Literature DB >> 26022804

Phenotyping drug polypharmacology via eicosanoid profiling of blood.

Jiao Song1, Xuejun Liu2, Tadimeti S Rao2, Leon Chang2, Michael J Meehan3, Jonathan M Blevitt1, Jiejun Wu1, Pieter C Dorrestein3, Marcos E Milla1.   

Abstract

It is widely accepted that small-molecule drugs, despite their selectivity at primary targets, exert pharmacological effects (and safety liabilities) through a multiplicity of pathways. As such, it has proved extremely difficult to experimentally assess polypharmacology in an agnostic fashion. Profiling of metabolites produced as part of physiological responses to pharmacological stimuli provides a unique opportunity to explore drug pharmacology. A total of 122 eicosanoid lipids in human whole blood were monitored from 10 different donors upon stimulation with several inducers of immunological responses and treatment with modulators of prostaglandin (PG) and leukotriene biosynthesis, including clinical and investigational molecules. Such analysis revealed differentiation between drugs nominally targeting different eicosanoid biosynthetic enzymes, or even those designed to target the same enzyme. Profiled agents, some of them marketed products, affect eicosanoid biosynthesis in ways that cannot be predicted from information on their intended targets. As an example, we used this platform to discriminate drugs based on their ability to silence PG biosynthesis in response to bacterial lipopolysaccharide, resulting in differential pharmacological activity in an in vivo model of endotoxemia. Some of the observed effects are subject to variability among individuals, indicating a potential application of this methodology to the patient stratification, based on their responses to benchmark drugs and experimental compounds read on the eicosanome via a simple blood test.
Copyright © 2015 by the American Society for Biochemistry and Molecular Biology, Inc.

Entities:  

Keywords:  drug differentiation; eicosanoid biosynthesis; liquid chromatography mass spectrometry; metabolic phenotyping; patient profiling

Mesh:

Substances:

Year:  2015        PMID: 26022804      PMCID: PMC4513990          DOI: 10.1194/jlr.M058677

Source DB:  PubMed          Journal:  J Lipid Res        ISSN: 0022-2275            Impact factor:   5.922


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