Use of Inositols in Polycystic Ovary Syndrome

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.

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Randomized comparison of the influence of dietary management and/or physical exercise on ovarian function and metabolic parameters in overweight women with polycystic ovary syndrome

Fertility and Sterility ◽

10.1016/j.fertnstert.2011.09.006 ◽

2011 ◽

Vol 96 (6) ◽

pp. 1508-1513 ◽

Cited By ~ 66

Author(s):

Åsa Nybacka ◽

Kjell Carlström ◽

Agneta Ståhle ◽

Sven Nyrén ◽

Per Martin Hellström ◽

...

Keyword(s):

Physical Exercise ◽

Polycystic Ovary Syndrome ◽

Ovarian Function ◽

Polycystic Ovary ◽

Metabolic Parameters ◽

Dietary Management ◽

Ovary Syndrome ◽

Overweight Women

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

Hormone and Metabolic Research ◽

10.1055/a-0806-8281 ◽

2019 ◽

Vol 51 (01) ◽

pp. 22-34 ◽

Cited By ~ 6

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.

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Metformin administration modulates and restores luteinizing hormone spontaneous episodic secretion and ovarian function in nonobese patients with polycystic ovary syndrome

Fertility and Sterility ◽

10.1016/j.fertnstert.2003.05.020 ◽

2004 ◽

Vol 81 (1) ◽

pp. 114-119 ◽

Cited By ~ 74

Author(s):

A Genazzani

Keyword(s):

Luteinizing Hormone ◽

Polycystic Ovary Syndrome ◽

Ovarian Function ◽

Polycystic Ovary ◽

Ovary Syndrome ◽

Nonobese Patients

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GROWTH FACTOR ACTION ON OVARIAN FUNCTION IN POLYCYSTIC OVARY SYNDROME

Endocrinology and Metabolism Clinics of North America ◽

10.1016/s0889-8529(05)70072-4 ◽

1999 ◽

Vol 28 (2) ◽

pp. 325-339 ◽

Cited By ~ 20

Author(s):

Linda Giudice

Keyword(s):

Growth Factor ◽

Polycystic Ovary Syndrome ◽

Ovarian Function ◽

Polycystic Ovary ◽

Ovary Syndrome

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Rosiglitazone in insulin-resistant women with polycystic ovary syndrome (PCOS): effects on ovarian function and metabolism

Fertility and Sterility ◽

10.1016/s0015-0282(02)03474-x ◽

2002 ◽

Vol 78 ◽

pp. S36 ◽

Cited By ~ 1

Author(s):

Nicholas A Cataldo ◽

Fahim Abbasi ◽

Tracey L McLaughlin ◽

Patricia Y Fechner ◽

Gerald M Reaven ◽

...

Keyword(s):

Polycystic Ovary Syndrome ◽

Ovarian Function ◽

Polycystic Ovary ◽

Ovary Syndrome ◽

Insulin Resistant

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

Bangladesh Journal of Medical Science ◽

10.3329/bjms.v20i4.54146 ◽

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

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

Gene ◽

10.1016/j.gene.2012.04.050 ◽

2012 ◽

Vol 504 (1) ◽

pp. 133-139 ◽

Cited By ~ 8

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

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Circulating leptin concentrations in polycystic ovary syndrome: relation to anthropometric and metabolic parameters

Clinical Endocrinology ◽

10.1046/j.1365-2265.1997.1200936.x ◽

1997 ◽

Vol 46 (2) ◽

pp. 175-181 ◽

Cited By ~ 66

Author(s):

Ian M. Chapman ◽

Gary A. Wittert ◽

Robert J. Norman

Keyword(s):

Polycystic Ovary Syndrome ◽

Polycystic Ovary ◽

Metabolic Parameters ◽

Ovary Syndrome

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

Revista Brasileira de Ginecologia e Obstetrícia / RBGO Gynecology and Obstetrics ◽

10.1055/s-0037-1601436 ◽

2017 ◽

Vol 39 (05) ◽

pp. 224-228 ◽

Cited By ~ 1

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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