ABSTRACT: Differential gene expression from microarray analysis distinguishes woven and lamellar bone formation in the rat ulna following mechanical loading
Project description:The objective of our study was to use a microarray to distinguish the molecular responses between woven and lamellar bone formation induced through mechanical loading. The micorarray identified numerous genes and pathways that were differentially regulated for woven, but not lamellar bone formation. Rat forelimb loading was completed in a single bout to induce the formation of woven bone (WBF loading) or lamellar bone (LBF loading). A set of normal (non-loaded) rats were used as controls. Microarrays were performed at three timepoints after loading: 1 hr, 1 day and 3 days.
Project description:The objective of our study was to use a microarray to distinguish the molecular responses between woven and lamellar bone formation induced through mechanical loading. The micorarray identified numerous genes and pathways that were differentially regulated for woven, but not lamellar bone formation.
Project description:Skeletal integrity in humans and animals is maintained by daily mechanical loading. It has been widely accepted that osteocytes function as mechanosensors. Many biochemical signaling molecules are involved in the response of osteocytes to mechanical stimulation. The aim of this study was to identify genes involved in the translation of mechanical stimuli into bone formation. The four-point bending model was used to induce a single period of mechanical loading (comprising 300 cycles (2 Hz) using a peak magnitude of 60 N) on the right tibia, while the contra lateral left tibia served as control. Six hours after loading, the effects of mechanical loading on gene-expression were determined with microarray analysis. Protein expression of differentially regulated genes was evaluated with immunohistochemistry. Nine genes were found to exhibit a significant differential gene expression in LOAD compared to control. MEPE, Garnl1, V2R2B, and QFG TN1 olfactory receptor were up-regulated, and creatine kinase (muscle form), fibrinogen-B beta-polypeptide, monoamine oxidase A, troponin-C and kinesin light chain-C were down-regulated. Validation with real-time RT-PCR analysis confirmed the up regulation of MEPE and the down-regulation of creatine kinase (muscle form) and troponin-C in the loaded tibia. Immunohistochemistry showed that the increase of MEPE protein expression was already detectable six hours after mechanical loading. In conclusion, these genes probably play a role during translation of mechanical stimuli six hours after mechanical loading. The modulation of MEPE expression may indicate a connection between bone mineralization and bone formation after mechanical stimulation. Two groups: LOAD vs contralateral control and SHAM vs contralateral control (n=5/group)
Project description:Skeletal integrity in humans and animals is maintained by daily mechanical loading. It has been widely accepted that osteocytes function as mechanosensors. Many biochemical signaling molecules are involved in the response of osteocytes to mechanical stimulation. The aim of this study was to identify genes involved in the translation of mechanical stimuli into bone formation. The four-point bending model was used to induce a single period of mechanical loading (comprising 300 cycles (2 Hz) using a peak magnitude of 60 N) on the right tibia, while the contra lateral left tibia served as control. Six hours after loading, the effects of mechanical loading on gene-expression were determined with microarray analysis. Protein expression of differentially regulated genes was evaluated with immunohistochemistry. Nine genes were found to exhibit a significant differential gene expression in LOAD compared to control. MEPE, Garnl1, V2R2B, and QFG TN1 olfactory receptor were up-regulated, and creatine kinase (muscle form), fibrinogen-B beta-polypeptide, monoamine oxidase A, troponin-C and kinesin light chain-C were down-regulated. Validation with real-time RT-PCR analysis confirmed the up regulation of MEPE and the down-regulation of creatine kinase (muscle form) and troponin-C in the loaded tibia. Immunohistochemistry showed that the increase of MEPE protein expression was already detectable six hours after mechanical loading. In conclusion, these genes probably play a role during translation of mechanical stimuli six hours after mechanical loading. The modulation of MEPE expression may indicate a connection between bone mineralization and bone formation after mechanical stimulation.
Project description:To investigate potential mechanisms for the synergism of L-BAIBA and mechanical loading on bone formation, RNA Seq was performed on osteocyte-enriched cortical bone from mice treated with L-BAIBA and sub-optimal mechanical loading (8.25N) for either long-term (2 weeks L-BAIBA and loading) or short-term (5 days L-BAIBA and a single bout of mechanical loading).
Project description:Proctor2016 - Circadian rhythm of PTH and the
dynamics of signaling molecules on bone remodeling
This model is described in the article:
Simulated Interventions to
Ameliorate Age-Related Bone Loss Indicate the Importance of
Timing.
Proctor CJ, Gartland A.
Front Endocrinol (Lausanne) 2016; 7:
61
Abstract:
Bone remodeling is the continuous process of bone resorption
by osteoclasts and bone formation by osteoblasts, in order to
maintain homeostasis. The activity of osteoclasts and
osteoblasts is regulated by a network of signaling pathways,
including Wnt, parathyroid hormone (PTH), RANK
ligand/osteoprotegrin, and TGF-?, in response to stimuli, such
as mechanical loading. During aging there is a gradual loss of
bone mass due to dysregulation of signaling pathways. This may
be due to a decline in physical activity with age and/or
changes in hormones and other signaling molecules. In
particular, hormones, such as PTH, have a circadian rhythm,
which may be disrupted in aging. Due to the complexity of the
molecular and cellular networks involved in bone remodeling,
several mathematical models have been proposed to aid
understanding of the processes involved. However, to date,
there are no models, which explicitly consider the effects of
mechanical loading, the circadian rhythm of PTH, and the
dynamics of signaling molecules on bone remodeling. Therefore,
we have constructed a network model of the system using a
modular approach, which will allow further modifications as
required in future research. The model was used to simulate the
effects of mechanical loading and also the effects of different
interventions, such as continuous or intermittent
administration of PTH. Our model predicts that the absence of
regular mechanical loading and/or an impaired PTH circadian
rhythm leads to a gradual decrease in bone mass over time,
which can be restored by simulated interventions and that the
effectiveness of some interventions may depend on their
timing.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000612.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
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Project description:Mechanical loading is a potent strategy to induce bone formation, but with aging, the bone formation response to the same mechanical stimulus diminishes. Our main objectives were to (i) discover the potential transcriptional differences and (ii) compare the periosteal cell proliferation between tibias of young-adult and old mice in response to strain-matched mechanical loading. First, to discover potential age-related transcriptional differences, we performed RNA sequencing (RNA-seq) to compare the loading responses between tibias of young-adult (5-month) and old (22-month) C57BL/6N female mice following 1, 3, or 5 days of axial loading (loaded versus non-loaded). Compared to young-adult mice, old mice had less transcriptional activation following loading at each time point, as measured by the number of differentially expressed genes (DEGs) and the fold-changes of the DEGs. Old mice engaged fewer pathways and gene ontology (GO) processes, showing less activation of processes related to proliferation and differentiation. In tibias of young-adult mice, we observed prominent Wnt signaling, extracellular matrix (ECM), and neuronal responses, which were diminished with aging. Additionally, we identified several targets that may be effective in restoring the mechanoresponsiveness of aged bone, including nerve growth factor (NGF), Notum, prostaglandin signaling, Nell-1, and the AP-1 family. Second, to directly test the extent to which periosteal cell proliferation was diminished in old mice, we used bromodeoxyuridine (BrdU) in a separate cohort of mice to label cells that divided during the 5-day loading interval. Young-adult and old mice had an average of 15.5 and 16.7 BrdU+ surface cells/mm, respectively, suggesting that impaired proliferation in the first 5 days of loading does not explain the diminished bone formation response with aging. We conclude that old mice have diminished transcriptional activation following mechanical loading, but periosteal proliferation in the first 5 days of loading does not differ between tibias of young-adult and old mice.
Project description:Mechanical loading induces bone formation in young rodents, but mechanoresponsiveness is reduced with age. Glycolytic activity and mitochondrial dysfunction increase with age and may change bone mechanotransduction. To evaluate load-induced changes to bioenergetic activity in young and adult animals, we loaded the tibia of 10-wk and 26-wk female mice and examined transcriptomic responses at the mid-diaphysis, metaphyseal cortical shell, and cancellous core. Across all biological processes, oxidative phosphorylation and mitochondrial pathways were most often enriched with loading and had opposite enrichment in young and adult animals. Following loading, young animals had temporally-coordinated differential expression of mitochondrial-associated genes, with greatest expression at the mid-diaphysis. In adults, bioenergetic gene expression was lower compared to young animals.
Project description:The advent of high-throughput measurements of gene expression and bioinformatics analysis methods offers new ways to study gene expression patterns. The primary goal of this study was to determine the time sequence for gene expression in a bone subjected to mechanical loading, during key periods of the bone formation process, including expression of matrix-related genes, the appearance of active osteoblasts, and bone desensitization. A standard model for bone loading was employed in which the right forelimb was loaded axially for three minutes per day, while the left forearm served as a non-loaded, contralateral control. We evaluated loading-induced gene expression over a time course of 4 hours to 32 days after the first loading session. Six distinct, time-dependent patterns of gene expression were identified over the time course and categorized into three primary clusters: genes upregulated early in the time course, genes upregulated during matrix formation, and genes downregulated during matrix formation. Genes were then grouped based on function and/or signaling pathways. Many gene groups known to be important in loading-induced bone formation were identified within the clusters, including AP-1-related genes in the early response cluster, matrix-related genes in the upregulated gene clusters, and Wnt/?-catenin signaling pathway inhibitors in the downregulated gene clusters. Several novel gene groups were identified as well, including chemokine-related genes which were upregulated early but downregulated later in the time course, solute carrier genes which were both up- and downregulated, and muscle-related genes which were primarily downregulated. Time Course with 11 time points, each plus & minus mechanical stimulation with 5 replicates per experimental group (except 12d group which has 4 replicates). Daily mechanical loading was applied to the forearm (24 hours between loading sessions), and ulnae were sampled at indicated time points (4h, 12h, 1d, 2d, 4d, 6d, 8d, 12d, 16d, 24d, or 32d).