Evidence map›Paper›PMID 38594255›Full record

ArticleNature communications2024

Nonlinear DNA methylation trajectories in aging male mice.

Maja Olecka, Alena van Bömmel, Lena Best, Madlen Haase, Silke Foerste, Konstantin Riege, Thomas Dost, Stefano Flor, Otto W Witte, Sören Franzenburg and 5 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
6.8field-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

24 citing papers in PubMed, 29 citations in OpenAlex.

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  13. Molecular Framework of the Onset and Progression of Skeletal Muscle Aging.International journal of molecular sciences · 2025
    Review
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  15. Quiescence Multiverse.Biomolecules · 2025
    Review
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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

15 authors at 3 institutions in 1 country.

Maja Olecka *Hoffmann Lab, Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), Beutenbergstrasse 11, 07745, Jena, Germany.ORCID http://orcid.org/0000-0003-0353-0368
Alena van Bömmel *Hoffmann Lab, Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), Beutenbergstrasse 11, 07745, Jena, Germany.ORCID http://orcid.org/0000-0002-8434-8586
Lena BestResearch Group Medical Systems Biology, Institute for Experimental Medicine, University of Kiel and University Medical Center Schleswig-Holstein, 24105, Kiel, Germany.ORCID http://orcid.org/0000-0003-2772-153X
Madlen HaaseDepartment of Neurology, Jena University Hospital, Am Klinikum 1, 07747, Jena, Germany.
Silke FoersteHoffmann Lab, Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), Beutenbergstrasse 11, 07745, Jena, Germany.
Konstantin RiegeHoffmann Lab, Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), Beutenbergstrasse 11, 07745, Jena, Germany.
Thomas DostResearch Group Medical Systems Biology, Institute for Experimental Medicine, University of Kiel and University Medical Center Schleswig-Holstein, 24105, Kiel, Germany.ORCID http://orcid.org/0000-0001-9904-4975
Stefano FlorResearch Group Medical Systems Biology, Institute for Experimental Medicine, University of Kiel and University Medical Center Schleswig-Holstein, 24105, Kiel, Germany.ORCID http://orcid.org/0009-0008-8930-3177
Otto W WitteDepartment of Neurology, Jena University Hospital, Am Klinikum 1, 07747, Jena, Germany.
Sören FranzenburgInstitute of Clinical Molecular Biology, Kiel University and University Medical Center Schleswig-Holstein, 24105, Kiel, Germany.ORCID http://orcid.org/0000-0001-6374-4910
Marco GrothHoffmann Lab, Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), Beutenbergstrasse 11, 07745, Jena, Germany.ORCID http://orcid.org/0000-0002-9199-8990
Björn von EyssHoffmann Lab, Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), Beutenbergstrasse 11, 07745, Jena, Germany.ORCID http://orcid.org/0000-0002-4731-6841
Christoph KaletaResearch Group Medical Systems Biology, Institute for Experimental Medicine, University of Kiel and University Medical Center Schleswig-Holstein, 24105, Kiel, Germany.ORCID http://orcid.org/0000-0001-8004-9514
Christiane FrahmDepartment of Neurology, Jena University Hospital, Am Klinikum 1, 07747, Jena, Germany.
Steve HoffmannHoffmann Lab, Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), Beutenbergstrasse 11, 07745, Jena, Germany. Steve.Hoffmann@leibniz-fli.de.ORCID http://orcid.org/0000-0002-5239-7201
Leibniz Institute on Aging - Fritz Lipmann Institute (FLI) · DEJena University Hospital · DEChristian-Albrechts-Universität zu Kiel · DE

Funding

Carl-Zeiss-Stiftung (Carl Zeiss Foundation) P2019-01-006Deutsche Forschungsgemeinschaft (German Research Foundation) 418087534EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 859890Leibniz-Gemeinschaft (Leibniz Association) LFV-2021-2-LIR
6 · The paper itself

Abstract

Although DNA methylation data yields highly accurate age predictors, little is known about the dynamics of this quintessential epigenomic biomarker during lifespan. To narrow the gap, we investigate the methylation trajectories of male mouse colon at five different time points of aging. Our study indicates the existence of sudden hypermethylation events at specific stages of life. Precisely, we identify two epigenomic switches during early-to-midlife (3-9 months) and mid-to-late-life (15-24 months) transitions, separating the rodents' life into three stages. These nonlinear methylation dynamics predominantly affect genes associated with the nervous system and enrich in bivalently marked chromatin regions. Based on groups of nonlinearly modified loci, we construct a clock-like classifier STageR (STage of aging estimatoR) that accurately predicts murine epigenetic stage. We demonstrate the universality of our clock in an independent mouse cohort and with publicly available datasets.

Indexed as

DNA MethylationEpigenesis, GeneticAgingAnimalsChromatinHumansLongevityMaleMiceChromatin

Identifiers

PMID38594255
PMCPMC11004021
OpenAlexW4394599085

What OpenQuestion holds

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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.