Evidence map›Paper›PMID 39948317›Full record

ArticleBiogerontology2025

Transcriptional activation of genes associated with the matrisome is a common feature of senescent endothelial cells.

Ignacia González, Sebastián B Arredondo, Rodrigo Maldonado-Agurto

Abstract read
In one paragraph

Article in Biogerontology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Ignacia GonzálezCenter for Biomedical Research (CIBMED), Faculty of Medicine, Universidad Finis Terrae, Santiago, Chile.
Sebastián B ArredondoInstitute of Biomedical Sciences, Faculty of Medicine, Universidad Andres Bello, Santiago, Chile.
Rodrigo Maldonado-AgurtoCenter for Biomedical Research (CIBMED), Faculty of Medicine, Universidad Finis Terrae, Santiago, Chile. rmaldonado@uft.cl.

Funding

ANID-FONDECYT iniciacion 11220698ANID-Fondecyt postdoctorado 3230100
6 · The paper itself

Abstract

Cellular senescence is a stable cell cycle arrest that occurs in response to various stress stimuli and affects multiple cell types, including endothelial cells (ECs). Senescent cells accumulate with age, and their removal has been linked to reduced age-related diseases. However, some senescent cells are important for tissue homeostasis. Therefore, understanding the diversity of senescent cells in a cell-type-specific manner and their underlying molecular mechanisms is essential. Senescence impairs key ECs functions which are necessary for vascular homeostasis, leading to endothelial dysfunction and age-related vascular diseases. In order to gain insights into these mechanisms, we analyzed publicly available RNA-seq datasets to identify gene expression changes in senescent ECs induced by doxorubicin, irradiation, and replication exhaustion. While only a few genes were consistently differentially expressed across all conditions, some gene ontologies (GO) were shared. Among these, our analysis focused on validating the expression of genes associated with the matrisome, which includes genes encoding for extracellular matrix (ECM) structural components and ECM-associated proteins, in a doxorubicin-induced senescence model. Our results show that the matrisome transcriptome undergoes significant remodeling in senescent endothelial cells, regardless of the specific inducers of senescence, highlighting the importance of understanding how ECM alterations affect senescence.

Indexed as

Cellular SenescenceEndothelial CellsTranscriptional ActivationDoxorubicinExtracellular MatrixHumansHuman Umbilical Vein Endothelial CellsTranscriptomeDoxorubicinCellular senescenceEndothelial cellsExtracellular matrixMatrisomeRNA-seq

Identifiers

PMID39948317
PMCPMC11825616

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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.