A novel ex-vivo porcine renal xenotransplantation model using a pulsatile machine preservation system.
Publication/Presentation Date
1-1-2011
Abstract
BACKGROUND: Animal models to investigate pathophysiology and xenotransplantation require complex techniques and significant animal utilization. The aim of the study was to develop a reliable ex-vivo technique to test xenotransplant interventions.
MATERIAL/METHODS: Miniature Swine being utilized for a nonsurvival study acted as donor animals. Kidneys were flushed and rapidly explanted and chilled to 4°C. Kidneys were assigned to be the control (CK) (n=3) and the mate were used as a Xenograft Kidneys (XK) (n=3). Kidneys were perfused on separate Waters RM 3 perfusion devices. Perfusion temperature was 35-37°C and pressure was 100-110/60-70 mmHg at 60 pulses per minute. CKs were reperfused with autologous blood collected at the time of organ procurement. XKs were reperfused using freshly donated whole human blood. Physical characteristics, urine output were recorded. Core needle biopsies were obtained and examined by a blinded pathologist for evidence of antibody mediated rejection.
RESULTS: XK kidneys demonstrated homogenous reperfusion which rapidly became patchy at 5-7 minutes. XK kidneys had become complete black and thrombosed by 60-70 minutes. XK biopsies demonstrated peritubular capillaritis. CK kidneys demonstrated homogenous reperfusion and urine production. H&E stain of CKs only demonstrated nonspecific inflammation.
CONCLUSIONS: Our ex-vivo porcine xenotransplant model shows early promise as a tool for studying Xeno- associated hyperacute rejection. This technique saves resources and animal utilization.
Volume
16
Issue
1
First Page
80
Last Page
82
ISSN
2329-0358
Published In/Presented At
Guarrera, J. V., Stone, J., Tulipan, J., Jhang, J., Arrington, B., Boykin, J., Markowitz, G., & Ratner, L. E. (2011). A novel ex-vivo porcine renal xenotransplantation model using a pulsatile machine preservation system. Annals of transplantation, 16(1), 80–82.
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
21436780
Department(s)
Administration and Leadership
Document Type
Article