Division of Nephrology and Immunology, Department of Medicine, University of Alberta, Edmonton, AB, Canada.
Semin Immunopathol. 2011 Mar;33(2):185-99. doi: 10.1007/s00281-011-0248-x. Epub 2011 Jan 28.
The critical importance of donor organ quality, i.e., number of surviving nephrons, ability to withstand injury, and capacity for repair in determining short- and long-term outcomes is becoming increasingly clear. This review provides an overview of studies to assess donor kidney quality and subsequent transplant outcomes based on clinical pathology and transcriptome-based variables available at time of transplantation. Prediction scores using clinical variables function when applied to large data sets but perform poorly for the individual patient. Histopathology findings in pre-implantation or post-reperfusion biopsies help to assess structural integrity of the donor kidney, provide information on pre-existing donor disease, and can serve as a baseline for tracking changes over time. However, more validated approaches of analysis and prospective studies are needed to reduce the number of discarded organs, improve allocation, and allow prediction of outcomes. Molecular profiling detects changes not seen by morphology or captured by clinical markers. In particular, molecular profiles provide a quantitative measurement of inflammatory burden or immune activation and reflect coordinated changes in pathways associated with injury and repair. However, description of transcriptome patterns is not an end in itself. The identification of predictive gene sets and the application to an individualized patient management needs the integration of clinical and pathology-based variables, as well as more objective reference markers of transplant function, post-transplant events, and long-term outcomes.
供体器官质量的重要性(即,存活肾单位的数量、耐受损伤的能力和修复能力)对于确定短期和长期结果变得越来越重要。这篇综述概述了评估供体肾脏质量以及基于移植时可用的临床病理学和转录组变量的后续移植结果的研究。使用临床变量的预测评分在应用于大型数据集时有效,但对个体患者的效果不佳。移植前或再灌注后活检中的组织病理学发现有助于评估供体肾脏的结构完整性,提供有关供体疾病的信息,并可作为随时间跟踪变化的基线。然而,需要更多经过验证的分析方法和前瞻性研究来减少废弃器官的数量、改善分配,并预测结果。分子谱分析检测到形态学或临床标志物无法捕捉到的变化。特别是,分子谱提供了炎症负担或免疫激活的定量测量,并反映了与损伤和修复相关的途径的协调变化。然而,描述转录组模式本身并不是目的。识别预测基因集并将其应用于个体化患者管理需要整合临床和基于病理学的变量,以及更客观的移植功能、移植后事件和长期结果的参考标志物。