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空间神经脂组学-脑病理学中脂质的 MALDI 质谱成像。

Spatial neurolipidomics-MALDI mass spectrometry imaging of lipids in brain pathologies.

机构信息

Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, Mölndal, Sweden.

Clinical Neurochemistry Lab, Sahlgrenska University Hospital, Mölndal, Sweden.

出版信息

J Mass Spectrom. 2024 Mar;59(3):e5008. doi: 10.1002/jms.5008.

Abstract

Given the complexity of nervous tissues, understanding neurochemical pathophysiology puts high demands on bioanalytical techniques with respect to specificity and sensitivity. Mass spectrometry imaging (MSI) has evolved to become an important, biochemical imaging technology for spatial biology in biological and translational research. The technique facilitates comprehensive, sensitive elucidation of the spatial distribution patterns of drugs, lipids, peptides, and small proteins in situ. Matrix-assisted laser desorption ionization (MALDI)-based MSI is the dominating modality due to its broad applicability and fair compromise of selectivity, sensitivity price, throughput, and ease of use. This is particularly relevant for the analysis of spatial lipid patterns, where no other comparable spatial profiling tools are available. Understanding spatial lipid biology in nervous tissue is therefore a key and emerging application area of MSI research. The aim of this review is to give a concise guide through the MSI workflow for lipid imaging in central nervous system (CNS) tissues and essential parameters to consider while developing and optimizing MSI assays. Further, this review provides a broad overview of key developments and applications of MALDI MSI-based spatial neurolipidomics to map lipid dynamics in neuronal structures, ultimately contributing to a better understanding of neurodegenerative disease pathology.

摘要

鉴于神经组织的复杂性,理解神经生化病理生理学对生物分析技术的特异性和灵敏度提出了很高的要求。质谱成像 (MSI) 已发展成为生物和转化研究中空间生物学的重要生化成像技术。该技术有助于全面、灵敏地阐明药物、脂质、肽和小蛋白在原位的空间分布模式。基于基质辅助激光解吸电离 (MALDI) 的 MSI 是主要的模态,因为它具有广泛的适用性和选择性、灵敏度、价格、通量和易用性之间的公平折衷。这对于分析空间脂质模式尤其相关,因为没有其他可比的空间分析工具可用。因此,了解神经组织中的空间脂质生物学是 MSI 研究的一个关键和新兴应用领域。本文的目的是通过中枢神经系统 (CNS) 组织中脂质成像的 MSI 工作流程以及在开发和优化 MSI 分析时需要考虑的基本参数,提供一个简洁的指南。此外,本文还广泛概述了基于 MALDI MSI 的空间神经脂质组学在映射神经元结构中脂质动态方面的关键进展和应用,最终有助于更好地理解神经退行性疾病病理学。

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