Evidence map›Paper›PMID 41624773›Full record

ReviewFrontiers in molecular biosciences2025

Redox metabolism in cell senescence: focusing on contributions from the metabolomic field.

Eliana Chacón, Guillermo Grünwaldt, Inés Marmisolle, Jennyfer Martínez, Celia Quijano

Abstract readReview
In one paragraph

Review in Frontiers in molecular biosciences, 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. Review
  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

5 authors.

Eliana ChacónDepartamento de Bioquímica, Facultad de Medicina, and Centro de Investigaciones Biomédicas (CEINBIO), Universidad de la República, Montevideo, Uruguay.
Guillermo GrünwaldtDepartamento de Bioquímica, Facultad de Medicina, and Centro de Investigaciones Biomédicas (CEINBIO), Universidad de la República, Montevideo, Uruguay.
Inés MarmisolleDepartamento de Bioquímica, Facultad de Medicina, and Centro de Investigaciones Biomédicas (CEINBIO), Universidad de la República, Montevideo, Uruguay.
Jennyfer MartínezDepartamento de Bioquímica, Facultad de Medicina, and Centro de Investigaciones Biomédicas (CEINBIO), Universidad de la República, Montevideo, Uruguay.
Celia QuijanoDepartamento de Bioquímica, Facultad de Medicina, and Centro de Investigaciones Biomédicas (CEINBIO), Universidad de la República, Montevideo, Uruguay.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell senescence is triggered by stressful stimuli, including telomere attrition, genotoxic agents, and strong mitogenic signals. This state is characterized by proliferation arrest and acquisition of a senescence-associated secretory phenotype. Senescent cells secrete growth factors, chemokines, cytokines, proteases, and other factors that can impact the cell's microenvironment, promoting aging and the development of age-associated diseases. These discoveries have emphasized the need for a detailed analysis of the senescent phenotype. Redox alterations are one of the hallmarks of cellular senescence, and are required to maintain the senescent phenotype. Here, we review current information on senescent cell's redox metabolism, with a special focus on metabolomic profiling of human fibroblasts. We describe metabolic pathways involved in redox homeostasis, in particular glutathione metabolism, that undergo reprogramming in cell senescence, and links with the senescent phenotype.

Indexed as

glutathionemetabolismmetabolomicsredox homeostasissenescence

Identifiers

PMID41624773
PMCPMC12853661

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.