New perspective on central nervous system disorders: focus on mass spectrometry imaging.

IF 2.7 3区 化学 Q2 CHEMISTRY, ANALYTICAL
Huaqing Lai, Pinglong Fan, Huiqin Wang, Zhenzhen Wang, Naihong Chen
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引用次数: 0

Abstract

An abnormally organized brain spatial network is linked to the development of various central nervous system (CNS) disorders, including neurodegenerative diseases and neuropsychiatric disorders. However, the complicated molecular mechanisms of these diseases remain unresolved, making the development of treatment strategies difficult. A novel molecular imaging technique, called mass spectrometry imaging (MSI), captures molecular information on the surface of samples in situ. With MSI, multiple compounds can be simultaneously visualized in a single experiment. The high spatial resolution enables the simultaneous visualization of the spatial distribution and relative content of various compounds. The wide application of MSI in biomedicine has facilitated extensive studies on CNS disorders in recent years. This review provides a concise overview of the processes, applications, advantages, and disadvantages, as well as mechanisms of the main types of MSI. Meanwhile, this review summarizes the main applications of MSI in studying CNS diseases, including Alzheimer's disease (AD), CNS tumors, stroke, depression, Huntington's disease (HD), and Parkinson's disease (PD). Finally, this review comprehensively discusses the synergistic application of MSI with other advanced imaging modalities, its utilization in organoid models, its integration with spatial omics techniques, and provides an outlook on its future potential in single-cell analysis.

中枢神经系统疾病的新视角:聚焦质谱成像。
大脑空间网络组织异常与各种中枢神经系统(CNS)疾病的发生有关,包括神经退行性疾病和神经精神疾病。然而,这些疾病复杂的分子机制仍未得到解决,导致治疗策略的制定困难重重。一种名为质谱成像(MSI)的新型分子成像技术可以原位捕捉样品表面的分子信息。利用 MSI,可以在一次实验中同时观察到多种化合物。高空间分辨率可同时显示各种化合物的空间分布和相对含量。近年来,MSI 在生物医学中的广泛应用促进了对中枢神经系统疾病的广泛研究。本综述简要概述了 MSI 的过程、应用、优缺点以及主要类型的机制。同时,本综述总结了 MSI 在中枢神经系统疾病研究中的主要应用,包括阿尔茨海默病(AD)、中枢神经系统肿瘤、中风、抑郁症、亨廷顿病(HD)和帕金森病(PD)。最后,这篇综述全面讨论了 MSI 与其他先进成像模式的协同应用、它在类器官模型中的应用、它与空间 omics 技术的整合,并展望了它在单细胞分析中的未来潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Analytical Methods
Analytical Methods CHEMISTRY, ANALYTICAL-FOOD SCIENCE & TECHNOLOGY
CiteScore
5.10
自引率
3.20%
发文量
569
审稿时长
1.8 months
期刊介绍: Early applied demonstrations of new analytical methods with clear societal impact
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