Microbiota are microorganismal communities colonizing human tissues exposed to the external environment, including the urogenital tract. The bacterial composition of the vaginal microbiota has been established and is partially related to obstetric outcome, while the uterine microbiota, considered to be a sterile environment for years, is now the focus of more extensive studies and debates. The characterization of the microbiota contained in the reproductive tract (RT) of asymptomatic and infertile women, could define a specific RT microbiota associated with implantation failure. In this pilot study, 34 women undergoing personalized hormonal stimulation were recruited and the biological samples of each patient, vaginal fluid, and endometrial biopsy, were collected immediately prior to oocyte-pick up, and sequenced. Women were subsequently divided into groups according to fertilization outcome. Analysis of the 16s rRNA V4-V5 region revealed a significant difference between vaginal and endometrial microbiota. The vaginal microbiota of pregnant women corroborated previous data, exhibiting a lactobacilli-dominant habitat compared to non-pregnant cases, while the endometrial bacterial colonization was characterized by a polymicrobial ecosystem in which lactobacilli were exclusively detected in the group that displayed unsuccessful in vitro fertilization. Overall, these preliminary results revisit our knowledge of the genitourinary microbiota, and highlight a putative relationship between vaginal/endometrial microbiota and reproductive success.

In a view of the increased clinical interest in the presence of hormones in human milk, the objective of this study was to evaluate maternal plasma and milk cortisol levels in early puerperium and their relationship in breast-feeding in women who underwent elective cesarean section or who delivered vaginally. During the first 3 days of breast-feeding, plasma and milk cortisol levels declined significantly both in women who underwent elective cesarean section and in women who had spontaneous deliveries. Moreover, the breast-feeding procedure did not affect maternal plasma and milk hormonal levels, since no differences between the cortisol levels measured immediately before and after morning daily breast-feeding were detected. Furthermore, a very high positive correlation (p < 0.001) was found between plasma and milk cortisol concentrations. Therefore, maternal plasma cortisol levels can be considered a very reliable measure to predict the hormonal concentration in breast milk.

Aim: To analyze the prognostic value of maternal serum C-reactive protein (CRP) in predicting funisitis in patients with preterm premature rupture of membranes (pPROM). Methods: 66 patients (gestational age 24–33 weeks) hospitalized 1–12 h after pPROM were enrolled. White blood cell count (WBC), platelet count (PLT) and plasma concentration of CRP were assessed every 3 days. Histological evidence of chorioamnionitis and funisitis was obtained post-partum. Receiver operating characteristic (ROC) curves were employed to evaluate the role of maternal CRP in predicting funisitis. Results: Funisitis was found in 24 patients (36.3%); 42 patients (63.7%) without funisitis were considered as controls. PLT and WBC at admission and before delivery did not show significant differences and were not statistically different between the two groups. Patients with funisitis had significantly higher CRP levels both at admission to hospital and 24– 48 h before delivery. ROC curve analysis showed that CRP at admission (area under the curve: 0.671, p = 0.021) and before delivery (area under the curve: 0.737, p = 0.001) are predictive of funisitis. Conclusions: High maternal serum CRP levels (>20,000 µg/l) in pPROM patients at admission to hospital may be an early marker which indicates, with a good diagnostic performance, the presence of funisitis.

The objective of this review is to summarize results from clinical trials that tested cytotoxic drugs and target strategies for the treatment of platinum resistant (PR) recurrent ovarian cancer (ROC) with particular attention to Phase III and ongoing trials. Areas covered: Since platinum free interval (PFI) represents the most important predictive factor for response to platinum re-treatment in ROC, non-platinum regimens are conventionally considered the most appropriate approaches. Impressive progress has been made in recent decades, resulting in the identification of most effective cytotoxic agents and in the development of new target strategies. However, the efficacy of most of these drugs for the treatment of PR disease is still limited. Expert opinion: The most favorable benefit for the treatment of PR disease, has been described by the AURELIA trial that showed a 3.3 months increase in progression free survival (PFS) when bevacizumab was combined with non-platinum single agent chemotherapy in bevacizumab-naïve patients. Nevertheless, the use of novel agents is associated to important costs for just little gains in survival. Thus, in our opinion the economic evaluation, such as the incorporation of quality of life into the clinical studies is crucial for the development of future trials for PR-ROC.

The aim of the study was to evaluate the body composition and fat distribution in long-term users of hormonal replacement therapy (HRT). 18 healthy menopausal women, long-term users of HRT (transdermal estradiol 50 μg continuously administered and 10 mg/day of medroxyprogesterone acetate for 12 days/month) and 18 healthy menopausal women, who had never used HRT were included in the study. Age, menopausal age, parity, weight and height (body mass index, weight/height²), and lifestyle habits were similar. Waist and hip circumference, body composition and waist/hip ratio were measured and the results were analyzed. No significant difference was demonstrated in fat and water percentage, and waist/hip ratio. Nevertheless, the waist circumference of long-term HRT users was significantly lower than that of non-users. In conclusion, abdominal fat in long-term HRT users is lower than that of non-users of similar age, menopausal age and body mass index.