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Serum proteomic analysis focused on fibrosis in patients with hepatitis C virus infection
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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1971245/ https://www.ncbi.nlm.nih.gov/pubmed/17625010 http://dx.doi.org/10.1186/1479-5876-5-33 |
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author | White, Ian R Patel, Keyur Symonds, William T Dev, Anouk Griffin, Philip Tsokanas, Nikos Skehel, Mark Liu, Chiang Zekry, Amany Cutler, Paul Gattu, Mahanandeeshwar Rockey, Don C Berrey, Michelle M McHutchison, John G |
author_facet | White, Ian R Patel, Keyur Symonds, William T Dev, Anouk Griffin, Philip Tsokanas, Nikos Skehel, Mark Liu, Chiang Zekry, Amany Cutler, Paul Gattu, Mahanandeeshwar Rockey, Don C Berrey, Michelle M McHutchison, John G |
author_sort | White, Ian R |
collection | PubMed |
description | 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 (α(2)-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 α(2)-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. |
format | Text |
id | pubmed-1971245 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-19712452007-09-08 Serum proteomic analysis focused on fibrosis in patients with hepatitis C virus infection White, Ian R Patel, Keyur Symonds, William T Dev, Anouk Griffin, Philip Tsokanas, Nikos Skehel, Mark Liu, Chiang Zekry, Amany Cutler, Paul Gattu, Mahanandeeshwar Rockey, Don C Berrey, Michelle M McHutchison, John G J Transl Med Research 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 (α(2)-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 α(2)-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. BioMed Central 2007-07-11 /pmc/articles/PMC1971245/ /pubmed/17625010 http://dx.doi.org/10.1186/1479-5876-5-33 Text en Copyright © 2007 White et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research White, Ian R Patel, Keyur Symonds, William T Dev, Anouk Griffin, Philip Tsokanas, Nikos Skehel, Mark Liu, Chiang Zekry, Amany Cutler, Paul Gattu, Mahanandeeshwar Rockey, Don C Berrey, Michelle M McHutchison, John G Serum proteomic analysis focused on fibrosis in patients with hepatitis C virus infection |
title | Serum proteomic analysis focused on fibrosis in patients with hepatitis C virus infection |
title_full | Serum proteomic analysis focused on fibrosis in patients with hepatitis C virus infection |
title_fullStr | Serum proteomic analysis focused on fibrosis in patients with hepatitis C virus infection |
title_full_unstemmed | Serum proteomic analysis focused on fibrosis in patients with hepatitis C virus infection |
title_short | Serum proteomic analysis focused on fibrosis in patients with hepatitis C virus infection |
title_sort | serum proteomic analysis focused on fibrosis in patients with hepatitis c virus infection |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1971245/ https://www.ncbi.nlm.nih.gov/pubmed/17625010 http://dx.doi.org/10.1186/1479-5876-5-33 |
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