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应用基于磁珠的样本分离和 MALDI-TOF MS 对血清中肾移植排斥进行蛋白质组学分析。

Proteomic profiling of renal allograft rejection in serum using magnetic bead-based sample fractionation and MALDI-TOF MS.

机构信息

First Kidney Transplantation and Hemopurification Center of Chinese PLA, 181st Hospital of Guangzhou Military Area of PLA, 541002, Guilin, Guangxi Province, People's Republic of China.

出版信息

Clin Exp Med. 2010 Dec;10(4):259-68. doi: 10.1007/s10238-010-0094-5. Epub 2010 Apr 8.

Abstract

Proteomics is one of the emerging techniques for biomarker discovery. Biomarkers can be used for early noninvasive diagnosis and prognosis of diseases and treatment efficacy evaluation. In the present study, the well-established research systems of ClinProt Micro solution incorporated unique magnetic bead sample preparation technology, which, based on matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS), have become very successful in bioinformatics due to its outstanding performance and reproducibility for discovery disease-related biomarker. We collected fasting blood samples from patients with biopsy-confirmed acute renal allograft rejection (n = 12), chronic rejection (n = 12), stable graft function (n = 12) and also from healthy volunteers (n = 13) to study serum peptidome patterns. Specimens were purified with magnetic bead-based weak cation exchange chromatography and analyzed with a MALDI-TOF mass spectrometer. The results indicated that 18 differential peptide peaks were selected as potential biomarkers of acute renal allograft rejection, and 6 differential peptide peaks were selected as potential biomarkers of chronic rejection. A Quick Classifier Algorithm was used to set up the classification models for acute and chronic renal allograft rejection. The algorithm models recognize 82.64% of acute rejection and 98.96% of chronic rejection episodes, respectively. We were able to identify serum protein fingerprints in small sample sizes of recipients with renal allograft rejection and establish the models for diagnosis of renal allograft rejection. This preliminary study demonstrated that proteomics is an emerging tool for early diagnosis of renal allograft rejection and helps us to better understand the pathogenesis of disease process.

摘要

蛋白质组学是一种新兴的生物标志物发现技术。生物标志物可用于疾病的早期无创诊断和预后以及治疗效果评估。在本研究中,ClinProt Micro 解决方案中建立的成熟研究系统结合了独特的磁珠样品制备技术,基于基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS),由于其出色的性能和发现疾病相关生物标志物的重现性,在生物信息学中已非常成功。我们收集了经活检证实的急性肾移植排斥反应(n = 12)、慢性排斥反应(n = 12)、稳定移植物功能(n = 12)患者以及健康志愿者(n = 13)的空腹血样,以研究血清肽组图谱。使用基于磁珠的弱阳离子交换色谱法对标本进行纯化,并使用 MALDI-TOF 质谱仪进行分析。结果表明,选择了 18 个差异肽峰作为急性肾移植排斥的潜在生物标志物,选择了 6 个差异肽峰作为慢性排斥的潜在生物标志物。Quick Classifier Algorithm 用于建立急性和慢性肾移植排斥的分类模型。该算法模型分别识别出 82.64%的急性排斥反应和 98.96%的慢性排斥反应。我们能够在肾移植排斥反应受者的小样本量中识别血清蛋白质指纹图谱,并建立肾移植排斥的诊断模型。这项初步研究表明蛋白质组学是一种新兴的肾移植排斥早期诊断工具,可以帮助我们更好地了解疾病进程的发病机制。

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