1. Expression of MICA in Zero Hour Biopsies Predicts Graft Survival After Liver Transplantation
- Author
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Resch, Thomas, Hackl, Hubert, Esser, Hannah, G��nther, Julia, Schwelberger, Hubert, Ritschl, Paul Viktor, Ebner, Susanne, Maglione, Manuel, Mellitzer, Vanessa, Biebl, Matthias, ��llinger, Robert, Zoller, Heinz, Schneeberger, Stefan, and Kotsch, Katja
- Subjects
Graft Rejection ,Male ,donor risk index ,Immunology ,graft quality assessment ,Predictive Value of Tests ,Humans ,Original Research ,liver transplantation ,Graft Survival ,Histocompatibility Antigens Class I ,Age Factors ,Bilirubin ,RC581-607 ,Middle Aged ,Prognosis ,Survival Analysis ,mortality ,Liver ,biomarker ,marginal donor ,Female ,Immunologic diseases. Allergy ,600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit ,Biomarkers - Abstract
In search for novel biomarkers to assess graft quality, we investigated whether defined candidate genes are predictive for outcome after liver transplantation (LT). Zero-hour liver biopsies were obtained from 88 livers. Gene expression of selected candidate markers was analyzed and correlated with clinical parameters as well as short and long-term outcomes post LT. Whereas both, the calculated Eurotransplant Donor-Risk-Index and the donor body mass index, had either a poor or no predictive value concerning serum levels indicative for liver function (ALT, AST, GGT, bilirubin) after 6 months, chronological donor age was weakly predictive for serum bilirubin (AUC=0.67). In contrast, the major histcompatibility complex class I related chain A (MICA) mRNA expression demonstrated a high predictive value for serum liver function parameters revealing an inverse correlation (e.g. for ALT: 3 months p=0.0332; 6 months p=0.007, 12 months 0.0256, 24 months p=0.0098, 36 months, p=0.0153) and proved significant also in a multivariate regression model. Importantly, high expression of MICA mRNA revealed to be associated with prolonged graft survival (p=0.024; log rank test) after 10 years of observation, whereas low expression was associated with the occurrence of death in patients with transplant related mortality (p=0.031). Given the observed correlation with short and long-term graft function, we suggest MICA as a biomarker for pre-transplant graft evaluation.
- Published
- 2020