Evolutionary design of optimal surface topographies for biomaterials

Abstract Natural evolution tackles optimization by producing many genetic variants and exposing these variants to selective pressure, resulting in the survival of the fittest. We use high throughput screening of large libraries of materials with differing surface topographies to probe the interactio...

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Autores principales:	Aliaksei Vasilevich, Aurélie Carlier, David A. Winkler, Shantanu Singh, Jan de Boer
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5190613c9f6e4de2b27c572e7d398916
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spelling	oai:doaj.org-article:5190613c9f6e4de2b27c572e7d3989162021-12-02T12:03:16ZEvolutionary design of optimal surface topographies for biomaterials10.1038/s41598-020-78777-22045-2322https://doaj.org/article/5190613c9f6e4de2b27c572e7d3989162020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-78777-2https://doaj.org/toc/2045-2322Abstract Natural evolution tackles optimization by producing many genetic variants and exposing these variants to selective pressure, resulting in the survival of the fittest. We use high throughput screening of large libraries of materials with differing surface topographies to probe the interactions of implantable device coatings with cells and tissues. However, the vast size of possible parameter design space precludes a brute force approach to screening all topographical possibilities. Here, we took inspiration from Nature to optimize materials surface topographies using evolutionary algorithms. We show that successive cycles of material design, production, fitness assessment, selection, and mutation results in optimization of biomaterials designs. Starting from a small selection of topographically designed surfaces that upregulate expression of an osteogenic marker, we used genetic crossover and random mutagenesis to generate new generations of topographies.Aliaksei VasilevichAurélie CarlierDavid A. WinklerShantanu SinghJan de BoerNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Aliaksei Vasilevich Aurélie Carlier David A. Winkler Shantanu Singh Jan de Boer Evolutionary design of optimal surface topographies for biomaterials
description	Abstract Natural evolution tackles optimization by producing many genetic variants and exposing these variants to selective pressure, resulting in the survival of the fittest. We use high throughput screening of large libraries of materials with differing surface topographies to probe the interactions of implantable device coatings with cells and tissues. However, the vast size of possible parameter design space precludes a brute force approach to screening all topographical possibilities. Here, we took inspiration from Nature to optimize materials surface topographies using evolutionary algorithms. We show that successive cycles of material design, production, fitness assessment, selection, and mutation results in optimization of biomaterials designs. Starting from a small selection of topographically designed surfaces that upregulate expression of an osteogenic marker, we used genetic crossover and random mutagenesis to generate new generations of topographies.
format	article
author	Aliaksei Vasilevich Aurélie Carlier David A. Winkler Shantanu Singh Jan de Boer
author_facet	Aliaksei Vasilevich Aurélie Carlier David A. Winkler Shantanu Singh Jan de Boer
author_sort	Aliaksei Vasilevich
title	Evolutionary design of optimal surface topographies for biomaterials
title_short	Evolutionary design of optimal surface topographies for biomaterials
title_full	Evolutionary design of optimal surface topographies for biomaterials
title_fullStr	Evolutionary design of optimal surface topographies for biomaterials
title_full_unstemmed	Evolutionary design of optimal surface topographies for biomaterials
title_sort	evolutionary design of optimal surface topographies for biomaterials
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/5190613c9f6e4de2b27c572e7d398916
work_keys_str_mv	AT aliakseivasilevich evolutionarydesignofoptimalsurfacetopographiesforbiomaterials AT aureliecarlier evolutionarydesignofoptimalsurfacetopographiesforbiomaterials AT davidawinkler evolutionarydesignofoptimalsurfacetopographiesforbiomaterials AT shantanusingh evolutionarydesignofoptimalsurfacetopographiesforbiomaterials AT jandeboer evolutionarydesignofoptimalsurfacetopographiesforbiomaterials
_version_	1718394746768982016

Evolutionary design of optimal surface topographies for biomaterials

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