Evidence map›Paper›PMID 42338185›Full record

ArticleJournal of biomedical materials research. Part A2026

Substrate Stiffness and Viscoelasticity Influence Fibroblast Senescence.

Mackenzie L Skelton, Tanvi Bhat, Ethan Yu, Afia Ofori, Steven R Caliari

Abstract read
In one paragraph

Article in Journal of biomedical materials research. Part A, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Mackenzie L SkeltonDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.
Tanvi BhatDepartment of Psychology, University of Virginia, Charlottesville, Virginia, USA.
Ethan YuDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.
Afia OforiDepartment of Mechanical Engineering, University of Virginia, Charlottesville, Virginia, USA.
Steven R CaliariDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.ORCID 0000-0002-7506-3079

Funding

Designing cell-instructive hydrogels to understand and exploit mechanobiologyR35GM138187 · NIGMS · UNIVERSITY OF VIRGINIA · PI CALIARI, STEVEN · 2020 to 2024
$1.8M
Designing cell-instructive viscoelastic hydrogels to understand and exploit mechanobiologyR35GM162024 · NIGMS · UNIVERSITY OF VIRGINIA · PI Steven Caliari · 2026 to 2026
$415k
National Science Foundation CAREER DMR/BMAT 2046592NIGMS NIH HHS R35 GM138187NIGMS NIH HHS R35 GM162024NIH HHS R35GM138187NIH HHS R35GM162024
6 · The paper itself

Abstract

Senescent cell accumulation has been implicated in aging and fibrotic disease, which are both characterized by increased tissue stiffness. However, the direct connection between tissue mechanics and senescence induction remains disputed in the literature. Thus, this work investigates the influence of hydrogel stiffness and viscoelasticity in promoting fibroblast senescence directly and in combination with genotoxic stress. We show that while lung fibroblast YAP/TAZ signaling declines with senescence induction, senescent fibroblasts maintain their mechanosensing capabilities with increased YAP/TAZ nuclear localization on higher stiffness hydrogels. Most notably, we find a unique role for hydrogel viscoelasticity in senescence induction, with soft (2 kPa) viscoelastic substrates promoting both the onset and amplification of senescence, even in the absence of genotoxic stress. These changes are not associated with a decline in YAP/TAZ activity, but instead with a decline in nuclear DAPI intensity, suggesting a role of nuclear organization in driving this phenotype. Overall, this work highlights the influence of mechanics, and viscoelasticity in particular, on the induction of fibroblast senescence.

Indexed as

Cellular SenescenceElasticityFibroblastsHydrogelsAnimalsCell NucleusHumansMiceViscosityHydrogelshydrogelsmechanobiologysenescenceviscoelasticity

Identifiers

PMID42338185
PMCPMC13458732

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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.