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Nilchan N, Kraivong R, Luangaram P, Phungsom A, Tantiwatcharakunthon M, Traewachiwiphak S, Prommool T, Punyadee N, Avirutnan P, Duangchinda T, Malasit P, Puttikhunt C. An Engineered N-Glycosylated Dengue Envelope Protein Domain III Facilitates Epitope-Directed Selection of Potently Neutralizing and Minimally Enhancing Antibodies. ACS Infect Dis 2024; 10:2690-2704. [PMID: 38943594 PMCID: PMC11320570 DOI: 10.1021/acsinfecdis.4c00058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 06/20/2024] [Accepted: 06/21/2024] [Indexed: 07/01/2024]
Abstract
The envelope protein of dengue virus (DENV) is a primary target of the humoral immune response. The domain III of the DENV envelope protein (EDIII) is known to be the target of multiple potently neutralizing antibodies. One such antibody is 3H5, a mouse antibody that binds strongly to EDIII and potently neutralizes DENV serotype 2 (DENV-2) with unusually minimal antibody-dependent enhancement (ADE). To selectively display the binding epitope of 3H5, we strategically modified DENV-2 EDIII by shielding other known epitopes with engineered N-glycosylation sites. The modifications resulted in a glycosylated EDIII antigen termed "EDIII mutant N". This antigen was successfully used to sift through a dengue-immune scFv-phage library to select for scFv antibodies that bind to or closely surround the 3H5 epitope. The selected scFv antibodies were expressed as full-length human antibodies and showed potent neutralization activity to DENV-2 with low or negligible ADE resembling 3H5. These findings not only demonstrate the capability of the N-glycosylated EDIII mutant N as a tool to drive an epitope-directed antibody selection campaign but also highlight its potential as a dengue immunogen. This glycosylated antigen shows promise in focusing the antibody response toward a potently neutralizing epitope while reducing the risk of antibody-dependent enhancement.
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Affiliation(s)
- Napon Nilchan
- Molecular
Biology of Dengue and Flaviviruses Research Team, Medical Molecular
Biotechnology Research Group National Science
and Technology Development Agency (NSTDA), Pathum Thani 12120, Thailand
- Siriraj
Center of Research Excellence in Dengue and Emerging Pathogens Mahidol University, Bangkok 10700, Thailand
| | - Romchat Kraivong
- Molecular
Biology of Dengue and Flaviviruses Research Team, Medical Molecular
Biotechnology Research Group National Science
and Technology Development Agency (NSTDA), Pathum Thani 12120, Thailand
- Siriraj
Center of Research Excellence in Dengue and Emerging Pathogens Mahidol University, Bangkok 10700, Thailand
| | - Prasit Luangaram
- Molecular
Biology of Dengue and Flaviviruses Research Team, Medical Molecular
Biotechnology Research Group National Science
and Technology Development Agency (NSTDA), Pathum Thani 12120, Thailand
- Siriraj
Center of Research Excellence in Dengue and Emerging Pathogens Mahidol University, Bangkok 10700, Thailand
| | - Anunyaporn Phungsom
- Molecular
Biology of Dengue and Flaviviruses Research Team, Medical Molecular
Biotechnology Research Group National Science
and Technology Development Agency (NSTDA), Pathum Thani 12120, Thailand
- Siriraj
Center of Research Excellence in Dengue and Emerging Pathogens Mahidol University, Bangkok 10700, Thailand
| | - Mongkhonphan Tantiwatcharakunthon
- Molecular
Biology of Dengue and Flaviviruses Research Team, Medical Molecular
Biotechnology Research Group National Science
and Technology Development Agency (NSTDA), Pathum Thani 12120, Thailand
- Siriraj
Center of Research Excellence in Dengue and Emerging Pathogens Mahidol University, Bangkok 10700, Thailand
| | - Somchoke Traewachiwiphak
- Molecular
Biology of Dengue and Flaviviruses Research Team, Medical Molecular
Biotechnology Research Group National Science
and Technology Development Agency (NSTDA), Pathum Thani 12120, Thailand
- Siriraj
Center of Research Excellence in Dengue and Emerging Pathogens Mahidol University, Bangkok 10700, Thailand
| | - Tanapan Prommool
- Molecular
Biology of Dengue and Flaviviruses Research Team, Medical Molecular
Biotechnology Research Group National Science
and Technology Development Agency (NSTDA), Pathum Thani 12120, Thailand
- Siriraj
Center of Research Excellence in Dengue and Emerging Pathogens Mahidol University, Bangkok 10700, Thailand
| | - Nuntaya Punyadee
- Siriraj
Center of Research Excellence in Dengue and Emerging Pathogens Mahidol University, Bangkok 10700, Thailand
- Division
of Dengue Hemorrhagic Fever Research, Faculty of Medicine Siriraj
Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Panisadee Avirutnan
- Siriraj
Center of Research Excellence in Dengue and Emerging Pathogens Mahidol University, Bangkok 10700, Thailand
- Division
of Dengue Hemorrhagic Fever Research, Faculty of Medicine Siriraj
Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Thaneeya Duangchinda
- Molecular
Biology of Dengue and Flaviviruses Research Team, Medical Molecular
Biotechnology Research Group National Science
and Technology Development Agency (NSTDA), Pathum Thani 12120, Thailand
- Medical
Biotechnology Research Unit, National Center for Genetic Engineering
and Biotechnology (BIOTEC), National Science
and Technology Development Agency (NSTDA), Pathum Thani 12120, Thailand
| | - Prida Malasit
- Molecular
Biology of Dengue and Flaviviruses Research Team, Medical Molecular
Biotechnology Research Group National Science
and Technology Development Agency (NSTDA), Pathum Thani 12120, Thailand
- Siriraj
Center of Research Excellence in Dengue and Emerging Pathogens Mahidol University, Bangkok 10700, Thailand
- Division
of Dengue Hemorrhagic Fever Research, Faculty of Medicine Siriraj
Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Chunya Puttikhunt
- Molecular
Biology of Dengue and Flaviviruses Research Team, Medical Molecular
Biotechnology Research Group National Science
and Technology Development Agency (NSTDA), Pathum Thani 12120, Thailand
- Medical
Biotechnology Research Unit, National Center for Genetic Engineering
and Biotechnology (BIOTEC), National Science
and Technology Development Agency (NSTDA), Pathum Thani 12120, Thailand
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2
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Natsrita P, Charoenkwan P, Shoombuatong W, Mahalapbutr P, Faksri K, Chareonsudjai S, Rungrotmongkol T, Pipattanaboon C. Machine-learning-assisted high-throughput identification of potent and stable neutralizing antibodies against all four dengue virus serotypes. Sci Rep 2024; 14:17165. [PMID: 39060292 PMCID: PMC11282219 DOI: 10.1038/s41598-024-67487-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 07/11/2024] [Indexed: 07/28/2024] Open
Abstract
Several computational methods have been developed to identify neutralizing antibodies (NAbs) covering four dengue virus serotypes (DENV-1 to DENV-4); however, limitations of the dataset and the resulting performance remain. Here, we developed a new computational framework to predict potent and stable NAbs against DENV-1 to DENV-4 using only antibody (CDR-H3) and epitope sequences as input. Specifically, our proposed computational framework employed sequence-based ML and molecular dynamic simulation (MD) methods to achieve more accurate identification. First, we built a novel dataset (n = 1108) by compiling the interactions of CDR-H3 and epitope sequences with the half maximum inhibitory concentration (IC50) values, which represent neutralizing activities. Second, we achieved an accurately predictive ML model that showed high AUC values of 0.879 and 0.885 by tenfold cross-validation and independent tests, respectively. Finally, our computational framework could be applied to filter approximately 2.5 million unseen antibodies into two final candidates that showed strong and stable binding to all four serotypes. In addition, the most potent and stable candidate (1B3B9_V21) was evaluated for its development potential as a therapeutic agent by molecular docking and MD simulations. This study provides an antibody computational approach to facilitate the high-throughput identification of NAbs and accelerate the development of therapeutic antibodies.
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Affiliation(s)
- Piyatida Natsrita
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, 40002, Thailand
| | - Phasit Charoenkwan
- Modern Management and Information Technology, College of Arts, Media and Technology, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Watshara Shoombuatong
- Center for Research Innovation and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok, 10700, Thailand
| | - Panupong Mahalapbutr
- Department of Biochemistry, Faculty of Medicine, Khon Kaen University, Khon Kaen, 40002, Thailand
| | - Kiatichai Faksri
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, 40002, Thailand
- Research and Diagnostic Center for Emerging Infectious Diseases, Khon Kaen University, Khon Kaen, 40002, Thailand
| | - Sorujsiri Chareonsudjai
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, 40002, Thailand
| | - Thanyada Rungrotmongkol
- Center of Excellent in Biocatalyst and Sustainable Biotechnology, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Chonlatip Pipattanaboon
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, 40002, Thailand.
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3
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González-Lodeiro LG, Martín Dunn A, Martín Prieto D, Medina-Carrasco D, García de Castro LE, Maldonado Bauzá D, Chinea Santiago G, Huerta Galindo V. Dominant epitopes of cross-reactive anti-domain III human antibody response change from early to late convalescence of infection with dengue virus. J Med Virol 2024; 96:e29443. [PMID: 38373154 DOI: 10.1002/jmv.29443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 12/15/2023] [Accepted: 01/02/2024] [Indexed: 02/21/2024]
Abstract
Cross-neutralizing activity of human antibody response against Dengue virus complex (DENV) changes importantly over time. Domain III (DIII) of the envelope protein of DENV elicits a potently neutralizing and mostly type-specific IgG response. We used sera from 24 individuals from early- or late convalescence of DENV1 infection to investigate the evolution of anti-DIII human IgG with the time lapse since the infection. We evaluated the correlation between the serotype-specific reactivity against recombinant DIII proteins and the neutralization capacity against the four serotypes, and examined its behavior with the time of convalescence. Also, we use a library of 71 alanine mutants of surface-exposed amino acid residues to investigate the dominant epitopes. In early convalescence anti-DIII titers and potency of virus neutralization were positively associated with correlation coefficients from 0.82 to 1.0 for the four serotypes. For late convalescence, a positive correlation (r = 0.69) was found only for DENV1. The dominant epitope of the type-specific response is centered in the FG-loop (G383, E384, and K385) and includes most of the lateral ridge. The dominant epitope of the anti-DIII cross-reactive IgG in secondary infections shifts from the A-strand during early convalescence to a site centered in residues E314-H317 of the AB-loop and I352-E368 of the DI/DIII interface, in late convalescence. An immunoassay based on the detection of IgG anti-DIII response can be implemented for detection of infecting serotype in diagnosis of DENV infection, either primary or secondary. Human dominant epitopes of the cross-reactive circulating antibodies change with time of convalescence.
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Affiliation(s)
| | - Alejandro Martín Dunn
- Department of Systems Biology, Biomedical Research, Center for Genetic Engineering and Biotechnology, Havana, Cuba
| | - Dayron Martín Prieto
- Department of Systems Biology, Biomedical Research, Center for Genetic Engineering and Biotechnology, Havana, Cuba
| | - Danya Medina-Carrasco
- Department of Systems Biology, Biomedical Research, Center for Genetic Engineering and Biotechnology, Havana, Cuba
| | | | - Daniela Maldonado Bauzá
- Department of Systems Biology, Biomedical Research, Center for Genetic Engineering and Biotechnology, Havana, Cuba
- Faculty of Biology student, University of Havana, Havana, Cuba
| | - Glay Chinea Santiago
- Department of Systems Biology, Biomedical Research, Center for Genetic Engineering and Biotechnology, Havana, Cuba
| | - Vivian Huerta Galindo
- Department of Systems Biology, Biomedical Research, Center for Genetic Engineering and Biotechnology, Havana, Cuba
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4
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Medina-Carrasco D, Pupo D, González-Lodeiro LG, García LE, Martin AM, Huerta V. Activity of domain III-specific antibodies in early convalescence: A case study. Virology 2023; 587:109883. [PMID: 37757730 DOI: 10.1016/j.virol.2023.109883] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 08/15/2023] [Accepted: 09/06/2023] [Indexed: 09/29/2023]
Abstract
The Dengue virus complex (DENV), formed by four serotypes, constitutes the most important arbovirus affecting humans. The structural domain III of their envelope protein (DIII) elicits strongly neutralizing serotype-specific antibodies. Contrasting results have been obtained regarding their role in the serum neutralizing activity of infected patients. We used a DENV immune serum from a secondary infection to examine the impact of characterizing the anti-DIII antibody response after affinity purification with recombinant DIII proteins to eliminate potential interferences from the interactions with human plasma proteins and other anti-DENV antibodies. Total anti-DENV IgG repertoire and anti-DIIIE antibodies were compared in functionality. In early convalescence, reactivity of anti-DIII antibodies is serotype specific and exhibits the strongest reactivity with infecting serotypes. Purification of anti-DIII antibodies emphasizes the reactivity profile as compared to total IgG fraction and serum. Serotype-specificity of the virus neutralization activity correlated with the apparent kD of the binding to recombinant DIIIs.
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Affiliation(s)
- Danya Medina-Carrasco
- Department of Systems Biology, Biomedical Research Direction, Center for Genetic Engineering and Biotechnology (CIGB), Havana, Cuba
| | - Dianne Pupo
- Department of Systems Biology, Biomedical Research Direction, Center for Genetic Engineering and Biotechnology (CIGB), Havana, Cuba
| | - Luis G González-Lodeiro
- Department of Systems Biology, Biomedical Research Direction, Center for Genetic Engineering and Biotechnology (CIGB), Havana, Cuba
| | - Lisandra E García
- Department of Systems Biology, Biomedical Research Direction, Center for Genetic Engineering and Biotechnology (CIGB), Havana, Cuba
| | - Alejandro M Martin
- Department of Systems Biology, Biomedical Research Direction, Center for Genetic Engineering and Biotechnology (CIGB), Havana, Cuba
| | - Vivian Huerta
- Department of Systems Biology, Biomedical Research Direction, Center for Genetic Engineering and Biotechnology (CIGB), Havana, Cuba.
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5
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Pannala VR, Nguyen HD, Wallqvist A. A stochastic B cell affinity maturation model to characterize mechanisms of protection for tetravalent dengue vaccine constructs. Front Mol Biosci 2023; 10:1100434. [PMID: 37520320 PMCID: PMC10375700 DOI: 10.3389/fmolb.2023.1100434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 07/05/2023] [Indexed: 08/01/2023] Open
Abstract
Dengue annually infects millions of people from a regionally and seasonally varying dengue virus population circulating as four distinct serotypes. Effective protection against dengue infection and disease requires tetravalent vaccine formulations to stimulate a balanced protective immune response to all four serotypes. However, this has been a challenge to achieve, and several clinical trials with different leading vaccine candidates have demonstrated unbalanced replication and interference of interindividual serotype components, leading to low efficacy and enhanced disease severity for dengue-naïve populations. Production of serotype-specific neutralizing antibodies is largely viewed as a correlate of protection against severe dengue disease. However, the underlying mechanisms that lead to these protective immune responses are not clearly elucidated. In this work, using a stochastic model of B cell affinity maturation, we tested different live-attenuated vaccine constructs with varied viral replication rates and contrasted the initiation and progress of adaptive immune responses during tetravalent vaccination and after dengue virus challenge. Comparison of our model simulations across different disease-severity levels suggested that individual production of high levels of serotype-specific antibodies together with a lower cross-reactive antibody are better correlates for protection. Furthermore, evolution of these serotype-specific antibodies was dependent on the percent of viral attenuation in the vaccine, and production of initial B cell and T cell populations pre- and post-secondary dengue infection was crucial in providing protective immunity for dengue-naïve populations. Furthermore, contrasting disease severity with respect to different dengue serotypes, our model simulations showed that tetravalent vaccines fare better against DENV-4 serotype when compared to other serotypes.
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Affiliation(s)
- Venkat R. Pannala
- Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Development Command, Frederick, MD, United States
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States
| | - Hung D. Nguyen
- Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Development Command, Frederick, MD, United States
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States
| | - Anders Wallqvist
- Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Development Command, Frederick, MD, United States
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6
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Huang AT, Salje H, Escoto AC, Chowdhury N, Chávez C, Garcia-Carreras B, Rutvisuttinunt W, Maljkovic Berry I, Gromowski GD, Wang L, Klungthong C, Thaisomboonsuk B, Nisalak A, Trimmer-Smith LM, Rodriguez-Barraquer I, Ellison DW, Jones AR, Fernandez S, Thomas SJ, Smith DJ, Jarman R, Whitehead SS, Cummings DAT, Katzelnick LC. Beneath the surface: Amino acid variation underlying two decades of dengue virus antigenic dynamics in Bangkok, Thailand. PLoS Pathog 2022; 18:e1010500. [PMID: 35500035 PMCID: PMC9098070 DOI: 10.1371/journal.ppat.1010500] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 05/12/2022] [Accepted: 04/05/2022] [Indexed: 11/19/2022] Open
Abstract
Neutralizing antibodies are important correlates of protection against dengue. Yet, determinants of variation in neutralization across strains within the four dengue virus serotypes (DENV1-4) is imperfectly understood. Studies focus on structural DENV proteins, especially the envelope (E), the primary target of anti-DENV antibodies. Although changes in immune recognition (antigenicity) are often attributed to variation in epitope residues, viral processes influencing conformation and epitope accessibility also affect neutralizability, suggesting possible modulating roles of nonstructural proteins. We estimated effects of residue changes in all 10 DENV proteins on antigenic distances between 348 DENV collected from individuals living in Bangkok, Thailand (1994-2014). Antigenic distances were derived from response of each virus to a panel of twenty non-human primate antisera. Across 100 estimations, excluding 10% of virus pairs each time, 77 of 295 positions with residue variability in E consistently conferred antigenic effects; 52 were within ±3 sites of known binding sites of neutralizing human monoclonal antibodies, exceeding expectations from random assignments of effects to sites (p = 0.037). Effects were also identified for 16 sites on the stem/anchor of E which were only recently shown to become exposed under physiological conditions. For all proteins, except nonstructural protein 2A (NS2A), root-mean-squared-error (RMSE) in predicting distances between pairs held out in each estimation did not outperform sequences of equal length derived from all proteins or E, suggesting that antigenic signals present were likely through linkage with E. Adjusted for E, we identified 62/219 sites embedding the excess signals in NS2A. Concatenating these sites to E additionally explained 3.4% to 4.0% of observed variance in antigenic distances compared to E alone (50.5% to 50.8%); RMSE outperformed concatenating E with sites from any protein of the virus (ΔRMSE, 95%IQR: 0.01, 0.05). Our results support examining antigenic determinants beyond the DENV surface. Dengue viruses, even of the same serotype, are differentially recognized by preexisting antibodies of individuals. With antibody levels being an important indicator of infection risk and pathogenicity, understanding mechanisms underlying these differences are crucial for vaccine design and development. Investigations have primarily targeted surface regions of the envelope protein (E) where virus-antibody interactions were thought to primarily occur. However, the roles of non-surface regions of the E protein as well as nonstructural proteins has been limited. We looked at the entire virus to identify associations between specific changes in the protein sequence and differences in how viruses were recognized by antibodies. In addition to recovering known determinants on the surface, we found signals in other areas on the structural building blocks of the virus. We also identified additional signals on specific areas of a protein that does not form structures of the virus but orchestrate virus formation. Our results point towards broadening the frame of investigation to gain a more comprehensive understanding of mechanisms giving rise to antibody recognition of dengue viruses, and may aid the design and evaluation of vaccines and/or assays to characterize dengue immunity.
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Affiliation(s)
- Angkana T. Huang
- Department of Biology and Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America
- Department of Virology, Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
| | - Henrik Salje
- Department of Biology and Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America
- Department of Genetics, University of Cambridge, Cambridge, United Kingdom
| | - Ana Coello Escoto
- Department of Biology and Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America
- Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Nayeem Chowdhury
- Department of Biology and Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America
| | - Christian Chávez
- Department of Biology and Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America
| | - Bernardo Garcia-Carreras
- Department of Biology and Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America
| | - Wiriya Rutvisuttinunt
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America
| | - Irina Maljkovic Berry
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America
| | - Gregory D. Gromowski
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America
| | - Lin Wang
- Department of Genetics, University of Cambridge, Cambridge, United Kingdom
| | - Chonticha Klungthong
- Department of Virology, Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
| | - Butsaya Thaisomboonsuk
- Department of Virology, Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
| | - Ananda Nisalak
- Department of Virology, Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
| | - Luke M. Trimmer-Smith
- Department of Biology and Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America
| | - Isabel Rodriguez-Barraquer
- School of Medicine, University of California, San Francisco, San Francisco, California, United States of America
| | - Damon W. Ellison
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America
| | - Anthony R. Jones
- Department of Virology, Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
| | - Stefan Fernandez
- Department of Virology, Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
| | - Stephen J. Thomas
- State University of New York Upstate Medical University, Syracuse, New York, United States of America
| | - Derek J. Smith
- Department of Zoology, University of Cambridge, Cambridge, United Kingdom
| | - Richard Jarman
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America
| | - Stephen S. Whitehead
- Laboratory of Viral Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Derek A. T. Cummings
- Department of Biology and Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America
- * E-mail: (DATC); (LCK)
| | - Leah C. Katzelnick
- Department of Biology and Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America
- Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, United States of America
- * E-mail: (DATC); (LCK)
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7
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Nguyen HD, Chaudhury S, Waickman AT, Friberg H, Currier JR, Wallqvist A. Stochastic Model of the Adaptive Immune Response Predicts Disease Severity and Captures Enhanced Cross-Reactivity in Natural Dengue Infections. Front Immunol 2021; 12:696755. [PMID: 34484195 PMCID: PMC8416063 DOI: 10.3389/fimmu.2021.696755] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Accepted: 07/26/2021] [Indexed: 11/13/2022] Open
Abstract
The dengue virus circulates as four distinct serotypes, where a single serotype infection is typically asymptomatic and leads to acquired immunity against that serotype. However, the developed immunity to one serotype is thought to underlie the severe manifestation of the disease observed in subsequent infections from a different serotype. We developed a stochastic model of the adaptive immune response to dengue infections. We first delineated the mechanisms initiating and sustaining adaptive immune responses during primary infections. We then contrasted these immune responses during secondary infections of either a homotypic or heterotypic serotype to understand the role of pre-existing and reactivated immune pathways on disease severity. Comparison of non-symptomatic and severe cases from heterotypic infections demonstrated that overproduction of specific antibodies during primary infection induces an enhanced population of cross-reactive antibodies during secondary infection, ultimately leading to severe disease manifestations. In addition, the level of disease severity was found to correlate with immune response kinetics, which was dependent on beginning lymphocyte levels. Our results detail the contribution of specific lymphocytes and antibodies to immunity and memory recall that lead to either protective or pathological outcomes, allowing for the understanding and determination of mechanisms of protective immunity.
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Affiliation(s)
- Hung D Nguyen
- Biotechnology High Performance Computing (HPC) Software Applications Institute, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Development Command, Fort Detrick, MD, United States.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
| | - Sidhartha Chaudhury
- Center for Enabling Capabilities, Walter Reed Army Institute of Research, Silver Spring, MD, United States
| | - Adam T Waickman
- Department of Microbiology and Immunology, State University of New York Upstate Medical University, Syracuse, NY, United States
| | - Heather Friberg
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States
| | - Jeffrey R Currier
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States
| | - Anders Wallqvist
- Biotechnology High Performance Computing (HPC) Software Applications Institute, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Development Command, Fort Detrick, MD, United States
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8
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Wilken L, Rimmelzwaan GF. Adaptive Immunity to Dengue Virus: Slippery Slope or Solid Ground for Rational Vaccine Design? Pathogens 2020; 9:pathogens9060470. [PMID: 32549226 PMCID: PMC7350362 DOI: 10.3390/pathogens9060470] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 06/11/2020] [Accepted: 06/12/2020] [Indexed: 12/15/2022] Open
Abstract
The four serotypes of dengue virus are the most widespread causes of arboviral disease, currently placing half of the human population at risk of infection. Pre-existing immunity to one dengue virus serotype can predispose to severe disease following secondary infection with a different serotype. The phenomenon of immune enhancement has complicated vaccine development and likely explains the poor long-term safety profile of a recently licenced dengue vaccine. Therefore, alternative vaccine strategies should be considered. This review summarises studies dissecting the adaptive immune responses to dengue virus infection and (experimental) vaccination. In particular, we discuss the roles of (i) neutralising antibodies, (ii) antibodies to non-structural protein 1, and (iii) T cells in protection and pathogenesis. We also address how these findings could translate into next-generation vaccine approaches that mitigate the risk of enhanced dengue disease. Finally, we argue that the development of a safe and efficacious dengue vaccine is an attainable goal.
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9
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Dwivedi VD, Arya A, Yadav P, Kumar R, Kumar V, Raghava GPS. DenvInD: dengue virus inhibitors database for clinical and molecular research. Brief Bioinform 2020; 22:5854403. [PMID: 32510549 DOI: 10.1093/bib/bbaa098] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 04/30/2020] [Accepted: 05/01/2020] [Indexed: 12/28/2022] Open
Abstract
Dengue virus (DENV) researchers often face challenges with the highly time-consuming process of collecting and curating information on known inhibitors during the standard drug discovery process. To this end, however, required collective information is not yet available on a single platform. Hence, we have developed the DenvInD database for experimentally validated DENV inhibitors against its known targets presently hosted at https://webs.iiitd.edu.in/raghava/denvind/. This database provides comprehensive information, i.e. PubChem IDs, SMILES, IC50, EC50, CC50, and wherever available Ki values of the 484 compounds in vitro validated as inhibitors against respective drug targets of DENV. Also, the DenvInD database has been linked to the user-friendly web-based interface and accessibility features, such as simple search, advanced search and data browsing. All the required data curation was conducted manually from the reported scientific literature and PubChem. The collected information was then organized into the DenvInD database using sequence query language under user interface by hypertext markup language. DenvInD is the first useful repository of its kind which would augment the DENV drug discovery research by providing essential information on known DENV inhibitors for molecular docking, computational screening, pharmacophore modeling and quantitative structure-activity relationship modeling.
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10
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Swanstrom JA, Nivarthi UK, Patel B, Delacruz MJ, Yount B, Widman DG, Durbin AP, Whitehead SS, De Silva AM, Baric RS. Beyond Neutralizing Antibody Levels: The Epitope Specificity of Antibodies Induced by National Institutes of Health Monovalent Dengue Virus Vaccines. J Infect Dis 2020; 220:219-227. [PMID: 30895307 PMCID: PMC6581895 DOI: 10.1093/infdis/jiz109] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Accepted: 03/19/2019] [Indexed: 11/24/2022] Open
Abstract
Background Dengue virus is an emerging mosquito-borne flavivirus responsible for considerable morbidity and mortality worldwide. The Division of Intramural Research, National Institute of Allergy and Infectious Diseases of the US National Institutes of Health (NIH) has developed live attenuated vaccines to each of the 4 serotypes of dengue virus (DENV1–4). While overall levels of DENV neutralizing antibodies (nAbs) in humans have been correlated with protection, these correlations vary depending on DENV serotype, prevaccination immunostatus, age, and study site. By combining both the level and molecular specificity of nAbs to each serotype, it may be possible to develop more robust correlates that predict long-term outcome. Methods Using depletions and recombinant chimeric epitope transplant DENVs, we evaluate the molecular specificity and mapped specific epitopes and antigenic regions targeted by vaccine-induced nAbs in volunteers who received the NIH monovalent vaccines against each DENV serotype. Results After monovalent vaccination, subjects developed high levels of nAbs that mainly targeted epitopes that are unique (type-specific) to each DENV serotype. The DENV1, 2, and 4 monovalent vaccines induced type-specific nAbs directed to quaternary structure envelope epitopes known to be targets of strongly neutralizing antibodies induced by wild-type DENV infections. Conclusions Our results reported here on the molecular specificity of NIH vaccine–induced antibodies enable new strategies, beyond the absolute levels of nAbs, for determining correlates and mechanisms of protective immunity.
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Affiliation(s)
- Jesica A Swanstrom
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill
| | - Usha K Nivarthi
- Department of Microbiology and Immunology, School of Medicine, University of North Carolina at Chapel Hill
| | - Bhumi Patel
- Department of Microbiology and Immunology, School of Medicine, University of North Carolina at Chapel Hill
| | - Matthew J Delacruz
- Department of Microbiology and Immunology, School of Medicine, University of North Carolina at Chapel Hill
| | - Boyd Yount
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill
| | - Douglas G Widman
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill
| | - Anna P Durbin
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore.,Center for Immunization Research, Johns Hopkins Bloomberg School of Public Health, Baltimore
| | - Stephen S Whitehead
- Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland
| | - Aravinda M De Silva
- Department of Microbiology and Immunology, School of Medicine, University of North Carolina at Chapel Hill
| | - Ralph S Baric
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill
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11
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Alanine Substitution Inactivates Cross-Reacting Epitopes in Dengue Virus Recombinant Envelope Proteins. Viruses 2020; 12:v12020208. [PMID: 32069839 PMCID: PMC7077257 DOI: 10.3390/v12020208] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 01/28/2020] [Accepted: 02/07/2020] [Indexed: 01/06/2023] Open
Abstract
The expansion of the habitat of mosquitoes belonging to the Aedes genus puts nearly half of the world's population at risk of contracting dengue fever, and a significant fraction will develop its serious hemorrhagic complication, which can be fatal if not diagnosed properly and treated in a timely fashion. Although several diagnostic methods have been approved for dengue diagnostics, their applicability is limited in rural areas of developing countries by sample preparation costs and methodological requirements, as well as cross-reactivity among the different serotypes of the Dengue virus and other flavivirus, such as the Zika virus. For these reasons, it is necessary to generate more specific antigens to improve serological methods that could be cheaper and used in field operations. Here, we describe a strategy for the inactivation of cross-reacting epitopes on the surface of the Dengue virus envelope protein through the synthetic generation of recombinant peptide sequences, where key amino acid residues from Dengue virus serotype 1 (DENV-1) and 2 (DENV-2) are substituted by alanine residues. The proteins thus generated are recognized by 88% of sera from Dengue NS1+ patients and show improved serotype specificity because they do not react with the antibodies present in seroconverted, PCR-serotyped DEN-4 infected patients.
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12
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Bett B, Grace D, Lee HS, Lindahl J, Nguyen-Viet H, Phuc PD, Quyen NH, Tu TA, Phu TD, Tan DQ, Nam VS. Spatiotemporal analysis of historical records (2001-2012) on dengue fever in Vietnam and development of a statistical model for forecasting risk. PLoS One 2019; 14:e0224353. [PMID: 31774823 PMCID: PMC6881000 DOI: 10.1371/journal.pone.0224353] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Accepted: 10/12/2019] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Dengue fever is the most widespread infectious disease of humans transmitted by Aedes mosquitoes. It is the leading cause of hospitalization and death in children in the Southeast Asia and western Pacific regions. We analyzed surveillance records from health centers in Vietnam collected between 2001-2012 to determine seasonal trends, develop risk maps and an incidence forecasting model. METHODS The data were analyzed using a hierarchical spatial Bayesian model that approximates its posterior parameter distributions using the integrated Laplace approximation algorithm (INLA). Meteorological, altitude and land cover (LC) data were used as predictors. The data were grouped by province (n = 63) and month (n = 144) and divided into training (2001-2009) and validation (2010-2012) sets. Thirteen meteorological variables, 7 land cover data and altitude were considered as predictors. Only significant predictors were kept in the final multivariable model. Eleven dummy variables representing month were also fitted to account for seasonal effects. Spatial and temporal effects were accounted for using Besag-York-Mollie (BYM) and autoregressive (1) models. Their levels of significance were analyzed using deviance information criterion (DIC). The model was validated based on the Theil's coefficient which compared predicted and observed incidence estimated using the validation data. Dengue incidence predictions for 2010-2012 were also used to generate risk maps. RESULTS The mean monthly dengue incidence during the period was 6.94 cases (SD 14.49) per 100,000 people. Analyses on the temporal trends of the disease showed regular seasonal epidemics that were interrupted every 3 years (specifically in July 2004, July 2007 and September 2010) by major fluctuations in incidence. Monthly mean minimum temperature, rainfall, area under urban settlement/build-up areas and altitude were significant in the final model. Minimum temperature and rainfall had non-linear effects and lagging them by two months provided a better fitting model compared to using unlagged variables. Forecasts for the validation period closely mirrored the observed data and accurately captured the troughs and peaks of dengue incidence trajectories. A favorable Theil's coefficient of inequality of 0.22 was generated. CONCLUSIONS The study identified temperature, rainfall, altitude and area under urban settlement as being significant predictors of dengue incidence. The statistical model fitted the data well based on Theil's coefficient of inequality, and risk maps generated from its predictions identified most of the high-risk provinces throughout the country.
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Affiliation(s)
- Bernard Bett
- International Livestock Research Institute, Nairobi, Kenya
- * E-mail:
| | - Delia Grace
- International Livestock Research Institute, Nairobi, Kenya
| | - Hu Suk Lee
- International Livestock Research Institute, Regional Office for East and Southeast Asia, Hanoi, Vietnam
| | - Johanna Lindahl
- International Livestock Research Institute, Nairobi, Kenya
- Uppsala University, Uppsala, Sweden
- Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Hung Nguyen-Viet
- International Livestock Research Institute, Regional Office for East and Southeast Asia, Hanoi, Vietnam
- Centre for Public Health and Ecosystem Research (CENPHER), Hanoi University of Public Health, Hanoi, Vietnam
| | - Pham-Duc Phuc
- Centre for Public Health and Ecosystem Research (CENPHER), Hanoi University of Public Health, Hanoi, Vietnam
| | - Nguyen Huu Quyen
- Vietnam Institute of Meteorology, Hydrology and Climate Change (IMHEN), Hanoi, Vietnam
| | - Tran Anh Tu
- National Institute of Hygiene and Epidemiology, Hanoi, Vietnam
| | - Tran Dac Phu
- General Department of Preventive Medicine, Ministry of Health, Hanoi, Vietnam
| | - Dang Quang Tan
- General Department of Preventive Medicine, Ministry of Health, Hanoi, Vietnam
| | - Vu Sinh Nam
- National Institute of Hygiene and Epidemiology, Hanoi, Vietnam
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13
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Swanstrom JA, Henein S, Plante JA, Yount BL, Widman DG, Gallichotte EN, Dean HJ, Osorio JE, Partidos CD, de Silva AM, Baric RS. Analyzing the Human Serum Antibody Responses to a Live Attenuated Tetravalent Dengue Vaccine Candidate. J Infect Dis 2019; 217:1932-1941. [PMID: 29800370 DOI: 10.1093/infdis/jiy063] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Background Dengue virus serotypes 1-4 (DENV-1-4) are the most common vector-borne viral pathogens of humans and the etiological agents of dengue fever and dengue hemorrhagic syndrome. A live-attenuated tetravalent dengue vaccine (TDV) developed by Takeda Vaccines has recently progressed to phase 3 safety and efficacy evaluation. Methods We analyzed the qualitative features of the neutralizing antibody (nAb) response induced in naive and DENV-immune individuals after TDV administration. Using DENV-specific human monoclonal antibodies (mAbs) and recombinant DENV displaying different serotype-specific Ab epitopes, we mapped the specificity of TDV-induced nAbs against DENV-1-3. Results Nearly all subjects had high levels of DENV-2-specific nAbs directed to epitopes centered on domain III of the envelope protein. In some individuals, the vaccine induced nAbs that tracked with a DENV-1-specific neutralizing epitope centered on domain I of the envelope protein. The vaccine induced binding Abs directed to a DENV-3 type-specific neutralizing epitope, but findings of mapping of DENV-3 type-specific nAbs were inconclusive. Conclusion Here we provide qualitative measures of the magnitude and epitope specificity of the nAb responses to TDV. This information will be useful for understanding the performance of TDV in clinical trials and for identifying correlates of protective immunity.
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Affiliation(s)
- Jesica A Swanstrom
- Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill
| | - Sandra Henein
- Department of Microbiology and Immunology, School of Medicine, University of North Carolina, Chapel Hill
| | - Jessica A Plante
- Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill
| | - Boyd L Yount
- Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill
| | - Douglas G Widman
- Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill
| | - Emily N Gallichotte
- Department of Microbiology and Immunology, School of Medicine, University of North Carolina, Chapel Hill
| | | | | | | | - Aravinda M de Silva
- Department of Microbiology and Immunology, School of Medicine, University of North Carolina, Chapel Hill
| | - Ralph S Baric
- Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill.,Department of Microbiology and Immunology, School of Medicine, University of North Carolina, Chapel Hill
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Cáceres Munar BA, Castellanos Parra JE, Rodríguez Panduro MH. Amplificación de la infección dependiente de anticuerpos en la inmunopatogénesis del dengue grave, implicaciones para el desarrollo y uso de las vacunas. ACTA BIOLÓGICA COLOMBIANA 2019. [DOI: 10.15446/abc.v24n3.79410] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Actualmente, la infección por el virus de dengue (DENV) es uno de los problemas más importantes de salud pública en países tropicales y endémicos como Colombia, pues en tanto puede ser producida por cuatro diferentes serotipos virales, durante las infecciones secundarias se presentan frecuentemente cuadros más severos que incluso pueden llevar a desenlaces fatales. El centro de la fisiopatología del dengue grave es el daño producido al endotelio, que se traduce en un aumento en la permeabilidad vascular que se evidencia como fuga plasmática, descontrol en la coagulación y daño de órganos. Aunque hay varias teorías que explican la enfermedad severa, el fenómeno denominado amplificación de la infección dependiente de anticuerpos (antibody dependent enhancement, ADE) es el más conocido. En este, se postula que el virus causante de una infección secundaria es reconocido, pero no neutralizado, por anticuerpos generados en la infección previa e internalizado en las células susceptibles usando receptores Fc-gamma, lo cual aumenta la replicación viral e induce modificaciones en la respuesta inmune celular que contribuyen al desarrollo de dengue grave. En este escrito, se realiza una revisión de los hallazgos sobre los mecanismos involucrados en el fenómeno de ADE y cómo pueden contribuir a la progresión hacia dengue grave, describiendo los conceptos de ADE extrínseco e intrínseco, además de como este fenómeno debe ser tenido en cuenta para el diseño, desarrollo e implementación de una vacuna para dengue, en tanto es capaz de afectar su eficacia y seguridad.
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15
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Kar M, Nisheetha A, Kumar A, Jagtap S, Shinde J, Singla M, M S, Pandit A, Chandele A, Kabra SK, Krishna S, Roy R, Lodha R, Pattabiraman C, Medigeshi GR. Isolation and molecular characterization of dengue virus clinical isolates from pediatric patients in New Delhi. Int J Infect Dis 2018; 84S:S25-S33. [PMID: 30528666 DOI: 10.1016/j.ijid.2018.12.003] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Revised: 12/01/2018] [Accepted: 12/04/2018] [Indexed: 01/26/2023] Open
Abstract
OBJECTIVE To characterize the in vitro replication fitness, viral diversity, and phylogeny of dengue viruses (DENV) isolated from Indian patients. METHODS DENV was isolated from whole blood collected from patients by passaging in cell culture. Passage 3 viruses were used for growth kinetics in C6/36 mosquito cells. Parallel efforts also focused on the isolation of DENV RNA from plasma samples of the same patients, which were processed for next-generation sequencing. RESULTS It was possible to isolate 64 clinical isolates of DENV, mostly DENV-2. Twenty-five of these were further used for growth curve analysis in vitro, which showed a wide range of replication kinetics. The highest viral titers were associated with isolates from patients with dengue with warning signs and severe dengue cases. Full genome sequences of 21 DENV isolates were obtained. Genome analysis mapped the circulating DENV-2 strains to the Cosmopolitan genotype. CONCLUSIONS The replication kinetics of isolates from patients with mild or severe infection did not differ significantly, but the viral titers varied by two orders of magnitude between the isolates, suggesting differences in replication fitness among the circulating DENV-2.
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Affiliation(s)
- Meenakshi Kar
- Translational Health Science and Technology Institute, Faridabad, Haryana, India
| | - Amul Nisheetha
- National Centre for Biological Sciences, TIFR, Bengaluru, India
| | - Anuj Kumar
- National Centre for Biological Sciences, TIFR, Bengaluru, India
| | - Suraj Jagtap
- Department of Chemical Engineering, Indian Institute of Science, Bengaluru, India
| | - Jitendra Shinde
- Translational Health Science and Technology Institute, Faridabad, Haryana, India
| | - Mohit Singla
- Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India
| | - Saranya M
- Molecular Biophysics Unit, Indian Institute of Science, Bengaluru, India
| | - Awadhesh Pandit
- National Centre for Biological Sciences, TIFR, Bengaluru, India
| | - Anmol Chandele
- ICGEB-Emory Vaccine Center, ICGEB Campus, New Delhi, India
| | - Sushil K Kabra
- Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India
| | - Sudhir Krishna
- National Centre for Biological Sciences, TIFR, Bengaluru, India
| | - Rahul Roy
- Department of Chemical Engineering, Indian Institute of Science, Bengaluru, India; Molecular Biophysics Unit, Indian Institute of Science, Bengaluru, India; Center for Biosystems Science and Engineering, Indian Institute of Science, Bengaluru, India
| | - Rakesh Lodha
- Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India
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16
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Burton BR, Tennant RK, Love J, Titball RW, Wraith DC, White HN. Variant proteins stimulate more IgM+ GC B-cells revealing a mechanism of cross-reactive recognition by antibody memory. eLife 2018; 7:26832. [PMID: 29709214 PMCID: PMC5959717 DOI: 10.7554/elife.26832] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2017] [Accepted: 04/20/2018] [Indexed: 12/16/2022] Open
Abstract
Vaccines induce memory B-cells that provide high affinity secondary antibody responses to identical antigens. Memory B-cells can also re-instigate affinity maturation, but how this happens against antigenic variants is poorly understood despite its potential impact on driving broadly protective immunity against pathogens such as Influenza and Dengue. We immunised mice sequentially with identical or variant Dengue-virus envelope proteins and analysed antibody and germinal-centre (GC) responses. Variant protein boosts induced GCs with a higher proportion of IgM+ B cells. The most variant protein re-stimulated GCs with the highest proportion of IgM+ cells with the most diverse, least mutated V-genes and with a slower but efficient serum antibody response. Recombinant antibodies from GC B-cells showed a higher affinity for the variant antigen than antibodies from a primary response, confirming a memory origin. This reveals a new process of antibody memory, that IgM memory cells with fewer mutations participate in secondary responses to variant antigens, demonstrating how the hierarchical structure of B-cell memory is used and indicating the potential and limits of cross-reactive antibody based immunity.
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Affiliation(s)
- Bronwen R Burton
- Faculty of Biomedical Sciences, University of Bristol, Bristol, United Kingdom
| | - Richard K Tennant
- Department of Biosciences, University of Exeter, Exeter, United Kingdom
| | - John Love
- Department of Biosciences, University of Exeter, Exeter, United Kingdom
| | - Richard W Titball
- Department of Biosciences, University of Exeter, Exeter, United Kingdom
| | - David C Wraith
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, United Kingdom
| | - Harry N White
- Department of Biosciences, University of Exeter, Exeter, United Kingdom
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17
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Rocha LB, Alves RPDS, Caetano BA, Pereira LR, Mitsunari T, Amorim JH, Polatto JM, Botosso VF, Gallina NMF, Palacios R, Precioso AR, Granato CFH, Oliveira DBL, Silveira VBD, Luz D, Ferreira LCDS, Piazza RMF. Epitope Sequences in Dengue Virus NS1 Protein Identified by Monoclonal Antibodies. Antibodies (Basel) 2017; 6:antib6040014. [PMID: 31548529 PMCID: PMC6698852 DOI: 10.3390/antib6040014] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2017] [Revised: 09/22/2017] [Accepted: 09/22/2017] [Indexed: 11/17/2022] Open
Abstract
Dengue nonstructural protein 1 (NS1) is a multi-functional glycoprotein with essential functions both in viral replication and modulation of host innate immune responses. NS1 has been established as a good surrogate marker for infection. In the present study, we generated four anti-NS1 monoclonal antibodies against recombinant NS1 protein from dengue virus serotype 2 (DENV2), which were used to map three NS1 epitopes. The sequence 193AVHADMGYWIESALNDT209 was recognized by monoclonal antibodies 2H5 and 4H1BC, which also cross-reacted with Zika virus (ZIKV) protein. On the other hand, the sequence 25VHTWTEQYKFQPES38 was recognized by mAb 4F6 that did not cross react with ZIKV. Lastly, a previously unidentified DENV2 NS1-specific epitope, represented by the sequence 127ELHNQTFLIDGPETAEC143, is described in the present study after reaction with mAb 4H2, which also did not cross react with ZIKV. The selection and characterization of the epitope, specificity of anti-NS1 mAbs, may contribute to the development of diagnostic tools able to differentiate DENV and ZIKV infections.
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Affiliation(s)
| | - Rubens Prince Dos Santos Alves
- Laboratório de Desenvolvimento de Vacinas, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, 05508-000, SP, Brazil.
| | - Bruna Alves Caetano
- Laboratório de Bacteriologia, Instituto Butantan, São Paulo, 05503-900 SP, Brazil.
| | - Lennon Ramos Pereira
- Laboratório de Desenvolvimento de Vacinas, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, 05508-000, SP, Brazil.
| | - Thais Mitsunari
- Laboratório de Bacteriologia, Instituto Butantan, São Paulo, 05503-900 SP, Brazil.
| | - Jaime Henrique Amorim
- Laboratório de Desenvolvimento de Vacinas, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, 05508-000, SP, Brazil.
| | | | | | | | - Ricardo Palacios
- Divisão de Ensaios Clínicos e Farmacovigilância, Instituto Butantan, São Paulo, 05503-900, SP, Brazil.
| | | | - Celso Francisco Hernandes Granato
- Departamento de Medicina, Disciplina de Doenças Infecciosas e Parasitárias, Universidade Federal de São Paulo, São Paulo, 04023-062, SP, Brazil.
| | - Danielle Bruna Leal Oliveira
- Laboratório de Virologia Molecular e Clínica, Departamento de Microbiologia, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, 05508-000, SP, Brazil.
| | - Vanessa Barbosa da Silveira
- Laboratório de Virologia Molecular e Clínica, Departamento de Microbiologia, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, 05508-000, SP, Brazil.
| | - Daniela Luz
- Laboratório de Bacteriologia, Instituto Butantan, São Paulo, 05503-900 SP, Brazil.
| | - Luís Carlos de Souza Ferreira
- Laboratório de Desenvolvimento de Vacinas, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, 05508-000, SP, Brazil.
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