Evidence map›Paper›PMID 37822253›Full record

ArticleAging cell2023

Smurfness-based two-phase model of ageing helps deconvolve the ageing transcriptional signature.

Flaminia Zane, Hayet Bouzid, Sofia Sosa Marmol, Mira Brazane, Savandara Besse, Julia Lisa Molina, Céline Cansell, Fanny Aprahamian, Sylvère Durand, Jessica Ayache and 4 more

Abstract read
In one paragraph

Article in Aging cell, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Molecular evolution of animal aging.The EMBO journal · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Dynamic Changes in Gene Expression Through Aging inbioRxiv : the preprint server for biology · 2024
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Markers and mechanisms of death inFrontiers in aging · 2023
    Article
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

14 authors.

Flaminia ZaneUniversité Paris Cité, INSERM UMR U1284, Paris, France.
Hayet BouzidUniversité Paris Cité, INSERM UMR U1284, Paris, France.
Sofia Sosa MarmolUniversité Paris Cité, INSERM UMR U1284, Paris, France.
Mira BrazaneInstitut de Biologie Paris Seine, Sorbonne Université, Paris, France.
Savandara BesseUniversité Paris Cité, INSERM UMR U1284, Paris, France.
Julia Lisa MolinaInstitut de Biologie Paris Seine, Sorbonne Université, Paris, France.
Céline CansellUniversité Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, Palaiseau, France.
Fanny AprahamianMetabolomics and Cell Biology Platforms, UMS AMMICa, Institut Gustave Roussy, Villejuif, France.
Sylvère DurandMetabolomics and Cell Biology Platforms, UMS AMMICa, Institut Gustave Roussy, Villejuif, France.
Jessica AyacheInstitut Jacques Monod, CNRS UMR 7592, Université Paris Cité, Paris, France.
Christophe AntoniewskiInstitut de Biologie Paris Seine, Sorbonne Université, Paris, France.
Nicolas ToddEco-Anthropologie (EA), Muséum National d'Histoire Naturelle, CNRS, Université de Paris, Musée de l'Homme, Paris, France.
Clément CarréInstitut de Biologie Paris Seine, Sorbonne Université, Paris, France.ORCID 0000-0002-9668-4288
Michael ReraUniversité Paris Cité, INSERM UMR U1284, Paris, France.ORCID 0000-0002-6574-6511

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ageing is characterised at the molecular level by six transcriptional 'hallmarks of ageing', that are commonly described as progressively affected as time passes. By contrast, the 'Smurf' assay separates high-and-constant-mortality risk individuals from healthy, zero-mortality risk individuals, based on increased intestinal permeability. Performing whole body total RNA sequencing, we found that Smurfness distinguishes transcriptional changes associated with chronological age from those associated with biological age. We show that transcriptional heterogeneity increases with chronological age in non-Smurf individuals preceding the other five hallmarks of ageing that are specifically associated with the Smurf state. Using this approach, we also devise targeted pro-longevity genetic interventions delaying entry in the Smurf state. We anticipate that increased attention to the evolutionary conserved Smurf phenotype will bring about significant advances in our understanding of the mechanisms of ageing.

Indexed as

AgingLongevityBiological EvolutionHumansPhenotypeageingDrosophilaend of lifelifespan increasing genetic interventionSmurfstranscriptome

Identifiers

PMID37822253
PMCPMC10652310

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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.