A class of anti-inflammatory lipids decrease with aging in the central nervous system
- PMID: 36266352
- PMCID: PMC9898107
- DOI: 10.1038/s41589-022-01165-6
A class of anti-inflammatory lipids decrease with aging in the central nervous system
Abstract
Lipids contribute to the structure, development, and function of healthy brains. Dysregulated lipid metabolism is linked to aging and diseased brains. However, our understanding of lipid metabolism in aging brains remains limited. Here we examined the brain lipidome of mice across their lifespan using untargeted lipidomics. Co-expression network analysis highlighted a progressive decrease in 3-sulfogalactosyl diacylglycerols (SGDGs) and SGDG pathway members, including the potential degradation products lyso-SGDGs. SGDGs show an age-related decline specifically in the central nervous system and are associated with myelination. We also found that an SGDG dramatically suppresses LPS-induced gene expression and release of pro-inflammatory cytokines from macrophages and microglia by acting on the NF-κB pathway. The detection of SGDGs in human and macaque brains establishes their evolutionary conservation. This work enhances interest in SGDGs regarding their roles in aging and inflammatory diseases and highlights the complexity of the brain lipidome and potential biological functions in aging.
© 2022. The Author(s), under exclusive licence to Springer Nature America, Inc.
Conflict of interest statement
COMPETING INTERESTS
The authors declare no competing interests.
Figures
















References
-
- Wenk MR The emerging field of lipidomics. Nature reviews Drug discovery 4, 594–610 (2005). - PubMed
METHODS-ONLY REFERENCES
-
- Turturro A et al. Growth curves and survival characteristics of the animals used in the Biomarkers of Aging Program. The journals of gerontology. Series A, Biological sciences and medical sciences 54, B492–501 (1999). - PubMed
-
- Bligh EG & Dyer WJ A rapid method of total lipid extraction and purification. Canadian journal of biochemistry and physiology 37, 911–917 (1959). - PubMed
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Medical