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从不同种族的肾移植人群中发现和验证外周血和肾活检的基因表达特征。

Discovery and cross-validation of peripheral blood and renal biopsy gene expression signatures from ethnically diverse kidney transplant populations.

机构信息

Renal Transplant Service, Hospital das Clinicas-University of Sao Paulo School of Medicine, Sao Paulo, Brazil.

University of California, San Diego, School of Medicine, Center for Computational Biology and Bioinformatics, La Jolla, California.

出版信息

Am J Transplant. 2019 Dec;19(12):3356-3366. doi: 10.1111/ajt.15482. Epub 2019 Jul 8.

Abstract

We determined peripheral blood (PB) and biopsy (Bx) RNA expression signatures in a Brazilian and US cohort of kidney transplant patients. Phenotypes assigned by precise histology were: acute rejection (AR), interstitial fibrosis/tubular atrophy/chronic rejection (CR), excellent functioning transplants (TX), and glomerulonephritis recurrence (GN). Samples were analyzed on microarrays and profiles from each cohort were cross-validated on the other cohort with similar phenotypes. We discovered signatures for each tissue: (1) AR vs TX, (2) CR vs TX, and (3) GN vs TX using the Random Forests algorithm. We validated biopsies signatures of AR vs TX (area under the curve [AUC] 0.97) and CR vs TX (AUC 0.87). We also validated both PB and Bx signatures of AR vs TX and CR vs TX with varying degrees of accuracy. Several biological pathways were shared between AR and CR, suggesting similar rejection mechanisms in these 2 clinical phenotypes. Thus, we identified gene expression signatures for AR and CR in transplant patients and validated them in independent cohorts of significantly different racial/ethnic backgrounds. These results reveal that there are strong unifying immune mechanisms driving transplant diseases and identified in the signatures discovered in each cohort, suggesting that molecular diagnostics across populations are feasible despite ethnic and environmental differences.

摘要

我们在巴西和美国的肾移植患者队列中确定了外周血(PB)和活检(Bx)RNA 表达特征。通过精确的组织学分配的表型为:急性排斥反应(AR)、间质纤维化/肾小管萎缩/慢性排斥反应(CR)、功能良好的移植(TX)和肾小球肾炎复发(GN)。对样本进行了微阵列分析,并使用随机森林算法对两个队列中的相似表型的每个队列的特征进行了交叉验证。我们发现了每种组织的特征:(1)AR 与 TX,(2)CR 与 TX,和(3)GN 与 TX。我们验证了 AR 与 TX(曲线下面积 [AUC] 0.97)和 CR 与 TX(AUC 0.87)的活检特征。我们还验证了 AR 与 TX 和 CR 与 TX 的 PB 和 Bx 特征的准确性不同。AR 和 CR 之间存在一些共享的生物学途径,这表明这两种临床表型存在相似的排斥机制。因此,我们在移植患者中确定了 AR 和 CR 的基因表达特征,并在具有明显不同种族/民族背景的独立队列中进行了验证。这些结果表明,存在强大的统一免疫机制驱动移植疾病,并在每个队列中发现的特征中得到证实,这表明尽管存在种族和环境差异,但在不同人群中进行分子诊断是可行的。

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