Published in

Wiley, Archiv der Pharmazie, 2(357), 2023

DOI: 10.1002/ardp.202300536

Links

Tools

Export citation

Search in Google Scholar

Design and synthesis of bioreductive prodrugs of class I histone deacetylase inhibitors and their biological evaluation in virally transfected acute myeloid leukemia cells

This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

Full text: Unavailable

Green circle
Preprint: archiving allowed
Orange circle
Postprint: archiving restricted
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

AbstractAlthough histone deacetylase (HDAC) inhibitors show promise in treating various types of hematologic malignancies, they have some limitations, including poor pharmacokinetics and off‐target side effects. Prodrug design has shown promise as an approach to improve pharmacokinetic properties and to improve target tissue specificity. In this work, several bioreductive prodrugs for class I HDACs were designed based on known selective HDAC inhibitors. The zinc‐binding group of the HDAC inhibitors was masked with various nitroarylmethyl residues to make them substrates of nitroreductase (NTR). The developed prodrugs showed weak HDAC inhibitory activity compared to their parent inhibitors. The prodrugs were tested against wild‐type and NTR‐transfected THP1 cells. Cellular assays showed that both 2‐nitroimidazole‐based prodrugs 5 and 6 were best activated by the NTR and exhibited potent activity against NTR‐THP1 cells. Compound 6 showed the highest cellular activity (GI50 = 77 nM) and exhibited moderate selectivity. Moreover, activation of prodrug 6 by NTR was confirmed by liquid chromatography‐mass spectrometry analysis, which showed the release of the parent inhibitor after incubation with Escherichia coli NTR. Thus, compound 6 can be considered a novel prodrug selective for class I HDACs, which could be used as a good starting point for increasing selectivity and for further optimization.