A ferroptosis-related gene signature for graft loss prediction following renal allograft.
A ferroptosis-related gene signature for graft loss prediction following renal allograft.
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DOI：
10.1080/21655979.2021.1953310
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发表时间：
2021-12
期刊：
影响因子：
4.9
通讯作者：
Zeng Z
中科院分区：
文献类型：
--
作者：
Fan Z;Liu T;Huang H;Lin J;Zeng Z
同种异体肾移植是晚期肾脏疾病最有效的治疗方法。先前的研究表明，铁下垂参与急性肾损伤和肾移植衰竭的进展。然而，很少有研究评估铁下垂对肾移植结果的预后价值。本研究共鉴定出22个差异表达的嗜铁相关基因（DFGs），这些基因主要富集于感染相关途径。接下来，构建了一个铁凋亡相关的基因标记，包括ga结合蛋白转录因子亚基β 1 （GABPB1）、细胞周期蛋白依赖性激酶抑制剂1A （CDKN1A）、toll样受体4 （TLR4）、C-X-C基趋化因子配体2 （CXCL2）、小室蛋白1 （CAV1）和核糖核苷酸还原酶亚基M2 (RRM2)，以预测同种异体肾移植后的移植物损失。此外，受试者工作特征（ROC）曲线（ROC曲线下面积[AUC] > 0.8）证明了基因标记的准确性，单变量Cox分析表明基因标记可能在移植物损失中起独立作用（p < 0.05）。此外，nomogram和calibration plots也显示了基因标记良好的预后能力。最后，在预后较差的同种异体肾移植患者中，免疫相关和细胞因子信号通路大多富集。综上所述，我们基于DFGs创建了一个与铁中毒相关的基因标记和nomogram来预测同种异体肾移植患者1年、2年和3年的移植物丢失概率。基因标记可以作为预测移植物损失的有价值的生物标志物，有助于改善同种异体肾移植的预后。
Allogeneic kidney transplantation (renal allograft) is the most effective treatment for advanced kidney disease. Previous studies have indicated that ferroptosis participates in the progression of acute kidney injury and renal transplant failure. However, few studies have evaluated the prognostic value of ferroptosis on renal transplantation outcomes. In this study, a total of 22 differentially expressed ferroptosis-related genes (DFGs) were identified, which were mainly enriched in infection-related pathways. Next, a ferroptosis-related gene signature, including GA-binding protein transcription factor subunit beta 1 (GABPB1), cyclin-dependent kinase inhibitor 1A (CDKN1A), Toll-like receptor 4 (TLR4), C-X-C motif chemokine ligand 2 (CXCL2), caveolin 1 (CAV1), and ribonucleotide reductase subunit M2 (RRM2), was constructed to predict graft loss following renal allograft. Moreover, receiver operating characteristic (ROC) curves (area under the ROC curve [AUC] > 0.8) demonstrated the accuracy of the gene signature and univariate Cox analysis suggested that the gene signature could play an independent role in graft loss (p < 0.05). Furthermore, the nomogram and calibration plots also indicated the good prognostic capability of the gene signature. Finally, immune-related and cytokine signaling pathways were mostly enriched in renal allograft patients with poor outcomes. Considered together, a ferroptosis-related gene signature and nomogram based on DFGs were created to predict the 1-, 2- and 3- year graft loss probability of renal allograft patients.The gene signature could serve as a valuable biomarker for predicting graft loss, contributing to improving the outcome of allogeneic kidney transplantation.
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影响因子：
64.5
作者：
Dixon SJ;Lemberg KM;Lamprecht MR;Skouta R;Zaitsev EM;Gleason CE;Patel DN;Bauer AJ;Cantley AM;Yang WS;Morrison B 3rd;Stockwell BR
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通讯作者：
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影响因子：
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作者：
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