scholarly journals Circulating FGF21 levels are related to nutritional status and metabolic but not hormonal disturbances in polycystic ovary syndrome

2015 ◽  
Vol 172 (2) ◽  
pp. 173-179 ◽  
Author(s):  
Magdalena Olszanecka-Glinianowicz ◽  
Paweł Madej ◽  
Michał Wdowczyk ◽  
Aleksander Owczarek ◽  
Jerzy Chudek

ObjectiveThe aim of this study was to analyse relationships between plasma fibroblast growth factor 21 (FGF21) levels and nutritional status, and metabolic and hormonal disturbances in polycystic ovary syndrome (PCOS) women.Design and settingA cross-sectional study involving 85 PCOS (48 obese) and 72 non-PCOS women (41 obese) was conducted to evaluate the relationship between FGF21 levels and PCOS.MethodsAnthropometric parameters and body composition were determined. In the fasting state; serum concentrations of glucose, androgens, FSH, LH, SHBG, insulin and FGF21 were measured.ResultsPlasma FGF21 levels were significantly higher in obese women compared with normal-weight women in both PCOS and non-PCOS subgroups (120.3 (18.2–698) vs 62.3 (16.4–323.6) pg/ml, P<0.05 and 87.2 (12.9–748.4) vs 62.9 (18.0–378.8) pg/ml, P<0.05 respectively). Additionally, circulating FGF21 levels were significantly higher in the obese PCOS subgroup compared with the non-PCOS subgroup (120.3 (18.2–698.0) vs 87.2 (12.9–748.4) pg/ml, P<0.05). Circulating FGF21 levels were proportional to BMI (R=0.27; P<0.001), body fat mass (R=0.24; P<0.01) and percentage (R=0.24; P<0.01), as well as waist circumference (R=0.26; P<0.01). Additionally, plasma insulin and homeostasis model assessment of insulin resistance (HOMA-IR) values were related to FGF21 levels (R=0.44; P<0.001 and R=0.19; P<0.05 respectively). In multiple regression analysis, circulating FGF21 level variability was explained by HOMA-IR values and fat percentage, as well as waist circumference, but not correlated with oestradiol levels and free androgen index values.ConclusionsHigher circulating FGF21 levels are related to nutritional status and insulin resistance independent of PCOS. Increased FGF21 is associated with metabolic but not hormonal disturbances.

2021 ◽  
Vol 49 (7) ◽  
pp. 030006052110317
Author(s):  
Chenyun Miao ◽  
Qingge Guo ◽  
Xiaojie Fang ◽  
Yun Chen ◽  
Ying Zhao ◽  
...  

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.


Author(s):  
Daniel A Dumesic ◽  
Ayli Tulberg ◽  
Megan McNamara ◽  
Tristan R Grogan ◽  
David H Abbott ◽  
...  

Abstract Context Increased aldo-keto reductase 1C3 (AKR1C3)-mediated conversion of androstenedione (A4) to testosterone (T) promotes lipid storage in subcutaneous (SC) abdominal adipose in overweight/obese polycystic ovary syndrome (PCOS) women. Objective To examine whether an elevated serum T/A4 ratio, as a marker of enhanced AKR1C3 activity in SC abdominal adipose, predicts metabolic function in normal-weight PCOS women. Design Prospective cohort study. Setting Academic center. Patients Nineteen normal-weight PCOS women; 21 age- and body mass index-matched controls. Intervention(s) Circulating hormone/metabolic determinations, intravenous glucose tolerance testing, total body dual-energy x-ray absorptiometry, SC abdominal fat biopsy. Main Outcome Measure(s) Serum T/A4 ratios, hormone/metabolic measures and AKR1C3 expression of adipocytes matured in vitro were compared between female types; serum T/A4 ratios were correlated with serum lipids, adipose insulin resistance (adipose-IR), homeostatic model assessment of insulin resistance (HOMA-IR) and insulin sensitivity (Si). Results Increased serum T/A4 ratios (P=0.040) and log adipose-IR values (P=0.002) in PCOS women versus controls were accompanied by AKR1C3 mRNA overexpression of PCOS adipocytes matured in vitro (P=0.016). Serum T/A4 ratios in PCOS women, but not controls, negatively correlated with log triglycerides (TG: R=-0.65, P=0.002) and the TG index (R=-0.57, P=0.011). Adjusting for serum free T, serum T/A4 ratios in PCOS women remained negatively correlated with log TG (R=-0.57, P=0.013) and TG index (R=-0.50, P=0.036), respectively, without significant relationships with other metabolic measures. Conclusion An elevated serum T/A4 ratio, as a marker of enhanced AKR1C3 activity in SC abdominal adipose, predicts healthy metabolic function in normal-weight PCOS women.


2021 ◽  
Vol 14 (1) ◽  
pp. 1-6
Author(s):  
Shakeela Ishrat ◽  
Marufa Hossain ◽  
Subrata Kumar Biswas

The objective of this study is to explore how hyperinsulinemia and insulin resistance relate to the clinical, endocrine and metabolic factors in the infertile women with polycystic ovary syndrome. This study was conducted on 121 consecutive infertile women with polycystic ovary syndrome attending the Infertility unit from January 2017 to December 2017. They were divided into two groups: insulin resistant and insulin sensitive. There was significant difference in body mass index and waist circumference between the two groups. Serum lipids were not associated with insulin resistance. Hyperinsulinemia was significantly associated with metabolic syndrome. Reducing body mass index and waist circumference may improve insulin resistance in infertile women with polycystic ovary syndrome. Screening the infertile women with polycystic ovary syndrome for hyperinsulinemia and insulin resistance and subsequent counseling is recommended to address the long-term risks of metabolic syndrome.


2021 ◽  
Vol 12 ◽  
pp. 204201882110496
Author(s):  
Gurhan Guney ◽  
Mine Islimye Taskin ◽  
Ozgur Baykan ◽  
Ertan Adali ◽  
Selin Gul Tezcan ◽  
...  

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.


2021 ◽  
Vol 20 (4) ◽  
pp. 864-870
Author(s):  
Shakeela Ishrat ◽  
Marufa Hossain

Background: Polycystic ovary syndrome (PCOS) affects 5-10% of reproductive age women and it is a common cause of infertility in young women. Most of the infertile women with PCOS are overweight or obese. Obesity or excess fat aggravates the endocrine and metabolic dysfunction in women with PCOS. Weight management is the first line measure advised to infertile PCOS women who are overweight or obese. The objective of the study was to explore the association of obesity with the clinical, endocrine and metabolic parameters in infertile women with polycystic ovary syndrome in Bangladesh. Methodology: This was a cross sectional study of 126 consecutive infertile women with polycystic ovary syndrome attending the Infertility unit of the Department of Obstetrics and Gynecology at Bangabandhu Sheikh Mujib Medical University from January 2017 to December 2017.Obesity groups were defined by BMI thresholds specific for the South Asian population. Results: The mean body mass index (BMI) was 26.58±3.18 kg/m2and mean waist circumference was 91.07±9.5 cm. There was highly significant association of obesity with waist circumference and fasting insulin. BMI at or above 25kg/m2 was significantly associated with acanthosis nigricans, hyperandrogenemia and hyperinsulinemia, whereas BMI at or more than 23kg/m2 was significantly associated, in addition, with insulin resistance and metabolic syndrome. Conclusion: Obesity is associated with hyperandrogenemia, hyperinsulinemia, insulin resistance and metabolic syndrome in infertile women with polycystic ovary syndrome. Bangladesh Journal of Medical Science Vol.20(4) 2021 p.864-870


Author(s):  
Cristina Benetti-Pinto ◽  
Vanessa Piccolo ◽  
Daniela Yela ◽  
Heraldo Garmes

Objective This study analyzed the effectiveness of the thyroid-stimulating hormone (TSH) as a predictor of insulin resistance (IR) and its association with the clinical and metabolic parameters of women with polycystic ovary syndrome (PCOS) without overt hypothyroidism. Study Design A cross-sectional study was performed. Women with PCOS and without overt hypothyroidism (n = 168) were included. Methods Receiver operating characteristic (ROC) curve was used to determine the cut-off point for TSH that would maximize sensitivity and specificity for a diagnosis of IR using homeostatic model assessment of insulin resistance (HOMA-IR) ≥ 2.71. Clinical and metabolic parameters were compared as a function of the TSH cut-off limit and the presence of IR. Results Thyroid-stimulating hormone ≥ 2.77 mIU/L was associated with a diagnosis of IR, with sensitivity of 47.9% and specificity of 65.3%. There were no differences in clinical, hormonal or metabolic parameters between TSH < 2.77 and TSH of 2.77 – 10 mIU/L. Conclusion In women with PCOS without overt hypothyroidism, TSH ≥ 2.77 mIU/L is associated with IR; however, with poor sensibility, showing TSH to be a poor predictor of IR in this population. No clinical or metabolic alterations were found that would justify a change in clinical management. Thus, the IR should be investigated in all women with PCOS irrespective of TSH level.


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

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.


2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Do Kyeong Song ◽  
Hyejin Lee ◽  
Young Sun Hong ◽  
Yeon-Ah Sung

Abstract Polycystic ovary syndrome (PCOS) is a heterogeneous disorder and associated with metabolic disturbances such as insulin resistance (IR) and obesity which are risk factors for cardiovascular diseases. Many studies have shown that waist circumference (WC) representing abdominal obesity is an important risk factor for IR. However, there were few studies whether WC were associated with IR in young women with PCOS. We aimed to evaluate the role of WC in IR among young Korean women with PCOS. We enrolled age- and body mass index-matched women with PCOS (n = 100) and controls (n = 100). WC was measured and the 75-gram oral glucose tolerance test (OGTT) was performed. Insulin sensitivity was assessed by the Stumvoll index which was calculated from an OGTT. Multiple linear regression analysis was performed to evaluate the association between WC and IR. WC, fasting glucose, post-load 2-hour glucose, fasting insulin, and post-load 2-hour insulin did not differ between women with PCOS and controls. Women with PCOS had lower values of the Stumvoll index than the controls. In correlation analysis, WC was negatively correlated with the Stumvoll index in women with PCOS, however not in controls. In multiple regression analysis, WC was negatively associated with the Stumvoll index even after adjustment for age, total cholesterol, and total testosterone in women with PCOS. In young Korean women with PCOS, WC was negatively associated with insulin sensitivity independent of hyperandrogenemia. Simply measuring of WC could be used to screen the high risk group having IR in young women with PCOS.


2020 ◽  
Vol 91 (5) ◽  
pp. 251-255
Author(s):  
Grzegorz Franik ◽  
Ryszard Plinta ◽  
Pawel Madej ◽  
Aleksander Owczarek ◽  
Maria Bozentowicz-Wikarek ◽  
...  

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