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蛋白质组学模式可预测异基因造血干细胞移植后的急性移植物抗宿主病。

Proteomic patterns predict acute graft-versus-host disease after allogeneic hematopoietic stem cell transplantation.

作者信息

Weissinger Eva M, Schiffer Eric, Hertenstein Bernd, Ferrara James L, Holler Ernst, Stadler Michael, Kolb Hans-Jochem, Zander Axel, Zürbig Petra, Kellmann Markus, Ganser Arnold

机构信息

Hannover Medical School, Department of Hematology, Hemostasis, and Oncology, Hannover, Germany.

出版信息

Blood. 2007 Jun 15;109(12):5511-9. doi: 10.1182/blood-2007-01-069757. Epub 2007 Mar 5.

Abstract

Acute graft-versus-host disease (aGvHD) contributes significantly to morbidity and mortality after allogeneic hematopoietic stem cell transplantation (allo-HSCT). Diagnosis of GvHD is mainly based on clinical features and tissue biopsies. A noninvasive, unbiased laboratory test for GvHD diagnosis does not exist. Here we describe the application of capillary electrophoresis coupled online with mass spectrometry (CE-MS) to 13 samples from 10 patients with aGvHD of grade II or more and 50 control samples from 23 patients without GvHD. About 170 GvHD-specific polypeptides were detected and a tentatively aGvHD-specific model consisting of 31 polypeptides was chosen, allowing correct classification of 13 of 13 (sensitivity 100.0% [95% confidence interval {CI} 75.1 to 100.0]) aGvHD samples and 49 of 50 (specificity 98.0% [95% CI 89.3 to 99.7]) control samples of the training set. The subsequent blinded evaluation of 599 samples enabled diagnosis of aGvHD greater than grade II, even prior to clinical diagnosis, with a sensitivity of 83.1% (95% CI 73.1 to 87.9) and a specificity of 75.6% (95% CI 71.6 to 79.4). Thus, high-resolution proteome analysis represents an unbiased laboratory-based screening method, enabling diagnosis, and possibly enabling preemptive therapy.

摘要

急性移植物抗宿主病(aGvHD)是异基因造血干细胞移植(allo-HSCT)后导致发病和死亡的重要原因。移植物抗宿主病的诊断主要基于临床特征和组织活检。目前尚无用于移植物抗宿主病诊断的无创、无偏倚的实验室检测方法。在此,我们描述了毛细管电泳与质谱联用(CE-MS)技术在10例II级及以上aGvHD患者的13份样本和23例无移植物抗宿主病患者的50份对照样本中的应用。检测到约170种移植物抗宿主病特异性多肽,并选择了一个由31种多肽组成的初步aGvHD特异性模型,该模型能够正确分类训练集中13份aGvHD样本中的13份(敏感性100.0%[95%置信区间{CI}75.1至100.0])和50份对照样本中的49份(特异性98.0%[95%CI 89.3至99.7])。随后对599份样本进行的盲法评估能够在临床诊断之前诊断出II级以上的aGvHD,敏感性为83.1%(95%CI 73.1至87.9),特异性为75.6%(95%CI 71.6至79.4)。因此,高分辨率蛋白质组分析代表了一种基于实验室的无偏倚筛查方法,能够实现诊断,并可能实现抢先治疗。

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