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Design and synthesis of a new steroid-macrocyclic derivative with biological activity.

Maria López-RamosLauro Figueroa-ValverdeSocorro Herrera-MezaMarcela Rosas-NexticapaFrancisco Díaz-CedilloElodia García-CerveraEduardo Pool-GómezRegina Cahuich-Carrillo
Published in: Journal of chemical biology (2017)
The aims of this study were to evaluate the positive inotropic effect of a new macrocyclic derivative (compound 11) and characterize the molecular mechanism involved in its biological activity. The first step was achieved by synthesis of a macrocyclic derivative involving a series of reactions for the preparation of several steroid derivatives such as (a) steroid-pyrimidinone (3 and 4), (b) steroid-amino (5), (c) steroid-imino (6), (d) ester-steroid (7 and 8), and (e) amido-steroid (9 and 10). Finally, 11 was prepared by removing the tert-butyldimethylsilane fragment of 10. The biological activity of compounds on perfusion pressure and vascular resistance was evaluated on isolated rat heart using the Langendorff model. The inotropic activity of 11 was evaluated in presence of prazosin, metoprolol, indomethacin, nifedipine, and flutamide to characterize its molecular mechanism. Theoretical experiments were carried out with a Docking model, to assess potential interactions of androgen receptor with 11. The results showed that only this macrocyclic derivative exerts changes on perfusion pressure and vascular resistance translated as the positive inotropic effect, and this effect was blocked with flutamide; these data indicate that the positive inotropic activity induced by this macrocyclic derivative was via androgen receptor activation. The theoretical results indicated that the interaction of the macrocyclic derivative with the androgen receptor involves several amino acid residues such as Leu704, Asn705, Met780, Cys784, Met749, Leu762, Phe764, Ser778, and Met787. In conclusion, all these data suggest that the positive inotropic activity of the macrocyclic derivative may depend on its chemical structure.
Keyphrases
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  • big data
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  • high resolution