Evidence map›Paper›PMID 34654818›Full record

ArticleNature communications2021

A metabolome atlas of the aging mouse brain.

Jun Ding, Jian Ji, Zachary Rabow, Tong Shen, Jacob Folz, Christopher R Brydges, Sili Fan, Xinchen Lu, Sajjan Mehta, Megan R Showalter and 5 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 137 papers.

0numbers the graph read from it
0cells of the map it votes in
137citing papers in PubMed
11.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

137 citing papers in PubMed, 211 citations in OpenAlex.

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  13. Enhancing the Sensitivity of Mass Spectrometry Imaging through Spatial Signal Averaging.Journal of the American Society for Mass Spectrometry · 2026
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  15. Review
  16. CorrelandJournal of the American Society for Mass Spectrometry · 2026
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77 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 3 institutions in 2 countries.

Jun DingWest Coast Metabolomics Center, UC Davis Genome Center, University of California, Davis, 451 Health Sciences Drive, Davis, CA, 95616, USA.
Jian JiSchool of Food Science, State Key Laboratory of Food Science and Technology, National Engineering Research Center for Functional Foods, Synergetic Innovation Center of Food Safety and Nutrition, Jiangnan University, 214122, Wuxi, Jiangsu, P.R. China.
Zachary RabowWest Coast Metabolomics Center, UC Davis Genome Center, University of California, Davis, 451 Health Sciences Drive, Davis, CA, 95616, USA.ORCID 0000-0001-6213-4950
Tong ShenWest Coast Metabolomics Center, UC Davis Genome Center, University of California, Davis, 451 Health Sciences Drive, Davis, CA, 95616, USA.
Jacob FolzWest Coast Metabolomics Center, UC Davis Genome Center, University of California, Davis, 451 Health Sciences Drive, Davis, CA, 95616, USA.
Christopher R BrydgesWest Coast Metabolomics Center, UC Davis Genome Center, University of California, Davis, 451 Health Sciences Drive, Davis, CA, 95616, USA.ORCID 0000-0001-5901-638X
Sili FanWest Coast Metabolomics Center, UC Davis Genome Center, University of California, Davis, 451 Health Sciences Drive, Davis, CA, 95616, USA.
Xinchen LuWest Coast Metabolomics Center, UC Davis Genome Center, University of California, Davis, 451 Health Sciences Drive, Davis, CA, 95616, USA.
Sajjan MehtaWest Coast Metabolomics Center, UC Davis Genome Center, University of California, Davis, 451 Health Sciences Drive, Davis, CA, 95616, USA.ORCID 0000-0002-7764-3886
Megan R ShowalterWest Coast Metabolomics Center, UC Davis Genome Center, University of California, Davis, 451 Health Sciences Drive, Davis, CA, 95616, USA.
Ying ZhangWest Coast Metabolomics Center, UC Davis Genome Center, University of California, Davis, 451 Health Sciences Drive, Davis, CA, 95616, USA.ORCID 0000-0002-6528-656X
Renee AraizaMouse Biology Program, and Department of Surgery, School of Medicine, University of California, Davis, Davis, CA, 95618, USA.
Lynette R BowerMouse Biology Program, and Department of Surgery, School of Medicine, University of California, Davis, Davis, CA, 95618, USA.
K C Kent LloydMouse Biology Program, and Department of Surgery, School of Medicine, University of California, Davis, Davis, CA, 95618, USA.ORCID 0000-0002-5318-4144
Oliver FiehnWest Coast Metabolomics Center, UC Davis Genome Center, University of California, Davis, 451 Health Sciences Drive, Davis, CA, 95616, USA. ofiehn@ucdavis.edu.ORCID 0000-0002-6261-8928
University of California, Davis · USJiangnan University · CNWuhan University · CN

Funding

Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI FRED H GAGE · 2004 to 2026
$102.6M
KOMP2-Phase3 Production and Phenotyping by the DTCC Consortium TCP Transfer to UC DavisUM1OD023221 · OD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KC KENT LLOYD · 2016 to 2026
$45.7M
National Metabolomics Data Repository - nextgen Metabolomics WorkbenchU2CDK119886 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUBRAMANIAM, SHANKAR · 2018 to 2021
$12.7M
West Coast Metabolomics Center for Compound IdentificationU2CES030158 · NIEHS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI FIEHN, OLIVER · 2018 to 2021
$4.1M
Integrative Omics to enhance therapeutics development for healthy agingUH3AG064706 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI MILLER, RICHARD A, SCHORK, NICHOLAS JOSEPH · 2021 to 2024
$3.3M
NIA NIH HHS U19 AG023122NIA NIH HHS UH3 AG064706NIDDK NIH HHS U2C DK119886NIEHS NIH HHS U2C ES030158NIH HHS UM1 OD023221
6 · The paper itself

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.

Indexed as

MetabolomeAgingAnimalsBrainCerebellumFemaleMaleMetabolic Networks and PathwaysMetabolomicsMiceSphingolipidsSphingolipids

Identifiers

PMID34654818
PMCPMC8519999
OpenAlexW3206687244

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.