of a novel risk prediction and risk stratification score for polycystic ovary syndrome

OBJECTIVE

The aim of this study was to develop a simple phenotypic algorithm that can capture the underlying clinical and hormonal abnormalities to help in the diagnosis and risk stratification of polycystic ovary syndrome (PCOS).

METHODS

The study consisted of 111 women with PCOS fulfilling the Rotterdam diagnostic criteria and 67 women without PCOS. A Firth's penalized logistic regression model was used for independent variable section. Model optimism, discrimination and calibration were assessed using bootstrapping, area under the curve (AUC) and Hosmer-Lemeshow statistics, respectively. The prognostic index (PI) and risk score for developing PCOS were calculated using independent variables from the regression model.

RESULTS

Firth penalized logistic regression model with backward selection identified four independent predictors of PCOS namely free androgen index [β 0.30 (0.12), P = 0.008], 17-OHP [β = 0.20 (0.01), P = 0.026], anti-mullerian hormone [AMH; β = 0.04 (0.01) P < 0.0001] and waist circumference [β = 0.08 (0.02), P < 0.0001]. The model estimates indicated high internal validity (minimal optimism on 1000-fold bootstrapping), good discrimination ability (bias corrected c-statistic = 0.90) and good calibration (Hosmer-Lemeshow χ²  = 3.7865). PCOS women with a high-risk score (q1 + q2 + q3 vs q4) presented with a worse metabolic profile characterized by a higher 2-hour glucose (P = 0.01), insulin (P = 0.0003), triglycerides (P = 0.0005), C-reactive protein (P < 0.0001) and low HDL-cholesterol (P = 0.02) as compared to those with lower risk score for PCOS.

CONCLUSIONS

We propose a simple four-variable model, which captures the underlying clinical and hormonal abnormalities in PCOS and can be used for diagnosis and metabolic risk stratification in women with PCOS.

C-peptide as a key risk factor for non-alcoholic fatty liver disease in the United States population

AIM

To determine whether fasting C-peptide is an independent predictor for non-alcoholic fatty liver disease (NAFLD) in United States population.

METHODS

Using the National Health and Nutrition Examination Survey (NHANES) 1988-1994, NAFLD participants aged 20 or greater without any other liver diseases were included in this study. Excessive alcohol intake is defined as > 2 drinks per day for males and > 1 drink per day for females. C-peptide and 27 other factors known to be associated with NAFLD (e.g., age, gender, body mass index, waist circumference, race/ethnicity, liver chemistries, and other diabetes tests) were tested in both univariate and multivariate level using logistic regression with a P-value 0.05.

RESULTS

Of 18825 participants aged ≥ 20, 3235 participants (n = 3235) met inclusion criteria. There were 23 factors associated with NAFLD by univariate analysis. 9 factors, ranked by the highest change in pseudo R², were found to be significant predictors of NAFLD in multivariate model: waist circumference, fasting C-peptide, natural log of alanine aminotransferase (ALT), total protein, being Mexican American, natural log of glycated hemoglobin, triglyceride level, being non-Hispanic white, and ferritin level.

CONCLUSION

Together with waist circumference and ALT, fasting C-peptide is among three most important predictors of NAFLD in United States population in the NHANES data set. Further study is needed to validate the clinical utility of fasting C-peptide in diagnosis or monitoring insulin resistance in NAFLD patients.