The response of the human endometrium to the ovarian hormones, estrogen and progesterone, has been the focus of decades of research. In order to understand this critical aspect of endometrial physiology, we undertook a genome-wide analysis of transcript abundance and changes in transcript level between normal endometrium in the proliferative and secretory phases of the menstrual cycle. A high-density, oligonucleotide gene array, comprising 60 000 gene targets, was used to define the gene expression profile of proliferative and secretory phase endometrium. Results from the arrays were verified using real-time PCR. The expression levels of 149 transcripts differed significantly between the two phases of the cycle determined by stringent range limits (99.99%), calculated using local variance values. These transcripts include previously documented steroidally responsive genes (such as placental protein 14 and stromelysin-3) and novel transcripts not previously linked to either endometrial physiology or steroid regulation (such as intestinal trefoil factor and a number of expressed sequence tags). Examination of the 5' promoter regions of these genes identified many putative estrogen and progesterone receptor DNA binding domains, suggesting a direct response of these genes to the ovarian hormones.
None of the biomarkers evaluated in this review could be evaluated in a meaningful way and there was insufficient or poor-quality evidence. Laparoscopy remains the gold standard for the diagnosis of endometriosis and using any non-invasive tests should only be undertaken in a research setting.
Signal detection methodology was used to identify the best combination of predictors of long-term exercise adherence in 269 healthy, initially sedentary adults ages 50-65 years. Less educated individuals who were assigned to supervised home-based exercise of either higher or lower intensity and who were less stressed and less fit at baseline than other individuals had the greatest probability of successful adherence by the 2nd year. Overweight individuals assigned to a group-based exercise program were the least likely to be successful 2 years later. Predictors of short-term (1-year) adherence were generally similar to predictors of 2-year adherence. Signal detection analysis may be useful for identifying subgroups of people at risk for underadherence who subsequently might be targeted for intervention.
miRNAs appear to be potent regulators of gene expression in endometriosis and its associated reproductive disorders, raising the prospect of using miRNAs as biomarkers and therapeutic tools in endometriosis.
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