Evidence map›Paper›PMID 38007590›Full record

ArticleNature communications2023

The rate of epigenetic drift scales with maximum lifespan across mammals.

Emily M Bertucci-Richter, Benjamin B Parrott

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–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

21 citing papers in PubMed.

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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

2 authors.

Emily M Bertucci-RichterSavannah River Ecology Laboratory, University of Georgia, Aiken, SC, 29802, USA.ORCID 0000-0002-8348-0024
Benjamin B ParrottSavannah River Ecology Laboratory, University of Georgia, Aiken, SC, 29802, USA. benparrott@srel.uga.edu.ORCID 0000-0002-2391-2470

Funding

Integrating environment-by-epigenome interactions into a tractable model of epigenetic agingR56AG078336 · NIA · UNIVERSITY OF GEORGIA · PI PARROTT, BENJAMIN BARROW · 2022 to 2022
$273k
NIA NIH HHS R56 AG078336
6 · The paper itself

Abstract

Epigenetic drift or "disorder" increases across the mouse lifespan and is suggested to underlie epigenetic clock signals. While the role of epigenetic drift in determining maximum lifespan across species has been debated, robust tests of this hypothesis are lacking. Here, we test if epigenetic disorder at various levels of genomic resolution explains maximum lifespan across four mammal species. We show that epigenetic disorder increases with age in all species and at all levels of genomic resolution tested. The rate of disorder accumulation occurs faster in shorter lived species and corresponds to species adjusted maximum lifespan. While the density of cytosine-phosphate-guanine dinucleotides ("CpGs") is negatively associated with the rate of age-associated disorder accumulation, it does not fully explain differences across species. Our findings support the hypothesis that the rate of epigenetic drift explains maximum lifespan and provide partial support for the hypothesis that CpG density buffers against epigenetic drift.

Indexed as

Epigenesis, GeneticLongevityAgingAnimalsCpG IslandsDNA MethylationMammalsMice

Identifiers

PMID38007590
PMCPMC10676422

What OpenQuestion holds

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LicenceCC BY
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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.