| |
| Background/Aims: Biomarkers are urgently required for predicting rejection and for early anti-rejection treatment to prevent the functional impairment of the graft. We hypothesized that the combination of circulating fractalkine, IFN-γ and IP-10 might serve as effective biomarkers for predicting early acute rejection. Methods: 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. Results: The levels of fractalkine on day 0, IP-10 on 4th day, fractalkine, IFN-γ and IP-10 on the 7th day in ARG was significantly higher than that in NRG. Kaplan-Meier survival analysis highlighted the higher-levels 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. 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%. Conclusion: Our findings demonstrated a more powerful prediction of early acute renal allograft rejection 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 patients.????? |
|
| Keywords:Acute Rejection ; Biomarker; Renal Transplantation ;Chemokine; Cytokine |
|
