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Identification of potential biomarkers by serum proteomics analysis in rats with sepsis.

Authors: Jiao, J  Gao, M  Zhang, H  Wang, N  Xiao, Z  Liu, K  Yang, M  Wang, K  Xiao, X 
Citation: Jiao J, etal., Shock. 2014 Jul;42(1):75-81. doi: 10.1097/SHK.0000000000000173.
Pubmed: (View Article at PubMed) PMID:24667622
DOI: Full-text: DOI:10.1097/SHK.0000000000000173

This study was aimed to find new biomarkers for diagnosis and prediction of prognosis of sepsis. Serum samples from nonsurvivor, survivor, and control groups were obtained at 12 h after the induction of sepsis and labeled with isobaric tags (iTRAQ) and then analyzed by two-dimensional liquid chromatography and tandem mass spectrometry. Protein identification and quantification were obtained using mass spectrometry and the ProteinPilot software. Bioinformatics annotation was performed by searching against the PANTHER database. Enzyme-linked immunosorbent assays were used to further confirm the protein identification and differential expression. A logistic regression was then used to screen the index set for diagnosis and prognosis of sepsis. We found that 47 proteins were preferentially elevated in septic rats (both nonsurvivors and survivors) compared with the control rats, and 28 proteins were preferentially elevated in the NS rats as compared with the S group. Several biomarkers, such as multimerin 1, ficolin 1, carboxypeptidase N (CPN2), serine protease 1, and platelet factor 4, were tightly correlated with the diagnosis of sepsis. Logistic regression analyses established multimerin 1, pro-platelet basic protein, fibrinogen-alpha, and fibrinogen-beta for prognosis of sepsis.

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RGD Object Information
RGD ID: 9685020
Created: 2014-12-15
Species: All species
Last Modified: 2014-12-15
Status: ACTIVE



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RGD is funded by grant HL64541 from the National Heart, Lung, and Blood Institute on behalf of the NIH.