Title:Glucocorticoid Receptor Interacting Co-regulators: Putative Candidates for Future Drug Targeting Therapy
VOLUME: 17 ISSUE: 8
Author(s):Alessia Di Silvestre, Marianna Lucafo, Sara De Iudicibus, Alessandro Ventura, Stefano Martelossi, Gabriele Stocco and Giuliana Decorti*
Affiliation:PhD School in Science of Reproduction and Development, University of Trieste, Trieste, Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Institute for Maternal and Child Health - IRCCS 'Burlo Garofolo', Trieste, Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Institute for Maternal and Child Health - IRCCS 'Burlo Garofolo', Trieste, Department of Life Sciences, University of Trieste, Trieste, Department of Life Sciences, University of Trieste, Via Alexander Fleming, 22, 34127 Trieste
Keywords:Biomarkers, epigenetic, glucocorticoid, glucocorticoid receptor, protein-protein interactions, RNA-protein
interactions, sensitivity.
Abstract:Background: Glucocorticoids (GCs) are largely used in different inflammatory,
autoimmune and proliferative diseases. To date their mechanism of action is not completely clear and
more studies are necessary, in particular to explain the great interindividual variability in clinical
response. In this panorama the glucocorticoid receptor (GR) has an important role: in fact it regulates
the pharmacological response thanks to the capability to interact with different molecules (DNA,
RNA, ncRNA and proteins) that are known to influence its activity.
Results: In this review our aim is to highlight the knowledge about the role of protein-protein, RNAprotein
interactions and epigenetic modifications on the GR and the consequent response to GCs. The
characteristics of these interactions with the GR and their effects on the pharmacological activity of
GCs will be examined.
Conclusion: This information could contribute to the prediction of individual sensitivity to steroids
through the identification of new markers of GC resistance. In addition this knowledge may be used in
developing new strategies for targeted therapy.
