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- Title
Primary nonfunction following liver transplantation: Learning of graft metabolites and building a predictive model.
- Authors
Zhang, Xueyou; Zhang, Cheng; Huang, Haitao; Chen, Ruihan; Lin, Yimou; Chen, Leiming; Shao, Lili; Liu, Jimin; Ling, Qi
- Abstract
Dear Editor, Primary nonfunction (PNF) is defined as the need for emergent re-transplant when a graft never presented any evidence of initial function following liver transplantation (LT) after excluding other causes such as acute cellular rejection or hepatic artery thrombosis.1 The cause of PNF is believed to be associated with graft quality, but the mechanism is largely unknown.1-3 With the increasing demand for extended criteria donors due to organ shortage, the precise assessment of graft quality, prediction, and early prevention of PNF become a major challenge.2,4 This letter was written to present the first pilot-scale study, which determined the grafts' metabolic profiling of developing PNF and constructed an integrated graft metabolites and clinical parameters-based PNF (GMCP-PNF) predictive model. The representative metabolites, which were enriched in the common pathways, are shown in Figure 1F. GLO:F2H7/01jul21:ctm2483-fig-0001.jpg PHOTO (COLOR): 1 Graft metabolomic features of primary nonfunction (PNF) and early allograft dysfunction (EAD) using UPLC-MS.
- Subjects
LIVER transplantation; METABOLITES; PREDICTION models
- Publication
Clinical & Translational Medicine, 2021, Vol 11, Issue 7, p1
- ISSN
2001-1326
- Publication type
Article
- DOI
10.1002/ctm2.483