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Lipidomic analysis of isolated lipid droplets reveals potential metabolic pathway differences between medulloblastoma subgroups

  • Queen Mary University, London

Research output: Contribution to journal › Article › peer-review

Abstract

Introduction – Medulloblastomas (MBs) are a highly aggressive paediatric brain tumour which is very difficult to treat. Lipid metabolism has emerged as a crucial determinant of tumour progression, metastasis and therapy resistance in MBs. Lipid droplets (LDs) are lipid-rich organelles that store neutral lipids; their biology and function remain poorly characterised within MBs. Methods – MB cells from the low-aggressive Sonic hedgehog (SHH) subgroup (DAOY, UW228-2) and the high-aggressive group 3 (G4) and group 4 (G4) subgroups (D458, D283) were treated with 80 μM oleic acid (OA), 50 μM cholesterol (Chol) or a mix to induce LD formation. LDs were isolated, and lipidomic analysis was performed. Results – No lipid species were consistently upregulated across all cell lines under any treatment condition. SHH cell lines exhibited a broad and consistent lipidomic response across all three treatments, resulting in a pronounced triacylglyceride (TAG) and cholesterol ester (CE) storage profile. The more aggressive subgroups exhibited a more selective, OA-driven phenotype, characterised by longer-chain TAG and CE species. Across all cell lines, OA produced the strongest LD expansion and metabolic separation, whereas Chol elicited a more restricted but highly subgroup-specific signature. G3/G4 Chol responses provide evidence for lipid metabolism rewiring, which could be responsible for the more aggressive phenotype. Discussion – These findings demonstrate that MB subtypes not only exhibit distinct basal lipid signatures but also engage in fundamentally different lipid remodelling in response to FA overload. These distinct lipid-handling signatures display metabolic heterogeneity across MB subgroups and suggest subtype-specific vulnerabilities. Overall, these findings position LD remodelling as a potential metabolic target of MB cells.

Original languageEnglish
Article number1863712
Number of pages16
JournalFrontiers in Neuroscience
Volume20
Early online date1 Sept 2026
DOIs
Publication statusPublished - 1 Sept 2026

Bibliographical note

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Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Acknowledgements

The authors would like to thank Alaa Othman and colleagues at the Functional Genomics Centre in Zurich for their assistance in performing the lipidomic analysis.

Funding

The author(s) declared that financial support was received for this work and/or its publication. This work was funded by a grant from Little Princess Trust (LPT2023A22), Academy of Medical Sciences Springboard (REF: SBF009\1184) and startup grant from University of Bath from MN-C.

FundersFunder number
University of Bath
Little Princess TrustLPT2023A22
Academy of Medical SciencesREF: SBF009\1184

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • cancer
    • lipid droplet
    • lipidomic
    • medulloblastoma
    • metabolism

    ASJC Scopus subject areas

    • General Neuroscience

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