한빛사논문
Jong Hyuk Yoon1*†, Youngsuk Seo1†, Yeon Suk Jo1,2, Seulah Lee1, Eunji Cho1, Amaury Cazenave-Gassiot3,4, Yong-Seung Shin5, Myeong Hee Moon6, Hyun Joo An7, Markus R. Wenk3,4, Pann-Ghill Suh8
1Neurodegenerative Diseases Research Group, Korea Brain Research Institute, Daegu 41062, Republic of Korea.
2Department of Brain Sciences, Daegu-Gyeongbuk Insti-tute of Science and Technology (DGIST), Daegu 42988, Republic of Korea.
3Depart-ment of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore.
4Singapore Lipidomics Incubator (SLING), Life Sciences Institute, National University of Singapore, Singapore 119077, Singapore.
5Laboratory Solutions Sales, Agilent Technologies Korea Ltd., Seoul, 06621, Republic of Korea.
6Department of Chemistry, Yonsei University, Seoul 03722, Republic of Korea.
7Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon 34134, Republic of Korea.
8Korea Brain Research Institute, Daegu 41062, Republic of Korea.
*Corresponding author: Jong Hyuk Yoon
†These authors have contributed equally to this work.
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.
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