Expanding Biomaterial Surface Topographical Design Space through Natural Surface Reproduction

Abstract

Surface topography guides cell behavior and is a tool to endow biomaterials with bioactive properties. The large number of possible designs makes it challenging to find the optimal surface structure to induce a specific cell response. The TopoChip platform is currently the largest collection of topographies with 2176 in silico designed micro-topographies. Still, it is exploring only a small part of the design space due to the boundary conditions of the design algorithm and the surface engineering strategy. Inspired by the diversity of natural surfaces, we assessed to what extend we could expand the topographical design space and consequently the resulting cellular responses using natural surfaces. To this end, we replicated twenty-six plant and insect surfaces in polystyrene and quantified their surface properties using white light interferometry, image analysis and principle component analysis. Next, we quantified mesenchymal stem cell morphology and the pattern of Pseudomonas aeruginosa colonization and compared it to previous data from TopoChip screens. Our data show that natural surfaces extended the TopoChip design space. Moreover, the natural surfaces induced MSC morphologies and bacterial attachment patterns not previously observed on the TopoChip. In the future, we will train our design algorithms with the results obtained by natural surface imprint experiments to further explore the design space and bio-active properties of surface topography.