Evidence map›Paper›PMID 40233102›Full record

ArticlePLoS computational biology2025

Modelling the spatiotemporal dynamics of senescent cells in wound healing, chronic wounds, and fibrosis.

Sharmilla Chandrasegaran, James P Sluka, Daryl Shanley

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Cellular Senescence in Skin Wound Repair: Dual Roles and Senotherapeutic Interventions.Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Sharmilla ChandrasegaranBiosciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.
James P SlukaDepartment of Intelligent Systems Engineering and Biocomplexity Institute, Indiana University Bloomington, Bloomington, Indiana, United States of America.ORCID 0000-0002-5901-1404
Daryl ShanleyBiosciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.ORCID 0000-0003-3096-6386

Funding

Medical Research Council MR/R502182/1Novo Nordisk FoundationUSA National Institute of Health, National Institute of Biomedical Imaging and Bioengineering U24EB028887
6 · The paper itself

Abstract

Cellular senescence is known to drive age-related pathology through the senescence-associated secretory phenotype (SASP). However, it also plays important physiological roles such as cancer suppression, embryogenesis and wound healing. Wound healing is a tightly regulated process which when disrupted results in conditions such as fibrosis and chronic wounds. Senescent cells appear during the proliferation phase of the healing process where the SASP is involved in maintaining tissue homeostasis after damage. Interestingly, SASP composition and functionality was recently found to be temporally regulated, with distinct SASP profiles involved: a fibrogenic, followed by a fibrolytic SASP, which could have important implications for the role of senescent cells in wound healing. Given the number of factors at play a full understanding requires addressing the multiple levels of complexity, pertaining to the various cell behaviours, individually followed by investigating the interactions and influence each of these elements have on each other and the system as a whole. Here, a systems biology approach was adopted whereby a multi-scale model of wound healing that includes the dynamics of senescent cell behaviour and corresponding SASP composition within the wound microenvironment was developed. The model was built using the software CompuCell3D, which is based on a Cellular Potts modelling framework. We used an existing body of data on healthy wound healing to calibrate the model and validation was done on known disease conditions. The model clearly shows how differences in the spatiotemporal dynamics of different senescent cell phenotypes lead to several distinct repair outcomes. These differences in senescent cell dynamics can be attributed to variable SASP composition, duration of senescence and temporal induction of senescence relative to the healing stage. The range of outcomes demonstrated strongly highlight the dynamic and heterogenous role of senescent cells in wound healing, fibrosis and chronic wounds, and their fine-tuned control. Further specific data to increase model confidence could be used to explore senolytic treatments in wound disorders.

Indexed as

Cellular SenescenceModels, BiologicalWound HealingChronic DiseaseFibrosisHumansSenescence-Associated Secretory PhenotypeSystems Biology

Identifiers

PMID40233102
PMCPMC12052216

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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.