1. A metabolome atlas of the aging mouse brain
- Author
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Xinchen Lu, Jun Ding, Ying Zhang, Lynette Bower, Oliver Fiehn, Sili Fan, Jian Ji, Christopher R. Brydges, Tong Shen, Megan R. Showalter, Renee S. Araiza, Kevin C K Lloyd, Jacob Folz, Zachary Rabow, and Sajjan S. Mehta
- Subjects
Male ,Cerebellum ,Aging ,Science ,1.1 Normal biological development and functioning ,General Physics and Astronomy ,Biology ,Article ,General Biochemistry, Genetics and Molecular Biology ,Myelin ,Mice ,Metabolomics ,Underpinning research ,Metabolome ,medicine ,Animals ,Neurochemistry ,Sphingolipids ,Multidisciplinary ,Cerebrum ,Neurosciences ,Brain ,General Chemistry ,Neural ageing ,Sphingolipid ,Ageing ,medicine.anatomical_structure ,Neurological ,Female ,sense organs ,Neuroscience ,Metabolic Networks and Pathways - Abstract
The mammalian brain relies on neurochemistry to fulfill its functions. Yet, the complexity of the brain metabolome and its changes during diseases or aging remain poorly understood. Here, we generate a metabolome atlas of the aging wildtype mouse brain from 10 anatomical regions spanning from adolescence to old age. We combine data from three assays and structurally annotate 1,547 metabolites. Almost all metabolites significantly differ between brain regions or age groups, but not by sex. A shift in sphingolipid patterns during aging related to myelin remodeling is accompanied by large changes in other metabolic pathways. Functionally related brain regions (brain stem, cerebrum and cerebellum) are also metabolically similar. In cerebrum, metabolic correlations markedly weaken between adolescence and adulthood, whereas at old age, cross-region correlation patterns reflect decreased brain segregation. We show that metabolic changes can be mapped to existing gene and protein brain atlases. The brain metabolome atlas is publicly available (https://mouse.atlas.metabolomics.us/) and serves as a foundation dataset for future metabolomic studies., Metabolites play an important role in physiology, yet the complexity of the metabolome and its interaction with disease and aging is poorly understood. Here the authors present a comprehensive atlas of the mouse brain metabolome and how it changes during aging.
- Published
- 2021