The human androgen receptor (AR) gene contains a polymorphic trinucleotide (CAG) repeat sequence in exon 1. The number of CAG repeats may confer differential receptor activity, and specific ranges of variants have been correlated with androgen-sensitive disease processes. Polycystic ovary syndrome (PCOS) is a female condition characterized by androgen excess and infertility, many features of which are effected through the AR. We compared frequency distributions of CAG repeat alleles and their pattern of expression via X-inactivation analysis among 83 fertile women and 122 infertile women with PCOS, all of Australian Caucasian ethnicity. A population comparison with 831 predominantly fertile Australian women was also used. PCR-based assays were used to genotype each woman and assess allele inactivation patterns after digestion of DNA with methylation-sensitive HpaII. Infertile women with PCOS exhibited a greater frequency of CAG alleles or biallelic means greater than 22 repeats compared with both the fertile control group (P < 0.05) and the general population (P < 0.01). Preferential expression of longer CAG repeat alleles was also observed in PCOS and correlated with increased serum T. We conclude that the AR (CAG)n gene locus and/or its differential methylation patterns influence the disease process leading to PCOS.
OBJECTIVE:To determine the predictive factors for pregnancy after controlled ovarian hyperstimulation (COH)/intrauterine insemination (IUI).DESIGN:Prospective observational study.SETTING:University-level tertiary care center.PATIENTS AND METHODS:366 patients undergoing 480 stimulated IUI cycles between November 2007 and December 2008.INTERVENTIONS:Ovarian stimulation with gonadotrophins was initiated and a single IUI was performed 36 h after triggering ovulation.MAIN OUTCOME MEASURES:The primary outcome measures were clinical pregnancy and live birth rates. Predictive factors evaluated were female age, duration of infertility, indication for IUI, number of preovulatory follicles, luteinizing hormone level on day of trigger and postwash total motile fraction (TMF).RESULTS:The overall clinical pregnancy rate and live birth rate were 8.75% and 5.83%, respectively. Among the predictive factors evaluated, the duration of infertility (5.36 vs. 6.71 years, P = 0.032) and the TMF (between 10 and 20 million, P = 0.002) significantly influenced the clinical pregnancy rate.CONCLUSION:Our results indicate that COH/IUI is not an effective option in couples with infertility due to a male factor. Prolonged duration of infertility is also associated with decreased success, and should be considered when planning treatment.
OBJECTIVE:The aim of the present study was to evaluate the prevalence of metabolic syndrome in women with polycystic ovary syndrome (PCOS).SETTING:Infertility clinic in a tertiary care hospital.STUDY DESIGN:A prospective cross-sectional study.MATERIALS AND METHODS:All the women attending the infertility clinic categorized as polycystic ovary syndrome according to Rotterdam criteria (2003) during the study period were included in the study. The women with PCOS underwent screening for metabolic syndrome as defined by the modified American Heart Association/National Heart Lung Blood Institute (AHA/NHLBI) modified ATP 111 (2005) definition. A multivariate logistic regression analysis was applied and significant predictors identified for the prediction of metabolic syndrome.RESULTS:The overall prevalence of metabolic syndrome according to the modified AHA/NHLBI ATP III (2005) criteria was 37.5%. A total of 5.8 % cases were detected to have diabetes mellitus, 8.3% had impaired fasting glucose, and 11.7 % had an impaired glucose test. Dyslipidemia was present in 93.3% cases of PCOS. Among all the risk factors, age and waist hip ratio ≥0.85 were strongly associated with the presence of metabolic syndrome.CONCLUSION:Infertile women with PCOS, particularly those with age ≥25 years or with central obesity (a waist hip ratio of ≥0.85), are at a higher risk of developing metabolic syndrome and should be offered screening tests.
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