Objective The present study aims to assess the cognitive function of healthy full-term puerperae and compare it with the cognitive function of healthy non-pregnant women in order to analyze possible influencing factors. Methods The study subjects were divided into two groups: the maternal (case) group (n = 80) and the control group (n = 30). A total of 50 healthy single-birth full-term primiparous women and 30 women undergoing a second pregnancy were assigned to the maternal group, while 30 non-pregnant women matched by general data were assigned to the control group. Subject cognitive function was assessed using the Montreal Cognitive Assessment (MoCA) (Beijing version) and the Birmingham Cognitive Screen (BCoS) (Mandarin version); related influencing factors were analyzed. Results In the maternal group, the results showed a MoCA score of 26.52 ± 2.13 points and a cognitive impairment incidence of 26% in primiparous women, along with a MoCA score of 25.83 ± 2.49 points and a cognitive impairment incidence of 36.7% in women undergoing a second pregnancy. All scores were lower in the maternal group than in the control group, which had a MoCA score of 27.47 ± 1.28 points and cognitive impairment incidence of 6.7% (p < 0.05). The differences in MoCA score and cognitive impairment incidence between the primiparous sub-group and the second pregnancy sub-group were not statistically significant (p > 0.05). The visual space and executive function MoCA scale scores were lower in the maternal group than in the control group (p < 0.01). Furthermore, the scores were lower in the maternal group than in the control group in the following BCoS items: instant story recall, total apple deletion number, auditory attention, rule conversion, and gesture imitation (p < 0.05). Conclusion Women in the postpartum period may develop cognitive dysfunction; however, the difference in cognitive impairment incidence between the primiparous sub-group and the second pregnancy sub-group in this study was not statistically significant. The educational level, labor analgesia, and total labor time (min) were found to be influencing factors in the postpartum cognitive function decline (p < 0.05).
Background The current study attempted to investigate the role of transcription factor c-fos in the development of premature ovarian insufficiency (POI) as well as the underlying mechanism involving the MALAT1/miR-22-3p/STAT1 ceRNA network. Methods Bioinformatics analysis was performed to extract POI-related microarray dataset for identifying the target genes. Interaction among c-fos, MALAT1, miR-22-3p, and STAT1 was analyzed. An in vivo POI mouse model was prepared followed by injection of sh-c-fos and sh-STAT1 lentiviruses. Besides, an in vitro POI cell model was constructed to study the regulatory roles of c-fos, MALAT1, miR-22-3p, and STAT1. Results c-fos, MALAT1, and STAT1 were highly expressed in ovarian tissues from POI mice and CTX-induced KGN cells, while miR-22-3p was poorly expressed. c-fos targeted MALAT1 and promoted MALAT1 transcription. MALAT1 competitively bound to miR-22-3p and miR-22-3p could suppress STAT1 expression. Mechanically, c-fos aggravated ovarian function impairment in POI mice and inhibited KGN cell proliferation through regulation of the MALAT1/miR-22-3p/STAT1 regulatory network. Conclusion Our findings highlighted inducing role of the transcription factor c-fos in POI through modulation of the MALAT1/miR-22-3p/STAT1 ceRNA network.
Virtual poster abstractsthe Fetal Medicine Foundation (FMF) and Indian fetal growth charts were published at the ISUOG World Congress. We compare our data to different fetal growth charts available in Astraia gmbh. We used 4 charts which are commonly used worldwide. Chitty et al, Hadlock et al, Intergrowth charts, and WHO charts. Each of the charts is shown by bell shaped curve and our biometry of 19000 patients were plotted deviation of z score. Results: Our biometry and growth charts don't fit in to the bell shape of the popular international charts. Astraia GMBH has facility to analyse data. Local population charts will definitely reduce false positive diagnosis of FGR by 9% as well as false negative diagnosis of fetal macrosomia by 11%. NICU admission & related complications were reduced by 8%. Only AC comparison (image) submitted as per ISUOG. BPD, HC & FL also shows similar discrepancy. due to upload restriction, we are uploading only one image of AC. Conclusions: Data suggest that if we use local population charts (Indian charts for present study) will define FGR, both < 10th centile and < 3rd centile with better accuracy. Appropriate use of charts and diagnosis will avoid unnecessary obstetric intervention and NICH admission for better outcome.
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