- Author:
Myoung Ok PARK
1
;
Heui Young LEE
;
Hee Jung SON
;
Ji Hyun SUNG
;
Seung Joon LEE
;
Sung Joon LEE
;
Kwon Soo HA
;
Woo Jin KIM
Author Information
- Publication Type:Original Article
- Keywords: Sepsis; Treatment outcome; Proteomics
- MeSH: Biomarkers; Humans; Mass Spectrometry; Prognosis; Protein Array Analysis*; Proteomics; Sepsis*; Treatment Outcome
- From:Tuberculosis and Respiratory Diseases 2006;61(1):41-45
- CountryRepublic of Korea
- Language:Korean
- Abstract: BACKGROUND: Several clinical scoring systems are currently being used to predict the outcome of sepsis, but they all have certain limitations. Therefore, we sought to identify the proteomic biomarkers, with wsing proteomic tools, that differed according to the outcome of sepsis patients. METHODS: Upon admission to the ICU, blood samples were obtained from the 16 patients with sepsis who were enrolled in this study. Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS) was used to identify the markers that could predict the outcome of sepsis. RESULTS: We found six peaks, by using cation and anion chips, that statistically differed between those patients who died and those who survived. CONCLUSION: The biomarkers we found by using proteomic tools may help predict the prognosis and also plan the treatment of sepsis.