Lai Huaqing, Fan Pinglong, Wang Huiqin, Wang Zhenzhen, Chen Naihong
Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510405, Guangdong, China.
State Key Laboratory of Bioactive Substances and Functions of Natural Medicines, Institute of Materia Medica & Neuroscience Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China.
Anal Methods. 2024 Dec 5;16(47):8080-8102. doi: 10.1039/d4ay01205d.
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 . 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.
异常组织的脑空间网络与包括神经退行性疾病和神经精神疾病在内的各种中枢神经系统（CNS）疾病的发展有关。然而，这些疾病复杂的分子机制仍未得到解决，这使得治疗策略的开发变得困难。一种名为质谱成像（MSI）的新型分子成像技术可捕获样品表面的分子信息。通过MSI，多种化合物可以在单个实验中同时可视化。高空间分辨率能够同时可视化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CNS疾病的广泛研究。本文综述简要概述了MSI主要类型的过程、应用、优缺点以及机制。同时，本文综述总结了MSI在研究CNS疾病中的主要应用，包括阿尔茨海默病（AD）、CNS肿瘤、中风、抑郁症、亨廷顿舞蹈病（HD）和帕金森病（PD）。最后，本文全面讨论了MSI与其他先进成像模态的协同应用、其在类器官模型中的应用、其与空间组学技术的整合，并展望了其在单细胞分析中的未来潜力。
