Radiation impacts on toxicity of cobalt–chromium (CoCr) implant debris. Issue 1 (2nd January 2023)

• Record Type: Journal Article
• Authors: Trout, Kevin L.; Majumdar, Sanghamitra; Patri, Anil K.; Fahmi, Tariq
• Is Part Of: Nanotoxicology. Volume 17:Issue 1(2023)
• Page Start: 116
• Page End: 142
• Publication Date: 2023-01-02
• Subjects: Radiation -- medical device -- implant -- cobalt chromium -- wear debris; Toxicology -- Periodicals; 615.9
• DOI: 10.1080/17435390.2023.2191717
• Languages: English
• ISSNs: 1743-5390

Abstract

Abstract: Particulate and soluble debris are generated by mechanical and non-mechanical degradation of implanted medical devices. Debris containing cobalt and chromium (CoCr) is known to cause adverse biological reactions. Implant-related complications are often diagnosed using radiography, which results in more frequent patient exposure to ionizing radiation. The aim of this study was to evaluate the potential for increased toxicity due to combined radiation and CoCr exposure. This was investigated using a controlled in vitro model consisting of commercially available CoCr debris that was generated from components of hip replacements and human cell lines relevant to the joint environment: endothelial HMEC-1 and synovial SW982. Particle sizes and shapes were heterogenous. Cells tended to internalize smaller particles, as observed by electron microscopy. Indicators of toxicity were measured after short (24 h after radiation) or extended (12–14 d after radiation) exposure timelines. In the short-term, CoCr reduced cell viability, increased apoptosis, and increased oxidative stress. The effects of radiation were not apparent until the timeline was extended. CoCr and radiation reduced cell survival, with both additive and synergistic effects. Mechanisms for reduced survival included rapid cell death caused by CoCr and senescence caused by radiation. In conclusion, results showed combined toxicological effects of CoCr and radiation at the doses and timelines used for this in vitro model. These observations warrant further investigation using other experimental models to determine translational impact.