Evidence map›Paper›PMID 27063670›Full record

ArticleScientific reports2016

The Brain Metabolome of Male Rats across the Lifespan.

Xiaojiao Zheng, Tianlu Chen, Aihua Zhao, Xiaoyan Wang, Guoxiang Xie, Fengjie Huang, Jiajian Liu, Qing Zhao, Shouli Wang, Chongchong Wang and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

39 citing papers in PubMed, 66 citations in OpenAlex.

  1. Review
  2. Metabolic Biomarkers for Lifespan Extension and Cellular Stress inPreventive nutrition and food science · 2025
    Article
  3. Article
  4. Underneath the Gut-Brain Axis in IBD-Evidence of the Non-Obvious.International journal of molecular sciences · 2024
    Review
  5. Daily Brain Metabolic Rhythms of Wild Nocturnal Bats.International journal of molecular sciences · 2024
    Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Metabolomics in aging research: aging markers from organs.Frontiers in cell and developmental biology · 2023
    Review
  12. Article
  13. KL1 Domain of Longevity Factor Klotho Mimics the Metabolome of Cognitive Stimulation and Enhances Cognition in Young and Aging Mice.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Simultaneous Determination of Five Bile Acids as Potential Biomarkers for Alzheimer's Disease in Mouse Brain and Plasma.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2021
    Article
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

14 authors at 6 institutions in 2 countries.

Xiaojiao ZhengShanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China.
Tianlu ChenShanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China.
Aihua ZhaoShanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China.
Xiaoyan WangMinistry of Education Key Laboratory of Systems Biomedicine, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai 200240, China.
Guoxiang XieUniversity of Hawaii Cancer Center, Honolulu 96813, USA.
Fengjie HuangShanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China.
Jiajian LiuShanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China.
Qing ZhaoShanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China.
Shouli WangShanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China.
Chongchong WangMinistry of Education Key Laboratory of Systems Biomedicine, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai 200240, China.
Mingmei ZhouCenter for Chinese Medical Therapy and Systems Biology, E-Institute, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
Jun PaneeUniversity of Hawaii Cancer Center, Honolulu 96813, USA.
Zhigang HeF. M. Kirby Neurobiology Center, Children's Hospital, and Department of Neurology, Harvard Medical School, Boston, MA 02115, USA.
Wei JiaShanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China.
Shanghai Sixth People's Hospital · CNShanghai Jiao Tong University · CNUniversity of Hawaii System · USCancer Center of Hawaii · USHarvard University · USShanghai University of Traditional Chinese Medicine · CN

Funding

RESEARCH DESIGN AND BIOSTATISTICS COREU54MD007584 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI MOKUAU, NOREEN, SHIRAMIZU, BRUCE T · 2012 to 2018
$21.1M
NIMHD NIH HHS U54 MD007584
6 · The paper itself

Abstract

Comprehensive and accurate characterization of brain metabolome is fundamental to brain science, but has been hindered by technical limitations. We profiled the brain metabolome in male Wistar rats at different ages (day 1 to week 111) using high-sensitivity and high-resolution mass spectrometry. Totally 380 metabolites were identified and 232 of them were quantitated. Compared with anatomical regions, age had a greater effect on variations in the brain metabolome. Lipids, fatty acids and amino acids accounted for the largest proportions of the brain metabolome, and their concentrations varied across the lifespan. The levels of polyunsaturated fatty acids were higher in infancy (week 1 to week 3) compared with later ages, and the ratio of omega-6 to omega-3 fatty acids increased in the aged brain (week 56 to week 111). Importantly, a panel of 20 bile acids were quantitatively measured, most of which have not previously been documented in the brain metabolome. This study extends the breadth of the mammalian brain metabolome as well as our knowledge of functional brain development, both of which are critically important to move the brain science forward.

Indexed as

LongevityAmino AcidsAnimalsBile Acids and SaltsBrainChromatography, High Pressure LiquidCluster AnalysisFatty Acids, Omega-3Fatty Acids, Omega-6Least-Squares AnalysisMaleMass SpectrometryRatsRats, WistarAmino AcidsBile Acids and SaltsFatty Acids, Omega-3Fatty Acids, Omega-6

Identifiers

PMID27063670
PMCPMC4827083
OpenAlexW2315666858

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.