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Lipid metabolism and storage in neuroglia: role in brain development and neurodegenerative diseases
Open accessAbstract
The importance of neuroglia in maintaining normal brain function under physiological and pathological conditions has been supported by growing evidence in recent years. The most important issues regarding glial metabolism and function include the cooperation between glial populations and neurons, morphological and functional changes in pathological states, and the role in the onset and progression of neurodegenerative diseases. Although lipid accumulation and further lipid droplet production in neurodegenerative disease brain models have been observed for a long time, the dynamic development of brain lipid droplet research in recent years suggests its role in the development and progression of neurodegenerative diseases was previously underestimated. First recognized as organelles of lipid storage, lipid droplets (LDs) have emerged as an important organelle in metabolic diseases, inflammation, and host defense. Dynamic changes in lipid metabolism within neurons and glial cells resulting in lipid accumulation and lipid droplet formation are present in brain models of various neurodegenerative diseases, yet their role in the brain remains largely unexplored. This paper first reviews the metabolism and accumulation of several major lipids in the brain and discusses the regulation of lipid accumulation in different types of brain cells. We explore the potential role of intracellular lipid accumulation in the pathogenesis of neurodegeneration, starting from lipid metabolism and LDs biogenesis in glial cells, and discuss several pathological factors that promote lipid droplet formation, mainly focusing on oxidative stress, energy metabolism and glial cell-neuron coupling, which are closely related to the etiology and progression of neurodegenerative diseases. Finally, the directions and challenges of intracellular lipid metabolism in glial cells in neurodegeneration are discussed.
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“Importantly, cholesterol dysregulation6–9 and lipid dyshomeostasis8,10–15 have been identified in several neurodegenerative diseases.”
From GRAMD1B is a regulator of lipid homeostasis, autophagic flux and phosphorylated tau (2025) · cites this paper as [11]
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“In our studies, we have found that iNeurons are more resistant to the proteostatic stress induced by heavy metal toxicity.164”
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Metadata
- Authors
- Yang, D., Wang, X., Zhang, L., Fang, Y., Zheng, Q., Liu, X., Yu, W., Chen, S., Ying, J., & Hua, F.
- Affiliations
- Second Affiliated Hospital of Nanchang University (CN)
- First Affiliated Hospital of Nanchang University (CN)
- Corresponding author
- Ying, Jun
- Hua, Fuzhou
- Venue
- Cell & Bioscience
- Published
- 2022-07-12
- Volume
- 12
- Issue
- 1
- Pages
- 106-106
- ISSN
- 2045-3701 (ISSN-L)
- PMC
- PMC9277953
- OpenAlex
- W4285093609
- Cited by
- 179
- References
- 135
- Citations by year
- 2026: 46 · 2025: 64 · 2024: 40 · 2023: 28 · 2022: 1
- FWCI
- 3.60
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Cell & Bioscience (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China (82060219, 81860259)
- Natural Science Foundation of Jiangxi Province (20212ACB216009, 20202BAB206033, 20212BAB216048)
- Nanchang University (20192BAB215042)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biochemistry › Lipid metabolism and biosynthesis
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Life Sciences › Neuroscience › Neurology › Neurological diseases and metabolism
- Keywords
- glial cells, lipid metabolism, lipid droplets, neurodegenerative diseases, brain development, lipid accumulation, oxidative stress, energy metabolism, lipid droplet formation, intracellular lipid metabolism
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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