scholarly journals Fasting glucose measurement as a potential first step screening for glucose metabolism abnormalities in women with anovulatory polycystic ovary syndrome

2013 ◽  
Vol 28 (8) ◽  
pp. 2228-2234 ◽  
Author(s):  
S. M. Veltman-Verhulst ◽  
A. J. Goverde ◽  
T. W. van Haeften ◽  
B. C. J. M. Fauser
Keyword(s):  
Glucose Metabolism ◽  
Polycystic Ovary Syndrome ◽  
Fasting Glucose ◽  
Polycystic Ovary ◽  
Glucose Measurement ◽  
Ovary Syndrome

scholarly journals Effect of Whey Protein on Insulin Sensitivity and Glucose Metabolism in Women with and Without Polycystic Ovary Syndrome (PCOS)

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 660-660
Author(s):  
Lily Sebastian ◽  
Shenavia Balcom-Luker ◽  
Kayleigh Kaiser ◽  
Irene Low ◽  
Emily Zumbro ◽  
...  
Keyword(s):  
Gene Expression ◽  
Insulin Sensitivity ◽  
Glucose Metabolism ◽  
Polycystic Ovary Syndrome ◽  
Whey Protein ◽  
Fasting Glucose ◽  
Polycystic Ovary ◽  
Ovary Syndrome ◽  
Glucose Levels ◽  
Before And After

Abstract Objectives This study focuses on the metabolic effects of whey protein isolate (WPI) supplementation glucose and insulin metabolism in women with and without Polycystic Ovary Syndrome (PCOS). Affecting up to 20% of post-puberty aged females around the world, PCOS is identified by three main symptoms: increased levels of androgens, irregular cycles, and the presence of ovarian cysts. Women with PCOS tend to be insulin resistant and have faulty insulin signaling. We hypothesize that because WPI has been seen to increase insulin sensitivity in type 2 diabetic populations, it will attenuate blood glucose and insulin levels and in women with PCOS. Methods 15 women with PCOS and 14 women without PCOS (CON) underwent four 150-min oral glucose tolerance tests (OGTT): (i) baseline (no protein), (ii) Day 20 (iii)  and Day 40 of WPI preload. Daily, participants consumed 35 g WPI 30 min before glucose load on test days. Plasma levels of glucose and insulin were assessed using a Biolis 24i chemistry analyzer. Additionally, variations in gene expression levels of glucose metabolism regulators, e.g., GLUT-4, were analyzed in 3T3-L1 cells under normal and PCOS-simulated conditions using qt-PCR before and after WPI supplementation. Results At baseline, both PCOS and CON women had similar fasting glucose levels (107.2 ± 19.54 and 101.14 ± 11.03 respectively). After 20 days of WPI supplementation, fasting glucose increased (103.75 ± 0.5 and 117.25 ± 9.60) but was attenuated by Day 40 (91.5 ± 0.71 and 94.5 ± 0.71). Furthermore, the baseline levels of GLUT-4 expression between women with PCOS (2.698 ± 0.145) and CON (2.188, ± 0.062) were not statistically different. Levels of gene expression post-supplementation with WPI are in the process of being measured. And lastly, plasma insulin levels are in the progress of being measured for both populations before and after supplementation. Conclusions Preliminary analysis indicates that upon WPI supplementation, both groups glucose levels increased after 20 days, but was then attenuated by Day 40, with a slightly greater effect in the PCOS group compared to CON. Overall, our data indicates that WPI may be a potential dietary approach to better managing the symptoms of PCOS. Funding Sources Glanbia Nutritionals, Human Nutrition Research Funds, and Texas Woman's University.

scholarly journals Limitations of insulin resistance assessment in polycystic ovary syndrome

2018 ◽  
Vol 7 (3) ◽  
pp. 403-412 ◽  
Author(s):  
Krzysztof C Lewandowski ◽  
Justyna Płusajska ◽  
Wojciech Horzelski ◽  
Ewa Bieniek ◽  
Andrzej Lewiński
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Fasting Glucose ◽  
Polycystic Ovary ◽  
Detailed Comparison ◽  
Ovary Syndrome ◽  
Extreme Caution ◽  
Insulin Resistant ◽  
Method Of Assessment ◽  
Surrogate Method

Background Though insulin resistance (IR) is common in polycystic ovary syndrome (PCOS), there is no agreement as to what surrogate method of assessment of IR is most reliable. Subjects and methods In 478 women with PCOS, we compared methods based on fasting insulin and either fasting glucose (HOMA-IR and QUICKI) or triglycerides (McAuley Index) with IR indices derived from glucose and insulin during OGTT (Belfiore, Matsuda and Stumvoll indices). Results There was a strong correlation between IR indices derived from fasting values HOMA-IR/QUICKI, r = −0.999, HOMA-IR/McAuley index, r = −0.849 and between all OGTT-derived IR indices (e.g. r = −0.876, for IRI/Matsuda, r = −0.808, for IRI/Stumvoll, and r = 0.947, for Matsuda/Stumvoll index, P < 0.001 for all), contrasting with a significant (P < 0.001), but highly variable correlation between IR indices derived from fasting vs OGTT-derived variables, ranging from r = −0.881 (HOMA-IR/Matsuda), through r = 0.58, or r = −0.58 (IRI/HOMA-IR, IRI/QUICKI, respectively) to r = 0.41 (QUICKI/Stumvoll), and r = 0.386 for QUICKI/Matsuda indices. Detailed comparison between HOMA-IR and IRI revealed that concordance between HOMA and IRI was poor for HOMA-IR/IRI values above 75th and 90th percentile. For instance, only 53% (70/132) women with HOMA-IR >75th percentile had IRI value also above 75th percentile. There was a significant, but weak correlation of all IR indices with testosterone concentrations. Conclusions Significant number of women with PCOS can be classified as being either insulin sensitive or insulin resistant depending on the method applied, as correlation between various IR indices is highly variable. Clinical application of surrogate indices for assessment of IR in PCOS must be therefore viewed with an extreme caution.

scholarly journals Disorders of the glucose metabolism correlate with the phenotype and the severity in women with polycystic ovary syndrome

2020 ◽  
Vol 93 (1) ◽  
pp. 44-51
Author(s):  
Josef Helden ◽  
Osman Evliyaoglu ◽  
Andreas Küberl ◽  
Ralf Weiskirchen
Keyword(s):  
Glucose Metabolism ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Ovary Syndrome

Role of vitamin D treatment in glucose metabolism in polycystic ovary syndrome

2009 ◽  
Vol 92 (3) ◽  
pp. 1053-1058 ◽  
Author(s):  
Kalliopi Kotsa ◽  
Maria P. Yavropoulou ◽  
Olympia Anastasiou ◽  
John G. Yovos
Keyword(s):  
Vitamin D ◽  
Glucose Metabolism ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Ovary Syndrome
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