Cited by 324Metabolomics and Mass Spectrometry StudiesSphingolipid Metabolism and SignalingLipid metabolism and biosynthesis

Brain lipidomics: From functional landscape to clinical significance

Open access
Yoon, Jong Hyuk, Seo, Youngsuk, Jo, Yeon Suk, Lee, Seulah, Cho, Eunji, Cazenave-Gassiot, Amaury, Shin, Yong-Seung, Moon, Myeong Hee +3 more·2022·Science Advances

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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Crossref · 10.1126/sciadv.adc9317

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  • Metabolomic techniques have uncovered metabolic abnormalities in AD, particularly those related to lipid metabolism, mitochondrial dysfunction, and inflammatory signaling.

    “These techniques have uncovered metabolic abnormalities in AD, particularly those related to lipid metabolism, mitochondrial dysfunction, and inflammatory signaling192,193.”

    From Artificial intelligence-driven multi-omics approaches in Alzheimer's disease: Progress, challenges, and future directions (2025) · cites this paper as [193]

    The 'Integrated omics in brain diseases' section (page not specified) reports AD-associated changes in fatty-acid metabolites, inflammation-related genes, and lipids and proteins linked to immune response and cytokine production. It also reports decreased mitochondrial membrane–forming lipids in one AD genotype, but does not establish mitochondrial dysfunction; that part of the claim overstates the evidence. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • Lipids are structural components of cell membranes involved in myelination, neurotransmission, synaptic plasticity, energy metabolism, and inflammatory processes; interventions in these processes may influence the development of psychiatric disorders and contribute to their pathogenesis.

    “Lipids are the structural components of cell membranes, which are involved in a set of processes in the cell, such as myelination, neurotransmission, synaptic plasticity, energy, metabolic processes, and inflammatory processes. Interventions in these processes may influence the development of psychiatric disorders and contribute to their pathogenesis [4].”

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Research works printed but not linked: 5

  1. [74]V. V. R. Bandaru, J. Troncoso, D. Wheeler, O. Pletnikova, J. Wang, K. Conant, N. J. Haughey, ApoE4 disrupts sterol and sphingolipid metabolism in Alzheimer’s but not normal brain. Neurobiol. Aging 30, 591– 599 (2009). 17888544 PMC2758772
  2. [80]X. He, Y. Huang, B. Li, C. X. Gong, E. H. Schuchman, Deregulation of sphingolipid metabolism in Alzheimer’s disease. Neurobiol. Aging 31, 398– 408 (2010). 18547682 PMC2829762
  3. [108]Q. Yu, Z. He, D. Zubkov, S. Huang, I. Kurochkin, X. Yang, T. Halene, L. Willmitzer, P. Giavalisco, S. Akbarian, P. Khaitovich, Lipidome alterations in human prefrontal cortex during development, aging, and cognitive disorders. Mol. Psychiatry 25, 2952– 2969 (2020). 30089790 PMC7577858
  4. [112]M. Bloom, F. Linseisen, J. Lloyd-Smith, M. Crawford, "Insights from NMR on the functional role of polyunsaturated lipids in the brain" in Magnetic Resonance and Brain Function: Approaches from Physics (IOS Press, 1999), pp. 527–553.
  5. [113]C. Gonzalez-Riano, A. García, C. Barbas, "Untargeted Metabolomics Determination of Postmortem Changes in Brain Tissue Samples by UHPLC-ESI-QTOF-MS and GC-EI-Q-MS" in Metabolomics (Springer, 2021), pp. 245–265.

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Authors
Yoon, J. H., Seo, Y., Jo, Y. S., Lee, S., Cho, E., Cazenave-Gassiot, A., Shin, Y.-S., Moon, M. H., An, H. J., Wenk, M. R., & Suh, P.-G.
Affiliations
  • Korea Brain Research Institute (KR)
  • Daegu Gyeongbuk Institute of Science and Technology (KR)
  • Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore.
  • Laboratory Solutions Sales, Agilent Technologies Korea Ltd., Seoul, 06621, Republic of Korea.
  • Yonsei University (KR)
  • Chungnam National University (KR)
  • National University of Singapore (SG)
Corresponding author
  • Yoon, Jong Hyuk
  • Seo, Youngsuk
Venue
Science Advances
Published
2022-09-16
Volume
8
Issue
37
Pages
eadc9317-eadc9317
ISSN
2375-2548 (ISSN-L)
OpenAlex
W4296163350
Cited by
324
References
146
Citations by year
2026: 86 · 2025: 122 · 2024: 75 · 2023: 39 · 2022: 2
FWCI
6.21
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Science Advances (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Sphingolipid Metabolism and Signaling
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Biochemistry › Lipid metabolism and biosynthesis
Keywords
brain lipidomics, brain lipids, neurodegeneration, neurological disorders, lipid dysregulation, early diagnosis, prognosis, mass spectrometry, multi-omics integration, artificial intelligence
MeSH terms
Lipidomics, Artificial Intelligence, Brain, Brain Diseases, Humans, Lipids, Lipid Metabolism

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