Association between HLA-A gene polymorphism and early-onset preeclampsia in Chinese pregnant women early-onset

[Association between HLA-DRB1 gene polymorphisms and genetic susceptibility of early-onset severe preeclampsia]

OBJECTIVES

To explore the correlation between the single nucleotide polymorphisms (SNP) of rs3135388, rs114293611 and rs142804168 of HLA-DRB1 gene and early-onset severe preeclampsia (sPE).

METHODS

Blood samples were collected from 102 early-onset sPE mothers and their neonates (sPE group), as well as 120 normotensive mothers and their neonates (control group). Sanger sequencing was performed to compare the genotype distribution, allele frequencies, and differences in genotype distribution after maternal-infant compatibility between the two groups.

RESULTS

Statistically significant differences in genotype distribution at rs114293611 of HLA-DRB1 gene were observed between sPE and control groups in both mothers and neonates (P<0.05). The frequency of the T allele at rs114293611 was higher in the sPE group of neonates than that in the control group (P<0.05), while no significant difference was found between the two groups of mothers (P>0.05). The maternal-infant genotype compatibility analysis showed significant differences in genotype distribution between sPE and control groups (P<0.05). There were no significant differences in genotype distribution and allele frequencies at rs3135388 and rs142804168 of HLA-DRB1 gene between the two groups of mothers and neonates (P>0.05).

CONCLUSIONS

The SNP at rs114293611 of HLA-DRB1 gene may be associated with the development of early-onset sPE in mothers. Maternal-infant genotype compatibility abnormality at rs114293611 of HLA-DRB1 gene may be a predisposition factor for the development of sPE.

Integrated Metabolomic and Lipidomic Analysis in the Placenta of Preeclampsia

Preeclampsia is one of the most common severe pregnancy complications in obstetrics, which is considered a placental source disease. However, the mechanisms underlying preeclampsia remain largely unknown. In this study, UPLC-MS/MS-based metabolomic and lipidomic analysis was used to explore the characteristic placental metabolites in preeclampsia. The results revealed that there were significant changes in metabolites between preeclampsia and normotensive placentas. Weighted correlation network analysis (WGCNA) identified the correlation network module of metabolites highly related to preeclampsia and the clinical traits reflecting disease severity. The metabolic perturbations were primarily associated with glycerophospholipid and glutathione metabolism, which might influent membrane structures of organisms and mitochondria function. Using linear models, three metabolites had an area under receiver operating characteristic curves (AUROC) ≥ 0.80 and three lipids had an AUROC ≥ 0.90. Therefore, metabolomics and lipidomics may offer a novel insight for a better understanding of preeclampsia and provide a useful molecular mechanism underlying preeclampsia.

Differences in epidemiology of patients with preeclampsia between China and the US (Review)

Preeclampsia (PE) is a complex complication that occurs during pregnancy. Studies indicated that morbidity from PE exhibits marked variations among geographical areas. Disparities in the incidence of PE between China and the US may be due to differences in ethnicity and genetic susceptibility, maternal age, sexual culture, body mass index, diet, exercise, multiple pregnancies and educational background. These epidemiological differences may give rise to differences between the two countries in terms of diagnostic and therapeutic criteria for PE. PE may be largely attributed to susceptibility genes and lifestyles, such as diet, body mass index and cultural norms regarding sexual relationships. The epidemiologic differences of patients with PE between the two countries indicated that appropriate prevention plans for PE require to be developed according to local conditions.