A metabolome atlas of the aging mouse brain

被引：142

作者：

Ding, Jun ^{[1
,2
]}

Ji, Jian ^{[3
]}

Rabow, Zachary ^{[1
]}

Shen, Tong ^{[1
]}

Folz, Jacob ^{[1
]}

Brydges, Christopher R. ^{[1
]}

Fan, Sili ^{[1
]}

Lu, Xinchen ^{[1
]}

Mehta, Sajjan ^{[1
]}

Showalter, Megan R. ^{[1
]}

Zhang, Ying ^{[1
]}

Araiza, Renee ^{[4
,5
]}

Bower, Lynette R. ^{[4
,5
]}

Lloyd, K. C. Kent ^{[4
,5
]}

Fiehn, Oliver ^{[1
]}

机构：

[1] Univ Calif Davis, West Coast Metabol Ctr, UC Davis Genome Ctr, 451 Hlth Sci Dr, Davis, CA 95616 USA

[2] Wuhan Univ, Dept Chem, Wuhan 430072, Hubei, Peoples R China

[3] Jiangnan Univ, Natl Engn Res Ctr Funct Foods, Synerget Innovat Ctr Food Safety & Nutr, Sch Food Sci,State Key Lab Food Sci & Technol, Wuxi 214122, Jiangsu, Peoples R China

[4] Univ Calif Davis, Sch Med, Mouse Biol Program, Davis, CA 95618 USA

[5] Univ Calif Davis, Sch Med, Dept Surg, Davis, CA 95618 USA

来源：

NATURE COMMUNICATIONS | 2021年 / 12卷 / 01期

基金：

中国博士后科学基金;

关键词：

GENE-EXPRESSION; MASS-SPECTROMETRY; RESTING-STATE; OLIGODENDROCYTE; MYELIN; CONNECTIVITY; DYNAMICS; CELLS;

D O I：

10.1038/s41467-021-26310-y

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页数：12

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