Serum insulin patterns and the relationship between insulin sensitivity and glycaemic profile in women with polycystic ovary syndrome

2009 ◽  
Vol 116 (13) ◽  
pp. 1722-1728 ◽  
Author(s):  
HR Seneviratne ◽  
D Lankeshwara ◽  
S Wijeratne ◽  
N Somasunderam ◽  
D Athukorale
Keyword(s):  
Insulin Sensitivity ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Serum Insulin ◽  
Ovary Syndrome ◽  
The Relationship

scholarly journals Effect on Insulin-Stimulated Release of D-Chiro-Inositol-Containing Inositolphosphoglycan Mediator during Weight Loss in Obese Women with and without Polycystic Ovary Syndrome

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Kai I. Cheang ◽  
Sakita N. Sistrun ◽  
Kelley S. Morel ◽  
John E. Nestler
Keyword(s):  
Insulin Resistance ◽  
Weight Loss ◽  
Insulin Sensitivity ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Obese Women ◽  
Ovary Syndrome ◽  
Matsuda Index ◽  
Normal Women ◽  
The Relationship

Background.A deficiency of D-chiro-inositol-inositolphosphoglycan mediator (DCI-IPG) may contribute to insulin resistance in polycystic ovary syndrome (PCOS). Whether the relationship between impaired DCI-IPG release and insulin resistance is specific to PCOS rather than obesity is unknown. We assessed insulin-released DCI-IPG and its relationship to insulin sensitivity at baseline and after weight loss in obese women with and without PCOS.Methods.Obese PCOS (n=16) and normal (n=15) women underwent 8 weeks of a hypocaloric diet. The Matsuda index, area under the curve DCI-IPG (AUCDCI-IPG),AUCinsulin, andAUCDCI-IPG/AUCinsulinwere measured during a 2 hr OGTT at baseline and 8 weeks.Results.PCOS women had lowerAUCDCI-IPG/AUCinsulinat baseline and a significant relationship betweenAUCDCI-IPG/AUCinsulinand Matsuda index (p=0.0003), which was not present in controls. Weight loss was similar between PCOS (−4.08 kg) and normal women (−4.29 kg,p=0.6281). Weight loss in PCOS women did not change the relationship betweenAUCDCI-IPG/AUCinsulinand Matsuda index (p=0.0100), and this relationship remained absent in control women.Conclusion.The association betweenAUCDCI-IPG/AUCinsulinand insulin sensitivity was only found in PCOS but not in normal women, and this relationship was unaffected by weight loss. DCI and its messenger may contribute to insulin resistance in PCOS independent of obesity.

scholarly journals Relationship Between Steroid Hormones and Metabolic Profile in Women With Polycystic Ovary Syndrome

2019 ◽  
pp. 457-465 ◽  
Author(s):  
I. LAZÚROVÁ ◽  
Z. LAZÚROVÁ ◽  
J. FIGUROVÁ ◽  
S. UJHÁZI ◽  
I. DRAVECKÁ ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Steroid Hormones ◽  
Cardiometabolic Risk ◽  
Polycystic Ovary ◽  
Serum Insulin ◽  
Multiple Linear Regression Model ◽  
Hdl Cholesterol ◽  
Ovary Syndrome ◽  
The Relationship ◽  
Cardiometabolic Profile

Polycystic ovary syndrome (PCOS) is commonly associated with a higher cardiometabolic risk. The relationship between steroid hormones and cardiometabolic profile in PCOS has been evaluated, but no single hormonal predictor of this association has been identified to determine. To determine the relationship between steroid hormones and cardiometabolic risk factors in PCOS women. Study included 64 women diagnosed with PCOS. Fasting blood samples were analyzed for biochemical, metabolic parameters and sex steroid hormones. PCOS women with BMI≥27 had significantly higher serum free testosterone (FT), free androgen index (FAI), estrone (E1) (p=0.014, p=0.02, p=0.01) than those with normal weight. In all subjects E1 positively correlated with BMI (p=0.0067), serum insulin (p=0.0046), HOMA-IR (p=0.0125) and negatively with HDL-cholesterol (p=0.009). FAI positively correlated with serum cholesterol (p=0.0457), triacylglycerols (TAG) (p=0.0001), HOMA-IR (p=0.037), and glycemia (p=0.0001), negatively with HDL-cholesterol (p=0.029). In multiple linear regression model E1 most significantly predicted HOMA-IR, whereas FT/FAI predicted HDL-cholesterol and BMI. We conclude that PCOS women with marked overweight or obesity have higher FT, FAI and E1 as compared with nonobese PCOS subjects. E1 and FT may predict worse cardiometabolic profile in PCOS.

scholarly journals Urinary bisphenol A in women with polycystic ovary syndrome – a possible suppressive effect on steroidogenesis?

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Zora Lazúrová ◽  
Jana Figurová ◽  
Beáta Hubková ◽  
Jana Mašlanková ◽  
Ivica Lazúrová
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Bisphenol A ◽  
Steroid Hormones ◽  
Polycystic Ovary ◽  
Suppressive Effect ◽  
Human Reproduction ◽  
Control Group ◽  
Ovary Syndrome ◽  
Ovarian Steroidogenesis ◽  
The Relationship

Abstract Objectives There is a growing evidence indicating an impact of endocrine distrupting chemicals such as bisphenol A (BPA) on human reproduction. Its higher levels in serum or urine have been documented in women with polycystic ovary syndrome (PCOS), however the relationship to ovarian steroidogenesis remains unclear. Aim of the study was to compare urinary BPA (U-BPA) concentrations among PCOS women and control group. Second aim was to assess the relationship of U-BPA to ovarian steroidogenesis in the group with PCOS. Methods Eighty six Caucasian women (age 28.5 ± 5.1 years) diagnosed with PCOS and 32 controls of age 24.9 ± 4.4 years were included in the study. Fasting blood samples were analyzed for biochemical parameters and steroid hormones. U-BPA was measured in the morning urine sample using high pressure liquid chromatography. Results PCOS women had significantly higher U-BPA as compared with control group (p=0.0001). Those with high levels of U-BPA (U-BPA ≥2.14 ug/g creatinine) demonstrated higher serum insulin (p=0.029) and HOMA IR (p=0.037), lower serum estrone (p=0.05), estradiol (p=0.0126), FSH (p=0.0056), and FAI (p=0.0088), as compared with low-BPA group (U- BPA <2.14 ug/g creatinine). In PCOS women, U-BPA positively correlated with age (p=0.0026; R2=0.17), negatively with estradiol (p=0.0001, R2=0.5), testosterone (p=0.0078, R2=0.15), free-testosterone (p=0.0094, R2=0.12) and FAI (p=0.0003, R2=0.32), respectively. Conclusions PCOS women have significantly higher U-BPA concentrations than healthy controls. U-BPA positively correlates with age and negatively with ovarian steroid hormones suggesting a possible suppressive effect of bisphenol A on ovarian steroidogenesis.

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.

Leptin levels and insulin sensitivity in obese and non-obese patients with polycystic ovary syndrome

1997 ◽  
Vol 11 (5) ◽  
pp. 315-320 ◽  
Author(s):  
D. Micić ◽  
Dj. Macut ◽  
V. Popović ◽  
M. Ŝumarac-Dumanović ◽  
A. Kendereŝki ◽  
...  
Keyword(s):  
Insulin Sensitivity ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Obese Patients ◽  
Ovary Syndrome

scholarly journals The relationship of soluble neuropilin-1 to severe COVID-19 risk factors in polycystic ovary syndrome

2021 ◽  
Vol 9 ◽  
pp. 100079
Author(s):  
Abu Saleh Md Moin ◽  
Thozhukat Sathyapalan ◽  
Stephen L. Atkin ◽  
Alexandra E. Butler
Keyword(s):  
Risk Factors ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Ovary Syndrome ◽  
Neuropilin 1 ◽  
Relationship Of ◽  
The Relationship

Abnormal expression of uncoupling protein-2 correlates with CYP11A1 expression in polycystic ovary syndrome

2011 ◽  
Vol 23 (4) ◽  
pp. 520 ◽  
Author(s):  
Yun Liu ◽  
Hong Jiang ◽  
Ling-Yun He ◽  
Wu-Jian Huang ◽  
Xiao-Yu He ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Early Stage ◽  
Uncoupling Protein ◽  
Serum Insulin ◽  
Ovarian Tissue ◽  
Fasting Blood Glucose ◽  
Control Group ◽  
Ovary Syndrome ◽  
Protein Levels

Polycystic ovary syndrome (PCOS) may result from hypersensitivity to insulin, which is negatively regulated by uncoupling protein (UCP)-2. Because cholesterol side-chain cleavage enzyme (CYP11A1) is closely linked to PCOS, the expression of UCP-2 and CYP11A1 in ovarian tissues from PCOS patients was examined in the present study. Twelve PCOS patients with hyperandrogenaemia who underwent laparoscopic ovarian wedge resection and 12 age-matched control patients who underwent contralateral ovarian biopsy were enrolled in the study. UCP-2 expression in early stage (primordial, primary and secondary) and late stage (sinus and mature) follicles was examined using immunohistochemistry, whereas UCP-2 and CYP11A1 mRNA and protein levels in ovarian tissue were determined using quantitative reverse transcription–polymerase chain reaction and western blot analyses, respectively. UCP-2 expression increased significantly with follicular development in both control and PCOS tissue, with expression in early stage follicles from PCOS patients significantly greater than that in controls. In addition, both UCP-2 and CYP11A1mRNA and protein levels, mean fasting blood glucose concentrations and fasting serum insulin levels were significantly higher in PCOS patients compared with the control group. Finally, a significant correlation between UCP-2 and CYP11A1 expression was found in PCOS but not control patients. In conclusion, in PCOS patients, there was a correlation between UCP-2 and CYP11A1 expression, which was significantly higher than in the control group. These changes in UCP-2 and CYP11A1 expression may mediate follicle development in PCOS.

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