ABSTRACT
Objective To explore risk factors of congenital malformations (CMs) and to evaluate its impacts on adverse pregnancy outcomes (APOs). Methods A prospective cohort study was conducted among pregnant women who received the first antenatal care from March 2013 to February 2016 in the reproductive center, obstetrics clinics, infertility clinics and ultrasound department of Hunan Provincial Maternal and Child Health Hospital. Corresponding information from pregnant women and their spouses were collected. Univariate and multivariate Logistic regression were used to screen possible risk factors of CMs and evaluate the impacts of CMs on other APOs. Results The study showed that women had history of non-standard BMI, smoking, hepatitis, pregnancy-related complications, gestational diabetes mellitus, infertility and using assisted reproductive technology before pregnancy; had no folic acid taking, active and passive smoking, drinking, uneven diet, high intensity physical activity during pregnancy increased the risk of CMs in offspring. Furthermore, the history of spouse smoking and eating betel nut also increased the risk of CMs in offspring. CMs might increase the risk of preterm birth, very preterm birth, low birth weight, very low birth weight, and perinatal mortality. Conclusions There are many risk factors of CMs. Knowing these risk factors, and giving them optimal prevention strategies and effective intervention measures are important measures in preventing the occurrence of CMs and other APOs.
ABSTRACT
<p><b>OBJECTIVE</b>To study the association of single nucleotide polymorphisms (SNPs) of transcription factors (NKX2.5, GATA4, TBX5, and FOG2) with congenital heart disease (CHD) in the Chinese population.</p><p><b>METHODS</b>PubMed, Google Scholar, CNKI, Wanfang Data, and Weipu Data were searched for articles on the association of SNPs of target genes with CHD in the Chinese population. If one locus was mentioned in at least two articles, the random or fixed effect model was used to perform a pooled analysis of study results and to calculate the pooled OR and its 95%CI. If a locus was mentioned in only one article, related data were extracted from this article to analyze the association between the SNPs of this locus and CHD.</p><p><b>RESULTS</b>Twenty-three articles were included. The Meta analysis showed that there were significant differences between the CHD and control groups in the genotype and allele frequencies of GATA4 rs1139244 and rs867858 and the genotype frequency of GATA4 rs904018, while there were no significant differences in the SNPs of the other genetic loci between the two groups. The single-article analysis showed that there were significant differences between the two groups in the allele frequencies of NKX2.5 rs118026695/rs703752, GATA4 rs884662/rs12825/rs12458/rs3203358/rs4841588, and TBX5 rs6489956. There were no significant differences in the SNPs of FOG2 locus between the two groups.</p><p><b>CONCLUSIONS</b>The SNPs of some loci in NKX2.5, GATA4, and TBX5 are associated with CHD in the Chinese population, but the association between the SNPs of FOG2 locus and the development of CHD has not been found yet.</p>
Subject(s)
Humans , Asian People , Genetics , DNA-Binding Proteins , Genetics , GATA4 Transcription Factor , Genetics , Genetic Predisposition to Disease , Heart Defects, Congenital , Genetics , Genetics , Polymorphism, Single Nucleotide , T-Box Domain Proteins , Genetics , Transcription Factors , GeneticsABSTRACT
To evaluate whether the in vitro fertilization-embryo transfer (IVF-ET) procedures could increases the risks of adverse pregnancy outcomes (APOs) in offspring. Methods: A hospital-based prospective cohort design was conducted, which contained a control group of singleton pregnancies with indicators of subfertility who were still conceived naturally after using simple medical treatment (e.g. minimal medical intervention or ovulation induction), and an exposure group consisted of singleton pregnancies who had a history of infertility and IVF-ET treatment. All factors different between two groups in the univariate analysis were included in the multivariable logistic regression to evaluate the independent effect of IVF-ET procedures themselves on APOs. Results: After controlling for confounding factors by using multivariate logistic regression analysis, our results showed that pregnancies after IVF-ET experienced a higher risk of preterm birth (OR=1.28, 95% CI 1.05 to 1.56), low birth weight (OR=1.69, 95% CI 1.27 to 2.31), perinatal mortality (OR=5.33, 95% CI 2.44 to 11.81), and congenital malformations (OR=1.83, 95% CI 1.12 to 2.94). Conclusion: The IVF-ET operational factors may increase the risk of APOs.