Zavolskova Marina, Senko Dmitry, Osetrova Maria, Efimova Olga, Stekolshchikova Elena, Vladimirov Gleb, Nikolaev Evgeny, Khaitovich Philipp
Skolkovo Institute of Science and Technology, Moscow, Russia.
J Neurochem. 2025 Mar;169(3):e70042. doi: 10.1111/jnc.70042.
Understanding the molecular basis of the structural organization of the human brain may shed light on its functional mechanism. We present spatial lipidomics analysis of human brain sections containing neocortical gray matter and two white matter regions representing two axonal tracks: the cingulum bundle and the corpus callosum. Using matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) we identify lipid composition differences not only between gray and white matter but also between two axonal tracks. Results, obtained with the MALDI-MSI method, correlated with ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) analysis of these brain regions, with Spearman's correlation coefficient equal to 0.48 (the cingulum bundle vs. gray matter), 0.47 (the corpus callosum vs. gray matter), 0.33 (the cingulum bundle vs. the corpos callosum) on 75 lipids annotated in both experiments. Using UPLC-MS/MS analysis, we further identified specific lipid classes that distinguished the two white matter regions (CL, PG, LPE), while gray and white matter comparison yielded well-established differences in lipid composition between myelin-rich and myelin poor regions (CL, DG, Cholesterol). Our findings highlight the significance of in-depth molecular analysis of brain regions and enhance our comprehension of the brain's molecular composition.
了解人类大脑结构组织的分子基础可能有助于揭示其功能机制。我们对包含新皮质灰质以及代表两条轴突束的两个白质区域(扣带束和胼胝体)的人类脑切片进行了空间脂质组学分析。使用基质辅助激光解吸/电离质谱成像(MALDI-MSI),我们不仅识别出灰质和白质之间的脂质成分差异,还发现了两条轴突束之间的差异。通过MALDI-MSI方法获得的结果与这些脑区的超高效液相色谱-串联质谱(UPLC-MS/MS)分析结果相关,在两个实验中均注释的75种脂质上,斯皮尔曼相关系数分别为0.48(扣带束与灰质)、0.47(胼胝体与灰质)、0.33(扣带束与胼胝体)。使用UPLC-MS/MS分析,我们进一步确定了区分两个白质区域的特定脂质类别(CL、PG、LPE),而灰质和白质的比较揭示了富含髓磷脂和髓磷脂较少区域之间脂质成分的既定差异(CL、DG、胆固醇)。我们的研究结果突出了对脑区进行深入分子分析的重要性,并增强了我们对大脑分子组成的理解。