1. Ex vivo lung perfusion for donor lung assessment and repair: a review of translational interspecies models
- Author
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Shaf Keshavjee, Aadil Ali, Mingyao Liu, Aizhou Wang, and Marcelo Cypel
- Subjects
Pulmonary and Respiratory Medicine ,medicine.medical_specialty ,Physiology ,medicine.medical_treatment ,Primary Graft Dysfunction ,030204 cardiovascular system & hematology ,030230 surgery ,03 medical and health sciences ,0302 clinical medicine ,Physiology (medical) ,medicine ,Animals ,Humans ,Lung transplantation ,Intensive care medicine ,Lung ,Donor pool ,business.industry ,Ex vivo lung perfusion ,Lung Injury ,Cell Biology ,respiratory system ,Respiration, Artificial ,Preclinical data ,Donor lungs ,Perfusion ,medicine.anatomical_structure ,Lung disease ,business ,Lung Transplantation - Abstract
For patients with end-stage lung disease, lung transplantation is a lifesaving therapy. Currently however, the number of patients who require a transplant exceeds the number of donor lungs available. One of the contributing factors to this is the conservative mindset of physicians who are concerned about transplanting marginal lungs due to the potential risk of primary graft dysfunction. Ex vivo lung perfusion (EVLP) technology has allowed for the expansion of donor pool of organs by enabling assessment and reconditioning of these marginal grafts before transplant. Ongoing efforts to optimize the therapeutic potential of EVLP are underway. Researchers have adopted the use of different large and small animal models to generate translational preclinical data. This includes the use of rejected human lungs, pig lungs, and rat lungs. In this review, we summarize some of the key current literature studies relevant to each of the major EVLP model platforms and identify the advantages and disadvantages of each platform. The review aims to guide investigators in choosing an appropriate species model to suit their specific goals of study, and ultimately aid in translation of therapy to meet the growing needs of the patient population.
- Published
- 2020