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Meta-adaptive biomaterials: multiscale, spatiotemporal organization and actuation in engineered tissues.
Gerardo Cedillo-Servin1, Essa A A Al-Jehani2, Tamara Rossy3
1Department of Orthopedics, Regenerative Medicine Center Utrecht, University Medical Center Utrecht, The Netherlands; Biomaterial Engineering & Biofabrication, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Trends in Biotechnology
|June 5, 2025
Summary
Engineered biomaterials combining material-guided cell organization and mechanical stimulation are crucial for tissue engineering. This study proposes
Area of Science:
- Biomaterials Science and Tissue Engineering
- Cellular Mechanics and Biomechanics
Background:
- Tissue function relies on organized cell architecture and dynamic forces, particularly for contractile tissues.
- Limited research exists on combining material-guided 3D cell organization with mechanical stimulation.
- Current biomaterials offer limited control over multiscale organization and actuation.
Purpose of the Study:
- To highlight the importance of integrating material-driven cell organization with stimulus-responsive actuation in biomaterial design.
- To propose a synergistic approach ('meta-adaptive biomaterials') for advanced engineered tissues.
- To explore strategies for designing biomaterials that mimic cell-extracellular matrix (ECM) interactions.
Main Methods:
- Reviewing state-of-the-art biomaterials for controlled organization and actuation.
- Proposing the 'meta-adaptive biomaterials' concept.
- Designing feedback pathways based on cell-material interactions.
Main Results:
- Identified the critical need for combined material guidance and mechanical stimulation.
- Proposed 'meta-adaptive biomaterials' leveraging cell-material feedback.
- Demonstrated potential for enhanced control over engineered tissue behavior.
Conclusions:
- Converging material-guided cell organization and stimulus-responsive actuation is key for advanced biomaterials.
- 'Meta-adaptive biomaterials' can unlock complexity by harnessing cell-material feedback.
- This approach expands possibilities in tissue engineering, in vitro models, and biohybrid robotics.
