Structure-guided in vitro to in vivo pharmacokinetic optimization of propargyl-linked antifolates

  • M. N. Lombardo
  • , N. G. Dayanandan
  • , S. Keshipeddy
  • , W. Zhou
  • , D. Si
  • , S. M. Reeve
  • , J. Alverson
  • , P. Barney
  • , L. Walker
  • , J. Hoody
  • , N. D. Priestley
  • , R. S. Obach
  • , D. L. Wright

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Pharmacokinetic/pharmacodynamic properties are strongly correlated with the in vivo efficacy of antibiotics. Propargyl-linked antifolates, a novel class of antibiotics, demonstrate potent antibacterial activity against both Gram-positive and Gram-negative pathogenic bacteria, including multidrug-resistant Staphylococcus aureus. Here, we report our efforts to optimize the pharmacokinetic profile of this class to best match the established pharmacodynamic properties. High-resolution crystal structures were used in combination with in vitro pharmacokinetic models to design compounds that not only are metabolically stable in vivo but also retain potent antibacterial activity. The initial lead compound was prone to both N-oxidation and demethylation, which resulted in an abbreviated in vivo half-life (∼20 minutes) in mice. Stability of leads toward mouse liver microsomes was primarily used to guide medicinal chemistry efforts so robust efficacy could be demonstrated in a mouse disease model. Structure-based drug design guided mitigation of N-oxide formation through substitutions of sterically demanding groups adjacent to the pyridyl nitrogen. Additionally, deuterium and fluorine substitutions were evaluated for their effect on the rate of oxidative demethylation. The resulting compound was characterized and demonstrated to have a low projected clearance in humans with limited potential for drug-drug interactions as predicted by cytochrome P450 inhibition as well as an in vivo exposure profile that optimizes the potential for bactericidal activity, highlighting how structural data, merged with substitutions to introduce metabolic stability, are a powerful approach to drug design.

Original languageEnglish
Pages (from-to)995-1003
Number of pages9
JournalDrug Metabolism and Disposition
Volume47
Issue number9
DOIs
StatePublished - 2019

Funding

This work was supported by the National Institutes of Health [Grant AI11957 and Grant AI104841]. 1M.N.L. and N.G.-D. contributed equally to this work. https://doi.org/10.1124/dmd.119.086504. s This article has supplemental material available at dmd.aspetjournals.org. The authors thank Dr. Nathan Wiederhold’s research group at the University of Texas Health Science Center at San Antonio for determining the in vivo pharmacokinetic profile of compound 11. Metabolite identification for compound 12 was conducted at the Yale School of Medicine Proteomics Center, New Haven, CT, with the help of Dr. Tukiet Lam. Additionally, this research used resources at the Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, which is supported by the US Department of Energy, Office of Science, Office of Basic Energy Sciences under contract number DE-AC02-76SF00515.

Funder number
DE-AC02-76SF00515
AI11957
R01AI104841

    Fingerprint

    Dive into the research topics of 'Structure-guided in vitro to in vivo pharmacokinetic optimization of propargyl-linked antifolates'. Together they form a unique fingerprint.

    Cite this