Brain lipidomics: From functional landscape to clinical significance

Jong Hyuk Yoon, Youngsuk Seo, Yeon Suk Jo, Seulah Lee, Eunji Cho, Amaury Cazenave-Gassiot, Yong Seung Shin, Myeong Hee Moon, Hyun Joo An, Markus R. Wenk, Pann Ghill Suh

Research output: Contribution to journalReview articlepeer-review

2 Citations (Scopus)


Lipids are crucial components of cellular function owing to their role in membrane formation, intercellular signaling, energy storage, and homeostasis maintenance. In the brain, lipid dysregulations have been associated with the etiology and progression of neurodegeneration and other neurological pathologies. Hence, brain lipids are emerging as important potential targets for the early diagnosis and prognosis of neurological diseases. This review aims to highlight the significance and usefulness of lipidomics in diagnosing and treating brain diseases. We explored lipid alterations associated with brain diseases, paying attention to organ-specific characteristics and the functions of brain lipids. As the recent advances in brain lipidomics would have been impossible without advances in analytical techniques, we provide up-to-date information on mass spectrometric approaches and integrative analysis with other omic approaches. Last, we present the potential applications of lipidomics combined with artificial intelligence techniques and interdisciplinary collaborative research for treating brain diseases with clinical heterogeneities.

Original languageEnglish
Article numbereadc9317
JournalScience Advances
Issue number37
Publication statusPublished - 2022 Sept

Bibliographical note

Funding Information:
This research was supported by the KBRI basic research program of the Korea Brain Research Institute, as funded by the Ministry of Science and ICT (22-BR-04-02 and 22-BR-02-03).

Publisher Copyright:
Copyright © 2022 The Authors, some rights reserved.

All Science Journal Classification (ASJC) codes

  • General


Dive into the research topics of 'Brain lipidomics: From functional landscape to clinical significance'. Together they form a unique fingerprint.

Cite this