中国血液净化

›› 2011, Vol. 10 ›› Issue (02): 87-90.doi: 10.3969/j.issn.1671-4091.2011..00

• 基础研究 • 上一篇    下一篇

尿毒症患者血清肽谱的差异性研究

陈洁晶 张 岳 眭维国 莫秋菊 刘华英 戴 勇   

  1. 广西桂林第181医院中心实验室，广西代谢性疾病研究重点实验室;广西师范大学生命科学学院
  • 收稿日期:2010-03-24 修回日期:1900-01-01 出版日期:2011-02-12 发布日期:2011-02-12
  • 通讯作者: 戴勇

Variations of serum peptide spectrum in uremic patients

CHEN Jie-jing, ZHANG Yue, SUI Wei-guo, MO Qiu-ju, LIU Hua-ying, DAI Yong   

  1. 1Department of Nephrology, The 181th Hospital of Chinese People’s Liberation Army, Guilin 541002, China; 2College of Life Science, Guangxi Normal University, Guilin 541004, China
  • Received:2010-03-24 Revised:1900-01-01 Online:2011-02-12 Published:2011-02-12

RichHTML

0

PDF

207

摘要： 目的 比较尿毒症患者与正常人的血清肽谱，寻找差异表达的血清肽谱。 方法 将研究对象分成试验组和对照组。试验组为30例尿毒症患者，包括10例未透析患者、10例腹膜透析患者和10例血液透析患者；对照组为13例健康志愿者。采用ClinProt磁珠浓缩和基质辅助激光解吸电离法分析两组研究对象血清肽谱的差异。 结果 与对照组相比，未透析组、腹膜透析组、血液透析组分别筛选出7个、7个、9个显著表达的差异性多肽；比较未透析组与腹膜透析组、未透析组与血液透析组、腹膜透析组与血液透析组，分别筛选出2个、5个、1个显著表达的差异性多肽。采用遗传算法对样本进行分类并建立诊断预测模型，对区分未透析组、腹膜透析组、血液透析组与对照组的交叉验证能力分别为99.30%、95.12%和98.61%，而识别率均为100%；对区分未透析组与腹膜透析组、未透析组与血液透析组、腹膜透析组与血液透析组的交叉验证能力分别为95.00%、90.59%和79.72%，识别率分别为96.88%、100%和100%。 结论 应用蛋白组学建立了尿毒症患者的血清肽谱模型，为人们更好地了解尿毒症的发病机制提供了新的思路。

关键词: 尿毒症, 血清肽谱, ClinProt技术平台, 蛋白质组

Abstract: Objective To compare the serum petidome spectrum between uremic patients and normal controls, and to search for their variability. Methods The serum peptide profiling was determined in 10 uremic patients without dialysis, 10 uremic patients on peritoneal dialysis, 10 uremic patients on hemodialysis, and 12 healthy volunteers by the ClinProt magnetic bead enrichment and matrix assisted laser desorption ionisation time-of-flight mass spectrometry (MALDI-TOF MS). Results Comparing to the data of normal controls, we screened out 7, 7 and 9 significantly expressed polypeptides in patients without dialysis, on peritoneal dialysis and on hemodialysis, respectively. t test was used for group comparisons, and the statistical significance was set at P＜0.05. Conclusions Our study established the serum petidome spectra for uremia by proteomic technology, and provided a new viewpoint to better understand the pathogenesis of uremia.

Key words: Serum peptide, ClinPro Tools, Proteomics