洛桑联邦理工学院的研究团队利用质谱成像技术创建了首份详细的脑脂质三维地图 1。研究人员分析了来自11只小鼠的109片脑组织切片，检测了172种脂质，并产生了约700万次测量数据 1。通过机器学习对这些数据进行重建后，研究团队识别出539个化学成分不同的脑区域，这些区域被称为"lipizones" 1。
这一发现揭示了传统脑图谱所遗漏的脂质组织规律 1。研究表明，白质的化学异质性远比现有认识更加复杂，而妊娠期间脂质组成的变化幅度甚至超过了不同性别之间的典型差异 1。此前，没有常规的脑部成像技术能够区分单个脂质分子 1。相关研究成果已发表在《自然》杂志上 1，为理解脑部生物学及其与抑郁症和阿尔茨海默病等疾病的关联提供了新的视角 1。
Researchers at the Swiss Federal Institute of Technology Lausanne have created the first detailed three-dimensional map of brain lipids, identifying 539 chemically distinct regions—called "lipizones"—that traditional brain imaging has overlooked 1. Using mass spectrometry imaging, the team analyzed 172 different lipids across 109 brain tissue slices collected from 11 mice, generating approximately 7 million data points that were then reconstructed using machine learning 1.
The discovery reveals previously hidden patterns in lipid organization throughout the brain, including complex chemical heterogeneity in white matter and substantial lipid composition changes during pregnancy 1. The researchers found that lipid variations during gestation are far more pronounced than typical differences between sexes 1. Because conventional imaging technologies cannot distinguish individual lipid molecules, this new mapping approach provides insights that were previously inaccessible 1. The findings, published in Nature, suggest that alterations in lipid distribution may be connected to conditions such as depression and Alzheimer's disease 1.
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