Androgen levels and metabolic parameters are associated with a genetic variant of F13A1 in women with polycystic ovary syndrome

Gene ◽  
2012 ◽  
Vol 504 (1) ◽  
pp. 133-139 ◽  
Author(s):  
N. Schweighofer ◽  
E. Lerchbaum ◽  
O. Trummer ◽  
V. Schwetz ◽  
S. Pilz ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Genetic Variant ◽  
Polycystic Ovary ◽  
Metabolic Parameters ◽  
Ovary Syndrome ◽  
Androgen Levels

scholarly journals Relationships Between Biochemical Markers of Hyperandrogenism and Metabolic Parameters in Women with Polycystic Ovary Syndrome: A Systematic Review and Meta-Analysis

2019 ◽  
Vol 51 (01) ◽  
pp. 22-34 ◽  
Author(s):  
Mina Amiri ◽  
Fahimeh Tehrani ◽  
Razieh Bidhendi-Yarandi ◽  
Samira Behboudi-Gandevani ◽  
Fereidoun Azizi ◽  
...  
Keyword(s):  
Systematic Review ◽  
Polycystic Ovary Syndrome ◽  
Biochemical Markers ◽  
Polycystic Ovary ◽  
Meta Analysis ◽  
Metabolic Parameters ◽  
High Density Lipoproteins ◽  
Total Testosterone ◽  
Ovary Syndrome ◽  
Increased Risk

AbstractWhile several studies have documented an increased risk of metabolic disorders in patients with polycystic ovary syndrome (PCOS), associations between androgenic and metabolic parameters in these patients are unclear. We aimed to investigate the relationships between biochemical markers of hyperandrogenism (HA) and metabolic parameters in women with PCOS. In this systematic review and meta-analysis, a literature search was performed in the PubMed, Scopus, Google Scholar, ScienceDirect, and Web of Science from 2000 to 2018 for assessing androgenic and metabolic parameters in PCOS patients. To assess the relationships between androgenic and metabolic parameters, meta-regression analysis was used. A total number of 33 studies involving 9905 patients with PCOS were included in this analysis. The associations of total testosterone (tT) with metabolic parameters were not significant; after adjustment for age and BMI, we detected associations of this androgen with low-density lipoproteins cholesterol (LDL-C) (β=0.006; 95% CI: 0.002, 0.01), high-density lipoproteins cholesterol (HDL-C) (β=–0.009; 95% CI: –0.02, –0.001), and systolic blood pressure (SBP) (β=–0.01; 95% CI: –0.03, –0.00). We observed a positive significant association between free testosterone (fT) and fasting insulin (β=0.49; 95% CI: 0.05, 0.91); this association remained significant after adjustment for confounders. We also detected a reverse association between fT and HDL-C (β=–0.41; 95% CI: –0.70, –0.12). There was a positive significant association between A4 and TG (β=0.02; 95% CI: 0.00, 0.04) after adjustment for PCOS diagnosis criteria. We also found significant negative associations between A4, TC, and LDL-C. Dehydroepiandrosterone sulfate (DHEAS) had a positive association with LDL-C (β=0.02; 95% CI: 0.001, 0.03) and a reverse significant association with HDL-C (β=–0.03; 95% CI: –0.06, –0.001). This meta-analysis confirmed the associations of some androgenic and metabolic parameters, indicating that measurement of these parameters may be useful for predicting metabolic risk in PCOS patients.

scholarly journals Use of Inositols in Polycystic Ovary Syndrome

2020 ◽  
Vol 16 (28) ◽  
pp. 24-34
Author(s):  
O.A. Pustotina ◽  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Ovarian Function ◽  
Polycystic Ovary ◽  
The Body ◽  
Metabolic Parameters ◽  
Ovary Syndrome ◽  
Pathogenetic Role

The article presents key data on the physiology of inositols in the body, their pathogenetic role in the development of polycystic ovary syndrome, and the possibilities of myo-inositol and D-chiro-inositol in the restoration of ovarian function, metabolic parameters, and overcoming of infertility.

Androgen excess increases food intake in a rat polycystic ovary syndrome model by down-regulating hypothalamus insulin and leptin signaling pathways preceding weight gain

2021 ◽  
Author(s):  
Ying Liu ◽  
Yu-chen Xu ◽  
Yu-gui Cui ◽  
Shi-wen Jiang ◽  
Fei-yang Diao ◽  
...  
Keyword(s):  
Weight Gain ◽  
Food Intake ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Androgen Excess ◽  
Ovary Syndrome ◽  
Leptin Signaling ◽  
Leptin Sensitivity ◽  
Androgen Levels ◽  
Restricted Food Intake

Background Polycystic ovary syndrome (PCOS) is a common reproductive and metabolic disorder characterized by high androgen levels. The aim of this study was to evaluate the effects of hyperandrogenism on the hypothalamus, and subsequently on the food intake and obesity in females. Methods A dihydroxy testosterone (DHT)-induced rat model was established to recapitulate the hyperandrogenism features of PCOS patients. Body weight and food intake of the rats were recorded. The food intake of DHT-induced rats was restricted by pair feeding to exclude possible effects of weight gain on the hypothalamus. The expression levels of relevant proteins and mRNAs in the hypothalamus, primary hypothalamic neurons exposed to DHT were analyzed by Western blotting and RT-PCR respectively. The leptin levels in serum and cerebrospinal fluid (CSF) were measured, and leptin was injected via the intracerebroventricular (ICV) route to test the leptin sensitivity of hypothalamus. Results The excessive pre-puberty androgen levels in the DHT-induced rats markedly elevated food intake prior to weight gain. Consistent with this, the expression of NPY and Agouti-related peptide (Agrp) mRNAs were up-regulated, which occurred prior to obesity and even with restricted food intake. In addition, the hypothalamic sensitivity to insulin and leptin was also impaired in the DHT-induced rats before obesity and with restricted food intake. DHT significantly reduced the leptin levels in the CSF, and ICV injection of leptin inhibited the DHT-induced increase in food intake. Conclusions Androgen excess increased food intake in rats and promoted obesity by down-regulating insulin and leptin signaling in the hypothalamus, most likely by suppressing leptin levels in the CSF.

Obesity in relation to clinical, endocrine and metabolic parameters in infertile women with polycystic ovary syndrome: the South Asian perspective

2021 ◽  
Vol 20 (4) ◽  
pp. 864-870
Author(s):  
Shakeela Ishrat ◽  
Marufa Hossain
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Waist Circumference ◽  
Polycystic Ovary Syndrome ◽  
South Asian ◽  
Polycystic Ovary ◽  
Metabolic Parameters ◽  
The South ◽  
Ovary Syndrome ◽  
Infertile Women

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

scholarly journals A Systematic Review of the Effects of Exercise on Hormones in Women with Polycystic Ovary Syndrome

2020 ◽  
Vol 5 (2) ◽  
pp. 35
Author(s):  
Grei Shele ◽  
Jessica Genkil ◽  
Diana Speelman
Keyword(s):  
Systematic Review ◽  
Polycystic Ovary Syndrome ◽  
Aerobic Exercise ◽  
Exercise Intervention ◽  
Polycystic Ovary ◽  
Healthy Weight ◽  
Ovary Syndrome ◽  
Exercise Interventions ◽  
The Impact ◽  
Androgen Levels

Background: Polycystic ovary syndrome (PCOS) is a common endocrine disorder that is characterized by menstrual irregularity and elevated serum androgens, and is often accompanied by insulin resistance. The etiology of PCOS is unknown. Lifestyle interventions and weight loss, where appropriate, remain first-line treatments for women with PCOS. Regular physical activity is recommended for women with PCOS to maintain a healthy weight and cardiovascular fitness. Purpose: To review the evidence for the impact of various exercise interventions on hormone levels in women with PCOS. Methods: A systematic review of original studies indexed in PubMed that utilized an exercise intervention in women with PCOS and reported hormone values pre- and post-intervention. Studies in which the effects of the exercise intervention could be determined were included. Results: Vigorous aerobic exercise improves insulin measures in women with PCOS. Resistance or strength training may improve androgen levels, though additional studies are warranted. Studies with yoga are limited but suggest improvements in androgens. Limited information is available on the impact of exercise on adipokines and anti-Müllerian hormone, warranting further investigation. Conclusions: Recommended guidelines for women with PCOS include vigorous aerobic exercise and resistance training to improve measures of insulin sensitivity and androgen levels.

scholarly journals Thyroid-stimulating Hormone and Insulin Resistance: Their Association with Polycystic Ovary Syndrome without Overt Hypothyroidism

2017 ◽  
Vol 39 (05) ◽  
pp. 224-228 ◽  
Author(s):  
Cristina Benetti-Pinto ◽  
Vanessa Piccolo ◽  
Daniela Yela ◽  
Heraldo Garmes
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Thyroid Stimulating Hormone ◽  
Metabolic Parameters ◽  
Overt Hypothyroidism ◽  
Model Assessment ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Stimulating Hormone

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.

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