| Literature DB >> 33525510 |
Theo Battista1,2, Gianmarco Pascarella1,2, David Sasah Staid1,2, Gianni Colotti1, Jessica Rosati3, Annarita Fiorillo2, Alessia Casamassa3,4, Angelo Luigi Vescovi3, Barbara Giabbai5, Marta Stefania Semrau5,6, Sergio Fanelli7, Paola Storici5, Ferdinando Squitieri7, Veronica Morea1, Andrea Ilari1.
Abstract
Huntington disease (HD) is a devastating and presently untreatable neurodegenerative disease characterized by progressively disabling motor and mental manifestations. The sigma-1 receptor (σ1R) is a protein expressed in the central nervous system, whose 3D structure has been recently determined by X-ray crystallography and whose agonists have been shown to have neuroprotective activity in neurodegenerative diseases. To identify therapeutic agents against HD, we have implemented a drug repositioning strategy consisting of: (i) Prediction of the ability of the FDA-approved drugs publicly available through the ZINC database to interact with σ1R by virtual screening, followed by computational docking and visual examination of the 20 highest scoring drugs; and (ii) Assessment of the ability of the six drugs selected by computational analyses to directly bind purified σ1R in vitro by Surface Plasmon Resonance and improve the growth of fibroblasts obtained from HD patients, which is significantly impaired with respect to control cells. All six of the selected drugs proved able to directly bind purified σ1R in vitro and improve the growth of HD cells from both or one HD patient. These results support the validity of the drug repositioning procedure implemented herein for the identification of new therapeutic tools against HD.Entities:
Keywords: Huntington disease (HD); cellular models; computational docking; drug repositioning; sigma-1 receptor (σ1R); structure analysis; surface plasmon resonance (SPR); virtual screening
Year: 2021 PMID: 33525510 PMCID: PMC7865886 DOI: 10.3390/ijms22031293
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923