Antibody Repertoire Analysis of Hepatitis C Virus Infections Identifies Immune Signatures Associated With Spontaneous Clearance

Hepatitis C virus (HCV) is a major public health concern, with over 70 million people infected worldwide, who are at risk for developing life-threatening liver disease. No vaccine is available, and immunity against the virus is not well-understood. Following the acute stage, HCV usually causes chron...

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Main Authors: Sivan Eliyahu, Oz Sharabi, Shiri Elmedvi, Reut Timor, Ateret Davidovich, Francois Vigneault, Chris Clouser, Ronen Hope, Assy Nimer, Marius Braun, Yaacov Y. Weiss, Pazit Polak, Gur Yaari, Meital Gal-Tanamy
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-12-01
Series:Frontiers in Immunology
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Online Access:https://www.frontiersin.org/article/10.3389/fimmu.2018.03004/full
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spelling doaj-efa7cf7906384b49962a86e003a8452f2020-11-24T23:26:36ZengFrontiers Media S.A.Frontiers in Immunology1664-32242018-12-01910.3389/fimmu.2018.03004421638Antibody Repertoire Analysis of Hepatitis C Virus Infections Identifies Immune Signatures Associated With Spontaneous ClearanceSivan Eliyahu0Oz Sharabi1Shiri Elmedvi2Reut Timor3Ateret Davidovich4Francois Vigneault5Chris Clouser6Ronen Hope7Assy Nimer8Marius Braun9Yaacov Y. Weiss10Pazit Polak11Gur Yaari12Meital Gal-Tanamy13Molecular Virology Lab, The Azrieli Faculty of Medicine, Bar-Ilan University, Safed, IsraelBioengineering, Faculty of Engineering, Bar-Ilan University, Ramat-Gan, IsraelMolecular Virology Lab, The Azrieli Faculty of Medicine, Bar-Ilan University, Safed, IsraelBioengineering, Faculty of Engineering, Bar-Ilan University, Ramat-Gan, IsraelMolecular Virology Lab, The Azrieli Faculty of Medicine, Bar-Ilan University, Safed, IsraelAbVitro, Inc., Boston, MA, United StatesAbVitro, Inc., Boston, MA, United StatesBioengineering, Faculty of Engineering, Bar-Ilan University, Ramat-Gan, IsraelInternal Medicine Department A, Western Galilee Medical Center, Naharyia and Faculty of Medicine in the Galilee, Bar-Ilan University, Safed, IsraelLiver Institute, Rabin Medical Center, Sackler School of Medicine, Tel-Aviv University, Tel Aviv-Yafo, IsraelBioengineering, Faculty of Engineering, Bar-Ilan University, Ramat-Gan, IsraelBioengineering, Faculty of Engineering, Bar-Ilan University, Ramat-Gan, IsraelBioengineering, Faculty of Engineering, Bar-Ilan University, Ramat-Gan, IsraelMolecular Virology Lab, The Azrieli Faculty of Medicine, Bar-Ilan University, Safed, IsraelHepatitis C virus (HCV) is a major public health concern, with over 70 million people infected worldwide, who are at risk for developing life-threatening liver disease. No vaccine is available, and immunity against the virus is not well-understood. Following the acute stage, HCV usually causes chronic infections. However, ~30% of infected individuals spontaneously clear the virus. Therefore, using HCV as a model for comparing immune responses between spontaneous clearer (SC) and chronically infected (CI) individuals may empower the identification of mechanisms governing viral infection outcomes. Here, we provide the first in-depth analysis of adaptive immune receptor repertoires in individuals with current or past HCV infection. We demonstrate that SC individuals, in contrast to CI patients, develop clusters of antibodies with distinct properties. These antibodies' characteristics were used in a machine learning framework to accurately predict infection outcome. Using combinatorial antibody phage display library technology, we identified HCV-specific antibody sequences. By integrating these data with the repertoire analysis, we constructed two antibodies characterized by high neutralization breadth, which are associated with clearance. This study provides insight into the nature of effective immune response against HCV and demonstrates an innovative approach for constructing antibodies correlating with successful infection clearance. It may have clinical implications for prognosis of the future status of infection, and the design of effective immunotherapies and a vaccine for HCV.https://www.frontiersin.org/article/10.3389/fimmu.2018.03004/fullhepatitis C virusantibody repertoireneutralizing antibodiesinfectious diseaseimmune signature
collection DOAJ
language English
format Article
sources DOAJ
author Sivan Eliyahu
Oz Sharabi
Shiri Elmedvi
Reut Timor
Ateret Davidovich
Francois Vigneault
Chris Clouser
Ronen Hope
Assy Nimer
Marius Braun
Yaacov Y. Weiss
Pazit Polak
Gur Yaari
Meital Gal-Tanamy
spellingShingle Sivan Eliyahu
Oz Sharabi
Shiri Elmedvi
Reut Timor
Ateret Davidovich
Francois Vigneault
Chris Clouser
Ronen Hope
Assy Nimer
Marius Braun
Yaacov Y. Weiss
Pazit Polak
Gur Yaari
Meital Gal-Tanamy
Antibody Repertoire Analysis of Hepatitis C Virus Infections Identifies Immune Signatures Associated With Spontaneous Clearance
Frontiers in Immunology
hepatitis C virus
antibody repertoire
neutralizing antibodies
infectious disease
immune signature
author_facet Sivan Eliyahu
Oz Sharabi
Shiri Elmedvi
Reut Timor
Ateret Davidovich
Francois Vigneault
Chris Clouser
Ronen Hope
Assy Nimer
Marius Braun
Yaacov Y. Weiss
Pazit Polak
Gur Yaari
Meital Gal-Tanamy
author_sort Sivan Eliyahu
title Antibody Repertoire Analysis of Hepatitis C Virus Infections Identifies Immune Signatures Associated With Spontaneous Clearance
title_short Antibody Repertoire Analysis of Hepatitis C Virus Infections Identifies Immune Signatures Associated With Spontaneous Clearance
title_full Antibody Repertoire Analysis of Hepatitis C Virus Infections Identifies Immune Signatures Associated With Spontaneous Clearance
title_fullStr Antibody Repertoire Analysis of Hepatitis C Virus Infections Identifies Immune Signatures Associated With Spontaneous Clearance
title_full_unstemmed Antibody Repertoire Analysis of Hepatitis C Virus Infections Identifies Immune Signatures Associated With Spontaneous Clearance
title_sort antibody repertoire analysis of hepatitis c virus infections identifies immune signatures associated with spontaneous clearance
publisher Frontiers Media S.A.
series Frontiers in Immunology
issn 1664-3224
publishDate 2018-12-01
description Hepatitis C virus (HCV) is a major public health concern, with over 70 million people infected worldwide, who are at risk for developing life-threatening liver disease. No vaccine is available, and immunity against the virus is not well-understood. Following the acute stage, HCV usually causes chronic infections. However, ~30% of infected individuals spontaneously clear the virus. Therefore, using HCV as a model for comparing immune responses between spontaneous clearer (SC) and chronically infected (CI) individuals may empower the identification of mechanisms governing viral infection outcomes. Here, we provide the first in-depth analysis of adaptive immune receptor repertoires in individuals with current or past HCV infection. We demonstrate that SC individuals, in contrast to CI patients, develop clusters of antibodies with distinct properties. These antibodies' characteristics were used in a machine learning framework to accurately predict infection outcome. Using combinatorial antibody phage display library technology, we identified HCV-specific antibody sequences. By integrating these data with the repertoire analysis, we constructed two antibodies characterized by high neutralization breadth, which are associated with clearance. This study provides insight into the nature of effective immune response against HCV and demonstrates an innovative approach for constructing antibodies correlating with successful infection clearance. It may have clinical implications for prognosis of the future status of infection, and the design of effective immunotherapies and a vaccine for HCV.
topic hepatitis C virus
antibody repertoire
neutralizing antibodies
infectious disease
immune signature
url https://www.frontiersin.org/article/10.3389/fimmu.2018.03004/full
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