POLYCYSTIC OVARY SYNDROME (PCOS) is a common ovulatory disorder that affects 6-10% of women of reproductive age [1][2][3]. PCOS is diagnosed according to the Rotterdam criteria defined by the European Society for Human Reproduction and Embryology (ESHRE) and the American Society for Reproductive Medicine (ASRM). The Rotterdam criteria include the following clinical and biochemical features and require the presence of at least two of three features: 1. oligo/or anovulation; 2. hyperandrogenism or hyperandrogenemia; 3. polycystic ovarian morphology (PCOM) [4].
Although polycystic ovary syndrome (PCOS) is among the most common endocrine disorders in women of reproductive age, its etiology remains poorly understood. From the perspective of developmental origins of health and disease, some studies have investigated the relationship between low birth weight and the prevalence of PCOS and/or PCOS phenotypes in humans; however, the results of these studies were inconclusive. Here, we evaluated the effects of prenatal undernutrition on the metabolic and reproductive phenotypes of dihydrotestosterone-induced PCOS model rats. The PCOS model rats showed increased body weight, food intake, fat weight, adipocyte size, and upregulation of inflammatory cytokines in adipose tissue; prenatal undernutrition exacerbated these metabolic changes. Prenatal undernutrition also increased the gene expression of hypothalamic orexigenic factor and decreased the gene expression of anorexigenic factor in the PCOS model rats. In addition, the PCOS model rats exhibited irregular cyclicity, polycystic ovaries, and disrupted gene expression of ovarian steroidogenic enzymes. Interestingly, prenatal undernutrition attenuated these reproductive changes in the PCOS model rats. Our results suggest that in dihydrotestosterone-induced PCOS model rats, prenatal undernutrition exacerbates the metabolic phenotypes, whereas it improves the reproductive phenotypes, and that such phenotypic changes may be induced by the alteration of some peripheral and central factors.
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