1
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Kosoy G, Miller BL. Two Decades of Arrayed Imaging Reflectometry for Sensitive, High-Throughput Biosensing. BIOSENSORS 2023; 13:870. [PMID: 37754104 PMCID: PMC10526495 DOI: 10.3390/bios13090870] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 08/17/2023] [Accepted: 08/25/2023] [Indexed: 09/28/2023]
Abstract
Arrayed imaging reflectometry (AIR), first introduced in 2004, is a thin-film interference sensor technique that optimizes optical properties (angle of incidence, polarization, substrate refractive index, and thickness) to create a condition of total destructive interference at the surface of a silicon substrate. The advantages of AIR are its sensitivity, dynamic range, multiplex capability, and high-throughput compatibility. AIR has been used for the detection of antibodies against coronaviruses, influenza viruses, Staphylococcus aureus, and human autoantigens. It has also shown utility in detection of cytokines, with sensitivity comparable to bead-based and ELISA assays. Not limited to antibodies or antigens, mixed aptamer and protein arrays as well as glycan arrays have been employed in AIR for differentiating influenza strains. Mixed arrays using direct and competitive inhibition assays have enabled simultaneous measurement of cytokines and small molecules. Finally, AIR has also been used to measure affinity constants, kinetic and at equilibrium. In this review, we give an overview of AIR biosensing technologies and present the latest AIR advances.
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Affiliation(s)
- Gabrielle Kosoy
- Department of Biochemistry and Biophysics, University of Rochester, Rochester, NY 14526, USA;
| | - Benjamin L. Miller
- Department of Biochemistry and Biophysics, University of Rochester, Rochester, NY 14526, USA;
- Department of Dermatology, University of Rochester, Rochester, NY 14526, USA
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2
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Klose AM, Kosoy G, Miller BL. Arrayed Imaging Reflectometry monitoring of anti-viral antibody production throughout vaccination and breakthrough Covid-19. PLoS One 2023; 18:e0277846. [PMID: 36749755 PMCID: PMC9904502 DOI: 10.1371/journal.pone.0277846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 01/26/2023] [Indexed: 02/08/2023] Open
Abstract
Immune responses to COVID-19 infection and vaccination are individual and varied. There is a need to understand the timeline of vaccination efficacy against current and yet to be discovered viral mutations. Assessing immunity to SARS-CoV-2 in the context of immunity to other respiratory viruses is also valuable. Here we demonstrate the capability of a fully automated prototype Arrayed Imaging Reflectometry system to perform reliable longitudinal serology against a 34-plex respiratory array. The array contains antigens for respiratory syncytial virus, seasonal influenza, common human coronaviruses, MERS, SARS-CoV-1, and SARS-CoV-2. AIR measures a change in reflectivity due to the binding of serum antibodies to the antigens on the array. Samples were collected from convalescent COVID-19 donors and individuals vaccinated with a two-dose mRNA vaccine regimen. Vaccinated samples were collected prior to the first dose, one week after the first dose, one week after the second dose, and monthly thereafter. Information following booster dose and/or breakthrough infection is included for a subset of subjects. Longitudinal samples of vaccinated individuals demonstrate a rise and fall of SARS-CoV-2 spike antibodies in agreement with general knowledge of the adaptive immune response and other studies. Linear Regression analysis was performed to understand the relationship between antibodies binding to different antigens on the array. Our analysis identified strong correlations between closely related influenza virus strains as well as correlations between SARS-CoV-2, SARS-CoV-1, and human coronavirus 229E. A small test of using diluted whole blood from a fingerstick provided clean arrays with antibody binding comparable to serum. Potential applications include assessing immunity in the context of exposure to multiple respiratory viruses, clinical serology, population monitoring to facilitate public health recommendations, and vaccine development against new viruses and virus mutations.
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Affiliation(s)
- Alanna M. Klose
- Department of Dermatology, University of Rochester, Rochester, New York, United States of America
- Program in Materials Science, University of Rochester, Rochester, New York, United States of America
| | - Gabrielle Kosoy
- Department of Dermatology, University of Rochester, Rochester, New York, United States of America
- Department of Biophysics and Biochemistry, University of Rochester, Rochester, New York, United States of America
| | - Benjamin L. Miller
- Department of Dermatology, University of Rochester, Rochester, New York, United States of America
- Program in Materials Science, University of Rochester, Rochester, New York, United States of America
- Department of Biophysics and Biochemistry, University of Rochester, Rochester, New York, United States of America
- Department of Biomedical Engineering, University of Rochester, Rochester, New York, United States of America
- Institute of Optics, University of Rochester, Rochester, New York, United States of America
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3
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Klose AM, Daiss JL, Ho L, Beck CA, Striemer CC, Muthukrishnan G, Miller BL. StaphAIR: A Label-Free Antigen Microarray Approach to Detecting Anti- Staphylococcus aureus Antibody Responses in Orthopedic Infections. Anal Chem 2021; 93:13580-13588. [PMID: 34596381 DOI: 10.1021/acs.analchem.1c02658] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Arrayed imaging reflectometry (AIR) is an optical biosensor platform for simple, multiplex measurement of antigen-specific antibody responses in patient blood samples. Here, we report the development of StaphAIR, an 8-plex Staphylococcus aureus antigen array on the AIR platform for profiling antigen-specific anti-S. aureus humoral immune responses. Initial validation experiments with mouse and humanized monoclonal antibodies against the S. aureus autolysin glucosaminidase (Gmd) domain, and subsequent testing with dilution series of pooled positive human serum confirmed analytically robust behavior of the array, with all antigens displaying Langmuir-type dose-response curves. Testing a cohort of 82 patients with S. aureus musculoskeletal infections (MSKI) and 30 healthy individuals enabled discrimination of individual patient responses to different S. aureus antigens, with statistical significance between osteomyelitis patients and controls obtained overall for four individual antigens (IsdA, IsdB, Gmd, and SCIN). Multivariate analyses of the antibody titers obtained from StaphAIR revealed its utility as a potential diagnostic tool for detecting S. aureus MSKI (area under the receiver operating characteristic curve (AUC) > 0.85). We conclude that StaphAIR has utility as a high-throughput immunoassay for studying and diagnosing osteomyelitis in patients.
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Affiliation(s)
- Alanna M Klose
- Department of Dermatology, University of Rochester, Rochester, New York 14627, United States
| | - John L Daiss
- Department of Orthopaedics, Center for Musculoskeletal Research, University of Rochester, Rochester, New York 14627, United States
| | - Lananh Ho
- Department of Biomedical Engineering, University of Rochester, Rochester, New York 14627, United States
| | - Christopher A Beck
- Department of Orthopaedics, Center for Musculoskeletal Research, University of Rochester, Rochester, New York 14627, United States.,Department of Biostatistics and Computational Biology, University of Rochester, Rochester, New York 14627, United States
| | | | - Gowrishankar Muthukrishnan
- Department of Orthopaedics, Center for Musculoskeletal Research, University of Rochester, Rochester, New York 14627, United States
| | - Benjamin L Miller
- Department of Dermatology, University of Rochester, Rochester, New York 14627, United States.,Department of Biomedical Engineering, University of Rochester, Rochester, New York 14627, United States
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4
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Zhang H, Klose AM, Miller BL. Label-Free, Multiplex Glycan Microarray Biosensor for Influenza Virus Detection. Bioconjug Chem 2021; 32:533-540. [PMID: 33559468 DOI: 10.1021/acs.bioconjchem.0c00718] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Newly emerging influenza viruses adapted from animal species pose significant pandemic threats to public health. An understanding of hemagglutinin (HA) receptor-binding specificity to host receptors is key to studying the adaptation of influenza viruses in humans. This information may be particularly useful for predicting the emergence of a pandemic outbreak. Therefore, high-throughput sensing technologies able to profile HA receptor binding can facilitate studies of influenza virus evolution and adaptation in humans. As a step toward this goal, we have prepared glycan-based receptor analogue microarrays on the Arrayed Imaging Reflectometry (AIR) platform. These arrays demonstrate label-free, multiplex detection and discrimination between human and avian influenza viruses. Microarrays consisting of glycan probes with 2,6 and 2,3 linkages were prepared. After first confirming their ability to capture lectins (carbohydrate-binding proteins) with known specificities, we observed that the arrays were able to discriminate between and quantify human pandemic influenza A/California/07/2009 (H1N1pdm) and avian A/Netherlands/1/2000 (H13N8) influenza viruses, respectively. As the method may be expanded to large numbers of glycans (>100) and virus subtypes (H1-H18), we anticipate it can be applied to systematically evaluate influenza virus adaptation in humans. In turn, this will facilitate global influenza surveillance and serve as a new tool enabling health organizations, governments, research institutes, and laboratories to react quickly in the face of a pandemic outbreak.
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Affiliation(s)
- Hanyuan Zhang
- Materials Science Program, University of Rochester, Rochester, New York 14627, United States.,Department of Dermatology, University of Rochester Medical Center, Rochester, New York 14642, United States
| | - Alanna M Klose
- Department of Dermatology, University of Rochester Medical Center, Rochester, New York 14642, United States
| | - Benjamin L Miller
- Materials Science Program, University of Rochester, Rochester, New York 14627, United States.,Department of Dermatology, University of Rochester Medical Center, Rochester, New York 14642, United States
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5
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Steiner DJ, Cognetti JS, Luta EP, Klose AM, Bucukovski J, Bryan MR, Schmuke JJ, Nguyen-Contant P, Sangster MY, Topham DJ, Miller BL. Array-based analysis of SARS-CoV-2, other coronaviruses, and influenza antibodies in convalescent COVID-19 patients. Biosens Bioelectron 2020; 169:112643. [PMID: 33007615 PMCID: PMC7522665 DOI: 10.1016/j.bios.2020.112643] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 09/11/2020] [Accepted: 09/18/2020] [Indexed: 02/07/2023]
Abstract
Detection of antibodies to upper respiratory pathogens is critical to surveillance, assessment of the immune status of individuals, vaccine development, and basic biology. The urgent need for antibody detection tools has proven particularly acute in the COVID-19 era. We report a multiplex label-free antigen microarray on the Arrayed Imaging Reflectometry (AIR) platform for detection of antibodies to SARS-CoV-2, SARS-CoV-1, MERS, three circulating coronavirus strains (HKU1, 229E, OC43) and three strains of influenza. We find that the array is readily able to distinguish uninfected from convalescent COVID-19 subjects, and provides quantitative information about total Ig, as well as IgG- and IgM-specific responses.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Mark Y Sangster
- Microbiology and Immunology, University of Rochester, Rochester, NY 14642, USA
| | - David J Topham
- Microbiology and Immunology, University of Rochester, Rochester, NY 14642, USA
| | - Benjamin L Miller
- Biochemistry and Biophysics, USA; Biomedical Engineering, USA; Dermatology, USA.
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6
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Segovia KM, França MS, Bahnson CS, Latorre-Margalef N, Stallknecht DE. Are Microneutralization and Hemagglutination Inhibition Assays Comparable? Serological Results from Influenza Experimentally Infected Mallard Ducks. Avian Dis 2020; 63:138-144. [PMID: 31131570 DOI: 10.1637/11886-042718-reg.1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Accepted: 08/04/2018] [Indexed: 11/05/2022]
Abstract
The hemagglutination inhibition (HI) assay is commonly used to assess the humoral immune response against influenza A viruses (IAV). However, the microneutralization (MN) assay has been reported to have higher sensitivity when testing sera from humans and other species. Our objective was to determine the agreement between MN and HI assays and compare the proportion of positive samples detected by both methods in sera of mallards primary infected with the A/mallard/MN/Sg-000169/ 2007 (H3N8) virus and subsequently inoculated with homosubtypic or heterosubtypic IAV. Overall, we found poor to fair agreement (prevalence-adjusted bias-adjusted kappa [PABAK], 0.03-0.35) between MN and HI assays in serum samples collected 2 weeks after H3N8 inoculation; the observed agreement increased to moderate or substantial in samples collected 4 to 5 weeks postinoculation (WPI) (PABAK, 0.52-0.75). The MN assay detected a higher proportion of positive samples compared with HI assays in serum samples collected 2 WPI (P = 0.01). This difference was not observed in samples collected 4 WPI. Also, a boosting effect in MN and HI titers was observed when birds were subsequently inoculated with IAV within the same H3 clade. This effect was not observed when birds were challenged with viruses that belong to a different HA clade. In summary, the agreement between assays varies depending on the postinfection sample collection time point and the similarity between the antigens used for the assays. Additionally, subsequent exposure of ducks to homosubtypic or heterosubtypic strains might affect the observed agreement.
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Affiliation(s)
- Karen M Segovia
- Poultry Diagnostic and Research Center, The University of Georgia, Athens, GA 30602
| | - Monique S França
- Poultry Diagnostic and Research Center, The University of Georgia, Athens, GA 30602
| | - Charlie S Bahnson
- Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30606
| | - Neus Latorre-Margalef
- Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30606.,Department of Biology, Lund University, Lund, Sweden
| | - David E Stallknecht
- Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30606,
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7
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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: 1.2] [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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8
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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: 1.3] [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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9
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Zhang H, Miller BL. Immunosensor-based label-free and multiplex detection of influenza viruses: State of the art. Biosens Bioelectron 2019; 141:111476. [PMID: 31272058 PMCID: PMC6717022 DOI: 10.1016/j.bios.2019.111476] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 06/18/2019] [Accepted: 06/24/2019] [Indexed: 12/20/2022]
Abstract
The ability of influenza viruses to rapidly evolve has caused significant challenges in viral surveillance, diagnosis, and therapeutic development. Molecular sequencing methods, though powerful tools for monitoring influenza evolution at the genetic level, are not able to fully characterize the antigenic properties of influenza viruses. Understanding influenza virus antigenicity is critical to vaccine development and disease prevention. Traditional immunoassays which have been widely used for evaluating influenza antigenicity have limited throughput. To alleviate these problems, new bioanalytical tools to investigate influenza antigenicity by measuring antibody-antigen binding are an active area of research. Herein, we review immunosensor technologies from the aspects of various sensing principles, while highlighting recent developments in multiplex, label-free detection strategies. Highlighted technologies include electrochemical immunosensors relying on impedimetric detection; these demonstrate simple design and cost effectiveness for mass production. Antibody arrays implemented on an optical interferometric sensor system allow systematic characterization of influenza antigenicity. Quartz microbalance immunosensors are highly sensitive but have yet to be explored for multiplex sensing. Immunosensors made on lateral flow strips have shown promise in rapid diagnosis of influenza subtypes. We anticipate that these and other technologies discussed in the review will facilitate advances in the study of influenza, and other viral pathogens.
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Affiliation(s)
- Hanyuan Zhang
- Department of Dermatology, University of Rochester Medical Center, 601 Elmwood Avenue Box 697, Rochester, NY, 14642, USA; Materials Science Program, University of Rochester, 500 Joseph C. Wilson Blvd. Box 270216, Rochester, NY, 14627, USA
| | - Benjamin L Miller
- Department of Dermatology, University of Rochester Medical Center, 601 Elmwood Avenue Box 697, Rochester, NY, 14642, USA; Materials Science Program, University of Rochester, 500 Joseph C. Wilson Blvd. Box 270216, Rochester, NY, 14627, USA.
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10
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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: 17] [Impact Index Per Article: 2.8] [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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11
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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: 2.8] [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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12
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Wang WH, Erazo EM, Ishcol MRC, Lin CY, Assavalapsakul W, Thitithanyanont A, Wang SF. Virus-induced pathogenesis, vaccine development, and diagnosis of novel H7N9 avian influenza A virus in humans: a systemic literature review. J Int Med Res 2019; 48:300060519845488. [PMID: 31068040 PMCID: PMC7140199 DOI: 10.1177/0300060519845488] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
H7N9 avian influenza virus (AIV) caused human infections in 2013 in China.
Phylogenetic analyses indicate that H7N9 AIV is a novel reassortant strain with
pandemic potential. We conducted a systemic review regarding virus-induced
pathogenesis, vaccine development, and diagnosis of H7N9 AIV infection in
humans. We followed PRISMA guidelines and searched PubMed, Web of Science, and
Google Scholar to identify relevant articles published between January 2013 and
December 2018. Pathogenesis data indicated that H7N9 AIV belongs to low
pathogenic avian influenza, which is mostly asymptomatic in avian species;
however, H7N9 induces high mortality in humans. Sporadic human infections have
recently been reported, caused by highly pathogenic avian influenza viruses
detected in poultry. H7N9 AIVs resistant to adamantine and oseltamivir cause
severe human infection by rapidly inducing progressive acute community-acquired
pneumonia, multiorgan dysfunction, and cytokine dysregulation; however,
mechanisms via which the virus induces severe syndromes remain unclear. An H7N9
AIV vaccine is lacking; designs under evaluation include synthesized peptide,
baculovirus-insect system, and virus-like particle vaccines. Molecular diagnosis
of H7N9 AIVs is suggested over conventional assays, for biosafety reasons.
Several advanced or modified diagnostic assays are under investigation and
development. We summarized virus-induced pathogenesis, vaccine development, and
current diagnostic assays in H7N9 AIVs.
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Affiliation(s)
- Wen-Hung Wang
- Division of Infectious Disease, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung.,Center for Infectious Disease and Cancer Research, Kaohsiung Medical University, Kaohsiung
| | - Esmeralda Merari Erazo
- Department of Medical Laboratory Science and Biotechnology, Kaohsiung Medical University, Kaohsiung
| | - Max R Chang Ishcol
- Program in Tropical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung
| | - Chih-Yen Lin
- Center for Infectious Disease and Cancer Research, Kaohsiung Medical University, Kaohsiung.,Department of Medical Laboratory Science and Biotechnology, Kaohsiung Medical University, Kaohsiung
| | - Wanchai Assavalapsakul
- Department of Microbiology, Faculty of Science, Chulalongkorn University, Bangkok, Thailand
| | | | - Sheng-Fan Wang
- Center for Infectious Disease and Cancer Research, Kaohsiung Medical University, Kaohsiung.,Department of Medical Laboratory Science and Biotechnology, Kaohsiung Medical University, Kaohsiung.,Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung
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13
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Zhang H, Henry C, Anderson CS, Nogales A, DeDiego ML, Bucukovski J, Martinez-Sobrido L, Wilson PC, Topham DJ, Miller BL. Crowd on a Chip: Label-Free Human Monoclonal Antibody Arrays for Serotyping Influenza. Anal Chem 2018; 90:9583-9590. [PMID: 29985597 PMCID: PMC6082710 DOI: 10.1021/acs.analchem.8b02479] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Rapid changes in influenza A virus (IAV) antigenicity create challenges in surveillance, disease diagnosis, and vaccine development. Further, serological methods for studying antigenic properties of influenza viruses often rely on animal models and therefore may not fully reflect the dynamics of human immunity. We hypothesized that arrays of human monoclonal antibodies (hmAbs) to influenza could be employed in a pattern-recognition approach to expedite IAV serology and to study the antigenic evolution of newly emerging viruses. Using the multiplex, label-free Arrayed Imaging Reflectometry (AIR) platform, we have demonstrated that such arrays readily discriminated among various subtypes of IAVs, including H1, H3 seasonal strains, and avian-sourced human H7 viruses. Array responses also allowed the first determination of antigenic relationships among IAV strains directly from hmAb responses. Finally, correlation analysis of antibody binding to all tested IAV subtypes allowed efficient identification of broadly reactive clones. In addition to specific applications in the context of understanding influenza biology with potential utility in "universal" flu vaccine development, these studies validate AIR as a platform technology for studying antigenic properties of viruses and also antibody properties in a high-throughput manner. We further anticipate that this approach will facilitate advances in the study of other viral pathogens.
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Affiliation(s)
- Hanyuan Zhang
- Department of Dermatology, University of Rochester Medical Center, Rochester, New York 14642
- Materials Science Program, University of Rochester, Rochester, New York 14627
| | - Carole Henry
- Department of Medicine, University of Chicago, Chicago, Illinois 60637
| | - Christopher S. Anderson
- Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, New York 14642
| | - Aitor Nogales
- Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, New York 14642
| | - Marta L. DeDiego
- Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, New York 14642
| | - Joseph Bucukovski
- Department of Dermatology, University of Rochester Medical Center, Rochester, New York 14642
| | - Luis Martinez-Sobrido
- Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, New York 14642
| | - Patrick C. Wilson
- Department of Medicine, University of Chicago, Chicago, Illinois 60637
| | - David J. Topham
- Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, New York 14642
| | - Benjamin L. Miller
- Department of Dermatology, University of Rochester Medical Center, Rochester, New York 14642
- Materials Science Program, University of Rochester, Rochester, New York 14627
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14
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Label-free microarray-based detection of autoantibodies in human serum. J Immunol Methods 2018; 459:44-49. [DOI: 10.1016/j.jim.2018.05.011] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Revised: 04/16/2018] [Accepted: 05/10/2018] [Indexed: 12/23/2022]
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15
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Development of an influenza virus protein microarray to measure the humoral response to influenza virus infection in mallards. Emerg Microbes Infect 2017; 6:e110. [PMID: 29209053 PMCID: PMC5750464 DOI: 10.1038/emi.2017.98] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2017] [Revised: 10/19/2017] [Accepted: 10/22/2017] [Indexed: 02/02/2023]
Abstract
Avian influenza viruses pose a serious zoonotic threat, in part because current seasonal influenza virus vaccines only offer strain-specific protection, instead of heterosubtypic or universal protection against influenza virus infection. Understanding the humoral response to vaccination and natural infection in the broadest context possible is important to developing defenses against influenza zoonosis. Protein microarrays are a novel platform well suited to assaying the humoral immune response broadly and efficiently. We developed an influenza virus protein microarray (IVPM) that could be used to assay sera from many species, including humans. Waterfowl such as mallard ducks are natural reservoirs for many influenza A viruses, but their humoral immune response to infection is poorly understood. To establish this technology, we assayed sera from mallards experimentally infected with two low-pathogenic common avian influenza viruses (H3N8 and H4N5) for reactivity to influenza virus hemagglutinin (HA) by IVPM. The IVPM results correlated well with results from an established enzyme-linked immunosorbent assay, supporting the validity of the IVPM as a serological assay in influenza virus research. Interestingly, successive infection with H3N8 followed by H4N5 virus in mallard ducks induced antibodies that were broadly reactive against group 2 hemagglutinins. We also analyzed sera from wild mallards and observed serological evidence for infection in those sera. With serological information, it may be possible to infer infection history of wild avian species and gain a better understanding of the infection dynamics of influenza viruses in their natural reservoir. This might ultimately lead to interventions that enhance our pandemic preparedness.
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