Li F, Qian W, Quan X, Yang H, Zhao G, Wei L
School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Institute of Organ Transplantation, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Transplant Proc. 2019 Apr;51(3):715-721. doi: 10.1016/j.transproceed.2019.01.051. Epub 2019 Jan 26.
The present diagnostic methods for detecting graft damage after kidney transplantation are either invasive or not available early enough. The microRNAs (miRNAs) in peripheral blood mononuclear cells (PBMCs) have been suggested as promising biomarkers.
Using quantitative real-time polymerase chain reaction, we identified 9 miRNAs (miR-142-5p, miR-142-3p, miR-223, miR-211, miR-486, miR-155, miR-10b, miR-30a, and let-7c) related to the human renal allograft status in PBMCs from 104 kidney transplant recipients.
The miR-142-5p, miR-142-3p, and miR-223 were significantly upregulated and miR-10b was significantly downregulated in recipients with abnormal levels of serum creatinine 3 to 4 weeks after initial sample collection. Moreover, the miR-142-5p and miR-142-3p were also found to be significantly upregulated in recipients with abnormal levels of cystatin C. Through a combination of the validated miRNAs, receiver operating characteristic analyses yielded the highest area under the curve value of 0.7913 and 0.7063 in predicting the levels of serum creatinine and cystatin C, respectively. In the testing stage, the developed models correctly predicted allograft function in 16 to 17 of 22 recipients (false rate, 22.7%-27.2%).
miRNAs in PBMCs of recipients hold great promise to be used as predictive and noninvasive biomarkers after transplantation.
目前用于检测肾移植后移植物损伤的诊断方法要么具有侵入性，要么不够早期可用。外周血单个核细胞（PBMC）中的微小RNA（miRNA）被认为是有前景的生物标志物。
我们使用定量实时聚合酶链反应，在104名肾移植受者的PBMC中鉴定出9种与人类肾移植状态相关的miRNA（miR-142-5p、miR-142-3p、miR-223、miR-211、miR-486、miR-155、miR-10b、miR-30a和let-7c）。
在初次采样后3至4周血清肌酐水平异常的受者中，miR-142-5p、miR-142-3p和miR-223显著上调，miR-10b显著下调。此外，在胱抑素C水平异常的受者中也发现miR-142-5p和miR-142-3p显著上调。通过对经验证的miRNA进行组合，受试者工作特征分析在预测血清肌酐和胱抑素C水平时分别产生了最高曲线下面积值0.7913和0.7063。在测试阶段，所开发的模型在22名受者中的16至17名中正确预测了移植物功能（错误率为22.7%-27.2%）。
受者PBMC中的miRNA极有希望用作移植后预测性和非侵入性生物标志物。
