Brain lipidomics: From functional landscape to clinical significance
Open accessAbstract
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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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 measuredLipids 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].”
From Lipids in Psychiatric Disorders: Functional and Potential Diagnostic Role as Blood Biomarkers (2024) · cites this paper as [4]
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Flagged first, then by citations
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Cited by
Sorted by citations
Ren, F., Wei, J., Chen, Q., Hu, M., Yu, L., Mi, J., Zhou, X., Qin, D., Wu, J., & Wu, A. (2025) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2025.07.030 · Cited by 97 · see citing works
Extracellular vesicles: New horizons in neurodegeneration
Chen, J., Tian, C., Xiong, X., Yang, Y., & Zhang, J. (2025) · eBioMedicine · doi:10.1016/j.ebiom.2025.105605 · Cited by 53 · see citing works
Lipids in Psychiatric Disorders: Functional and Potential Diagnostic Role as Blood Biomarkers
Zorkina, Y., Ushakova, V., Ochneva, A., Tsurina, A., Abramova, O., Savenkova, V., Goncharova, A., Alekseenko, I., Morozova, I., Riabinina, D., et al. (2024) · Metabolites · doi:10.3390/metabo14020080 · Cited by 36 · see citing works
Li, H., Zhao, Z., Zhu, L., Tan, Y., Zhang, Z., Zhang, Z., Kang, J., Lu, H., Peng, W., & Wu, Q. (2026) · Journal of Advanced Research · doi:10.1016/j.jare.2025.08.044 · Cited by 3 · see citing works
Hsu, C.-H., Chu, P.-W., Chen, Y.-Y., Ho, M.-H., Liao, E.-C., & Chen, S.-K. (2026) · Neurochemical Research · doi:10.1007/s11064-026-04842-3
- 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
- ORCID
- Venue
- Science Advances
- Published
- 2022-09-16
- Volume
- 8
- Issue
- 37
- Pages
- eadc9317-eadc9317
- ISSN
- 2375-2548 (ISSN-L)
- PMC
- PMC9481132
- 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
- gold
- doi.org
- 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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