空间代谢组学揭示了三氯卡班治疗引起的损伤小鼠肾脏代谢改变。

Journal of pharmaceutical analysis Pub Date : 2024-11-01 Epub Date: 2024-06-26 DOI:10.1016/j.jpha.2024.101024
Peisi Xie, Jing Chen, Yongjun Xia, Zian Lin, Yu He, Zongwei Cai
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引用次数: 0

摘要

三氯卡班(TCC)是一种常用的抗菌药物,已广泛应用于医疗保健。鉴于TCC治疗与代谢紊乱之间的密切联系,我们评估了长期治疗与人类相关浓度的TCC是否会通过破坏小鼠模型的代谢水平来诱导肾毒性。采用基质辅助激光解吸/电离质谱成像技术(MALDI-MSI)研究了TCC治疗后肾脏中TCC、内源性和外源性代谢物的空间分布和丰度变化。结果表明,TCC处理可引起小鼠肾脏脏器重量、脏器系数和组织病理学的改变。MSI数据显示,TCC在肾脏各区域均有积累,其5种代谢物主要分布于皮质区。TCC治疗后,79种与白三烯E4代谢、甘油磷脂和甘油脂的生物合成和降解、神经酰胺-鞘磷脂信号通路相关的生物分子的丰度显著改变。这些生物分子在肾脏中具有明显的分布特征,并与病理损伤表现出良好的空间相关性。这项工作为tcc诱导肾毒性的相关机制提供了新的见解,并展示了基于maldi - msi的空间代谢组学作为医疗保健中药物风险评估的有前途的方法的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial metabolomics reveal metabolic alternations in the injured mice kidneys induced by triclocarban treatment.

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.

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