A genetic variant in the placenta-derived MHC class I chain-related gene A increases the risk of preterm birth in a Chinese population

The Role of Genetics in Preterm Birth

Preterm birth (PTB), defined as the birth of a child before 37 completed weeks gestation, affects approximately 11% of live births and is the leading cause of death in children under 5 years. PTB is a complex disease with multiple risk factors including genetic variation. Much research has aimed to establish the biological mechanisms underlying PTB often through identification of genetic markers for PTB risk. The objective of this review is to present a comprehensive and updated summary of the published data relating to the field of PTB genetics. A literature search in PubMed was conducted and English studies related to PTB genetics were included. Genetic studies have identified genes within inflammatory, immunological, tissue remodeling, endocrine, metabolic, and vascular pathways that may be involved in PTB. However, a substantial proportion of published data have been largely inconclusive and multiple studies had limited power to detect associations. On the contrary, a few large hypothesis-free approaches have identified and replicated multiple novel variants associated with PTB in different cohorts. Overall, attempts to predict PTB using single "-omics" datasets including genomic, transcriptomic, and epigenomic biomarkers have been mostly unsuccessful and have failed to translate to the clinical setting. Integration of data from multiple "-omics" datasets has yielded the most promising results.

Differential placental methylation in preeclampsia, preterm and term pregnancies

INTRODUCTION

Preeclampsia (PE) is one of the leading causes of maternal mortality and morbidity worldwide. Recently, the role of epigenetic modifications in preeclampsia has been a focus of research. This study was to identified genes or pathways that may be associated with PE, and discuss whether the changes in the methylation level of these genes is related to the pathogenesis of PE.

METHODS

The methylation levels of placental tissues between PE (n = 4), preterm birth (PB, n = 4) and term birth (TB, n = 4) were detected by Illumina Infinium HumanMethylation850 K BeadChip. Pyrosequencing and qRT-PCR were used to validated the methylation and expression levels of the genes with the most significant differences.

RESULTS

The global methylation levels of placenta tissues in PE and PB were both higher compared to TB. After eliminated the effect of gestational age, there were 808 gene probes differentially methylated in PE compared to PB. We found 137 genes with 130 genes hypermethylated and 7 genes hypomethylated. CMIP, BLCAP and MICA genes were with the most significant differential methylation. The expression level of CMIP and BLCAP were both negatively correlated to the methylation levels, while the expression level of MICA was not related to its methylation levels.

CONCLUSION

The methylation levels in placenta tissues were associated with gestational ages. We indicated the expression levels of the significantly methylated genes were negatively correlated with the methylation levels, further functional researches were still needed to find out whether they are associated with the onset of preeclampsia.

MICA-129 A/G dimorphism, its relation to soluble mica plasma level and spontaneous preterm birth: A case-control study

The aim of this case- control study was to investigate the association between preterm birth (PTB), MICA-129 A/G dimorphism and sMICA levels. Fifty pregnant women with singleton pregnancy and previous PTB, or clinic diagnostic of threatened preterm labor in the actual pregnancy, or cervical length less than 25 mm and 50 healthy pregnant women were enrolled. DNA was extracted for genotyping for MICA-129 A/G by real-time PCR and sMICA plasma level was quantified by sandwich ELISA assay. Clinical and socioeconomic characteristics, results of TaqMan® genotyping and ELISA quantification were compared between the groups using qui-square, Fisher´s exact or Mann-Whitney test. A binary logistic regression model was used to predict PTB. The correlation between MICA-129 A/G genotypes and sMICA levels was investigated. There were not statistically significant differences between MICA-129 A/G polymorphism and sMICA plasma level.There was found a correlation between MICA-129 val/val genotype and higher levels of sMICA (ρ: -0.342; p:0.001). The presence of MICA-129  val/val genotype may be influencing sMICA expression.