Orthopaedic Surgery (Jun 2022)

Animal Models for Postoperative Implant‐Related Spinal Infection

  • Yongjie Wang,
  • Mingxue Che,
  • Zhi Zheng,
  • Jun Liu,
  • Xue Ji,
  • Yang Sun,
  • Jingguo Xin,
  • Weiquan Gong,
  • Shibo Na,
  • Yuanzhe Jin,
  • Shuo Wang,
  • Shaokun Zhang

DOI
https://doi.org/10.1111/os.13238
Journal volume & issue
Vol. 14, no. 6
pp. 1049 – 1058

Abstract

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Postoperative infections following implant‐related spinal surgery are severe and disastrous complications for both orthopaedic surgeons and patients worldwide. They can cause neurological damage, disability, and death. To better understand the mechanism of these destructive complications and intervene in the process, further research is needed. Therefore, there is an urgent need for efficient, accurate, and easily available animal models to study the pathogenesis of spinal infections and develop new and effective anti‐bacterial methods. In this paper, we provide a general review of the commonly used animal models of postoperative implant‐related spinal infections, describe their advantages and disadvantages, and highlight the significance of correctly choosing the model according to the infection aspect under investigation. These models are valuable tools contributing to the better understanding of postoperative spinal infections and will continue to facilitate the invention of novel preventative and treatment strategies for patients with postoperative spinal infections. However, although they are valid and reproducible in some respects, the current animal models present certain limitations. Future ideal spinal infection animal models may assess the bacterial load of the same animal in real‐time in vivo, and better mimic the human anatomy as well as surgical techniques. Strains other than Staphylococcus aureus account for a large proportion of postoperative spinal infections, and thus, the establishment of models to evaluate other types of microbial infections is expected in the future. Furthermore, novel transgenic models established on advancements in genome editing are also likely to be developed in the future.

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