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. 2020 Jan 16;13(2):438.
doi: 10.3390/ma13020438.

Engineering Gels with Time-Evolving Viscoelasticity

Affiliations

Engineering Gels with Time-Evolving Viscoelasticity

Giorgio Mattei et al. Materials (Basel). .

Abstract

From a mechanical point of view, a native extracellular matrix (ECM) is viscoelastic. It also possesses time-evolving or dynamic behaviour, since pathophysiological processes such as ageing alter their mechanical properties over time. On the other hand, biomaterial research on mechanobiology has focused mainly on the development of substrates with varying stiffness, with a few recent contributions on time- or space-dependent substrate mechanics. This work reports on a new method for engineering dynamic viscoelastic substrates, i.e., substrates in which viscoelastic parameters can change or evolve with time, providing a tool for investigating cell response to the mechanical microenvironment. In particular, a two-step (chemical and enzymatic) crosslinking strategy was implemented to modulate the viscoelastic properties of gelatin hydrogels. First, gels with different glutaraldehyde concentrations were developed to mimic a wide range of soft tissue viscoelastic behaviours. Then their mechanical behaviour was modulated over time using microbial transglutaminase. Typically, enzymatically induced mechanical alterations occurred within the first 24 h of reaction and then the characteristic time constant decreased although the elastic properties were maintained almost constant for up to seven days. Preliminary cell culture tests showed that cells adhered to the gels, and their viability was similar to that of controls. Thus, the strategy proposed in this work is suitable for studying cell response and adaptation to temporal variations of substrate mechanics during culture.

Keywords: ageing; dynamic mechanical properties; transglutaminase; viscoelasticity.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Representing hydrogel viscoelasticity with lumped parameter models: (a) The Maxwell-type Standard Linear Solid (SLS) model; (b) relationships between the lumped parameter elements and the instantaneous (Einst) and equilibrium (Eeq) elastic moduli and the characteristic relaxation time (τ).
Figure 2
Figure 2
(a) Instantaneous Einst) and equilibrium (Eeq) elastic moduli and (b) characteristic relaxation times of gelatin hydrogels as a function of glutaraldehyde (GTA) concentration. The dashed lines represent linear data interpolation and serve only as a guide to the eye. Error bars are scarcely visible due to their very low values (SEM values are reported in the Supplementary Materials).
Figure 3
Figure 3
Instantaneous (Einst) and equilibrium (Eeq) elastic moduli and characteristic relaxation times of GTA-crosslinked gelatin hydrogels incubated with mTG for 1, 4, and 7 days. Error bars are scarcely visible due to their very low values (SEM values are reported in the Supplementary Materials).
Figure 4
Figure 4
(a) Cell viability relative to day 0; (b) 20X and (c) 20X Nyquist confocal images of aMSC on the mTG-GTA gels after seven days of culture. Nuclei are stained with DAPI (blue) and actin is labelled with Alexa 594-conjugated phalloidin (red).
Figure 5
Figure 5
Schematic of gelatin crosslinking with (a) glutaraldehyde (GTA) and (b) microbial transglutaminase (mTG); (c) Schematic of gelatin hydrolysis reaction.

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