No abstract

No abstract

BACKGROUND Polycystic ovary syndrome (PCOS) is a heterogeneous disorder. However, PCOS has a strong resemblance to the metabolic syndrome, including preponderance of visceral fat deposition. The aim of this study is to compare fat distribution between lean women with PCOS and controls matched for body composition but with regular menstrual cycles and proven fertility. METHODS In this prospective cross-sectional study in a fertility outpatient clinic, 10 Caucasian women with PCOS and 10 controls, all with a BMI between 19 and 25 kg/m(2), were included. Fasting glucose, insulin and C-peptide concentrations, homeostasis model assessment (HOMA), hormonal levels and bioelectrical impedance analysis (BIA) variables were assessed and fat content and ovarian volume determinations were obtained with magnetic resonance imaging (MRI). Multiple axial cross-sections were calculated. RESULTS The age of the PCOS and control groups were [mean (SD)] 28.2 years (2.6) versus 33.7 years (2.3) P < 0.0001, respectively, and both groups were matched for BMI: 21.6 kg/m(2) (1.1) versus 21.8 kg/m(2) (2.1) (ns), fasting glucose, insulin, C-peptide, HOMA-insulin resistance (IR) levels and BIA parameters. PCOS cases had higher ovarian volumes and less visceral fat compared with controls. CONCLUSIONS Lean women with PCOS have higher MRI-determined ovarian volumes and less visceral fat content when compared with control women.

BackgroundTo date, diagnosing food allergies in children still presents a diagnostic dilemma, leading to uncertainty concerning the definite diagnosis of peanut allergy, as well as to the need for strict diets and the potential need for adrenalin auto-injectors. This uncertainty in particular is thought to contribute to a lower quality of life. In the diagnostic process double-blind food challenges are considered the gold standard, but they are time-consuming as well as potentially hazardous. Other diagnostic tests have been extensively studied and among these component-resolved diagnostics appeared to present a promising alternative: Ara h2, a peanut storage protein in previous studies showed to have a significant predictive value.MethodsSixty-two out of 72 children, with suspected peanut allergy were analyzed using serum specific IgE and/or skin prick tests and specific IgE to several components of peanut (Ara h 1, 2, 3, 6, 8, 9). Subsequently, double-blind food challenges were performed. The correlation between the various diagnostic tests and the overall outcome of the double-blind food challenges were studied, in particular the severity of the reaction and the eliciting dose.ResultsThe double-blind provocation with peanut was positive in 33 children (53 %). There was no relationship between the eliciting dose and the severity of the reaction. A statistically significant relationship was found between the skin prick test, specific IgE directed to peanut, Ara h 1, Ara h 2 or Ara h 6, and the outcome of the food challenge test, in terms of positive or negative (P < .001). However, we did not find any relationship between sensitisation to peanut extract or the different allergen components and the severity of the reaction or the eliciting dose. There was no correlation between IgE directed to Ara h 3, Ara h 8, Ara h 9 and the clinical outcome of the food challenge.ConclusionsThis study shows that component-resolved diagnostics is not superior to specific IgE to peanut extract or to skin prick testing. At present, it cannot replace double-blind placebo-controlled food challenges for determination of the eliciting dose or the severity of the peanut allergy in our patient group.Electronic supplementary materialThe online version of this article (doi:10.1186/s12887-016-0609-7) contains supplementary material, which is available to authorized users.