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Hu X, Li J, Feng X. Threshold dynamics of a HCV model with virus to cell transmission in both liver with CTL immune response and the extrahepatic tissue. JOURNAL OF BIOLOGICAL DYNAMICS 2021; 15:19-34. [PMID: 33357087 DOI: 10.1080/17513758.2020.1859632] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Accepted: 11/16/2020] [Indexed: 06/12/2023]
Abstract
In this paper, a deterministic model characterizing the within-host infection of Hepatitis C virus (HCV) in intrahepatic and extrahepatic tissues is presented. In addition, the model also includes the effect of the cytotoxic T lymphocyte (CTL) immunity described by a linear activation rate by infected cells. Firstly, the non-negativity and boundedness of solutions of the model are established. Secondly, the basic reproduction number R01 and immune reproduction number R02 are calculated, respectively. Three equilibria, namely, infection-free, CTL immune response-free and infected equilibrium with CTL immune response are discussed in terms of these two thresholds. Thirdly, the stability of these three equilibria is investigated theoretically as well as numerically. The results show that when R01<1 , the virus will be cleared out eventually and the CTL immune response will also disappear; when R02<1<R01 , the virus persists within the host, but the CTL immune response disappears eventually; when R02>1 , both of the virus and the CTL immune response persist within the host. Finally, a brief discussion will be given.
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Affiliation(s)
- Xinli Hu
- School of Science, Xi'an Polytechnic University, Xi'an, People's Republic of China
| | - Jianquan Li
- School of Arts and Sciences, Shaanxi University of Science and Technoloty, Xi'an, People's Republic of China
| | - Xiaomei Feng
- School of Mathematics and Informational Sciences, Shaanxi Normal University, Xi'an, People's Republic of China
- School of Mathematics and Informational Technology, Yuncheng University, Yuncheng, People's Republic of China
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2
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Optimal Control of a Cell-to-Cell Fractional-Order Model with Periodic Immune Response for HCV. Symmetry (Basel) 2021. [DOI: 10.3390/sym13112121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
In this paper, a Caputo fractional-order HCV Periodic immune response model with saturation incidence, cell-to-cell and drug control was proposed. We derive two different basic reproductive numbers and their relation with infection-free equilibrium and the immune-exhausted equilibrium. Moreover, there exists some symmetry in the relationship between the two equilibria and the basic reproduction numbers. We obtain the global stability of the infection-free equilibrium by using Lyapunov function and the local stability of the immune-exhausted equilibrium. The optimal control problem is also considered and two control strategies are given; one is for ITX5061 monotherapy, the other is for ITX5061 and DAAs combination therapy. Matlab numerical simulation shows that combination therapy has lower objective function value; therefore, it is worth trying to use combination therapy to treat HCV infection.
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Russelli G, Pizzillo P, Iannolo G, Barbera F, Tuzzolino F, Liotta R, Traina M, Vizzini G, Gridelli B, Badami E, Conaldi PG. HCV replication in gastrointestinal mucosa: Potential extra-hepatic viral reservoir and possible role in HCV infection recurrence after liver transplantation. PLoS One 2017; 12:e0181683. [PMID: 28750044 PMCID: PMC5531480 DOI: 10.1371/journal.pone.0181683] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2017] [Accepted: 07/04/2017] [Indexed: 12/12/2022] Open
Abstract
PURPOSE Hepatitis C virus (HCV) predominantly infects hepatocytes, although it is known that receptors for viral entry are distributed on a wide array of target cells. Chronic HCV infection is indeed characterized by multiple non-liver manifestations, suggesting a more complex HCV tropism extended to extrahepatic tissues and remains to be fully elucidated. In this study, we investigated the gastrointestinal mucosa (GIM) as a potential extrahepatic viral replication site and its contribution to HCV recurrence. METHODS We analyzed GIM biopsies from a cohort of 76 patients, 11 of which were HCV-negative and 65 HCV-positive. Of these, 54 biopsies were from liver-transplanted patients. In 29 cases, we were able to investigate gastrointestinal biopsies from the same patient before and after transplant. To evaluate the presence of HCV, we looked for viral antigens and genome RNA, whilst to assess viral replicative activity, we searched for the replicative intermediate minus-strand RNA. We studied the genetic diversity and the phylogenetic relationship of HCV quasispecies from plasma, liver and gastrointestinal mucosa of HCV-liver-transplanted patients in order to assess HCV compartmentalization and possible contribution of gastrointestinal variants to liver re-infection after transplantation. RESULTS Here we show that HCV infects and replicates in the cells of the GIM and that the favorite hosts were mostly enteroendocrine cells. Interestingly, we observed compartmentalization of the HCV quasispecies present in the gastrointestinal mucosa compared to other tissues of the same patient. Moreover, the phylogenetic analysis revealed a high similarity between HCV variants detected in gastrointestinal mucosa and those present in the re-infected graft. CONCLUSIONS Our results demonstrated that the gastrointestinal mucosa might be considered as an extrahepatic reservoir of HCV and that could contribute to viral recurrence. Moreover, the finding that HCV infects and replicates in neuroendocrine cells opens new perspectives on the role of these cells in the natural history of HCV infection.
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Affiliation(s)
- Giovanna Russelli
- Department of Laboratory Medicine and Advanced Biotechnologies, IRCCS-ISMETT (Istituto Mediterraneo per i Trapianti e Terapie ad alta specializzazione), Palermo, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Paola Pizzillo
- Department of Laboratory Medicine and Advanced Biotechnologies, IRCCS-ISMETT (Istituto Mediterraneo per i Trapianti e Terapie ad alta specializzazione), Palermo, Italy
| | - Gioacchin Iannolo
- Department of Laboratory Medicine and Advanced Biotechnologies, IRCCS-ISMETT (Istituto Mediterraneo per i Trapianti e Terapie ad alta specializzazione), Palermo, Italy
| | - Floriana Barbera
- Department of Laboratory Medicine and Advanced Biotechnologies, IRCCS-ISMETT (Istituto Mediterraneo per i Trapianti e Terapie ad alta specializzazione), Palermo, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | | | - Rosa Liotta
- Pathology Service, Department of Diagnostic and Therapeutic Services, IRCCS-ISMETT, Palermo, Italy
| | - Mario Traina
- Endoscopy Service, Department of Diagnostic and Therapeutic Services, IRCCS-ISMETT, Palermo, Italy
| | - Giovanni Vizzini
- Department for the Treatment and Study of Abdominal Diseases and Abdominal Transplantation, IRCCS-ISMETT, Palermo, Italy
| | - Bruno Gridelli
- Department for the Treatment and Study of Abdominal Diseases and Abdominal Transplantation, IRCCS-ISMETT, Palermo, Italy
| | | | - Pier Giulio Conaldi
- Department of Laboratory Medicine and Advanced Biotechnologies, IRCCS-ISMETT (Istituto Mediterraneo per i Trapianti e Terapie ad alta specializzazione), Palermo, Italy
- Fondazione Ri.MED, Palermo, Italy
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Ikram A, Obaid A, Awan FM, Hanif R, Naz A, Paracha RZ, Ali A, Janjua HA. Identification of drug resistance and immune-driven variations in hepatitis C virus (HCV) NS3/4A, NS5A and NS5B regions reveals a new approach toward personalized medicine. Antiviral Res 2016; 137:112-124. [PMID: 27984060 DOI: 10.1016/j.antiviral.2016.10.013] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2016] [Revised: 10/06/2016] [Accepted: 10/21/2016] [Indexed: 02/07/2023]
Abstract
Cellular immune responses (T cell responses) during hepatitis C virus (HCV) infection are significant factors for determining the outcome of infection. HCV adapts to host immune responses by inducing mutations in its genome at specific sites that are important for HLA processing/presentation. Moreover, HCV also adapts to resist potential drugs that are used to restrict its replication, such as direct-acting antivirals (DAAs). Although DAAs have significantly reduced disease burden, resistance to these drugs is still a challenge for the treatment of HCV infection. Recently, drug resistance mutations (DRMs) observed in HCV proteins (NS3/4A, NS5A and NS5B) have heightened concern that the emergence of drug resistance may compromise the effectiveness of DAAs. Therefore, the NS3/4A, NS5A and NS5B drug resistance variations were investigated in this study, and their prevalence was examined in a large number of protein sequences from all HCV genotypes. Furthermore, potential CD4+ and CD8+ T cell epitopes were predicted and their overlap with genetic variations was explored. The findings revealed that many reported DRMs within NS3/4A, NS5A and NS5B are not drug-induced; rather, they are already present in HCV strains, as they were also detected in HCV-naïve patients. This study highlights several hot spots in which HLA and drug selective pressure overlap. Interestingly, these overlapping mutations were frequently observed among many HCV genotypes. This study implicates that knowledge of the host HLA type and HCV subtype/genotype can provide important information in defining personalized therapy.
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Affiliation(s)
- Aqsa Ikram
- Department of Industrial Biotechnology, Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Pakistan
| | - Ayesha Obaid
- Department of Industrial Biotechnology, Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Pakistan
| | - Faryal Mehwish Awan
- Department of Industrial Biotechnology, Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Pakistan
| | - Rumeza Hanif
- Department of Healtcare Biotechnology, Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Pakistan
| | - Anam Naz
- Department of Industrial Biotechnology, Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Pakistan
| | - Rehan Zafar Paracha
- Department of Computer Sciences, RCMS, National University of Sciences and Technology (NUST), Pakistan
| | - Amjad Ali
- Department of Industrial Biotechnology, Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Pakistan
| | - Hussnain Ahmed Janjua
- Department of Industrial Biotechnology, Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Pakistan.
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Gaspareto KV, Ribeiro RM, de Mello Malta F, Gomes-Gouvêa MS, Muto NH, Mendes-Correa MC, Rozanski A, Carrilho FJ, Sabino EC, Pinho JRR. HCV inter-subtype 1a/1b recombinant detected by complete-genome next-generation sequencing. Arch Virol 2016; 161:2161-8. [PMID: 27194536 DOI: 10.1007/s00705-016-2889-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2015] [Accepted: 05/06/2016] [Indexed: 12/22/2022]
Abstract
Next-generation sequencing (NGS) provides a practical approach to HCV complete-genome sequencing, detecting low-frequency variants and allowing analysis of viral genetic diversity (quasispecies) in the sample, and so far, it is very useful for identifying preexisting drug-resistant mutants and emerging escape mutations, as well as detecting viral recombinants containing genomic regions from different genotypes and subtypes. The aim of this study was to analyze the complete coding region of hepatitis C virus (HCV) genotype 1 (subtypes 1a and 1b) from patients with chronic infection who were direct-acting antiviral (DAA) naïve. Next-generation sequencing (Ion Torrent™ PGM) was used to determine the sequence of the complete coding region of 100 HCV-monoinfected DAA-naïve patients (51 and 49 subtypes 1a and 1b, respectively). We report the first description of nearly complete HCV genome sequences of subtype 1a and 1b isolates from a large population of Brazilian patients with chronic hepatitis C, and HCV-1a grouped in two different clades. Using this methodology, an inter-subtype 1a/1b recombinant was identified in this study.
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Affiliation(s)
- Karine Vieira Gaspareto
- Laboratory of Tropical Gastroenterology and Hepatology "João Alves de Queiroz and Castorina Bittencourt Alves", LIM-07, Institute of Tropical Medicine, University of São Paulo, Av. Dr. Enéas Carvalho Aguiar, 500, 2nd floor IMT-II, São Paulo, SP, 05403-000, Brazil.,Department of Gastroenterology, School of Medicine, University of São Paulo, São Paulo, SP, 05403-000, Brazil.,Graduate Program in Biotechnology Interunits (USP/Butantan/IPT), University of São Paulo, São Paulo, Brazil
| | - Roberto Marques Ribeiro
- Laboratory of Parasitology, LIM-46, Institute of Tropical Medicine, University of São Paulo, São Paulo, SP, Brazil.,Department of Infectious and Parasitic Diseases, School of Medicine, University of São Paulo, São Paulo, SP, Brazil
| | - Fernanda de Mello Malta
- Laboratory of Tropical Gastroenterology and Hepatology "João Alves de Queiroz and Castorina Bittencourt Alves", LIM-07, Institute of Tropical Medicine, University of São Paulo, Av. Dr. Enéas Carvalho Aguiar, 500, 2nd floor IMT-II, São Paulo, SP, 05403-000, Brazil. .,Department of Gastroenterology, School of Medicine, University of São Paulo, São Paulo, SP, 05403-000, Brazil.
| | - Michele Soares Gomes-Gouvêa
- Laboratory of Tropical Gastroenterology and Hepatology "João Alves de Queiroz and Castorina Bittencourt Alves", LIM-07, Institute of Tropical Medicine, University of São Paulo, Av. Dr. Enéas Carvalho Aguiar, 500, 2nd floor IMT-II, São Paulo, SP, 05403-000, Brazil.,Department of Gastroenterology, School of Medicine, University of São Paulo, São Paulo, SP, 05403-000, Brazil
| | | | - Maria Cassia Mendes-Correa
- Department of Infectious and Parasitic Diseases, School of Medicine, University of São Paulo, São Paulo, SP, Brazil.,Laboratory of Virology, LIM-52, Institute of Tropical Medicine, University of São Paulo, São Paulo, SP, Brazil
| | - Andrei Rozanski
- Laboratory of Bioinformatics, Sírio-Libanês Hospital, São Paulo, Brazil
| | - Flair José Carrilho
- Laboratory of Tropical Gastroenterology and Hepatology "João Alves de Queiroz and Castorina Bittencourt Alves", LIM-07, Institute of Tropical Medicine, University of São Paulo, Av. Dr. Enéas Carvalho Aguiar, 500, 2nd floor IMT-II, São Paulo, SP, 05403-000, Brazil.,Department of Gastroenterology, School of Medicine, University of São Paulo, São Paulo, SP, 05403-000, Brazil
| | - Ester Cerdeira Sabino
- Laboratory of Parasitology, LIM-46, Institute of Tropical Medicine, University of São Paulo, São Paulo, SP, Brazil.,Department of Infectious and Parasitic Diseases, School of Medicine, University of São Paulo, São Paulo, SP, Brazil
| | - João Renato Rebello Pinho
- Laboratory of Tropical Gastroenterology and Hepatology "João Alves de Queiroz and Castorina Bittencourt Alves", LIM-07, Institute of Tropical Medicine, University of São Paulo, Av. Dr. Enéas Carvalho Aguiar, 500, 2nd floor IMT-II, São Paulo, SP, 05403-000, Brazil.,Department of Gastroenterology, School of Medicine, University of São Paulo, São Paulo, SP, 05403-000, Brazil.,Graduate Program in Biotechnology Interunits (USP/Butantan/IPT), University of São Paulo, São Paulo, Brazil.,Hospital Israelita Albert Einstein, São Paulo, SP, Brazil
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Abstract
UNLABELLED Hepatitis C virus (HCV) afflicts 170 million people worldwide, 2%-3% of the global population, and kills 350 000 each year. Prophylactic vaccination offers the most realistic and cost effective hope of controlling this epidemic in the developing world where expensive drug therapies are not available. Despite 20 years of research, the high mutability of the virus and lack of knowledge of what constitutes effective immune responses have impeded development of an effective vaccine. Coupling data mining of sequence databases with spin glass models from statistical physics, we have developed a computational approach to translate clinical sequence databases into empirical fitness landscapes quantifying the replicative capacity of the virus as a function of its amino acid sequence. These landscapes explicitly connect viral genotype to phenotypic fitness, and reveal vulnerable immunological targets within the viral proteome that can be exploited to rationally design vaccine immunogens. We have recovered the empirical fitness landscape for the HCV RNA-dependent RNA polymerase (protein NS5B) responsible for viral genome replication, and validated the predictions of our model by demonstrating excellent accord with experimental measurements and clinical observations. We have used our landscapes to perform exhaustive in silico screening of 16.8 million T-cell immunogen candidates to identify 86 optimal formulations. By reducing the search space of immunogen candidates by over five orders of magnitude, our approach can offer valuable savings in time, expense, and labor for experimental vaccine development and accelerate the search for a HCV vaccine. ABBREVIATIONS HCV-hepatitis C virus, HLA-human leukocyte antigen, CTL-cytotoxic T lymphocyte, NS5B-nonstructural protein 5B, MSA-multiple sequence alignment, PEG-IFN-pegylated interferon.
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Affiliation(s)
- Gregory R Hart
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
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Abstract
To test the hypothesis that RNA interference (RNAi) imposes diversifying selection on RNA virus genomes, we quantified West Nile virus (WNV) quasispecies diversity after passage in Drosophila cells in which RNAi was left intact, depleted, or stimulated against WNV. As predicted, WNV diversity was significantly lower in RNAi-depleted cells and significantly greater in RNAi-stimulated cells relative to that in controls. These findings reveal that an innate immune defense can shape viral population structure.
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Dynamical analysis on a chronic hepatitis C virus infection model with immune response. J Theor Biol 2014; 365:337-46. [PMID: 25451526 DOI: 10.1016/j.jtbi.2014.10.039] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2014] [Revised: 08/23/2014] [Accepted: 10/29/2014] [Indexed: 01/11/2023]
Abstract
A mathematical model for HCV infection is established, in which the effect of dendritic cells (DC) and cytotoxic T lymphocytes (CTL) on HCV infection is considered. The basic reproduction numbers of chronic HCV infection and immune control are found. The obtained results show that the infection dies out finally as the basic reproduction number of HCV infection is less than unity, and the infection becomes chronic as it is greater than unity. In the presence of chronic infection, the existence of immune control equilibrium is discussed completely, which illustrates that the backward bifurcation may occur under certain conditions, and that the two quantities, the sizes of the activated DC and the removed CTL during their average life-terms, play a critical role in controlling chronic HCV infection and immune response. The occurrence of backward bifurcation implies that there may be bistability for the model, i.e., the outcome of infection depends on the initial situation. By choosing the activated rate of non-activated DC or the cross-representation rate of activated DC as bifurcation number, Hopf bifurcation for certain condition shows the existence of periodic solution of the model. Again, numerical simulations suggest the dynamical complexity of the model including the instability of immune control equilibrium and the existence of stable periodic solution.
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Applegate TL, Gaudieri S, Plauzolles A, Chopra A, Grebely J, Lucas M, Hellard M, Luciani F, Dore GJ, Matthews GV. Naturally occurring dominant drug resistance mutations occur infrequently in the setting of recently acquired hepatitis C. Antivir Ther 2014; 20:199-208. [PMID: 25105742 DOI: 10.3851/imp2821] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/24/2014] [Indexed: 12/13/2022]
Abstract
BACKGROUND Direct-acting antivirals (DAAs) are predicted to transform hepatitis C therapy, yet little is known about the prevalence of naturally occurring resistance mutations in recently acquired HCV. This study aimed to determine the prevalence and frequency of drug resistance mutations in the viral quasispecies among HIV-positive and -negative individuals with recent HCV. METHODS The NS3 protease, NS5A and NS5B polymerase genes were amplified from 50 genotype 1a participants of the Australian Trial in Acute Hepatitis C. Amino acid variations at sites known to be associated with possible drug resistance were analysed by ultra-deep pyrosequencing. RESULTS A total of 12% of individuals harboured dominant resistance mutations, while 36% demonstrated non-dominant resistant variants below that detectable by bulk sequencing (that is, <20%) but above a threshold of 1%. Resistance variants (<1%) were observed at most sites associated with DAA resistance from all classes, with the exception of sofosbuvir. CONCLUSIONS Dominant resistant mutations were uncommonly observed in the setting of recent HCV. However, low-level mutations to all DAA classes were observed by deep sequencing at the majority of sites and in most individuals. The significance of these variants and impact on future treatment options remains to be determined. Clinicaltrials.gov NCT00192569.
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A bioinformatics pipeline for the analyses of viral escape dynamics and host immune responses during an infection. BIOMED RESEARCH INTERNATIONAL 2014; 2014:264519. [PMID: 25013771 PMCID: PMC4072169 DOI: 10.1155/2014/264519] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/31/2014] [Accepted: 05/08/2014] [Indexed: 01/21/2023]
Abstract
Rapidly mutating viruses, such as hepatitis C virus (HCV) and HIV, have adopted evolutionary strategies that allow escape from the host immune response via genomic mutations. Recent advances in high-throughput sequencing are reshaping the field of immuno-virology of viral infections, as these allow fast and cheap generation of genomic data. However, due to the large volumes of data generated, a thorough understanding of the biological and immunological significance of such information is often difficult. This paper proposes a pipeline that allows visualization and statistical analysis of viral mutations that are associated with immune escape. Taking next generation sequencing data from longitudinal analysis of HCV viral genomes during a single HCV infection, along with antigen specific T-cell responses detected from the same subject, we demonstrate the applicability of these tools in the context of primary HCV infection. We provide a statistical and visual explanation of the relationship between cooccurring mutations on the viral genome and the parallel adaptive immune response against HCV.
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Capone S, Naddeo M, D'Alise AM, Abbate A, Grazioli F, Del Gaudio A, Del Sorbo M, Esposito ML, Ammendola V, Perretta G, Taglioni A, Colloca S, Nicosia A, Cortese R, Folgori A. Fusion of HCV nonstructural antigen to MHC class II-associated invariant chain enhances T-cell responses induced by vectored vaccines in nonhuman primates. Mol Ther 2014; 22:1039-47. [PMID: 24476798 DOI: 10.1038/mt.2014.15] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2013] [Accepted: 01/23/2014] [Indexed: 02/06/2023] Open
Abstract
Despite viral vectors being potent inducers of antigen-specific T cells, strategies to further improve their immunogenicity are actively pursued. Of the numerous approaches investigated, fusion of the encoded antigen to major histocompatibility complex class II-associated invariant chain (Ii) has been reported to enhance CD8(+) T-cell responses. We have previously shown that adenovirus vaccine encoding nonstructural (NS) hepatitis C virus (HCV) proteins induces potent T-cell responses in humans. However, even higher T-cell responses might be required to achieve efficacy against different HCV genotypes or therapeutic effect in chronically infected HCV patients. In this study, we assessed fusion of the HCV NS antigen to murine and human Ii expressed by the chimpanzee adenovirus vector ChAd3 or recombinant modified vaccinia Ankara in mice and nonhuman primates (NHPs). A dramatic increase was observed in outbred mice in which vaccination with ChAd3 expressing the fusion antigen resulted in a 10-fold increase in interferon-γ(+) CD8(+) T cells. In NHPs, CD8(+) T-cell responses were enhanced and accelerated with vectors encoding the Ii-fused antigen. These data show for the first time that the enhancement induced by vector vaccines encoding li-fused antigen was not species specific and can be translated from mice to NHPs, opening the way for testing in humans.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Gemma Perretta
- Cellular Biology and Neurobiology Institute (IBCN) National Research Council of Italy, Rome, Italy
| | - Alessandra Taglioni
- Cellular Biology and Neurobiology Institute (IBCN) National Research Council of Italy, Rome, Italy
| | | | - Alfredo Nicosia
- 1] Okairos, Rome, Italy [2] CEINGE, Naples, Italy [3] Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Naples, Italy
| | - Riccardo Cortese
- 1] Okairos, Rome, Italy [2] Okairos AG, c/o OBC Suisse AG, Basel, Switzerland
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