scholarly journals Evaluation of Magnesium, Vitamin D, Calcium, and Metformin Supplements on Cardiometabolic Variables in Infertile Women Diagnosed with Polycystic Ovary Syndrome (PCOS): A Randomized, Controlled, Clinical Trial

2020 ◽  
Author(s):  
Roghayeh Anvari Aliabad ◽  
Mohsen Gharakhani ◽  
Marzie Farimani
Keyword(s):  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Clinical Trial ◽  
Vitamin D ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Density Lipoprotein ◽  
Controlled Clinical Trial ◽  
Ovary Syndrome ◽  
Significant Difference

Abstract Background Polycystic ovary syndrome (PCOS) is known as an important etiology of ovulation failure which probably is related to resistance to insulin and other possible related metabolic states. The current study aimed to investigate the effect of supplements such as calcium, vitamin D, and magnesium on cardiometabolic risk factors of infertile PCOS patients. Methods This randomized trial was registrered at Iranian Registry of Clinical Trial (reference code: IRCT2013110615307N1). First, bio-demographic data were gathered and complete physical examinations were performed, for all cases. After meeting the inclusion and exclusion criteria, 106 individuals were randomized into the metformin and vitamin D/calcium (37 patients), metformin and magnesium (34 patients), and metformin (35 patients) groups. After 12 weeks, cardiometabolic parameters including blood pressure, fasting blood sugar (FBS), low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglyceride (TG), and dehydroepiandrosterone-sulfate (DHEA-S) were compared among the mentioned groups. In order to compare treatment groups per protocol analysis was performed. All data were analyzed by SPSS and any p-value less than 0.05 was considered statistically significant. Results The results showed no significant difference in age, infertility duration, frequency of metabolic syndrome, and the cause and duration of infertility among the groups. Also, no statistically significant difference was found between patients diagnosed with (N=12, 35%) and without metabolic syndrome. Many of the metabolic factors (body mass index (BMI), blood pressure (BP), FBS, LDL, and cholesterol) were decreased significantly in all groups after the treatments (p<0.001). However, this difference was not statistically significant for HDL, DHEA-S, TG, and testosterone for either of the groups. The mean changes of HDL, testosterone, and LDL were statistically different among the groups (P-values= 0.005, 0.004, and 0.008 for group 1, 2, and 3, respectively). Also, in the metformin and magnesium group, the positive changes of some laboratory parameters were more than the other groups; however, this difference was not statistically significant in most cases. Also, BMI and BP in metformin and magnesium group were more reduced, however, the difference was not statistically significant. Conclusion It seems that treatment with metformin and magnesium may have benefits for patients with PCOS but further clinical trials are necessary.

scholarly journals Insulin resistance in relation to clinical, endocrine and metabolic profile of infertile women with polycystic ovary syndrome

2021 ◽  
Vol 14 (1) ◽  
pp. 1-6
Author(s):  
Shakeela Ishrat ◽  
Marufa Hossain ◽  
Subrata Kumar Biswas
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Polycystic Ovary Syndrome ◽  
Body Mass ◽  
Polycystic Ovary ◽  
Ovary Syndrome ◽  
Infertile Women ◽  
Significant Difference

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.

scholarly journals Endotrophin as a novel marker in PCOS and its relation with other adipokines and metabolic parameters: a pilot study

2021 ◽  
Vol 12 ◽  
pp. 204201882110496
Author(s):  
Gurhan Guney ◽  
Mine Islimye Taskin ◽  
Ozgur Baykan ◽  
Ertan Adali ◽  
Selin Gul Tezcan ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Density Lipoprotein ◽  
Resistance Index ◽  
Total Testosterone ◽  
Model Assessment ◽  
Homeostasis Model Assessment ◽  
Ovary Syndrome ◽  
Significant Difference

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.

scholarly journals Impact of body mass index on blood pressure levels in patients with polycystic ovary syndrome

2007 ◽  
Vol 51 (7) ◽  
pp. 1104-1109 ◽  
Author(s):  
Cristiano R.G. Barcellos ◽  
Michelle P. Rocha ◽  
Sylvia A.Y. Hayashida ◽  
Décio Mion Junior ◽  
Silvia G. Lage ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Polycystic Ovary Syndrome ◽  
Body Mass ◽  
Polycystic Ovary ◽  
Present Moment ◽  
Model Assessment ◽  
Ovary Syndrome ◽  
Significant Difference ◽  
The Impact

As there is controversy about the prevalence of hypertension in patients with polycystic ovary syndrome (PCOS) and, up to the present moment, no studies have evaluated the impact of body mass index (BMI) on blood pressure levels (BP) in these patients, we studied retrospectively sixty-nine patients with PCOS, with BMI of 29.0 ± 6.7 kg/m² and aged 25.6 ± 5.6 yr, subdivided into three groups according to BMI (normal, overweight and obese) and evaluated regarding BP (mercury sphygmomanometer), basal hormonal profile, fasting glucose, and insulin sensitivity (HOMA-IR). Mean systolic blood pressure (SBP) and diastolic blood pressure (DBP) were normal (118.1 ± 17.0 and 74.7 ± 11.5 mmHg, respectively), with a hypertension prevalence of 20.3%. Of these patients, 78.6% were obese and 21.4% were overweight. When the groups were compared according to BMI, a significant increase in SBP and DBP was observed (higher in overweight and obese patients for SBP and higher in obese for DBP), as well as a significant progressive increase in glucose, insulin, homeostatic model assessment, and a significant progressive decline in LH levels. When the patients were subdivided as normotensive or hypertensive, a significant difference was observed only for BMI (28.2 ± 6.1 and 34.7 ± 8.6 kg/m², respectively; p = 0.007). In conclusion, we observed a significant and progressive impact of BMI on blood pressure levels in our patients with polycystic ovary syndrome.

scholarly journals Decreased Sex Hormone-Binding Globulin Indicated Worse Biometric, Lipid, Liver, and Renal Function Parameters in Women with Polycystic Ovary Syndrome

2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Xi Luo ◽  
Xin-Ming Yang ◽  
Wang-Yu Cai ◽  
Hui Chang ◽  
Hong-Li Ma ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Renal Function ◽  
Polycystic Ovary ◽  
Density Lipoprotein ◽  
Metabolic Parameters ◽  
Sex Hormone Binding Globulin ◽  
Hormone Binding ◽  
Ovary Syndrome ◽  
Renal Functions

Objective. To investigate the relationships between sex hormone-binding globulin (SHBG) and comprehensive metabolic parameters including biometric, glycemic, lipid, liver, and renal functions of women with polycystic ovary syndrome (PCOS). Study Design and Methods. A total of 1000 women diagnosed as PCOS by modified Rotterdam criteria were enrolled in a randomized controlled trial. SHBG and comprehensive metabolic parameters were measured at the baseline visit. Metabolic parameters included biometric parameters, glucose and lipid panels, and liver and renal function parameters. An independent t-test and linear regression were performed to investigate the associations between SHBG and metabolic parameters. Logistic regression was used to detect the relationship between SHBG and the presence of metabolic syndrome. Results. In comparative analyses, PCOS women with lower SHBG levels had higher body mass index, waist circumference, insulin, homeostatic model assessment-insulin resistance (HOMA-IR) index, systolic and diastolic blood pressure, triglycerides, apolipoprotein B (APOB), low-density lipoprotein (LDL), aspartate transferase (AST), alanine transferase (ALT), and blood urea nitrogen (BUN), but lower high-density lipoprotein (HDL) and apolipoprotein A1 (APOA1). In linear regression, SHBG was inversely associated with waist circumference, systolic blood pressure, triglyceride, LDL, APOB, ALT, AST, and BUN but positively associated with HDL and APOA1 after adjusting the BMI. In logistic regression, SHBG is a protective predictor for metabolic syndrome (odds ratio = 0.96; 95% confidence interval: 0.95–0.97). The area under the receiver-operator characteristic curve is 0.732 with a 95% confidence interval of 0.695–0.770. SHBG <26.75 mmol/L is the cutoff point with the best Youden index, which has a sensitivity of 0.656 and specificity of 0.698. Conclusions. Lower SHBG was associated with worsening biometric, lipid, liver, and renal functions but not glycemic parameters among women with PCOS. SHBG can be used as a tool to screen metabolic syndrome. This trial is registered with NCT01573858 and ChiCTR-TRC-12002081.

scholarly journals Metabolic and Hormonal Changes Induced by Pioglitazone in Polycystic Ovary Syndrome: A Randomized, Placebo-Controlled Clinical Trial

2009 ◽  
Vol 94 (2) ◽  
pp. 469-476 ◽  
Author(s):  
Vanita R. Aroda ◽  
Theodore P. Ciaraldi ◽  
Paivi Burke ◽  
Sunder Mudaliar ◽  
Paul Clopton ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Controlled Clinical Trial ◽  
Hormonal Changes ◽  
Ovary Syndrome
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