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Recent advances for spatial distribution on endogenous small molecule metabolites and drug spatial dynamics in central nervous system diseases using mass spectrometry imaging
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Yu TAO1, Chen-hui DU2, Jia-ying LIU1, Xue-mei QIN1, Rui-ping ZHANG3, *, Yan YAN1, *
Acta Pharmaceutica Sinica | 2025, 60(6) : 1641 - 1653
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Acta Pharmaceutica Sinica | 2025, 60(6): 1641-1653
• Reviews •
Recent advances for spatial distribution on endogenous small molecule metabolites and drug spatial dynamics in central nervous system diseases using mass spectrometry imaging
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Yu TAO1, Chen-hui DU2, Jia-ying LIU1, Xue-mei QIN1, Rui-ping ZHANG3, *, Yan YAN1, *
Affiliations
  • 1Modern Research Center of Traditional Chinese Medicine, Shanxi University, Taiyuan 030006, China
  • 2Institute of Pharmaceutical & Food Engineering, Shanxi University of Traditional Chinese Medicine, Taiyuan 030619, China
  • 3The Radiology Department of Shanxi Provincial People's Hospital Affiliated to Shanxi Medical University, Taiyuan 030001, China
Published: 2025-06-12 doi: 10.16438/j.0513-4870.2024-1299
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The endogenous small molecule metabolites (such as neurotransmitters, fatty acids, carbohydrates, nucleotides, and amino acids) in the body played an important role in the development and progression of central nervous system diseases. With the emergence of precision medicine, an increasing demand for the precise localization and precise analysis of those metabolites, as well as a clearer understanding of their biological functions was presented. Mass spectrometry imaging (MSI) technology, a non-invasive in vivo imaging technique, could provide an accurate spatial distribution, and the concentrations of endogenous metabolites or pharmaceutical components in different organs. There were many advantages including no specific labeling, short duration, and wide detection range. Matrix-assisted laser desorption/ionization mass spectrometry imaging played a leading role in the study of the precise distribution of endogenous metabolites in the brain microregions of disease animal model such as Parkinson's disease, Alzheimer's disease, stroke, and insomnia. In addition, it was widely applied to study the distribution of central nervous system drugs in the brain microregions. This review systematically examines the fundamental principles underlying MSI and its groundbreaking technological innovations over the past decade.

mass spectrometry imaging  /  central nervous system disease  /  brain microregion  /  endogenous metabolite  /  spatial distribution
陶宇, 杜晨晖, 刘嘉颖, 秦雪梅, 张瑞平, 闫艳. 基于质谱成像的中枢神经系统疾病内源性小分子代谢物与药物空间动力学研究进展. 药学学报, 2025 , 60 (6) : 1641 -1653 . DOI: 10.16438/j.0513-4870.2024-1299
Yu TAO, Chen-hui DU, Jia-ying LIU, Xue-mei QIN, Rui-ping ZHANG, Yan YAN. Recent advances for spatial distribution on endogenous small molecule metabolites and drug spatial dynamics in central nervous system diseases using mass spectrometry imaging[J]. Acta Pharmaceutica Sinica, 2025 , 60 (6) : 1641 -1653 . DOI: 10.16438/j.0513-4870.2024-1299
Year 2025 volume 60 Issue 6
224
107
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Article Info
doi: 10.16438/j.0513-4870.2024-1299
  • Receive Date:2024-12-28
  • Online Date:2026-09-20
  • Published:2025-06-12
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History
  • Received:2024-12-28
  • Revised:2025-05-08
Affiliations
    1Modern Research Center of Traditional Chinese Medicine, Shanxi University, Taiyuan 030006, China
    2Institute of Pharmaceutical & Food Engineering, Shanxi University of Traditional Chinese Medicine, Taiyuan 030619, China
    3The Radiology Department of Shanxi Provincial People's Hospital Affiliated to Shanxi Medical University, Taiyuan 030001, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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