The establishment of an lung perfusion rat model: insights from Jiangxi, China.

The scarcity of viable donor lungs is a formidable obstacle in lung transplantation (LTx) surgery. This issue significantly hinders the availability of this life-saving procedure for patients in need. To alleviate this shortage, researchers have turned to ex vivo lung perfusion (EVLP) technology as a means to evaluate and potentially repair marginal donor lungs, thereby increasing the donor pool and improving access to transplantation. However, it is important to note that the current capabilities of EVLP technology are still somewhat limited, and further research, development, and optimization are necessary to maximize its potential. To advance this field of study, animal experiments play a crucial role in providing a controlled environment for exploring the possibilities and limitations of EVLP. Among the various animal models available, the small animal EVLP platform for rats stands out by virtue of its simplicity, convenience, and cost-effectiveness. This platform offers researchers a unique opportunity to gain valuable insights into the workings of EVLP and its potential applications in LTx. However, conducting these experiments is not without its challenges. The complexity of the procedure requires a deep understanding of the relevant considerations and operational skills. To ensure the success of these experiments, it is essential that researchers have a comprehensive grasp of the intricacies involved. Drawing upon our practical experience over the past 3 years, our Jiangxi team has systematically refined and summarized the specific details of a rat EVLP experiment in this paper. It encompasses a comprehensive overview of the experimental setup, procedural steps, and potential pitfalls that should be kept in mind. We believe that this information will serve as a valuable resource for researchers in the field, providing them with a solid foundation upon which to build their own experiments and further advance the study of EVLP in LTx.