Summary of Study ST001888

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001047. The data can be accessed directly via it's Project DOI: 10.21228/M8C68D This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST001888
Study TitleA Metabolome Atlas of the Aging Mouse Brain (Study part II)
Study SummaryThe mammalian brain relies on neurochemistry to fulfill its functions. Yet, the complexity of the brain metabolome and its changes during diseases or aging remains poorly understood. To start bridging this gap, we generated a metabolome atlas of the aging wildtype male and female mouse brain from 10 anatomical regions spanning from adolescence to old age. We combined data from three chromatography-based mass spectrometry assays and structurally annotated 1,547 metabolites to reveal the underlying architecture of aging-induced changes in the brain metabolome. Overall differences between sexes were minimal. We found 99% of all metabolites to significantly differ between brain regions in at least one age group. We also discovered that 97% of the metabolome showed significant changes with respect to age groups. For example, we identified a shift in sphingolipid patterns during aging that is related to myelin remodeling in the transition from adolescent to aging brains. This shift was accompanied by large changes in overall signature in a range of other metabolic pathways. We found clear metabolic similarities in brain regions that were functionally related such as brain stem, cerebrum and cerebellum. In cerebrum, metabolic correlation patterns got markedly weaker in the transition from adolescent to adulthood, whereas the overall correlation patterns between all regions reflected a decreased brain segregation at old age. We were also able to map metabolic changes to gene and protein brain atlases to link molecular changes to metabolic brain phenotypes. Metabolic profiles can be investigated via https://mouse.atlas.metabolomics.us/. This new resource enables brain researchers to link new metabolomic studies to a foundation data set.
Institute
University of California, Davis
DepartmentGenome Center
LaboratoryWest Coast Metabolomics Center
Last NameDing
First NameJun
Address451 East Health Science Drive, Davis, CA, 95616, USA
Emailjunding@ucdavis.edu
Phone773-326-5420
Submit Date2021-07-25
Raw Data AvailableYes
Raw Data File Type(s)cdf, raw(Thermo)
Analysis Type DetailGC-MS/LC-MS
Release Date2021-08-30
Release Version1
Jun Ding Jun Ding
https://dx.doi.org/10.21228/M8C68D
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Project:

Project ID:PR001047
Project DOI:doi: 10.21228/M8C68D
Project Title:A Metabolome Atlas of the Aging Mouse Brain
Project Summary:The mammalian brain relies on neurochemistry to fulfill its functions. Yet, the complexity of the brain metabolome and its changes during diseases or aging remains poorly understood. To start bridging this gap, we generated a metabolome atlas of the aging mouse brain from 10 anatomical regions spanning from adolescence to late adulthood. We combined data from three chromatography-based mass spectrometry assays and structurally annotated 1,709 metabolites to reveal the underlying architecture of aging-induced changes in the brain metabolome. Overall differences between sexes were minimal. We found 94% of all metabolites to significantly differ between brain sections in at least one age group. We also discovered that 90% of the metabolome showed significant changes with respect to age groups. For example, we identified a shift in sphingolipid patterns during aging that is related to myelin remodeling in the transition from adolescent to adult brains. This shift was accompanied by large changes in overall signature in a range of other metabolic pathways. We found clear metabolic similarities in brain sections that were functionally related such as brain stem, cerebrum and cerebellum. In cerebrum, metabolic correlation patterns got markedly weaker in the transition from adolescent to ear adults, whereas correlation patterns between cerebrum and brainstem regions decreased from early to late adulthood. We were also able to map metabolic changes to gene and protein brain atlases to link molecular changes to metabolic brain phenotypes. Metabolic profiles can be investigated via https://atlas.metabolomics.us/. This new resource enables brain researchers to link new metabolomic studies to a foundation data set.
Institute:University of California, Davis
Department:Genome Center
Laboratory:West Coast Metabolomics Center
Last Name:Ding
First Name:Jun
Address:451 East Health Science Drive, Davis, CA, 95616, USA
Email:junding@ucdavis.edu
Phone:773-326-5420
Funding Source:NIH U2C ES030158
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