Transplant International (Sep 2024)

Low-Volume Ex Situ Lung Perfusion System for Single Lung Application in a Small Animal Model Enables Optimal Compliance With “Reduction” in 3R Principles of Animal Research

  • K. Katsirntaki,
  • K. Katsirntaki,
  • S. Hagner,
  • S. Hagner,
  • C. Werlein,
  • P. Braubach,
  • D. Jonigk,
  • D. Jonigk,
  • D. Adam,
  • D. Adam,
  • H. Hidaji,
  • H. Hidaji,
  • C. Kühn,
  • C. Kühn,
  • C. S. Falk,
  • C. S. Falk,
  • A. Ruhparwar,
  • A. Ruhparwar,
  • A. Ruhparwar,
  • B. Wiegmann,
  • B. Wiegmann,
  • B. Wiegmann

DOI
https://doi.org/10.3389/ti.2024.13189
Journal volume & issue
Vol. 37

Abstract

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Ex situ lung perfusion (ESLP) is used for organ reconditioning, repair, and re-evaluation prior to transplantation. Since valid preclinical animal models are required for translationally relevant studies, we developed a 17 mL low-volume ESLP for double- and single-lung application that enables cost-effective optimal compliance “reduction” of the 3R principles of animal research. In single-lung mode, ten Fischer344 and Lewis rat lungs were subjected to ESLP and static cold storage using STEEN or PerfadexPlus. Key perfusion parameters, thermal lung imaging, blood gas analysis (BGA), colloid oncotic pressure (COP), lung weight gain, histological work-up, and cytokine analysis were performed. Significant differences between perfusion solutions but not between the rat strains were detected. Most relevant perfusion parameters confirmed valid ESLP with homogeneous lung perfusion, evidenced by uniform lung surface temperature. BGA showed temperature-dependent metabolic activities with differences depending on perfusion solution composition. COP is not decisive for pulmonary oedema and associated weight gain, but possibly rather observed chemokine profile and dextran sensitivity of rats. Histological examination confirmed intact lung architecture without infarcts or hemorrhages due to optimal organ procurement and single-lung application protocol using our in-house-designed ESLP system.

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