A predictive model for high-quality blastocyst based on blastomere number, fragmentation, and symmetry.

PURPOSE: The aim of this study was to create a predictive model for high-quality blastocyst progression based on the traditional morphology parameters of embryos. METHODS: A total of 1564 embryos from 234 women underwent conventional in vitro fertilization and were involved in the present study. High-quality blastocysts were defined as having a grade of at least 3BB, and all embryos were divided based on the development of high-quality blastocysts (group HQ) or the failure to develop high-quality blastocysts (group NHQ). A retrospective analysis of day-3 embryo parameters, focused on blastomere number, fragmentation, the presence of a vacuole, symmetry, and the presence of multinucleated blastomeres was conducted. RESULTS: All parameters were related to high-quality blastocysts (p < 0001) in t tests, chi-square tests, or Fisher tests. The individual scores for all parameters were determined according to their distributions and corresponding rates of forming high-quality blastocysts. Parameters are indicated by s_bn (blastomere number), s_f (fragmentation), s_pv (presence of a vacuole), s_s (symmetry), and s_MNB (multinucleated blastomeres). Subsequently, univariate and multivariate logistic regression analyses were conducted to explore their relationship. In the multivariate logistic regression analysis, a predictive model was constructed, and a parameter Hc was created based on the s_bn, s_f, and s_s parameters and their corresponding odds ratios. The value of Hc in group HQ was significantly higher than that in group NHQ. A receiver operating characteristic curve was used to test the effectiveness of the model. An area under the curve of 0.790, with a 95% confidence interval of 0.766-0.813, was calculated. A dataset was used to validate the predictive utility of the model. Moreover, another dataset was used to ensure that the model can be applied to predict the implantation of day-3 embryos. CONCLUSIONS: A predictive model for high-quality blastocysts was created based on blastomere number, fragmentation, and symmetry. This model provides novel information on the selection of potential embryos.

Associations of Common Single Nucleotide Polymorphisms in miR-34b/c and miR-499 with Male Infertility Caused by Oligospermia or Azoospermia in the Chinese Population.

Aims: The present study was designed to survey the associations between polymorphisms of the common single nucleotide polymorphism (SNP) rs4938723 in the miR-34b/c gene, as well as the rs3746444 SNP in the miR-499 gene, and impairment of spermatogenesis leading to oligospermia and azoospermia in the Chinese population. Subjects and Methods: Specimens were collected from four hundred seventeen infertile men with oligospermia or azoospermia and 234 controls for this investigation. Polymerase chain reaction and restriction fragment length polymorphism analyses was used for genotyping the rs4938723 and rs3746444 SNPs. A chi-square analysis was used to compare the differences in allelic and genotypic frequencies between patients and controls. Results: The distribution of alleles at the rs3746444 locus of the miR-499 gene in patients was not significantly different from controls. There were, however, significant differences in the genotypic (p = 0.040) and allelic (p = 0.021) distributions of the rs4938723 SNPs between patients with oligospermia and controls. The CC genotype at the rs4938723 locus was significantly higher in in patients with oligospermia than controls (13.9% vs. 7.3%, p = 0.016, odds ratio = 2.064, 95% confidence interval 1.132-3.764). Conclusion: The CC genotype of the rs4938723 locus in the miR-34b/c gene may enhance susceptibility to oligospermia.

Association of the common SNPs in RNF212, STAG3 and RFX2 gene with male infertility with azoospermia in Chinese population.

OBJECTIVE: The aim of this study was to explore the association between the SNP rs4045481 in RNF212 gene, rs1050482 and rs11531577 in STAG3 gene as well as rs2288846 in RFX2 gene and male infertility with azoospermia in Chinese population. STUDY DESIGN: Two hundreds and twenty infertile patients with azoospermia and 248 fertile men were recruited in the present study. The four SNPs investigated were genotyped using polymerase chain reaction and restriction fragment length polymorphism assay. The differences in allelic and genotypic frequencies between patients and controls were evaluated by chi-square test. RESULTS: No significant differences in allele and genotype frequencies of SNP rs1050482 and rs11531577 in STAG3 gene as well as rs2288846 in RFX2 gene between patients with azoospermia and controls were observed. However, the frequencies of allele C(43.6% vs. 34.1%, P = 0.003, OR = 1.498, 95% CI 1.150-1.192) and genotype CC (24.6% vs. 12.0%, P = 0.001, OR = 2.346, 95% CI 1.448-3.858) were significantly higher in patients with azoospermia than those in controls at the rs4045481 locus in RNF212 gene. CONCULUSION: The polymorphism of SNP rs4045481 in RNF212 gene might be associated with azoospermia and genotype CC of this SNP may be a risk factor of azoospermia.

The effects of maternal cigarette smoking on pregnancy outcomes using assisted reproduction technologies: An updated meta-analysis.

There is strong evidence indicating that smoking has negative effects on female reproductive health. Studies to investigate the effects of female smoking on IVF outcomes have been conducted by several research groups, yet the results are controversial. To evaluate the impacts of female smoking on the outcomes of assisted reproduction, a meta-analysis was performed, which included studies published in English up to September 6, 2017 from the MEDLINE, EMBASE, and Cochrane library databases. Twenty-eight studies encompassing 5009 female smokers seeking assisted reproduction and 10,078 non-smokers were used in this meta-analysis. Significant negative outcomes were detected in the female smokers compared with non-smokers including decreases in live birth rate per cycle (OR=0.52, 95% CI 0.37-0.74), in clinical pregnancy rate per cycle (OR 0.59, 95% CI 0.51-0.68), in number of retrieved oocytes (MD=-0.87, 95% CI -1.39 to -0.25), and in average fertilization rate (MD=-4.80, 95% CI -8.49 to -2.02), as well as a significantly increased miscarriage rate per pregnancy (OR=2.48, 95% CI 1.79-3.43). In conclusion, the current meta-analysis provides compelling evidence that female smoking has a significantly negative impact on the outcomes of assisted reproductive technology (ART) and strongly recommends that female smokers will greatly benefit from a smoking cessation before employing ART to become pregnant.

The polymorphism G4C14-to-A4T14 in p73 gene may affect the susceptibility to male infertility with severe spermatogenesis impairment in Chinese population.

OBJECTIVE: The aim of this study was to explore the association between the polymorphism G4C14-to-A4T14 in the p73 gene and male infertility with severe spermatogenesis impairment in Chinese population. STUDY DESIGN: Three hundreds and one infertile patients with severe spermatogenesis impairment (including azoospermia and severe oligospermia) and 252 fertile men were recruited in this study. The polymorphism G4C14-to-A4T14 in the p73 gene was genotyped using polymerase chain reaction and restriction fragment length polymorphism assay. The differences in allelic and genotypic frequencies between patients and controls were evaluated by chi-square test. RESULTS: The frequency of allele AT (28.9% vs. 22.4%, P=0.017, OR=1.41, 95% CI=1.07-1.85) in patients with severe spermatogenesis impairment was significantly higher than that in controls, whereas the genotype GC/GC was significantly decreased in patients compared with controls (48.5% vs. 59.1%, P=0.048, OR=0.65, 95% CI=0.46-0.91). CONCULUSION: The findings of this study suggested that the polymorphism G4C14-to-A4T14 in p73 gene might be associated with severe spermatogenesis impairment and could affect the susceptibility to male infertility with severe spermatogenesis impairment in Chinese population.