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Habermann D, Kharimzadeh H, Walker A, Li Y, Yang R, Kaiser R, Brumme ZL, Timm J, Roggendorf M, Hoffmann D. HAMdetector: A Bayesian regression model that integrates information to detect HLA-associated mutations. Bioinformatics 2022; 38:2428-2436. [PMID: 35238330 DOI: 10.1093/bioinformatics/btac134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 11/21/2021] [Accepted: 02/28/2022] [Indexed: 11/13/2022] Open
Abstract
MOTIVATION A key process in anti-viral adaptive immunity is that the Human Leukocyte Antigen system (HLA) presents epitopes as Major Histocompatibility Complex I (MHC I) protein-peptide complexes on cell surfaces and in this way alerts CD8+ cytotoxic T-Lymphocytes (CTLs). This pathway exerts strong selection pressure on viruses, favoring viral mutants that escape recognition by the HLA/CTL system. Naturally, such immune escape mutations often emerge in highly variable viruses, e.g. HIV or HBV, as HLA-associated mutations (HAMs), specific to the hosts MHC I proteins. The reliable identification of HAMs is not only important for understanding viral genomes and their evolution, but it also impacts the development of broadly effective anti-viral treatments and vaccines against variable viruses. By their very nature, HAMs are amenable to detection by statistical methods in paired sequence/HLA data. However, HLA alleles are very polymorphic in the human host population which makes the available data relatively sparse and noisy. Under these circumstances, one way to optimize HAM detection is to integrate all relevant information in a coherent model. Bayesian inference offers a principled approach to achieve this. RESULTS We present a new Bayesian regression model for the detection of HAMs that integrates a sparsity-inducing prior, epitope predictions, and phylogenetic bias assessment, and that yields easily interpretable quantitative information on HAM candidates. The model predicts experimentally confirmed HAMs as having high posterior probabilities, and it performs well in comparison to state-of-the-art models for several data sets from individuals infected with HBV, HDV, and HIV. AVAILABILITY The source code of this software is available at https://github.com/HAMdetector/Escape.jl under a permissive MIT license. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Daniel Habermann
- Bioinformatics and Computational Biophysics, Faculty of Biology, University of Duisburg-Essen, Essen, 45117, Germany
| | - Hadi Kharimzadeh
- Division of Clinical Pharmacology, University Hospital, LMU Munich, Munich, Germany
| | - Andreas Walker
- Institute of Virology, Medical Faculty, University Hospital Düsseldorf, Heinrich-Heine-Universität, Düsseldorf, 40225, Germany
| | - Yang Li
- AIDS and HIV Research Group, State Key Laboratory of Virology, Wuhan Institute of Virology,Chinese Academy of Science, Wuhan, P. R. China
| | - Rongge Yang
- AIDS and HIV Research Group, State Key Laboratory of Virology, Wuhan Institute of Virology,Chinese Academy of Science, Wuhan, P. R. China
| | - Rolf Kaiser
- Institute of Virology, University of Cologne, Faculty of Medicine and University Hospital of Cologne, Cologne, 50935, Germany
| | - Zabrina L Brumme
- Faculty of Health Sciences, Simon Fraser University, Burnaby, Canada.,British Columbia Centre for Excellence in HIV/AIDS, Vancouver, Canada
| | - Jörg Timm
- Institute of Virology, Medical Faculty, University Hospital Düsseldorf, Heinrich-Heine-Universität, Düsseldorf, 40225, Germany
| | - Michael Roggendorf
- Institute of Virology, School of Medicine, Technical University of Munich/Helmholtz Zentrum München, Munich, Germany
| | - Daniel Hoffmann
- Bioinformatics and Computational Biophysics, Faculty of Biology, University of Duisburg-Essen, Essen, 45117, Germany.,Center of Medical Biotechnology, University of Duisburg-Essen, Essen, Germany.,Center for Computational Sciences and Simulation, University of Duisburg-Essen, Essen, Germany
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2
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Andrews SF, Raab JE, Gorman J, Gillespie RA, Cheung CSF, Rawi R, Cominsky LY, Boyington JC, Creanga A, Shen CH, Harris DR, Olia AS, Nazzari AF, Zhou T, Houser KV, Chen GL, Mascola JR, Graham BS, Kanekiyo M, Ledgerwood JE, Kwong PD, McDermott AB. A single residue in influenza virus H2 hemagglutinin enhances the breadth of the B cell response elicited by H2 vaccination. Nat Med 2022; 28:373-382. [PMID: 35115707 DOI: 10.1038/s41591-021-01636-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 11/19/2021] [Indexed: 11/09/2022]
Abstract
Conserved epitopes on the influenza hemagglutinin (HA) stem are an attractive target for universal vaccine strategies as they elicit broadly neutralizing antibodies. Such antibody responses to stem-specific epitopes have been extensively characterized for HA subtypes H1 and H5 in humans. H2N2 influenza virus circulated 50 years ago and represents a pandemic threat due to the lack of widespread immunity, but, unlike H1 and H5, the H2 HA stem contains Phe45HA2 predicted to sterically clash with HA stem-binding antibodies characterized to date. To understand the effect of Phe45HA2, we compared the HA stem-specific B cell response in post hoc analyses of two phase 1 clinical trials, one testing vaccination with an H2 ferritin nanoparticle immunogen ( NCT03186781 ) and one with an inactivated H5N1 vaccine ( NCT01086657 ). In H2-naive individuals, the magnitude of the B cell response was equivalent, but H2-elicited HA stem-binding B cells displayed greater cross-reactivity than those elicited by H5. However, in individuals with childhood H2 exposure, H5-elicited HA stem-binding B cells also displayed high cross-reactivity, suggesting recall of memory B cells formed 50 years ago. Overall, we propose that a one-residue difference on an HA immunogen can alter establishment and expansion of broadly neutralizing memory B cells. These data have implications for stem-based universal influenza vaccination strategies.
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Affiliation(s)
- Sarah F Andrews
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
| | - Julie E Raab
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Jason Gorman
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Rebecca A Gillespie
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Crystal S F Cheung
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Reda Rawi
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Lauren Y Cominsky
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Jeffrey C Boyington
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Adrian Creanga
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Chen-Hsiang Shen
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Darcy R Harris
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Adam S Olia
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Alexandra F Nazzari
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | | | - Katherine V Houser
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Grace L Chen
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - John R Mascola
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Barney S Graham
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Masaru Kanekiyo
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Julie E Ledgerwood
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Peter D Kwong
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Adrian B McDermott
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
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3
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Chen Y, Juan L, Lv X, Shi L. Bioinformatics Research on Drug Sensitivity Prediction. Front Pharmacol 2021; 12:799712. [PMID: 34955863 PMCID: PMC8696280 DOI: 10.3389/fphar.2021.799712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 11/18/2021] [Indexed: 11/28/2022] Open
Abstract
Modeling-based anti-cancer drug sensitivity prediction has been extensively studied in recent years. While most drug sensitivity prediction models only use gene expression data, the remarkable impacts of gene mutation, methylation, and copy number variation on drug sensitivity are neglected. Drug sensitivity prediction can both help protect patients from some adverse drug reactions and improve the efficacy of treatment. Genomics data are extremely useful for drug sensitivity prediction task. This article reviews the role of drug sensitivity prediction, describes a variety of methods for predicting drug sensitivity. Moreover, the research significance of drug sensitivity prediction, as well as existing problems are well discussed.
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Affiliation(s)
- Yaojia Chen
- Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China
| | - Liran Juan
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Xiao Lv
- Beidahuang Industry Group General Hospital, Harbin, China
| | - Lei Shi
- Department of Spine Surgery Changzheng Hospital, Naval Medical University, Shanghai, China
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4
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Vaccination in a humanized mouse model elicits highly protective PfCSP-targeting anti-malarial antibodies. Immunity 2021; 54:2859-2876.e7. [PMID: 34788599 PMCID: PMC9087378 DOI: 10.1016/j.immuni.2021.10.017] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 07/23/2021] [Accepted: 10/20/2021] [Indexed: 12/16/2022]
Abstract
Repeat antigens, such as the Plasmodium falciparum circumsporozoite protein (PfCSP), use both sequence degeneracy and structural diversity to evade the immune response. A few PfCSP-directed antibodies have been identified that are effective at preventing malaria infection, including CIS43, but how these repeat-targeting antibodies might be improved has been unclear. Here, we engineered a humanized mouse model in which B cells expressed inferred human germline CIS43 (iGL-CIS43) B cell receptors and used both vaccination and bioinformatic analysis to obtain variant CIS43 antibodies with improved protective capacity. One such antibody, iGL-CIS43.D3, was significantly more potent than the current best-in-class PfCSP-directed antibody. We found that vaccination with a junctional epitope peptide was more effective than full-length PfCSP at recruiting iGL-CIS43 B cells to germinal centers. Structure-function analysis revealed multiple somatic hypermutations that combinatorically improved protection. This mouse model can thus be used to understand vaccine immunogens and to develop highly potent anti-malarial antibodies.
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5
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Karimzadeh H, Kiraithe MM, Oberhardt V, Salimi Alizei E, Bockmann J, Schulze Zur Wiesch J, Budeus B, Hoffmann D, Wedemeyer H, Cornberg M, Krawczyk A, Rashidi-Alavijeh J, Rodríguez-Frías F, Casillas R, Buti M, Smedile A, Alavian SM, Heinold A, Emmerich F, Panning M, Gostick E, Price DA, Timm J, Hofmann M, Raziorrouh B, Thimme R, Protzer U, Roggendorf M, Neumann-Haefelin C. Mutations in Hepatitis D Virus Allow It to Escape Detection by CD8 + T Cells and Evolve at the Population Level. Gastroenterology 2019; 156:1820-1833. [PMID: 30768983 PMCID: PMC6486497 DOI: 10.1053/j.gastro.2019.02.003] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Revised: 01/16/2019] [Accepted: 02/03/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS Hepatitis D virus (HDV) superinfection in patients with hepatitis B virus (HBV) is associated with rapid progression to liver cirrhosis and hepatocellular carcinoma. Treatment options are limited, and no vaccine is available. Although HDV-specific CD8+ T cells are thought to control the virus, little is known about which HDV epitopes are targeted by virus-specific CD8+ T cells or why these cells ultimately fail to control the infection. We aimed to define how HDV escapes the CD8+ T-cell-mediated response. METHODS We collected plasma and DNA samples from 104 patients with chronic HDV and HBV infection at medical centers in Europe and the Middle East, sequenced HDV, typed human leukocyte antigen (HLA) class I alleles from patients, and searched for polymorphisms in HDV RNA associated with specific HLA class I alleles. We predicted epitopes in HDV that would be recognized by CD8+ T cells and corresponded with the identified virus polymorphisms in patients with resolved (n = 12) or chronic (n = 13) HDV infection. RESULTS We identified 21 polymorphisms in HDV that were significantly associated with specific HLA class I alleles (P < .005). Five of these polymorphisms were found to correspond to epitopes in HDV that are recognized by CD8+ T cells; we confirmed that CD8+ T cells in culture targeted these HDV epitopes. HDV variant peptides were only partially cross-recognized by CD8+ T cells isolated from patients, indicating that the virus had escaped detection by these cells. These newly identified HDV epitopes were restricted by relatively infrequent HLA class I alleles, and they bound most frequently to HLA-B. In contrast, frequent HLA class I alleles were not associated with HDV sequence polymorphisms. CONCLUSIONS We analyzed sequences of HDV RNA and HLA class I alleles that present epitope peptides to CD8+ T cells in patients with persistent HDV infection. We identified polymorphisms in the HDV proteome that associate with HLA class I alleles. Some variant peptides in epitopes from HDV were only partially recognized by CD8+ T cells isolated from patients; these could be mutations that allow HDV to escape the immune response, resulting in persistent infection. HDV escape from the immune response was associated with uncommon HLA class I alleles, indicating that HDV evolves, at the population level, to evade recognition by common HLA class I alleles.
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Affiliation(s)
- Hadi Karimzadeh
- Institute of Virology, School of Medicine, Technical University of Munich/Helmholtz Zentrum München, Munich, Germany; Institute of Virology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany; Department of Internal Medicine II, University Hospital Munich-Grosshadern, Munich, Germany
| | - Muthamia M Kiraithe
- Department of Medicine II, University Hospital Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Valerie Oberhardt
- Department of Medicine II, University Hospital Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany; Faculty of Biology, University of Freiburg, Freiburg, Germany
| | - Elahe Salimi Alizei
- Department of Medicine II, University Hospital Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany; Faculty of Chemistry and Pharmacy, University of Freiburg, Freiburg, Germany
| | - Jan Bockmann
- Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; German Center for Infection Research (DZIF), Sites Hamburg-Lübeck-Borstel-Riems, Hannover-Braunschweig and Munich, Germany
| | - Julian Schulze Zur Wiesch
- Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; German Center for Infection Research (DZIF), Sites Hamburg-Lübeck-Borstel-Riems, Hannover-Braunschweig and Munich, Germany
| | - Bettina Budeus
- Department of Bioinformatics, University of Duisburg-Essen, Essen, Germany
| | - Daniel Hoffmann
- Department of Bioinformatics, University of Duisburg-Essen, Essen, Germany
| | - Heiner Wedemeyer
- German Center for Infection Research (DZIF), Sites Hamburg-Lübeck-Borstel-Riems, Hannover-Braunschweig and Munich, Germany; Department of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, Hannover, Germany; Department of Gastroenterology and Hepatology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Markus Cornberg
- German Center for Infection Research (DZIF), Sites Hamburg-Lübeck-Borstel-Riems, Hannover-Braunschweig and Munich, Germany; Department of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, Hannover, Germany
| | - Adalbert Krawczyk
- Institute of Virology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany; Department of Infectious Diseases, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Jassin Rashidi-Alavijeh
- Department of Gastroenterology and Hepatology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Francisco Rodríguez-Frías
- CIBERehd and Departments of Biochemistry/Microbiology and Hepatology, Vall d'Hebron Hospital, University Autónoma de Barcelona (UAB), Barcelona, Spain
| | - Rosario Casillas
- CIBERehd and Departments of Biochemistry/Microbiology and Hepatology, Vall d'Hebron Hospital, University Autónoma de Barcelona (UAB), Barcelona, Spain
| | - Maria Buti
- CIBERehd and Departments of Biochemistry/Microbiology and Hepatology, Vall d'Hebron Hospital, University Autónoma de Barcelona (UAB), Barcelona, Spain
| | - Antonina Smedile
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Seyed Moayed Alavian
- Baqiyatallah Research Center for Gastroenterology and Liver Diseases, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Andreas Heinold
- Institute of Transfusion Medicine, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Florian Emmerich
- Institute for Transfusion Medicine and Gene Therapy, University Hospital Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Marcus Panning
- Institute of Virology, University Hospital Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Emma Gostick
- Division of Infection and Immunity, Cardiff University School of Medicine, Cardiff, United Kingdom
| | - David A Price
- Division of Infection and Immunity, Cardiff University School of Medicine, Cardiff, United Kingdom
| | - Jörg Timm
- Institute of Virology, Heinrich-Heine-University, University Hospital, Duesseldorf, Germany
| | - Maike Hofmann
- Department of Medicine II, University Hospital Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Bijan Raziorrouh
- Department of Internal Medicine II, University Hospital Munich-Grosshadern, Munich, Germany
| | - Robert Thimme
- Department of Medicine II, University Hospital Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Ulrike Protzer
- Institute of Virology, School of Medicine, Technical University of Munich/Helmholtz Zentrum München, Munich, Germany; German Center for Infection Research (DZIF), Sites Hamburg-Lübeck-Borstel-Riems, Hannover-Braunschweig and Munich, Germany
| | - Michael Roggendorf
- Institute of Virology, School of Medicine, Technical University of Munich/Helmholtz Zentrum München, Munich, Germany; Institute of Virology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany; German Center for Infection Research (DZIF), Sites Hamburg-Lübeck-Borstel-Riems, Hannover-Braunschweig and Munich, Germany.
| | - Christoph Neumann-Haefelin
- Department of Medicine II, University Hospital Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
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6
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Liu Q, Lai YT, Zhang P, Louder MK, Pegu A, Rawi R, Asokan M, Chen X, Shen CH, Chuang GY, Yang ES, Miao H, Wang Y, Fauci AS, Kwong PD, Mascola JR, Lusso P. Improvement of antibody functionality by structure-guided paratope engraftment. Nat Commun 2019; 10:721. [PMID: 30760721 PMCID: PMC6374468 DOI: 10.1038/s41467-019-08658-4] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Accepted: 01/18/2019] [Indexed: 01/19/2023] Open
Abstract
Broadly neutralizing antibodies (bNAbs) represent a promising alternative to antiretroviral drugs for HIV-1 prevention and treatment. Selected antibodies to the CD4-binding site bolster envelope trimer binding via quaternary contacts. Here, we rationally engraft a new paratope, i.e., the extended heavy-chain framework region 3 (FR3) loop of VRC03, which mediates quaternary interaction, onto several potent bNAbs, enabling them to reach an adjacent gp120 protomer. The interactive quaternary surface is delineated by solving the crystal structure of two FR3 loop-chimeric antibodies. Chimerization enhances the neutralizing activity of several potent bNAbs against a majority of global HIV-1 strains. Compared to unmodified antibodies, chimeric antibodies display lower autoreactivity and prolonged in vivo half-life in huFcRn mice and rhesus macaques. Thus, paratope engraftment may be used to expand the epitope repertory of natural antibodies, improving their functionality for disease prevention and treatment. Quaternary contacts mediated by an extended heavy-chain framework region 3 (FR3) have been shown to improve binding to HIV envelope and virus neutralization for a few antibodies. Here, Liu et al. engraft such an FR3 loop onto several potent broadly neutralizing antibodies, resulting in improved neutralization activity and pharmacokinetics.
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Affiliation(s)
- Qingbo Liu
- Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, 20892, USA
| | - Yen-Ting Lai
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, 20892, USA
| | - Peng Zhang
- Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, 20892, USA
| | - Mark K Louder
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, 20892, USA
| | - Amarendra Pegu
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, 20892, USA
| | - Reda Rawi
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, 20892, USA
| | - Mangaiarkarasi Asokan
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, 20892, USA
| | - Xuejun Chen
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, 20892, USA
| | - Chen-Hsiang Shen
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, 20892, USA
| | - Gwo-Yu Chuang
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, 20892, USA
| | - Eun Sung Yang
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, 20892, USA
| | - Huiyi Miao
- Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, 20892, USA
| | - Yuge Wang
- Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, 20892, USA
| | - Anthony S Fauci
- Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, 20892, USA
| | - Peter D Kwong
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, 20892, USA
| | - John R Mascola
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, 20892, USA
| | - Paolo Lusso
- Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, 20892, USA.
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7
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Xia Y, Pan W, Ke X, Skibbe K, Walker A, Hoffmann D, Lu Y, Yang X, Feng X, Tong Q, Timm J, Yang D. Differential escape of HCV from CD8 + T cell selection pressure between China and Germany depends on the presenting HLA class I molecule. J Viral Hepat 2019; 26:73-82. [PMID: 30260541 PMCID: PMC7379502 DOI: 10.1111/jvh.13011] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2018] [Accepted: 09/07/2018] [Indexed: 12/16/2022]
Abstract
Adaptation of hepatitis C virus (HCV) to CD8+ T cell selection pressure is well described; however, it is unclear if HCV differentially adapts in different populations. Here, we studied HLA class I-associated viral sequence polymorphisms in HCV 1b isolates in a Chinese population and compared viral substitution patterns between Chinese and German populations. We identified three HLA class I-restricted epitopes in HCV NS3 with statistical support for selection pressure and found evidence for differential escape pathways between isolates from China and Germany depending on the HLA class I molecule. The substitution patterns particularly differed in the epitope VTLTHPITK1635-1643 , which was presented by HLA-A*03 as well as HLA-A*11, two alleles with highly different frequencies in the two populations. In Germany, a substitution in position seven of the epitope was the most frequent substitution in the presence of HLA-A*03, functionally associated with immune escape and nearly absent in Chinese isolates. In contrast, the most frequent substitution in China was located at position two of the epitope and became the predominant consensus residue. Moreover, substitutions in position one of the epitope were significantly enriched in HLA-A*11-positive individuals in China and associated with different patterns of CD8+ T cell reactivity. Our study confirms the differential escape pathways selected by HCV that depended on different HLA class I alleles in Chinese and German populations, indicating that HCV differentially adapts to distinct HLA class I alleles in these populations. This result has important implications for vaccine design against highly variable and globally distributed pathogens, which may require matching antigen sequences to geographic regions for T cell-based vaccine strategies.
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Affiliation(s)
- Youchen Xia
- Department of Infectious DiseasesUnion Hospital of Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina,Department of Gastroenterology and HepatologyShanghai General HospitalShanghai Jiao Tong University School of Medicine (originally named “Shanghai First People's Hospital”)ShanghaiChina
| | - Wen Pan
- Department of Infectious DiseasesUnion Hospital of Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Xiaoyu Ke
- Department of Infectious DiseasesUnion Hospital of Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina,Department of EmergencyTongji Hospital of Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Kathrin Skibbe
- Institute of VirologyUniversity Hospital DüsseldorfHeinrich‐Heine‐UniversityDüsseldorfGermany
| | - Andreas Walker
- Institute of VirologyUniversity Hospital DüsseldorfHeinrich‐Heine‐UniversityDüsseldorfGermany
| | - Daniel Hoffmann
- Bioinformatics and Computational BiophysicsFaculty of BiologyUniversity of Duisburg‐EssenEssenGermany
| | - Yinping Lu
- Department of Infectious DiseasesUnion Hospital of Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Xuecheng Yang
- Department of Infectious DiseasesUnion Hospital of Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Xuemei Feng
- Department of Infectious DiseasesUnion Hospital of Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Qiaoxia Tong
- Department of Infectious DiseasesUnion Hospital of Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Jörg Timm
- Institute of VirologyUniversity Hospital DüsseldorfHeinrich‐Heine‐UniversityDüsseldorfGermany
| | - Dongliang Yang
- Department of Infectious DiseasesUnion Hospital of Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
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8
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Dingens AS, Acharya P, Haddox HK, Rawi R, Xu K, Chuang GY, Wei H, Zhang B, Mascola JR, Carragher B, Potter CS, Overbaugh J, Kwong PD, Bloom JD. Complete functional mapping of infection- and vaccine-elicited antibodies against the fusion peptide of HIV. PLoS Pathog 2018; 14:e1007159. [PMID: 29975771 PMCID: PMC6049957 DOI: 10.1371/journal.ppat.1007159] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Revised: 07/17/2018] [Accepted: 06/15/2018] [Indexed: 11/19/2022] Open
Abstract
Eliciting broadly neutralizing antibodies (bnAbs) targeting envelope (Env) is a major goal of HIV vaccine development, but cross-clade breadth from immunization has only sporadically been observed. Recently, Xu et al (2018) elicited cross-reactive neutralizing antibody responses in a variety of animal models using immunogens based on the epitope of bnAb VRC34.01. The VRC34.01 antibody, which was elicited by natural human infection, targets the N terminus of the Env fusion peptide, a critical component of the virus entry machinery. Here we precisely characterize the functional epitopes of VRC34.01 and two vaccine-elicited murine antibodies by mapping all single amino-acid mutations to the BG505 Env that affect viral neutralization. While escape from VRC34.01 occurred via mutations in both fusion peptide and distal interacting sites of the Env trimer, escape from the vaccine-elicited antibodies was mediated predominantly by mutations in the fusion peptide. Cryo-electron microscopy of four vaccine-elicited antibodies in complex with Env trimer revealed focused recognition of the fusion peptide and provided a structural basis for development of neutralization breadth. Together, these functional and structural data suggest that the breadth of vaccine-elicited antibodies targeting the fusion peptide can be enhanced by specific interactions with additional portions of Env. Thus, our complete maps of viral escape both delineate pathways of resistance to these fusion peptide-directed antibodies and provide a strategy to improve the breadth or potency of future vaccine-induced antibodies against Env’s fusion peptide. A major goal of HIV-1 vaccine design is to elicit antibodies that neutralize diverse strains of HIV-1. Recently, some of us elicited such antibodies in animal models using immunogens based on the epitope of a broad antibody (VRC34.01) isolated from an infected individual. Further improving these vaccine-elicited antibody responses will require a detailed understanding of how the resulting antibodies target HIV’s envelope protein (Env). Here, we used mutational antigenic profiling to precisely map the epitopes of two vaccine-elicited antibodies and the template VRC34.01 antibody. We did this by quantifying the effect of all possible amino acid mutations to Env on antibody neutralization. Although all antibodies target a similar region of Env, we found clear differences in the functional interaction of Env with these vaccine- and infection-elicited antibodies. We combined these functional data with structural analyses to identify antibody–Env interactions that may contribute to the relatively greater breadth of the infection-elicited antibody and could improve the breadth of vaccine-elicited antibodies. These data thereby help to refine vaccination schemes to achieve broader responses.
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Affiliation(s)
- Adam S. Dingens
- Basic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- Molecular and Cellular Biology PhD program, University of Washington, Seattle, Washington, United States of America
- Division of Human Biology and Epidemiology Program, Seattle, Washington, United States of America
| | - Priyamvada Acharya
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, United States of America
- National Resource for Automated Molecular Microscopy, Simons Electron Microscopy Center, New York Structural Biology Center, New York, New York, United States of America
| | - Hugh K. Haddox
- Basic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- Molecular and Cellular Biology PhD program, University of Washington, Seattle, Washington, United States of America
| | - Reda Rawi
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Kai Xu
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Gwo-Yu Chuang
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Hui Wei
- National Resource for Automated Molecular Microscopy, Simons Electron Microscopy Center, New York Structural Biology Center, New York, New York, United States of America
| | - Baoshan Zhang
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, United States of America
| | - John R. Mascola
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Bridget Carragher
- National Resource for Automated Molecular Microscopy, Simons Electron Microscopy Center, New York Structural Biology Center, New York, New York, United States of America
| | - Clinton S. Potter
- National Resource for Automated Molecular Microscopy, Simons Electron Microscopy Center, New York Structural Biology Center, New York, New York, United States of America
| | - Julie Overbaugh
- Division of Human Biology and Epidemiology Program, Seattle, Washington, United States of America
| | - Peter D. Kwong
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, United States of America
- * E-mail: (PDK); (JDB)
| | - Jesse D. Bloom
- Basic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- * E-mail: (PDK); (JDB)
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Genotypic Prediction of Co-receptor Tropism of HIV-1 Subtypes A and C. Sci Rep 2016; 6:24883. [PMID: 27126912 PMCID: PMC4850382 DOI: 10.1038/srep24883] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2016] [Accepted: 04/07/2016] [Indexed: 02/06/2023] Open
Abstract
Antiretroviral treatment of Human Immunodeficiency Virus type-1 (HIV-1) infections with CCR5-antagonists requires the co-receptor usage prediction of viral strains. Currently available tools are mostly designed based on subtype B strains and thus are in general not applicable to non-B subtypes. However, HIV-1 infections caused by subtype B only account for approximately 11% of infections worldwide. We evaluated the performance of several sequence-based algorithms for co-receptor usage prediction employed on subtype A V3 sequences including circulating recombinant forms (CRFs) and subtype C strains. We further analysed sequence profiles of gp120 regions of subtype A, B and C to explore functional relationships to entry phenotypes. Our analyses clearly demonstrate that state-of-the-art algorithms are not useful for predicting co-receptor tropism of subtype A and its CRFs. Sequence profile analysis of gp120 revealed molecular variability in subtype A viruses. Especially, the V2 loop region could be associated with co-receptor tropism, which might indicate a unique pattern that determines co-receptor tropism in subtype A strains compared to subtype B and C strains. Thus, our study demonstrates that there is a need for the development of novel algorithms facilitating tropism prediction of HIV-1 subtype A to improve effective antiretroviral treatment in patients.
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