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Zhao L, Hall M, Giridhar P, Ghafari M, Kemp S, Chai H, Klenerman P, Barnes E, Ansari MA, Lythgoe K. Genetically distinct within-host subpopulations of hepatitis C virus persist after Direct-Acting Antiviral treatment failure. PLoS Pathog 2025; 21:e1012959. [PMID: 40168433 PMCID: PMC11981120 DOI: 10.1371/journal.ppat.1012959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2024] [Revised: 04/09/2025] [Accepted: 02/05/2025] [Indexed: 04/03/2025] Open
Abstract
Analysis of viral genetic data has previously revealed distinct within-host population structures in both untreated and interferon-treated chronic hepatitis C virus (HCV) infections. While multiple subpopulations persisted during the infection, each subpopulation was observed only intermittently. However, it was unknown whether similar patterns were also present after Direct-Acting Antiviral (DAA) treatment, where viral populations were often assumed to go through narrow bottlenecks. Here we tested for the maintenance of population structure after DAA treatment failure, and whether there were different evolutionary rates along distinct lineages where they were observed. We analysed whole-genome next-generation sequencing data generated from a randomised study using DAAs (the BOSON study). We focused on samples collected from patients (N=84) who did not achieve sustained virological response (i.e., treatment failure) and had sequenced virus from multiple timepoints. Given the short-read nature of the data, we used a number of methods to identify distinct within-host lineages including tracking concordance in intra-host nucleotide variant (iSNV) frequencies, applying sequenced-based and tree-based clustering algorithms to sliding windows along the genome, and haplotype reconstruction. Distinct viral subpopulations were maintained among a high proportion of individuals post DAA treatment failure. Using maximum likelihood modelling and model comparison, we found an overdispersion of viral evolutionary rates among individuals, and significant differences in evolutionary rates between lineages within individuals. These results suggest the virus is compartmentalised within individuals, with the varying evolutionary rates due to different viral replication rates and/or different selection pressures. We endorse lineage awareness in future analyses of HCV evolution and infections to avoid conflating patterns from distinct lineages, and to recognise the likely existence of unsampled subpopulations.
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Affiliation(s)
- Lele Zhao
- Nuffield Department of Medicine, Pandemic Sciences Institute, University of Oxford, Oxford, United Kingdom
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom
| | - Matthew Hall
- Nuffield Department of Medicine, Pandemic Sciences Institute, University of Oxford, Oxford, United Kingdom
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom
| | | | - Mahan Ghafari
- Nuffield Department of Medicine, Pandemic Sciences Institute, University of Oxford, Oxford, United Kingdom
| | - Steven Kemp
- Nuffield Department of Medicine, Pandemic Sciences Institute, University of Oxford, Oxford, United Kingdom
| | - Haiting Chai
- Nuffield Department of Medicine, Peter Medawar Building for Pathogen Research, University of Oxford, Oxford, United Kingdom
| | - Paul Klenerman
- Nuffield Department of Medicine, Peter Medawar Building for Pathogen Research, University of Oxford, Oxford, United Kingdom
| | - Eleanor Barnes
- Nuffield Department of Medicine, Peter Medawar Building for Pathogen Research, University of Oxford, Oxford, United Kingdom
| | - M. Azim Ansari
- Nuffield Department of Medicine, Peter Medawar Building for Pathogen Research, University of Oxford, Oxford, United Kingdom
| | - Katrina Lythgoe
- Nuffield Department of Medicine, Pandemic Sciences Institute, University of Oxford, Oxford, United Kingdom
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom
- Department of Biology, University of Oxford, Oxford, United Kingdom
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Frumento N, Figueroa A, Wang T, Zahid MN, Wang S, Massaccesi G, Stavrakis G, Crowe JE, Flyak AI, Ji H, Ray SC, Shaw GM, Cox AL, Bailey JR. Repeated exposure to heterologous hepatitis C viruses associates with enhanced neutralizing antibody breadth and potency. J Clin Invest 2022; 132:e160058. [PMID: 35588376 PMCID: PMC9337827 DOI: 10.1172/jci160058] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 05/17/2022] [Indexed: 11/17/2022] Open
Abstract
A prophylactic hepatitis C virus (HCV) vaccine that elicits neutralizing antibodies could be key to HCV eradication. However, the genetic and antigenic properties of HCV envelope (E1E2) proteins capable of inducing anti-HCV broadly neutralizing antibodies (bNAbs) in humans have not been defined. Here, we investigated the development of bNAbs in longitudinal plasma of HCV-infected persons with persistent infection or spontaneous clearance of multiple reinfections. By measuring plasma antibody neutralization of a heterologous virus panel, we found that the breadth and potency of the antibody response increased upon exposure to multiple genetically distinct infections and with longer duration of viremia. Greater genetic divergence between infecting strains was not associated with enhanced neutralizing breadth. Rather, repeated exposure to antigenically related, antibody-sensitive E1E2s was associated with potent bNAb induction. These data reveal that a prime-boost vaccine strategy with genetically distinct, antibody-sensitive viruses is a promising approach to inducing potent bNAbs in humans.
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Affiliation(s)
| | | | - Tingchang Wang
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Muhammad N. Zahid
- University of Bahrain, Department of Biology, College of Science, Sakhir Campus, Bahrain
| | - Shuyi Wang
- Department of Medicine and
- Department of Microbiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | | | | | - James E. Crowe
- Department of Pathology, Microbiology and Immunology
- Department of Pediatrics, and
- Vanderbilt Vaccine Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Andrew I. Flyak
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, USA
| | - Hongkai Ji
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | | | - George M. Shaw
- Department of Medicine and
- Department of Microbiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Plasma virome and the risk of blood-borne infection in persons with substance use disorder. Nat Commun 2021; 12:6909. [PMID: 34824209 PMCID: PMC8617242 DOI: 10.1038/s41467-021-26980-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 10/25/2021] [Indexed: 11/29/2022] Open
Abstract
There is an urgent need for innovative methods to reduce transmission of bloodborne pathogens like HIV and HCV among people who inject drugs (PWID). We investigate if PWID who acquire non-pathogenic bloodborne viruses like anelloviruses and pegiviruses might be at greater risk of acquiring a bloodborne pathogen. PWID who later acquire HCV accumulate more non-pathogenic viruses in plasma than matched controls who do not acquire HCV infection. Additionally, phylogenetic analysis of those non-pathogenic virus sequences reveals drug use networks. Here we find first in Baltimore and confirm in San Francisco that the accumulation of non-pathogenic viruses in PWID is a harbinger for subsequent acquisition of pathogenic viruses, knowledge that may guide the prioritization of the public health resources to combat HIV and HCV. Spread of bloodborne infections, such as HCV and HIV, is a problem, particularly amongst people who inject drugs (PWID). Here, the authors describe and then confirm in observational PWID cohorts that those with more non-pathogenic viruses in plasma were more likely later to acquire HCV than PWID who had fewer of these non-pathogenic viruses.
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