The Use of Genomics and Pathway Analysis in Our Understanding and Prediction of Clinical Renal Transplant Injury.
The Use of Genomics and Pathway Analysis in Our Understanding and Prediction of Clinical Renal Transplant Injury.
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DOI：
10.1097/tp.0000000000000943
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发表时间：
2016-07
期刊：
影响因子：
6.2
通讯作者：
OʼConnell PJ
中科院分区：
文献类型：
--
作者：
Menon MC;Keung KL;Murphy B;OʼConnell PJ
高通量分子谱的发展和应用改变了人类疾病的研究。复杂计算分析的进步促进了处理大型复杂数据集的问题。本文综述了近年来有关转录基因组信息在肾移植中的应用的文献，具体涉及急性排斥反应、同种异体移植急性肾损伤、慢性同种异体移植损伤和耐受性，以及目前发表的关于其他“组学”策略的数据——蛋白质组学、代谢组学和微rna转录组学。这些数据为我们理解肾移植后特定疾病的发病机制提供了新的视角，但它们作为疾病生物标志物的效用受到研究设计和样本量的限制。这篇综述旨在强调基因组学和其他相关技术存在的机遇和障碍，以便更好地理解和预测肾移植的结果。
The development and application of high-throughput molecular profiling have transformed the study of human diseases. The problem of handling large, complex datasets has been facilitated by advances in complex computational analysis. In this review the recent literature regarding the application of transcriptional genomic information to renal transplantation, with specific reference to acute rejection, acute kidney injury in allografts, chronic allograft injury and tolerance is discussed, as is the current published data regarding other “omics” strategies- proteomics, metabolomics and the micro-RNA transcriptome. These data have shed new light on our understanding of the pathogenesis of specific disease conditions following renal transplantation but their utility as a biomarker of disease has been hampered by study design and sample size. This review aims to highlight the opportunities and obstacles that exist with genomics and other related technologies in order to better understand and predict renal allograft outcome.