Sao Paulo State Univ UNESP, Ctr Human Reprod Prof Franco Jr, Paulista Ctr Diag Res & Training, Dept Gynecol & Obstet,Botucatu Med Sch, Ribeirao Preto, Brazil
The objective of the present study was to evaluate the influence of TAAAA repeat allele length on the levels of serum sex hormone binding globulin (SHBG) and cardiovascular risk factors in patients with polycystic ovary syndrome (PCOS). The study included 91 females with PCOS and 99 healthy controls. Phenotypic hyperandrogenism, body mass index and waist‑to‑hip ratio (WHR) were recorded. Hormonal profiles, fasting insulin and glucose levels, lipid profiles and C‑reactive protein (CRP) levels were measured. Genotyping of TAAAA repeat polymorphisms in the SHBG gene was performed. No significant difference was found in the frequency and distribution of TAAAA repeat alleles between PCOS patients and controls (P=0.739). In PCOS patients, SHBG levels were inversely correlated with serum C‑reactive protein (CRP) levels (R=−0.489, P<0.001). PCOS patients with long TAAAA repeat alleles had significantly lower serum SHBG and free testosterone levels, yet higher CRP levels than patients with short allele repeats. A multiple linear regression model using the number of TAAAA repeats, waist‑to‑hip ratio, a homeostatic model assessment of insulin resistance and age as independent predictors explained 44.8% of the variability in serum SHBG levels. In this model, TAAAA repeat polymorphism was found to be the only reliable predictor of serum SHBG levels (P<0.001). In conclusion, the TAAAA repeat polymorphism was shown to not be a major determinant of the PCOS status, although it influenced serum SHBG levels in females with PCOS. A strong independent association existed between serum SHBG and CRP levels. CRP is an established risk factor of cardiovascular disease and a marker of low‑grade inflammation, typical of atherogenesis. This may be one of the pathways by which low SHBG levels affect cardiovascular risk.
The aim of the study was to investigate whether altered adipose tissue secretion of various adipokines is secondary to obesity, hyperandrogenism, and hyperinsulinemia or intrinsic to polycystic ovary syndrome (PCOS). This cross-sectional study included 151 women diagnosed with PCOS by the Rotterdam criteria and 95 healthy women matched by age, body mass index (BMI), and waist-to-hip ratio (WHR). Clinical, biochemical, and hormonal characteristics were assessed. Serum concentrations of ghrelin and adiponectin were found to be significantly lower and concentrations of leptin and resistin significantly higher in women with PCOS than in healthy women matched by age, BMI, and WHR. A PCOS diagnosis made the largest contribution to predicting serum levels of leptin, adiponectin, resistin, and ghrelin in all stepwise multiple regression models, which included PCOS diagnosis, BMI, WHR, luteinizing hormone, total testosterone, free testosterone and homeostatic model assessment of insulin resistance as independent predictors. Leptin, adiponectin, ghrelin and resistin levels may serve as independent biomarkers for the diagnosis of PCOS.
The aim of this study was to perform the analytical validation of Alinity c and i analyzers (Abbott Laboratories, Chicago, IL, USA) for 39 clinical chemistry tests and 17 immunoassays. Precision was evaluated at least at two concentration levels for 5 days in quintuplicate, following CLSI EP15-A3. Method comparison included parallel analysis of leftover routine samples on Alinity analyzers and the previously used Cobas c501 and e601 (Roche Diagnostics, Mannheim, Germany). Linearity was tested by preparing sequential sample dilutions with high analyte concentration, following the CLSI EP6 document. For clinical chemistry tests, within-run coefficients of variation (CV) were up to 6.0% (beta-2-microglobulin), while between-run CVs up to 5.4% (immunoglobulin M). Among immunoassays, the highest within-run CV was obtained for vitamin B12 (6.9%), while between-run for CA 19-9 (4.3%). Complete agreement with Roche analyzers was observed for 16 (41%) clinical chemistry assays and 6 (35%) immunoassays. Half of all evaluated assays did not meet the desirable biological variation criteria for bias, being especially exceeded for alpha1-antitrypsin, apolipoprotein A1, ceruloplasmin, complement C3 and C4, hemoglobin A1c, lipoprotein (a) and myoglobin, as well as some tumor markers (CA 125, CEA, fPSA, AFP, and ferritin), hormones (cortisol, DHEA-S, insulin) and vitamins (25-OHD). Linearity in the tested ranges was confirmed. Overall, this study revealed that precision criteria derived from manufacturer's claims were not satisfied for all assays while comparison study for some assays yielded differences that imply the need for additional assay evaluation prior to introduction into routine practice.