Brain lipidomics: From functional landscape to clinical significance

Author:

Yoon Jong Hyuk1ORCID,Seo Youngsuk1ORCID,Jo Yeon Suk12,Lee Seulah1ORCID,Cho Eunji1ORCID,Cazenave-Gassiot Amaury34ORCID,Shin Yong-Seung5ORCID,Moon Myeong Hee6ORCID,An Hyun Joo7ORCID,Wenk Markus R.34ORCID,Suh Pann-Ghill8ORCID

Affiliation:

1. Neurodegenerative Diseases Research Group, Korea Brain Research Institute, Daegu 41062, Republic of Korea.

2. Department of Brain Sciences, Daegu-Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea.

3. Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore.

4. Singapore Lipidomics Incubator (SLING), Life Sciences Institute, National University of Singapore, Singapore 119077, Singapore.

5. Laboratory Solutions Sales, Agilent Technologies Korea Ltd., Seoul, 06621, Republic of Korea.

6. Department of Chemistry, Yonsei University, Seoul 03722, Republic of Korea.

7. Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon 34134, Republic of Korea.

8. Korea Brain Research Institute, Daegu 41062, Republic of Korea.

Abstract

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.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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