Assessment of serum Tim-3 and Gal-9 levels in predicting the risk of infection after kidney transplantation

Assessment of serum Tim-3 and Gal-9 levels in predicting the risk of infection after kidney transplantation
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血清Tim-3和Gal-9水平评估预测肾移植术后感染风险

DOI:
10.1016/j.intimp.2019.105803
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发表时间:
2019-10-01
影响因子:
5.6
通讯作者:
Shi, Yun Ying
Shi, Yun Ying
中科院分区:
医学2区
文献类型:
--
作者:
Li, Ya Mei;Li, Yi;Shi, Yun Ying

文献摘要

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感染仍然是肾移植(KT)后发病率和死亡率的主要原因。缺乏可靠的生物标志物来预测移植后感染。我们研究了移植前和移植后T细胞免疫球蛋白和粘蛋白结构域-3(Tim-3)和半乳糖凝集素-9(Gal-9)(两种多效性免疫调节分子)水平在感染早期识别中的预测性能。对95例KT受者在移植前和移植后30天(PTD 30)进行了血清Tim-3和Gal-9的配对测定。相对于移植前水平计算Tim-3和Gal-9的下降率。与未感染受者相比,有感染史的KTR具有显著更高的PTD 30 Tim-3和Gal-9水平,并且Gal-9的下降速率更慢,而两组之间在移植前水平方面没有观察到差异。移植后Tim-3和Gal-9预测移植后1年感染的AUC分别为0.653和0.711,相对Tim-3和Gal-9分别为0.664和0.670。调整潜在混杂因素后,PTD 30 Tim-3、Gal-9和相对Gal-9仍然是移植后感染的独立风险因素。我们的研究结果表明,PTD 30 Tim-3和Gal-9以及Gal-9的相对减少是识别具有高感染风险的KTR的有希望的预测因子,而移植前Tim-3和Gal-9对感染没有显示出预测能力。
Infection remains a major cause of morbidity and mortality after kidney transplantation (KT). Reliable bio-markers to predict post-transplant infection are lacking. We investigated the predictive performance of pre- and post-transplant levels of T-cell immunoglobulin and mucin domain-3 (Tim-3) and Galectin-9 (Gal-9), two pleiotropic immunomodulatory molecules, in early identification of infection. Serum Tim-3 and Gal-9 were paired measured before and 30 days after transplantation (PTD 30) in 95 KT recipients (KTRs). The decline rates of Tim-3 and Gal-9 were calculated relative to pre-transplant levels. KTRs with infection history had significantly higher levels of PTD 30 Tim-3 and Gal-9, and slower decrease rates of Gal-9 compared to non-infected recipients, while no difference was observed between two groups regarding pre-transplant levels. The AUCs for predicting 1-year post-transplant infection were 0.653 and 0.711 for post-transplant Tim-3 and Gal-9, 0.664 and 0.670 for relative Tim-3 and Gal-9, respectively. After adjusting for potential confounders, PTD 30 Tim-3, Gal-9 and relative Gal-9 remained as independent risk factors for post-transplant infection. Our results suggested that PTD 30 Tim-3 and Gal-9 and relative decrease of Gal-9 were promising predictors for identifying KTRs with high risk of infection, while pre-transplant Tim-3 and Gal-9 showed no predictive power to infection.