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Novel biomarkers predict liver fibrosis in hepatitis C patients: alpha 2 macroglobulin, vitamin D binding protein and apolipoprotein AI

BACKGROUND: The gold standard of assessing liver fibrosis is liver biopsy, which is invasive and not without risk. Therefore, searching for noninvasive serologic biomarkers for liver fibrosis is an importantly clinical issue. METHODS: A total of 16 healthy volunteers and 45 patients with chronic hep...

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Autores principales: Ho, Ai-Sheng, Cheng, Chun-Chia, Lee, Shui-Cheng, Liu, Meng-Lun, Lee, Jing-Ying, Wang, Wen-Ming, Wang, Chia-Chi
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2914022/
https://www.ncbi.nlm.nih.gov/pubmed/20630109
http://dx.doi.org/10.1186/1423-0127-17-58
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author Ho, Ai-Sheng
Cheng, Chun-Chia
Lee, Shui-Cheng
Liu, Meng-Lun
Lee, Jing-Ying
Wang, Wen-Ming
Wang, Chia-Chi
author_facet Ho, Ai-Sheng
Cheng, Chun-Chia
Lee, Shui-Cheng
Liu, Meng-Lun
Lee, Jing-Ying
Wang, Wen-Ming
Wang, Chia-Chi
author_sort Ho, Ai-Sheng
collection PubMed
description BACKGROUND: The gold standard of assessing liver fibrosis is liver biopsy, which is invasive and not without risk. Therefore, searching for noninvasive serologic biomarkers for liver fibrosis is an importantly clinical issue. METHODS: A total of 16 healthy volunteers and 45 patients with chronic hepatitis C virus (HCV) were enrolled (F0: n = 16, F1: n = 7, F2: n = 17, F3: n = 8 and F4: n = 13, according to the METAVIR classification). Three serum samples of each fibrotic stage were analyzed by two-dimension difference gel electrophoresis (2D-DIGE). The differential proteins were identified by the cooperation of MALDI-TOF/TOF and MASCOT; then western blotting and Bio-Plex Suspension Array were used to quantify the protein levels. RESULTS: Three prominent candidate biomarkers were identified: alpha 2 macroglobulin (A2M) is up regulated; vitamin D binding protein (VDBP) and apolipoprotein AI (ApoAI) are down regulated. The serum concentration of A2M was significantly different among normal, mild (F1/F2) and advanced fibrosis (F3/F4) (p < 0.01). The protein levels of VDBP and ApoAI were significantly higher in normal/mild fibrosis, when compared to those in advanced fibrosis (both p < 0.01). CONCLUSIONS: This study not only reveals three putative biomarkers of liver fibrosis (A2M, VDBP and ApoAI) but also proves the differential expressions of those markers in different stages of fibrosis. We expect that combination of these novel biomarkers could be applied clinically to predict the stage of liver fibrosis without the need of liver biopsy.
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spelling pubmed-29140222010-08-03 Novel biomarkers predict liver fibrosis in hepatitis C patients: alpha 2 macroglobulin, vitamin D binding protein and apolipoprotein AI Ho, Ai-Sheng Cheng, Chun-Chia Lee, Shui-Cheng Liu, Meng-Lun Lee, Jing-Ying Wang, Wen-Ming Wang, Chia-Chi J Biomed Sci Research BACKGROUND: The gold standard of assessing liver fibrosis is liver biopsy, which is invasive and not without risk. Therefore, searching for noninvasive serologic biomarkers for liver fibrosis is an importantly clinical issue. METHODS: A total of 16 healthy volunteers and 45 patients with chronic hepatitis C virus (HCV) were enrolled (F0: n = 16, F1: n = 7, F2: n = 17, F3: n = 8 and F4: n = 13, according to the METAVIR classification). Three serum samples of each fibrotic stage were analyzed by two-dimension difference gel electrophoresis (2D-DIGE). The differential proteins were identified by the cooperation of MALDI-TOF/TOF and MASCOT; then western blotting and Bio-Plex Suspension Array were used to quantify the protein levels. RESULTS: Three prominent candidate biomarkers were identified: alpha 2 macroglobulin (A2M) is up regulated; vitamin D binding protein (VDBP) and apolipoprotein AI (ApoAI) are down regulated. The serum concentration of A2M was significantly different among normal, mild (F1/F2) and advanced fibrosis (F3/F4) (p < 0.01). The protein levels of VDBP and ApoAI were significantly higher in normal/mild fibrosis, when compared to those in advanced fibrosis (both p < 0.01). CONCLUSIONS: This study not only reveals three putative biomarkers of liver fibrosis (A2M, VDBP and ApoAI) but also proves the differential expressions of those markers in different stages of fibrosis. We expect that combination of these novel biomarkers could be applied clinically to predict the stage of liver fibrosis without the need of liver biopsy. BioMed Central 2010-07-15 /pmc/articles/PMC2914022/ /pubmed/20630109 http://dx.doi.org/10.1186/1423-0127-17-58 Text en Copyright ©2010 Ho 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
Ho, Ai-Sheng
Cheng, Chun-Chia
Lee, Shui-Cheng
Liu, Meng-Lun
Lee, Jing-Ying
Wang, Wen-Ming
Wang, Chia-Chi
Novel biomarkers predict liver fibrosis in hepatitis C patients: alpha 2 macroglobulin, vitamin D binding protein and apolipoprotein AI
title Novel biomarkers predict liver fibrosis in hepatitis C patients: alpha 2 macroglobulin, vitamin D binding protein and apolipoprotein AI
title_full Novel biomarkers predict liver fibrosis in hepatitis C patients: alpha 2 macroglobulin, vitamin D binding protein and apolipoprotein AI
title_fullStr Novel biomarkers predict liver fibrosis in hepatitis C patients: alpha 2 macroglobulin, vitamin D binding protein and apolipoprotein AI
title_full_unstemmed Novel biomarkers predict liver fibrosis in hepatitis C patients: alpha 2 macroglobulin, vitamin D binding protein and apolipoprotein AI
title_short Novel biomarkers predict liver fibrosis in hepatitis C patients: alpha 2 macroglobulin, vitamin D binding protein and apolipoprotein AI
title_sort novel biomarkers predict liver fibrosis in hepatitis c patients: alpha 2 macroglobulin, vitamin d binding protein and apolipoprotein ai
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2914022/
https://www.ncbi.nlm.nih.gov/pubmed/20630109
http://dx.doi.org/10.1186/1423-0127-17-58
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