Recent studies have demonstrated that the uterus has its own microbiota. However, there is no consensus on endometrial microbiota composition, thus its role in the healthy uterine environment is still a frontier topic. Endometrial receptivity is key to embryo implantation, and in this specific context immunological tolerance against fetal antigens and the tightly regulated expression of inflammatory mediators are fundamental. According to recent evidence, endometrial microbiota may interact in a very dynamic way with the immune system during the peri-conceptional stage and later during pregnancy. For this reason, a condition of dysbiosis might lead to adverse pregnancy outcomes. The aim of this review is to summarize the evidence on the molecular mechanisms by which the endometrial microbiota may interact with the immune system. For this purpose, the link between dysbiosis and reproductive disorders, such as infertility, recurrent pregnancy loss (RPL), and preterm birth, will be discussed. In conclusion, the most recent findings from molecular analyses will be reported to illustrate and possibly overcome the intrinsic limitations of uterine microbiota detection (low endometrial biomass, high risk of contamination during sampling, and lack of standardization).
The aim of this study was to investigate the role of 18 F-FDG PET/ CT in predicting pathological prognostic factors, including tumor type and International Federation of Gynecology and Obstetrics (FIGO) score, in gestational trophoblastic disease (GTD). Methods: Retrospective monocentric study including 24 consecutive patients who underwent to 18 F-FDG PET/CT from May 2005 to March 2021 for GTD staging purpose. The following semiquantitative PET parameters were measured from the primary tumor and used for the analysis: maximum standardized uptake value (SUV max ), SUV mean , metabolic tumor volume (MTV) and total lesion glycolisis (TLG). Statistical analysis included Spearman correlation coefficient to evaluate the correlations between imaging parameters and tumor type (nonmolar trophoblastic vs postmolar trophoblastic tumors) and risk groups (high vs low, defined according to the FIGO score), whereas area under the curve (AUC) of the receiver operating characteristic (ROC) curve was used to assess the predictive value of the PET parameters. Mann-Whitney U test was used to further describe the parameter's potential in differentiating the populations. Results: SUV max and SUV mean resulted fair (AUC, 0.783; 95% confidence interval [CI], 0.56-0.95) and good (AUC, 0.811; 95% CI, 0.59-0.97) predictors of tumor type, respectively, showing a low (ρ = 0.489, adjusted P = 0.030) and moderate (ρ = 0.538, adjusted P = 0.027) correlation. According to FIGO score, TLG was instead a fair predictor (AUC, 0.770; 95% CI, 0.50-0.99) for patient risk stratification. Conclusions: 18 F-FDG PET parameters have a role in predicting GTD pathological prognostic factors, with SUV max and SUV mean being predictive for tumor type and TLG for risk stratification.
Objective. This study evaluates a video-feedback program's effectiveness in promoting responsive and sensitive parenting for families in care in a community health center located in the South Bronx, New York City. Methods. Change in measures of parent responsiveness/ sensitivity (Global Rating Scale), depression (Patient Health Questionnaire 9), anxiety (Generalized Anxiety Disorder 7), and parenting stress (Parenting Stress Index-Short Form) were analyzed for mother-infant dyads (N=34) completing a six-session videofeedback program between 2014 and 2016. Results. Participants were primarily mothers of color (30% African American; 63% Hispanic) with young infants (mean age 8 months). At program completion, mothers demonstrated a significant improvement of 19% in maternal responsiveness and fewer depressive and anxious symptoms. Conclusion. Cost-effectiveness studies are needed to compare parenting interventions by setting (community health center, home, or mental health facility) for acceptability and effectiveness to determine best practice models for communities challenged by poverty, trauma, and health disparities.
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