scholarly journals Endotrophin as a novel marker in PCOS and its relation with other adipokines and metabolic parameters: a pilot study

2021 ◽  
Vol 12 ◽  
pp. 204201882110496
Author(s):  
Gurhan Guney ◽  
Mine Islimye Taskin ◽  
Ozgur Baykan ◽  
Ertan Adali ◽  
Selin Gul Tezcan ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Density Lipoprotein ◽  
Resistance Index ◽  
Total Testosterone ◽  
Model Assessment ◽  
Homeostasis Model Assessment ◽  
Ovary Syndrome ◽  
Significant Difference

Background: Polycystic ovary syndrome is known to be the most common hormonal disorder in women of reproductive age. Current evidence shows that regulatory proteins secreted from the adipose tissue called adipokines may have a role in polycystic ovary syndrome. We planned to investigate the role of endotrophin that has never been researched in polycystic ovary syndrome before and its correlation with other metabolic parameters and adipokines such as adiponectin and ghrelin in patients with polycystic ovary syndrome. Methods: Forty-three women ( n: 43) with polycystic ovary syndrome and 43 ( n: 43) women as a control group were enrolled in this cross-sectional study. Serum levels of endotrophin, adiponectin, and ghrelin levels were measured with the enzyme-linked immunosorbent assay method. High-density lipoprotein cholesterol, low-density lipoprotein cholesterol, total cholesterol levels, luteinizing hormone/follicle-stimulating hormone ratio, total testosterone, and triglyceride levels were measured. Homeostasis model assessment for insulin resistance index, body mass index, Ferriman Gallwey Score, and waist-to-hip ratio were also evaluated. Results: Total testosterone, homeostasis model assessment for insulin resistance, C-reactive protein, luteinizing hormone/follicle-stimulating hormone ratio, and triglyceride levels were higher in patients with polycystic ovary syndrome ( p < 0.01). No difference was detected between the groups in terms of body mass index, Ferriman Gallwey Score, waist-to-hip ratio, total cholesterol, low-density lipoprotein, and high-density lipoprotein levels ( p > 0.05). We did not observe any significant difference in adiponectin and ghrelin levels between the groups ( p > 0.05). Patients with polycystic ovary syndrome had significantly higher endotrophin levels ( p < 0.01). According to our regression analyses [area under the curve: 0.973 (0.935–1.000), 95% confidence interval, 95.2% sensitivity, and 100% specificity], it was shown that endotrophin greater than 92 ng/ml and homeostasis model assessment for insulin resistance greater than 2.5 might be good predictors for polycystic ovary syndrome diagnosis. Conclusion: We demonstrated that endotrophin level is higher in patients with polycystic ovary syndrome and may have predicted polycystic ovary syndrome with increased homeostasis model assessment for insulin resistance index. There was no significant difference in adiponectin and ghrelin levels in the polycystic ovary syndrome group. Endotrophin may have a role in polycystic ovary syndrome etiology rather than other adipokines.

scholarly journals Association of oral contraceptive and metformin did not improve insulin resistance in women with polycystic ovary syndrome

2015 ◽  
Vol 61 (3) ◽  
pp. 215-219 ◽  
Author(s):  
Margareth Chiharu Iwata ◽  
Livia Porquere ◽  
Isabel C. Espósito Sorpreso ◽  
Edmund C. Baracat ◽  
José Maria Soares Júnior
Keyword(s):  
Insulin Resistance ◽  
Oral Contraceptive ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Total Testosterone ◽  
Model Assessment ◽  
Cycle Index ◽  
Androgen Excess ◽  
Ovary Syndrome ◽  
Improve Insulin Resistance

Summary Objective: Objective: to compare clinical and laboratory parameters in women with polycystic ovary syndrome (PCOS) using metformin or combined oral contraceptive (COC) after 6 months. Methods: retrospective study analyzing records of patients with PCOS using the Androgen Excess and Polycystic Ovary Syndrome (AE-PCOS) Society criteria. The groups were: I-COC (21 tablets, pause of 7 days; n=16); II-metformin (850mg 12/12h, n=16); III-COC plus metformin (n=9). Body mass index (BMI), acne (% of improvement), modified Ferriman-Gallway index and menstrual cycle index (MCI), luteinizing hormone (LH), follicle-stimulating hormone (FSH), total testosterone (TT), androstenedione (A) and homeostasis model assessment: insulin resistance (HOMA-IR) index were assessed Results: isolated use of COC compared to metformin was better regarding to acne, Ferriman index, MCI, LH, TT and A levels. On the other hand, metformin was better in the HOMA-IR index (4.44 and 1.67 respectively, p=0.0007). The association COC plus metformin, compared to metformin alone shows the maintenance of improvement of acne, Ferriman index, MCI, and testosterone levels. The HOMA-IR index remained lower in the metformin alone group (4.19 and 1.67, respectively; p=0,046). The comparison between COC plus metformin and COC alone, in turn, shows no difference in the improvement of acne, Ferriman index, MCI, LH, TT and A levels, indicating that the inclusion of metformin did not lead to additional benefits in these parameters. Still, the HOMA-IR index was similar in both groups (4.19 and 4.44 respectively; p=0.75), showing that the use of metformin associated with COC may not improve insulin resistance as much as it does if used alone. Conclusion: our data suggest that the combination of metformin and contraceptive does not improve insulin resistance as observed with metformin alone.

scholarly journals Anti-Müllerian Hormone Accelerates Pathological Process of Insulin Resistance in Polycystic Ovary Syndrome Patients

2021 ◽  
Vol 53 (08) ◽  
pp. 504-511
Author(s):  
Xiang-Juan Li ◽  
Hui Wang ◽  
Dan-Yang Lu ◽  
Tian-Tian Yu ◽  
Kamran Ullah ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Fasting Blood Glucose ◽  
Density Lipoprotein ◽  
Pathological Process ◽  
Model Assessment ◽  
High Concentration ◽  
Ovary Syndrome

AbstractInsulin resistance (IR) is one of the most common features of polycystic ovary syndrome (PCOS), which is related to obesity. Whether increased anti-Müllerian hormone (AMH) levels in PCOS are involved in the pathogenesis of insulin resistance remains unclear. We investigated serum levels of leptin and AMH along with basic clinical and metabolic parameters in 114 PCOS patients and 181 non-PCOS women. PCOS patients presented higher fasting blood glucose, insulin concentrations and Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) in addition to body mass index (BMI), lipids profiles and hormone levels. HOMA-IR showed a positive correlation with BMI, AMH, leptin, and low-density lipoprotein-cholesterol (LDL-c) levels. Interestingly, AMH is strongly positively correlated with HOMA-IR and insulin concentrations for 1st and 2nd hours of glucose treatment after fasting. Among PCOS women with BMI≥25 kg/m2, high AMH level group showed an increased HOMA-IR when compared to normal AMH level. However, among PCOS women with normal BMI, women with high AMH presented an elevated fasting insulin levels but not HOMA-IR when compared to normal AMH group. In vitro treatment of isolated islet cells with high concentration of leptin (200 ng/ml) or high leptin plus high concentration of AMH (1 ng/ml) significantly enhanced insulin secretion. Importantly, co-treatment of AMH plus leptin upregulates the expression of pro-apoptotic proteins, such as Bax, caspase-3, and caspase-8 after incubating with a high level of glucose. These results suggest that AMH may involve in the pathological process of pancreatic β-cells in obese PCOS women.

scholarly journals STUDY OF GLYCATED HEMOGLOBIN LEVELS IN POLYCYSTIC OVARY SYNDROME

2018 ◽  
Vol 11 (5) ◽  
pp. 191 ◽  
Author(s):  
Renuka Pangaluri ◽  
Shakthiya T ◽  
Vinodhini Vm
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Glycated Hemoglobin ◽  
Polycystic Ovary ◽  
Resistance Index ◽  
Tolerance Test ◽  
Oral Glucose ◽  
Model Assessment ◽  
Ovary Syndrome ◽  
Hba1c Levels

 Objective: Polycystic ovarian syndrome (PCOS) is often accompanied by insulin resistance, obesity, and cardiometabolic risk factors. Androgen excess-PCOS recommends oral glucose tolerance test or glycated hemoglobin (HbA1C) to evaluate dysglycemia in PCOS subjects. We undertook this study to evaluate the prevalence of elevated HbA1C levels in PCOS women.Methods: The study was carried out among 100 PCOS patients from SRM Hospital, 100 healthy individuals were included as controls. Fasting glucose, HbA1C, Insulin and Homeostasis Model Assessment-Insulin Resistance Index were estimated.Results: Patients with polycystic ovary syndrome showed a significant increase in HbA1C levels (5.799±1.022; 4.96±0.625, p=0.001) when compared to the control group.Conclusion: We found elevated HbA1C levels in PCOS women categorizing 26% as prediabetes and 28% as having type 2 diabetes mellitus.

scholarly journals Lipid ratios and obesity indices are effective predictors of metabolic syndrome in women with polycystic ovary syndrome

2022 ◽  
Vol 13 ◽  
pp. 204201882110666
Author(s):  
Małgorzata Kałużna ◽  
Magdalena Czlapka-Matyasik ◽  
Pola Kompf ◽  
Jerzy Moczko ◽  
Katarzyna Wachowiak-Ochmańska ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Resistance Index ◽  
Screening Tools ◽  
Visceral Adiposity Index ◽  
Model Assessment ◽  
Ovary Syndrome ◽  
Lipid Ratios

Background: Insulin resistance (IR) is common in women with polycystic ovary syndrome (PCOS). Metabolic syndrome (MS) involves IR, arterial hypertension, dyslipidemia, and visceral fat accumulation. Therefore, fatness indices and blood lipid ratios can be considered as screening markers for MS. Our study aimed to evaluate the predictive potential of selected indirect metabolic risk parameters to identify MS in PCOS. Methods: This cross-sectional study involved 596 women aged 18–40 years, including 404 PCOS patients diagnosed according to the Rotterdam criteria and 192 eumenorrheic controls (CON). Anthropometric and blood pressure measurements were taken, and blood samples were collected to assess glucose metabolism, lipid parameters, and selected hormone levels. Body mass index (BMI), waist-to-height ratio (WHtR), homeostasis model assessment for insulin resistance index (HOMA-IR), visceral adiposity index (VAI), lipid accumulation product (LAP), non-high-density lipoprotein cholesterol (non-HDL-C), and triglycerides-to-HDL cholesterol ratio (TG/HDL-C) were calculated. MS was assessed using the International Diabetes Federation (IDF) and the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) criteria. Results: MS prevalence was significantly higher in PCOS versus CON. Patients with both MS and PCOS had more unfavorable anthropometric, hormonal, and metabolic profiles versus those with neither MS nor PCOS and versus CON with MS. LAP, TG/HDL-C, VAI, and WHtR were the best markers and strongest indicators of MS in PCOS, and their cut-off values could be useful for early MS detection. MS risk in PCOS increased with elevated levels of these markers and was the highest when TG/HDL-C was used. Conclusions: LAP, TG/HDL-C, VAI, and WHtR are representative markers for MS assessment in PCOS. Their predictive power makes them excellent screening tools for internists and enables acquiring accurate diagnoses using fewer MS markers.

scholarly journals Association between Insulin Resistance and Cardiovascular Risk Factors in Polycystic Ovary Syndrome Patients

2018 ◽  
Vol 40 (04) ◽  
pp. 188-195 ◽  
Author(s):  
Miriam Wanderley ◽  
Lara Pereira ◽  
Carla Santos ◽  
Vinícius Cunha ◽  
Mariam Neves
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Normal Body Mass Index ◽  
Fisher Exact Test ◽  
Model Assessment ◽  
Obese Women ◽  
Ovary Syndrome ◽  
Indirect Methods ◽  
Significant Difference

Objective To analyze the association between the indirect methods of evaluating insulin resistance (IR) and blood pressure, anthropometric and biochemical parameters in a population of polycystic ovary syndrome (PCOS) patients. Methods Cross-sectional study performed at the Hospital Universitário de Brasília (HUB, in the Portuguese acronym) involving PCOS patients diagnosed from January 2011 to January 2013. Four indirect methods, namely, fasting blood insulin level, fasting glucose/insulin ratio (G/I), homeostatic model-assessment-insulin resistance (HOMA-IR), and the quantitative insulin sensitivity check index (QUICKI), were used to obtain the IR diagnosis. The data were analyzed using the test of proportions, the Chi-square test, and Fisher exact test, when indicated. Results Out of the 83 patients assessed, aged 28.79 ± 5.85, IR was found in 51.81–66.2% of them using the G/I ratio and the QUICKI, respectively. The test of proportions did not show a significant difference between the methods analyzed. The proportion of IR diagnoses was statistically higher in obese women than in women with normal body mass index (BMI). We observed a statistically significant association between all the methods for diagnosing IR and BMI, waist circumference (WC) and lipid accumulation product (LAP). With regards to arterial hypertension (AH), we observed a significant association according to three methods, with the exception of the ratio G/I. Conclusion Insulin resistance prevalence varied according to the diagnostic method employed, with no statistical difference between them. The proportion of IR diagnoses was statistically higher in obese women than in women with normal BMI. We observed a significant association between IR and WC, BMI, LAP, as well as dyslipidemia and AH in a high proportion of patients.

scholarly journals Serum Asprosin Level in Different Subtypes of Polycystic Ovary Syndrome: A Cross-sectional Study

2020 ◽  
Author(s):  
yonghui jiang ◽  
yue liu ◽  
zhiheng yu ◽  
ping yang ◽  
lei xie ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Laboratory Data ◽  
Control Group ◽  
Model Assessment ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Significant Difference ◽  
Pcos Group

Abstract Objective Polycystic ovary syndrome (PCOS) can be divided into different subtypes, including insulin resistance (IR) and hyperandrogenism (HA). Asprosin is a novel hormone associated with IR; however, the role of asprosin in women with PCOS has not been investigated. Thus, the aim of this study was to investigate the relationship between serum asprosin levels and PCOS subtypes. Methods Ninety-three women with PCOS and 77 healthy women as controls were selected for this study. Clinical and laboratory data were compared between the PCOS group and the control group. The PCOS group was further divided into subgroups: 1) women with or without HA (PCOS HA and PCOS NHA, respectively); 2) women with or without IR (PCOS IR and PCOS NIR, respectively). Serum asprosin was measured by ELISA. Results Serum asprosin levels showed no significant difference between the PCOS and control groups. However, it was significantly lower in the PCOS HA and IR groups compared to the respective PCOS NHA and NIR groups (P < .05). In the PCOS group, serum asprosin was negatively correlated with body mass index, luteinizing hormone, testosterone, basal antral follicles, fasting insulin, Homeostatic Model Assessment of Insulin Resistance, and triglycerides. After adjusting for BMI, the correlations were not significant and asprosin was only positively correlated with prolactin (r = 0.426, P < .001). Conclusions Our study shows that women with PCOS HA or IR exhibit significantly lower serum asprosin levels compared to controls, and the lower asprosin level directly correlated with PRL level.

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