Evidence map›Paper›PMID 33562384›Full record

ArticleBiomolecules2021

Tissue-Specific Landscape of Metabolic Dysregulation during Ageing.

Fangrong Zhang, Jakob Kerbl-Knapp, Alena Akhmetshina, Melanie Korbelius, Katharina Barbara Kuentzel, Nemanja Vujić, Gerd Hörl, Margret Paar, Dagmar Kratky, Ernst Steyrer and 1 more

Abstract read
In one paragraph

Article in Biomolecules, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  18. Metabolomics in aging research: aging markers from organs.Frontiers in cell and developmental biology · 2023
    Review
  19. PhosphatidylethanolamineBiomolecules · 2022
    Article
  20. 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

11 authors.

Fangrong ZhangGottfried Schatz Research Center for Cell Signaling, Metabolism and Ageing, Molecular Biology and Biochemistry, Medical University of Graz, 8010 Graz, Austria.ORCID 0000-0002-8974-2902
Jakob Kerbl-KnappGottfried Schatz Research Center for Cell Signaling, Metabolism and Ageing, Molecular Biology and Biochemistry, Medical University of Graz, 8010 Graz, Austria.
Alena AkhmetshinaGottfried Schatz Research Center for Cell Signaling, Metabolism and Ageing, Molecular Biology and Biochemistry, Medical University of Graz, 8010 Graz, Austria.
Melanie KorbeliusGottfried Schatz Research Center for Cell Signaling, Metabolism and Ageing, Molecular Biology and Biochemistry, Medical University of Graz, 8010 Graz, Austria.
Katharina Barbara KuentzelGottfried Schatz Research Center for Cell Signaling, Metabolism and Ageing, Molecular Biology and Biochemistry, Medical University of Graz, 8010 Graz, Austria.
Nemanja VujićGottfried Schatz Research Center for Cell Signaling, Metabolism and Ageing, Molecular Biology and Biochemistry, Medical University of Graz, 8010 Graz, Austria.
Gerd HörlOtto-Loewi Research Center, Physiological Chemistry, Medical University of Graz, 8010 Graz, Austria.
Margret PaarOtto-Loewi Research Center, Physiological Chemistry, Medical University of Graz, 8010 Graz, Austria.
Dagmar KratkyGottfried Schatz Research Center for Cell Signaling, Metabolism and Ageing, Molecular Biology and Biochemistry, Medical University of Graz, 8010 Graz, Austria.ORCID 0000-0003-1357-7573
Ernst SteyrerGottfried Schatz Research Center for Cell Signaling, Metabolism and Ageing, Molecular Biology and Biochemistry, Medical University of Graz, 8010 Graz, Austria.
Tobias MadlGottfried Schatz Research Center for Cell Signaling, Metabolism and Ageing, Molecular Biology and Biochemistry, Medical University of Graz, 8010 Graz, Austria.ORCID 0000-0002-9725-5231

Funding

Austrian Science Fund FWF DOC 31Austrian Science Fund FWF I 3792Austrian Science Fund FWF P 28854Austrian Science Fund FWF P 30882Austrian Science Fund FWF P 32400Austrian Science Fund FWF W 1226
6 · The paper itself

Abstract

The dysregulation of cellular metabolism is a hallmark of ageing. To understand the metabolic changes that occur as a consequence of the ageing process and to find biomarkers for age-related diseases, we conducted metabolomic analyses of the brain, heart, kidney, liver, lung and spleen in young (9-10 weeks) and old (96-104 weeks) wild-type mice [mixed genetic background of 129/J and C57BL/6] using NMR spectroscopy. We found differences in the metabolic fingerprints of all tissues and distinguished several metabolites to be altered in most tissues, suggesting that they may be universal biomarkers of ageing. In addition, we found distinct tissue-clustered sets of metabolites throughout the organism. The associated metabolic changes may reveal novel therapeutic targets for the treatment of ageing and age-related diseases. Moreover, the identified metabolite biomarkers could provide a sensitive molecular read-out to determine the age of biologic tissues and organs and to validate the effectiveness and potential off-target effects of senolytic drug candidates on both a systemic and tissue-specific level.

Indexed as

AgingAnimalsBiomarkersBrainFemaleKidneyLiverLungMagnetic Resonance SpectroscopyMetabolomicsMiceMice, Inbred C57BLMyocardiumSpleenBiomarkersageingbiomarkermetabolomicstissue-specific

Identifiers

PMID33562384
PMCPMC7914945

What OpenQuestion holds

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LicenceCC BY
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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.