The molecular mechanism of osteoclastogenesis in rheumatoid arthritis
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Bone-resorbing osteoclasts are formed from hemopoietic cells of the monocyte–macrophage lineage under the control of bone-forming osteoblasts. We have cloned an osteoblast-derived factor essential for osteoclastogenesis, the receptor activator of NF-κB ligand (RANKL). Synovial fibroblasts and activated T lymphocytes from patients with rheumatoid arthritis also express RANKL, which appears to trigger bone destruction in rheumatoid arthritis as well. Recent studies have shown that T lymphocytes produce cytokines other than RANKL such as IL-17, granulocyte–macrophage colony-stimulating factor and IFN-γ, which have powerful regulatory effects on osteoclastogenesis. The possible roles of RANKL and other cytokines produced by T lymphocytes in bone destruction are described.
Mechanisms of bone loss in inflammatory arthritis: diagnosis and therapeutic implications
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Rheumatoid arthritis represents an excellent model in which to gain insights into the local and systemic effects of joint inflammation on skeletal tissues. Three forms of bone disease have been described in rheumatoid arthritis. These include: focal bone loss affecting the immediate subchondral bone and bone at the joint margins; periarticular osteopenia adjacent to inflamed joints; and generalized osteoporosis involving the axial and appendicular skeleton. Although these three forms of bone loss have several features in common, careful histomorphometric and histopathological analysis of bone tissues from different skeletal sites, as well as the use of urinary and serum biochemical markers of bone remodeling, provide compelling evidence that different mechanisms are involved in their pathogenesis. An understanding of these distinct pathological forms of bone loss has relevance not only with respect to gaining insights into the different pathological mechanisms, but also for developing specific and effective strategies for preventing the different forms of bone loss in rheumatoid arthritis.
Delayed union of femoral fractures in older rats:decreased gene expression
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Background Fracture healing slows with age. While 6-week-old rats regain normal bone biomechanics at 4 weeks after fracture, one-year-old rats require more than 26 weeks. The possible role of altered mRNA gene expression in this delayed union was studied. Closed mid-shaft femoral fractures were induced followed by euthanasia at 0 time (unfractured) or at 1, 2, 4 or 6 weeks after fracture in 6-week-old and 12-15-month-old Sprague-Dawley female rats. mRNA levels were measured for osteocalcin, type I collagen α1, type II collagen, bone morphogenetic protein (BMP)-2, BMP-4 and the type IA BMP receptor. Results For all of the genes studied, the mRNA levels increased in both age groups to a peak at one to two weeks after fracture. All gene expression levels decreased to very low or undetectable levels at four and six weeks after fracture for both age groups. At four weeks after fracture, the younger rats were healed radiographically, but not the older rats. Conclusions (1) All genes studied were up-regulated by fracture in both age groups. Thus, the failure of the older rats to heal promptly was not due to the lack of expression of any of the studied genes. (2) The return of the mRNA gene expression to baseline values in the older rats prior to healing may contribute to their delayed union. (3) No genes were overly up-regulated in the older rats. The slower healing response of the older rats did not stimulate a negative-feedback increase in the mRNA expression of stimulatory cytokines.
IL-17 derived from juxta-articular bone and synovium contributes to joint degradation in rheumatoid arthritis
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The origin and role of IL-17, a T-cell derived cytokine, in cartilage and bone destruction during rheumatoid arthritis (RA) remain to be clarified. In human ex vivo models, addition of IL-17 enhanced IL-6 production and collagen destruction, and inhibited collagen synthesis by RA synovium explants. On mouse cartilage, IL-17 enhanced cartilage proteoglycan loss and inhibited its synthesis. On human RA bone explants, IL-17 also increased bone resorption and decreased formation. Addition of IL-1 in these conditions increased the effect of IL-17. Blocking of bone-derived endogenous IL-17 with specific inhibitors resulted in a protective inhibition of bone destruction. Conversely, intra-articular administration of IL-17 into a normal mouse joint induced cartilage degradation. In conclusion, the contribution of IL-17 derived from synovium and bone marrow T cells to joint destruction suggests the control of IL-17 for the treatment of RA.
['"Molecular Transducers of Human Skeletal Muscle Remodeling under Different Loading States"']
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['"The annotation of the Affymetrix HTA 2.0 array was updated to optimise the detection of RNA in human skeletal muscle biopsy samples by removing invalid and low signal-high-variance probes (as for CDF GPL24047). The probes were then summarized into groups (probe-sets) reflecting either an ensembl full transcript identifier (FL-ENST, GPL24047) or just the probes targeting the 3\' UTR or the 5\' UTR of that particular ENST. Therefore, 3 different CDF were used to process the HTA 2.0 arrays in this study. Note that each CEL file was GC adjusted using APT while our custom CDF pipeline removes any probe that has >80% or <20% GC content (~50,000). The analysis was carried out only on the pairs of probe-sets i.e. FL-ENST vs 3\'UTR or FL-ENST vs 5\'UTR or 3\'UTR vs 5\'UTR. Dynamic muscle loading alters tissue phenotype reflecting altered metabolic and functional demands. In humans, heterogeneous adaptation to loading complicates identification of the underpinning molecular regulators. We present a within-person analysis strategy that reduced heterogeneity for changes in muscle mass by ~40% and employed a genome-wide transcriptome method that modeled each mRNA from coding exons and 3’/5’ untranslated (UTR) regions. Our strategy detected ~3-4 times more regulated genes than similarly sized studies, including substantial UTR-selective regulation that other methods would not detect. We discovered a core of 141 genes correlated to muscle growth validated from newly analyzed independent samples (n=100). Further validating these identified genes, via RNAi in primary muscle cells, we demonstrate that members of the core genes were regulators of protein synthesis e.g. Molecular Transducers of Physical Activity in Humans MoTrPAC. Employing proteome-constrained networks and pathway analysis revealed notable relationships with the molecular characteristics of human muscle aging and insulin sensitivity, as well as potential drug-therapies."']