Evidence map›Paper›PMID 34360722›Full record

ArticleInternational journal of molecular sciences2021

Common Muscle Metabolic Signatures Highlight Arginine and Lysine Metabolism as Potential Therapeutic Targets to Combat Unhealthy Aging.

Janina Tokarz, Gabriele Möller, Anna Artati, Simone Huber, Anja Zeigerer, Bert Blaauw, Jerzy Adamski, Kenneth Allen Dyar

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

20 citing papers in PubMed, 22 citations in OpenAlex.

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  20. Editorial: Nutrition and the Hallmarks of Aging.The journal of nutrition, health & aging · 2021
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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

8 authors at 4 institutions in 4 countries.

Janina TokarzInstitute for Diabetes and Cancer, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany.ORCID 0000-0003-4344-4149
Gabriele MöllerInstitute for Diabetes and Cancer, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany.
Anna ArtatiMetabolomics and Proteomics Core, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany.
Simone HuberMetabolomics and Proteomics Core, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany.
Anja ZeigererInstitute for Diabetes and Cancer, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany.
Bert BlaauwDepartment of Biomedical Sciences, University of Padova, 35129 Padova, Italy.
Jerzy AdamskiInstitute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany.ORCID 0000-0001-9259-0199
Kenneth Allen DyarInstitute for Diabetes and Cancer, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany.ORCID 0000-0002-9010-8757
Helmholtz Zentrum München · DEHeidelberg University · DEUniversity of Ljubljana · SIUniversity of Padua · IT

Funding

Helmholtz Association ExNet-0041-Phase2-3 ("SyNergy-HMGU")
6 · The paper itself

Abstract

Biological aging research is expected to reveal modifiable molecular mechanisms that can be harnessed to slow or possibly reverse unhealthy trajectories. However, there is first an urgent need to define consensus molecular markers of healthy and unhealthy aging. Established aging hallmarks are all linked to metabolism, and a 'rewired' metabolic circuitry has been shown to accelerate or delay biological aging. To identify metabolic signatures distinguishing healthy from unhealthy aging trajectories, we performed nontargeted metabolomics on skeletal muscles from 2-month-old and 21-month-old mice, and after dietary and lifestyle interventions known to impact biological aging. We hypothesized that common metabolic signatures would highlight specific pathways and processes promoting healthy aging, while revealing the molecular underpinnings of unhealthy aging. Here, we report 50 metabolites that commonly distinguished aging trajectories in all cohorts, including 18 commonly reduced under unhealthy aging and 32 increased. We stratified these metabolites according to known relationships with various aging hallmarks and found the greatest associations with oxidative stress and nutrient sensing. Collectively, our data suggest interventions aimed at maintaining skeletal muscle arginine and lysine may be useful therapeutic strategies to minimize biological aging and maintain skeletal muscle health, function, and regenerative capacity in old age.

Indexed as

Oxidative StressSignal TransductionAgingAnimalsArginineLysineMaleMiceMuscle, SkeletalArginineLysineagingdietexerciselifestylemetabolic signaturesmetabolomicsskeletal muscle

Identifiers

PMID34360722
PMCPMC8348621
OpenAlexW3185403879

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.