1
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Azulay A, Cohen-Lavi L, Friedman LM, McGargill MA, Hertz T. Mapping antibody footprints using binding profiles. CELL REPORTS METHODS 2023; 3:100566. [PMID: 37671022 PMCID: PMC10475849 DOI: 10.1016/j.crmeth.2023.100566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 07/26/2023] [Accepted: 07/31/2023] [Indexed: 09/07/2023]
Abstract
The increasing use of monoclonal antibodies (mAbs) in biology and medicine necessitates efficient methods for characterizing their binding epitopes. Here, we developed a high-throughput antibody footprinting method based on binding profiles. We used an antigen microarray to profile 23 human anti-influenza hemagglutinin (HA) mAbs using HA proteins of 43 human influenza strains isolated between 1918 and 2018. We showed that the mAb's binding profile can be used to characterize its influenza subtype specificity, binding region, and binding site. We present mAb-Patch-an epitope prediction method that is based on a mAb's binding profile and the 3D structure of its antigen. mAb-Patch was evaluated using four mAbs with known solved mAb-HA structures. mAb-Patch identifies over 67% of the true epitope when considering only 50-60 positions along the antigen. Our work provides proof of concept for utilizing antibody binding profiles to screen large panels of mAbs and to down-select antibodies for further functional studies.
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Affiliation(s)
- Asaf Azulay
- The Shraga Segal Department of Microbiology, Immunology and Genetics, Ben-Gurion University of the Negev, Beer-Sheva, Israel
- National Institute of Biotechnology in the Negev, Beer-Sheva, Israel
| | - Liel Cohen-Lavi
- National Institute of Biotechnology in the Negev, Beer-Sheva, Israel
- Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Lilach M. Friedman
- The Shraga Segal Department of Microbiology, Immunology and Genetics, Ben-Gurion University of the Negev, Beer-Sheva, Israel
- National Institute of Biotechnology in the Negev, Beer-Sheva, Israel
| | - Maureen A. McGargill
- Department of Immunology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Tomer Hertz
- The Shraga Segal Department of Microbiology, Immunology and Genetics, Ben-Gurion University of the Negev, Beer-Sheva, Israel
- National Institute of Biotechnology in the Negev, Beer-Sheva, Israel
- Vaccine and Infectious Disease Division, Fred Hutch Cancer Research Center, Seattle, WA, USA
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2
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Antigenic Landscape Analysis of Individuals Vaccinated with a Universal Influenza Virus Vaccine Candidate Reveals Induction of Cross-Subtype Immunity. J Virol 2023; 97:e0107022. [PMID: 36533948 PMCID: PMC9888246 DOI: 10.1128/jvi.01070-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Current influenza virus vaccines have to be closely matched to circulating strains to provide good protection, and antigenic drift and emerging pandemic influenza virus strains present a difficult challenge for them. Universal influenza virus vaccines, including chimeric hemagglutinin (cHA)-based constructs that target the conserved stalk domain of hemagglutinin, are in clinical development. Due to the conservation of the stalk domain, antibodies directed to it show broad binding profiles, usually within group 1 and group 2 influenza A or influenza B virus phylogenies. However, determining the binding breadth of these antibodies with commonly used immunological methods can be challenging. Here, we analyzed serum samples from a phase I clinical trial (CVIA057, NCT03300050) using an influenza virus protein microarray (IVPM). The IVPM technology allowed us to assess immune responses not only to a large number of group 1 hemagglutinins but also group 2 and influenza B virus hemagglutinins. In CVIA057, different vaccine modalities, including a live attenuated influenza virus vaccine and inactivated influenza virus vaccines with or without adjuvant, all in the context of cHA constructs, were tested. We found that vaccination with adjuvanted, inactivated vaccines induced a very broad antibody response covering group 1 hemagglutinins, with limited induction of antibodies to group 2 hemagglutinins. Our data show that cHA constructs do indeed induce very broad immune responses and that the IVPM technology is a useful tool to measure this breadth that broadly protective or universal influenza virus vaccines aim to induce. IMPORTANCE The development of a universal influenza virus vaccine that protects against seasonal drifted, zoonotic, or emerging pandemic influenza viruses would be an extremely useful public health tool. Here, we test a technology designed to measure the breadth of antibody responses induced by this new class of vaccines.
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3
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Pan J, Li Y, Wang T, Chang J, Hao L, Chen J, Peng W, Deng J, Huang B, Tian K. A poly(dimethylsiloxane)-based solid-phase microchip platform for dual detection of Pseudorabies virus gD and gE antibodies. Front Cell Infect Microbiol 2022; 12:912108. [PMID: 35959367 PMCID: PMC9360482 DOI: 10.3389/fcimb.2022.912108] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 06/28/2022] [Indexed: 11/29/2022] Open
Abstract
Pseudorabies caused by pseudorabies virus (PRV) infection is still a major disease affecting the pig industry; its eradication depends on effective vaccination and antibody (Ab) detection. For a more rapid and accurate PRV detection method that is suitable for clinical application, here, we established a poly(dimethylsiloxane)-based (efficient removal of non-specific binding) solid-phase protein chip platform (blocking ELISA) for dual detection of PRV gD and gE Abs. The purified gD and gE proteins expressed in baculovirus were coated into the highly hydrophobic nanomembrane by an automatic spotter, and the gray values measured by a scanner were used for the S/N (sample/negative) value calculation (gD and gE Abs standard, positive: S/N value ≤0.6; negative: S/N value >0.7; suspicious: 0.6 < S/N ≤ 0.7). The method showed an equal sensitivity in the gD Ab test of immunized pig serum samples compared to the neutralization test and higher sensitivity in the gE Ab test compared to the commercial gE Ab detection kit. In the clinical evaluation, we found an agreement of 100% (122/122) in the gD Ab detection compared to the neutralization test and an agreement of 97.5% (119/122) in the gE Ab detection compared to the commercial PRV gE Ab detection kit. In summary, the protein chip platform for dual detection of PRV gD and gE Abs showed high sensitivity and specificity, which is suitable for PRV immune efficacy evaluation and epidemic monitoring.
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Affiliation(s)
| | - Yufang Li
- Luoyang Zhongke Biochip Technology Co., Ltd., Luoyang, China
| | - Tongyan Wang
- National Research Center for Veterinary Medicine, Luoyang, China
| | | | - Liying Hao
- Luoyang Putai Biotech Co., Ltd., Luoyang, China
| | - Junjie Chen
- Department of Statistical Science, University College London, London, United Kingdom
| | - Wuping Peng
- Luoyang Putai Biotech Co., Ltd., Luoyang, China
| | - Junhua Deng
- Luoyang Putai Biotech Co., Ltd., Luoyang, China
| | - Baicheng Huang
- National Research Center for Veterinary Medicine, Luoyang, China
| | - Kegong Tian
- National Research Center for Veterinary Medicine, Luoyang, China
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4
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Encinas P, del Real G, Dutta J, Khan Z, van Bakel H, del Burgo MÁM, García-Sastre A, Nelson MI. Evolution of influenza A virus in intensive and free-range swine farms in Spain. Virus Evol 2022; 7:veab099. [PMID: 35039784 PMCID: PMC8754697 DOI: 10.1093/ve/veab099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 10/21/2021] [Accepted: 11/29/2021] [Indexed: 11/13/2022] Open
Abstract
Swine harbor genetically diverse influenza A viruses (IAVs) with the capacity to host-switch to humans, causing global pandemics. Spain is the largest swine producer in Europe and has a mixed production system that includes 'white coat' pigs raised intensively in modern buildings and free-range Iberian pigs that interface differently with humans, wildlife, and other swine. Through active longitudinal IAV surveillance in nine Spanish provinces during 2015-9, we generated forty-seven complete or near-complete genome sequences from IAVs collected from swine in both systems. Genetically diverse IAVs were identified in intensively raised white pigs and free-range Iberian pigs, including new H3N1 reassortants. Both systems are dynamic environments for IAV evolution, but driven by different processes. IAVs in white pigs were genetically related to viruses found in swine raised intensively in other European countries, reflecting high rates of viral introduction following European trade routes. In contrast, IAVs in Iberian pigs have a genetic makeup shaped by frequent introductions of human IAVs, reflecting rearing practices with high rates of human contact. Transmission between white and Iberian pigs also occurred. In conclusion, Iberian swine with high rates of human contact harbor genetically diverse IAVs and potentially serve as intermediary hosts between white pigs and humans, presenting an understudied zoonotic risk that requires further investigation.
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Affiliation(s)
- Paloma Encinas
- Department of Biotechnology, National Institute of Agricultural and Food Research and Technology (INIA, CSIC), Ctra. de La Coruña Km 7.5, Madrid 28040, Spain
| | - Gustavo del Real
- Department of Biotechnology, National Institute of Agricultural and Food Research and Technology (INIA, CSIC), Ctra. de La Coruña Km 7.5, Madrid 28040, Spain
| | - Jayeeta Dutta
- Genetics and Genomic Sciences, Hess Center for Science and Medicine, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
| | - Zenab Khan
- Genetics and Genomic Sciences, Hess Center for Science and Medicine, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
| | - Harm van Bakel
- Genetics and Genomic Sciences, Hess Center for Science and Medicine, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
| | - M Ángeles Martín del Burgo
- Department of Biotechnology, National Institute of Agricultural and Food Research and Technology (INIA, CSIC), Ctra. de La Coruña Km 7.5, Madrid 28040, Spain
| | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA
- Global Health and Emerging Pathogen Institute, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA
- Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA
| | - Martha I Nelson
- Laboratory of Parasitic Diseases, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, 50 South Drive, Bethesda, MD 20892, USA
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5
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Flores-Santin J, Burggren WW. Beyond the Chicken: Alternative Avian Models for Developmental Physiological Research. Front Physiol 2021; 12:712633. [PMID: 34744759 PMCID: PMC8566884 DOI: 10.3389/fphys.2021.712633] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 09/13/2021] [Indexed: 12/23/2022] Open
Abstract
Biomedical research focusing on physiological, morphological, behavioral, and other aspects of development has long depended upon the chicken (Gallus gallus domesticus) as a key animal model that is presumed to be typical of birds and generally applicable to mammals. Yet, the modern chicken in its many forms is the result of artificial selection more intense than almost any other domesticated animal. A consequence of great variation in genotype and phenotype is that some breeds have inherent aberrant physiological and morphological traits that may show up relatively early in development (e.g., hypertension, hyperglycemia, and limb defects in the broiler chickens). While such traits can be useful as models of specific diseases, this high degree of specialization can color general experimental results and affect their translational value. Against this background, in this review we first consider the characteristics that make an animal model attractive for developmental research (e.g., accessibility, ease of rearing, size, fecundity, development rates, genetic variation, etc.). We then explore opportunities presented by the embryo to adult continuum of alternative bird models, including quail, ratites, songbirds, birds of prey, and corvids. We conclude by indicating that expanding developmental studies beyond the chicken model to include additional avian groups will both validate the chicken model as well as potentially identify even more suitable avian models for answering questions applicable to both basic biology and the human condition.
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Affiliation(s)
- Josele Flores-Santin
- Facultad de Ciencias, Biologia, Universidad Autónoma del Estado de Mexico, Toluca, Mexico
| | - Warren W Burggren
- Developmental Integrative Biology Research Group, Department of Biological Sciences, University of North Texas Denton, Denton, TX, United States
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6
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Xi H, Jiang H, Juhas M, Zhang Y. Multiplex Biosensing for Simultaneous Detection of Mutations in SARS-CoV-2. ACS OMEGA 2021; 6:25846-25859. [PMID: 34632242 PMCID: PMC8491437 DOI: 10.1021/acsomega.1c04024] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 09/10/2021] [Indexed: 05/02/2023]
Abstract
COVID-19 pandemic caused by the severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) has become the world's largest public health emergency of the past few decades. Thousands of mutations were identified in the SARS-CoV-2 genome. Some mutants are more infectious and may replace the original strains. Recently, B.1.1.7(Alpha), B1.351(Beta), and B.1.617.2(Delta) strains, which appear to have increased transmissibility, were detected. These strains accounting for the high proportion of newly diagnosed cases spread rapidly over the world. Particularly, the Delta variant has been reported to account for a vast majority of the infections in several countries over the last few weeks. The application of biosensors in the detection of SARS-CoV-2 is important for the control of the COVID-19 pandemic. Due to high demand for SARS-CoV-2 genotyping, it is urgent to develop reliable and efficient systems based on integrated multiple biosensor technology for rapid detection of multiple SARS-CoV-2 mutations simultaneously. This is important not only for the detection and analysis of the current but also for future mutations. Novel biosensors combined with other technologies can be used for the reliable and effective detection of SARS-CoV-2 mutants.
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Affiliation(s)
- Hui Xi
- College
of Science, Harbin Institute of Technology
(Shenzhen), Shenzhen, Guangdong 518055, China
| | - Hanlin Jiang
- College
of Science, Harbin Institute of Technology
(Shenzhen), Shenzhen, Guangdong 518055, China
| | - Mario Juhas
- Medical
and Molecular Microbiology Unit, Department of Medicine, Faculty of
Science and Medicine, University of Fribourg, Fribourg CH-1700, Switzerland
| | - Yang Zhang
- College
of Science, Harbin Institute of Technology
(Shenzhen), Shenzhen, Guangdong 518055, China
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7
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Development and application of a novel triplex protein microarray method for rapid detection of antibodies against avian influenza virus, Newcastle disease virus, and avian infectious bronchitis virus. Arch Virol 2021; 166:1113-1124. [PMID: 33576898 DOI: 10.1007/s00705-021-04962-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 11/30/2020] [Indexed: 10/22/2022]
Abstract
Avian influenza virus (AIV), Newcastle disease virus (NDV), and avian infectious bronchitis virus (IBV) inflict immense damage on the global poultry industry annually. Serological diagnostic methods are fundamental for the effective control and prevention of outbreaks caused by these viruses. In this study, a novel triplex protein microarray assay was developed and validated for the rapid and simultaneous visualized detection of antibodies against AIV, NDV, and IBV in chicken sera. The AIV nuclear protein (NP), NDV phosphoprotein (P), and IBV nonstructural protein 5 (nsp5) were produced in a prokaryotic expression system, purified, and immobilized onto an initiator integrated poly(dimethylsiloxane) (iPDMS) film as probes to detect antibodies against these viruses in chicken sera. After optimization of the reaction conditions, no cross-reactivity was detected with infectious bursal disease virus, avian leukosis virus subgroup J and chicken anemia virus antisera. The lowest detectable antibody titers in this assay corresponded to hemagglutination inhibition (HI) titers of 24 and 21 for AIV and NDV, respectively, and to an IDEXX antibody titer of 103 for IBV, using the HI assay and IDEXX commercial ELISA kit as the reference methods. When156 serum samples were tested using the new assay, the HI test and the IBV IDEXX ELISA kit, the assay showed 96.8% (151/156), 97.4% (152/156) and 99.4% (155/156) diagnostic accuracy for detection of AIV, NDV and IBV antibody, respectively. The current study suggests that the newly developed triplex microarray is rapid, sensitive, and specific, providing a viable alternative assay for AIV, NDV, and IBV antibody screening in epidemiological investigations and vaccination evaluations.
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8
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Highly Pathogenic Avian Influenza Viruses at the Wild-Domestic Bird Interface in Europe: Future Directions for Research and Surveillance. Viruses 2021; 13:v13020212. [PMID: 33573231 PMCID: PMC7912471 DOI: 10.3390/v13020212] [Citation(s) in RCA: 114] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Revised: 01/27/2021] [Accepted: 01/29/2021] [Indexed: 02/07/2023] Open
Abstract
Highly pathogenic avian influenza (HPAI) outbreaks in wild birds and poultry are no longer a rare phenomenon in Europe. In the past 15 years, HPAI outbreaks—in particular those caused by H5 viruses derived from the A/Goose/Guangdong/1/1996 lineage that emerged in southeast Asia in 1996—have been occuring with increasing frequency in Europe. Between 2005 and 2020, at least ten HPAI H5 incursions were identified in Europe resulting in mass mortalities among poultry and wild birds. Until 2009, the HPAI H5 virus outbreaks in Europe were caused by HPAI H5N1 clade 2.2 viruses, while from 2014 onwards HPAI H5 clade 2.3.4.4 viruses dominated outbreaks, with abundant genetic reassortments yielding subtypes H5N1, H5N2, H5N3, H5N4, H5N5, H5N6 and H5N8. The majority of HPAI H5 virus detections in wild and domestic birds within Europe coincide with southwest/westward fall migration and large local waterbird aggregations during wintering. In this review we provide an overview of HPAI H5 virus epidemiology, ecology and evolution at the interface between poultry and wild birds based on 15 years of avian influenza virus surveillance in Europe, and assess future directions for HPAI virus research and surveillance, including the integration of whole genome sequencing, host identification and avian ecology into risk-based surveillance and analyses.
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9
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Turner JS, Zhou JQ, Han J, Schmitz AJ, Rizk AA, Alsoussi WB, Lei T, Amor M, McIntire KM, Meade P, Strohmeier S, Brent RI, Richey ST, Haile A, Yang YR, Klebert MK, Suessen T, Teefey S, Presti RM, Krammer F, Kleinstein SH, Ward AB, Ellebedy AH. Human germinal centres engage memory and naive B cells after influenza vaccination. Nature 2020; 586:127-132. [PMID: 32866963 PMCID: PMC7566073 DOI: 10.1038/s41586-020-2711-0] [Citation(s) in RCA: 188] [Impact Index Per Article: 47.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Accepted: 08/20/2020] [Indexed: 01/19/2023]
Abstract
Influenza viruses remain a major public health threat. Seasonal influenza vaccination in humans primarily stimulates pre-existing memory B cells, which differentiate into a transient wave of circulating antibody-secreting plasmablasts1-3. This recall response contributes to 'original antigenic sin'-the selective increase of antibody species elicited by previous exposures to influenza virus antigens4. It remains unclear whether such vaccination can also induce germinal centre reactions in the draining lymph nodes, where diversification and maturation of recruited B cells can occur5. Here we used ultrasound-guided fine needle aspiration to serially sample the draining lymph nodes and investigate the dynamics and specificity of germinal centre B cell responses after influenza vaccination in humans. Germinal centre B cells that bind to influenza vaccine could be detected as early as one week after vaccination. In three out of eight participants, we detected vaccine-binding germinal centre B cells up to nine weeks after vaccination. Between 12% and 88% of the responding germinal centre B cell clones overlapped with B cells detected among early circulating plasmablasts. These shared B cell clones had high frequencies of somatic hypermutation and encoded broadly cross-reactive monoclonal antibodies. By contrast, vaccine-induced B cell clones detected only in the germinal centre compartment exhibited significantly lower frequencies of somatic hypermutation and predominantly encoded strain-specific monoclonal antibodies, which suggests a naive B cell origin. Some of these strain-specific monoclonal antibodies recognized epitopes that were not targeted by the early plasmablast response. Thus, influenza virus vaccination in humans can elicit a germinal centre reaction that recruits B cell clones that can target new epitopes, thereby broadening the spectrum of vaccine-induced protective antibodies.
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Affiliation(s)
- Jackson S Turner
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO, USA
| | - Julian Q Zhou
- Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
| | - Julianna Han
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Aaron J Schmitz
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO, USA
| | - Amena A Rizk
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO, USA
| | - Wafaa B Alsoussi
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO, USA
| | - Tingting Lei
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO, USA
| | - Mostafa Amor
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO, USA
| | - Katherine M McIntire
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO, USA
| | - Philip Meade
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Shirin Strohmeier
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rafael I Brent
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO, USA
| | - Sara T Richey
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Alem Haile
- Clinical Trials Unit, Washington University School of Medicine, St Louis, MO, USA
| | - Yuhe R Yang
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Michael K Klebert
- Clinical Trials Unit, Washington University School of Medicine, St Louis, MO, USA
| | - Teresa Suessen
- Department of Radiology, Washington University School of Medicine, St Louis, MO, USA
| | - Sharlene Teefey
- Department of Radiology, Washington University School of Medicine, St Louis, MO, USA
| | - Rachel M Presti
- Department of Internal Medicine-Infectious Diseases, Washington University School of Medicine, St Louis, MO, USA
| | - Florian Krammer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Steven H Kleinstein
- Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
- Department of Pathology and Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Andrew B Ward
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Ali H Ellebedy
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO, USA.
- The Andrew M. and Jane M. Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St Louis, MO, USA.
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10
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Kazakova A, Kakkola L, Ziegler T, Syrjänen R, Päkkilä H, Waris M, Soukka T, Julkunen I. Pandemic influenza A(H1N1pdm09) vaccine induced high levels of influenza-specific IgG and IgM antibodies as analyzed by enzyme immunoassay and dual-mode multiplex microarray immunoassay methods. Vaccine 2020; 38:1933-1942. [PMID: 31987689 DOI: 10.1016/j.vaccine.2020.01.022] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Revised: 01/03/2020] [Accepted: 01/07/2020] [Indexed: 12/17/2022]
Abstract
Influenza A viruses continue to circulate throughout the world as yearly epidemics or occasional pandemics. Influenza infections can be prevented by seasonal multivalent or monovalent pandemic vaccines. In the present study, we describe a novel multiplex microarray immunoassay (MAIA) for simultaneous measurement of virus-specific IgG and IgM antibodies using Pandemrix-vaccinated adult sera collected at day 0 and 28 and 180 days after vaccination as the study material. MAIA showed excellent correlation with a conventional enzyme immunoassay (EIA) in both IgG and IgM anti-influenza A antibodies and good correlation with hemagglutination inhibition (HI) test. Pandemrix vaccine induced 5-30 fold increases in anti-H1N1pdm09 influenza antibodies as measured by HI, EIA or MAIA. A clear increase in virus-specific IgG antibodies was found in 93-97% of vaccinees by MAIA and EIA. Virus-specific IgM antibodies were found in 90-92% of vaccinees by MAIA and EIA, respectively and IgM antibodies persisted for up to 6 months after vaccination in 55-62% of the vaccinees. Pandemic influenza vaccine induced strong anti-influenza A IgG and IgM responses that persisted several months after vaccination. MAIA was demonstrated to be an excellent method for simultaneous measurement of antiviral IgG and IgM antibodies against multiple virus antigens. Thus the method is well suitable for large scale epidemiological and vaccine immunity studies.
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Affiliation(s)
- Anna Kazakova
- Institute of Biomedicine/Virology, University of Turku, Kiinamyllynkatu 10, 20520 Turku, Finland
| | - Laura Kakkola
- Institute of Biomedicine/Virology, University of Turku, Kiinamyllynkatu 10, 20520 Turku, Finland
| | - Thedi Ziegler
- Research Center for Child Psychiatry, University of Turku, Itäinen Pitkäkatu 1, 20520 Turku, Finland
| | - Ritva Syrjänen
- National Institute for Health and Welfare, Mannerheimintie 166, 00300 Helsinki, Finland
| | - Henna Päkkilä
- Department of Biotechnology, University of Turku, Kiinamyllynkatu 10, 20520 Turku, Finland
| | - Matti Waris
- Institute of Biomedicine/Virology, University of Turku, Kiinamyllynkatu 10, 20520 Turku, Finland; Turku University Hospital, Clinical Microbiology, Kiinamyllynkatu 10, 20520 Turku, Finland
| | - Tero Soukka
- Department of Biotechnology, University of Turku, Kiinamyllynkatu 10, 20520 Turku, Finland
| | - Ilkka Julkunen
- Institute of Biomedicine/Virology, University of Turku, Kiinamyllynkatu 10, 20520 Turku, Finland; Turku University Hospital, Clinical Microbiology, Kiinamyllynkatu 10, 20520 Turku, Finland.
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11
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Meade P, Kuan G, Strohmeier S, Maier HE, Amanat F, Balmaseda A, Ito K, Kirkpatrick E, Javier A, Gresh L, Nachbagauer R, Gordon A, Krammer F. Influenza Virus Infection Induces a Narrow Antibody Response in Children but a Broad Recall Response in Adults. mBio 2020; 11:e03243-19. [PMID: 31964741 PMCID: PMC6974575 DOI: 10.1128/mbio.03243-19] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Accepted: 12/11/2019] [Indexed: 11/20/2022] Open
Abstract
In contrast to influenza virus vaccination, natural infection induces long-lived and relatively broad immune responses. However, many aspects of the antibody response to natural infection are not well understood. Here, we assessed the immune response after H1N1 influenza virus infection in children and adults in a Nicaraguan household transmission study using an influenza virus protein microarray (IVPM). This technology allows us to simultaneously measure IgG and IgA antibody responses to hemagglutinins of many different virus strains and subtypes quantitatively with a high throughput. We found that children under 6 years of age responded to natural infection with a relatively narrow response that targeted mostly the hemagglutinin of the strain that caused the infection. Adults, however, have a much broader response, including a boost in antibodies to many group 1 subtype hemagglutinins. Also, a strong recall response against historic H1 hemagglutinins that share the K133 epitope with the pandemic H1N1 virus was observed. Of note, some children, while responding narrowly within H1 and group 1 hemagglutinins, induced a boost to H3 and other group 2 hemagglutinins when infected with H1N1 when they had experienced an H3N2 infection earlier in life. This is an interesting phenomenon providing evidence for immune imprinting and a significant new insight which might be leveraged in future universal influenza virus vaccine strategies. Finally, preexisting immunity to pandemic H1 hemagglutinins was significantly associated with protection from infection in both children and adults. In adults, preexisting immunity to non-H1 group 1 hemagglutinins was also significantly associated with protection from infection.IMPORTANCE It is known since Thomas Francis, Jr. published his first paper on original antigenic sin in 1960 that the first infection(s) with influenza virus leaves a special immunological imprint which shapes immune responses to future infections with antigenically related influenza virus strains. Imprinting has been implicated in both protective effects as well as blunting of the immune response to vaccines. Despite the fact that this phenomenon was already described almost 60 years ago, we have very little detailed knowledge of the characteristics and breadth of the immune response to the first exposure(s) to influenza virus in life and how this compares to later exposure as adults. Here, we investigate these immune responses in detail using an influenza virus protein microarray. While our findings are mostly descriptive in nature and based on a small sample size, they provide a strong basis for future large-scale studies to better understand imprinting effects.
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Affiliation(s)
- Philip Meade
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Centers of Excellence for Influenza Research and Surveillance (CEIRS)
- Center for Research on Influenza Pathogenesis (CRIP), New York, New York, USA
| | - Guillermina Kuan
- Sustainable Sciences Institute, Managua, Nicaragua
- Centro de Salud Sócrates Flores Vivas, Ministry of Health, Managua, Nicaragua
| | - Shirin Strohmeier
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Centers of Excellence for Influenza Research and Surveillance (CEIRS)
- Center for Research on Influenza Pathogenesis (CRIP), New York, New York, USA
| | - Hannah E Maier
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Fatima Amanat
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Centers of Excellence for Influenza Research and Surveillance (CEIRS)
- Center for Research on Influenza Pathogenesis (CRIP), New York, New York, USA
| | - Angel Balmaseda
- Centro de Salud Sócrates Flores Vivas, Ministry of Health, Managua, Nicaragua
- Laboratorio Nacional de Virología, Centro Nacional de Diagnóstico y Referencia, Ministry of Health, Managua, Nicaragua
| | - Kimihito Ito
- Division of Bioinformatics, Hokkaido University Research Center for Zoonosis Control, Kitaku, Japan
| | - Ericka Kirkpatrick
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Centers of Excellence for Influenza Research and Surveillance (CEIRS)
- Center for Research on Influenza Pathogenesis (CRIP), New York, New York, USA
| | - Andres Javier
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Lionel Gresh
- Centro de Salud Sócrates Flores Vivas, Ministry of Health, Managua, Nicaragua
| | - Raffael Nachbagauer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Centers of Excellence for Influenza Research and Surveillance (CEIRS)
- Center for Research on Influenza Pathogenesis (CRIP), New York, New York, USA
| | - Aubree Gordon
- Centers of Excellence for Influenza Research and Surveillance (CEIRS)
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
- St. Jude Center of Excellence for Influenza Research and Surveillance, Memphis, Tennessee, USA
| | - Florian Krammer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Centers of Excellence for Influenza Research and Surveillance (CEIRS)
- Center for Research on Influenza Pathogenesis (CRIP), New York, New York, USA
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12
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Krammer F, Weir JP, Engelhardt O, Katz JM, Cox RJ. Meeting report and review: Immunological assays and correlates of protection for next-generation influenza vaccines. Influenza Other Respir Viruses 2019; 14:237-243. [PMID: 31837101 PMCID: PMC7040967 DOI: 10.1111/irv.12706] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 11/05/2019] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND This report summarizes the discussions and conclusions from the "Immunological Assays and Correlates of Protection for Next-Generation Influenza Vaccines" meeting which took place in Siena, Italy, from March 31, 2019, to April 2, 2019. CONCLUSIONS Furthermore, we review current correlates of protection against influenza virus infection and disease and their usefulness for the development of next generation broadly protective and universal influenza virus vaccines.
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Affiliation(s)
- Florian Krammer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Jerry P Weir
- Division of Viral Products, Food and Drug Administration, Bethesda, MD, USA
| | - Othmar Engelhardt
- Division of Virology, National Institute for Biological Standards and Control, Potters Bar, UK
| | - Jacqueline M Katz
- Formerly Influenza Branch, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA
| | - Rebecca Jane Cox
- Department of Clinical Science, Influenza Centre, University of Bergen, Bergen, Norway
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13
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A Complex Dance: Measuring the Multidimensional Worlds of Influenza Virus Evolution and Anti-Influenza Immune Responses. Pathogens 2019; 8:pathogens8040238. [PMID: 31731815 PMCID: PMC6963821 DOI: 10.3390/pathogens8040238] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 10/29/2019] [Accepted: 11/12/2019] [Indexed: 11/17/2022] Open
Abstract
The human antibody response to influenza virus infection or vaccination is as complicated as it is essential for protection against flu. The constant antigenic changes of the virus to escape human herd immunity hinder the yearly selection of vaccine strains since it is hard to predict which virus strains will circulate for the coming flu season. A "universal" influenza vaccine that could induce broad cross-influenza subtype protection would help to address this issue. However, the human antibody response is intricate and often obscure, with factors such as antigenic seniority or original antigenic sin (OAS), and back-boosting ensuring that each person mounts a unique immune response to infection or vaccination with any new influenza virus strain. Notably, the effects of existing antibodies on cross-protective immunity after repeated vaccinations are unclear. More research is needed to characterize the mechanisms at play, but traditional assays such as hemagglutinin inhibition (HAI) and microneutralization (MN) are excessively limited in scope and too resource-intensive to effectively meet this challenge. In the past ten years, new multiple dimensional assays (MDAs) have been developed to help overcome these problems by simultaneously measuring antibodies against a large panel of influenza hemagglutinin (HA) proteins with a minimal amount of sample in a high throughput way. MDAs will likely be a powerful tool for accelerating the study of the humoral immune response to influenza vaccination and the development of a universal influenza vaccine.
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14
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Serological Array-in-Well Multiplex Assay Reveals a High Rate of Respiratory Virus Infections and Reinfections in Young Children. mSphere 2019; 4:4/5/e00447-19. [PMID: 31511367 PMCID: PMC6739493 DOI: 10.1128/msphere.00447-19] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
The multiplex immunoassay was successfully used to simultaneously detect antibodies against seven different viruses. The developed serological microarray is a new promising tool for diagnostic, epidemiological, and seroprevalence analyses of virus infections. Serological assays are used to diagnose and characterize host immune responses against microbial pathogens. Microarray technologies facilitate high-throughput immunoassays of antibody detection against multiple pathogens simultaneously. To improve survey of influenza A virus (IAV), influenza B virus (IBV), respiratory syncytial virus (RSV), and adenovirus (AdV) antibody levels, we developed a microarray consisting of IAV H1N1, IAV H1N1pdm09 (vaccine), IAV H3N2, IBV Victoria, IBV Yamagata, RSV, AdV type 5 hexon protein, and control antigens printed on the bottom of a microtiter plate well. Bound IgG antibodies were detected with anti-human IgG-coated photon-upconverting nanoparticles and measured with a photoluminescence imager. The performance of the microarray immunoassay (MAIA) was evaluated with serum samples (n = 576) collected from children (n = 288) at 1 and 2 years of age and tested by standard enzyme immunoassays (EIAs) for antibodies to IAV vaccine and RSV. EIAs and MAIA showed substantial to almost perfect agreement (Cohen’s κ, 0.62 to 0.83). Applying MAIA, we found seroprevalences of 55% for IAV H1N1, 54% for IAV vaccine, 30% for IAV H3N2, 24% for IBV Victoria, 25% for IBV Yamagata, 38% for RSV, and 26% for AdV in 1-year-old children (n = 768). By the age of 2 years, IgG seropositivity rates (n = 714) increased to 74% for IAV H1N1, 71% for IAV vaccine, 49% for IAV H3N2, 47% for IBV Yamagata, 49% for IBV Victoria, 68% for RSV, and 58% for AdV. By analyzing increases in antibody levels not biased by vaccinations, we found a reinfection rate of 40% for RSV and 31% for AdV in children between 1 and 2 years of age. IMPORTANCE The multiplex immunoassay was successfully used to simultaneously detect antibodies against seven different viruses. The developed serological microarray is a new promising tool for diagnostic, epidemiological, and seroprevalence analyses of virus infections.
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15
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Sharma M, Krammer F, García-Sastre A, Tripathi S. Moving from Empirical to Rational Vaccine Design in the 'Omics' Era. Vaccines (Basel) 2019; 7:vaccines7030089. [PMID: 31416125 PMCID: PMC6789792 DOI: 10.3390/vaccines7030089] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Revised: 07/16/2019] [Accepted: 07/17/2019] [Indexed: 12/11/2022] Open
Abstract
An ideal vaccine provides long lasting protection against a pathogen by eliciting a well-rounded immune response which engages both innate and adaptive immunity. However, we have a limited understanding of how components of innate immunity, antibody and cell-mediated adaptive immunity interact and function together at a systems level. With advances in high-throughput ‘Omics’ methodologies it has become possible to capture global changes in the host, at a cellular and molecular level, that are induced by vaccination and infection. Analysis of these datasets has shown the promise of discovering mechanisms behind vaccine mediated protection, immunological memory, adverse effects as well as development of more efficient antigens and adjuvants. In this review, we will discuss how systems vaccinology takes advantage of new technology platforms and big data analysis, to enable the rational development of better vaccines.
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Affiliation(s)
- Mansi Sharma
- Department of Microbiology & Cell Biology, Indian Institute of Science, Bengaluru 560012, India
- Centre for Infectious Disease Research, Indian Institute of Science, Bengaluru 560012, India
| | - Florian Krammer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Shashank Tripathi
- Department of Microbiology & Cell Biology, Indian Institute of Science, Bengaluru 560012, India.
- Centre for Infectious Disease Research, Indian Institute of Science, Bengaluru 560012, India.
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16
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Khan S, Jain A, Taghavian O, Nakajima R, Jasinskas A, Supnet M, Felgner J, Davies J, de Assis RR, Jan S, Obiero J, Strahsburger E, Pone EJ, Liang L, Davies DH, Felgner PL. Use of an Influenza Antigen Microarray to Measure the Breadth of Serum Antibodies Across Virus Subtypes. J Vis Exp 2019:10.3791/59973. [PMID: 31403629 PMCID: PMC11177630 DOI: 10.3791/59973] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
Abstract
The influenza virus remains a significant cause of mortality worldwide due to the limited effectiveness of currently available vaccines. A key challenge to the development of universal influenza vaccines is high antigenic diversity resulting from antigenic drift. Overcoming this challenge requires novel research tools to measure the breadth of serum antibodies directed against many virus strains across different antigenic subtypes. Here, we present a protocol for analyzing the breadth of serum antibodies against diverse influenza virus strains using a protein microarray of influenza antigens. This influenza antigen microarray is constructed by printing purified hemagglutinin and neuraminidase antigens onto a nitrocellulose-coated membrane using a microarray printer. Human sera are incubated on the microarray to bind antibodies against the influenza antigens. Quantum-dot-conjugated secondary antibodies are used to simultaneously detect IgG and IgA antibodies binding to each antigen on the microarray. Quantitative antibody binding is measured as fluorescence intensity using a portable imager. Representative results are shown to demonstrate assay reproducibility in measuring subtype-specific and cross-reactive influenza antibodies in human sera. Compared to traditional methods such as ELISA, the influenza antigen microarray provides a high throughput multiplexed approach capable of testing hundreds of sera for multiple antibody isotypes against hundreds of antigens in a short time frame, and thus has applications in sero-surveillance and vaccine development. A limitation is the inability to distinguish binding antibodies from neutralizing antibodies.
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Affiliation(s)
- Saahir Khan
- Division of Infectious Diseases, Department of Medicine, University of California Irvine Health
| | - Aarti Jain
- Vaccine Research and Development Center, Department of Physiology, University of California Irvine
| | - Omid Taghavian
- Vaccine Research and Development Center, Department of Physiology, University of California Irvine
| | - Rie Nakajima
- Vaccine Research and Development Center, Department of Physiology, University of California Irvine
| | - Algis Jasinskas
- Vaccine Research and Development Center, Department of Physiology, University of California Irvine
| | - Medalyn Supnet
- Vaccine Research and Development Center, Department of Physiology, University of California Irvine
| | - Jiin Felgner
- Vaccine Research and Development Center, Department of Physiology, University of California Irvine
| | - Jenny Davies
- Vaccine Research and Development Center, Department of Physiology, University of California Irvine
| | - Rafael Ramiro de Assis
- Vaccine Research and Development Center, Department of Physiology, University of California Irvine
| | - Sharon Jan
- Vaccine Research and Development Center, Department of Physiology, University of California Irvine
| | - Joshua Obiero
- Vaccine Research and Development Center, Department of Physiology, University of California Irvine
| | - Erwin Strahsburger
- Vaccine Research and Development Center, Department of Physiology, University of California Irvine
| | - Egest J Pone
- Vaccine Research and Development Center, Department of Physiology, University of California Irvine
| | - Li Liang
- Vaccine Research and Development Center, Department of Physiology, University of California Irvine
| | - D Huw Davies
- Vaccine Research and Development Center, Department of Physiology, University of California Irvine
| | - Philip L Felgner
- Vaccine Research and Development Center, Department of Physiology, University of California Irvine;
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IgA tetramerization improves target breadth but not peak potency of functionality of anti-influenza virus broadly neutralizing antibody. PLoS Pathog 2019; 15:e1007427. [PMID: 30605488 PMCID: PMC6317788 DOI: 10.1371/journal.ppat.1007427] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Accepted: 10/22/2018] [Indexed: 12/15/2022] Open
Abstract
Mucosal immunoglobulins comprise mainly secretory IgA antibodies (SIgAs), which are the major contributor to pathogen-specific immune responses in mucosal tissues. These SIgAs are highly heterogeneous in terms of their quaternary structure. A recent report shows that the polymerization status of SIgA defines their functionality in the human upper respiratory mucosa. Higher order polymerization of SIgA (i.e., tetramers) leads to a marked increase in neutralizing activity against influenza viruses. However, the precise molecular mechanisms underlying the effects of SIgA polymerization remain elusive. Here, we developed a method for generating recombinant tetrameric monoclonal SIgAs. We then compared the anti-viral activities of these tetrameric SIgAs, which possessed variable regions identical to that of a broadly neutralizing anti-influenza antibody F045-092 against influenza A viruses, with that of monomeric IgG or IgA. The tetrameric SIgA showed anti-viral inhibitory activity superior to that of other forms only when the antibody exhibits low-affinity binding to the target. By contrast, SIgA tetramerization did not substantially modify anti-viral activity against targets with high-affinity binding. Taken together, the data suggest that tetramerization of SIgA improved target breadth, but not peak potency of antiviral functions of the broadly neutralizing anti-influenza antibody. This phenomenon presumably represents one of the mechanisms by which SIgAs present in human respiratory mucosa prevent infection by antigen-drifted influenza viruses. Understanding the mechanisms involved in cross neutralization of viruses by SIgAs might facilitate the development of vaccine strategies against viral infection of mucosal tissues. SIgAs exist as mainly dimers and tetramers and play critical roles in mucosal immune responses against influenza. Detailed characterization of these anti-viral SIgA is important for better understanding of the mechanisms underlying anti-viral immunity. Here, we describe a means of generating a recombinant tetrameric monoclonal SIgA to enable exhaustive characterization of tetrameric SIgAs. The tetrameric monoclonal SIgA possessing variable regions of anti-influenza viruses broadly neutralizing antibody show that tetramerization of SIgA improves target breadth, but not the peak potency, of their anti-viral functions. These results broaden our knowledge about the fundamental role of SIgA tetramerization in anti-viral humoral response at the human respiratory mucosa.
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Amanat F, Meade P, Strohmeier S, Krammer F. Cross-reactive antibodies binding to H4 hemagglutinin protect against a lethal H4N6 influenza virus challenge in the mouse model. Emerg Microbes Infect 2019; 8:155-168. [PMID: 30866770 PMCID: PMC6455122 DOI: 10.1080/22221751.2018.1564369] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Revised: 12/01/2018] [Accepted: 12/12/2018] [Indexed: 12/16/2022]
Abstract
Influenza viruses of the H4 subtype are widespread in wild birds, circulate in domestic poultry, readily infect mammals, and tolerate the insertion of a polybasic cleavage site. In addition, serological evidence suggests that humans working with poultry are exposed to these viruses. While H4 viruses are not of immediate pandemic concern, there is a lack of knowledge regarding their antigenicity. In order to study viruses of the H4 subtype, we generated and characterized a panel of antibodies that bind a wide variety of H4 hemagglutinins from avian and swine isolates of both the Eurasian and North American lineage. We further characterized these antibodies using novel recombinant H4N6 viruses that were found to be lethal in DBA/2J mice. Non-neutralizing antibodies, which had activity in an antibody dependent cell-mediated cytotoxicity reporter assay in vitro, protected mice against challenge in vivo, highlighting the importance of effector functions. Our data suggest a high degree of antigenic conservation of the H4 hemagglutinin.
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Affiliation(s)
- Fatima Amanat
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Graduate School of Biological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Philip Meade
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Graduate School of Biological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Shirin Strohmeier
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Florian Krammer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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19
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Protein Microarray Analysis of the Specificity and Cross-Reactivity of Influenza Virus Hemagglutinin-Specific Antibodies. mSphere 2018; 3:3/6/e00592-18. [PMID: 30541779 PMCID: PMC6291623 DOI: 10.1128/msphere.00592-18] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
Current seasonal influenza virus vaccines engender antibody-mediated protection that is hemagglutinin (HA) subtype specific and relatively short-lived. Coverage for other subtypes or even variants within a subtype could be improved from a better understanding of the factors that promote HA-specific antibody cross-reactivity. Current assays to evaluate cross-reactivity, such as the ELISA, require a separate test for each antigen and are neither high-throughput nor sample-sparing. To address this need, we produced an array of 283 purified HA proteins from influenza A virus subtypes H1 to H16 and H18 and influenza B virus. To evaluate performance, arrays were probed with sera from individuals before and after a booster dose of inactivated heterologous H5N1 vaccine and naturally infected cases at presentation and follow-up during the 2010 to 2011 influenza season, when H3N2 was prevalent. The response to the H5 vaccine boost was IgG only and confined to H5 variants. The response to natural H3N2 infection consisted of IgG and IgA and was reactive with all H3 variants displayed, as well as against other group 2 HA subtypes. In both groups, responses to HA1 proteins were subtype specific. In contrast, baseline signals were higher, and responses broader, against full-length HA proteins (HA1+HA2) compared to HA1 alone. We propose that these elevated baseline signals and breadth come from the recognition of conserved epitopes in the stalk domain by cross-reactive antibodies accumulated from previous exposure(s) to seasonal influenza virus. This array is a valuable high-throughput alternative to the ELISA for monitoring specificity and cross-reactivity of HA antibodies and has many applications in vaccine development.IMPORTANCE Seasonal influenza is a serious public health problem because the viral infection spreads easily from person to person and because of antigenic drift in neutralizing epitopes. Influenza vaccination is the most effective way to prevent the disease, although challenging because of the constant evolution of influenza virus subtypes. Our high-throughput protein microarrays allow for interrogation of subunit-specific IgG and IgA responses to 283 different HA proteins comprised of HA1 and HA2 domains as well as full-length HA proteins. This provides a tool that allows for novel insights into the response to exposure to influenza virus antigens. Data generated with our technology will enhance our understanding of the factors that improve the strength, breadth, and durability of vaccine-mediated immune responses and develop more effective vaccines.
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