Evidence map›Paper›PMID 31402974›Full record

ArticleCell & bioscience2019

Deoxysphingolipids and ether-linked diacylglycerols accumulate in the tissues of aged mice.

Ayumi Ando, Masahiro Oka, Yoshinori Satomi

Open access · goldAbstract read
In one paragraph

Article in Cell & bioscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

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  8. Review
  9. Functional lipidomics of vascular endothelial cells in response to laminar shear stress.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021
    Article
  10. Review
  11. Review
  12. Tissue-specific analysis of lipid species inJournal of lipid research · 2020
    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

3 authors at 1 institution in 1 country.

Ayumi Ando1Integrated Technology Research Laboratories, Takeda Pharmaceutical Company, Ltd., 26-1, Muraoka-Higashi 2-chome, Fujisawa, Kanagawa 251-8555 Japan.ORCID 0000-0003-0449-0193
Masahiro Oka2Cardiovascular and Metabolic Drug Discovery Unit, Pharmaceutical Research Division, Takeda Pharmaceutical Company, Ltd., 26-1, Muraoka-Higashi 2-chome, Fujisawa, Kanagawa 251-8555 Japan.
Yoshinori Satomi1Integrated Technology Research Laboratories, Takeda Pharmaceutical Company, Ltd., 26-1, Muraoka-Higashi 2-chome, Fujisawa, Kanagawa 251-8555 Japan.
Takeda (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSenescence is a well-known risk factor for several diseases, such as neurodegenerative disorders. Therefore, studies exploring the mechanisms underlying aging are expected to guide the discovery of novel drug targets and biomarkers for these diseases. However, a comprehensive overview of the metabolic and lipidomic changes in healthy aging mammals is lacking. To understand the changes of metabolism with aging, especially lipid metabolism, we analyzed the metabolomes and lipidomes of the cerebral cortex, liver, femoral muscle, and epididymal fat in young and aged mice.

resultsTwo-dimensional cluster analysis revealed clear separation between the metabolite profiles of the aged and young groups. Deoxydihydroceramide (doxDHCer), deoxyceramide (doxCer), and ether-linked diacylglycerol (DAG) levels were elevated during aging.

conclusionThis is the first report of age-related variations in deoxysphingolipid and ether-linked DAG levels in mice. DoxCer, doxDHCer, and ether-linked DAGs may be associated with senescence in mammalian tissues.

Indexed as

AgingDeoxysphingolipidsEther-linked diacylglycerolLipidomicsMetabolomics

Identifiers

PMID31402974
PMCPMC6683348
OpenAlexW2964687146

What OpenQuestion holds

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Registered trials

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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.