Association between Maternal Drug Use and Cytochrome P450 Genetic Polymorphisms and the Risk of Congenital Heart Defects in Offspring.

OBJECTIVE: This study aimed to assess the associations between maternal drug use, cytochrome P450 ( CYP450) genetic polymorphisms, and their interactions with the risk of congenital heart defects (CHDs) in offspring. METHODS: A case-control study involving 569 mothers of CHD cases and 652 controls was conducted from November 2017 to January 2020. RESULTS: After adjusting for potential confounding factors, the results show that mothers who used ovulatory drugs (adjusted odds ratio [a OR] = 2.12; 95% confidence interval [ CI]: 1.08-4.16), antidepressants (a OR = 2.56; 95% CI: 1.36-4.82), antiabortifacients (a OR = 1.55; 95% CI: 1.00-2.40), or traditional Chinese drugs (a OR = 1.97; 95% CI: 1.26-3.09) during pregnancy were at a significantly higher risk of CHDs in offspring. Maternal CYP450 genetic polymorphisms at rs1065852 (A/T vs. A/A: OR = 1.53, 95% CI: 1.10-2.14; T/T vs. A/A: OR = 1.57, 95% CI: 1.07-2.31) and rs16947 (G/G vs. C/C: OR = 3.41, 95% CI: 1.82-6.39) were also significantly associated with the risk of CHDs in offspring. Additionally, significant interactions were observed between the CYP450genetic variants and drug use on the development of CHDs. CONCLUSIONS: In those of Chinese descent, ovulatory drugs, antidepressants, antiabortifacients, and traditional Chinese medicines may be associated with the risk of CHDs in offspring. Maternal CYP450 genes may regulate the effects of maternal drug exposure on fetal heart development.

[Association of maternal diabetes mellitus and UCP2 gene polymorphisms with congenital heart disease in offspring: a case-control study].

OBJECTIVE: To study the association of maternal diabetes mellitus (DM), uncoupling protein 2 (UCP2) gene polymorphisms, and their interaction with the risk of congenital heart disease (CHD) in offspring. METHODS: A hospital-based case-control study was conducted. A total of 464 mothers of children with CHD alone who were diagnosed in Hunan Children's Hospital from March 2018 to August 2019 were enrolled as the case group. A total of 504 mothers of healthy children who were hospitalized during the same period and did not have any deformity were enrolled as the control group. A questionnaire survey was performed to collect the information on exposure. Venous blood samples (5 mL) were collected from the mothers to detect UCP2 gene polymorphisms. A multivariate logistic regression analysis was used to investigate the association of maternal DM, UCP2 gene polymorphisms, and their interaction with CHD in offspring. RESULTS: After control for confounding factors, the multivariate logistic regression analysis showed that mothers with gestational DM (OR=2.96, 95%CI: 1.57-5.59), a history of gestational DM (OR=3.16, 95%CI: 1.59-6.28), and pregestational DM (OR=4.52, 95%CI: 2.41-8.50) significantly increased the risk of CHD in offspring (P<0.05). The polymorphisms of the UCP2 gene at rs659366 (T/C vs C/C: OR=1.49, 95%CI: 1.02-2.16; T/T vs C/C: OR=2.77, 95%CI: 1.67-4.62) and rs660339 (A/A vs G/G: OR=2.19, 95%CI: 1.34-3.58) were significantly associated with risk of CHD in offspring (P<0.05). The interaction analysis showed an interaction between the polymorphisms of the UCP2 gene at rs659366 and rs660339 and maternal DM in the development of CHD (P<0.05). CONCLUSIONS: Maternal DM, UCP2 gene polymorphisms, and their interaction are associated with the development of CHD in offspring.

[Association of single nucleotide polymorphisms of transcription factors with congenital heart diseases in the Chinese population: a Meta analysis].

OBJECTIVE: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.