Multiple-biomarkers provide powerful prediction of early acute renal allograft rejection by combination of serum fractalkine, IFN-γ and IP-10.

Biomarkers are urgently required for predicting rejection so that anti-rejection treatment can be taken early to protect the allograft from irreversible damage. We hypothesized that the combination of circulating fractalkine, IFN-γ and IP-10 might serve as effective biomarkers for predicting early acute renal allograft rejection. We conducted a retrospective study of 87 subjects, who were classified into acute rejection group (ARG; n = 38) and non-rejection group (NRG; n = 49). Serum fractalkine, IFN-γ and IP-10 levels were measured by Luminex. The levels of fractalkine on day 0 and 7th day, IP-10 on 4th and 7th day, and IFN-γ on 7th day in ARG was significantly higher than that in NRG. Kaplan-Meier survival analysis highlighted the higher-levels groups of fractalkine on day 0, 4th and 7th day, IFN-γ on day 0, 1st, 4th, and 7th day and IP-10 on the 4th and 7th day in rejection-free survival probability were significantly lower than low-levels groups. ROC analyses highlight the superiority of fractalkine on day 0, IP-10 on day 0, 4th and 7th day, and IFN-γ on day 0, 1st and 7th day in prediction of acute rejection. We found the combination of fractalkine on day 0, IP-10 on 7th day and IFN-γ on 7th day had the highest AUC (0.866) for predicting rejection with a sensitivity of 86.8% and a specificity of 89.8%. Our findings demonstrated a more powerful prediction of early acute renal allograft rejection during the first month after transplantation by combination of multiple-biomarkers of fractalkine, IFN-γ and IP-10, and the results might help stratify the immunologic risk of acute allograft rejection in recipients.

Kidney injury molecule-1 and osteopontin: new markers for prediction of early kidney transplant rejection.

BACKGROUND: Kidney injury molecule-1 (KIM-1) and osteopontin (OPN) play important roles in immune regulation. We hypothesized that serum KIM-1 and OPN might serve as biomarkers for predicting early acute rejection after kidney transplantation (KTx). METHODS: We conducted a single-center study of 155 subjects, who were classified into acute rejection group (ARG, n=32), non-rejection group (NRG, n=45) and healthy controls (HC, n=78). Serum KIM-1 and OPN levels were measured by Luminex. RESULTS: The pre-transplant levels of serum KIM-1 and OPN in all KTx recipients were higher than those of HC (P<0.01). Compared with NRG, ARG showed significantly high serum levels of KIM-1 on day 0 (pre-KTx) and on the 1st, 4th, and 7th post-KTx days, and significantly high OPN levels on day 0 and the 7th day. Kaplan-Meier survival analysis showed that the higher levels of KIM-1 on day 0, the 1st and 4th days and OPN on day 0 and the 7th day were significantly associated with the lower probabilities of rejection-free survival. ROC analyses highlight the superiority of KIM-1 on the 1st day and OPN on the 7th day over those on other post-KTx days in prediction of acute rejection episodes. Multivariate logistic analysis revealed that the serum KIM-1 levels on the 1st post-KTx day and the OPN level on the 7th day were independent and powerful predictors of acute rejection episodes. An optimal predictive model was built by combining KIM-1 on the 1st day and OPN on the 7th day, and this model had the highest AUC (0.922). CONCLUSIONS: This study was the first to demonstrate that serum KIM-1 and OPN may be the promising and elegant markers for prediction of early acute kidney allograft rejection.