Lipidomic Uniqueness of the Human Cerebellum White Matter

Olga Gavrilenko, Elena Popova, Olga Efimova, Gleb Vladimirov, Evgeny Nikolaev, Philipp Khaitovich

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Lipidomics is the omics technology aimed to detect and quantify the complete diversity of lipids (lipidome) in the specific sample. Despite numerous reports confirming the crucial role of lipids in the brain functions, studies of brain lipid composition are sparse and incomplete in contrast to genome and transcriptome data. Cerebellum recently emerged as a potent modulating center of neuronal plasticity of the forebrain. Moreover, cerebellum has undergone great changes during human brain evolution. Here, we studied the spatial distribution in thousands of lipid species, marking different functional hubs in cerebellar microcircuits in evolutionary lineage - macaque, chimpanzee and human. MALDI mass-spectrometry imaging demonstrated that molecular and granular layers as well as white matter of the cerebellum had unique lipid profiles. Lipidome-based hierarchical clustering of different cerebellar hubs revealed significant evolutionary differences. Remarkably, the greatest evolutionary distance in humans compared to primates was observed in the white matter lipid profile. This fact completely agrees with the significant changes in oligodendrogenesis and myelination during human brain evolution.

Original languageEnglish
Title of host publicationAdvances in Cognitive Research, Artificial Intelligence and Neuroinformatics - Proceedings of the 9th International Conference on Cognitive Sciences, Intercognsci-2020
EditorsBoris M. Velichkovsky, Pavel M. Balaban, Vadim L. Ushakov
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages7
ISBN (Print)9783030716363
Publication statusPublished - 2021
Event9th International Conference on Cognitive Sciences, Intercognsci 2020 - Moscow, Russian Federation
Duration: 10 Oct 202016 Oct 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1358 AIST
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365


Conference9th International Conference on Cognitive Sciences, Intercognsci 2020
Country/TerritoryRussian Federation


  • Brain
  • Evolution
  • Human
  • Lipidomics


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