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3D-Printed Submicron Patterns Reveal the Interrelation between Cell Adhesion, Cell Mechanics, and Osteogenesis
Mahdiyeh Nouri-Goushki1, Livia Angeloni1,2, Khashayar Modaresifar1
1Department of Biomechanical Engineering, Faculty of Mechanical, Maritime, and Materials Engineering, Delft University of Technology (TU Delft), Mekelweg 2, 2628 CD Delft, The Netherlands.
Surface topography of implantable devices significantly impacts cell behavior and integration. Tall, dense submicron pillars enhance cell adhesion, cytoskeletal organization, and matrix mineralization, guiding device integration.
Area of Science:
- Biomaterials Science
- Cellular Mechanics
- Surface Engineering
Background:
- Surface topography is critical for implantable device integration.
- Quantitative data linking topography to cellular response cascades is limited.
Purpose of the Study:
- To systematically investigate the relationship between surface topography and cellular responses.
- To understand how 3D-printed submicron pillar dimensions and arrangements influence cell adhesion, cytoskeletal organization, and matrix mineralization.
Main Methods:
- Direct laser writing to fabricate 3D-printed submicron pillars with controlled dimensions.
- Single-cell force spectroscopy to measure cell adhesion forces and work of adhesion.
- Cell morphology, focal adhesion, and cytoskeletal organization analysis.
- Osteopontin expression analysis for matrix mineralization.
Main Results:
- Pillar height and density significantly influenced cell adhesion, focal adhesion formation, and cell settlement ('top state').
- Tall, dense pillars promoted enhanced actin stress fibers, higher elastic modulus, and organized cytoskeletal networks.
- Submicron pillar topography upregulated osteopontin expression, indicating enhanced matrix mineralization.
Conclusions:
- Surface topography, specifically tall and dense submicron pillars, can guide the cascade of cellular events from adhesion to matrix mineralization.
- These findings provide insights for designing instructive surfaces for medical devices using physical cues.
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