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Metabolomics analysis reveals characteristic metabolites in different levels of oxaliplatin‐induced neurotoxicity.

Authors :
Hua, Yujiao
Wang, Rong
Liu, Yankui
Liu, Quan
Qi, Xiaowei
Ding, Yongjuan
Lv, Juan
Source :
Journal of Separation Science. Jun2024, Vol. 47 Issue 11, p1-15. 15p.
Publication Year :
2024

Abstract

Oxaliplatin (L‐OHP), a third‐generation platinum‐based anti‐tumor drug, finds widespread application in the first‐line treatment of metastatic colorectal cancer. Despite its efficacy, the drug's usage is curtailed by a litany of side effects, with L‐OHP‐induced peripheral neuropathy (OIPN) being the most debilitating. This condition can be classified into varying degrees of severity. Employing serum metabolomics, a high‐sensitivity, high‐throughput technique, holds promise as a method to identify biomarkers for clinical assessment and monitoring of OIPN patients across different severity levels. In our study, we analyzed serum metabolites in patients with different OIPN levels using ultra‐performance liquid chromatography‐high resolution mass spectrometry. By employing statistical analyses and pathway enrichment studies, we aimed to identify potential biomarkers and metabolic pathways. Our findings characterized the serum metabolic profiles of patients with varying OIPN levels. Notably, pathway analysis revealed a significant correlation with lipid metabolism, amino acid metabolism, and energy metabolism. Multivariate statistical analysis and receiver operator characteristic curve evaluation pointed to anhalamine and glycochenodeoxycholic acid as potential biomarkers for OIPN C and A, which suggest that serum metabolomics may serve as a potent tool for exploring the metabolic status of patients suffering from diverse diseases and for discovering novel biomarkers. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16159306
Volume :
47
Issue :
11
Database :
Academic Search Index
Journal :
Journal of Separation Science
Publication Type :
Academic Journal
Accession number :
177904267
Full Text :
https://doi.org/10.1002/jssc.202400164