Interaction of age and mechanical stability on bone defect healing: an early transcriptional analysis of fracture hematoma in rat.

Among other stressors, age and mechanical constraints significantly influence regeneration cascades in bone healing. Here, our aim was to identify genes and, through their functional annotation, related biological processes that are influenced by an interaction between the effects of mechanical fixa...

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Main Authors: Andrea Ode, Georg N Duda, Sven Geissler, Stephan Pauly, Jan-Erik Ode, Carsten Perka, Patrick Strube
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4154721?pdf=render
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spelling doaj-27ad8233f65140aeb2d00ae00ac9e0042020-11-25T02:32:06ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0199e10646210.1371/journal.pone.0106462Interaction of age and mechanical stability on bone defect healing: an early transcriptional analysis of fracture hematoma in rat.Andrea OdeGeorg N DudaSven GeisslerStephan PaulyJan-Erik OdeCarsten PerkaPatrick StrubeAmong other stressors, age and mechanical constraints significantly influence regeneration cascades in bone healing. Here, our aim was to identify genes and, through their functional annotation, related biological processes that are influenced by an interaction between the effects of mechanical fixation stability and age. Therefore, at day three post-osteotomy, chip-based whole-genome gene expression analyses of fracture hematoma tissue were performed for four groups of Sprague-Dawley rats with a 1.5-mm osteotomy gap in the femora with varying age (12 vs. 52 weeks - biologically challenging) and external fixator stiffness (mechanically challenging). From 31099 analysed genes, 1103 genes were differentially expressed between the six possible combinations of the four groups and from those 144 genes were identified as statistically significantly influenced by the interaction between age and fixation stability. Functional annotation of these differentially expressed genes revealed an association with extracellular space, cell migration or vasculature development. The chip-based whole-genome gene expression data was validated by q-RT-PCR at days three and seven post-osteotomy for MMP-9 and MMP-13, members of the mechanosensitive matrix metalloproteinase family and key players in cell migration and angiogenesis. Furthermore, we observed an interaction of age and mechanical stimuli in vitro on cell migration of mesenchymal stromal cells. These cells are a subpopulation of the fracture hematoma and are known to be key players in bone regeneration. In summary, these data correspond to and might explain our previously described biomechanical healing outcome after six weeks in response to fixation stiffness variation. In conclusion, our data highlight the importance of analysing the influence of risk factors of fracture healing (e.g. advanced age, suboptimal fixator stability) in combination rather than alone.http://europepmc.org/articles/PMC4154721?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Andrea Ode
Georg N Duda
Sven Geissler
Stephan Pauly
Jan-Erik Ode
Carsten Perka
Patrick Strube
spellingShingle Andrea Ode
Georg N Duda
Sven Geissler
Stephan Pauly
Jan-Erik Ode
Carsten Perka
Patrick Strube
Interaction of age and mechanical stability on bone defect healing: an early transcriptional analysis of fracture hematoma in rat.
PLoS ONE
author_facet Andrea Ode
Georg N Duda
Sven Geissler
Stephan Pauly
Jan-Erik Ode
Carsten Perka
Patrick Strube
author_sort Andrea Ode
title Interaction of age and mechanical stability on bone defect healing: an early transcriptional analysis of fracture hematoma in rat.
title_short Interaction of age and mechanical stability on bone defect healing: an early transcriptional analysis of fracture hematoma in rat.
title_full Interaction of age and mechanical stability on bone defect healing: an early transcriptional analysis of fracture hematoma in rat.
title_fullStr Interaction of age and mechanical stability on bone defect healing: an early transcriptional analysis of fracture hematoma in rat.
title_full_unstemmed Interaction of age and mechanical stability on bone defect healing: an early transcriptional analysis of fracture hematoma in rat.
title_sort interaction of age and mechanical stability on bone defect healing: an early transcriptional analysis of fracture hematoma in rat.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2014-01-01
description Among other stressors, age and mechanical constraints significantly influence regeneration cascades in bone healing. Here, our aim was to identify genes and, through their functional annotation, related biological processes that are influenced by an interaction between the effects of mechanical fixation stability and age. Therefore, at day three post-osteotomy, chip-based whole-genome gene expression analyses of fracture hematoma tissue were performed for four groups of Sprague-Dawley rats with a 1.5-mm osteotomy gap in the femora with varying age (12 vs. 52 weeks - biologically challenging) and external fixator stiffness (mechanically challenging). From 31099 analysed genes, 1103 genes were differentially expressed between the six possible combinations of the four groups and from those 144 genes were identified as statistically significantly influenced by the interaction between age and fixation stability. Functional annotation of these differentially expressed genes revealed an association with extracellular space, cell migration or vasculature development. The chip-based whole-genome gene expression data was validated by q-RT-PCR at days three and seven post-osteotomy for MMP-9 and MMP-13, members of the mechanosensitive matrix metalloproteinase family and key players in cell migration and angiogenesis. Furthermore, we observed an interaction of age and mechanical stimuli in vitro on cell migration of mesenchymal stromal cells. These cells are a subpopulation of the fracture hematoma and are known to be key players in bone regeneration. In summary, these data correspond to and might explain our previously described biomechanical healing outcome after six weeks in response to fixation stiffness variation. In conclusion, our data highlight the importance of analysing the influence of risk factors of fracture healing (e.g. advanced age, suboptimal fixator stability) in combination rather than alone.
url http://europepmc.org/articles/PMC4154721?pdf=render
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