Evidence map›Paper›PMID 29466246›Full record

ArticleAging2018

Modified aging of elite athletes revealed by analysis of epigenetic age markers.

Magdalena Spólnicka, Ewelina Pośpiech, Jakub Grzegorz Adamczyk, Ana Freire-Aradas, Beata Pepłońska, Renata Zbieć-Piekarska, Żanetta Makowska, Anna Pięta, Maria Victoria Lareu, Christopher Phillips and 3 more

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

Article in Aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

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  13. TheMetabolites · 2024
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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

13 authors at 6 institutions in 2 countries.

Magdalena SpólnickaCentral Forensic Laboratory of the Police, Warsaw, Poland.
Ewelina PośpiechMalopolska Centre of Biotechnology of the Jagiellonian University, Krakow, Poland.
Jakub Grzegorz AdamczykDepartment of Theory of Sport, Józef Pilsudski University of Physical Education in Warsaw, Warsaw, Poland.
Ana Freire-AradasForensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Santiago de Compostela, Spain.
Beata PepłońskaLaboratory of Neurogenetics, Department of Neurodegenerative Disorders, Mossakowski Medical Research Centre, Polish Academy of Sciences, Warsaw, Poland.
Renata Zbieć-PiekarskaCentral Forensic Laboratory of the Police, Warsaw, Poland.
Żanetta MakowskaCentral Forensic Laboratory of the Police, Warsaw, Poland.
Anna PiętaCentral Forensic Laboratory of the Police, Warsaw, Poland.
Maria Victoria LareuForensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Santiago de Compostela, Spain.
Christopher PhillipsForensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Santiago de Compostela, Spain.
Rafał PłoskiDepartment of Medical Genetics, Centre for Biostructure, Medical University of Warsaw, Warsaw, Poland.
Cezary ŻekanowskiDepartment of Theory of Sport, Józef Pilsudski University of Physical Education in Warsaw, Warsaw, Poland.
Wojciech BranickiCentral Forensic Laboratory of the Police, Warsaw, Poland.
Centralne Laboratorium Kryminalistyczne Policji · PLUniversidade de Santiago de Compostela · ESMedical University of Warsaw · PLJagiellonian University · PLJózef Piłsudski University of Physical Education in Warsaw · PLMossakowski Medical Research Institute, Polish Academy of Sciences · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent progress in epigenomics has led to the development of prediction systems that enable accurate age estimation from DNA methylation data. Our objective was to track responses to intense physical exercise of individual age-correlated DNA methylation markers and to infer their potential impact on the aging processes. The study showed accelerated DNA hypermethylation for two CpG sites in

Indexed as

AdultAgingAthletesCase-Control StudiesDNA MethylationEpigenomicsExerciseFemaleGenetic MarkersHumansIntracellular Signaling Peptides and ProteinsKruppel-Like Transcription FactorsMaleMembrane ProteinsMetalloproteinsSp Transcription FactorsGenetic MarkersIntracellular Signaling Peptides and ProteinsKLF14 protein, humanKruppel-Like Transcription FactorsMembrane ProteinsMetalloproteinsSp Transcription FactorsTRIM59 protein, humanTripartite Motif ProteinsagingDNA methylationelite athletesepigenetic ageintense physical exerciseKLF14TRIM59

Identifiers

PMID29466246
PMCPMC5842850
OpenAlexW2789939391

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.