Spatial metabolomics reveal metabolic alternations in the injured mice kidneys induced by triclocarban treatment.
10.1016/j.jpha.2024.101024
- Author:
Peisi XIE
1
;
Jing CHEN
1
;
Yongjun XIA
2
;
Zian LIN
1
;
Yu HE
1
;
Zongwei CAI
1
Author Information
1. Ministry of Education Key Laboratory of Analytical Science for Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, 350116, China.
2. State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR, 999077, China.
- Publication Type:Journal Article
- Keywords:
MALDI mass spectrometry imaging;
Nephrotoxicity;
Spatial metabolomics;
Triclocarban
- From:
Journal of Pharmaceutical Analysis
2024;14(11):101024-101024
- CountryChina
- Language:English
-
Abstract:
Triclocarban (TCC) is a common antimicrobial agent that has been widely used in medical care. Given the close association between TCC treatment and metabolic disorders, we assessed whether long-term treatment to TCC at a human-relevant concentration could induce nephrotoxicity by disrupting the metabolic levels in a mouse model. Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) was applied to investigate the alterations in the spatial distributions and abundances of TCC, endogenous and exogenous metabolites in the kidney after TCC treatment. The results showed that TCC treatment induced the changes in the organ weight, organ coefficient and histopathology of the mouse kidney. MSI data revealed that TCC accumulated in all regions of the kidney, while its five metabolites mainly distributed in the cortex regions. The abundances of 79 biomolecules associated with pathways of leukotriene E4 metabolism, biosynthesis and degradation of glycerophospholipids and glycerolipids, ceramide-to-sphingomyelin signaling were significantly altered in the kidney after TCC treatment. These biomolecules showed distinctive distributions in the kidney and displayed a favorable spatial correlation with the pathological damage. This work offers new insights into the related mechanisms of TCC-induced nephrotocicity and exhibits the potential of MALDI-MSI-based spatial metabolomics as a promising approach for the risk assessment of agents in medical care.
