The interaction between nanoscale surface features and mechanical loading and its effect on osteoblast-like cells behavior

Ljupcho Prodanov, Joost te Riet, Edwin Lamers, Maciej Domanski, Regina Lüttge, Jack J.W.A. Loon, John A. Jansen, X. Frank Walboomers

Research output: Contribution to journalArticleAcademicpeer-review

70 Citations (Scopus)
11 Downloads (Pure)

Abstract

Osteoblasts respond to mechanical stimulation by changing morphology, gene expression and matrix mineralization. Introducing surface topography on biomaterials, independently of mechanical loading, has been reported to give similar effects. In the current study, using a nanotextured surface, and mechanical loading, we aimed to develop a multi-factorial model in which both parameters interact. Mechanical stimulation to osteoblast-like cells was applied by longitudinal stretch in parallel direction to the nanotexture (300 nm wide and 60 nm deep grooves), with frequency of 1 Hz and stretch magnitude varying from 1% to 8%. Scanning electron microscopy showed that osteoblast-like cells subjected to mechanical loading oriented perpendicularly to the stretch direction. When cultured on nanotextured surfaces, cells aligned parallel to the texture. However, the parallel cell direction to the nanotextured surface was lost and turned to perpendicular when parallel stretch to the nanotexture, greater than 3% was applied to the cells. This phenomenon could not be achieved when a texture with micro-sized dimensions was used. Moreover, a significant synergistic effect on upregulation of fibronectin and Cfba was observed when dual stimulation was used. These findings can lead to a development of new biomimetic materials that can guide morphogenesis in tissue repair and bone remodeling
Original languageEnglish
Pages (from-to)7758-7765
Number of pages9
JournalBiomaterials
Volume31
Issue number30
DOIs
Publication statusPublished - 2010

Fingerprint

Dive into the research topics of 'The interaction between nanoscale surface features and mechanical loading and its effect on osteoblast-like cells behavior'. Together they form a unique fingerprint.

Cite this