|
Identification of potential biomarkers
by serum proteomics analysis in rats with sepsis
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-α, and fibrinogen-β for prognosis of sepsis.
Jiao J et al, Shock. 2014 Jul;42(1):75-81.
|
