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Paparoditis PCG, Fruehwirth A, Bevc K, Low JS, Jerak J, Terzaghi L, Foglierini M, Fernandez B, Jarrossay D, Corti D, Sallusto F, Lanzavecchia A, Cassotta A. Site-specific serology unveils cross-reactive monoclonal antibodies targeting influenza A hemagglutinin epitopes. Eur J Immunol 2024; 54:e2451045. [PMID: 39031535 DOI: 10.1002/eji.202451045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 07/03/2024] [Accepted: 07/05/2024] [Indexed: 07/22/2024]
Abstract
Efficient identification of human monoclonal antibodies targeting specific antigenic sites is pivotal for advancing vaccines and immunotherapies against infectious diseases and cancer. Existing screening techniques, however, limit our ability to discover monoclonal antibodies with desired specificity. In this study, we introduce a novel method, blocking of binding (BoB) enzyme-linked immunoassay (ELISA), enabling the detection of high-avidity human antibodies directed to defined epitopes. Leveraging BoB-ELISA, we analyzed the antibody response to known epitopes of influenza A hemagglutinin (HA) in the serum of vaccinated donors. Our findings revealed that serum antibodies targeting head epitopes were immunodominant, whereas antibodies against the stem epitope, although subdominant, were highly prevalent. Extending our analysis across multiple HA strains, we examined the cross-reactive antibody response targeting the stem epitope. Importantly, employing BoB-ELISA we identified donors harboring potent heterosubtypic antibodies targeting the HA stem. B-cell clonal analysis of these donors revealed three novel, genealogically independent monoclonal antibodies with broad cross-reactivity to multiple HAs. In summary, we demonstrated that BoB-ELISA is a sensitive technique for measuring B-cell epitope immunogenicity, enabling the identification of novel monoclonal antibodies with implications for enhanced vaccine development and immunotherapies.
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Affiliation(s)
- Philipp C G Paparoditis
- Institute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland
| | - Alexander Fruehwirth
- Institute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland
| | - Kajetana Bevc
- Institute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland
| | - Jun Siong Low
- Institute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland
| | - Josipa Jerak
- Institute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland
| | - Laura Terzaghi
- Institute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland
| | - Mathilde Foglierini
- Institute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland
| | - Blanca Fernandez
- Institute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland
| | - David Jarrossay
- Institute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland
| | - Davide Corti
- Humabs Biomed SA, a subsidiary of Vir Biotechnology, Bellinzona, Switzerland
| | - Federica Sallusto
- Institute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland
- Institute for Microbiology, ETH Zurich, Zurich, Switzerland
| | - Antonio Lanzavecchia
- Humabs Biomed SA, a subsidiary of Vir Biotechnology, Bellinzona, Switzerland
- National Institute of Molecular Genetics, Milano, Italy
| | - Antonino Cassotta
- Institute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland
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2
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Jia JZ, Cohen CA, Gu H, McLean MR, Varadarajan R, Bhandari N, Peiris M, Leung GM, Poon LLM, Tsang T, Chung AW, Cowling BJ, Leung NHL, Valkenburg SA. Influenza antibody breadth and effector functions are immune correlates from acquisition of pandemic infection of children. Nat Commun 2024; 15:3210. [PMID: 38615070 PMCID: PMC11016072 DOI: 10.1038/s41467-024-47590-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 04/04/2024] [Indexed: 04/15/2024] Open
Abstract
Cross-reactive antibodies with Fc receptor (FcR) effector functions may mitigate pandemic virus impact in the absence of neutralizing antibodies. In this exploratory study, we use serum from a randomized placebo-controlled trial of seasonal trivalent influenza vaccination in children (NCT00792051) conducted at the onset of the 2009 H1N1 pandemic (pH1N1) and monitored for infection. We found that seasonal vaccination increases pH1N1 specific antibodies and FcR effector functions. Furthermore, prospective baseline antibody profiles after seasonal vaccination, prior to pH1N1 infection, show that unvaccinated uninfected children have elevated ADCC effector function, FcγR3a and FcγR2a binding antibodies to multiple pH1N1 proteins, past seasonal and avian (H5, H7 and H9) strains. Whereas, children that became pH1N1 infected after seasonal vaccination have antibodies focussed to seasonal strains without FcR functions, and greater aggregated HA-specific profiles for IgM and IgG3. Modeling to predict infection susceptibility, ranked baseline hemagglutination antibody inhibition as the highest contributor to lack of pH1N1 infection, in combination with features that include pH1-IgG1, H1-stem responses and FcR binding to seasonal vaccine and pH1 proteins. Thus, seasonal vaccination can have benefits against pandemic influenza viruses, and some children already have broadly reactive antibodies with Fc potential without vaccination and may be considered 'elite influenza controllers'.
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Affiliation(s)
- Janice Z Jia
- HKU-Pasteur Research Pole, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
| | - Carolyn A Cohen
- HKU-Pasteur Research Pole, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
| | - Haogao Gu
- Division of Public Health Laboratory Sciences, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
| | - Milla R McLean
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Australia
| | | | - Nisha Bhandari
- Molecular Biophysics Unit, Indian Institute of Science, Bangalore, India
| | - Malik Peiris
- Division of Public Health Laboratory Sciences, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
- Centre for Immunology and Infection (C2i), Hong Kong Science and Technology Park, Hong Kong, SAR, China
| | - Gabriel M Leung
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
- Laboratory of Data Discovery for Health Limited, Hong Kong Science and Technology Park, Hong Kong, SAR, China
| | - Leo L M Poon
- HKU-Pasteur Research Pole, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
- Division of Public Health Laboratory Sciences, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
- Centre for Immunology and Infection (C2i), Hong Kong Science and Technology Park, Hong Kong, SAR, China
| | - Tim Tsang
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
| | - Amy W Chung
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Australia
| | - Benjamin J Cowling
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
| | - Nancy H L Leung
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
| | - Sophie A Valkenburg
- HKU-Pasteur Research Pole, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China.
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Australia.
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3
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Zedan HT, Smatti MK, Al-Sadeq DW, Al Khatib HA, Nicolai E, Pieri M, Bernardini S, Hssain AA, Taleb S, Qotba H, Issa K, Abu Raddad LJ, Althani AA, Nasrallah GK, Yassine HM. SARS-CoV-2 infection triggers more potent antibody-dependent cellular cytotoxicity (ADCC) responses than mRNA-, vector-, and inactivated virus-based COVID-19 vaccines. J Med Virol 2024; 96:e29527. [PMID: 38511514 DOI: 10.1002/jmv.29527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 02/08/2024] [Accepted: 03/01/2024] [Indexed: 03/22/2024]
Abstract
Neutralizing antibodies (NAbs) are elicited after infection and vaccination and have been well studied. However, their antibody-dependent cellular cytotoxicity (ADCC) functionality is still poorly characterized. Here, we investigated ADCC activity in convalescent sera from infected patients with wild-type (WT) severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) or omicron variant compared with three coronavirus disease 2019 (COVID-19) vaccine platforms and postvaccination breakthrough infection (BTI). We analyzed ADCC activity targeting SARS-CoV-2 spike (S) and nucleocapsid (N) proteins in convalescent sera following WT SARS-CoV-2-infection (n = 91), including symptomatic and asymptomatic infections, omicron-infection (n = 8), COVID-19 vaccination with messenger RNA- (mRNA)- (BNT162b2 or mRNA-1273, n = 77), adenovirus vector- (n = 41), and inactivated virus- (n = 46) based vaccines, as well as post-mRNA vaccination BTI caused by omicron (n = 28). Correlations between ADCC, binding, and NAb titers were reported. ADCC was elicited within the first month postinfection and -vaccination and remained detectable for ≥3 months. WT-infected symptomatic patients had higher S-specific ADCC levels than asymptomatic and vaccinated individuals. Also, no difference in N-specific ADCC activity was seen between symptomatic and asymptomatic patients, but the levels were higher than the inactivated vaccine. Notably, omicron infection showed reduced overall ADCC activity compared to WT SARS-CoV-2 infection. Although post-mRNA vaccination BTI elicited high levels of binding and NAbs, ADCC activity was significantly reduced. Also, there was no difference in ADCC levels across the four vaccines, although NAbs and binding antibody titers were significantly higher in mRNA-vaccinated individuals. All evaluated vaccine platforms are inferior in inducing ADCC compared to natural infection with WT SARS-CoV-2. The inactivated virus-based vaccine can induce N-specific ADCC activity, but its relevance to clinical outcomes requires further investigation. Our data suggest that ADCC could be used to estimate the extra-neutralization level against COVID-19 and provides evidence that vaccination should focus on other Fc-effector functions besides NAbs. Also, the decreased susceptibility of the omicron variant to ADCC offers valuable guidance for forthcoming efforts to identify the specific targets of antibodies facilitating ADCC.
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Affiliation(s)
- Hadeel T Zedan
- Infectious Diseases Department, Biomedical Research Center, Research Complex, Qatar University, Doha, Qatar
- Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha, Qatar
| | - Maria K Smatti
- Infectious Diseases Department, Biomedical Research Center, Research Complex, Qatar University, Doha, Qatar
| | - Duaa W Al-Sadeq
- College of Medicine, Member of QU Health, Qatar University, Doha, Qatar
| | - Hebah A Al Khatib
- Infectious Diseases Department, Biomedical Research Center, Research Complex, Qatar University, Doha, Qatar
| | - Eleonora Nicolai
- Department of Experimental Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Massimo Pieri
- Department of Experimental Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Sergio Bernardini
- Department of Experimental Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Ali Ait Hssain
- Medical Intensive Care Unit, Hamad Medical Corporation, Doha, Qatar
| | - Sara Taleb
- Department of Research, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Hamda Qotba
- Department of Clinical Research, Primary Health Care Centers, Doha, Qatar
- Department of Pathology, Sidra Medicine, Doha, Qatar
| | - Khodr Issa
- Proteomics, Inflammatory Response, and Mass Spectrometry (PRISM) Laboratory, INSERM U-1192, University of Lille, Lille, France
| | - Laith J Abu Raddad
- Department of Population Health Sciences, Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Asmaa A Althani
- Infectious Diseases Department, Biomedical Research Center, Research Complex, Qatar University, Doha, Qatar
- Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha, Qatar
| | - Gheyath K Nasrallah
- Infectious Diseases Department, Biomedical Research Center, Research Complex, Qatar University, Doha, Qatar
- Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha, Qatar
| | - Hadi M Yassine
- Infectious Diseases Department, Biomedical Research Center, Research Complex, Qatar University, Doha, Qatar
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4
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Zedan HT, Smatti MK, Thomas S, Nasrallah GK, Afifi NM, Hssain AA, Abu Raddad LJ, Coyle PV, Grivel JC, Almaslamani MA, Althani AA, Yassine HM. Assessment of Broadly Reactive Responses in Patients With MERS-CoV Infection and SARS-CoV-2 Vaccination. JAMA Netw Open 2023; 6:e2319222. [PMID: 37389876 PMCID: PMC10314312 DOI: 10.1001/jamanetworkopen.2023.19222] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 04/25/2023] [Indexed: 07/01/2023] Open
Abstract
Importance In the ongoing COVID-19 pandemic, there remain unanswered questions regarding the nature and importance of the humoral immune response against other coronaviruses. Although coinfection of the Middle East respiratory syndrome coronavirus (MERS-CoV) with the SARS-CoV-2 has not been documented yet, several patients previously infected with MERS-CoV received the COVID-19 vaccine; data describing how preexisting MERS-CoV immunity may shape the response to SARS-CoV-2 following infection or vaccination are lacking. Objective To characterize the cross-reactive and protective humoral responses in patients exposed to both MERS-CoV infection and SARS-CoV-2 vaccination. Design, Setting, and Participants This cohort study involved a total of 18 sera samples collected from 14 patients with MERS-CoV infection before (n = 12) and after (n = 6) vaccination with 2 doses of COVID-19 mRNA vaccine (BNT162b2 or mRNA-1273). Of those patients, 4 had prevaccination and postvaccination samples. Antibody responses to SARS-CoV-2 and MERS-CoV were assessed as well as cross-reactive responses to other human coronaviruses. Main Outcomes and Measures The main outcomes measured were binding antibody responses, neutralizing antibodies, and antibody-dependent cellular cytotoxicity (ADCC) activity. Binding antibodies targeting SARS-CoV-2 main antigens (spike [S], nucleocapsid, and receptor-binding domain) were detected using automated immunoassays. Cross-reactive antibodies with the S1 protein of SARS-CoV, MERS-CoV, and common human coronaviruses were analyzed using a bead-based assay. Neutralizing antibodies (NAbs) against MERS-CoV and SARS-CoV-2 as well as ADCC activity against SARS-CoV-2 were assessed. Results A total of 18 samples were collected from 14 male patients with MERS-CoV infection (mean [SD] age, 43.8 [14.6] years). Median (IQR) duration between primary COVID-19 vaccination and sample collection was 146 (47-189) days. Prevaccination samples had high levels of anti-MERS S1 immunoglobin M (IgM) and IgG (reactivity index ranging from 0.80 to 54.7 for IgM and from 0.85 to 176.3 for IgG). Cross-reactive antibodies with SARS-CoV and SARS-CoV-2 were also detected in these samples. However, cross-reactivity against other coronaviruses was not detected by the microarray assay. Postvaccination samples showed significantly higher levels of total antibodies, IgG, and IgA targeting SARS-CoV-2 S protein compared with prevaccination samples (eg, mean total antibodies: 8955.0 AU/mL; 95% CI, -5025.0 to 22936.0 arbitrary units/mL; P = .002). In addition, significantly higher anti-SARS S1 IgG levels were detected following vaccination (mean reactivity index, 55.4; 95% CI, -9.1 to 120.0; P = .001), suggesting potential cross-reactivity with these coronaviruses. Also, anti-S NAbs were significantly boosted against SARS-CoV-2 (50.5% neutralization; 95% CI, 17.6% to 83.2% neutralization; P < .001) after vaccination. Furthermore, there was no significant increase in antibody-dependent cellular cytotoxicity against SARS-CoV-2 S protein postvaccination. Conclusions and Relevance This cohort study found a significant boost in cross-reactive NAbs in some patients exposed to MERS-CoV and SARS-CoV-2 antigens. These findings suggest that isolation of broadly reactive antibodies from these patients may help guide the development of a pancoronavirus vaccine by targeting cross-reactive epitopes between distinct strains of human coronaviruses.
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Affiliation(s)
- Hadeel T. Zedan
- Biomedical Research Center, Research Complex, Qatar University, Doha, Qatar
- Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha, Qatar
| | - Maria K. Smatti
- Biomedical Research Center, Research Complex, Qatar University, Doha, Qatar
| | - Swapna Thomas
- Biomedical Research Center, Research Complex, Qatar University, Doha, Qatar
- Department of Biological and Environmental Sciences, College of Arts and Sciences, Qatar University, Doha, Qatar
| | - Gheyath K. Nasrallah
- Biomedical Research Center, Research Complex, Qatar University, Doha, Qatar
- Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha, Qatar
| | | | - Ali Ait Hssain
- Medical Intensive Care Unit, Hamad Medical Corporation, Doha, Qatar
| | - Laith J. Abu Raddad
- Infectious Disease Epidemiology Group, Department of Population Health Sciences, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Peter V. Coyle
- Virology laboratory, Hamad Medical Corporation, Doha, Qatar
| | | | | | - Asmaa A. Althani
- Biomedical Research Center, Research Complex, Qatar University, Doha, Qatar
- Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha, Qatar
| | - Hadi M. Yassine
- Biomedical Research Center, Research Complex, Qatar University, Doha, Qatar
- Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha, Qatar
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5
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Evaluation of commercially available fully automated and ELISA-based assays for detecting anti-SARS-CoV-2 neutralizing antibodies. Sci Rep 2022; 12:19020. [PMID: 36347859 PMCID: PMC9643483 DOI: 10.1038/s41598-022-21317-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 09/26/2022] [Indexed: 11/11/2022] Open
Abstract
Rapid and accurate measurement of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV2)-specific neutralizing antibodies (nAbs) is paramount for monitoring immunity in infected and vaccinated subjects. The current gold standard relies on pseudovirus neutralization tests which require sophisticated skills and facilities. Alternatively, recent competitive immunoassays measuring anti-SARS-CoV-2 nAbs are proposed as a quick and commercially available surrogate virus neutralization test (sVNT). Here, we report the performance evaluation of three sVNTs, including two ELISA-based assays and an automated bead-based immunoassay for detecting nAbs against SARS-CoV-2. The performance of three sVNTs, including GenScript cPass, Dynamiker, and Mindray NTAb was assessed in samples collected from SARS-CoV-2 infected patients (n = 160), COVID-19 vaccinated individuals (n = 163), and pre-pandemic controls (n = 70). Samples were collected from infected patients and vaccinated individuals 2-24 weeks after symptoms onset or second dose administration. Correlation analysis with pseudovirus neutralization test (pVNT) and immunoassays detecting anti-SARS-CoV-2 binding antibodies was performed. Receiver operating characteristic (ROC) curve analysis was generated to assess the optimal threshold for detecting nAbs by each assay. All three sVNTs showed an excellent performance in terms of specificity (100%) and sensitivity (100%, 97.0%, and 97.1% for GenScript, Dynamiker, and Mindray, respectively) in samples collected from vaccinated subjects. GenScript demonstrated the strongest correlation with pVNT (r = 0.743, R2 = 0.552), followed by Mindray (r = 0.718, R2 = 0.515) and Dynamiker (r = 0.608, R2 = 0.369). Correlation with anti-SARS-CoV-2 binding antibodies was variable, but the strongest correlations were observed between anti-RBD IgG antibodies and Mindray (r = 0.952, R2 = 0.907). ROC curve analyses demonstrated excellent performance for all three sVNT assays in both groups, with an AUC ranging between 0.99 and 1.0 (p < 0.0001). Also, it was shown that the manufacturer's recommended cutoff values could be modified based on the tested cohort without significantly affecting the sVNT performance. The sVNT provides a rapid, low-cost, and scalable alternative to conventional neutralization assays for measuring and expanding nAbs testing across various research and clinical settings. Also, it could aid in evaluating actual protective immunity at the population level and assessing vaccine effectiveness to lay a foundation for boosters' requirements.
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Shurrab FM, Younes N, Al-Sadeq DW, Liu N, Qotba H, Abu-Raddad LJ, Nasrallah GK. Performance evaluation of novel fluorescent-based lateral flow immunoassay (LFIA) for rapid detection and quantification of total anti-SARS-CoV-2 S-RBD binding antibodies in infected individuals. Int J Infect Dis 2022; 118:132-137. [PMID: 35231609 PMCID: PMC8882034 DOI: 10.1016/j.ijid.2022.02.052] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 02/19/2022] [Accepted: 02/23/2022] [Indexed: 12/28/2022] Open
Abstract
Background A vast majority of the commercially available lateral flow immunoassay (LFIA) is used to detect SARS-CoV-2 antibodies qualitatively. Recently, a novel fluorescence-based lateral flow immunoassay (LFIA) test was developed for quantitative measurement of the total binding antibody units (BAUs) (BAU/mL) against SARS-CoV-2 spike protein receptor-binding domain (S-RBD). Aim This study aimed to evaluate the performance of the fluorescence LFIA FinecareTM 2019-nCoV S-RBD test along with its reader (Model No.: FS-113). Methods Plasma from 150 reverse trancriptase–PCR (RT-PCR)-confirmed positive individuals and 100 prepandemic samples were tested by FincareTM to access sensitivity and specificity. For qualitative and quantitative validation of the FinCareTM measurements, BAU/mL results of FinCareTM were compared with results of 2 reference assays: the surrogate virus-neutralizing test (sVNT, GenScript Biotech, USA) and the VIDAS®3 automated assay (BioMérieux, France). Results FinecareTM showed 92% sensitivity and 100% specificity compared with PCR. Cohen's Kappa statistic denoted moderate and excellent agreement with sVNT and VIDAS®3, with values being 0.557 (95% CI: 0.32–0.78) and 0.731 (95% CI: 0.51–0.95), respectively. A strong correlation was observed between FinecareTM/sVNT (r = 0.7, p < 0.0001) and FinecareTM/VIDAS®3 (r = 0.8, p < 0.0001). Conclusion FinecareTM is a reliable assay and can be used as a surrogate to assess binding and neutralizing antibody response after infection or vaccination, particularly in none or small laboratory settings.
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Affiliation(s)
- Farah M Shurrab
- Biomedical Research Center, Qatar University, 2713, Doha, Qatar
| | - Nadin Younes
- Biomedical Research Center, Qatar University, 2713, Doha, Qatar; Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, 2713, Doha, Qatar
| | - Duaa W Al-Sadeq
- Biomedical Research Center, Qatar University, 2713, Doha, Qatar; College of Medicine, Member of QU Health, Qatar University, 2713, Doha, Qatar
| | - Na Liu
- Shenzhen Mindray Bio-Medical Electronics Co., Ltd., Shenzhen, China
| | - Hamda Qotba
- Department of Clinical Research, Primary Health Care Centers, 26555, Doha, Qatar
| | - Laith J Abu-Raddad
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation-Education City, 24144, Doha, Qatar; World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation-Education City, 24144, Doha, Qatar; Department of Healthcare Policy and Research, Weill Cornell Medicine, Cornell University, New York, NY, 10065, USA
| | - Gheyath K Nasrallah
- Biomedical Research Center, Qatar University, 2713, Doha, Qatar; Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, 2713, Doha, Qatar.
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7
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Al-Jighefee HT, Yassine HM, Al-Nesf MA, Hssain AA, Taleb S, Mohamed AS, Maatoug H, Mohamedali M, Nasrallah GK. Evaluation of Antibody Response in Symptomatic and Asymptomatic COVID-19 Patients and Diagnostic Assessment of New IgM/IgG ELISA Kits. Pathogens 2021; 10:161. [PMID: 33546341 PMCID: PMC7913500 DOI: 10.3390/pathogens10020161] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 01/22/2021] [Accepted: 01/26/2021] [Indexed: 01/01/2023] Open
Abstract
This study aims to study the immune response and evaluate the performances of four new IgM and five IgG enzyme-linked immunosorbent assay (ELISA) kits for detecting anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies against different antigens in symptomatic and asymptomatic coronavirus disease 2019 (COVID-19) patients. A total of 291 samples collected from symptomatic and asymptomatic RT-PCR-confirmed patients were used to evaluate the ELISA kits' performance (EDI, AnshLabs, DiaPro, NovaLisa, and Lionex). The sensitivity was measured at three different time-intervals post symptoms onset or positive SARS-CoV-2 RT-PCR test (≤14, 14-30, >30 days). The specificity was investigated using 119 pre-pandemic serum samples. The sensitivity of all IgM kits gradually decreased with time, ranging from 48.7% (EDI)-66.4% (Lionex) at ≤14 days, 29.1% (NovaLisa)-61.8% (Lionex) at 14-30 days, and 6.0% (AnshLabs)-47.9% (Lionex) at >30 days. The sensitivity of IgG kits increased with time, peaking in the latest interval (>30 days) at 96.6% (Lionex). Specificity of IgM ranged from 88.2% (Lionex)-99.2% (EDI), while IgG ranged from 75.6% (DiaPro)-98.3% (Lionex). Among all RT-PCR-positive patients, 23 samples (7.9%) were seronegative by all IgG kits, of which only seven samples (30.4%) had detectable IgM antibodies. IgM assays have variable and low sensitivity, thus considered a poor marker for COVID-19 diagnosis. IgG assays can miss at least 8% of RT-PCR-positive cases.
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Affiliation(s)
- Hadeel T. Al-Jighefee
- Biomedical Research Center, Qatar University, Doha 2713, Qatar; (H.T.A.-J.); (H.M.Y.)
- Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha 2713, Qatar
| | - Hadi M. Yassine
- Biomedical Research Center, Qatar University, Doha 2713, Qatar; (H.T.A.-J.); (H.M.Y.)
- Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha 2713, Qatar
| | - Maryam A. Al-Nesf
- Adult Allergy and Immunology Section, Department of Medicine, Hamad Medical Corporation, Doha 2713, Qatar;
| | - Ali A. Hssain
- Medical Intensive Care Unit, Hamad Medical Corporation, Doha 2713, Qatar;
| | - Sara Taleb
- Division of Genomics and Translational Biomedicine, College of Health and Life Sciences, Hamad Bin Khalifa University, Doha 2713, Qatar;
| | - Ahmed S. Mohamed
- Criticl Care Nursing Department, Hazm Mebaireek General Hospital (HMGH), Hamad Medical Corporation, Doha 2713, Qatar;
| | - Hassen Maatoug
- Nursing Deaprtment, Hamad Medical Corporation, Doha 2713, Qatar;
| | - Mohamed Mohamedali
- Department of Medicine, Hazm Mebaireek General Hospital (HMGH), Hamad Medical Corporation, Doha 2713, Qatar;
| | - Gheyath K. Nasrallah
- Biomedical Research Center, Qatar University, Doha 2713, Qatar; (H.T.A.-J.); (H.M.Y.)
- Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha 2713, Qatar
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Younes S, Al-Jighefee H, Shurrab F, Al-Sadeq DW, Younes N, Dargham SR, Al-Dewik N, Qotba H, Syed M, Alnuaimi A, Yassine HM, Tang P, Abu-Raddad LJ, Nasrallah GK. Diagnostic Efficiency of Three Fully Automated Serology Assays and Their Correlation with a Novel Surrogate Virus Neutralization Test in Symptomatic and Asymptomatic SARS-COV-2 Individuals. Microorganisms 2021; 9:245. [PMID: 33504067 PMCID: PMC7912688 DOI: 10.3390/microorganisms9020245] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 01/20/2021] [Accepted: 01/21/2021] [Indexed: 02/07/2023] Open
Abstract
To support the deployment of serology assays for population screening during the COVID-19 pandemic, we compared the performance of three fully automated SARS-CoV-2 IgG assays: Mindray CL-900i® (target: spike [S] and nucleocapsid [N]), BioMérieux VIDAS®3 (target: receptor-binding domain [RBD]) and Diasorin LIAISON®XL (target: S1 and S2 subunits). A total of 111 SARS-CoV-2 RT-PCR- positive samples collected at ≥ 21 days post symptom onset, and 127 pre-pandemic control samples were included. Diagnostic performance was assessed in correlation to RT-PCR and a surrogate virus-neutralizing test (sVNT). Moreover, cross-reactivity with other viral antibodies was investigated. Compared to RT-PCR, LIAISON®XL showed the highest overall specificity (100%), followed by VIDAS®3 (98.4%) and CL-900i® (95.3%). The highest sensitivity was demonstrated by CL-900i® (90.1%), followed by VIDAS®3 (88.3%) and LIAISON®XL (85.6%). The sensitivity of all assays was higher in symptomatic patients (91.1-98.2%) compared to asymptomatic patients (78.4-80.4%). In correlation to sVNT, all assays showed excellent sensitivities (92.2-96.1%). In addition, VIDAS®3 demonstrated the best correlation (r = 0.75) with the sVNT. The present study provides insights on the performance of three fully automated assays, which could help diagnostic laboratories in the choice of a particular assay according to the intended use.
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Affiliation(s)
- Salma Younes
- Biomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar; (S.Y.); (H.A.-J.); (F.S.); (D.W.A.-S.); (N.Y.); (H.M.Y.)
| | - Hadeel Al-Jighefee
- Biomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar; (S.Y.); (H.A.-J.); (F.S.); (D.W.A.-S.); (N.Y.); (H.M.Y.)
- Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha P.O. Box 2713, Qatar
| | - Farah Shurrab
- Biomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar; (S.Y.); (H.A.-J.); (F.S.); (D.W.A.-S.); (N.Y.); (H.M.Y.)
| | - Duaa W. Al-Sadeq
- Biomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar; (S.Y.); (H.A.-J.); (F.S.); (D.W.A.-S.); (N.Y.); (H.M.Y.)
- College of Medicine, Member of QU Health, Qatar University, Doha P.O. Box 2713, Qatar
| | - Nadin Younes
- Biomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar; (S.Y.); (H.A.-J.); (F.S.); (D.W.A.-S.); (N.Y.); (H.M.Y.)
| | - Soha R. Dargham
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation–Education City, Doha P.O. Box 24144, Qatar; (S.R.D.); (L.J.A.-R.)
- World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, Viral Hepatitis, Weill Cornell Medicine–Qatar, Cornell University, Qatar Foundation–Education City, Doha, P.O. Box 24144, Qatar
| | - Nader Al-Dewik
- Clinical and Metabolic Genetics Section, Pediatrics Department, Hamad General Hospital (HGH), Hamad Medical Corporation, Doha P.O. Box 3050, Qatar;
- Qatar Medical Genetic Center and Interim Translational Research Institute, Hamad Medical Corporation, Doha P.O. Box 3050, Qatar
- College of Health and Life Science, Hamad Bin Khalifa University, Doha P.O. Box 34110, Qatar
- Department of Pediatrics, Women’s Wellness and Research Center, Hamad Medical Corporation, Doha P.O. Box 3050, Qatar
| | - Hamda Qotba
- Department of Clinical Research, Primary Health Care Centers, Doha P.O. Box 26555, Qatar; (H.Q.); (M.S.); (A.A.)
- Department of Pathology, Sidra Medicine, Doha P.O. Box 26999, Qatar;
| | - Mohamed Syed
- Department of Clinical Research, Primary Health Care Centers, Doha P.O. Box 26555, Qatar; (H.Q.); (M.S.); (A.A.)
| | - Ahmed Alnuaimi
- Department of Clinical Research, Primary Health Care Centers, Doha P.O. Box 26555, Qatar; (H.Q.); (M.S.); (A.A.)
| | - Hadi M. Yassine
- Biomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar; (S.Y.); (H.A.-J.); (F.S.); (D.W.A.-S.); (N.Y.); (H.M.Y.)
- Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha P.O. Box 2713, Qatar
| | - Patrick Tang
- Department of Pathology, Sidra Medicine, Doha P.O. Box 26999, Qatar;
| | - Laith J. Abu-Raddad
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation–Education City, Doha P.O. Box 24144, Qatar; (S.R.D.); (L.J.A.-R.)
- World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine–Qatar, Cornell University, Qatar Foundation–Education City, Doha P.O. Box 24144, Qatar
- Department of Healthcare Policy and Research, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA
| | - Gheyath K. Nasrallah
- Biomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar; (S.Y.); (H.A.-J.); (F.S.); (D.W.A.-S.); (N.Y.); (H.M.Y.)
- Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha P.O. Box 2713, Qatar
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Yassine HM, Al-Jighefee H, Al-Sadeq DW, Dargham SR, Younes SN, Shurrab F, Marei RM, Hssain AA, Taleb S, Alhussain H, Al-Nesf MA, Al-Khal A, Qotba H, Althani AA, Tang P, Abu-Raddad LJ, Nasrallah GK. Performance evaluation of five ELISA kits for detecting anti-SARS-COV-2 IgG antibodies. Int J Infect Dis 2020; 102:181-187. [PMID: 33127504 PMCID: PMC7590641 DOI: 10.1016/j.ijid.2020.10.042] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 10/15/2020] [Accepted: 10/21/2020] [Indexed: 12/15/2022] Open
Abstract
Objectives To evaluate and compare the performances of five commercial ELISA assays (EDI, AnshLabs, Dia.Pro, NovaTec, and Lionex) for detecting anti-SARS-CoV-2 IgG. Methods Seventy negative control samples (collected before the COVID-19 pandemic) and samples from 101 RT-PCR-confirmed SARS-CoV-2 patients (collected at different time points from symptom onset: ≤7, 8–14 and >14 days) were used to compare the sensitivity, specificity, agreement, and positive and negative predictive values of each assay with RT-PCR. A concordance assessment between the five assays was also conducted. Cross-reactivity with other HCoV, non-HCoV respiratory viruses, non-respiratory viruses, and nuclear antigens was investigated. Results Lionex showed the highest specificity (98.6%; 95% CI 92.3–99.8), followed by EDI and Dia.Pro (97.1%; 95% CI 90.2–99.2), NovaTec (85.7%; 95% CI 75.7–92.1), then AnshLabs (75.7%; 95% CI 64.5–84.2). All ELISA kits cross-reacted with one anti-MERS IgG-positive sample, except Lionex. The sensitivity was low during the early stages of the disease but improved over time. After 14 days from symptom onset, Lionex and NovaTec showed the highest sensitivity at 87.9% (95% CI 72.7–95.2) and 86.4% (95% CI 78.5–91.7), respectively. The agreement with RT-PCR results based on Cohen’s kappa was as follows: Lionex (0.89) > NovaTec (0.70) > Dia.Pro (0.69) > AnshLabs (0.63) > EDI (0.55). Conclusion The Lionex and NovaLisa IgG ELISA kits, demonstrated the best overall performance.
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Affiliation(s)
- Hadi M Yassine
- Biomedical Research Center, Qatar University, Doha, Qatar; Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha, Qatar
| | - Hadeel Al-Jighefee
- Biomedical Research Center, Qatar University, Doha, Qatar; Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha, Qatar
| | - Duaa W Al-Sadeq
- Biomedical Research Center, Qatar University, Doha, Qatar; College of Medicine, Member of QU Health, Qatar University, Doha, Qatar
| | - Soha R Dargham
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation-Education City, Doha, Qatar; World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation-Education City, Doha, Qatar
| | - Salma N Younes
- Biomedical Research Center, Qatar University, Doha, Qatar; Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha, Qatar
| | - Farah Shurrab
- Biomedical Research Center, Qatar University, Doha, Qatar
| | - Reham M Marei
- Biomedical Research Center, Qatar University, Doha, Qatar
| | - Ali Ait Hssain
- Medical Intensive Care Unit, Hamad Medical Corporation, Doha, Qatar
| | - Sara Taleb
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
| | | | - Maryam A Al-Nesf
- Adult Allergy and Immunology Section, Department of Medicine, Hamad Medical Corporation, Doha, Qatar
| | | | - Hamda Qotba
- Department of Clinical Research, Primary Health Care Centers, Doha, Qatar
| | - Asmaa A Althani
- Biomedical Research Center, Qatar University, Doha, Qatar; Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha, Qatar
| | - Patrick Tang
- Department of Pathology, Sidra Medicine, Doha, Qatar
| | - Laith J Abu-Raddad
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation-Education City, Doha, Qatar; World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation-Education City, Doha, Qatar; Department of Healthcare Policy and Research, Weill Cornell Medicine, Cornell University, New York, United States
| | - Gheyath K Nasrallah
- Biomedical Research Center, Qatar University, Doha, Qatar; Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha, Qatar.
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