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...
Main Authors: | , , , , , , |
---|---|
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 |
id |
doaj-27ad8233f65140aeb2d00ae00ac9e004 |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT andreaode interactionofageandmechanicalstabilityonbonedefecthealinganearlytranscriptionalanalysisoffracturehematomainrat AT georgnduda interactionofageandmechanicalstabilityonbonedefecthealinganearlytranscriptionalanalysisoffracturehematomainrat AT svengeissler interactionofageandmechanicalstabilityonbonedefecthealinganearlytranscriptionalanalysisoffracturehematomainrat AT stephanpauly interactionofageandmechanicalstabilityonbonedefecthealinganearlytranscriptionalanalysisoffracturehematomainrat AT janerikode interactionofageandmechanicalstabilityonbonedefecthealinganearlytranscriptionalanalysisoffracturehematomainrat AT carstenperka interactionofageandmechanicalstabilityonbonedefecthealinganearlytranscriptionalanalysisoffracturehematomainrat AT patrickstrube interactionofageandmechanicalstabilityonbonedefecthealinganearlytranscriptionalanalysisoffracturehematomainrat |
_version_ |
1724821404688318464 |