ArticleFrontiers in immunology2018
Antibody Repertoire Analysis of Hepatitis C Virus Infections Identifies Immune Signatures Associated With Spontaneous Clearance.
Article in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
24 citing papers in PubMed, 44 citations in OpenAlex.
- Machine Learning of Personal Repertoires From Public T Cell Receptors.Immunological reviews · 2026Review
- The current landscape of adaptive immune receptor genomic and repertoire data: OGRDB and VDJbase.Nucleic acids research · 2026Article
- Silent mutations in coding regions of Hepatitis C virus affect patterns of HCV RNA structures and attenuate viral replication and pathogenesis.Genome biology · 2025Article
- A 3D Surface Plot for the Effective Visualization of Specific Serum Antibody Binding Properties.Antibodies (Basel, Switzerland) · 2025Article
- Broadly Neutralizing Antibody Characteristics in Hepatitis C Virus Infection and Implications for Vaccine Design.Vaccines · 2025Review
- Disease diagnostics using machine learning of B cell and T cell receptor sequences.Science (New York, N.Y.) · 2025Article
- Exploring T-Cell Immunity to Hepatitis C Virus: Insights from Different Vaccine and Antigen Presentation Strategies.Vaccines · 2024Review
- Robust detection of infectious disease, autoimmunity, and cancer from the paratope networks of adaptive immune receptors.Briefings in bioinformatics · 2024Article
- Guidelines for reproducible analysis of adaptive immune receptor repertoire sequencing data.Briefings in bioinformatics · 2024Article
- IGHV allele similarity clustering improves genotype inference from adaptive immune receptor repertoire sequencing data.Nucleic acids research · 2023Article
- Accurate profiling of full-length Fv in highly homologous antibody libraries using UMI tagged short reads.Nucleic acids research · 2023Article
- Altered somatic hypermutation patterns in COVID-19 patients classifies disease severity.Frontiers in immunology · 2023Article
- A comparison of the binding sites of antibodies and single-domain antibodies.Frontiers in immunology · 2023Article
- A somatic hypermutation-based machine learning model stratifies individuals with Crohn's disease and controls.Genome research · 2023Article
- The Neutralizing Antibody Responses of Individuals That Spontaneously Resolve Hepatitis C Virus Infection.Viruses · 2022Article
- T cell receptor beta germline variability is revealed by inference from repertoire data.Genome medicine · 2022Article
- A scalable model for simulating multi-round antibody evolution and benchmarking of clonal tree reconstruction methods.Frontiers in immunology · 2022Article
- Review
- Antibody Responses in Hepatitis C Infection.Cold Spring Harbor perspectives in medicine · 2021Review
- Immune2vec: Embedding B/T Cell Receptor Sequences in ℝFrontiers in immunology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.