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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Sample Preparation:

Sampleprep ID:SP001972
Sampleprep Summary:Five milligrams of tissue from each brain region were homogenized in 225 µL of -20˚C cold, internal standard-containing methanol using a GenoGrinder 2010 (SPEX SamplePrep) for 2min at 1,350 rpm. The homogenate was vortexed for 10s. 750 µL of -20˚C cold, internal standard-containing methyl tertiary-butyl ether (MTBE) was added, and the mixture was vortexed for 10 s and shaken at 4˚C for 5min with an Orbital Mixing Chilling/Heating Plate (Torrey Pines Scientific Instruments). MTBE contained cholesteryl ester 22:1 as internal standard. Next, 188 µL room temperature water was added and vortexed for 20s to induce phase separation. After centrifugation for 2min at 14,000 g, two 350 µL aliquots of the upper non-polar phase and two 125 µL aliquots of the bottom polar phase were collected and dried down. Remaining fractions were combined to form QC pools and were injected after every set of 10 biological samples. The non-polar phase employed for lipidomics was resuspended in a mixture of methanol/toluene (60 µL, 9:1, v/v) containing an internal standard [12-[(cyclohexylamino) carbonyl]amino]-dodecanoic acid (CUDA)] before injection. Resuspension of dried polar phases for HILIC analysis was performed in a mixture of internal standard-containing acetonitrile/water (90 µL, 4:1, v/v). The second dried polar phase was reserved for GC analysis and a following derivatization process was carried out before injection. First, carbonyl groups were protected by methoximation with methoxyamine hydrochloride in pyridine (40 mg/mL, 10 µL) was added to the dried samples. Then, the mixture was incubated at 30˚C for 90 min followed by trimethylsilylation with N-methyl-N-(trimethylsilyl) trifluoroacetamide (MSTFA, 90 μL) containing C8–C30 fatty acid methyl esters (FAMEs) as internal standards by shaking at 37˚C for 30min.
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