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Serum proteomic analysis focused on fibrosis in patients with hepatitis C virus infection

Authors :
Nikos Tsokanas
Mahanandeeshwar Gattu
Amany Zekry
Anouk Dev
M.M. Berrey
Keyur Patel
Ian R. White
John G. McHutchison
Philip Griffin
Mark Skehel
Chiang Liu
Don C. Rockey
Paul Cutler
William T. Symonds
Source :
Journal of Translational Medicine, Vol 5, Iss 1, p 33 (2007), Journal of Translational Medicine
Publication Year :
2007
Publisher :
BMC, 2007.

Abstract

Background Despite its widespread use to assess fibrosis, liver biopsy has several important drawbacks, including that is it semi-quantitative, invasive, and limited by sampling and observer variability. Non-invasive serum biomarkers may more accurately reflect the fibrogenetic process. To identify potential biomarkers of fibrosis, we compared serum protein expression profiles in patients with chronic hepatitis C (CHC) virus infection and fibrosis. Methods Twenty-one patients with no or mild fibrosis (METAVIR stage F0, F1) and 23 with advanced fibrosis (F3, F4) were retrospectively identified from a pedigreed database of 1600 CHC patients. All samples were carefully phenotyped and matched for age, gender, race, body mass index, genotype, duration of infection, alcohol use, and viral load. Expression profiling was performed in a blinded fashion using a 2D polyacrylamide gel electrophoresis/LC-MS/MS platform. Partial least squares discriminant analysis and likelihood ratio statistics were used to rank individual differences in protein expression between the 2 groups. Results Seven individual protein spots were identified as either significantly increased (α2-macroglobulin, haptoglobin, albumin) or decreased (complement C-4, serum retinol binding protein, apolipoprotein A-1, and two isoforms of apolipoprotein A-IV) with advanced fibrosis. Three individual proteins, haptoglobin, apolipoprotein A-1, and α2-macroglobulin, are included in existing non-invasive serum marker panels. Conclusion Biomarkers identified through expression profiling may facilitate the development of more accurate marker algorithms to better quantitate hepatic fibrosis and monitor disease progression.

Details

Language :
English
ISSN :
14795876
Volume :
5
Issue :
1
Database :
OpenAIRE
Journal :
Journal of Translational Medicine
Accession number :
edsair.doi.dedup.....e893da49e137d241d59a3392b54af1ae