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A good Scn1a epilepsy mutation in Scn8a adjusts seizure vulnerability as well as conduct.
Mater-nal related variables were statistically significant like uneducated mother (β=0.26, p= 0.013), mothers who get antenatal visit care 2-3 times (β=-0.210, p=0.10), source of drinking water (β=0.844, p less then 0.001) and malaria affected mothers (β=0.344, p less then 0.001). Conclusion Children from rural mothers, uneducated families, mothers who did not get more antenatal care visits, poor families, mothers who drink non -improved water, mothers who are affected by malaria during pregnancy, teen-ager mothers are small in size at birth.Background The present study aimed to determine the association between pregnancy-associated plasma protein A (PAPP-A) and Gestational Diabetes Methods (GDM) to detect a risk factor for predicting GDM at gestational weeks 11-14. Methods This analytical prospective study recruited 284 pregnant women presenting to six healthcare centers of Qazvin, Iran from February to December 2016. PAPP-A was measured at gestational weeks 11-14 and glucose tolerance test was conducted at gestational weeks 24-28. The participants were assigned into two groups of exposure (reduced PAPP-A) and non-exposure (normal PAPP-A). The association between GDM and PAPP-A was studied. The number of women in exposure group were 201 and 83 in the non-exposure group. Differences between groups were assessed by the Mann-Whitney, Chi-square, T test, logistic regression analysis and ROC Curve with a significance level of 0.05. Results Twenty eight (33.73%) patients of the exposure group and 17 (8.46%) of non-exposure group developed GDM. There was a significant difference between the two groups in terms of GDM (p less then 0.001) and the risk of GDM was 3.98 fold higher in the exposure group (reduced PAPPA mu/L) than that of the non-exposure group (CI=2.39-6.65, p less then 0.001). Also, 53.3% of the exposure group and 46.7% of the nonexposure group were diagnosed with GDM (p=0.02). There was a significant difference in GDM between the groups and the risk of GDM was 1.85 times higher in the exposure group (reduced PAPPA MOM) than that in the control group (CI=1.09-3.15, p=0.020). According to the ROC curve results, PAPP-A and MOM are acceptable indicators for predicting GDM. Conclusion A low PAPP-A level (MOM, MU/L) as a new risk factor for GDM can help early prediction and prevent maternal and fetal complication by timely treatment.Background Genital tract infection is one of the causes of male infertility. Several studies have shown a role for human cytomegalovirus (CMV) in this context. In the present study, the prevalence of CMV in a population of male partners of infertile couples was estimated and the impact of CMV on sperm parameters was determined. Methods In this cross sectional study, CMV DNA and virus copy number were examined in the semen of 150 participants including 80 with normal semen analysis (SA) and 70 with abnormal SA, by quantitative Real-Time PCR. Sperm parameters were compared between CMV positive and negative groups. Comparisons with p- values under 0.05 were considered significant. Logistic regression was performed to control the effect of some variables with p less then 0.25 on sperm parameters. Results CMV DNA was detected in the semen of 28 (18.6%) individuals. 21 men (30%) with abnormal SA and 7 (8.8%) with normal SA were positive for CMV DNA (p=0.001). The mean virus copy number was 883.1±4662.01 for the men with abnormal SA and 2525.7±12680.9 for those with normal SA (p=0.001). Sperm count was (32.1±23.5) ×106 in CMV positive and (44.2±24.1) ×106 in CMV negative groups (p=0.022). Normal sperm morphology was 2.73±2.83% and 5.99±5.44% in CMV positive and negative groups, respectively (p less then 0.001). After controlling some variables, the sperm morphology remains the only statistically significant sperm parameter that was reduced by CMV. Conclusion The higher CMV prevalence in the semen of males with abnormal SA compared to normal SA and significant reduction of sperm morphology in the presence of CMV, are in favor of the negative impact of CMV on male fertility.Background Multinucleated embryos exhibit impaired implantation potential, but whether the presence of multinucleated embryos in an embryo cohort reflects the quality of the entire cohort is controversial. No data exists on multinucleation rate among frozen-thawed embryos. Methods De novo multinucleation and the number of multinucleated embryos on day two of embryo culture before freezing (D2) (n=415), at thawing (D2t) (n=320) and after an overnight culture after thawing (D3t) (n=265) was recorded. Associations between multinucleation before and after cryopreservation, female age and ovarian sensitivity to hormonal stimulation were assessed. Results The occurrence of at least one multinucleated embryo per embryo cohort was 62.4% on D2, 16.3% on D2t and 31.7% on D3t. The presence of multinucleated embryos prior to freezing was not associated with de novo multinucleation during post-thaw culture (p=0.845). On D2, multinucleation was high in young women, irrespective of the number of collected oocytes (p=0.702). In older age groups, multinucleation was highest if >17 oocytes were obtained (p238 IU/oocyte (In the age group of 30-35 years OR 0.25 [0.13-0.47], and the age group of 36-40 years OR 0.35 [0.20-0.63]. SCH-527123 CXCR antagonist Conclusion Multinucleation is commonly seen in embryos and good-quality day two embryo cohorts before freezing. The presence of multinucleated embryos prior to freezing does not illustrate multinucleation in sibling embryos after thawing. Embryo multinucleation is associated with factors related to good prognosis in assisted reproduction treatments.Background The purpose of this study was to assess whether the outcomes from IVF-preimplantation genetic testing (IVF-PGT) cycles for single gene defects (SGD) (PGT-M) differ between a privately funded period (PRP) and publicly funded period (PUP). Methods A retrospective cohort study was conducted in a North-American single tertiary center. The PRP (March 1998 to July 2010) comprised 56 PGT-M cycles from 58 IVF cycles in 38 couples, and the PUP (August 2010 to May 2015) comprised 59 PGT-M cycles from 87 IVF cycles in 38 couples. One PGT-M cycle is defined as one biopsy procedure from one or serial IVF cycles. A p-value of 0.05 was considered statistically significant. Results The clinical pregnancy rates (CPR) per PGT-M cycle were 30.4% and 52.5% in each period, respectively (p=0.021). The live birth rates (LBR) per PGT-M cycle were 21.5% versus 40.9% in each period, respectively (p=0.037). A sub-analysis within the PUP comparing 39 PGT-M cycles from 39 IVF cycles with 20 PGT-M cycles from 49 IVF cycles yielded CPRs per PGT-M cycle of 64.
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