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Proteomic fingerprinting in HIV/HCV co-infection reveals serum biomarkers for the diagnosis of fibrosis staging

BACKGROUND: Hepatic complications of hepatitis C virus (HCV), including fibrosis and cirrhosis are accelerated in human immunodeficiency virus (HIV)-infected individuals. Although, liver biopsy remains the gold standard for staging HCV-associated liver disease, this test can result in serious compli...

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Autores principales: Golizeh, Makan, Melendez-Pena, Carlos E., Ward, Brian J., Saeed, Sahar, Santamaria, Cynthia, Conway, Brian, Cooper, Curtis, Klein, Marina B., Ndao, Momar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5880398/
https://www.ncbi.nlm.nih.gov/pubmed/29608613
http://dx.doi.org/10.1371/journal.pone.0195148
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author Golizeh, Makan
Melendez-Pena, Carlos E.
Ward, Brian J.
Saeed, Sahar
Santamaria, Cynthia
Conway, Brian
Cooper, Curtis
Klein, Marina B.
Ndao, Momar
author_facet Golizeh, Makan
Melendez-Pena, Carlos E.
Ward, Brian J.
Saeed, Sahar
Santamaria, Cynthia
Conway, Brian
Cooper, Curtis
Klein, Marina B.
Ndao, Momar
author_sort Golizeh, Makan
collection PubMed
description BACKGROUND: Hepatic complications of hepatitis C virus (HCV), including fibrosis and cirrhosis are accelerated in human immunodeficiency virus (HIV)-infected individuals. Although, liver biopsy remains the gold standard for staging HCV-associated liver disease, this test can result in serious complications and is subject to sampling errors. These challenges have prompted a search for non-invasive methods for liver fibrosis staging. To this end, we compared serum proteome profiles at different stages of fibrosis in HIV/HCV co- and HCV mono-infected patients using surface-enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI-TOF MS). METHODS: Sera from 83 HIV/HCV co- and 68 HCV mono-infected subjects in 4 stages of fibrosis were tested. Sera were fractionated, randomly applied to protein chip arrays (IMAC, CM10 and H50) and spectra were generated at low and high laser intensities. RESULTS: Sixteen biomarkers achieved a p value < 0.01 (ROC values > 0.75 or < 0.25) predictive of fibrosis status in co-infected individuals and 14 in mono infected subjects. Five of these candidate biomarkers contributed to both mono- and co-infected subjects. Candidate diagnostic algorithms were created to distinguish between non-fibrotic and fibrotic individuals using a panel of 4 biomarker peaks. CONCLUSION: These data suggest that SELDI MS profiling can identify diagnostic serum biomarkers for fibrosis that are both common and distinct in HIV/HCV co-infected and HCV mono-infected individuals.
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spelling pubmed-58803982018-04-13 Proteomic fingerprinting in HIV/HCV co-infection reveals serum biomarkers for the diagnosis of fibrosis staging Golizeh, Makan Melendez-Pena, Carlos E. Ward, Brian J. Saeed, Sahar Santamaria, Cynthia Conway, Brian Cooper, Curtis Klein, Marina B. Ndao, Momar PLoS One Research Article BACKGROUND: Hepatic complications of hepatitis C virus (HCV), including fibrosis and cirrhosis are accelerated in human immunodeficiency virus (HIV)-infected individuals. Although, liver biopsy remains the gold standard for staging HCV-associated liver disease, this test can result in serious complications and is subject to sampling errors. These challenges have prompted a search for non-invasive methods for liver fibrosis staging. To this end, we compared serum proteome profiles at different stages of fibrosis in HIV/HCV co- and HCV mono-infected patients using surface-enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI-TOF MS). METHODS: Sera from 83 HIV/HCV co- and 68 HCV mono-infected subjects in 4 stages of fibrosis were tested. Sera were fractionated, randomly applied to protein chip arrays (IMAC, CM10 and H50) and spectra were generated at low and high laser intensities. RESULTS: Sixteen biomarkers achieved a p value < 0.01 (ROC values > 0.75 or < 0.25) predictive of fibrosis status in co-infected individuals and 14 in mono infected subjects. Five of these candidate biomarkers contributed to both mono- and co-infected subjects. Candidate diagnostic algorithms were created to distinguish between non-fibrotic and fibrotic individuals using a panel of 4 biomarker peaks. CONCLUSION: These data suggest that SELDI MS profiling can identify diagnostic serum biomarkers for fibrosis that are both common and distinct in HIV/HCV co-infected and HCV mono-infected individuals. Public Library of Science 2018-04-02 /pmc/articles/PMC5880398/ /pubmed/29608613 http://dx.doi.org/10.1371/journal.pone.0195148 Text en © 2018 Golizeh et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Golizeh, Makan
Melendez-Pena, Carlos E.
Ward, Brian J.
Saeed, Sahar
Santamaria, Cynthia
Conway, Brian
Cooper, Curtis
Klein, Marina B.
Ndao, Momar
Proteomic fingerprinting in HIV/HCV co-infection reveals serum biomarkers for the diagnosis of fibrosis staging
title Proteomic fingerprinting in HIV/HCV co-infection reveals serum biomarkers for the diagnosis of fibrosis staging
title_full Proteomic fingerprinting in HIV/HCV co-infection reveals serum biomarkers for the diagnosis of fibrosis staging
title_fullStr Proteomic fingerprinting in HIV/HCV co-infection reveals serum biomarkers for the diagnosis of fibrosis staging
title_full_unstemmed Proteomic fingerprinting in HIV/HCV co-infection reveals serum biomarkers for the diagnosis of fibrosis staging
title_short Proteomic fingerprinting in HIV/HCV co-infection reveals serum biomarkers for the diagnosis of fibrosis staging
title_sort proteomic fingerprinting in hiv/hcv co-infection reveals serum biomarkers for the diagnosis of fibrosis staging
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5880398/
https://www.ncbi.nlm.nih.gov/pubmed/29608613
http://dx.doi.org/10.1371/journal.pone.0195148
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