A metabolome atlas of the aging mouse brain.

A metabolome atlas of the aging mouse brain.
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DOI:
10.1038/s41467-021-26310-y
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发表时间:
2021-10-15
影响因子:
16.6
通讯作者:
Fiehn O
Fiehn O
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Ding J;Ji J;Rabow Z;Shen T;Folz J;Brydges CR;Fan S;Lu X;Mehta S;Showalter MR;Zhang Y;Araiza R;Bower LR;Lloyd KCK;Fiehn O

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哺乳动物的大脑依赖于神经化学来完成其功能。然而,大脑代谢组的复杂性及其在疾病或衰老过程中的变化仍然知之甚少。在这里,我们生成了一个代谢图谱的老化野生型小鼠大脑从10个解剖区域,从青春期到老年。我们结合联合收割机的数据,从三个分析和结构注释1,547代谢物。几乎所有的代谢物在大脑区域或年龄组之间都有显著差异,但在性别之间没有差异。与髓鞘重塑相关的衰老期间鞘脂模式的转变伴随着其他代谢途径的巨大变化。功能相关的大脑区域(脑干、大脑和小脑)在代谢上也相似。在大脑中,代谢相关性在青春期和成年期之间明显减弱,而在老年,跨区域相关模式反映了大脑隔离的减少。我们表明,代谢变化可以映射到现有的基因和蛋白质大脑图谱。脑代谢组图谱是公开的(https://mouse.atlas.metabolomics.us/),并作为未来代谢组学研究的基础数据集。代谢组在生理学中起着重要作用,但代谢组的复杂性及其与疾病和衰老的相互作用却知之甚少。在这里,作者提出了一个全面的图谱小鼠大脑代谢组,以及它如何在衰老过程中变化。
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.
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