Abstract

Omics-based biomarker technologies, including metabolic profiling (metabolomics/metabonomics) and lipidomics, are making a significant impact on disease understanding, drug development, and translational research. A wide range of patho-physiological processes involve lipids and monitoring changes in lipid abundance can give valuable insights into mechanisms of drug action, off target pharmacology and toxicity. Here we report changes, detected by untargeted LC–MS, in the plasma lipid profiles of male C57Bl/6JRj mice following the PO and IV administration of the epidermal growth factor receptor (EGFR) inhibitor gefitinib. Statistical analysis of the data obtained for both the IV and PO samples showed time-related changes in the amounts of lipids from several different classes. The largest effects were associated with a rapid onset of these changes following gefitinib administration followed by a gradual return by 24 h post dose to the type of lipid profile seen in predose samples. Investigation of the lipids responsible for the variance observed in the data showed that the PI, PC, LPC, PE and TG were subject to the largest disruption with both transient increases and decreases in relative amounts seen in response to administration of the drug. The pattern of the changes in the relative abundances of those lipids subject to variation appeared to be correlated to the pharmacokinetics of gefitinib (and its major metabolites). These observations support the concept of a distinct pharmacolipidodynamic relationship between drug exposure and plasma lipid abundance.

Details

Title
Detection of pharmacolipidodynamic effects following the intravenous and oral administration of gefitinib to C57Bl/6JRj mice by rapid UHPLC-MS analysis of plasma
Author
Plumb, Robert S. 1 ; Gethings, Lee A. 2 ; Isaac, Giorgis 3 ; Munjoma, Nyasha C. 2 ; Wilson, Ian D. 4 

 Waters Corporation, Milford, USA (GRID:grid.433801.d) (ISNI:0000 0004 0580 039X) 
 Waters Corporation, Wilmslow, UK (GRID:grid.422530.2) (ISNI:0000 0004 4911 1625) 
 University of Massachusetts, Chan Medical School, Program in Molecular Medicine, Worcester, USA (GRID:grid.168645.8) (ISNI:0000 0001 0742 0364) 
 Imperial College, Computational & Systems Medicine, Department of Metabolism, Digestion and Reproduction, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111) 
Pages
17061
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3084108327
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.