Effects of an EE/CA compared with EE/CA-metformin on serum ADMA levels in women with polycystic ovary syndrome

Open Medicine ◽  
2009 ◽  
Vol 4 (4) ◽  
pp. 423-427 ◽  
Author(s):  
Levent Kebapcilar ◽  
Arif Yuksel ◽  
Giray Bozkaya ◽  
Cuneyt Taner ◽  
Ayse Kebapcilar ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Hdl Cholesterol ◽  
Model Assessment ◽  
Ovary Syndrome ◽  
Treatment Groups ◽  
Cholesterol Levels ◽  
Metformin Group ◽  
Homeostatic Model Assessment ◽  
Pre Treatment

AbstractTo determine the effects of EE/CA (Ethinylestradiol/ Cyproterone Acetate) and EE/CA-metformin treatments on the asymmetric dimethylarginine (ADMA) levels in women with PCOS (Polycystic Ovary Syndrome). Among 43 patients diagnosed with PCOS, one study arm (n=22) was administered (35 µg EE, 2mg CA) and the other (n=21) was administered (35 µg EE, 2mg CA plus 1700mg metformin). Serum ADMA, lipid profile, androgens, insulin, and HOMA-IR (Homeostatic Model Assessment of Insulin Resistance ) values were assessed prior to treatment and after 3 months of therapy. A significant reduction in ADMA levels relative to pre-treatment in the EE/CA+metformin group (1.2±0.4 vs 0.95±0.4, p=0.016) compared to the EE/CA group (1.0±0.5 vs 1.03±0.4, p >0.05). Andogens, insulin and HOMA-IR levels decreased in both treatment groups. All lipid profiles significantly improved in-group EE/CA+metformin while no significant decrease was observed in TG and HDL-cholesterol levels in EE/CA group. Post-treatment levels of HDL-C levels correlated significantly with the reducing ADMA levels in the EE/CA+metformin group (P=0.005, r= 0.602). Adding metformin to EE/CA therapy in PCOS may beneficial endothelium effects associated with reduction of ADMA levels.

scholarly journals Evaluation of Lipid Ratios and Triglyceride-Glucose (TyG) Index as Risk Markers of Insulin Resistance in Iranian Polycystic Ovary Syndrome (PCOS) Woman

2020 ◽  
Author(s):  
Asma Kheirollahi ◽  
Maryam Teimouri ◽  
Mehrdad Karimi ◽  
Nariman Moradi ◽  
Asie Sadeghi ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Hdl Cholesterol ◽  
Insulin Level ◽  
P Value ◽  
Model Assessment ◽  
Ovary Syndrome ◽  
Pcos Woman ◽  
Lipid Ratios

Abstract Background: Insulin resistance has a key role in the pathophysiology of polycystic ovary syndrome (PCOS). Previous investigations have informed that some lipid ratios could be a simple clinical indicator of insulin resistance (IR) in some disorders and ethnicities. We aimed to examine the correlation between triglyceride to HDL-cholesterol (TG/HDL-C), total cholesterol to HDL-cholesterol (TC/HDL-C) and fasting triglyceride-glucose (TyG) indices with IR (as measured by homeostasis model assessment of IR [HOMA-IR], quantitative insulin sensitivity check index [QUICKI] and fasting glucose to insulin ratio [FGIR]), and determine a good clinical predictor for IR in Iranian PCOS woman. Methods: We evaluated 305 PCOS women. After physical evaluations, biochemical parameters were measured using commercial kits and TG/HDL-C, TC/HDL-C and TyG indices were calculated using formula. Fasting insulin level measured using ELISA technique. IR was defined as a HOMA-IR value ≥2.63, FG-IR<8.25 and QUICKI <0.33. Results: The insulin-resistance and insulin-sensitive groups, which established by HOMA-IR, FG-IR and QUICKI values, were different in terms of TG/HDL-C, TC/HDL-C and TyG indices. These indices were associated with IR after adjusting for age and BMI. The under ROC curves (AUC) of TyG, TG/HDL-C and TC/HDL-C for predicting HOMA-IR index were 0.639, 0.619 and 0.623 respectively which were significant, with a p-value 0.012, 0.033 and 0.027, respectively. The AUC of TC/HDL-C (0.614) was significant (p-value 0.04) for predicting FG-IR.Conclusion: Our findings demonstrated that the elevated TyG, TG/HDL-C and TC/HDL-C were significantly associated with IR and could be utilized as indicators of IR among PCOS women in Iran.

scholarly journals Evaluation of lipid ratios and triglyceride-glucose index as risk markers of insulin resistance in Iranian polycystic ovary syndrome women

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Asma Kheirollahi ◽  
Maryam Teimouri ◽  
Mehrdad Karimi ◽  
Akram Vatannejad ◽  
Nariman Moradi ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Area Under The Curve ◽  
Hdl Cholesterol ◽  
Insulin Level ◽  
Model Assessment ◽  
Iranian Women ◽  
Ovary Syndrome ◽  
Lipid Ratios

Abstract Background Insulin resistance has a vital role in the pathophysiology of polycystic ovary syndrome (PCOS). Previous investigations have shown that some lipid ratios could be a simple clinical indicator of insulin resistance (IR) in some disorders and ethnicities. The present study was conducted to evaluate the correlation between triglyceride to HDL-cholesterol (TG/HDL-C), total cholesterol to HDL-cholesterol (TC/HDL-C), as well as fasting triglyceride-glucose (TyG) indices with IR (as measured by homeostasis model assessment of IR (HOMA-IR), quantitative insulin sensitivity check index (QUICKI) and fasting glucose to insulin ratio (FGIR)) among the Iranian women diagnosed with PCOS. Methods In the current study, a total of 305 women with PCOS were evaluated. TG/HDL-C, TC/HDL-C, and TyG indices were calculated. Fasting insulin level was measured using ELISA technique. IR was defined as a HOMA-IR value of ≥2.63, FG-IR value of < 8.25, and QUICKI value of < 0.33. Results The insulin-resistant (IR) and insulin-sensitive (IS) groups, established by the HOMA-IR, FG-IR, and QUICKI values were different in terms of TG/HDL-C, TC/HDL-C, and TyG indices. These indices were associated with IR even after adjusting for age and BMI. ROC curve analyses showed that TyG, TG/HDL-C, and TC/HDL-C strongly predicted HOMA-IR with area under the curve (AUC) of 0.639, 0.619, and 0.623, respectively (P < 0.05). Further, TC/HDL-C was a good predictor of FG-IR with AUC of 0.614 (P = 0.04). Conclusion TyG, TG/HDL-C, and TC/HDL-C indices might be good indicators of IR among Iranian women diagnosed with PCOS.

scholarly journals Evaluation of different biochemical markers in prediction of metabolic syndrome in polycystic ovary syndrome patients

2017 ◽  
Vol 6 (7) ◽  
pp. 2734
Author(s):  
Ahmed M. Radwan ◽  
Mohamed A. Youssry ◽  
Hossam M. El-saadany ◽  
Tabark Ahmed Patel
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Polycystic Ovary Syndrome ◽  
Biochemical Markers ◽  
Polycystic Ovary ◽  
Model Assessment ◽  
Biochemical Tests ◽  
Ovary Syndrome ◽  
Tissue Factors ◽  
Homeostatic Model Assessment

Background: Polycystic ovary syndrome (PCOS) is the commonest cause of chronic hyperandrogenic anovulation. Insulin resistance and compensatory hyperinsulinemia are keys of the pathogenesis of PCOS. It is also considered as a metabolic disorder. Since the components of metabolic syndrome (MBS) namely obesity, glucose intolerance, dyslipidemia, and hypertension are the common features of this syndrome. The association between MBS and PCOS can be explained by different theories as insulin resistance, obesity, and related adipose tissue factors (adipocytokines) independent of insulin resistance are the main pathogenic contributors to both disorders.Methods: A total of 143 women with PCOS were recruited as study subjects. All participants were subjected to anthropometric measurements, clinical assessment, and biochemical tests [fasting glucose, fasting insulin, and homeostatic model assessment-insulin resistance (HOMA-IR)]. Hormonal profile particularly leptin and homocysteine levels were also evaluated.Results: 25 patients (17.4%) out of 143 women with PCOS met the criteria for MBS. Patients with MBS had significantly higher body mass index, blood pressure, HOMA-IR, leptin, and homocysteine levels compared to PCOS only patients. When HOMA-IR cut off was ≥4.3 sensitivity and specificity were 90%, 88.6%, but when leptin level was ≥34.5 the corresponding statistics were 79.6%, 75.5%.Conclusions: Serum leptin, homocysteine, HOMA-IR as well as other biochemical markers are significantly higher in women with PCOS and MBS compared to PCOS only women. PCOS is associated with various factors like insulin resistance, obesity, and dyslipidemia. Consequently, adipocytokines and HOMA-IR play important role in the prediction of MBS in patients with PCOS.

scholarly journals Metformin improves polycystic ovary syndrome symptoms irrespective of pre-treatment insulin resistance

2007 ◽  
Vol 157 (5) ◽  
pp. 669-676 ◽  
Author(s):  
Susanne Tan ◽  
Susanne Hahn ◽  
Sven Benson ◽  
Tiina Dietz ◽  
Harald Lahner ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Fasting Glucose ◽  
Polycystic Ovary ◽  
Model Assessment ◽  
Fasting Insulin ◽  
Ovary Syndrome ◽  
Insulin Levels ◽  
Outcome Parameters ◽  
Pre Treatment

AbstractObjectiveInsulin resistance (IR) and obesity are common features of the polycystic ovary syndrome (PCOS). Insulin-sensitizing agents have been shown to improve both reproductive and metabolic aspects of PCOS, but it remains unclear whether it is also beneficial in lean patients without pre-treatment IR. The aim of this study was to determine the influence of metformin on the clinical and biochemical parameters of PCOS irrespective of the presence of basal obesity and IR.DesignThe effect of 6 months of metformin treatment was prospectively assessed in 188 PCOS patients, divided into three groups according to body mass index (BMI; lean: BMI<25 kg/m2, overweight: BMI 25–29 kg/m2, and obese: BMI≥30 kg/m2). Outcome parameters, which were also assessed in 102 healthy controls, included body weight, homeostasis model assessment for IR (HOMA-IR), fasting glucose and insulin levels, area under the curve of insulin response (AUCI), hyperandrogenism, and menstrual irregularities.ResultsIn comparison with the respective BMI-appropriate control groups, only obese but not lean and overweight PCOS patients showed differences in fasting insulin and HOMA-IR. Metformin therapy significantly improved all outcome parameters except fasting glucose levels. Subgroup analyses revealed that in the group of lean PCOS patients without pre-treatment IR, metformin significantly improved HOMA-IR (1.7±1.0 vs 1.1±0.7 μmol/l×mmol/l2) and fasting insulin levels (7.7±4.2 vs 5.4±3.9 mU/l), in addition to testosterone levels (2.6±0.9 vs 1.8±0.7 nmol/l), anovulation rate (2.3 vs 59.5%), and acne (31.8 vs 11.6%; all P<0.017). In the overweight and obese PCOS groups, metformin also showed the expected beneficial effects.ConclusionMetformin improves parameters of IR, hyperandrogenemia, anovulation, and acne in PCOS irrespective of pre-treatment IR or obesity.

scholarly journals Polycystic ovary syndrome: implications of metabolic dysfunction

2014 ◽  
Vol 41 (2) ◽  
pp. 106-110
Author(s):  
Márcio Augusto Pinto de Ávila ◽  
Ricardo Vasconcellos Bruno ◽  
Fábio Cuiabano Barbosa ◽  
Felipe Cupertino de Andrade ◽  
Adriana Cardoso de Oliveira e Silva ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
The State ◽  
Model Assessment ◽  
Metabolic Dysfunction ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Homeostatic Model Assessment ◽  
Routine Inspection

OBJECTIVE: To determine the prevalence of metabolic syndrome (MS) and its clinical interrelations in polycystic ovary syndrome (PCOS).METHODS: This was a cross-sectional, prospective study with 100 patients with diagnosed PCOS based on the consensus of Rotterdam (2003). We investigated the interrelationships of MS, with intrinsic PCOS data. Dermatological profile was analyzed, in addition to acanthosis nigricans (AN) in the presence of hirsutism and acne. The use of HOMA-IR (homeostatic model assessment of insulin resistance) aimed at the correlation with MS in order to establish the metabolic dysfunction with the state of insulin resistance.RESULTS: The mean and standard deviations corresponding figures for age, body mass index and waist circumference were, respectively, 25.72 (± 4.87), 30.63 (± 9.31) and 92.09 (± 18.73). The prevalence of MS was 36% and significantly correlated with BMI, AN, and in 51% of patients the state of insulin resistance (HOMA-IR). Regarding skin profile, only AN significant correlation with MS.CONCLUSION: We propose the routine inspection of metabolic components related to severe PCOS. These parameters configure the cardiovascular risk and such conduct is of undoubted importance to public health.

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

2006 ◽  
Vol 86 (2) ◽  
pp. 398-404 ◽  
Author(s):  
Anna Maria Fulghesu ◽  
Stefano Angioni ◽  
Elaine Portoghese ◽  
Francesca Milano ◽  
Barbara Batetta ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Young Patients ◽  
Model Assessment ◽  
Ovary Syndrome ◽  
Homeostatic Model Assessment ◽  
Homeostatic Model

scholarly journals Total cholesterol/HDL cholesterol ratio and monocyte/HDL cholesterol ratio are related with subclinical hypothyroidism in polycystic ovary syndrome

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Isil Cakir ◽  
Yasin Simsek
Keyword(s):  
Polycystic Ovary Syndrome ◽  
High Density Lipoprotein ◽  
Inflammatory Markers ◽  
Polycystic Ovary ◽  
Density Lipoprotein ◽  
Hdl Cholesterol ◽  
Ovary Syndrome ◽  
Cholesterol Ratio ◽  
Cholesterol Levels ◽  
Atherogenic Indices

Abstract Objectives There is an association between serum thyrotropin (TSH) and lipid profile. However, there is a little information regarding the relation between subclinical hypothyroidism (SCH), atherogenic indices and inflammation in polycystic ovary syndrome (PCOS). Herein, we aimed to evaluate the impact of SCH on lipids and inflammatory markers in newly diagnosed PCOS patients. Methods Two groups were performed for total 99 PCOS patients: SCH (TSH>2.5 mIU/L) and euthyroid groups (TSH<2.5 mIU/L). Complete blood count, lipids, atherogenic indices were evaluated, inflammatory markers as platelet/lymphocyte ratio (PLR), neutrophil/lymphocyte ratio (NLR), monocyte/high density lipoprotein ratio (MHR) and mean platelet volume/platelet ratio (MPR) were calculated. Results SCH group had higher WBC, PLT, PCT, PLR, MPR and non-high density lipoprotein cholesterol levels. Differences between MHR, total cholesterol/HDL cholesterol (TC/HDL), triglycerides/HDL cholesterol (TG/HDL) and low density lipoprotein/HDL cholesterol (LDL/HDL) levels were significantly higher (p=0.001; 0.01; 0.01; 0.02, respectively), TC/HDL cholesterol levels were positively correlated with TSH (p=0.028, r=0.402) in SCH group. TC/HDL levels were also correlated with WBC, PLT, PDW, PCT, MPR and MHR (p=0.003; 0.011; 0.031; 0.037; 0.006; 0.002; r=0.515; 0.442; −0.382; 0.370; −0.471; 0.523, repectively). Conclusions TC/HDL and MHR may serve as beneficial markers for evaluating the inflammatory state of PCOS with SCH. Screening thyroid hormones and curing SCH in PCOS may lower lipids, decelerate developing hypothyroidism and cardiovascular morbidities.

scholarly journals Predicting Menstrual Recovery After Laparoscopic Sleeve Gastrectomy in Polycystic Ovary Syndrome Women With Obesity

2021 ◽  
Author(s):  
Meili Cai ◽  
Yuqin Zhang ◽  
Jingyang Gao ◽  
Diliqingna Dilimulati ◽  
Ziwei Lin ◽  
...  
Keyword(s):  
Sleeve Gastrectomy ◽  
Polycystic Ovary Syndrome ◽  
Laparoscopic Sleeve Gastrectomy ◽  
Polycystic Ovary ◽  
Preoperative Evaluation ◽  
Total Testosterone ◽  
Model Assessment ◽  
Ovary Syndrome ◽  
Homeostatic Model Assessment

Abstract Objectives: To investigate the recovery of menses in polycystic ovary syndrome (PCOS) women with obesity after laparoscopic sleeve gastrectomy (LSG), and to explore the predictors for menstrual recovery. 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. Preoperative clinical characteristics, metabolic parameters and sex hormones were collected. Postoperative menstrual status, body weight and use of oral contraceptives were obtained through telephone follow-up. Results: Patients with PCOS were followed up for at least six months after surgery, and the mean follow-up time was 3.23 years. About 24.66% of patients with PCOS started their first menstruation after LSG within 7 days, and 79.52% patients had regular menstruation at six months after LSG. In logistic regression analyses, duration of PCOS ≤4.5 years (P=0.007), number of preoperative menstruation per year >4.0 times/year (P=0.045), homeostatic model assessment of insulin resistance (HOMA-IR) ≤7.3 (P=0.020) and total testosterone (TT) ≤1.5 nmol/L (P=0.029) at baseline were significantly associated with menstrual resumption in PCOS patients within 6 months after LSG. After adjusting confounders, combination of four clinical indices at baseline could effectively predict menstrual recovery in PCOS patients within 6 months after LSG (AUC=0.837, [95%CI: 0.735-0.939], P<0.001). Conclusion: Overall, the combination of PCOS duration, menstruations per year, HOMA-IR and TT at baseline could be used as an effective tool for the prediction of menstrual recovery in PCOS patients within 6 months after LSG, which can be applied in preoperative evaluation.

scholarly journals Effects of probiotic and synbiotic supplementation on insulin resistance in women with polycystic ovary syndrome: a meta-analysis

2021 ◽  
Vol 49 (7) ◽  
pp. 030006052110317
Author(s):  
Chenyun Miao ◽  
Qingge Guo ◽  
Xiaojie Fang ◽  
Yun Chen ◽  
Ying Zhao ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Confidence Interval ◽  
Polycystic Ovary ◽  
Serum Insulin ◽  
Meta Analysis ◽  
Mean Difference ◽  
Model Assessment ◽  
Ovary Syndrome ◽  
Synbiotic Supplementation

Objective This meta-analysis evaluated the effect of probiotics and synbiotics on insulin resistance in patients with polycystic ovary syndrome (PCOS). Methods A systematic search was performed to identify all relevant publications listed on the electronic databases (PubMed®, Web of Science, Embase® and China National Knowledge Infrastructure) between inception and 30 October 2020. All statistical analyses were performed on randomized controlled trials (RCTs) using RevMan version 5.3 software provided by the Cochrane Collaboration. Results A total of 486 patients from seven RCTs were included in the meta-analysis. Probiotic and synbiotic supplementation appeared to improve levels of homeostatic model assessment of insulin resistance (mean difference = –0.37; 95% confidence interval –0.69, –0.05) and serum insulin (standardized mean difference = –0.66; 95% confidence interval –1.19, –0.12). The results failed to show any influence of probiotic and synbiotic supplementation on body mass index, waist circumference, hip circumference and fasting blood sugar. Conclusions Probiotics and synbiotics appear to have a partially beneficial effect on indices of insulin resistance in patients with PCOS.

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