Literature DB >> 33454388

Application of comprehensive lipidomics to biomarker research on adverse drug reactions.

Kosuke Saito1.   

Abstract

Lipidomics is a relatively new field of omics that focuses on lipids, one of the major categories of metabolites. Owing to their various functions, lipids are considered suitable targets for biomarker development; in addition, lipidomics analysis of adverse drug reactions (ADRs) has been conducted recently. In this review, I have summarized information on comprehensive lipidomics, which involves the analysis of global lipids in a non-targeted manner. Mass spectrometry-based platforms are currently the dominant lipidomics platform owing to their versatile features. I have also summarized the application of lipidomics in biomarker research on ADRs caused by therapeutic drugs in humans and rodents. Additionally, general concerns in and emerging approaches of lipidomics research on ADR have been highlighted. Although biomarkers identified using the lipidomics analysis of ADRs have not been qualified, reported candidates will be evaluated for clinical application. In addition, novel biomarker candidates will be developed via classical and new approaches exemplified in this review.
Copyright © 2020 The Japanese Society for the Study of Xenobiotics. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adverse drug reaction; Biomarker; Lipid; Lipidomics; Liver injury; Mass spectrometry

Year:  2021        PMID: 33454388     DOI: 10.1016/j.dmpk.2020.100377

Source DB:  PubMed          Journal:  Drug Metab Pharmacokinet        ISSN: 1347-4367            Impact factor:   3.614


  2 in total

Review 1.  Reprogrammed Lipid Metabolism and the Lipid-Associated Hallmarks of Colorectal Cancer.

Authors:  Timothy Salita; Yepy H Rustam; Dmitri Mouradov; Oliver M Sieber; Gavin E Reid
Journal:  Cancers (Basel)       Date:  2022-07-29       Impact factor: 6.575

2.  Phosphatidylcholine (18:0/20:4), a potential biomarker to predict ethionamide-induced hepatic steatosis in rats.

Authors:  Kyotaka Muta; Kosuke Saito; Yusuke Kemmochi; Taku Masuyama; Akio Kobayashi; Yoshiro Saito; Shoichiro Sugai
Journal:  J Appl Toxicol       Date:  2022-03-29       Impact factor: 3.628

  2 in total

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