Evidence map›Paper›PMID 39072888›Full record

ArticleAging cell2024

Epistemic uncertainty challenges aging clock reliability in predicting rejuvenation effects.

Dmitrii Kriukov, Ekaterina Kuzmina, Evgeniy Efimov, Dmitry V Dylov, Ekaterina E Khrameeva

Abstract read
In one paragraph

Article in Aging cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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  6. No winners or losers: clinical chemistry-based biological aging metrics perform similarly across cohorts and health outcomes.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
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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

5 authors.

Dmitrii KriukovSkolkovo Institute of Science and Technology, Moscow, Russia.ORCID 0000-0001-7629-2466
Ekaterina KuzminaSkolkovo Institute of Science and Technology, Moscow, Russia.
Evgeniy EfimovSkolkovo Institute of Science and Technology, Moscow, Russia.
Dmitry V DylovSkolkovo Institute of Science and Technology, Moscow, Russia.
Ekaterina E KhrameevaSkolkovo Institute of Science and Technology, Moscow, Russia.

Funding

Skolkovo Institute of Science and Technology - University of Sharjah Joint Projects: Artificial Intelligence for Life
6 · The paper itself

Abstract

Epigenetic aging clocks have been widely used to validate rejuvenation effects during cellular reprogramming. However, these predictions are unverifiable because the true biological age of reprogrammed cells remains unknown. We present an analytical framework to consider rejuvenation predictions from the uncertainty perspective. Our analysis reveals that the DNA methylation profiles across reprogramming are poorly represented in the aging data used to train clock models, thus introducing high epistemic uncertainty in age estimations. Moreover, predictions of different published clocks are inconsistent, with some even suggesting zero or negative rejuvenation. While not questioning the possibility of age reversal, we show that the high clock uncertainty challenges the reliability of rejuvenation effects observed during in vitro reprogramming before pluripotency and throughout embryogenesis. Conversely, our method reveals a significant age increase after in vivo reprogramming. We recommend including uncertainty estimation in future aging clock models to avoid the risk of misinterpreting the results of biological age prediction.

Indexed as

AgingRejuvenationAnimalsBiological ClocksCellular ReprogrammingCellular SenescenceDNA MethylationEpigenesis, GeneticHumansMiceReproducibility of ResultsUncertaintycell reprogrammingdataset shiftDNA methylationepigenetic aging clocksepistemic uncertaintyrejuvenation

Identifiers

PMID39072888
PMCPMC11561706

What OpenQuestion holds

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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.