Early prediction of acute renal injury using urinary proteomics.

@article{Nguyen2005EarlyPO,
  title={Early prediction of acute renal injury using urinary proteomics.},
  author={Mai Thi Hoang Nguyen and Gary F. Ross and Catherine Dent and Prasad Devarajan},
  journal={American journal of nephrology},
  year={2005},
  volume={25 4},
  pages={318-26}
}
AIMS The lack of early biomarkers for acute renal failure (ARF) has crippled our ability to launch potentially effective therapeutic measures. We tested the hypothesis that urinary proteomics could identify novel early biomarker patterns for ischemic renal injury. METHODS Sixty patients undergoing cardiopulmonary bypass (CPB) were enrolled. Urine samples obtained at 2 and 6 h post CPB were analyzed by Surface-Enhanced Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (SELDI-TOF-MS… CONTINUE READING

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