Quantitative approaches for spatial metabolomics with isomer differentiation using surface sampling capillary electrophoresis mass spectrometry

IF 6.1 1区化学 Q1 CHEMISTRY, ANALYTICAL

Talanta Pub Date : 2025-06-18 DOI:10.1016/j.talanta.2025.128482

Anastasia Golubova, Ingela Lanekoff

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Abstract

The importance of metabolites and their isomeric structures in biological function and dysfunction is increasingly recognized. However, achieving quantitative mapping of metabolites within tissue regions, particularly with isomeric specificity, remains an analytical challenge. This work presents the development of a quantitative surface sampling capillary electrophoresis method for spatial metabolomics with isomeric resolution. Five quantitation strategies were evaluated, with the optimal approach identified as sequential injection of metabolites directly from tissue alongside standards. This methodology was applied to a rat brain tissue section in a proof-of-principle study, enabling quantitative spatial analysis of metabolites, neurotransmitters, and isomeric species. Among the findings, the aromatic amino acids tyrosine, phenylalanine, and tryptophan exhibited the most dynamic distributions across four brain regions, while leucine and isoleucine demonstrated distinct spatial profiles, with leucine consistently being the more abundant isomer. This method offers a promising tool for advancing the understanding of spatially resolved biochemical processes underlying biological function and dysfunction.

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利用表面取样毛细管电泳质谱法进行空间代谢组学与异构体分化的定量方法

代谢物及其异构体结构在生物功能和功能障碍中的重要性日益被认识到。然而，实现组织区域内代谢物的定量制图，特别是同分异构体特异性，仍然是一个分析挑战。本工作提出了一种具有同分异构体分辨率的空间代谢组学定量表面采样毛细管电泳方法。评估了五种定量策略，确定了最佳方法是直接从组织中依次注射代谢物。在一项原理验证研究中，该方法被应用于大鼠脑组织切片，实现了对代谢物、神经递质和同分异构体物种的定量空间分析。其中，芳香氨基酸酪氨酸、苯丙氨酸和色氨酸在四个脑区中表现出最动态的分布，而亮氨酸和异亮氨酸表现出明显的空间分布，亮氨酸始终是更丰富的异亮氨酸。这种方法提供了一种很有前途的工具，可以促进对生物功能和功能障碍背后的空间分解生化过程的理解。

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来源期刊

Talanta 化学-分析化学

CiteScore

12.30

自引率

4.90%

发文量

861

审稿时长

29 days

期刊介绍： Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome. Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.