Hyaluronic Acid‐Based, Double Network Hydrogels With Tunable Viscoelasticity for Neural Cell Culture

Brain tissue is the softest, most viscoelastic tissue in mammals and these mechanical properties strongly influence cell phenotypes. However, conventional hydrogels for 3D cultures rarely provide the ability to tune the elasticity (G') independently of the viscosity (G″), making it impossible to decouple the effects of each mechanical component on cell behavior. To address this deficiency, we have developed a hyaluronic acid (HA)-based, double network hydrogel platform, in which G' and G″ can be tuned independently, keeping G' within the range observed in native brain tissue. The double network hydrogel includes a covalently photocrosslinked HA network (thiolene) to control the elasticity and a dynamically crosslinked HA (hydrazone) network to regulate the viscosity. Addition of the dynamic network to the static single networks increased viscoelasticity, as assessed by the stress-relaxation time and dissipation factor (tan(δ)), of the biomaterial fourfold over that of the covalent network alone, without affecting the storage modulus (G'). The proliferation and spreading of two neural cell types, patient-derived glioblastoma (GBM) tumor cells and mouse neural stem cells (mNSCs), were evaluated in single and double network hydrogels with varying elasticities. An increase in viscoelasticity increased cell proliferation in one patient-derived GBM line, independently of elasticity, while the converse was found in mNSCs. In both GBM and mNSCs cultures, increased cell spreading was observed in stiff double network, compared to stiff single network, gels. This double network hydrogel model allows for the orthogonal tuning of elasticity and viscosity to better represent the mechanics of CNS tissue.

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Publication Details

Journal
Journal of Biomedical Materials Research Part A
Published
2026-02-01
DOI
https://doi.org/10.1002/jbma.70042
Primary Topic
3D Printing in Biomedical Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Hyaluronic Acid‐Based, Double Network Hydrogels With Tunable Viscoelasticity for Neural Cell Culture

Amar Nath, Talia Sanazzaro, Talon G Blottin, Ze Zhong Wang et al.
Journal of Biomedical Materials Research Part A
3D Printing in Biomedical Research
article

Hyaluronic Acid‐Based, Double Network Hydrogels With Tunable Viscoelasticity for Neural Cell Culture

Amar Nath, Talia Sanazzaro, Talon G Blottin, Ze Zhong Wang, Stephanie K. Seidlits, Neha Arvinth, Sabrina Pietrosemoli Salazar
article en

Abstract

Brain tissue is the softest, most viscoelastic tissue in mammals and these mechanical properties strongly influence cell phenotypes. However, conventional hydrogels for 3D cultures rarely provide the ability to tune the elasticity (G') independently of the viscosity (G″), making it impossible to decouple the effects of each mechanical component on cell behavior. To address this deficiency, we have developed a hyaluronic acid (HA)-based, double network hydrogel platform, in which G' and G″ can be tuned independently, keeping G' within the range observed in native brain tissue. The double network hydrogel includes a covalently photocrosslinked HA network (thiolene) to control the elasticity and a dynamically crosslinked HA (hydrazone) network to regulate the viscosity. Addition of the dynamic network to the static single networks increased viscoelasticity, as assessed by the stress-relaxation time and dissipation factor (tan(δ)), of the biomaterial fourfold over that of the covalent network alone, without affecting the storage modulus (G'). The proliferation and spreading of two neural cell types, patient-derived glioblastoma (GBM) tumor cells and mouse neural stem cells (mNSCs), were evaluated in single and double network hydrogels with varying elasticities. An increase in viscoelasticity increased cell proliferation in one patient-derived GBM line, independently of elasticity, while the converse was found in mNSCs. In both GBM and mNSCs cultures, increased cell spreading was observed in stiff double network, compared to stiff single network, gels. This double network hydrogel model allows for the orthogonal tuning of elasticity and viscosity to better represent the mechanics of CNS tissue.

Journal of Biomedical Materials Research Part AVol. 114(2)
The University of Texas at Austin (US)
Cancer Prevention and Research Institute of Texas, National Institutes of Health, National Cancer Institute
Openalex Percentile: Top 70%
3D Printing in Biomedical Research
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