The efficiency of metformin in polycystic ovarian syndrome is not necessarily attributable to the improvement of insulin resistance

2017 ◽  
Author(s):  
Zsuzsanna Szanto ◽  
Adelina Micheu
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovarian Syndrome ◽  
Ovarian Syndrome

Polycystic ovarian syndrome: Correlation between hyperandrogenism, insulin resistance and obesity

2020 ◽  
Vol 502 ◽  
pp. 214-221 ◽  
Author(s):  
Xin Zeng ◽  
Yuan-jie Xie ◽  
Ya-ting Liu ◽  
Shuang-lian Long ◽  
Zhong-cheng Mo
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovarian Syndrome ◽  
Ovarian Syndrome

scholarly journals Role of insulin sensitising agents in altering PSA level in PCOS

2017 ◽  
Vol 6 (11) ◽  
pp. 4986 ◽  
Author(s):  
Rajashree Panigrahy ◽  
Bratati Singh ◽  
Tapan K. Pattnaik ◽  
Sanjukta Misra
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovarian Syndrome ◽  
Specific Antigen ◽  
Serum Testosterone ◽  
Healthy Controls ◽  
Androgen Excess ◽  
Control Serum ◽  
Ovarian Syndrome ◽  
Significant Concentration

Background: Ovarian androgen production can be promoted by insulin resistance which leads to reproductive abnormalities in Polycystic Ovarian Syndrome (PCOS). A wide variety of female tissues can synthesize and secrete Prostate Specific Antigen (PSA). Androgens may take part a significant role in PSA secretion in PCOS. As insulin resistance stimulates androgen production, the baseline value of PSA may decline by insulin sensitising agents in PCOS. Present study is an attempt to measure the function of PSA as a marker of androgen excess in PCOS and to assess the role of insulin sensitising agent metformin in altering PSA level in PCOS.Methods: The study was undertaken to assess the insulin resistance, testosterone and PSA level in 45 women diagnosed as PCOS and 45 healthy controls. Alteration of insulin resistance, serum testosterone and PSA levels by metformin was also analysed.Results: A significant increase in testosterone, PSA level and insulin resistance was observed in PCOS cases when compared with control (p<0.001). When metformin was given for 4 months, improvement in insulin resistance and testosterone level was found in cases, but PSA values observed no change. Correlation was not found linking insulin resistance with PSA level prior to and after therapy.Conclusions: Serum PSA level could be detected in high significant concentration in PCOS women. Various researches explain that insulin resistance and BMI may perhaps control serum PSA level, but our result demonstrate no effect of insulin sensitising agent on serum PSA value.

scholarly journals Phenotypic Variation of Insulin Resistance among Polycystic Ovarian Syndrome Patients in Semiurban North Indian Population

2021 ◽  
Author(s):  
Chaitali Maitra ◽  
Ramesh Chandra Gupta ◽  
Rishika Raj
Keyword(s):  
Insulin Resistance ◽  
Regression Analysis ◽  
Polycystic Ovarian Syndrome ◽  
Specific Treatment ◽  
Reproductive Age ◽  
Model Assessment ◽  
Cross Sectional ◽  
Significant Difference ◽  
Ovarian Syndrome ◽  
Rotterdam Criteria

Introduction: Polycystic Ovarian Syndrome (PCOS) is a common endocrine disorder in the women of reproductive age. Studies show that there is an intensive relationship between insulin and gonadal function. As per Rotterdam Criteria, there are four major phenotypes of PCOS with different presentation. Early detection of Insulin Resistance (IR) and consequential prevention of Metabolic Syndrome (MS) associated with PCOS may lead to better prospect for the disease. Aim: To find the pattern of IR in all the phenotypes of PCOS in relation to Waist Hip Ratio (WHR), Body Mass Index (BMI) and Testosterone and thereby, providing data for designing phenotype specific treatment of the disease. Materials and Methods: In this cross-sectional observational study, fasting insulin and fasting glucose were analysed to calculate Homeostasis Model Assessment (HOMA-IR) and Testosterone for total 144 female subjects of reproductive age group (18-40 years). Subjects were classified in to four groups as per Rotterdam Criteria. Complete PCOS (PCO-COM), PCO with Oligo/Anovulation (PCO-O), Anovulation with Hyperandrogenism (O-HA), and PCO with Hyperandrogenism (PCO-HA). Regression analysis was done to find the relation among the study variables. Analysis of Variance (ANOVA) was used to analyse the significant variance among the groups. Results: IR was found to be maximum among O-HA phenotype (2.4±0.37) and lowest among PCO-HA phenotypes (1.3±0.22). Regression analysis shows that there exist significant associations between IR and BMI (t=4.96, p=0.001) as well as between IR and WHR (t=2.97, p=0.003). No independent association between testosterone and IR was observed. Conclusion: Significant difference of IR, WHR, and BMI was observed among the four phenotypes of PCOS. Due to increased IR, O-HA and PCO-COM phenotypes are more predisposed to Cardiometabolic consequences of PCOS.

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