| Literature DB >> 30953717 |
Ioannis Gkouveris1, Danny Hadaya1, Akrivoula Soundia1, Olga Bezouglaia1, Yee Chau1, Sarah M Dry2, Flavia Q Pirih3, Tara L Aghaloo4, Sotirios Tetradis5.
Abstract
Osteonecrosis of the jaw (ONJ), a rare, but potentially severe side effect of anti-resorptive medications, presents as exposed bone in the maxillofacial region lasting for at least 8 weeks. While clinical experience and animal models concur in finding that systemic antiresorptive treatment in conjunction with local risk factors, such as tooth extraction or dental disease may lead to ONJ development, the subclinical molecular changes that precede bone exposure remain poorly understood. The identification of these changes is not only important in understanding disease pathophysiology, but could provide potential for treatment development. Here, we evaluated the early stages of ONJ utilizing a model of experimental periodontitis (EP) in mice treated with two different types of antiresorptives, targeting potential changes in vasculature, hypoxia, oxidative stress, and apoptosis. Antiresorptive treatment in animals with EP increased levels of empty osteocytic lacunae and increased ONJ prevalence compared to Veh animals. The arteriole and venule network seen around EP areas was diminished in animals treated with antiresorptives. Higher levels of vascular endothelial growth factor A (VEGF-A) and vascular cell adhesion protein-1 (VCAM-1) were observed 1-week following EP in treated animals. Finally, levels of hypoxia, oxidative stress, and apoptosis remained high in antiresorptive treated animals with EP through the duration of the experiment. Together, our data point to subclinical vasculature organizational disturbances that subsequently affect levels of hypoxia, oxidative stress, and apoptosis in the area of developing ONJ.Entities:
Keywords: Anti-resorptives; Bisphosphonates; Osteoclasts; Osteonecrosis of the jaw
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Year: 2019 PMID: 30953717 PMCID: PMC6763394 DOI: 10.1016/j.bone.2019.03.031
Source DB: PubMed Journal: Bone ISSN: 1873-2763 Impact factor: 4.398