Objective: Shared epitope (SE)-coding alleles are associated with bone erosion in several diseases, including rheumatoid arthritis (RA) and periodontal disease (PD), but the underlying mechanism is unknown. We have recently identified the SE as an osteoclast-activating ligand. To better understand the biological effects of the SE in vivo, here we sought to determine whether it can facilitate spontaneous bone damage in naïve mice.
Methods: 3-month old naïve transgenic mice that carry the human SE-coding allele , or a SE-negative allele were studied Bone tissues were analysed by micro-CT, and the tooth-supporting tissues were studied by histology, immunohistochemistry and immunofluorescence. Serum biomarkers were determined by ELISA.
Results: Transgenic mice expressing the SE-coding 01 allele, but not mice carrying the SE-negative allele , showed spontaneous PD associated with interleukin (IL)-17 overabundance and periostin disruption. Mandibular bone volumetric and mineralisation parameters were significantly lower in SE-positive mice, and alveolar bone resorption was significantly increased in these mice. SE-positive mice also had more slender tibiae, and their marrow, cortical and total areas were lower than those of SE-negative mice. Additionally, significantly increased serum IL-17, tumour necrosis factor-α and osteoprotegrin levels were found in SE-positive mice, while their receptor activator of nuclear factor κ-B ligand levels were significantly lower.
Conclusions: A human SE-coding allele increases the propensity to spontaneous bone-destructive periodontal inflammation and skeletal bone damage in transgenic mice. These findings provide new insights into the previously documented but poorly understood association of the SE with accelerated bone erosion in RA and several other human diseases.
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http://dx.doi.org/10.1136/rmdopen-2016-000349 | DOI Listing |
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National Research Institute of Chinese Medicine, Ministry of Health and Welfare, Taipei City, 112026, Taiwan.
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Mol Neurodegener
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College of Life Sciences and Oceanography, Brain Disease and Big Data Research Institute, Shenzhen University, Shenzhen, 518060, Guangdong, China.
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