Stanford Institute for Immunity, Transplantation and Infection and.
Division of Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, California, USA.
JCI Insight. 2018 Jan 25;3(2). doi: 10.1172/jci.insight.95659.
Late allograft failure is characterized by cumulative subclinical insults manifesting over many years. Although immunomodulatory therapies targeting host T cells have improved short-term survival rates, rates of chronic allograft loss remain high. We hypothesized that other immune cell types may drive subclinical injury, ultimately leading to graft failure. We collected whole-genome transcriptome profiles from 15 independent cohorts composed of 1,697 biopsy samples to assess the association of an inflammatory macrophage polarization-specific gene signature with subclinical injury. We applied penalized regression to a subset of the data sets and identified a 3-gene inflammatory macrophage-derived signature. We validated discriminatory power of the 3-gene signature in 3 independent renal transplant data sets with mean AUC of 0.91. In a longitudinal cohort, the 3-gene signature strongly correlated with extent of injury and accurately predicted progression of subclinical injury 18 months before clinical manifestation. The 3-gene signature also stratified patients at high risk of graft failure as soon as 15 days after biopsy. We found that the 3-gene signature also distinguished acute rejection (AR) accurately in 3 heart transplant data sets but not in lung transplant. Overall, we identified a parsimonious signature capable of diagnosing AR, recognizing subclinical injury, and risk-stratifying renal transplant patients. Our results strongly suggest that inflammatory macrophages may be a viable therapeutic target to improve long-term outcomes for organ transplantation patients.
同种异体移植物晚期失功的特点是多年来累积的亚临床损伤。虽然针对宿主 T 细胞的免疫调节治疗提高了短期生存率,但慢性移植物丢失率仍然很高。我们假设其他免疫细胞类型可能会导致亚临床损伤,最终导致移植物失功。我们从 15 个独立队列(由 1697 个活检样本组成)中收集了全基因组转录组谱,以评估炎症性巨噬细胞极化特异性基因特征与亚临床损伤的相关性。我们应用惩罚回归对部分数据集进行分析,并确定了一个由 3 个基因组成的炎症性巨噬细胞衍生的特征。我们在 3 个独立的肾移植数据集验证了 3 基因特征的判别能力,平均 AUC 为 0.91。在一个纵向队列中,该 3 基因特征与损伤程度强烈相关,并能在临床症状出现前 18 个月准确预测亚临床损伤的进展。该 3 基因特征还能在活检后 15 天就对高移植失败风险的患者进行分层。我们发现,该 3 基因特征在 3 个心脏移植数据集也能准确区分急性排斥反应(AR),但在肺移植中则不行。总体而言,我们确定了一个简洁的特征,能够诊断 AR、识别亚临床损伤并对肾移植患者进行风险分层。我们的研究结果强烈表明,炎症性巨噬细胞可能是提高器官移植患者长期预后的一个可行的治疗靶点。