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Updated: Oct 4, 2026

Studying the Effects of Matrix Stiffness on Cellular Function using Acrylamide-based Hydrogels
Published on: August 10, 2010
Matrix stiffness and stress relaxation regulate matrix-bound nanovesicle release from alginate hydrogels
Renata Dos Reis Marques1, Jane A Baude2, Gianna M Gathman1
1Dept. of Bioengineering, University of California Santa Barbara, 2002 Bioengineering Building, Santa Barbara, CA, 93106, USA. marleydewey@ucsb.edu.
Abstract:
Matrix-bound nanovesicles (MBVs) are a recently discovered subclass of small extracellular vesicles (EVs) that reside within the extracellular matrix of non-mineralized tissues throughout the body. Functionally, MBVs exhibit unique immunomodulatory properties that have been leveraged therapeutically to treat various tissue pathologies, including periprosthetic osteolysis, rheumatoid arthritis, and skeletal muscle injury. However, like other EVs, the therapeutic efficacy of MBV applications is limited by delivery methods, namely bolus injections, that offer poor control of EV persistence and bioavailability at the site of administration. We hypothesized that a superior MBV delivery platform could be developed by entrapping MBVs in a tunable, engineered alginate matrix to control retention and release of MBVs on therapeutically relevant timescales. To this end, we encapsulated dermal fibroblast MBVs in bioinert alginate hydrogels with varying stiffness and stress relaxation rates to determine the impact of matrix mechanical properties on MBV release and retention over a 14-day period. We found that stiffer matrices increased MBV release and decreased MBV retention compared to their softer counterparts. Additionally, fast-relaxing matrices retained fewer MBVs than slow-relaxing matrices regardless of differences in matrix stiffness. We then compared our results to synthetic liposomes and found these results mirror our MBV results, demonstrating that alginate materials may be utilized for more precise control of EV and liposome delivery in the body and may overcome limitations associated with current EV administration methods.

