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.

scholarly journals Alarin: A Novel Circulating Peptide Hormone Linked to Luteinizing Hormone and Hiperandrogenismin Polycystic Ovary Syndrome

2018 ◽  
Vol 1 (1) ◽  
pp. 72-81
Author(s):  
Mehmet CALAN ◽  
Merve Bicer ◽  
Murat Alan ◽  
Pinar Alarslan ◽  
Asli Guler ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Luteinizing Hormone ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Peptide Hormone ◽  
Normal Weight ◽  
Metabolic Parameters ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Circulating Levels

Alarin is a newly identified peptide hormone. It is implicated that alarinplays roles in regulation of energy metabolism and hypothalamo-pituitary-gonadal axis. Polycystic Ovary Syndrome (PCOS) is a common reproductive and metabolic disease in women during reproductive ages. Over-secretion of Luteinizing Hormone (LH) causes hyperandrogenism in women with PCOS. The purpose of the study was to determine the comparison of alarin levels in women with or without PCOS as well as to investigate the relationship between alarin and LH. Eighty-four women with PCOS and 84 age- and BMI- matched controls were recruited in this cross-sectional study. Circulating alarin levels were assessed via ELISA method. The hormonal and metabolic parameters of the recruited subjects were also determined. The circulating levels of alarin in PCOS subjects were higher than controls (6.11 ± 1.91 vs. 3.93 ± 1.60 ng/ml, P <0.001). Alarin showed a positive correlation with insulin resistance marker, BMI, LH and androgens. Moreover, alarin levels were elevated in women with PCOS having insulin resistance compared to those PCOS women without insulin resistance. In both control and PCOS groups, overweight subjects showed an elevation in circulating levels of alarin with respect to normal weight subjects. In the present study, Alarin level with the highest tertile dosage comparing to alarin level with the lowest tertile dosage could highly increase the probability of PCOS risk prevalence in women. Elevated alarin levels in women with PCOS were associated with not only LH and metabolic parameters but also high probability of having PCOS risk independently.

scholarly journals The Prevalence of Insulin Resistance and Its Association With Thyroid-Stimulating Hormone and Obesity in Infertile Women With Different Polycystic Ovary Syndrome Phenotypes

2021 ◽  
Author(s):  
Azam Azargoon ◽  
Narges Sadeghi ◽  
Majid Mirmohammadkhani
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Thyroid Stimulating Hormone ◽  
University Hospital ◽  
Type I ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Infertile Women ◽  
Significant Difference

The aim of this study was to investigate the prevalence of insulin resistance (IR) according to the phenotypic subgroups of polycystic ovary syndrome (PCOS) and to determine the associations of TSH levels and body mass index (BMI) with IR in infertile women with PCOS. In this cross-sectional study, we included 400 infertile women with a diagnosis of PCOS according to Rotterdam criteria who were referred to the infertility clinic of amir-al-Momenin University Hospital from April 2018- to January 2020. They were classified into four different phenotypic subgroups according to ESHRE guidelines. The homeostasis model (HOMA-IR) was used to measure IR. The prevalence of insulin resistance was 39.3% in infertile women with PCOS. Among women with PCOS, the commonest phenotype was type I (68%), with type II (18.2%), type III (8.8%), and type IV (5%), respectively. Furthermore, there was no significant difference in the prevalence of IR among different phenotypes of PCOS. Logistic regression analysis showed that the chance of insulin resistance was higher in overweight (OR: 1.76, 95% CI: 1.07, 2.88, P=0.024) and obese PCOS women (OR: 3.25, 95% CI: 1.86, 5.67, P<0.001) compared with those who were normal or underweight. Moreover, the chance of IR was higher in PCOS women with TSH ≥2.5 μIU/ml as compared with those who had TSH <2.5 μIU/ml (OR: 2.00, 95% CI: 1.18, 3.40, P<0.001). Insulin resistance is a prevalent disorder among infertile Iranian women with PCOS BMI, and serum levels of TSH ≥2.5 μIU/ml are independent predictors of IR.

Thyroid-stimulating hormone and insulin resistance indexes in women with polycystic ovary syndrome

2013 ◽  
Author(s):  
Mirjana Sumarac-Dumanovic ◽  
Danka Jeremic ◽  
Danica Stamenkovic-Pejkovic ◽  
Jelena Milin ◽  
Goran Cvijovic ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Thyroid Stimulating Hormone ◽  
Ovary Syndrome ◽  
Stimulating Hormone

scholarly journals Polycystic ovary syndrome: implications of metabolic dysfunction

2014 ◽  
Vol 41 (2) ◽  
pp. 106-110
Author(s):  
Márcio Augusto Pinto de Ávila ◽  
Ricardo Vasconcellos Bruno ◽  
Fábio Cuiabano Barbosa ◽  
Felipe Cupertino de Andrade ◽  
Adriana Cardoso de Oliveira e Silva ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
The State ◽  
Model Assessment ◽  
Metabolic Dysfunction ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Homeostatic Model Assessment ◽  
Routine Inspection

OBJECTIVE: To determine the prevalence of metabolic syndrome (MS) and its clinical interrelations in polycystic ovary syndrome (PCOS).METHODS: This was a cross-sectional, prospective study with 100 patients with diagnosed PCOS based on the consensus of Rotterdam (2003). We investigated the interrelationships of MS, with intrinsic PCOS data. Dermatological profile was analyzed, in addition to acanthosis nigricans (AN) in the presence of hirsutism and acne. The use of HOMA-IR (homeostatic model assessment of insulin resistance) aimed at the correlation with MS in order to establish the metabolic dysfunction with the state of insulin resistance.RESULTS: The mean and standard deviations corresponding figures for age, body mass index and waist circumference were, respectively, 25.72 (± 4.87), 30.63 (± 9.31) and 92.09 (± 18.73). The prevalence of MS was 36% and significantly correlated with BMI, AN, and in 51% of patients the state of insulin resistance (HOMA-IR). Regarding skin profile, only AN significant correlation with MS.CONCLUSION: We propose the routine inspection of metabolic components related to severe PCOS. These parameters configure the cardiovascular risk and such conduct is of undoubted importance to public health.

scholarly journals Diverse impacts of aging on insulin resistance in lean and obese women with polycystic ovary syndrome: evidence from 1345 women with the syndrome

2014 ◽  
Vol 171 (3) ◽  
pp. 301-309 ◽  
Author(s):  
Sarantis Livadas ◽  
Anastasios Kollias ◽  
Dimitrios Panidis ◽  
Evanthia Diamanti-Kandarakis
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Early Years ◽  
Model Assessment ◽  
Metabolic Abnormalities ◽  
Obese Women ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
The Impact

BackgroundPolycystic ovary syndrome (PCOS) represents a moving spectrum of hormonal to metabolic abnormalities, as women with the syndrome are aging. Hormonal abnormalities, anovulation, and hyperandrogenic signs were predominant during the early years of PCOS and fade away with the years. Metabolic abnormalities and insulin resistance (IR) remain throughout the PCOS life cycle; however, it is unclear as to how they change, as women with the syndrome are aging.ObjectiveTo evaluate the changes in IR and its associations with clinical, biochemical, hormonal, and ultrasound findings in a large cohort of women with PCOS and controls, as they are aging.DesignA cross-sectional study was carried out to evaluate the diverse impacts of aging on IR.SettingAn outpatient clinic was chosen for the study.ParticipantsA total of 1345 women with PCOS (Rotterdam criteria) and 302 controls of Caucasian origin and Greek ethnicity comprised the study group.Main outcome and measuresThe impact of age on IR, as calculated using homeostasis model assessment of IR (HOMA-IR) index, and several PCOS characteristics were evaluated.ResultsIn PCOS, age (−0.045±0.008) was negatively, and BMI positively (0.18±0.007) associated with HOMA-IR (R2=0.36). When data were stratified with regard to the BMI status, a negative association of age with HOMA-IR was found in lean, normal, and overweight patients (r: −0.266, −0.233, −0.192, P<0.001), which was neutralized in obese patients (r: −0.009, P: NS). Free androgen index and BMI were positively associated with HOMA-IR in all age quartiles. When mean HOMA-IR values were plotted according to BMI subgroups at different age quartiles, a significant gradual decrease in HOMA-IR was observed in normal (P<0.001) and overweight (P: 0.004), but not obese, women (P: 0.202) across age quartiles.ConclusionsAging increases IR in obese but not in lean and overweight women with PCOS. As BMI and androgens are positively associated with HOMA-IR and androgens decline through time, it appears that if women with PCOS do not become obese they may exhibit a better metabolic profile during their reproductive years.

scholarly journals Thyroid function in women with polycystic ovary syndrome

2021 ◽  
Vol 10 (3) ◽  
pp. 929
Author(s):  
Bharti Patidar ◽  
Rekha Sapkal
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Significant Positive Correlation ◽  
Polycystic Ovary ◽  
Thyroid Stimulating Hormone ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Positive Correlation ◽  
Significant Difference ◽  
Tsh Levels

Background: This study aimed to assess the serum thyroid stimulating hormone (TSH) levels in women with polycystic ovary syndrome (PCOS), and its variation with obesity, insulin resistance and LH:FSH ratio.Methods: This was a facility based cross sectional study conducted for a period of 18 months on a total of 165 females with PCOS diagnosed based on Rotterdam 2003 criteria. A thorough history and clinical and anthropometric examination was conducted for all females. USG abdomen and serum TSH levels and fT4 were also done and the findings were recorded on questionnaire.Results: Subclinical hypothyroidism was documented in 17% females with PCOS. No statistically significant difference in mean values of LH:FSH ratio, insulin resistance, and obesity parameters were noted among euthyroid and subclinical hypothyroid females with PCOS (p>0.05). TSH levels in present study showed a statsitcally significant positive correlation with BMI.Conclusions: The proportions of thyroid disorders are higher in females with PCOS and they both may present with various similar clinical features. BMI in females with PCOS has significant positive correlation with TSH levels. However, it is not clear whether thyroid dysfunction has significant effect on insulin resistance.

scholarly journals Serum Asprosin Level in Different Subtypes of Polycystic Ovary Syndrome: A Cross-sectional Study

2020 ◽  
Author(s):  
yonghui jiang ◽  
yue liu ◽  
zhiheng yu ◽  
ping yang ◽  
lei xie ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Laboratory Data ◽  
Control Group ◽  
Model Assessment ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Significant Difference ◽  
Pcos Group

Abstract Objective Polycystic ovary syndrome (PCOS) can be divided into different subtypes, including insulin resistance (IR) and hyperandrogenism (HA). Asprosin is a novel hormone associated with IR; however, the role of asprosin in women with PCOS has not been investigated. Thus, the aim of this study was to investigate the relationship between serum asprosin levels and PCOS subtypes. Methods Ninety-three women with PCOS and 77 healthy women as controls were selected for this study. Clinical and laboratory data were compared between the PCOS group and the control group. The PCOS group was further divided into subgroups: 1) women with or without HA (PCOS HA and PCOS NHA, respectively); 2) women with or without IR (PCOS IR and PCOS NIR, respectively). Serum asprosin was measured by ELISA. Results Serum asprosin levels showed no significant difference between the PCOS and control groups. However, it was significantly lower in the PCOS HA and IR groups compared to the respective PCOS NHA and NIR groups (P < .05). In the PCOS group, serum asprosin was negatively correlated with body mass index, luteinizing hormone, testosterone, basal antral follicles, fasting insulin, Homeostatic Model Assessment of Insulin Resistance, and triglycerides. After adjusting for BMI, the correlations were not significant and asprosin was only positively correlated with prolactin (r = 0.426, P < .001). Conclusions Our study shows that women with PCOS HA or IR exhibit significantly lower serum asprosin levels compared to controls, and the lower asprosin level directly correlated with PRL level.

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