Glycolytic enzyme expression in human granulosa cells

A mixture of persistent organic pollutants detected in human follicular fluid increases progesterone secretion and mitochondrial activity in human granulosa HGrC1 cells

Disruption of granulosa cells (GCs), the main functional cells in the ovary, is associated with impaired female fertility. Epidemiological studies demonstrated that women have detectable levels of organic pollutants (e.g., perfluorooctanoate, perfluorooctane sulfonate, 2,2-dichlorodiphenyldichloroethylene, polychlorinated biphenyl 153, and hexachlorobenzene) in their follicular fluid (FF), and thus these compounds may directly affect the function of GCs in the ovary. Considering that humans are exposed to multiple pollutants simultaneously, we elucidated the effects of a mixture of endocrine-disrupting chemicals (EDCs) on human granulosa HGrC1 cells. The EDC mixture directly increased progesterone secretion by upregulating 3β-hydroxysteroid dehydrogenase (3βHSD) expression. Furthermore, the EDC mixture increased activity of mitochondria, which are the central sites for steroid hormone biosynthesis, and the ATP content. Unexpectedly, the EDC mixture reduced glucose transporter 4 (GLUT4) expression and perturbed glucose uptake; however, this did not affect the glycolytic rate. Moreover, inhibition of GLUT1 by STF-31 did not alter the effects of the EDC mixture on steroid secretion but decreased basal estradiol secretion. Taken together, our results demonstrate that the mixture of EDCs present in FF can alter the functions of human GCs by disrupting steroidogenesis and may thus adversely affect female reproductive health. This study highlights that the EDC mixture elicits its effects by targeting mitochondria and increases mitochondrial network formation, mitochondrial activity, and expression of 3βHSD, which is associated with the inner mitochondrial membrane.

Molecular characterisation and expression profiling of the ENO1 gene in the ovarian follicle of the Sichuan white goose

The ENO1 gene encodes a multifunctional enzyme that has been identified as a key component of the glycolytic pathway. Our previous studies demonstrated that ENO1 gene expression was higher in the ovaries of laying geese compared with prelaying geese. However, the molecular characterisation and expression profiling of the ENO1 gene in geese tissues and ovarian follicles remain to be determined. In this study, ENO1 cDNA (1,445 bp long) of the Sichuan white goose was cloned and characterised. The ORF of ENO1 cDNA is 1,305 bp in length and encodes a 434 amino acid protein with a molecular weight of 47.27 kDa. ENO1 expression in all of the examined tissues was the highest in spleen and the lowest in breast muscle. High expression of ENO1 appeared in the kidney, liver, adrenal gland, and retina. With increasing follicle growth, ENO1 gene expression began to decrease from the small white follicle to F5, which was followed by a sharp increase in expression in F4 and then a gradual decrease in expression from F3 to F1. Furthermore, in the postovulatory follicles (POF), the levels of ENO1 gene expression decreased gradually from POF1 to POF4. In conclusion, the ENO1 transcript was widely distributed in various tissues of the Sichuan white goose, but ENO1 expression was tissue-specific. Furthermore, the results of the ENO1 expression profiling of ovarian follicles suggest that ENO1 may play an important dual role in the progress of follicular development, where ENO1 acts as a glycolytic enzyme and also mediates apoptosis.

Differentially expressed plasma microRNAs in premature ovarian failure patients and the potential regulatory function of mir-23a in granulosa cell apoptosis

Recent studies implicate the regulatory function of microRNAs (miRNAs) in oocyte maturation and ovarian follicular development. Differentially expressed miRNAs are found in the plasma of premature ovarian failure (POF) patients and normal cycling women. In this study, miRNA-regulated signaling pathways and related genes were described using Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes pathway analysis. The effect of mir-23a on granulosa cell apoptosis was also studied by examining the protein expression of X-linked inhibitor of apoptosis protein (XIAP) and caspase-3, followed by subsequent counting of apoptotic cells after Hoechst 33258 staining. Both GO analysis and pathway analysis suggested that many signaling pathways, including the AKT signaling pathway, steroid hormone receptor signaling pathways, and others, were regulated by this group of differentially expressed miRNAs. A decrease in XIAP expression (mRNA and protein level) and caspase-3 protein levels and an increase in cleaved caspase-3 protein were observed in human ovarian granulosa cells transfected with pre-mir-23a, along with an increased occurrence of apoptosis. In conclusion, differentially expressed miRNAs in the plasma of POF patients may have regulatory effects on proliferation and apoptosis of granulosa cells by affecting different signaling pathways. Mir-23a may play important roles in regulating apoptosis via decreasing XIAP expression in human ovarian granulosa cells.

Gonadotropins up-regulate the expression of enolase 2, but not enolase 1, in the rat ovary

It has been demonstrated that the glycolytic enzymes, enolase 1 (ENO1) and enolase 2 (ENO2), are expressed in the rat ovary. In the present study, we found that mRNA levels of ovarian ENO2 but not ENO1 in normal cycling adult female rats changed significantly during the estrous cycle: ovarian ENO2 mRNA levels at metestrus were lower than those at estrus. Single injection of human CG (hCG) or equine CG (eCG) into immature (3 week old) rats up-regulated ovarian expression of ENO2. hCG mainly increased ENO2 expression in oocytes and theca cells of preantral and antral follicles, and eCG did in theca cells of these follicles. In contrast, hCG and eCG did not affect the expression of ENO1, which was mainly expressed in granulosa cells. These results suggest that endogenous gonadotropins up-regulate expression of ENO2 in oocytes and theca cells of preantral and antral follicles, which would activate glycolysis in these cells. It is also suggested that the activated glycolysis is necessary for ovarian functions such as follicle growth and maturation, and hormone production.

Genomic assessment of follicular marker genes as pregnancy predictors for human IVF

Embryo selection efficiency in human IVF procedure is still suboptimal as shown by low pregnancy rates with single embryo transfer (SET). Bidirectional communication between the oocyte and follicular cells (FC) is essential to achieve developmental competence of the oocyte. Differences in the gene expression profile of FCs from follicles leading to pregnancy could provide useful markers of oocyte developmental competence. FCs were recovered by individual follicle puncture. FC expression levels of potential markers were assessed by Q-PCR with an intra-patient and an inter-patient analysis approach. Using gene expression, a predictive model of ongoing pregnancy was investigated. Using intra-patient analysis, four candidate genes, phosphoglycerate kinase 1 (PGK1), regulator of G-protein signalling 2 (RGS2), regulator of G-protein signalling 3 (RGS3) and cell division cycle 42 (CDC42) showed a difference between FCs from follicles leading to a pregnancy or developmental failure. The best predictors for ongoing pregnancy were PGK1 and RGS2. Additionally, inter-patient analysis revealed differences in FC expression for PGK1 and CDC42 between follicles leading to a transferred embryo with positive pregnancy results and those with negative results. Both inter-patient and intra-patient approaches must be taken into consideration to delineate gene expression variations in the context of follicular competence. A predictor model using biomarkers could improve the efficiency of predicting developmental competence of oocytes. These new approaches provide useful tools in the context of embryo selection and in the improvement of pregnancy rates with SET.