Prediction of acute coronary syndromes by urinary proteome analysis.
作者: Nay M HtunDianna J MaglianoZhen-Yu ZhangJasmine LyonsThibault PetitEsther Nkuipou-KenfackAdela Ramirez-TorresConstantin von Zur MuhlenDavid MaahsJoost P SchanstraClaudia PontilloMartin PejchinovskiJanet K Snell-BergeonChristian DellesHarald MischakJan A StaessenJonathan E ShawThomas KoeckKarlheinz Peter
刊名: PLoS ONE, 2018, Vol.12 (3)
来源数据库: Directory of Open Access Journals
DOI: 10.1371/journal.pone.0172036
原始语种摘要: Identification of individuals who are at risk of suffering from acute coronary syndromes (ACS) may allow to introduce preventative measures. We aimed to identify ACS-related urinary peptides, that combined as a pattern can be used as prognostic biomarker. Proteomic data of 252 individuals enrolled in four prospective studies from Australia, Europe and North America were analyzed. 126 of these had suffered from ACS within a period of up to 5 years post urine sampling (cases). Proteomic analysis of 84 cases and 84 matched controls resulted in the discovery of 75 ACS-related urinary peptides. Combining these to a peptide pattern, we established a prognostic biomarker named Acute Coronary Syndrome Predictor 75 (ACSP75). ACSP75 demonstrated reasonable prognostic discrimination (c-statistic =...
全文获取路径: DOAJ  (合作)
影响因子:3.73 (2012)

  • urinary 尿的
  • coronary 冠状的
  • prognostic 预测的
  • biomarker 生物标志化合物
  • ACS Accounting Control System
  • acute 急尖的
  • combined 组合
  • matched 匹配的
  • analysis 分析
  • statistic 统计量