Han Kang, Shi Xintong, Zhang Heng, Jin Xiaofang, Zhao Qiaoya, Li Xingyao, Zhang Tong, Xie Yajing, Duan Li, Chang Yan-Zhong
Analysis and Testing Centre, Hebei Normal University, Shijiazhuang, Hebei Province, 050024, China.
College of Chemistry and Materials Science, Hebei Normal University, Shijiazhuang, Hebei Province, 050024, China.
Talanta. 2025 Dec 1;295:128302. doi: 10.1016/j.talanta.2025.128302. Epub 2025 May 15.
Iron is one of the essential trace elements required for maintaining life, and it participates in several physiological activities. Comprehensive direct targeting of iron in tissue slices will be more conducive to exploring the physiological processes of iron metabolism disorders. In this study, we introduce a novel matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) methodology designed to map iron distribution comprehensively across tumor tissues and specific brain regions. We selected the reactive matrix based on iron chelating agents to promote the covalent charge labeling of oxygen and iron, which solved the problem of the low detection limit of metal elements when using MSI. Our research expands beyond iron mapping to include the simultaneous detection of molecules associated with energy metabolism in tumor tissues, lipid molecules related to myelin in demyelination models, and both neurotransmitter and lipid molecules in Parkinson's disease (PD) models. This multifaceted approach has unveiled the potential roles of iron in tumor progression and the pathogenesis of neurodegenerative diseases, providing novel insights into its functions during pathological processes.
铁是维持生命所需的必需微量元素之一,它参与多种生理活动。在组织切片中对铁进行全面的直接靶向将更有利于探索铁代谢紊乱的生理过程。在本研究中,我们引入了一种新型的基质辅助激光解吸电离质谱成像(MALDI-MSI)方法,旨在全面绘制肿瘤组织和特定脑区的铁分布图谱。我们基于铁螯合剂选择了反应性基质,以促进氧和铁的共价电荷标记,解决了使用MSI时金属元素检测限低的问题。我们的研究不仅局限于铁的图谱绘制,还包括同时检测肿瘤组织中与能量代谢相关的分子、脱髓鞘模型中与髓磷脂相关的脂质分子以及帕金森病(PD)模型中的神经递质和脂质分子。这种多方面的方法揭示了铁在肿瘤进展和神经退行性疾病发病机制中的潜在作用,为其在病理过程中的功能提供了新的见解。
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