82 resultados para PCOS


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Fundamento: A obesidade abdominal apresenta elevada prevalência em mulheres com síndrome dos ovários policísticos (SOP) e está associada a um aumento do risco cardiovascular. Objetivo: Verificar a acurácia da circunferência da cintura (CC), da relação cintura-quadril (RCQ), da relação cinturaestatura (RCEST) e do índice de conicidade (índice C), no que se refere à detecção de fatores de risco cardiovascular (FRCV) em mulheres com SOP. Métodos: Por meio de estudo transversal, foram alocadas 102 mulheres (26,5 ± 5 anos) com diagnóstico de SOP, de acordo com o consenso de Rotterdam. O colesterol total (CT), os triglicerídeos (TG), o LDL-colesterol (LDL-C), o HDLcolesterol (HDL-C), a glicemia de jejum, a glicemia após teste oral de tolerância à glicose (TOTG) e a pressão arterial (PA) foram avaliados em todas as pacientes, além das variáveis antropométricas. Resultados: A relação cintura-estatura foi o marcador que apresentou correlações positivas significativas com o maior número de FRCV (PA, TG e glicemia após TOTG), destacando-se ainda a correlação negativa com HDL-C. Todos os marcadores antropométricos avaliados se correlacionaram positivamente com PA, enquanto CC e RCQ apresentaram correlação positiva também com TG. No tocante à acurácia para detecção de FRCV, os indicadores antropométricos considerados apresentaram taxas de sensibilidade superiores a 60%, com destaque para a RCEST, que apresentou sensibilidade superior a 70%. Conclusão: A RCEST demonstrou ser o indicador antropométrico com a melhor acurácia para a predição de FRCV. Nesse sentido, propõe-se a inclusão desse parâmetro de fácil mensuração na avaliação clínica para o rastreamento de mulheres com SOP e FRCV----------------------ABSTRACT Background: Women with polycystic ovary syndrome (PCOS) present a high prevalence of abdominal obesity, which is associated with an increased cardiovascular risk. Objective: To verify the accuracy of the waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR) and the conicity index (CI) in the detection of cardiovascular risk factors (CVRF) in women with PCOS. Methods: The present transversal study allocated 102 women (26.5 ± 5 years) with a diagnosis of PCOS, according to the Rotterdam criteria. Total cholesterol (TC), triglycerides (TG), LDL-cholesterol (LDL-C), HDL-cholesterol (HDL-C), fasting glucose, glucose after the oral glucose tolerance test (OGTT) and blood pressure (BP) were evaluated in all patients, in addition to the anthropometric variables. Results: The WHtR was the marker that presented significant positive correlations with the highest number of CVRF (BP, TG and post-OGTT glucose), whereas there was a negative correlation with HDL-C. All the evaluated anthropometric markers were positively correlated with BP, whereas WC and WHR also presented a positive correlation with TG. Regarding the accuracy for the detection of CVRF, the anthropometric markers presented a sensibility > 60%, especially the WHtR, which had a sensibility > 70%. Conclusion: The WHtR showed to be the most accurate anthropometric indicator for the prediction of CVRF. In this sense, we propose the inclusion of this easily-measured parameter in the clinical assessment for the screening of women with PCOS and CVRF

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SOARES, Elvira Maria Mafaldo et al. Prevalence of the metabolic syndrome and its components in Brazilian women with polycystic ovary syndrome. Fertility and Sterility, v.89, n.3, p.649-655, mar. 2008

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Trabalho Final do Curso de Mestrado Integrado em Medicina, Faculdade de Medicina, Universidade de Lisboa, 2014

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Background: Polycystic ovary syndrome (PCOS) is one of the most common endocrine women’s disorders in reproductive age. Hyperandrogenism has a critical role in the etiology of PCOS and it can cause fault in Steroidogenesis process. During steroidogenesis, steroidogenic acute regulatory protein (StAR) seems to increase the delivery of cholesterol through mitochondrial membrane. Therefore, polymorphisms of StAR might effect on this protein and play a role in the etiology of PCOS. Objective: The aim of this study was to investigate the association between StAR SNPs with PCOS. Thus, seven polymorphisms in this gene: rs104894086, rs104894089, rs104894090, rs137852689, rs10489487, rs104894085 were detected. Materials and Methods: In this case control study, 45 PCOS women, 40 male factor/unexplained infertile women, and 40 fertile women as two control groups were participated from 2008-2012. Polymorphisms were detected using restriction fragment length polymorphism (PCR-RFLP) method. Results: Heterozygote genotyping for rs137852689 SNP (amino acid 218 C > T) was only seen in seven PCOS patients, one in normal ovulatory women, and five in male factor/unexplained infertile women (15.5%, 2.5%, 12.5%, respectively) (p= 0.12). While, it has shown no association between other SNPS with PCOs. Conclusion: The RFLP results for seven chosen SNPs, which located in exon 5 and 7 showed normal status in three groups, it means no heterozygous or homozygous forms of selected SNPs were observed. So, it seems evaluation of the active amino acid sites should be investigated and also the study population should be increased.

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Background: Vitamin D and insulin play an important role in susceptibility to polycystic ovary syndrome (PCOS), and therefore vitamin D receptor (VDR), parathyroid hormone (PTH), and insulin receptor (INSR) gene variants might be involved in the pathogenesis of PCOS. Objective: The present study was designed to investigate the possible associations between polymorphisms in VDR, PTH, and INSR genes and the risk of PCOS. Materials and Methods: VDR, PTH, and INSR gene variants were genotyped in 35 women with PCOS and 35 controls using Polymerase chain reaction – Restriction fragment length polymorphism method. Furthermore, serum levels of glucose and insulin were measured in all participants. Results: No significant differences were observed for the VDR FokI, VDR Tru9I, VDR TaqI,, PTH DraII, INSR NsiI, and INSR PmlI gene polymorphisms between the women with PCOS and controls. However, after adjustment for confounding factors, the VDR BsmI “Bb” genotype and the VDR ApaI "Aa" genotype were significantly under transmitted to the patients (p= 0.016; OR= 0.250; 95% CI= 0.081-0.769, and p= 0.017; OR= 0.260; 95% CI= 0.086-0.788, respectively). Furthermore, in the women with PCOS, insulin levels were lower in the participants with the INSR NsiI "NN" genotype compared with those with the "Nn + nn" genotypes (P= 0.045). Conclusion: The results showed an association between the VDR gene BsmI and ApaI polymorphisms and PCOS risk. These data also indicated that the INSR "NN" genotype was a marker of decreased insulin in women with PCOS. Our findings, however, do not lend support to the hypothesis that PTH gene DraII variant plays a role in susceptibility to PCOS.

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Background: Polycystic Ovary Syndrome (PCOS) is a complex heterogeneous disorder and the most common endocrinopathy amongst women of reproductive age. It is characterized by androgen excess, chronic anovulation and an altered cardiometabolic profile. PCOS is linked to impaired adipose tissue (AT) physiology and women with this disorder present with greater risk for insulin resistance (IR), hyperinsulinemia, central adiposity, nonalcoholic fatty liver disease (NAFLD) and type 2 diabetes mellitus (T2DM) than matched for age and body mass index (BMI) women without PCOS. Hyperandrogenaemia appears to be driving adipocyte hypertrophy observed in PCOS under the influence of a hyperinsulinaemic state. Changes in the function of adipocytes have an impact on the secretion of adipokines, adipose tissue-derived proinflammatory factors promoting susceptibility to low grade inflammation. Methods: In this article, we review the existing knowledge on the interplay between hyperandrogenaemia, insulin resistance, impaired adipocyte biology, adipokines and chronic low-grade inflammation in PCOS. Results: In PCOS, more than one mechanisms have been suggested in the development of a chronic low-grade inflammation state with the most prevalent being that of a direct effect of the immune system on adipose tissue functions as previously reported in obese women without PCOS. Despite the lack of conclusive evidence regarding a direct mechanism linking hyperandrogenaemia to pro-inflammation in PCOS, there have been recent findings indicating that hyperandrogenaemia might be involved in chronic inflammation by exerting an effect on adipocytes morphology and attributes. Conclusion: Increasing evidence suggests that there is an important connection and interaction between proinflammatory pathways, hyperinsulinemia, androgen excess and adipose tissue hypertrophy and, dysfunction in PCOS. While lifestyle changes and individualized prescription of insulin-sensitizing drugs are common in managing PCOS, further studies are warranted to eventually identify an adipokine that could serve as an indirect marker of adipocyte dysfunction in PCOS, used as a reliable and pathognomic sign of metabolic alteration in this syndrome.

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This paper analyzes the implementation of new technologies in network industries through the development of a suitable regulatory scheme. The analysis focuses on Smart Grid (SG) technologies which, among others benefits, could save operational costs and reduce the need for further conventional investments in the grid. In spite of the benefits that may result from their implementation, the adoption of SGs by network operators can be hampered by the uncertainties surrounding actual performances. A decision model has been developed to assess the firms' incentives to invest in "smart" technologies under different regulatory schemes. The model also enables testing the impact of uncertainties on the reduction of operational costs, and of conventional investments. Under certain circumstances, it may be justified to support the development and early deployment of emerging innovations that have a high potential to ameliorate the efficiency of the electricity system, but whose adoption faces many uncertainties.