Plasma Macrophage Migration Inhibitory Factor Predicts Graft Function Following Kidney Transplantation: A Prospective Cohort Study.
Plasma Macrophage Migration Inhibitory Factor Predicts Graft Function Following Kidney Transplantation: A Prospective Cohort Study.
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血浆巨噬细胞迁移抑制因子预测肾移植后的移植物功能:一项前瞻性队列研究
DOI:
10.3389/fmed.2021.708316
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发表时间:
2021
影响因子:
3.9
通讯作者:
Sun Q
中科院分区:
文献类型:
--
作者:
Ye Y;Han F;Ma M;Sun Q;Huang Z;Zheng H;Yang Z;Luo Z;Liao T;Li H;Hong L;Na N;Sun Q
Background: Delayed graft function (DGF) is a common complication after kidney transplantation (KT) with a poor clinical outcome. There are no accurate biomarkers for the early prediction of DGF. Macrophage migration inhibitory factor (MIF) release during surgery plays a key role in protecting the kidney, and may be a potential biomarker for predicting post-transplant renal allograft recovery. Methods: Recipients who underwent KT between July 2020 and December 2020 were enrolled in the study. Plasma MIF levels were tested in recipients at different time points, and the correlation between plasma MIF and DGF in recipients was evaluated. This study was registered in the Chinese Clinical Trial Registry (ChiCTR2000035596). Results: Intraoperative MIF levels were different between immediate, slowed, and delayed graft function groups (7.26 vs. 6.49 and 5.59, P < 0.001). Plasma MIF was an independent protective factor of DGF (odds ratio = 0.447, 95% confidence interval [CI] 0.264–0.754, P = 0.003). Combining plasma MIF level and donor terminal serum creatinine provided the best predictive power for DGF (0.872; 95%CI 0.795–0.949). Furthermore, plasma MIF was significantly associated with allograft function at 1-month post-transplant (R2 = 0.42, P < 0.001). Conclusion: Intraoperative MIF, as an independent protective factor for DGF, has excellent diagnostic performance for predicting DGF and is worthy of further exploration.
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影响因子:
6.2
作者:
Huang, Jiefu;Wang, Haibo;Liu, Yongfeng
通讯作者:
Liu, Yongfeng
影响因子:
3.7
作者:
Payen D;Lukaszewicz AC;Legrand M;Gayat E;Faivre V;Megarbane B;Azoulay E;Fieux F;Charron D;Loiseau P;Busson M
通讯作者:
Busson M
影响因子:
4.6
作者:
Hong MY;Tseng CC;Chuang CC;Chen CL;Lin SH;Lin CF
通讯作者:
Lin CF
影响因子:
6.1
作者:
Han, Fei;Lin, Min-Zhuan;Sun, Qi-Quan
通讯作者:
Sun, Qi-Quan
影响因子:
19.6
作者:
Hollmen, Maria E.;Kyllonen, Lauri E.;Salmela, Kaija T.
通讯作者:
Salmela, Kaija T.