Multiple-biomarkers provide powerful prediction of early acute renal allograft rejection by combination of serum fractalkine, IFN-γ and IP-10
首发时间:2018-05-16
Abstract: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
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通过联合血清fractalkine,IFN-γ和IP-10多个生物标记分子提高预测早期急性肾移植排斥反应的能力
摘要:目的:目前需要生物标志物来预测排斥反应和早期抗排斥治疗,以防止移植物功能受损。我们推测血清fractalkine,IFN-γ和IP-10的组合可以作为预测早期急性排斥反应的有效生物标志物。方法:我们将87名肾移植受者被分为急性排斥组(ARG; n = 38)和非排斥组(NRG; n = 49),进行回顾性研究。通过Luminex测量血清fractalkine,IFN-γ和IP-10水平。结果:ARG第0天的fractalkine,第4天的IP-10,第7天的fractalkine,IFN-γ和IP-10水平显着高于NRG。 Kaplan-Meier生存分析显示高水平组的第0天,第4天和第7天的fractalkine水平较高,第0天,第1天,第4天和第7天的IFN-γ水平,第4天和第7天的IP-10水平无排斥生存期概率显着低于低水平组。ROC分析显示了第0天的fractalkine,第0天,第4天和第7天的IP-10以及第0天,第1天和第7天的IFN-γ预测急性排斥的具有优势。我们发现第0天的fractalkine,第7天的IP-10和第7天的IFN-γ的组合具有预测排斥的最高AUC(0.866),灵敏度为86.8%,特异性为89.8%。结论:我们的研究结果表明,通过联合使用fractalkine,IFN-γ和IP-10的多种生物标志物,可以更有效地预测早期急性肾移植排斥反应,并且这些结果可能有助于对移植受者急性同种异体移植排斥免疫风险进行分级。
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通过联合血清fractalkine,IFN-γ和IP-10多个生物标记分子提高预测早期急性肾移植排斥反应的能力
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