Journal List > Tuberc Respir Dis > v.61(1) > 1001019

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Park, Lee, Son, Sung, Lee, Lee, Ha, and Kim: Difference in Protein Markers According to the Survival of Sepsis Patients using Protein Chips
Original Article
Tuberculosis and Respiratory Diseases

Tuberculosis and Respiratory Diseases 2006; 61(1): 41-45.

Published online: 31 July 2006

DOI: https://doi.org/10.4046/trd.2006.61.1.41

Difference in Protein Markers According to the Survival of Sepsis Patients using Protein Chips

Myoung Ok Park, M.D., Heui Young Lee, M.D., Hee Jung Son, M.D.1, Ji Hyun Sung, M.D.2, Seung Joon Lee, M.D., Sung Joon Lee, M.D., Kwon Soo Ha, M.D.2, Woo Jin Kim, M.D.

Department of Internal Medicine, College of Medicine, Kangwon National University and the Clinical Research Institute of Kangwon National University Hospital, Korea.

1Department of Anesthesia, College of Medicine, Kangwon National University and the Clinical Research Institute of Kangwon National University Hospital, Korea.

2Department of Molecular and Cellular Biochemistry, College of Medicine, Kangwon National University and the Clinical Research Institute of Kangwon National University Hospital, Korea.

Address for correspondence: Woo Jin Kim, M.D. Department of Internal Medicine, Hyoja-3-dong, 17-1, Kangwon National University Hospital, Chunchon, 200-947, Korea. Tel: +82-33-258-2377, Fax: +82-33-258-2455, pulmo2@knuh.or.kr

Received 22 March 2006       Accepted 10 July 2006

Copyright © 2006 The Korean Academy of Tuberculosis and Respiratory Diseases

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.

Keywords: Sepsis, Treatment outcome, Proteomics

Figures and Tables

Figure 1
Log normalized intensity of plasma samples revealed that intensity of m/z value of 4828 were significantly different between circle (mortality group) and rectangle (survivor group)
trd-61-41-g001
Table 1
Characteristics of the subjects
trd-61-41-i001
Table 2
Proteomic biomarkers which showed difference between two groups
trd-61-41-i002

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