Precision design of dextran-permeated agarose hydrogels matching adipose stem cell adhesion timescales.
Guazzelli N., Cacopardo L., Ahluwalia A.
Laboratory Study on Hip, published in Mater Today Bio (2025) — summary generated from the PubMed abstract.
Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.
- Level A · Stronger Clinical Evidence
- Level B · Emerging clinical evidence with positive signals
- Level C · Early human research exploring benefits
- Level D · Scientific groundwork from lab and animal studies
- Emerging · Emerging topic under active research
This page is generated from the PubMed record. The Thai description is an automated summary of bibliographic fields and the abstract, not a full translation, and is not medical advice.
- Study type
- Laboratory Study
- Journal
- Mater Today Bio (2025)
- Country
- England
- Reported sample size
- —
- Source database
- PubMed
- PMID
- 40487174
- PMCID
- PMC12145710
- DOI
- 10.1016/j.mtbio.2025.101832
- Citations
- 1
Abstract (original English)
Viscoelasticity is now recognised as a key parameter in modulating cell behaviour. Tailoring time-dependent materials to elicit specific cellular responses is, however, a challenge because of the intricate relationship between the substrate relaxation time (τ rel ) and the cell sensing time-window which depends on the time required for the formation of focal adhesions (τ b ) and the duration of their lifetime (τ L ). Here, we introduce a novel design approach to guide cell behaviour based on the cell-perceived Deborah number, De = τ rel /τ L, arguing that for De > 1 and De < 1, substrates promote cell differentiation because stable adhesions and sustained tension drive mechanotransduction and lineage-specific differentiation on the basis of substrate stiffness. Instead, cell stemness is maintained in the De ∼1, whereby excessive mechanical signalling is prevented as cells balance adhesion stability and plasticity. The design workflow consists in modelling substrate τ rel , enabling the selection of the optimal gel formulation according to the cell-perceived De. The workflow was applied to agarose gels with different dextran concentrations in the liquid phase, which act as modulators of mechanical time-dependent properties. To predict the relaxation times for these gels, we developed an in-silico model which integrates their structural and transport properties. Our results show
What this study does not prove
- • This study does not prove SVF is an approved treatment or a replacement for standard care.
- • This is preclinical work; animal or laboratory results cannot be applied to humans.
Evidence level
Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.
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