A new series of estrogen receptor modulators that display selectivity for estrogen receptor beta

A series of 1,3,5-triazine-based estrogen receptor (ER) modulators that are modestly selective for the ERbeta subtype are reported. Compound 1, which displayed modest potency and selectivity for ERbeta vs ERalpha, was identified via high-throughput screening utilizing an ERbeta SPA-based binding assay. Subsequent analogue preparation resulted in the identification of compounds such as 21 and 43 that display 25- to 30-fold selectivity for ERbeta with potencies in the 10-30 nM range. These compounds profile as full antagonists at ERbeta and weak partial agonists at ERalpha in a cell-based reporter gene assay. In addition, the X-ray crystal structure of compound 15 complexed with the ligand binding domain of ERbeta has been solved and was utilized in the design of more conformationally restrained analogues such as 31 in an attempt to increase selectivity for the ERbeta subtype.     

A beta-lactamase-dependent Gal4-estrogen receptor beta transactivation assay for the ultra-high throughput screening of estrogen receptor beta agonists in a 3456-well format

Estrogen action is mediated via two estrogen receptor (ER) subtypes, ERalpha and ERbeta. Selective ER modulators with balanced high affinity for ERalpha and ERbeta have been developed as therapeutics for the treatment of a variety of diseases, including hormone-responsive breast cancer and osteoporosis. Recent data based primarily on the evaluation of ER-knockout mice have revealed that ERalpha and ERbeta may regulate separate and distinct biological processes. The identification of ERbeta specific ligands could further enhance our understanding of ERbeta biology. In addition, compounds targeting ERbeta may prove useful as therapeutic agents with activity profiles distinguishable from that of estradiol. To discover novel selective ligands for ERbeta, we developed and characterized a cell-based Gal4-ERbeta beta-lactamase reporter gene assay (GERTA) in CHO cells for the ligand-induced activation of the human ERbeta. The sensitivity and selectivity of this assay were found to be comparable to those of an ER ligand-binding assay. The assay was optimized for screening in an ultra high throughput 3456-well nanoplate format and was successfully used to screen a large compound collection for ERbeta agonists. Compounds identified in a primary screen were tested in an in vitro ligand-binding assay to characterize further the selectivity and potency for ERbeta.     

Phytoestrogens and their human metabolites show distinct agonistic and antagonistic properties on estrogen receptor alpha (ERalpha) and ERbeta in human cells.

Phytoestrogens exert pleiotropic effects on cellular signaling and show some beneficial effects on estrogen-dependent diseases. However, due to activation/inhibition of the estrogen receptors ERalpha or ERbeta, these compounds may induce or inhibit estrogen action and, therefore, have the potential to disrupt estrogen signaling. We performed a comprehensive analysis and potency comparison of phytoestrogens and their human metabolites for ER binding, induction/suppression of ERalpha and ERbeta transactivation, and coactivator recruitment in human cells. The soy-derived genistein, coumestrol, and equol displayed a preference for transactivation of ERbeta compared to ERalpha and were 10- to 100-fold less potent than diethylstilbestrol. In contrast, zearalenone was the most potent phytoestrogen tested and activated preferentially ERalpha. All other phytoestrogens tested, including resveratrol and human metabolites of daidzein and enterolactone, were weak ER agonists. Interestingly, the daidzein metabolites 3',4',7-isoflavone and 4',6,7-isoflavone were superagonists on ERalpha and ERbeta. All phytoestrogens tested showed reduced potencies to activate ERalpha and ERbeta compared to diethylstilbestrol on the estrogen-responsive C3 promoter compared to a consensus estrogen response element indicating a degree of promoter dependency. Zearalenone and resveratrol were antagonistic on both ERalpha and ERbeta at high doses. The phytoestrogens enhanced preferentially recruitment of GRIP1 to ERalpha similar to 17beta-estradiol. In contrast, for ERbeta no distinct preference for one coactivator (GRIP1 or SRC-1) was apparent and the overall coactivator association was less pronounced than for ERalpha. Due to their abundance and (anti)-estrogenic potencies, the soy-derived isoflavones, coumestrol, resveratrol, and zearalenone would appear to have the potential for effectively functioning as endocrine disruptors.     

Molecular structural characteristics as determinants of estrogen receptor selectivity

Recent reports that a wide variety of natural and man-made compounds are capable of competing with natural hormones for estrogen receptors serve as timely examples of the need to advance screening techniques to support human health and ascertain ecological risk. Quantitative structure-activity relationships (QSARs) can potentially serve as screening tools to identify and prioritize untested compounds for further empirical evaluations. Computer-based QSAR molecular models have been used to describe ligand-receptor interactions and to predict chemical structures that possess desired pharmacological characteristics. These have recently included combined and differential relative binding affinities of potential estrogenic compounds at estrogen receptors (ER) alpha and beta. In the present study, artificial neural network (ANN) QSAR models were developed that were able to predict differential relative binding affinities of a series of structurally diverse compounds with estrogenic activity. The models were constructed with a dataset of 93 compounds and tested with an additional dataset of 30 independent compounds. High training correlations (r(2)=0.83-0.91) were observed while validation results for the external compounds were encouraging (r(2)=0.62-0.86). The models were used to identify structural features of phytoestrogens that are responsible for selective ligand binding to ERalpha and ERbeta. Numerous structural characteristics are required for complexation with receptors. In particular, size, shape and polarity of ligands, heterocyclic rings, lipophilicity, hydrogen bonding, presence of quaternary carbon atom, presence, position, length and configuration of a bulky side chain, were identified as the most significant structural features responsible for selective binding to ERalpha and ERbeta.     

Non-steroidal subtype selective estrogens

The biological effects of estrogens are thought to be mediated by two receptors referred to as ERalpha and ERbeta. In recent years significant efforts have been devoted to the design of subtype selective ligands. These ligands are valuable tools to establish the precise biological role of each of the subtypes and to develop new generations of therapeutics. The first part of this review briefly summarizes the biology behind the estrogen receptors. The second part addresses the structure-activity relationship of the subtype selective ER ligands that were reported up to now. In the third part, the current insights in the therapeutic prospects of the subtype selective estrogens will be discussed.     

Toward selective ERbeta agonists for central nervous system disorders: synthesis and characterization of aryl benzthiophenes

In an effort to identify selective ligands for the estrogen receptor subtype ERbeta, a series of aryl benzthiophenes was synthesized. In a radioligand binding assay and reporter gene assays in HeLa and SH-SY5Y cells, compounds were characterized as ERbeta-selective agonists. By targeting ERbeta in the brain, these compounds could lead to drugs able to separate the beneficial effects of estrogens on mood, learning, and memory from side effects such as the stimulation of endometrial and breast cancer.     

Target specific virtual screening: optimization of an estrogen receptor screening platform

In this work, we introduce a four-step scoring and filtering procedure, furnishing target specific virtual screening (TS-VS), which serves to minimize false positives resulting from conformational artifacts of the docking process and is optimized to converge on novel chemotypes of estrogen receptor alpha (ERalpha). As a proof of concept, VS of a commercial compound database was undertaken (SPECs database release: Aug 2005, 202 054 compounds in total), resulting in the identification of both previously known and novel putative ER scaffolds. Application of distance constraints within TS-VS allowed facile identification of three novel active ligands with ERalpha binding affinities (IC50) of 1.4 microM, 57 nM, and 53 nM. Importantly, they all exhibited ERalpha over ERbeta selectivity, with the most selective being 17-fold. The ligands also displayed low micomolar antiproliferative activity (7-15 microM) in the human MCF-7 breast cancer cell line.     

Functional characterization of estrogen receptor subtypes, ERalpha and ERbeta, mediating vitellogenin production in the liver of rainbow trout

The estrogen-dependent process of vitellogenesis is a key function on oviparous fish reproduction and it has been widely used as an indicator of xenoestrogen exposure. The two estrogen receptor (ER) subtypes, ERalpha and ERbeta, are often co-expressed in the liver of fish. The relative contribution of each ER subtype to modulate vitellogenin production by hepatocytes was studied using selected compounds known to preferentially interact with specific ER subtypes: propyl-pyrazole-triol (PPT) an ERalpha selective agonist, methyl-piperidino-pyrazole (MPP) an ERalpha selective antagonist, and diarylpropionitrile (DPN) an ERbeta selective agonist. First, the relative binding affinity of the test compounds to estradiol for rainbow trout hepatic nuclear ER was determined using a competitive ligand binding assay. All the test ligands achieved complete displacement of specific [(3)H]-estradiol binding from the nuclear ER extract. This indicates that the test ligands have the potential to modify the ER function in the rainbow trout liver. Secondly, the ability of the test compounds to induce or inhibit vitellogenin production by primary cultures of rainbow trout hepatocytes was studied. Estradiol and DPN were the only compounds that induced a dose-dependent increase on vitellogenin synthesis. The lack of vitellogenin induction by PPT indicates that ERalpha could not have a role on this reproductive process whereas the ability of DPN to induce vitellogenin production supports the participation of ERbeta. In addition, this hypothesis is reinforced by the results obtained from MPP plus estradiol. On one hand, the absence of suppressive activity of MPP in the estradiol-induced vitellogenin production does not support the participation of ERalpha. On the other hand, once blocked ERalpha with MPP, the only manifestation of agonist activity of estradiol would be achieved via ERbeta. In conclusion, the present results indicate that vitellogenin production is mainly mediated through ERbeta, implying, furthermore that compounds which only exhibit ERalpha selectivity are not detected by vitellogenin bioassay.     

Estrogen receptor beta agonists in neurobehavioral investigations

Neurobehavioral investigations into the functions of estrogen receptor (ER)alpha and ERbeta have utilized 'knockout' mice, phytoestrogens and, more recently, ER-specific agonists. Feeding, sexual, aggressive and social behavior, anxiety, depression, drug abuse, pain perception, and learning (and associated synaptic plasticity) are affected by ERalpha and ERbeta in a manner that is dependent upon the specific behavior studied, gender and developmental stage. Overall, ERalpha and ERbeta appear to function together to foster sociosexual behavior while inhibiting behaviors that, if occurring at the time of behavioral estrous, may compete with reproduction (eg, feeding). Recently developed pharmacological tools have limited selectivity and availability to the research community at large, as they are not commercially available. The development of highly selective, commercially available ERbeta-specific antagonists would greatly benefit preclinical and applied research.