Examination of methods for manipulating serum 17β-Estradiol (E2) levels by analysis of blood E2 concentration in medaka (Oryzias latipes)

It is widely known that reproduction in vertebrates is regulated by the hypothalamus-pituitary-gonadal (HPG) axis. Although the mechanism of the HPG axis has been well documented in mammals, it cannot be always applied to that in non-mammalian species, which is a great disadvantage in understanding reproduction of vertebrates in general. Recently, transgenic and genome editing tools have rapidly been developed in small teleosts, and thus these species are expected to be useful for the understanding of general mechanism of reproduction in vertebrates. One of the major sex steroid hormones in female vertebrates 17β-Estradiol (E2) plays crucial roles in the formation of sexual dimorphism and the HPG axis regulation. In spite of the importance of E2 in reproductive regulation, only a few studies have analyzed blood E2 levels in small teleosts that are easily amenable to genetic manipulation. In the present study, we analyzed blood E2 concentration in medaka and demonstrated that female medaka show diurnal changes in blood E2 concentration. We then examined the best method for manipulating the circulating E2. First, we found that ovariectomy (OVX) drastically removes endogenous E2 in a day in female medaka. We examined different methods for E2 administration and revealed that feeding administration of E2-containing food is the most convenient and physiological method for mimicking the diurnal E2 changes of female medaka. On the other hand, the medaka exposed to E2 containing water showed high blood E2 concentrations, which exceeds those of environmental water, suggesting that E2 may cause bioconcentration.

Effects of sex hormones on liver tumor progression and regression in Myc/xmrk double oncogene transgenic zebrafish

Hepatocellular carcinoma (HCC) shows clear sex disparity with men being more prone to developing HCC and having higher mortality than women. Previous studies have indicated that sex hormones play important roles in HCC initiation and development, but the effects of sex hormones on HCC in clinical trials remain inconsistent. Using zebrafish liver tumor model co-induced by oncogenes Myc and xmrk, we observed similar sex disparity between male and female zebrafish in liver tumor progression and regression; i.e. male Myc/xmrk transgenic zebrafish developed HCC significantly faster and regressed HCC significantly slower than female Myc/xmrk transgenic zebrtafish. To investigate the effects of sex hormones on liver tumor progression and regression, Myc/xmrk fish were treated with either androgen or estrogen, we observed that androgen promoted HCC progression and retarded HCC regression in females, while estrogen attenuated HCC progression and accelerated HCC regression in males. Furthermore, androgen promoted cell proliferation while estrogen inhibited it. Overall, the present study suggested that sex hormones affected liver tumor progression and regression in the Myc/xmrk transgenic zebrafish.

Transcriptional activation of Nlp by estrogen-ERα in breast cancer

Estrogen Receptor-α (ERα) is the key transcription factor that regulates cell proliferation and homeostasis. In this pathway, estrogen plays an important role in genomic instability and cell cycle regulation processes and the mechanisms of its action are multifaceted. In this study, we showed that estrogen regulates genomic instability through promoting the expression of Nlp, a BRCA1-associated centrosomal protein which is involved in microtubule nucleation, spindle formation, chromosomal missegregation and abnormal cytokinesis. We demonstrated that the expression of Nlp is strongly associated with ERα and FOXA1 level in clinical breast cancer samples with poor clinical outcomes to breast cancer patients. Addition of estrogen in the ER-positive breast cancer cells resulted in elevation of NLP mRNA. Significantly, we identified that estrogen-ERα is capable of regulating Nlp expression through specifically binding ERα to the proximal region and the Estrogen Responsive Elements (ERE) enhancer in the distal region of NLP gene. Reporter assays demonstrated that estrogen directly activated Nlp promoter. ChIP assay results showed that E2-ERα directly bound to the EREs of Nlp. Therefore, overexpression of Nlp in breast cancer exhibits a hormone-dependent pattern, and estrogen participates in the regulation of genome instability and cell cycle in breast cancer cells partially through transcriptional activation of NLP gene. Overexpression of Nlp enhances the malignant progression of ERα-positive breast cancer cells in vitro, whereas knockdown of Nlp suppresses this biological effects in ERα-positive breast cancer cells. ERα/Nlp axis may serve as a promising target against breast cancer.

Laccase-catalyzed reactions of 17β-estradiol in the presence of humic acid: Resolved by high-resolution mass spectrometry in combination with (13)C labeling

The widespread presence of estrogens in natural waters poses potential threats to the aquatic organisms and human health. It is known that estrogens undergo enzyme-catalyzed oxidative coupling (ECOC) reactions, which may impact their environmental fate and can be used in wastewater treatment to remove estrogens, but little information is available on how natural organic matter (NOM) may influence 17β-estradiol (E2) transformation in ECOC processes. A series of experiments were conducted to examine the transformation of E2 in aqueous solution containing humic acid (HA) as model NOM by laccase-mediated ECOC reactions. The impact of HA on the reaction behaviors and product distribution is systematically characterized. The presence of HA inhibited the extent of E2 self-coupling in laccase-mediated systems, while promoted cross-coupling between E2 and HA. Reconfiguration of humic molecules was also observed and characterized by changes in absorbance at 275 nm and the ratios between A250 nm/A365 nm. In particular, experiments were conducted with un-labeled E2 mixed with (13)C3-labeled E2 at a set ratio, with the products probed using high-resolution mass spectrometry (HRMS). The high m/z accuracy of HRMS enabled the use of isotope ratio as a tracer to identify possible cross-coupling products between E2 and HA. Such a method combining HRMS and isotope labeling provides a novel means for identification of products in a reaction system involving NOM or other complex matrices. These findings provide a basis for optimization of ECOC reactions for estrogen removal, and also help to understand the environmental transformation of estrogens.

Aptamers targeting different functional groups of 17β-estradiol

Aptamers, short synthetic ssDNA or RNA molecules with a specific three-dimensional structure, are promising recognition elements in biosensor technology. In vitro generation of aptamers with high sensitivity and specificity toward a broad range of analytes has been achieved using the systematic evolution of ligands by exponential enrichment (SELEX) process. This iterative pathway of aptamer generation consists of sequential positive and counterselection steps. The present research aimed to select two sets of ssDNA aptamers which both are able to bind to different functional groups on the cyclopentanoperhydrophenanthrene ring of 17β-estradiol (E2). By repetitively switching between positive selection steps using E2 as target molecule and counterselection steps with nortestosterone as countermolecule, aptamers were successfully selected against the hydroxylated aromatic A ring of E2. Additionally, an aptamer which binds the upper segments of the B, C and D ring of the cyclopentanoperhydrophenanthrene ring of E2 was generated after repetitively swapping between positive selection steps with E2 as target molecule and counterselection steps with dexamethasone as countermolecule. Epitope specificity of the aptamers was demonstrated by evaluating their binding responses toward a number of steroid hormones structurally related to E2. The selected aptamers with affinities for different functional groups of E2 can potentially be applied to develop a cross-reactive aptasensor. This aptasensor introduces a promising tool for the future of in-field real-time monitoring of a wide range of steroid hormones.

Insights into significant pathways and gene interaction networks underlying breast cancer cell line MCF-7 treated with 17β-estradiol (E2)

OBJECTIVE

Estrogens are known to regulate the proliferation of breast cancer cells and to alter their cytoarchitectural and phenotypic properties, but the gene networks and pathways by which estrogenic hormones regulate these events are only partially understood.

METHODS

We used global gene expression profiling by Affymetrix GeneChip microarray analysis, with KEGG pathway enrichment, PPI network construction, module analysis and text mining methods to identify patterns and time courses of genes that are either stimulated or inhibited by estradiol (E2) in estrogen receptor (ER)-positive MCF-7 human breast cancer cells.

RESULTS

Of the genes queried on the Affymetrix Human Genome U133 plus 2.0 microarray, we identified 628 (12h), 852 (24h) and 880 (48 h) differentially expressed genes (DEGs) that showed a robust pattern of regulation by E2. From pathway enrichment analysis, we found out the changes of metabolic pathways of E2 treated samples at each time point. At 12h time point, the changes of metabolic pathways were mainly focused on pathways in cancer, focal adhesion, and chemokine signaling pathway. At 24h time point, the changes were mainly enriched in neuroactive ligand-receptor interaction, cytokine-cytokine receptor interaction and calcium signaling pathway. At 48 h time point, the significant pathways were pathways in cancer, regulation of actin cytoskeleton, cell adhesion molecules (CAMs), axon guidance and ErbB signaling pathway. Of interest, our PPI network analysis and module analysis found that E2 treatment induced enhancement of PRSS23 at the three time points and PRSS23 was in the central position of each module. Text mining results showed that the important genes of DEGs have relationship with signal pathways, such as ERbB pathway (AREG), Wnt pathway (NDP), MAPK pathway (NTRK3, TH), IP3 pathway (TRA@) and some transcript factors (TCF4, MAF).

CONCLUSIONS

Our studies highlight the diverse gene networks and metabolic and cell regulatory pathways through which E2 operates to achieve its widespread effects on breast cancer cells.