Evidence map›Paper›PMID 40507860›Full record

ArticleInternational journal of molecular sciences2025

A Novel Framework for the Design of Minimized Epigenetic Clocks Using the Analysis of DNA Methylation Heterogeneity.

Stanislav E Romanov, Dmitry I Karetnikov, Darya A Kalashnikova, Denis E Polivcev, Yakov A Osipov, Daniil A Maksimov, Polina A Antoshina, Viktor V Shloma, Ekaterina M Samoilova, Alina A Ivanova and 6 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Stanislav E RomanovEpigenetics Laboratory, Department of Natural Sciences, Novosibirsk State University, 630090 Novosibirsk, Russia.ORCID 0000-0002-5989-5756
Dmitry I KaretnikovFederal Research Center Institute of Cytology and Genetics SB RAS, 630090 Novosibirsk, Russia.
Darya A KalashnikovaEpigenetics Laboratory, Department of Natural Sciences, Novosibirsk State University, 630090 Novosibirsk, Russia.ORCID 0000-0002-0209-4616
Denis E PolivcevEpigenetics Laboratory, Department of Natural Sciences, Novosibirsk State University, 630090 Novosibirsk, Russia.
Yakov A OsipovEpigenetics Laboratory, Department of Natural Sciences, Novosibirsk State University, 630090 Novosibirsk, Russia.
Daniil A MaksimovEpigenetics Laboratory, Department of Natural Sciences, Novosibirsk State University, 630090 Novosibirsk, Russia.
Polina A AntoshinaInstitute of Molecular and Cellular Biology, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia.ORCID 0000-0003-3965-1786
Viktor V ShlomaInstitute of Molecular and Cellular Biology, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia.
Ekaterina M SamoilovaEpigenetics Laboratory, Department of Natural Sciences, Novosibirsk State University, 630090 Novosibirsk, Russia.
Alina A IvanovaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0009-0009-5266-9201
Rustam F KarimovFederal Scientific and Clinical Center for Specialized Types of Medical Care and Medical Technologies, Federal Medical and Biological Agency of Russia, 115682 Moscow, Russia.
Artem N TkalinFederal Scientific and Clinical Center for Specialized Types of Medical Care and Medical Technologies, Federal Medical and Biological Agency of Russia, 115682 Moscow, Russia.
Alexander A ShevchenkoFederal Scientific and Clinical Center for Specialized Types of Medical Care and Medical Technologies, Federal Medical and Biological Agency of Russia, 115682 Moscow, Russia.
Vladimir A KalsinEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.
Vladimir P BaklaushevEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.
Petr P LaktionovEpigenetics Laboratory, Department of Natural Sciences, Novosibirsk State University, 630090 Novosibirsk, Russia.ORCID 0000-0003-2174-6496

Funding

Russian Science Foundation 22-74-10123
6 · The paper itself

Abstract

Despite the significant progress made in the development of epigenetic age (eAge) clocks designed to estimate the various aspects of aging, currently available models, generated using large DNA methylation microarray datasets, still cannot fully address the issues of batch effects and technical variation. This hinders the use of the publicly available eAge clocks in routine laboratory practice, and it motivates the development of cost-effective, custom epigenetic clocks that are tailored to the given biological subjects and research methods. In this study, we analyzed the local DNA methylation of mesenchymal stem cell samples during culture expansion using high-throughput targeted bisulfite sequencing (BS-seq). Using the obtained data, we trained a minimized eAge model based on a Random Forest Regression with Leave-One-Out Cross-Validation, which determines cell passage with good performance (MAE 1.094 and R

Indexed as

DNA MethylationEpigenesis, GeneticAgingBiological ClocksCpG IslandsHigh-Throughput Nucleotide SequencingHumansMesenchymal Stem Cellsbisulfite sequencingDNA methylation heterogeneityeAge clocksepigenetic agemesenchymal stem cells

Identifiers

PMID40507860
PMCPMC12155483

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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.