Evidence map›Paper›PMID 40530891›Full record

ArticleAging cell2025

Senescence Cell Induction Methods Display Diverse Metabolic Reprogramming and Reveal an Underpinning Serine/Taurine Reductive Metabolic Phenotype.

Domenica Berardi, Gillian Farrell, Abdullah AlSultan, Ashley McCulloch, Nicole M Hall, Rui Pedro Pereira Sousa, Melanie Jimenez, Colin Selman, Ilaria Bellantuono, Caroline H Johnson and 2 more

Abstract read
In one paragraph

Article in Aging cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Domenica BerardiDepartment of Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, Connecticut, USA.ORCID 0000-0003-3244-6173
Gillian FarrellDepartment of Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, Connecticut, USA.
Abdullah AlSultanDepartment of Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, Connecticut, USA.ORCID 0009-0004-5632-0406
Ashley McCullochWolfson Wohl Cancer Research Centre, School of Cancer Sciences, University of Glasgow, Glasgow, UK.
Nicole M HallWolfson Wohl Cancer Research Centre, School of Cancer Sciences, University of Glasgow, Glasgow, UK.
Rui Pedro Pereira SousaWolfson Wohl Cancer Research Centre, School of Cancer Sciences, University of Glasgow, Glasgow, UK.ORCID 0000-0002-3305-1504
Melanie JimenezWolfson Wohl Cancer Research Centre, School of Cancer Sciences, University of Glasgow, Glasgow, UK.
Colin SelmanSchool of Molecular Biosciences, University of Glasgow, Glasgow, UK.ORCID 0000-0002-8727-0593
Ilaria BellantuonoDepartment of Oncology and Metabolism, Healthy Lifespan Institute and MRC-Arthritis Research UK Centre for Integrated Research Into Musculoskeletal Ageing, University of Sheffield, Sheffield, UK.ORCID 0000-0001-9994-6987
Caroline H JohnsonStrathclyde Institute of Pharmacy and Biomedical Science, University of Strathclyde, Glasgow, UK.
Zahra RattrayDepartment of Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, Connecticut, USA.ORCID 0000-0002-8371-8549
Nicholas J W RattrayDepartment of Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, Connecticut, USA.ORCID 0000-0002-3528-6905

Funding

Engineering and Physical Sciences Research Council EP/V028960/1Medical Research Council MR/Y010736/1Royal Academy of Engineering RF\201718\1741Royal Society IF\R1\231034
6 · The paper itself

Abstract

The relationship between in vitro senescence cell induction and intracellular biomolecular dysregulation is still poorly understood. In this study, we have found that a range of metabolic subphenotypes exists and is dependent on the induction method that is used. To develop understanding of these subphenotypes, we developed and employed a novel bioanalytical pipeline integrating untargeted metabolomics, label-free proteomics, and stable isotope tracing alongside cellular deformability measurements and established senescence biomarkers. Initially, standard senescent markers indicated all induction methods were consistent by showing elevated SA-β-Gal expression, p21 levels, and γH2AX DNA damage markers alongside a decrease in Ki67 and an increase in shape, volume, and deformability. However, when probed at the metabolic and protein levels, all senescence models indicated both shared and unique biomolecular responses. A metabolic shift toward reductive pathways (driven by serine and taurine rewiring) and impaired proteostasis was an observed shared response. These findings suggest that targeting metabolic redox circuits, alongside serine and taurine metabolic processes, presents novel therapeutic strategies for addressing senescence and aging. But importantly, alongside this general shift, we found that significant metabolic and proteomic heterogeneity also exists across different senescence induction methods. This demonstrates that the method of senescence induction significantly influences cell metabolic and proteomic profiles. Critically, methods of senescence induction are not interchangeable, and careful consideration is needed when choosing between different induction methods and when comparing cellular phenotypes across different in vitro senescence experiments.

Indexed as

Cellular SenescenceSerineTaurineHumansMetabolic ReprogrammingMetabolomicsPhenotypeProteomicsSerineTaurineagingisotope labelingmetabolomicsproteomicsrheo‐morphologysenescence

Identifiers

PMID40530891
PMCPMC12341781

What OpenQuestion holds

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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.