RESUMO
Receptors for thyrotropin-releasing hormone (TRH) and thyrotropin (thyroid-stimulating hormone-TSH) are important regulators of the function of the TSH-producing cells of the anterior pituitary gland and the thyroid gland, respectively, and thereby play a central role in thyroid hormone homeostasis. Although the roles of TRH- and TSH-stimulated signaling in these endocrine glands are well understood, these receptors are expressed in other sites and their roles in these extraglandular tissues are less well known. Moreover, one of the two subtypes of TRH receptors (TRH-R2) and the single TSH receptor (TSHR) exhibit constitutive signaling activity and the roles of constitutive signaling by these receptors are poorly understood. One approach to studying constitutive signaling is to use inverse agonists. In this chapter, we will describe the experimental procedures used to measure constitutive signaling by TRH-R2 and TSHR and the effects of their specific inverse agonists.
Assuntos
Agonismo Inverso de Drogas , Receptores do Hormônio Liberador da Tireotropina/metabolismo , Receptores da Tireotropina/metabolismo , Animais , Linhagem Celular , Células Cultivadas , Avaliação Pré-Clínica de Medicamentos/métodos , Expressão Gênica , Genes Reporter , Humanos , Imunoensaio/métodos , Midazolam/farmacologia , Proteína Quinase C/metabolismo , Receptores da Tireotropina/genética , Receptores do Hormônio Liberador da Tireotropina/genética , Reação em Cadeia da Polimerase Via Transcriptase Reversa/métodos , Glândula Tireoide/citologia , Transfecção/métodosRESUMO
Treatment of hyperthyroidism, a common clinical condition that can have serious manifestations in the elderly, has remained essentially unchanged for >30 years. Directly antagonizing the effect of the thyroid hormone at the receptor level may be a significant improvement for the treatment of hyperthyroid patients. We built a computer model of the thyroid hormone receptor (TR) ligand-binding domain in its predicted antagonist-bound conformation and used a virtual screening algorithm to select 100 TR antagonist candidates out of a library of >250,000 compounds. We were able to obtain 75 of the compounds selected in silico and studied their ability to act as antagonists by using cultured cells that express TR. Fourteen of these compounds were found to antagonize the effect of T3 on TR with IC50s ranging from 1.5 to 30 microM. A small virtual library of compounds, derived from the highest affinity antagonist (1-850) that could be rapidly synthesized, was generated. A second round of virtual screening identified new compounds with predicted increased antagonist activity. These second generation compounds were synthesized, and their ability to act as TR antagonists was confirmed by transfection and receptor binding experiments. The extreme structural diversity of the antagonist compounds shows how receptor-based virtual screening can identify diverse chemistries that comply with the structural rules of TR antagonism.