Elucidation of the changes occurring at the proteome level in ovaries of high-fat diet-induced obese rats.

High-fat diet-induced obesity adversely affects the female reproductive system. The metabolic changes that the high-fat diet causes on the ovaries have not been elucidated. Herein, to understand the molecular and cellular mechanisms underlying the effects of long-term high-fat diet-fed, the changes in the global proteomic profile of the rat ovaries were investigated. The female rats were randomly divided into two groups based on their diets: the ones that were fed with the high-fat diet and the other ones that were fed with the control diet for 18 weeks. To identify differentially expressed proteins, the changes in ovary proteomes were investigated by two-dimensional electrophoresis coupled to matrix-assisted laser desorption/ionization-time-of-flight/time-of-flight and label-free quantification with nano-high performance liquid chromatography to tandem mass spectrometry (nHPLC-MS/MS). A total of 80 proteins were differentially regulated. The upregulated proteins were involved in responses to chemical and organic substances, cytokines, external stimuli, and lipids. These proteins were particularly associated with vesicles, microbodies, and cell surface proteins. The downregulated proteins were involved in biological processes associated with cellular respiration. Those proteins created a network consisting of proteins involved in aerobic respiration and energy generation. Our results demonstrated that the mechanisms related to energy production in the ovary tissue were particularly affected by the high-fat diet.

Haplotype Analysis of Vitamin D Receptor (VDR) Gene in Breast Cancer Patients.

BACKGROUND: The aim of the study was to evaluate the role of well-characterized vitamin D receptor (VDR) gene polymorphisms, BsmI (rs 1544410), ApaI (rs 7975232), TaqI (rs 731236), and FokI (rs 10735810) and their haplotypes in the pathogenesis of breast cancer in Turkish women. METHODS: The subjects consisted of women including 331 breast cancer patients and 345 healthy controls. After conventional DNA isolation genotyping was done by a PCR-RFLP method, haplotype analysis was performed using Haploview 4.2. RESULTS: Haplotype analysis in different combinations revealed that frequencies of Fbt, fbt, bAt, and bt haplotypes are significantly higher in breast cancer patients than controls (χ2 = 6.862, p = 0.0088; χ2 = 4.176, p = 0.041; χ2 = 4.184, p = 0.0408; χ2 = 8.409, p = 0.0037 respectively). However, no statistically significant difference between genotypes of cases and controls were found when analyzed separately. CONCLUSIONS: All these data support the hypothesis that it is crucial to evaluate VDR gene polymorphism by haplotype analysis in order to understand how changes in VDR sequence influence the function of the VDR gene and how this variability affects the risk of breast cancer.