scholarly journals Associations of Serum Magnesium With Insulin Resistance and Testosterone in Women With Polycystic Ovary Syndrome

2021 ◽  
Vol 12 ◽  
Author(s):  
Xi Luo ◽  
Wang-Yu Cai ◽  
Hong-Li Ma ◽  
Jing Cong ◽  
Hui Chang ◽  
...  

ObjectiveThis article aimed to investigate whether serum magnesium is associated with insulin resistance index and testosterone level in women with polycystic ovary syndrome (PCOS).Materials and MethodsOverall 1000 women with PCOS were enrolled in a randomized controlled trial and a cross-sectional analysis of the association of serum magnesium with glucose metabolism markers and testosterone was performed. Serum magnesium, glucose metabolism markers and testosterone were measured. Insulin resistance was evaluated by homeostatic model assessment of insulin resistance (HOMA-IR) and quantitative insulin-sensitivity check index (QUICKI). Multivariable linear regression and logistic regression models were used to estimate the association between serum magnesium, insulin resistance and testosterone.ResultsIn comparative analyses, women with higher quartile of serum magnesium had significantly lower fasting glucose, HOMA-IR and testosterone. Multiple linear regression showed serum magnesium was independently negatively associated with insulin, glucose, HOMA-IR, testosterone and positively associated with QUICKI (P for trend <0.05) after adjusting confounding covariates. Logistic regression showed serum magnesium in quartile 1 and 2 were independently associated with insulin resistance status (Quartile 1: OR: 2.15, 95%CI: 1.35-3.40, P = 0.001; Quartile 2: OR: 1.90, 95%CI: 1.20-3.02, P = 0.006), while quartile 1 was marginally associated with hyperandrogenemia status (Quartile 1: OR: 1.45, 95%CI: 0.99-2.11, P = 0.055) after adjusting confounding covariates.ConclusionThe current findings suggest that lower serum magnesium was associated with aggravated insulin resistance and higher testosterone levels among women with PCOS.

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.


Author(s):  
Renuka Pangaluri ◽  
Shakthiya T ◽  
Vinodhini Vm

 Objective: Polycystic ovarian syndrome (PCOS) is often accompanied by insulin resistance, obesity, and cardiometabolic risk factors. Androgen excess-PCOS recommends oral glucose tolerance test or glycated hemoglobin (HbA1C) to evaluate dysglycemia in PCOS subjects. We undertook this study to evaluate the prevalence of elevated HbA1C levels in PCOS women.Methods: The study was carried out among 100 PCOS patients from SRM Hospital, 100 healthy individuals were included as controls. Fasting glucose, HbA1C, Insulin and Homeostasis Model Assessment-Insulin Resistance Index were estimated.Results: Patients with polycystic ovary syndrome showed a significant increase in HbA1C levels (5.799±1.022; 4.96±0.625, p=0.001) when compared to the control group.Conclusion: We found elevated HbA1C levels in PCOS women categorizing 26% as prediabetes and 28% as having type 2 diabetes mellitus.


2022 ◽  
Vol 13 ◽  
pp. 204201882110666
Author(s):  
Małgorzata Kałużna ◽  
Magdalena Czlapka-Matyasik ◽  
Pola Kompf ◽  
Jerzy Moczko ◽  
Katarzyna Wachowiak-Ochmańska ◽  
...  

Background: Insulin resistance (IR) is common in women with polycystic ovary syndrome (PCOS). Metabolic syndrome (MS) involves IR, arterial hypertension, dyslipidemia, and visceral fat accumulation. Therefore, fatness indices and blood lipid ratios can be considered as screening markers for MS. Our study aimed to evaluate the predictive potential of selected indirect metabolic risk parameters to identify MS in PCOS. Methods: This cross-sectional study involved 596 women aged 18–40 years, including 404 PCOS patients diagnosed according to the Rotterdam criteria and 192 eumenorrheic controls (CON). Anthropometric and blood pressure measurements were taken, and blood samples were collected to assess glucose metabolism, lipid parameters, and selected hormone levels. Body mass index (BMI), waist-to-height ratio (WHtR), homeostasis model assessment for insulin resistance index (HOMA-IR), visceral adiposity index (VAI), lipid accumulation product (LAP), non-high-density lipoprotein cholesterol (non-HDL-C), and triglycerides-to-HDL cholesterol ratio (TG/HDL-C) were calculated. MS was assessed using the International Diabetes Federation (IDF) and the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) criteria. Results: MS prevalence was significantly higher in PCOS versus CON. Patients with both MS and PCOS had more unfavorable anthropometric, hormonal, and metabolic profiles versus those with neither MS nor PCOS and versus CON with MS. LAP, TG/HDL-C, VAI, and WHtR were the best markers and strongest indicators of MS in PCOS, and their cut-off values could be useful for early MS detection. MS risk in PCOS increased with elevated levels of these markers and was the highest when TG/HDL-C was used. Conclusions: LAP, TG/HDL-C, VAI, and WHtR are representative markers for MS assessment in PCOS. Their predictive power makes them excellent screening tools for internists and enables acquiring accurate diagnoses using fewer MS markers.


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.


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.


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.


2022 ◽  
Vol 50 (1) ◽  
pp. 030006052110673
Author(s):  
Li Li ◽  
Jianxiu Yu ◽  
Zhongwei Zhou

Objective This meta-analysis evaluated the association between the mean platelet volume (MPV) and polycystic ovary syndrome (PCOS). Methods A systematic literature search using PubMed, EMBASE, and Web of Science databases until June 2021 was conducted. Pooled standardized mean differences (SMD) and 95% confidence intervals (CI) were determined using a random effects model. Results Ten studies involving 866 women with PCOS and 548 age- and body mass index-matched women without PCOS were included. The MPV was significantly increased in women with PCOS compared with non-PCOS women (SMD = 0.43, 95% CI = 0.13–0.72). Subgroup analyses showed that this trend was consistent in cross-sectional studies (SMD = 0.44, 95% CI = 0.03–0.86) and in Turkish women (SMD = 0.46, 95% CI = 0.13–0.79). Meta-regression analysis revealed a marginally positive correlation between the MPV and the homoeostasis model assessment of insulin resistance in women with PCOS. The sensitivity analysis showed that the effect estimate was robust and stable, and publication bias was not evidenced in the pooled analysis. Conclusions This meta-analysis revealed that women with PCOS have a significantly increased MPV than women without PCOS, which is probably associated with insulin resistance. INPLASY registration number: INPLASY2021100021.


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