Evidence map›Paper›PMID 37106037›Full record

ArticleNature biotechnology2024

Characterizing expression changes in noncoding RNAs during aging and heterochronic parabiosis across mouse tissues.

Viktoria Wagner, Fabian Kern, Oliver Hahn, Nicholas Schaum, Nicole Ludwig, Tobias Fehlmann, Annika Engel, Dominic Henn, Shusruto Rishik, Alina Isakova and 8 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
8.2field-weighted citation impact, top 2% 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

46 citing papers in PubMed, 53 citations in OpenAlex.

  1. Trial
  2. Inferring Gene Regulatory Networks in Stem Cells: Methods and Applications.Methods in molecular biology (Clifton, N.J.) · 2027
    Review
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  4. Article
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  7. Article
  8. Article
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  10. Research progress on blood therapy for anti-aging.Journal of advanced research · 2026
    Review
  11. Article
  12. Article
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  14. Article
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  17. Article
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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

18 authors at 5 institutions in 2 countries.

Viktoria WagnerClinical Bioinformatics, Saarland University, Saarbrücken, Germany.ORCID http://orcid.org/0000-0002-1957-0658
Fabian KernClinical Bioinformatics, Saarland University, Saarbrücken, Germany.ORCID http://orcid.org/0000-0002-8223-3750
Oliver HahnDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.
Nicholas SchaumDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.
Nicole LudwigDepartment of Human Genetics, Saarland University, Saarland, Germany.
Tobias FehlmannClinical Bioinformatics, Saarland University, Saarbrücken, Germany.ORCID http://orcid.org/0000-0003-1967-2918
Annika EngelClinical Bioinformatics, Saarland University, Saarbrücken, Germany.ORCID http://orcid.org/0000-0001-5570-3115
Dominic HennDepartment of Plastic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Shusruto RishikClinical Bioinformatics, Saarland University, Saarbrücken, Germany.
Alina IsakovaDepartment of Bioengineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-1113-6889
Michelle TanDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
Rene SitDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
Norma NeffDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
Martin HartDepartment of Human Genetics, Saarland University, Saarland, Germany.
Eckart MeeseDepartment of Human Genetics, Saarland University, Saarland, Germany.
Steve QuakeDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
Tony Wyss-CorayDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA. twc@stanford.edu.ORCID http://orcid.org/0000-0001-5893-0831
Andreas KellerClinical Bioinformatics, Saarland University, Saarbrücken, Germany. andreas.keller@ccb.uni-saarland.de.ORCID http://orcid.org/0000-0002-5361-0895
Stanford University · USSaarland University · DEHelmholtz Centre for Infection Research · DEHelmholtz Institute for Pharmaceutical Research Saarland · DEThe University of Texas Southwestern Medical Center · US

Funding

Michael J. Fox Foundation for Parkinson's Research (Michael J. Fox Foundation) MJFF-021418
6 · The paper itself

Abstract

Molecular mechanisms of organismal and cell aging remain incompletely understood. We, therefore, generated a body-wide map of noncoding RNA (ncRNA) expression in aging (16 organs at ten timepoints from 1 to 27 months) and rejuvenated mice. We found molecular aging trajectories are largely tissue-specific except for eight broadly deregulated microRNAs (miRNAs). Their individual abundance mirrors their presence in circulating plasma and extracellular vesicles (EVs) whereas tissue-specific ncRNAs were less present. For miR-29c-3p, we observe the largest correlation with aging in solid organs, plasma and EVs. In mice rejuvenated by heterochronic parabiosis, miR-29c-3p was the most prominent miRNA restored to similar levels found in young liver. miR-29c-3p targets the extracellular matrix and secretion pathways, known to be implicated in aging. We provide a map of organism-wide expression of ncRNAs with aging and rejuvenation and identify a set of broadly deregulated miRNAs, which may function as systemic regulators of aging via plasma and EVs.

Indexed as

MicroRNAsAgingAnimalsLiverMiceParabiosisMicroRNAs

Identifiers

PMID37106037
PMCPMC10791587
OpenAlexW4367176322

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.