Reduced expression of follicle stimulating hormone receptor mRNA and protein in pregnancies complicated by pre-eclampsia

Prediction of Differentially Expressed Genes and a Diagnostic Signature of Preeclampsia via Integrated Bioinformatics Analysis

Background

Preeclampsia (PE), which has a high incidence rate worldwide, is a potentially dangerous syndrome to pregnant women and newborns. However, the exact mechanism of its pathogenesis is still unclear. In this study, we used bioinformatics analysis to identify hub genes, establish a logistic model, and study immune cell infiltration to clarify the physiopathogenesis of PE.

Methods

We downloaded the GSE75010 and GSE10588 datasets from the GEO database and performed weighted gene coexpression network analysis (WGCNA) as well as Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. The online search tool for the retrieval of interacting genes and Cytoscape software were used to identify hub genes, which were then used to establish a logistic model. We also analyzed immune cell infiltration. Finally, we verified the expression of the genes included in the predictive model via RT-PCR.

Results

A total of 100 and 212 differently expressed genes were identified in the GSE75010 and GSE10588 datasets, respectively, and after overlapping with WGCNA results, 17 genes were identified. KEGG and GO analyses further indicated the involvement of these genes in bioprocesses, such as gonadotropin secretion, immune cell infiltration, and the SMAD and MAPK pathways. Additionally, protein-protein interaction network analysis identified 10 hub genes, six (FLT1, FLNB, FSTL3, INHA, TREM1, and SLCO4A1) of which were used to establish a logistic model for PE. RT-PCR analysis also confirmed that, except FSTL3, these genes were upregulated in PE. Our results also indicated that macrophages played the most important role in immune cell infiltration in PE.

Conclusion

This study identified 10 hub genes in PE and used 6 of them to establish a logistic model and also analyzed immune cell infiltration. These findings may enhance the understanding of PE and enable the identification of potential therapeutic targets for PE.

Effects of LH and FSH on androgen and oestrogen release in the myometrium of pigs during the oestrous cycle and early pregnancy

The porcine myometrium possesses steroidogenic activity. LH and FSH are hypothesised to regulate the myometrial production of androstenedione (A4), testosterone (T), oestrone (E1) and 17β-oestradiol (E2). In this study, we used myometrium collected from cycling (n=15) and pregnant (n=15) pigs on Days 10-11, 12-13 and 15-16 of the oestrous cycle or pregnancy to determine: (1) the abundance of LH and FSH receptor (LH/choriogonadotrophin receptor (CGR) and FSHR) mRNA and protein; (2) activity of 17β-hydroxysteroid dehydrogenase 1 (17βHSD1); and (3) A4, T, E1 and E2 release in response to LH and FSH treatment, used at doses 10 or 100ng mL-1 for 6h. In results, the myometrium possesses LH/CGR and FSHR with minor alterations in their expression in the course of the oestrous cycle or early pregnancy. 17βHSD1 activity was the highest on Days 12-13 of the oestrous cycle and the lowest on Days 15-16 of the oestrus cycle and pregnancy, when compared to the other studied days of the oestrous cycle or pregnancy. The LH and FSH treatment increased A4 release on Days 12-13 of the oestrous cycle, and E1 and E2 release on Days 15-16 of the oestrous cycle. Moreover, on Days 12-13 E2 release was increased in response to FSH treatment (100ng mL-1) in cycling pigs and in response to LH (100ng mL-1) in pregnant pigs. In conclusion, the myometrium of pregnant and non-pregnant pigs expresses LH/CGR and FSHR and has 17βHSD1 activity. In addition, the amount of A4, E1, and E2 release from the myometrium is altered in response to LH and FSH, especially in cycling pigs. LH and FSH appear to be important regulators of myometrial oestrogen release in pigs mostly during luteolysis.