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Dual Cross-Linked Biofunctional and Self-Healing Networks to Generate User-Defined Modular Gradient Hydrogel
Zhao Wei1, Daniel M Lewis1, Yu Xu1
1Department of Chemical and Biomolecular Engineering, The Institute for NanoBioTechnology, Physical-Sciences Oncology Center, Johns Hopkins University, Baltimore, MD, 21218, USA.
Advanced Healthcare Materials
|May 26, 2017
Summary
This study introduces a novel dual cross-linked hydrogel capable of mimicking complex tissue gradients. This innovative material allows for customizable gradient shapes and distributions, advancing tissue engineering and regenerative medicine.
Area of Science:
- Biomaterials Science
- Tissue Engineering
- Regenerative Medicine
Background:
- Gradient hydrogels are crucial for mimicking native tissue microenvironments.
- Existing methods are limited to single gradient shapes and distributions.
- There is a need for versatile hydrogel systems to create complex spatiotemporal gradients.
Purpose of the Study:
- To develop a novel dual cross-linked hydrogel system.
- To enable customizable gradient distributions and flexible shapes.
- To investigate cellular responses within these engineered microenvironments.
Main Methods:
- Fabrication of a dual cross-linked hydrogel using oxidized acrylated hyaluronic acid (OAHA), MMP-sensitive cross-linker, RGD peptides, N-carboxyethyl chitosan (CEC), and dynamic Schiff base chemistry.
- Utilizing Michael addition for biofunctional networks and Schiff base reaction for self-healing networks.
- Assessing hydrogel injectability, flowability, and cellular response (sarcoma cells) to gradient cues.
Main Results:
- The CEC-OAHA-MMP hydrogel demonstrated tunable gradient formation with various distributions and shapes.
- The hydrogel exhibited excellent injectability and self-healing properties at physiological temperature.
- Encapsulated sarcoma cells responded to RGD peptide and MMP-sensitive cross-linker gradients.
Conclusions:
- The dual cross-linked hydrogel offers a versatile platform for creating customizable gradient constructs.
- This technology has significant potential in tumor mimicking, tissue engineering, and guiding stem cell differentiation.
- The system facilitates the study of cellular behavior in response to complex microenvironmental cues.

