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Objective@#Optimizing culture media for the incubation of immature oocytes is a vital strategy to increase the oocyte maturation rate during in vitro maturation (IVM) programs. This study evaluated the IVM and fertilization rates of human germinal vesicle (GV) and metaphase I (MI) oocytes using two different maturation media (commercial and homemade) with or without growth differentiation factor 9-β (GDF9-β). supplementation. @*Methods@#Immature oocytes from intracytoplasmic sperm injection (ICSI) cycles were collected and assigned to one of two IVM culture media (commercial or homemade; cleavage-stage base). After maturation, MII oocytes were examined under an inverted microscope for the presence of the polar body, zona pellucida (ZP) birefringence, and meiotic spindle (MS) visualization after maturation in four conditions (commercial or homemade medium, with or without GDF9-β. ICSI was done for matured oocytes, and fertilization was confirmed by the visualization of two distinct pronuclei and two polar bodies. @*Results@#No significant differences were found between the two culture media in terms of the time and rate of oocyte maturation or the rate of fertilization (p>0.05). Growth factor supplementation increased the 24-hour maturation rate for both GV and MI oocytes only in homemade medium. The maturation rate after 24 hours was higher for MI oocytes (p0.05). @*Conclusion@#Higher rates of oocyte maturation and fertilization were observed after application of homemade medium supplemented with GDF9-β. Therefore, this combination may be recommended as an alternative for clinical IVM programs.
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OBJECTIVES: This study was conducted with the aim of examines the quality of life of infertile couples and their relationship with the practical resilience of infertile couples referring to Yazd's centers of infertility. METHODS: This research is a descriptive-correlational study. The research population consisted of all infertile couples who referred to Infertility Centers in Yazd, Iran in the winter of 2016. Sampling was conducted in a non-random and accessible manner. The instrument used in the research included a) demographic information questionnaire, b) Conner and Davidson's Resilience Scale, and c) quality of life infertile couples questionnaire. Data were analyzed by SPSS software version 17 at a significant level of P < 0.05. To describe the data, descriptive statistics methods were used and the inferential statistics (Pearson correlation coefficient, regression, independent t test, and variance analysis) were used to test the research hypotheses. RESULTS: People (202 couples) participated in this research. Three variables of resilience (β = 0.04, P = 0.04), gender (β = −0.22, P < 0.001), and education level (β = 0.21, P < 0.001) had a prediction coefficient and there was a significant relationship with quality of life. CONCLUSIONS: This study showed that resilience, gender, and education predict the quality of life of infertile couples. In the infertile couples counseling program, resilience should be considered as a coping factor.