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

Overview of attention for article published in Journal of Translational Medicine, July 2007
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Title
Serum proteomic analysis focused on fibrosis in patients with hepatitis C virus infection
Published in
Journal of Translational Medicine, July 2007
DOI 10.1186/1479-5876-5-33
Pubmed ID
Authors

Ian R White, Keyur Patel, William T Symonds, Anouk Dev, Philip Griffin, Nikos Tsokanas, Mark Skehel, Chiang Liu, Amany Zekry, Paul Cutler, Mahanandeeshwar Gattu, Don C Rockey, Michelle M Berrey, John G McHutchison

Abstract

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. 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. Seven individual protein spots were identified as either significantly increased (alpha2-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 alpha2-macroglobulin, are included in existing non-invasive serum marker panels. Biomarkers identified through expression profiling may facilitate the development of more accurate marker algorithms to better quantitate hepatic fibrosis and monitor disease progression.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Brazil 1 5%
Unknown 20 91%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 4 18%
Student > Master 3 14%
Student > Ph. D. Student 3 14%
Professor 2 9%
Researcher 2 9%
Other 5 23%
Unknown 3 14%
Readers by discipline Count As %
Medicine and Dentistry 8 36%
Agricultural and Biological Sciences 5 23%
Biochemistry, Genetics and Molecular Biology 2 9%
Unspecified 1 5%
Engineering 1 5%
Other 0 0%
Unknown 5 23%