Serum fructose concentrations are positively correlated with dyslipidaemia in women with polycystic ovary syndrome.

RESEARCH QUESTION: Is there an association between fructose and dislipidaemia in polycystic ovary syndrome (PCOS)? DESIGN: Serum fructose levels were measured in 250 women with PCOS (113 with dislipidaemia, 137 with normolipidaemia) and 460 controls (70 with dislipidaemia, 390 with normolipidaemia). Logistic regression was used to model the relationship between serum fructose levels and dyslipidaemia. Receiver operating characteristic curve analysis was used to assess the ability of serum fructose levels to predict dislipidaemia in women with PCOS, and PCOS in women with dislipidaemia. RESULTS: Patients with PCOS and dislipidaemia had higher serum fructose levels. Triglycerides, total cholesterol and low-density lipoprotein cholesterol increased with increasing serum fructose quartiles in patients with PCOS, whereas high-density lipoprotein cholesterol decreased (all P < 0.001). Among the lipid metabolism-related indicators, triglycerides were most associated with fructose (R = 0.626, P < 0.001). Serum fructose at a cut-off value of 9.79 pmol/µl had a sensitivity of 83.2% and specificity of 66.4% for predicting dislipidaemia in women with PCOS. Lower serum fructose levels were strongly associated with a decreased risk of dislipidaemia in women with PCOS (P < 0.001; OR 0.067; 95% CI 0.027 to 0.170). Moreover, high fructose levels are predictive of PCOS in women with dislipidaemia, with a better diagnostic performance than the androgens typically used as markers. CONCLUSION: Serum fructose levels are significantly correlated with dislipidaemia in women with PCOS, highlighting the importance of investigating the role of fructose in lipid metabolism of PCOS.

Association of galactose and insulin resistance in polycystic ovary syndrome: A case-control study.

Background: Polycystic ovary syndrome (PCOS) is closely linked to metabolic disorders. Recent reports have identified galactose as having strong associations with metabolic disorders, however, the correlation between galactose and PCOS remains largely unknown. Methods: The serum galactose levels of 104 patients with PCOS and 98 controls were measured, and their relationships with several metabolic parameters were analyzed. The study took place at the Center for Reproductive Medicine at Shengjing Hospital of China Medical University, Shenyang, China from July 13 to Oct 20, 2020. The relationships between serum galactose and PCOS as well as PCOS-related insulin resistance were investigated via logistic regression analyses, and the performance of serum galactose as a potential biomarker for PCOS was evaluated using receiver operating characteristic curve analysis. Findings: Higher serum galactose levels were observed in the patients with PCOS than in the controls (p = 0.001). There was still a correlation between circulating galactose levels and PCOS after adjusting for covariates (p = 0.002; odds ratio (OR), 1.133; 95% confidence interval (CI) 1.047-1.227). Serum galactose levels were shown to be most closely related to the fasting serum insulin level (r = 0.370, p = 0.001) and were higher in the insulin-resistant subgroup than in the non-insulin-resistant subgroup of patients with PCOS (p = 0.001). There was no difference in serum galactose levels between the insulin-resistant and non-insulin-resistant subgroups of women in the control group (p > 0.05). Furthermore, higher serum galactose levels were shown to be associated with insulin resistance in PCOS (p = 0.004; OR, 26.017; 95% CI, 2.907-232.810). The area under the curve for galactose-mediated prediction of PCOS was 80.0%, with a sensitivity of 71.0% and a specificity of 86.4%. Interpretation: Higher circulating galactose levels correlate with PCOS and PCOS-related insulin resistance; therefore, it may serve as a potential biomarker for patients with PCOS. These findings require further validation in a study with a larger sample size. Funding: National Natural Science Foundation of China (No. 82,071,607 and 32,100,691); LiaoNing Revitalization Talents Program (No. XLYC1907071); Fok Ying Tung Education Foundation (No. 151,039); Key Research and Development Program of Liaoning Province (NO. 2,018,225,062); Outstanding Scientific Fund of Shengjing Hospital (No. 202,003).

Elevated Serum Leptin Levels as a Predictive Marker for Polycystic Ovary Syndrome.

Background: Leptin may have important implications in polycystic ovary syndrome (PCOS)-related metabolic disorders. However, the changes in serum leptin levels in patients with PCOS and its predictive value for PCOS remain obscure. We intend to analyze the association between leptin and PCOS in this study. Materials and Methods: The study comprised 89 patients with PCOS and 139 individuals without PCOS. Each group was stratified as either normal- or hyper-fasting serum insulin (FSI), and lean or overweight/obese; and the patients were further categorized as normal- or hyper-androgenic. The validity of leptin toward the diagnosis of PCOS, or leptin combined with total testosterone, dehydroepiandrosterone sulfate (DHEAS), and free testosterone was estimated by receiver operating characteristic (ROC) curves, and correlations between paired variables was estimated by Spearman's rank correlation coefficient. Associations between the clinical and metabolic variables and PCOS were analyzed via logistic regression. Results: The serum leptin levels of patients with PCOS were significantly higher than that of the control, and especially the PCOS in hyper-FSI, hyperandrogenimic and overweight/obese subgroups. The area under the ROC curve (AUC) of leptin was 74%, with cutoff value, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) 11.58 ng/mL, 77.5%, 62.6%, 57.0%, and 81.3%, respectively. Combined leptin and anti-Müllerian hormone (AMH) had the highest AUC (92.3%), excellent sensitivity (93.3%), moderate specificity (78.3%), PPV (73.5%) and NPV (94.8%). Serum leptin levels of the patients were correlated with the FSI, fasting plasma glucose (FPG), homeostasis model assessment of insulin resistance (HOMA-IR), body mass index (BMI), and total testosterone levels. Elevated serum leptin was associated with a high risk of PCOS [P = 0.015; OR (95% CI) 1.128 (1.024-1.244)]. Conclusion: Substantially elevated serum leptin is significantly associated with PCOS. These findings warrant further investigations into the function of leptin in the pathogenesis of PCOS.

Serum Anti-Müllerian Hormone Levels Were Negatively Associated With Body Fat Percentage in PCOS Patients.

Background: Obesity is a state of excess body fat accumulation, and appears to be closely associated with polycystic ovary syndrome (PCOS). Notably, plausible biological pathways through which obesity can regulate anti-Müllerian hormone (AMH) production have been proposed, and women with PCOS characteristically have an increased AMH level. Body fat accumulation can be described by body fat percentage (BFP). However, the relationship between BFP and AMH still remains unclear. Materials and Methods: A total of 87 controls and 156 PCOS patients were divided into lean and overweight/obese groups, and the PCOS patients were further divided into hyper-AMH and normal-AMH subgroups. Univariate regression was used to assess the unadjusted relationship between AMH and outcome variables, multivariable regression analysis was performed to test whether and how serum AMH levels were associated with BFP after adjusting for other co-variables. Receiver-operating characteristic (ROC) curve analyses were used to test the utility of BFP for the diagnosis of PCOS. Results: BFP was higher in PCOS patients compared with controls, regardless of obesity. Serum AMH levels were negatively associated with BFP in the PCOS group (r = -0.371; P < 0.001) but not in the control group (r = -0.095; P = 0.385). Multivariable logistic regression analysis showed that elevated BFP was associated with a high risk of PCOS (odds ratio, 1.290; 95% confidence interval, 1.084-1.534, P = 0.004). Furthermore, the combination of BFP and serum AMH into a multivariate model gave an improved area under the curve (AUC) of 88.5%, with a sensitivity of 72.4% and specificity of 87.4%; the positive and negative predictive values were 91.2% and 63.9%, respectively. One limitation of this study is all the conclusion reported was based on small sample size. Conclusions: Herein, we described the negative correlation between BFP and serum AMH levels for the first time, and the present results highlight the importance of further investigation into the role of BFP, especially in body fat-related AMH change as it relates to the underlying pathogenesis of PCOS.