Suzuki Michiko, Ross Gary F, Wiers Kristina, Nelson Shannen, Bennett Michael, Passo Murray H, Devarajan Prasad, Brunner Hermine I
Division of Nephrology and Hypertension, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA.
Pediatr Nephrol. 2007 Dec;22(12):2047-57. doi: 10.1007/s00467-007-0608-x. Epub 2007 Sep 28.
The quest for reliable biomarkers of systemic lupus erythematosus (SLE) nephritis is an area of intense contemporary research. In this study, surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) technology was used for urinary proteomic profiling of patients with SLE nephritis. Clinical, laboratory, and kidney biopsy data from pediatric patients with SLE (n = 32) were analyzed. Children with juvenile idiopathic arthritis (n = 11) served as controls. SELDI-TOF-MS was performed using ProteinChips with different chromatographic surfaces. The resulting spectra were analyzed with Bio-Rad Biomarker Wizard software. A consistent urinary proteomic signature for SLE nephritis was found, comprising eight biomarker proteins with peaks at m/z of 2.7, 22, 23, 44, 56, 79, 100, and 133 kDa. The peak intensities of these biomarkers were significantly greater in patients with SLE nephritis compared with controls and SLE patients without nephritis. These biomarkers were strongly correlated with renal disease activity and moderately with renal damage. For the diagnosis of active nephritis, the area under the receiver operating characteristic curve was > or =0.90 for 22, 23, 44, 79, and 100 kDa biomarkers. Thus, SELDI-TOF-MS has identified a urine proteomic signature strongly associated with SLE renal involvement and active SLE nephritis.
寻找系统性红斑狼疮(SLE)肾炎可靠的生物标志物是当代研究的一个热点领域。在本研究中,表面增强激光解吸/电离飞行时间质谱(SELDI-TOF-MS)技术用于SLE肾炎患者的尿液蛋白质组分析。分析了32例小儿SLE患者的临床、实验室及肾活检数据。11例幼年特发性关节炎患儿作为对照。使用具有不同色谱表面的蛋白质芯片进行SELDI-TOF-MS分析。所得光谱用Bio-Rad Biomarker Wizard软件进行分析。发现了一种与SLE肾炎一致的尿液蛋白质组特征,包括8种生物标志物蛋白,其峰位于m/z为2.7、22、23、44、56、79、100和133 kDa处。与对照组及无肾炎的SLE患者相比,这些生物标志物在SLE肾炎患者中的峰强度显著更高。这些生物标志物与肾脏疾病活动度密切相关,与肾脏损伤中度相关。对于活动性肾炎的诊断,22、23、44、79和100 kDa生物标志物的受试者工作特征曲线下面积≥0.90。因此,SELDI-TOF-MS已鉴定出一种与SLE肾脏受累及活动性SLE肾炎密切相关的尿液蛋白质组特征。