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Mohr NM, Plumb ID, Santos León E, Pinckney M, Harland KK, Krishnadasan A, Hoth KF, Rwamwejo F, Haran JP, Briggs-Hagen M, Kontowicz E, Talan DA. Symptoms Six Weeks After COVID-19 Are Reduced Among US Health Care Personnel Receiving Additional Vaccine Doses During the Omicron Period, December 2021-April 2022. Open Forum Infect Dis 2024; 11:ofae545. [PMID: 39416989 PMCID: PMC11481461 DOI: 10.1093/ofid/ofae545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Accepted: 09/17/2024] [Indexed: 10/19/2024] Open
Abstract
Background The objective of this study was to test the hypothesis that subsequent doses of the coronavirus disease 2019 (COVID-19) vaccine are associated with lower incidence of COVID-19-like symptoms at 6 weeks after infection. Methods This study was a case-control analysis of health care personnel in an ongoing multicenter COVID-19 vaccine effectiveness study. We enrolled participants at the time of COVID-19-like symptoms between December 19, 2021, and April 27, 2022, which corresponded to the early Omicron-predominant period after original monovalent severe acute respiratory syndrome coronavirus 2 additional vaccination doses became available. Our outcome was self-reported symptoms completed 6 weeks after the onset of symptoms. Results We enrolled 2478 participants, of whom 1422 (57%) had COVID-19. The prevalence of symptoms at 6 weeks was 26% (n = 373) in those with COVID-19 and 18% (n = 195) in those without COVID-19. Fatigue (11%) and difficulty sleeping (7%) were most strongly associated with COVID-19. A total of 1643 (66%) participants received a subsequent vaccine dose (after the primary series). Participants with COVID-19 who had received a subsequent vaccination had lower odds of symptoms at 6 weeks (adjusted odds ratio [aOR], 0.55; 95% CI, 0.43-0.70), but this relationship was not observed in those without COVID-19 (aOR, 0.87; 95% CI, 0.59-1.29). Conclusions Health care personnel who received subsequent doses of original monovalent COVID-19 vaccine had a lower prevalence of symptoms at 6 weeks than those that did not.
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Affiliation(s)
| | - Ian D Plumb
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Atlanta, Georgia, USA
| | | | | | | | - Anusha Krishnadasan
- Olive View-and Ronald Reagan University of California Los Angeles Medical Center, Los Angeles, California, USA
| | | | - Fernand Rwamwejo
- Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA
| | - John P Haran
- University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Melissa Briggs-Hagen
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Atlanta, Georgia, USA
| | | | - David A Talan
- University of Iowa, City Iowa, Iowa, USA
- Olive View-and Ronald Reagan University of California Los Angeles Medical Center, Los Angeles, California, USA
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Katoh S, Yasuda I, Kitakawa K, Hamaguchi S, Sando E. Exploratory study of antibody titers against SARS-CoV-2 using an indirect immunoperoxidase assay in COVID-19 patients and vaccinated volunteers. Trop Med Health 2024; 52:65. [PMID: 39343951 PMCID: PMC11439312 DOI: 10.1186/s41182-024-00635-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Accepted: 09/17/2024] [Indexed: 10/01/2024] Open
Abstract
BACKGROUND A number of antibody test kits for detecting prior SARS-CoV-2 infection and post-immunization status have been commercialized. Indirect immunoperoxidase assay (IIP) is a conventional method to test antibodies. We evaluated the diagnostic accuracy and antibody titer profile of the IIP in COVID-19 and pre- and post-vaccination. METHODS We conducted a hospital-based observational study in Fukushima prefecture, Japan. We enrolled COVID-19 inpatients who tested positive by PCR. We used serum samples collected > 10 years before the pandemic as the negative control. We also included volunteers vaccinated at the hospital. All participants were tested using an IIP with whole-cell antigen of the six SARS-CoV-2 variants isolated in Japan during the epidemic and an IgG ELISA kit. Negative controls and vaccinated volunteers were also tested using a lateral flow assay (LFA) kit. We conducted receiver operating characteristic (ROC) analysis to evaluate diagnostic accuracy and performed logistic regression analysis to explore factors associated with antibody titer. RESULTS We included 146 COVID-19 inpatients, 38 negative controls, and 36 vaccinated volunteers. Most participants had the highest titer for IgG and IgM in the wild type-A antigen among the six variants. The sensitivity, specificity, and accuracy of the IgG ELISA kit were 60.3%, 100%, and 68.5%; of the IIP for IgG with the cutoff titer at 1:80, 82.2%, 94.7%, and 84.8%, respectively. The ROC curves of the ELISA and IIP for IgG were almost identical. In the IgG tests of the 36 volunteers, 35 were positive for ELISA and IIP and 34 for LFA after two vaccinations. IgM titers in the IIP were < = 1:40 in 114 patients and 32 volunteers after two vaccinations; therefore, the IgM titer is unsuitable for diagnosis. In COVID-19 patients, age, days from disease onset, > = 7 days after the second vaccination, and immunosuppressants for comorbidity were associated with IgG titer of > = 1:640 in the IIP. CONCLUSIONS The diagnostic accuracy of the IIP for detecting IgG antibodies in COVID-19 or after two vaccinations is equivalent to that of an ELISA. Further investigations are required to address the association between antibody titers in the IIP and their protective or harmful effects against COVID-19.
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Affiliation(s)
- Shungo Katoh
- Department of General Internal Medicine and Clinical Infectious Diseases, Fukushima Medical University, Fukushima, Japan.
- Department of General Internal Medicine and Infectious Diseases, Kita-Fukushima Medical Center, Fukushima, Japan.
- Institute of Rickettsioses, Kita-Fukushima Medical Center, Fukushima, Japan.
- Imadachi Internal Medicine Clinic, Fukuoka, Japan.
| | - Ikkoh Yasuda
- Department of General Internal Medicine and Clinical Infectious Diseases, Fukushima Medical University, Fukushima, Japan
- Department of General Internal Medicine and Infectious Diseases, Kita-Fukushima Medical Center, Fukushima, Japan
- Institute of Rickettsioses, Kita-Fukushima Medical Center, Fukushima, Japan
| | - Kazuhiro Kitakawa
- Department of Microbiology, Fukushima Prefectural Institute of Public Health, Fukushima, Japan
| | - Sugihiro Hamaguchi
- Department of General Internal Medicine and Clinical Infectious Diseases, Fukushima Medical University, Fukushima, Japan
- Department of General Internal Medicine, Fukushima Medical University Hospital, Fukushima, Japan
| | - Eiichiro Sando
- Department of General Internal Medicine and Clinical Infectious Diseases, Fukushima Medical University, Fukushima, Japan
- Department of General Internal Medicine and Infectious Diseases, Kita-Fukushima Medical Center, Fukushima, Japan
- Institute of Rickettsioses, Kita-Fukushima Medical Center, Fukushima, Japan
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Stumpf J, Siepmann T, Schwöbel J, Karger C, Lindner TH, Faulhaber-Walter R, Langer T, Escher K, Anding-Rost K, Seidel H, Hüther J, Pistrosch F, Martin H, Schewe J, Stehr T, Meistring F, Paliege A, Schneider D, Steglich A, Gembardt F, Kessel F, Kröger H, Arndt P, Sradnick J, Frank K, Klimova A, Mauer R, Roeder I, Tonn T, Hugo C. Hybrid Immunity Protects against Antibody Fading after SARS-CoV-2mRNA Vaccination in Kidney Transplant Recipients, Dialysis Patients, and Medical Personnel: 9 Months Data from the Prospective, Observational Dia-Vacc Study. Vaccines (Basel) 2024; 12:801. [PMID: 39066439 PMCID: PMC11281450 DOI: 10.3390/vaccines12070801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Revised: 07/04/2024] [Accepted: 07/16/2024] [Indexed: 07/28/2024] Open
Abstract
(1) Background: Compared to medical personnel, SARS-CoV-2mRNA vaccination-related positive immunity rates, levels, and preservation over time in dialysis and kidney transplant patients are reduced. We hypothesized that COVID-19 pre-exposure influences both vaccination-dependent immunity development and preservation in a group-dependent manner. (2) Methods: We evaluated 2- and 9-month follow-up data in our observational Dia-Vacc study, exploring specific cellular (interferon-γ release assay = IGRA) and/or humoral immune responses (IgA/IgG/RBD antibodies) after two SARS-CoV-2mRNA vaccinations in 2630 participants, including medical personnel (301-MP), dialysis patients (1841-DP), and kidney transplant recipients (488-KTR). Study participants were also separated into COVID-19 pre-exposure (hybrid immunity) positive (n = 407) versus negative (n = 2223) groups. (3) Results: COVID-19 pre-exposure improved most vaccination-related positive immunity rates in KTR and DP at 2 months but not in MP, where rates reached almost 100% independent of hybrid immunity. In the COVID-19-negative study, patients' immunity faded between two and nine months, evaluated via the percentage of patients with an RBD antibody decrease >50%, and was markedly group- (MP-17.8%, DP-52.2%, and KTR-38.6%) and vaccine type-dependent. In contrast, in all patient groups with COVID-19, pre-exposure RBD antibody decreases of >50% were similarly rare (MP-4.3%, DP-7.2%, and KTR-0%) but still vaccine type-dependent, with numerically reduced numbers in mRNA-1273- versus BNT162b2mRNA-treated patients. Multivariable regression analysis of RBD antibody changes between two and nine months by interval scale categorization confirmed COVID-19 pre-exposure as a factor in inhibiting strong RBD Ab fading. COVID-19 pre-exposure in MP and DP also numerically reduced T-cell immunity fading. In DP, symptomatic (versus asymptomatic) COVID-19 pre-exposure was identified as a factor in reducing strong RBD Ab fading after vaccination. (4) Conclusions: After mRNA vaccination, immunity positivity rates in DP and KTR but not MP, as well as immunity preservation in MP/DP/KTR, are markedly improved via prior COVID-19 infection. In DP, prior symptomatic compared to asymptomatic COVID-19 disease was particularly effective in blocking immunity fading after mRNA vaccination.
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Affiliation(s)
- Julian Stumpf
- Department of Internal Medicine III, Division of Nephrology, University Hospital Carl Gustav Carus at the Technische Universität Dresden, Fetscherstraße 74, 01307 Dresden, Germany; (J.S.); (A.P.); (D.S.); (A.S.); (F.G.); (F.K.); (H.K.); (P.A.); (J.S.)
- KfH-Nierenzentrum Dresden, Fetscherstraße 73, 01307 Dresden, Germany
| | - Torsten Siepmann
- KfH-Nierenzentrum am Klinikum Chemnitz, Krankenhaus Küchwald, Bürgerstraße 2, 09113 Chemnitz, Germany;
| | - Jörg Schwöbel
- Dialysezentrum Chemnitz, Forststraße 22, 09130 Chemnitz, Germany;
| | - Claudia Karger
- KfH-Nierenzentrum am Klinikum St. Georg, Delitzscher Straße 141, 04129 Leipzig, Germany;
| | - Tom H. Lindner
- Division of Nephrology, University Hospital Leipzig, Liebigstraße 20, 04103 Leipzig, Germany;
| | | | - Torsten Langer
- Dialysezentrum Annaberg, Geyersdorfer Hauptstraße 4, 09456 Annaberg-Buchholz, Germany;
| | - Katja Escher
- KfH-Gesundheitszentrum Aue, Albert-Schweitzer-Straße 33, 08280 Aue-Bad-Schlema, Germany;
| | - Kirsten Anding-Rost
- KfH-Nierenzentrum Bischofswerda, Kamenzer Straße 51, 01877 Bischofswerda, Germany;
| | - Harald Seidel
- KfH-Nierenzentrum am Vogtland Krankenhaus Plauen, Röntgenstraße 6, 08529 Plauen, Germany;
| | - Jan Hüther
- Nephrocare GmbH Döbeln, Grimmaische Straße 23, 04720 Döbeln, Germany;
| | - Frank Pistrosch
- Nephrologisches Zentrum Hoyerswerda, Liselotte-Herrmann-Straße 13, 02977 Hoyerswerda, Germany;
| | - Heike Martin
- Nephrologisches Zentrum Zwickau, Hilfegottesschachtstraße 3, 08056 Zwickau, Germany;
| | - Jens Schewe
- Dialyse- und Nierenambulanz Sebnitz, Götzingerstraße 8, 01855 Sebnitz, Germany;
| | - Thomas Stehr
- KfH-Nierenzentrum Bautzen, Schäfferstraße 27, 02625 Bautzen, Germany;
| | - Frank Meistring
- KfH-Nierenzentrum am Städtischen Klinikum Görlitz, Girbigsdorfer Straße 26, 02828 Görlitz, Germany;
| | - Alexander Paliege
- Department of Internal Medicine III, Division of Nephrology, University Hospital Carl Gustav Carus at the Technische Universität Dresden, Fetscherstraße 74, 01307 Dresden, Germany; (J.S.); (A.P.); (D.S.); (A.S.); (F.G.); (F.K.); (H.K.); (P.A.); (J.S.)
| | - Daniel Schneider
- Department of Internal Medicine III, Division of Nephrology, University Hospital Carl Gustav Carus at the Technische Universität Dresden, Fetscherstraße 74, 01307 Dresden, Germany; (J.S.); (A.P.); (D.S.); (A.S.); (F.G.); (F.K.); (H.K.); (P.A.); (J.S.)
| | - Anne Steglich
- Department of Internal Medicine III, Division of Nephrology, University Hospital Carl Gustav Carus at the Technische Universität Dresden, Fetscherstraße 74, 01307 Dresden, Germany; (J.S.); (A.P.); (D.S.); (A.S.); (F.G.); (F.K.); (H.K.); (P.A.); (J.S.)
| | - Florian Gembardt
- Department of Internal Medicine III, Division of Nephrology, University Hospital Carl Gustav Carus at the Technische Universität Dresden, Fetscherstraße 74, 01307 Dresden, Germany; (J.S.); (A.P.); (D.S.); (A.S.); (F.G.); (F.K.); (H.K.); (P.A.); (J.S.)
| | - Friederike Kessel
- Department of Internal Medicine III, Division of Nephrology, University Hospital Carl Gustav Carus at the Technische Universität Dresden, Fetscherstraße 74, 01307 Dresden, Germany; (J.S.); (A.P.); (D.S.); (A.S.); (F.G.); (F.K.); (H.K.); (P.A.); (J.S.)
| | - Hannah Kröger
- Department of Internal Medicine III, Division of Nephrology, University Hospital Carl Gustav Carus at the Technische Universität Dresden, Fetscherstraße 74, 01307 Dresden, Germany; (J.S.); (A.P.); (D.S.); (A.S.); (F.G.); (F.K.); (H.K.); (P.A.); (J.S.)
| | - Patrick Arndt
- Department of Internal Medicine III, Division of Nephrology, University Hospital Carl Gustav Carus at the Technische Universität Dresden, Fetscherstraße 74, 01307 Dresden, Germany; (J.S.); (A.P.); (D.S.); (A.S.); (F.G.); (F.K.); (H.K.); (P.A.); (J.S.)
| | - Jan Sradnick
- Department of Internal Medicine III, Division of Nephrology, University Hospital Carl Gustav Carus at the Technische Universität Dresden, Fetscherstraße 74, 01307 Dresden, Germany; (J.S.); (A.P.); (D.S.); (A.S.); (F.G.); (F.K.); (H.K.); (P.A.); (J.S.)
| | - Kerstin Frank
- Institut für Transfusionsmedizin Plauen, DRK-Blutspendedienst Nord-Ost Gemeinnützige GmbH, Röntgenstraße 2a, 08529 Plauen, Germany;
| | - Anna Klimova
- National Centre for Tumor Diseases (NCT) Partner Site Dresden, Fiedlerstraße 23, 01307 Dresden, Germany;
| | - René Mauer
- Faculty of Medicine Carl Gustav Carus, Institute for Medical Informatics and Biometry (IMB), Technische Universität, Blasewitzer Straße 86, 01307 Dresden, Germany; (R.M.); (I.R.)
| | - Ingo Roeder
- Faculty of Medicine Carl Gustav Carus, Institute for Medical Informatics and Biometry (IMB), Technische Universität, Blasewitzer Straße 86, 01307 Dresden, Germany; (R.M.); (I.R.)
| | - Torsten Tonn
- Institute for Transfusion Medicine, German Red Cross Blood Donation Service North-East, Blasewitzer Straße 68/70, 01307 Dresden, Germany;
- Faculty of Medicine Carl Gustav Carus, Transfusion Medicine, Technische Universität, Fetscherstraße 74, 01307 Dresden, Germany
| | - Christian Hugo
- Department of Internal Medicine III, Division of Nephrology, University Hospital Carl Gustav Carus at the Technische Universität Dresden, Fetscherstraße 74, 01307 Dresden, Germany; (J.S.); (A.P.); (D.S.); (A.S.); (F.G.); (F.K.); (H.K.); (P.A.); (J.S.)
- KfH-Nierenzentrum Dresden, Fetscherstraße 73, 01307 Dresden, Germany
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Bouman JA, Hauser A, Grimm SL, Wohlfender M, Bhatt S, Semenova E, Gelman A, Althaus CL, Riou J. Bayesian workflow for time-varying transmission in stratified compartmental infectious disease transmission models. PLoS Comput Biol 2024; 20:e1011575. [PMID: 38683878 PMCID: PMC11081492 DOI: 10.1371/journal.pcbi.1011575] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 05/09/2024] [Accepted: 04/12/2024] [Indexed: 05/02/2024] Open
Abstract
Compartmental models that describe infectious disease transmission across subpopulations are central for assessing the impact of non-pharmaceutical interventions, behavioral changes and seasonal effects on the spread of respiratory infections. We present a Bayesian workflow for such models, including four features: (1) an adjustment for incomplete case ascertainment, (2) an adequate sampling distribution of laboratory-confirmed cases, (3) a flexible, time-varying transmission rate, and (4) a stratification by age group. Within the workflow, we benchmarked the performance of various implementations of two of these features (2 and 3). For the second feature, we used SARS-CoV-2 data from the canton of Geneva (Switzerland) and found that a quasi-Poisson distribution is the most suitable sampling distribution for describing the overdispersion in the observed laboratory-confirmed cases. For the third feature, we implemented three methods: Brownian motion, B-splines, and approximate Gaussian processes (aGP). We compared their performance in terms of the number of effective samples per second, and the error and sharpness in estimating the time-varying transmission rate over a selection of ordinary differential equation solvers and tuning parameters, using simulated seroprevalence and laboratory-confirmed case data. Even though all methods could recover the time-varying dynamics in the transmission rate accurately, we found that B-splines perform up to four and ten times faster than Brownian motion and aGPs, respectively. We validated the B-spline model with simulated age-stratified data. We applied this model to 2020 laboratory-confirmed SARS-CoV-2 cases and two seroprevalence studies from the canton of Geneva. This resulted in detailed estimates of the transmission rate over time and the case ascertainment. Our results illustrate the potential of the presented workflow including stratified transmission to estimate age-specific epidemiological parameters. The workflow is freely available in the R package HETTMO, and can be easily adapted and applied to other infectious diseases.
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Affiliation(s)
- Judith A. Bouman
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Multidisciplinary Center for Infectious Diseases, University of Bern, Bern, Switzerland
| | - Anthony Hauser
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Institut national de la santé et de la recherche médicale Sorbonne Université (INSERM), Sorbonne Université, Paris, France
| | - Simon L. Grimm
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Center for Space and Habitability, University of Bern, Bern, Switzerland
| | - Martin Wohlfender
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Multidisciplinary Center for Infectious Diseases, University of Bern, Bern, Switzerland
| | - Samir Bhatt
- MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, United Kingdom
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Elizaveta Semenova
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - Andrew Gelman
- Department of Statistics, Columbia University, New York, New York, United States of America
- Department of Political Science, Columbia University, New York, New York, United States of America
| | - Christian L. Althaus
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Multidisciplinary Center for Infectious Diseases, University of Bern, Bern, Switzerland
| | - Julien Riou
- Department of Epidemiology and Health Systems, Unisanté, Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland
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Gerhards C, Steingass M, Heininger A, Lange B, Hetjens M, Gerigk M, Neumaier M, Evliyaoglu O, Kittel M. The Impact of Clinical Factors and SARS-CoV-2 Variants on Antibody Production in Vaccinated German Healthcare Professionals Infected Either with the Delta or the Omicron Variant. Vaccines (Basel) 2024; 12:163. [PMID: 38400146 PMCID: PMC10893335 DOI: 10.3390/vaccines12020163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 01/22/2024] [Accepted: 02/02/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND The aim of the rapid introduction of vaccines during the COVID-19 pandemic was a reduction in SARS-CoV-2 transmission and a less frequent occurrence of severe COVID-19 courses. Thus, we evaluated COVID-19 severity in vaccinated individuals to examine variant-specific symptom characteristics and their clinical impact on the serological immune response. METHODS A total of 185 individuals previously vaccinated against and infected with the SARS-CoV-2 Delta (B.1.617.2) or Omicron (BA.4 and BA.5) variant, were enrolled for anti-SARS-CoV-2 anti-N- and anti-RBD/S1-Ig level detection. A structured survey regarding medical history was conducted. RESULTS In 99.5 percent of cases, outpatient treatment was satisfactory. Specific symptoms associated with variants included ageusia and anosmia in patients with Delta infections and throat pain in Omicron infections. Among Delta-infected individuals with specific symptoms, significantly higher levels of anti-N antibodies were observed. CONCLUSION Our study identified variant-specific differences in the amount of SARS-CoV-2 antibody production and COVID-19 symptoms. Despite this, vaccinated individuals with Omicron or Delta infections generally experienced mild disease courses. Additionally, asymptomatic individuals exhibit lower anti-SARS-CoV-2 antibody levels, indicating a clinical correlation between disease-specific antibodies and distinct symptoms, particularly in the case of the Delta variant. In follow-up studies, exploring post-COVID syndrome and focusing on cognitive symptoms in the acute phase of Omicron infections is crucial as it has the potential to longitudinally impact the lives of those affected.
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Affiliation(s)
- Catharina Gerhards
- Institute for Clinical Chemistry, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg, 68167 Mannheim, Germany
| | - Marlene Steingass
- Institute for Clinical Chemistry, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg, 68167 Mannheim, Germany
| | - Alexandra Heininger
- Department of Hygiene, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg, 68167 Mannheim, Germany
| | - Bettina Lange
- Department of Hygiene, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg, 68167 Mannheim, Germany
| | - Michael Hetjens
- Department of Biomedical Informatics, Center for Preventive Medicine and Digital Health Baden-Württemberg, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg of University, 68167 Mannheim, Germany
| | - Marlis Gerigk
- Institute of Medical Microbiology and Hygiene, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg, 68167 Mannheim, Germany
| | - Michael Neumaier
- Institute for Clinical Chemistry, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg, 68167 Mannheim, Germany
| | - Osman Evliyaoglu
- Institute for Clinical Chemistry, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg, 68167 Mannheim, Germany
| | - Maximilian Kittel
- Institute for Clinical Chemistry, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg, 68167 Mannheim, Germany
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Stumpf J, Anders L, Siepmann T, Schwöbel J, Karger C, Lindner T, Faulhaber-Walter R, Langer T, Escher K, Anding-Rost K, Seidel H, Hüther J, Pistrosch F, Martin H, Schewe J, Stehr T, Meistring F, Paliege A, Schneider D, Bast I, Steglich A, Gembardt F, Kessel F, Kröger H, Arndt P, Sradnick J, Frank K, Skrzypczyk S, Anft M, Klimova A, Mauer R, Roeder I, Tonn T, Babel N, Hugo C. 9-Month observational Dia-Vacc study of vaccine type influence on SARS-CoV-2 immunity in dialysis and kidney transplant patients. Vaccine 2024; 42:120-128. [PMID: 38114410 DOI: 10.1016/j.vaccine.2023.12.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 12/05/2023] [Accepted: 12/09/2023] [Indexed: 12/21/2023]
Abstract
BACKGROUND SARS-CoV-2mRNA vaccination related seroconversion rates are reduced in dialysis and kidney transplant patients. METHODS We evaluated nine months follow up data in our observational Dia-Vacc study exploring specific cellular (interferon-γ release assay) or/and humoral immune responses after 2x SARS-CoV-2mRNA vaccination in 880 participants including healthy medical personnel (125-MP), dialysis patients (595-DP), kidney transplant recipients (111-KTR), and apheresis patients (49-AP) with positive seroconversion (de novo IgA or IgG antibody positivity by ELISA) after eight weeks. FINDINGS Nine months after first vaccination, receptor binding domain (RBD) antibodies were still positive in 90 % of MP, 86 % of AP, but only 55 %/48 % of DP/KTR, respectively. Seroconversion remained positive in 100 % of AP and 99·2 % of MP, but 86 %/81 % of DP/KTR, respectively. Compared to MP, DP but not KTR or AP were at risk for a strong RBD decline, while KTR kept lowest RBD values over time. By multivariate analysis, BNT162b2mRNA versus 1273-mRNA vaccine type was an independent risk factor for a strong decline of RBD antibodies. Within the DP group, only time on dialysis was another (inverse) risk factor for the DP group. Compared to humoral immunity, T-cell immunity decline was less prominent. INTERPRETATION While seroconverted KTR reach lowest RBD values over time, DP are at specific risk for a strong decline of RBD antibodies after successful SARS-CoV-2mRNA vaccination, which also depends on the vaccine type being used. Therefore, booster vaccinations for DP should be considered earlier compared to normal population.
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Affiliation(s)
- Julian Stumpf
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; KfH-Nierenzentrum Dresden, Dresden, Germany
| | | | - Torsten Siepmann
- KfH-Nierenzentrum am Klinikum Chemnitz, Krankenhaus Küchwald, Chemnitz, Germany
| | | | - Claudia Karger
- KfH-Nierenzentrum am Klinikum St. Georg, Leipzig, Germany
| | - Tom Lindner
- Division of Nephrology, University Hospital Leipzig, Leipzig, Germany
| | | | | | - Katja Escher
- KfH-Gesundheitszentrum Aue, Aue-Bad-Schlema, Germany
| | | | - Harald Seidel
- KfH-Nierenzentrum am Vogtland Krankenhaus Plauen, Plauen, Germany
| | | | | | - Heike Martin
- Nephrologisches Zentrum Zwickau, Zwickau, Germany
| | - Jens Schewe
- Dialyse- und Nierenambulanz Sebnitz, Sebnitz, Germany
| | | | - Frank Meistring
- KfH-Nierenzentrum am Städtischen Klinikum Görlitz, Görlitz, Germany
| | - Alexander Paliege
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Daniel Schneider
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | | | - Anne Steglich
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Florian Gembardt
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Friederike Kessel
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Hannah Kröger
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Patrick Arndt
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Jan Sradnick
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Kerstin Frank
- Institut für Transfusionsmedizin Plauen, DRK-Blutspendedienst Nord-Ost gemeinnützige GmbH, Plauen, Germany
| | - Sarah Skrzypczyk
- Center for Translational Medicine and Immune Diagnostics Laboratory, Medical Department I, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Germany
| | - Moritz Anft
- Center for Translational Medicine and Immune Diagnostics Laboratory, Medical Department I, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Germany
| | - Anna Klimova
- National Center for Tumor Diseases (NCT) Partner Site Dresden, Dresden, Germany
| | - René Mauer
- Faculty of Medicine Carl Gustav Carus, Institute for Medical Informatics and Biometry (IMB), Technische Universität, Dresden, Germany
| | - Ingo Roeder
- Faculty of Medicine Carl Gustav Carus, Institute for Medical Informatics and Biometry (IMB), Technische Universität, Dresden, Germany
| | - Torsten Tonn
- Institute for Transfusion Medicine, German Red Cross Blood Donation Service North-East, Dresden, Germany; Faculty of Medicine Carl Gustav Carus, Transfusion Medicine, Technische Universität, Dresden, Germany
| | - Nina Babel
- Center for Translational Medicine and Immune Diagnostics Laboratory, Medical Department I, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Germany; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin-Brandenburg Center for Regenerative Therapies, and Institute of Medical Immunology, Germany
| | - Christian Hugo
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; KfH-Nierenzentrum Dresden, Dresden, Germany.
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7
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Essaidi-Laziosi M, Pérez-Rodríguez FJ, Alvarez C, Sattonnet-Roche P, Torriani G, Bekliz M, Adea K, Lenk M, Suliman T, Preiser W, Müller MA, Drosten C, Kaiser L, Eckerle I. Distinct phenotype of SARS-CoV-2 Omicron BA.1 in human primary cells but no increased host range in cell lines of putative mammalian reservoir species. Virus Res 2024; 339:199255. [PMID: 38389324 PMCID: PMC10652112 DOI: 10.1016/j.virusres.2023.199255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 10/03/2023] [Accepted: 10/25/2023] [Indexed: 02/24/2024]
Abstract
SARS-CoV-2's genetic plasticity has led to several variants of concern (VOCs). Here we studied replicative capacity for seven SARS-CoV-2 isolates (B.1, Alpha, Beta, Gamma, Delta, Zeta, and Omicron BA.1) in primary reconstituted airway epithelia (HAE) and lung-derived cell lines. Furthermore, to investigate the host range of Delta and Omicron compared to ancestral SARS-CoV-2, we assessed replication in 17 cell lines from 11 non-primate mammalian species, including bats, rodents, insectivores and carnivores. Only Omicron's phenotype differed in vitro, with rapid but short replication and efficient production of infectious virus in nasal HAEs, in contrast to other VOCs, but not in lung cell lines. No increased infection efficiency for other species was observed, but Delta and Omicron infection efficiency was increased in A549 cells. Notably replication in A549 and Calu3 cells was lower than in nasal HAE. Our results suggest better adaptation of VOCs towards humans, without an extended host range, and may be relevant to the search for the putative intermediate host and reservoirs prior to the pandemic.
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Affiliation(s)
- Manel Essaidi-Laziosi
- Department of Microbiology and Molecular Medicine, University of Geneva, Geneva, Switzerland; Geneva Centre for Emerging Viral Diseases, University Hospitals Geneva, and University of Geneva, Switzerland
| | - Francisco J Pérez-Rodríguez
- Geneva Centre for Emerging Viral Diseases, University Hospitals Geneva, and University of Geneva, Switzerland; Division of Infectious Diseases, Geneva University Hospitals, Geneva, Switzerland
| | - Catia Alvarez
- Department of Microbiology and Molecular Medicine, University of Geneva, Geneva, Switzerland; Geneva Centre for Emerging Viral Diseases, University Hospitals Geneva, and University of Geneva, Switzerland
| | - Pascale Sattonnet-Roche
- Geneva Centre for Emerging Viral Diseases, University Hospitals Geneva, and University of Geneva, Switzerland; Division of Infectious Diseases, Geneva University Hospitals, Geneva, Switzerland
| | - Giulia Torriani
- Department of Microbiology and Molecular Medicine, University of Geneva, Geneva, Switzerland
| | - Meriem Bekliz
- Department of Microbiology and Molecular Medicine, University of Geneva, Geneva, Switzerland; Geneva Centre for Emerging Viral Diseases, University Hospitals Geneva, and University of Geneva, Switzerland
| | - Kenneth Adea
- Department of Microbiology and Molecular Medicine, University of Geneva, Geneva, Switzerland; Geneva Centre for Emerging Viral Diseases, University Hospitals Geneva, and University of Geneva, Switzerland
| | - Matthias Lenk
- Friedrich-Loeffler-Institute, Federal Research Institute for Animal Health, Greifswald, Germany
| | - Tasnim Suliman
- Department of Medical Biosciences, University of the Western Cape, Cape Town, South Africa
| | - Wolfgang Preiser
- Division of Medical Virology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa; Division of Medical Virology, Tygerberg Hospital, National Health Laboratory Service, Cape Town, South Africa
| | - Marcel A Müller
- Institute of Virology Charité, - Universitätsmedizin Berlin, Berlin, Germany
| | - Christian Drosten
- Institute of Virology Charité, - Universitätsmedizin Berlin, Berlin, Germany
| | - Laurent Kaiser
- Geneva Centre for Emerging Viral Diseases, University Hospitals Geneva, and University of Geneva, Switzerland; Laboratory of Virology, Division of Infectious Diseases and Division of Laboratory Medicine, University Hospitals of Geneva & Faculty of Medicine, University of Geneva, 1205 Geneva, Switzerland; Division of Infectious Diseases, Geneva University Hospitals, 1205 Geneva, Switzerland
| | - Isabella Eckerle
- Department of Microbiology and Molecular Medicine, University of Geneva, Geneva, Switzerland; Geneva Centre for Emerging Viral Diseases, University Hospitals Geneva, and University of Geneva, Switzerland; Division of Infectious Diseases, Geneva University Hospitals, 1205 Geneva, Switzerland.
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8
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Chen C, Liang J, Hu H, Li X, Wang L, Wang Z. Research progress in methods for detecting neutralizing antibodies against SARS-CoV-2. Anal Biochem 2023:115199. [PMID: 37257735 DOI: 10.1016/j.ab.2023.115199] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 05/13/2023] [Accepted: 05/27/2023] [Indexed: 06/02/2023]
Abstract
The emergence of SARS-CoV-2 has seriously affected the lives of people worldwide. Clarifying the attenuation rule of SARS-CoV-2 neutralizing antibody (NAb) in vivo is the key to prevent reinfection and recurrence of virus. Currently, the commonly used methods for detecting NAb include virus neutralization tests, pseudovirus neutralization assays, lateral flow immunochromatography and enzyme-linked immunosorbent assays. The detection of NAb not only can be used to evaluate the level of immunity after vaccination or infection but also can provide important theoretical support for virus reinfection, recurrence and vaccine iteration. In this research, the related technologies of SARS-CoV-2 NAb detection were reviewed, aiming to provide better research ideas for SARS-CoV-2 epidemic prevention and control.
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Affiliation(s)
- Chunxia Chen
- Joint National Laboratory for Antibody Drug Engineering, Clinical Laboratory of the First Affiliated Hospital, Henan University, Kaifeng, 475004, China
| | - Jiahui Liang
- Joint National Laboratory for Antibody Drug Engineering, Clinical Laboratory of the First Affiliated Hospital, Henan University, Kaifeng, 475004, China
| | - Hangzhan Hu
- Joint National Laboratory for Antibody Drug Engineering, Clinical Laboratory of the First Affiliated Hospital, Henan University, Kaifeng, 475004, China; Heze Municipal Hospital, Heze, 274000, China
| | - Xiaoquan Li
- Heze Municipal Hospital, Heze, 274000, China
| | - Li Wang
- Department of Clinical Laboratory, The First Affiliated Hospital of Henan University, Kaifeng, 475004, China.
| | - Zhizeng Wang
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing, 400044, China; Joint National Laboratory for Antibody Drug Engineering, Clinical Laboratory of the First Affiliated Hospital, Henan University, Kaifeng, 475004, China.
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9
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Gerhards C, Thiaucourt M, Hetjens M, Haselmann V, Neumaier M, Kittel M. Heterologous Vector-mRNA Based SARS-CoV-2 Vaccination Strategy Appears Superior to a Homologous Vector-Based Vaccination Scheme in German Healthcare Workers Regarding Humoral SARS-CoV-2 Response Indicating a High Boosting Effect by mRNA Vaccines. Vaccines (Basel) 2023; 11:701. [PMID: 36992285 PMCID: PMC10054089 DOI: 10.3390/vaccines11030701] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 03/15/2023] [Accepted: 03/17/2023] [Indexed: 03/31/2023] Open
Abstract
BACKGROUND Longitudinal humoral SARS-CoV-2 (severe acute respiratory syndrome coronavirus type 2) immunity for up to 15 months due to vaccination, the efficacy of vaccination strategies (homologous, vector-vector versus heterologous, vector-mRNA), the influence of vaccination side effects, and the infection rate in German healthcare workers need to be investigated. METHODS In this study, 103 individuals vaccinated against SARS-CoV-2 were enrolled to examine their anti-SARS-CoV-2 anti-N- and anti-RBD/S1-Ig levels. A total of 415 blood samples in lithium heparin tubes were prospectively obtained, and a structured survey regarding medical history, type of vaccine, and vaccination reactions was conducted. RESULTS All participants demonstrated a humoral immune response, among whom no values decreased below the positivity cutoff. Five to six months after the third vaccination, three participants showed anti-RBD/S1 antibodies of less than 1000 U/mL. We observed higher levels for heterologous mRNA-/vector-based combinations compared to pure vector-based vaccination after the second vaccination, which is harmonized after a third vaccination with the mRNA-vaccine only in both cohorts. The incidence of vaccine breakthrough in a highly exposed cohort was 60.3%. CONCLUSION Sustained long-term humoral immunity was observed, indicating the superiority of a heterologous mRNA-/vector-based combination compared to pure vector-based vaccination. There was longevity of anti-RBD/S1 antibodies of at least 4 and up to 7 months without external stimulus. Regarding vaccination reactogenity, the occurrence of local symptoms as pain at the injection site was increased after the first mRNA application compared to the vector-vector cohort with a general decrease in adverse events at later vaccination time points. Overall, a correlation between the humoral vaccination response and vaccination side effects was not observed. Despite the high prevalence of vaccine breakthroughs, these only occurred in the later course of the study when more infectious variants, which are, however, associated with milder courses, were present. These results provide insights into vaccine-related serologic responses, and the study should be expanded using additional vaccine doses and novel variants in the future.
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Affiliation(s)
- Catharina Gerhards
- Institute for Clinical Chemistry, Medical Faculty Mannheim, University of Heidelberg, Theodor Kutzer Ufer 1-3, 68167 Mannheim, Germany
| | - Margot Thiaucourt
- Institute for Clinical Chemistry, Medical Faculty Mannheim, University of Heidelberg, Theodor Kutzer Ufer 1-3, 68167 Mannheim, Germany
| | - Michael Hetjens
- Department of Biomedical Informatics, Center for Preventive Medicine and Digital Health Baden-Württemberg, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
| | - Verena Haselmann
- Institute for Clinical Chemistry, Medical Faculty Mannheim, University of Heidelberg, Theodor Kutzer Ufer 1-3, 68167 Mannheim, Germany
| | - Michael Neumaier
- Institute for Clinical Chemistry, Medical Faculty Mannheim, University of Heidelberg, Theodor Kutzer Ufer 1-3, 68167 Mannheim, Germany
| | - Maximilian Kittel
- Institute for Clinical Chemistry, Medical Faculty Mannheim, University of Heidelberg, Theodor Kutzer Ufer 1-3, 68167 Mannheim, Germany
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10
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Shi J, Zhang Y, Yang M. Recent development of microfluidics-based platforms for respiratory virus detection. BIOMICROFLUIDICS 2023; 17:024104. [PMID: 37035101 PMCID: PMC10076069 DOI: 10.1063/5.0135778] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 02/27/2023] [Indexed: 06/19/2023]
Abstract
With the global outbreak of SARS-CoV-2, the inadequacies of current detection technology for respiratory viruses have been recognized. Rapid, portable, accurate, and sensitive assays are needed to expedite diagnosis and early intervention. Conventional methods for detection of respiratory viruses include cell culture-based assays, serological tests, nucleic acid detection (e.g., RT-PCR), and direct immunoassays. However, these traditional methods are often time-consuming, labor-intensive, and require laboratory facilities, which cannot meet the testing needs, especially during pandemics of respiratory diseases, such as COVID-19. Microfluidics-based techniques can overcome these demerits and provide simple, rapid, accurate, and cost-effective analysis of intact virus, viral antigen/antibody, and viral nucleic acids. This review aims to summarize the recent development of microfluidics-based techniques for detection of respiratory viruses. Recent advances in different types of microfluidic devices for respiratory virus diagnostics are highlighted, including paper-based microfluidics, continuous-flow microfluidics, and droplet-based microfluidics. Finally, the future development of microfluidic technologies for respiratory virus diagnostics is discussed.
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Affiliation(s)
- Jingyu Shi
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon 999077, Hong Kong SAR, People's Republic of China
| | - Yu Zhang
- Department of Mechanical and Automotive Engineering, Royal Melbourne Institute of Technology, Melbourne, VIC 3000, Australia
| | - Mo Yang
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon 999077, Hong Kong SAR, People's Republic of China
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11
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Riesenhuber M, Nitsche C, Binder CJ, Schernhammer ES, Stamm T, Jakse F, Anwari E, Hamidi F, Haslacher H, Perkmann T, Hengstenberg C, Zelniker TA. Comparison of the prevalence of SARS-CoV-2 nucleoprotein antibodies in healthcare workers and an unselected adult and paediatric all-comer patient population: insights from a longitudinal study of healthcare workers and concurrent serial cross-sectional studies of patients at an academic medical centre in Austria. BMJ Open 2023; 13:e063760. [PMID: 36657754 PMCID: PMC9852740 DOI: 10.1136/bmjopen-2022-063760] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 12/27/2022] [Indexed: 01/20/2023] Open
Abstract
OBJECTIVES This study aimed to estimate and compare the prevalence of the virus-specific antibodies against the SARS-CoV-2 nucleoprotein antigen (anti-SARS-CoV-2 N) in healthcare workers and an all-comer paediatric and adult patient population. DESIGN, SETTING AND PARTICIPANTS A longitudinal study enrolling healthcare professionals and concurrent serial cross-sectional studies of unselected all-comer patients were conducted at an Austrian academic medical centre. Healthcare workers were tested at enrolment and after 1, 2, 3, 6 and 12 months. The cross-sectional studies in patients were conducted at three time periods, which roughly coincided with the times after the first, second and third wave of SARS-CoV-2 in Austria (ie, 24 August-7 September 2020; 8-22 February 2021 and 9-23 November 2021). Anti-SARS-CoV-2 N antibodies were measured using a sandwich electrochemiluminescence assay (Roche). RESULTS In total, 2735 and 9275 samples were measured in 812 healthcare workers (median age: 40 years, 78% female) and 8451 patients (median age: 55 years, 52% female), respectively. Over the entire study period, anti-SARS-CoV-2 N antibodies were detected in 98 of 812 healthcare workers, resulting in a seroprevalence of 12.1% (95% CI 10.0% to 14.5%), which did not differ significantly (p=0.63) from that of the all-comer patient population at the end of the study period (407/3184; 12.8%, 95% CI 11.7% to 14.0%). The seroprevalence between healthcare workers and patients did not differ significantly at any time and was 1.5-fold to 2-fold higher than the number of confirmed cases in Austria throughout the pandemic. In particular, there was no significant difference in the seroprevalence between paediatric and adult patients at any of the tested time periods. CONCLUSION Throughout the pandemic, healthcare staff and an adult and paediatric all-comer patient population had similar exposure to SARS-CoV-2. TRIAL REGISTRATION NUMBER ClinicalTrials.gov Identifier: NCT04407429.
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Affiliation(s)
- Martin Riesenhuber
- Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Wien, Austria
| | - Christian Nitsche
- Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Wien, Austria
| | - Christoph J Binder
- Department of Laboratory Medicine, Medical University of Vienna, Wien, Austria
| | - Eva S Schernhammer
- Department of Epidemiology, Center for Public Health, Medical University of Vienna, Wien, Austria
| | - Tanja Stamm
- Institute for Outcomes Research, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria
| | - Friedrich Jakse
- Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Wien, Austria
| | - Elaaha Anwari
- Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Wien, Austria
| | - Fardin Hamidi
- Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Wien, Austria
| | - Helmuth Haslacher
- Department of Laboratory Medicine, Medical University of Vienna, Wien, Austria
| | - Thomas Perkmann
- Department of Laboratory Medicine, Medical University of Vienna, Wien, Austria
| | - Christian Hengstenberg
- Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Wien, Austria
| | - Thomas A Zelniker
- Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Wien, Austria
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12
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Wang D, Chen Y, Xiang S, Hu H, Zhan Y, Yu Y, Zhang J, Wu P, Liu FY, Kai T, Ding P. Recent advances in immunoassay technologies for the detection of human coronavirus infections. Front Cell Infect Microbiol 2023; 12:1040248. [PMID: 36683684 PMCID: PMC9845787 DOI: 10.3389/fcimb.2022.1040248] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 11/30/2022] [Indexed: 01/05/2023] Open
Abstract
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the seventh coronavirus (CoV) that has spread in humans and has become a global pandemic since late 2019. Efficient and accurate laboratory diagnostic methods are one of the crucial means to control the development of the current pandemic and to prevent potential future outbreaks. Although real-time reverse transcription-polymerase chain reaction (rRT-PCR) is the preferred laboratory method recommended by the World Health Organization (WHO) for diagnosing and screening SARS-CoV-2 infection, the versatile immunoassays still play an important role for pandemic control. They can be used not only as supplemental tools to identify cases missed by rRT-PCR, but also for first-line screening tests in areas with limited medical resources. Moreover, they are also indispensable tools for retrospective epidemiological surveys and the evaluation of the effectiveness of vaccination. In this review, we summarize the mainstream immunoassay methods for human coronaviruses (HCoVs) and address their benefits, limitations, and applications. Then, technical strategies based on bioinformatics and advanced biosensors were proposed to improve the performance of these methods. Finally, future suggestions and possibilities that can lead to higher sensitivity and specificity are provided for further research.
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Affiliation(s)
- Danqi Wang
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, China
| | - Yuejun Chen
- Breast Surgery Department I, Hunan Cancer Hospital, Changsha, Hunan, China
| | - Shan Xiang
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, China
| | - Huiting Hu
- Breast Surgery Department I, Hunan Cancer Hospital, Changsha, Hunan, China
| | - Yujuan Zhan
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, China
| | - Ying Yu
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, China
| | - Jingwen Zhang
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, China
| | - Pian Wu
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, China
| | - Fei Yue Liu
- Department of Economics and Management, ChangSha University, Changsha, Hunan, China
| | - Tianhan Kai
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, China
| | - Ping Ding
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, China
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13
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Takeshita Y, To Y, Kurosawa Y, Kinouchi T, Tsuya K, Tada Y, Tsushima K. Relationship between Anti-SARS-CoV-2 S Abs and IFN-λ3 Levels in the Administration of Oxygen following COVID-19 Vaccination. Immunohorizons 2023; 7:97-105. [PMID: 36645852 PMCID: PMC10563441 DOI: 10.4049/immunohorizons.2200093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 12/14/2022] [Indexed: 01/18/2023] Open
Abstract
Although the effectiveness of vaccination at preventing hospitalization and severe coronavirus disease (COVID-19) has been reported in numerous studies, the detailed mechanism of innate immunity occurring in host cells by breakthrough infection is unclear. One hundred forty-six patients were included in this study. To determine the effects of vaccination and past infection on innate immunity following SARS-CoV-2 infection, we analyzed the relationship between anti-SARS-CoV-2 S Abs and biomarkers associated with the deterioration of COVID-19 (IFN-λ3, C-reactive protein, lactate dehydrogenase, ferritin, procalcitonin, and D-dimer). Anti-S Abs were classified into two groups according to titer: high titer (≥250 U/ml) and low titer (<250 U/ml). A negative correlation was observed between anti-SARS-CoV-2 S Abs and IFN-λ3 levels (r = -0.437, p < 0.001). A low titer of anti-SARS-CoV-2 S Abs showed a significant association with oxygen demand in patients, excluding aspiration pneumonia. Finally, in a multivariate analysis, a low titer of anti-SARS-CoV-2 S Abs was an independent risk factor for oxygen demand, even after adjusting for age, sex, body mass index, aspiration pneumonia, and IFN-λ3 levels. In summary, measuring anti-SARS-CoV-2 S Abs and IFN-λ3 may have clinical significance for patients with COVID-19. To predict the oxygen demand of patients with COVID-19 after hospitalization, it is important to evaluate the computed tomography findings to determine whether the pneumonia is the result of COVID-19 or aspiration pneumonia.
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Affiliation(s)
- Yuichiro Takeshita
- Department of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, Chiba, Japan
| | - Yasuo To
- Department of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, Chiba, Japan
| | - Yusuke Kurosawa
- Department of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, Chiba, Japan
- Division of Respiratory Medicine, Department of Internal Medicine, Nihon University School of Medicine, Itabashiku, Tokyo, Japan; and
| | - Toru Kinouchi
- Department of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, Chiba, Japan
- Department of Respirology, Graduate School of Medicine, Chiba University, Chuo-ku, Chiba, Japan
| | - Kota Tsuya
- Division of Respiratory Medicine, Department of Internal Medicine, Nihon University School of Medicine, Itabashiku, Tokyo, Japan; and
| | - Yuji Tada
- Department of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, Chiba, Japan
| | - Kenji Tsushima
- Department of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, Chiba, Japan
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14
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Schreibing F, Hannani MT, Kim H, Nagai JS, Ticconi F, Fewings E, Bleckwehl T, Begemann M, Torow N, Kuppe C, Kurth I, Kranz J, Frank D, Anslinger TM, Ziegler P, Kraus T, Enczmann J, Balz V, Windhofer F, Balfanz P, Kurts C, Marx G, Marx N, Dreher M, Schneider RK, Saez-Rodriguez J, Costa I, Hayat S, Kramann R. Dissecting CD8+ T cell pathology of severe SARS-CoV-2 infection by single-cell immunoprofiling. Front Immunol 2022; 13:1066176. [PMID: 36591270 PMCID: PMC9800604 DOI: 10.3389/fimmu.2022.1066176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 11/14/2022] [Indexed: 12/23/2022] Open
Abstract
Introduction SARS-CoV-2 infection results in varying disease severity, ranging from asymptomatic infection to severe illness. A detailed understanding of the immune response to SARS-CoV-2 is critical to unravel the causative factors underlying differences in disease severity and to develop optimal vaccines against new SARS-CoV-2 variants. Methods We combined single-cell RNA and T cell receptor sequencing with CITE-seq antibodies to characterize the CD8+ T cell response to SARS-CoV-2 infection at high resolution and compared responses between mild and severe COVID-19. Results We observed increased CD8+ T cell exhaustion in severe SARS-CoV-2 infection and identified a population of NK-like, terminally differentiated CD8+ effector T cells characterized by expression of FCGR3A (encoding CD16). Further characterization of NK-like CD8+ T cells revealed heterogeneity among CD16+ NK-like CD8+ T cells and profound differences in cytotoxicity, exhaustion, and NK-like differentiation between mild and severe disease conditions. Discussion We propose a model in which differences in the surrounding inflammatory milieu lead to crucial differences in NK-like differentiation of CD8+ effector T cells, ultimately resulting in the appearance of NK-like CD8+ T cell populations of different functionality and pathogenicity. Our in-depth characterization of the CD8+ T cell-mediated response to SARS-CoV-2 infection provides a basis for further investigation of the importance of NK-like CD8+ T cells in COVID-19 severity.
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Affiliation(s)
- Felix Schreibing
- Institute of Experimental Medicine and Systems Biology, Medical Faculty, RWTH Aachen University, Aachen, Germany,Department of Renal and Hypertensive Disorders, Rheumatological and Immunological Diseases (Medical Clinic II), Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Monica T. Hannani
- Institute of Experimental Medicine and Systems Biology, Medical Faculty, RWTH Aachen University, Aachen, Germany,Institute for Computational Biomedicine, Heidelberg University, Faculty of Medicine, Heidelberg University Hospital, Heidelberg, Germany
| | - Hyojin Kim
- Institute of Experimental Medicine and Systems Biology, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - James S. Nagai
- Institute for Computational Genomics, Medical Faculty, RWTH Aachen University, Aachen, Germany,Joint Research Center for Computational Biomedicine, RWTH Aachen University Hospital, Aachen, Germany
| | - Fabio Ticconi
- Institute for Computational Genomics, Medical Faculty, RWTH Aachen University, Aachen, Germany,Joint Research Center for Computational Biomedicine, RWTH Aachen University Hospital, Aachen, Germany
| | - Eleanor Fewings
- Institute for Computational Biomedicine, Heidelberg University, Faculty of Medicine, Heidelberg University Hospital, Heidelberg, Germany
| | - Tore Bleckwehl
- Institute of Experimental Medicine and Systems Biology, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Matthias Begemann
- Institute of Human Genetics, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Natalia Torow
- Institute of Medical Microbiology, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Christoph Kuppe
- Institute of Experimental Medicine and Systems Biology, Medical Faculty, RWTH Aachen University, Aachen, Germany,Department of Renal and Hypertensive Disorders, Rheumatological and Immunological Diseases (Medical Clinic II), Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Ingo Kurth
- Institute of Human Genetics, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Jennifer Kranz
- Institute of Experimental Medicine and Systems Biology, Medical Faculty, RWTH Aachen University, Aachen, Germany,Department of Urology and Pediatric Urology, RWTH Aachen University, Aachen, Germany,Department of Urology and Kidney Transplantation, Martin Luther University (Saale), Halle, Germany
| | - Dario Frank
- Department of Medicine, St Antonius Hospital, Eschweiler, Germany
| | - Teresa M. Anslinger
- Institute of Experimental Medicine and Systems Biology, Medical Faculty, RWTH Aachen University, Aachen, Germany,Department of Renal and Hypertensive Disorders, Rheumatological and Immunological Diseases (Medical Clinic II), Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Patrick Ziegler
- Institute for Occupational, Social and Environmental Medicine, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Thomas Kraus
- Institute for Occupational, Social and Environmental Medicine, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Jürgen Enczmann
- Institute for Transplantation Diagnostics and Cell Therapeutics, Medical Faculty, University Hospital Düsseldorf, Düsseldorf, Germany
| | - Vera Balz
- Institute for Transplantation Diagnostics and Cell Therapeutics, Medical Faculty, University Hospital Düsseldorf, Düsseldorf, Germany
| | - Frank Windhofer
- Institute for Transplantation Diagnostics and Cell Therapeutics, Medical Faculty, University Hospital Düsseldorf, Düsseldorf, Germany
| | - Paul Balfanz
- Department of Cardiology, Angiology and Intensive Care Medicine, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Christian Kurts
- Institute of Molecular Medicine and Experimental Immunology, Medical Faculty, University of Bonn, Bonn, Germany
| | - Gernot Marx
- Department of Intensive and Intermediate Care, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Nikolaus Marx
- Department of Cardiology, Angiology and Intensive Care Medicine, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Michael Dreher
- Department of Pneumology and Intensive Care Medicine, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Rebekka K. Schneider
- Institute of Cell and Tumor Biology, Medical Faculty, RWTH Aachen University, Aachen, Germany,Department of Developmental Biology, Erasmus Medical Center, Rotterdam, Netherlands
| | - Julio Saez-Rodriguez
- Institute for Computational Biomedicine, Heidelberg University, Faculty of Medicine, Heidelberg University Hospital, Heidelberg, Germany,Joint Research Center for Computational Biomedicine, RWTH Aachen University Hospital, Aachen, Germany
| | - Ivan Costa
- Institute for Computational Genomics, Medical Faculty, RWTH Aachen University, Aachen, Germany,Joint Research Center for Computational Biomedicine, RWTH Aachen University Hospital, Aachen, Germany
| | - Sikander Hayat
- Institute of Experimental Medicine and Systems Biology, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Rafael Kramann
- Institute of Experimental Medicine and Systems Biology, Medical Faculty, RWTH Aachen University, Aachen, Germany,Department of Renal and Hypertensive Disorders, Rheumatological and Immunological Diseases (Medical Clinic II), Medical Faculty, RWTH Aachen University, Aachen, Germany,Department of Internal Medicine, Erasmus Medical Center (MC), Rotterdam, Netherlands,*Correspondence: Rafael Kramann,
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15
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Barrios Y, Alava-Cruz C, Marrero-Miranda D, Matheu V. Early riser specific immune cell response by delayed-type hypersensitivity in a kidney transplant patient vaccinated against COVID-19. BMJ Case Rep 2022; 15:15/12/e250509. [PMCID: PMC9748959 DOI: 10.1136/bcr-2022-250509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
We present a female kidney transplant patient under conventional immunosuppression therapy. Her humoral immunity study (anti-spike-specific antibodies) was negative after the initial regimen and the third dose of vaccination against COVID-19. The specific ex vivo cellular immune study against spike of SARS-CoV-2 by interferon gamma release assay (IGRA) also remained at non-response levels at different time points despite an optimal non-specific cell immune response assessment. However, the cellular immunity test by delayed-type hypersensitivity (DTH) with spike of SARS-CoV-2 was always positive since the vaccination scheme began. Only after COVID-19 infection has there been a seroconversion of the patient’s antibody tests along with IGRA positivity. The use of DTH test to measure the immune response could be a better and earlier parameter of the actual immune status that helps us to predict the immune response in real life. Hybrid immunity combining vaccine and natural infection could be a stronger stimulator of the specific global immune response.
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Affiliation(s)
- Yvelise Barrios
- Immunology, Hospital Universitario de Canarias, La Laguna, Spain
| | | | | | - Victor Matheu
- Allergy, Hospital Universitario de Canarias, La Laguna, Spain
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16
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SARS-CoV-2 Serology: Utility and Limits of Different Antigen-Based Tests through the Evaluation and the Comparison of Four Commercial Tests. Biomedicines 2022; 10:biomedicines10123106. [PMID: 36551862 PMCID: PMC9775032 DOI: 10.3390/biomedicines10123106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 11/07/2022] [Accepted: 11/14/2022] [Indexed: 12/03/2022] Open
Abstract
Introduction: SARS-CoV-2 serology have several indications. Currently, as there are various types available, it is important to master their performance in order to choose the best test for the indication. We evaluated and compared four different commercial serology tests, three of them had the Food and Drug Administration Emergency Use Authorization (FDA-EUA). Our goal was to provide new data to help guide the interpretation and the choice of the serological tests. Methods: Four commercial tests were studied: Elecsys® Roche® on Cobas® (total anti-nucleocapsid (N) antibodies), VIDAS® Biomerieux® (IgM and IgG anti- receptor binding domain (RBD) antibodies), Mindray® (IgM and IgG anti-N and anti-RBD antibodies) and Access® Beckman Coulter® (IgG anti-RBD antibodies). Two panels were tested: a positive panel (n = 72 sera) obtained from COVID-19-confirmed patients with no vaccination history and a negative panel (n = 119) of pre-pandemic sera. The analytical performances were evaluated and the ROC curve was drawn to assess the manufacturer’s cut-off for each test. Results: A large range of variability between the tests was found. The Mindray®IgG and Cobas® tests showed the best overall sensitivity, which was equal to 79.2% CI 95% (67.9−87.8). The Cobas® test showed the best sensitivity after 14 days of COVID-19 molecular confirmation; which was equal to 85.4% CI 95% (72.2−93.9). The Access® test had a lower sensitivity, even after day 14 (55.5% CI 95% (43.4−67.3)). The best specificity was noted for the Cobas®, VIDAS®IgG and Access® IgG tests (100% CI 95% (96.9−100)). The IgM tests, VIDAS®IgM and Mindray®IgM, showed the lowest specificity and sensitivity rates. Overall, only 43 out of 72 sera (59.7%) showed concordant results by all tests. Retained cut-offs for a significantly better sensitivity and accuracy, without significant change in the specificity, were: 0.87 for Vidas®IgM (p = 0.01) and 0.14 for Access® (p < 10−4). The combination of Cobas® with Vidas® IgM and IgG offered the best accuracy in comparison with all other tests combinations. Conclusion: Although using an FDA-EUA approved serology test, each laboratory should carry out its own evaluation. Tests variability may raise some concerns that seroprevalence studies may vary significantly based on the used serology test.
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17
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Raptis CE, Berger CT, Ciurea A, Andrey DO, Polysopoulos C, Lescuyer P, Maletic T, Riek M, Scherer A, von Loga I, Safford J, Lauper K, Möller B, Vuilleumier N, Finckh A, Rubbert-Roth A. Type of mRNA COVID-19 vaccine and immunomodulatory treatment influence humoral immunogenicity in patients with inflammatory rheumatic diseases. Front Immunol 2022; 13:1016927. [PMID: 36311791 PMCID: PMC9606233 DOI: 10.3389/fimmu.2022.1016927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 09/20/2022] [Indexed: 12/03/2022] Open
Abstract
Patients with inflammatory rheumatic diseases (IRD) are at increased risk for worse COVID-19 outcomes. Identifying whether mRNA vaccines differ in immunogenicity and examining the effects of immunomodulatory treatments may support COVID-19 vaccination strategies. We aimed to conduct a long-term, model-based comparison of the humoral immunogenicity following BNT162b2 and mRNA-1273 vaccination in a cohort of IRD patients. Patients from the Swiss IRD cohort (SCQM), who assented to mRNA COVID-19 vaccination were recruited between 3/2021-9/2021. Blood samples at baseline, 4, 12, and 24 weeks post second vaccine dose were tested for anti-SARS-CoV-2 spike IgG (anti-S1). We examined differences in antibody levels depending on the vaccine and treatment at baseline while adjusting for age, disease, and past SARS-CoV-2 infection. 565 IRD patients provided eligible samples. Among monotherapies, rituximab, abatacept, JAKi, and TNFi had the highest odds of reduced anti-S1 responses compared to no medication. Patients on specific combination therapies showed significantly lower antibody responses than those on monotherapy. Irrespective of the disease, treatment, and past SARS-CoV-2 infection, the odds of higher antibody levels at 4, 12, and 24 weeks post second vaccine dose were, respectively, 3.4, 3.8, and 3.8 times higher with mRNA-1273 versus BNT162b2 (p < 0.0001). With every year of age, the odds ratio of higher peak humoral immunogenicity following mRNA-1273 versus BNT162b2 increased by 5% (p < 0.001), indicating a particular benefit for elderly patients. Our results suggest that in IRD patients, two-dose vaccination with mRNA-1273 versus BNT162b2 results in higher anti-S1 levels, even more so in elderly patients.
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Affiliation(s)
- Catherine E. Raptis
- SCQM Foundation (Swiss Clinical Quality Management in Rheumatic Diseases), Zurich, Switzerland
| | - Christoph T. Berger
- University Center for Immunology and Immunization Clinic, University Hospital Basel, Basel, Switzerland
- Translational Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Adrian Ciurea
- Department of Rheumatology, Zurich University Hospital, University of Zurich, Zurich, Switzerland
| | - Diego O. Andrey
- Laboratory Medicine Division, Geneva University Hospitals, Geneva, Switzerland
- Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Christos Polysopoulos
- SCQM Foundation (Swiss Clinical Quality Management in Rheumatic Diseases), Zurich, Switzerland
| | - Pierre Lescuyer
- Laboratory Medicine Division, Geneva University Hospitals, Geneva, Switzerland
| | - Tanja Maletic
- SCQM Foundation (Swiss Clinical Quality Management in Rheumatic Diseases), Zurich, Switzerland
| | - Myriam Riek
- SCQM Foundation (Swiss Clinical Quality Management in Rheumatic Diseases), Zurich, Switzerland
| | - Almut Scherer
- SCQM Foundation (Swiss Clinical Quality Management in Rheumatic Diseases), Zurich, Switzerland
| | - Isabell von Loga
- SCQM Foundation (Swiss Clinical Quality Management in Rheumatic Diseases), Zurich, Switzerland
| | | | - Kim Lauper
- Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Division of Rheumatology, Geneva University Hospitals, Geneva, Switzerland
| | - Burkhard Möller
- Division of Rheumatology and Immunology, Inselspital, Bern University Hospital, Bern, Switzerland
| | - Nicolas Vuilleumier
- Laboratory Medicine Division, Geneva University Hospitals, Geneva, Switzerland
- Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Axel Finckh
- Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Division of Rheumatology, Geneva University Hospitals, Geneva, Switzerland
| | - Andrea Rubbert-Roth
- Division of Rheumatology and Immunology, St. Gallen Cantonal Hospital, St. Gallen, Switzerland
- *Correspondence: Andrea Rubbert-Roth,
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18
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IgA-Based Secretory Response in Tears of COVID-19 Patients: A Potential Biomarker of Pro-Inflammatory State in Course of SARS-CoV-2 Infection. Pathogens 2022; 11:pathogens11101098. [PMID: 36297155 PMCID: PMC9610380 DOI: 10.3390/pathogens11101098] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 09/16/2022] [Accepted: 09/21/2022] [Indexed: 11/29/2022] Open
Abstract
Mucosal immunity, including secretory IgA (sIgA), plays an important role in the early defence against SARS-CoV-2 infection. However, a comprehensive evaluation of the local immune response in tears in relation to blood antibody reservoirs has not yet been conducted. A total of 179 symptomatic laboratory-confirmed COVID-19 patients were included in this single-centre study. Conjunctival swabs were analysed by a reverse transcription polymerase chain reaction for the detection of SARS-CoV-2 RNA. In parallel, tear samples collected by Schirmer test strips and plasma samples were analysed by ELISA to detect anti-S1 IgA levels. The concentrations of selected inflammatory cytokines in tears were determined by a magnetic bead assay. Anti-SARS-CoV-2 sIgA was present in the tears of 81 (45.25%) confirmed COVID-19 patients, and the tear IgA levels were correlated with the plasma IgA levels (Rs = +0.29, p = 0.0003). SARS-CoV-2 RNA in the conjunctival sac was identified in 18 COVID-19 patients (10%). Positive correlations between the tear IgA level and the concentrations of several cytokines TNF-α (Rs = +0.23, p = 0.002), IL-1β (Rs = +0.25, p < 0.001), IL-2 (Rs = +0.20, p = 0.007), IL-4 (Rs = +0.16, p = 0.04), IL-5 (Rs = +0.36, p < 0.001), IL-6 (Rs = +0.32, p < 0.001), IL-8 (Rs = +0.31, p < 0.001), VEGF (Rs = +0.25, p < 0.001) and GM-CSF (Rs = +0.27, p < 0.001) were also found. Quantitative tear film-based sIgA could potentially serve as a rapid and easily accessible biomarker of external mucosal immunity to SARS-CoV-2. The concentration of sIgA is directly related to individual host immune responses to SARS-CoV-2 infection.
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19
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Patrone PN, Bedekar P, Pisanic N, Manabe YC, Thomas DL, Heaney CD, Kearsley AJ. Optimal decision theory for diagnostic testing: Minimizing indeterminate classes with applications to saliva-based SARS-CoV-2 antibody assays. Math Biosci 2022; 351:108858. [PMID: 35714754 PMCID: PMC9195412 DOI: 10.1016/j.mbs.2022.108858] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 06/03/2022] [Accepted: 06/04/2022] [Indexed: 11/17/2022]
Abstract
In diagnostic testing, establishing an indeterminate class is an effective way to identify samples that cannot be accurately classified. However, such approaches also make testing less efficient and must be balanced against overall assay performance. We address this problem by reformulating data classification in terms of a constrained optimization problem that (i) minimizes the probability of labeling samples as indeterminate while (ii) ensuring that the remaining ones are classified with an average target accuracy X. We show that the solution to this problem is expressed in terms of a bathtub-type principle that holds out those samples with the lowest local accuracy up to an X-dependent threshold. To illustrate the usefulness of this analysis, we apply it to a multiplex, saliva-based SARS-CoV-2 antibody assay and demonstrate up to a 30 % reduction in the number of indeterminate samples relative to more traditional approaches.
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Affiliation(s)
- Paul N Patrone
- National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD 20899, USA.
| | - Prajakta Bedekar
- National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD 20899, USA; Johns Hopkins University, Department of Applied Mathematics and Statistics, USA
| | - Nora Pisanic
- Johns Hopkins University, Bloomberg School of Public Health, USA
| | | | | | | | - Anthony J Kearsley
- National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD 20899, USA
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20
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García-Pérez J, González-Pérez M, Castillo de la Osa M, Borobia AM, Castaño L, Bertrán MJ, Campins M, Portolés A, Lora D, Bermejo M, Conde P, Hernández-Gutierrez L, Carcas A, Arana-Arri E, Tortajada M, Fuentes I, Ascaso A, García-Morales MT, Erick de la Torre-Tarazona H, Arribas JR, Imaz-Ayo N, Mellado-Pau E, Agustí A, Pérez-Ingidua C, Gómez de la Cámara A, Ochando J, Belda-Iniesta C, Frías J, Alcamí J, Pérez-Olmeda M, CombiVacS study Group 3. Immunogenic dynamics and SARS-CoV-2 variant neutralisation of the heterologous ChAdOx1-S/BNT162b2 vaccination: Secondary analysis of the randomised CombiVacS study. EClinicalMedicine 2022; 50:101529. [PMID: 35795713 PMCID: PMC9249304 DOI: 10.1016/j.eclinm.2022.101529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Revised: 06/06/2022] [Accepted: 06/06/2022] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND The CombiVacS study was designed to assess immunogenicity and reactogenicity of the heterologous ChAdOx1-S/BNT162b2 combination, and 14-day results showed a strong immune response. The present secondary analysis addresses the evolution of humoral and cellular response up to day 180. METHODS Between April 24 and 30, 2021, 676 adults primed with ChAdOx1-S were enrolled in five hospitals in Spain, and randomised to receive BNT162b2 as second dose (interventional group [IG]) or no vaccine (control group [CG]). Individuals from CG received BNT162b2 as second dose and also on day 28, as planned based on favourable results on day 14. Humoral immunogenicity, measured by immunoassay for SARS-CoV-2 receptor binding domain (RBD), antibody functionality using pseudovirus neutralisation assays for the reference (G614), Alpha, Beta, Delta, and Omicron variants, as well as cellular immune response using interferon-γ and IL-2 immunoassays were assessed at day 28 after BNT162b2 in both groups, at day 90 (planned only in the interventional group) and at day 180 (laboratory data cut-off on Nov 19, 2021). This study was registered with EudraCT (2021-001978-37) and ClinicalTrials.gov (NCT04860739). FINDINGS In this secondary analysis, 664 individuals (441 from IG and 223 from CG) were included. At day 28 post vaccine, geometric mean titres (GMT) of RBD antibodies were 5616·91 BAU/mL (95% CI 5296·49-5956·71) in the IG and 7298·22 BAU/mL (6739·41-7903·37) in the CG (p < 0·0001). RBD antibodies titres decreased at day 180 (1142·0 BAU/mL [1048·69-1243·62] and 1836·4 BAU/mL [1621·62-2079·62] in the IG and CG, respectively; p < 0·0001). Neutralising antibodies also waned from day 28 to day 180 in both the IG (1429·01 [1220·37-1673·33] and 198·72 [161·54-244·47], respectively) and the CG (1503·28 [1210·71-1866·54] and 295·57 [209·84-416·33], respectively). The lowest variant-specific response was observed against Omicron-and Beta variants, with low proportion of individuals exhibiting specific neutralising antibody titres (NT50) >1:100 at day 180 (19% and 22%, respectively). INTERPRETATION Titres of RBD antibodies decay over time, similar to homologous regimes. Our findings suggested that delaying administration of the second dose did not have a detrimental effect after vaccination and may have improved the response obtained. Lower neutralisation was observed against Omicron and Beta variants at day 180. FUNDING Funded by Instituto de Salud Carlos III (ISCIII).
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Affiliation(s)
- Javier García-Pérez
- Unidad de Inmunopatología del SIDA, Centro Nacional de Microbiología, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - María González-Pérez
- Laboratorio de Referencia en Inmunología, Centro Nacional de Microbiología, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - María Castillo de la Osa
- Laboratorio de Serología, Centro Nacional de Microbiología, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Alberto M. Borobia
- Servicio de Farmacología Clínica, Departamento de Farmacología y Terapéutica, Facultad de Medicina, Hospital Universitario La Paz, IdiPAZ, Universidad Autónoma de Madrid, Madrid, Spain
| | - Luis Castaño
- Biocruces Bizkaia, Hospital Universitario Cruces, CIBERDEM, CIBERER, Endo-ERN, UPV-EHU, Barakaldo, Spain
| | - María Jesús Bertrán
- Servicio de Medicina Preventiva y Epidemiologia, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Magdalena Campins
- Servicio de Medicina Preventiva y Epidemiología, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Antonio Portolés
- Servicio de Farmacología Clínica, Hospital Clínico San Carlos, IdISSC, Madrid, Spain
- Departamento de Farmacología y Toxicología, Facultad de Medicina, Universidad Complutense de Madrid (UCM), Madrid, Spain
- Spanish Clinical Research Network – SCReN – ISCIII, Madrid, Spain
| | - David Lora
- Instituto de Investigación Sanitaria Hospital 12 de octubre (imas12), Facultad de Medicina, Universidad Complutense de Madrid (UCM)
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Spanish Clinical Research Network – SCReN – ISCIII, Madrid, Spain
- Facultad de Estudios Estadísticos, Universidad Complutense de Madrid (UCM), Madrid, Spain
| | - Mercedes Bermejo
- Unidad de Inmunopatología del SIDA, Centro Nacional de Microbiología, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Patricia Conde
- Laboratorio de Referencia en Inmunología, Centro Nacional de Microbiología, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Lourdes Hernández-Gutierrez
- Laboratorio de Serología, Centro Nacional de Microbiología, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Antonio Carcas
- Servicio de Farmacología Clínica, Departamento de Farmacología y Terapéutica, Facultad de Medicina, Hospital Universitario La Paz, IdiPAZ, Universidad Autónoma de Madrid, Madrid, Spain
| | - Eunate Arana-Arri
- Biocruces Bizkaia, Hospital Universitario Cruces, CIBERDEM, CIBERER, Endo-ERN, UPV-EHU, Barakaldo, Spain
| | - Marta Tortajada
- Servicio de Prevención de Riesgos Laborales, Salud Laboral, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Inmaculada Fuentes
- Unidad de Soporte a la Investigación Clínica, Vall d'Hebron Institut de Recerca, Barcelona, Spain
| | - Ana Ascaso
- Servicio de Farmacología Clínica, Hospital Clínico San Carlos, IdISSC, Madrid, Spain
| | - María Teresa García-Morales
- Instituto de Investigación Sanitaria Hospital 12 de octubre (imas12), Facultad de Medicina, Universidad Complutense de Madrid (UCM)
- Spanish Clinical Research Network – SCReN – ISCIII, Madrid, Spain
| | | | - José-Ramón Arribas
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Servicio de Medicina Interna, Departamento de Medicina, Facultad de Medicina, Hospital Universitario La Paz, IdiPAZ, Universidad Autónoma de Madrid, Madrid, Spain
| | - Natale Imaz-Ayo
- Biocruces Bizkaia, Hospital Universitario Cruces, CIBERDEM, CIBERER, Endo-ERN, UPV-EHU, Barakaldo, Spain
| | - Eugènia Mellado-Pau
- Servicio de Medicina Preventiva y Epidemiologia, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Antonia Agustí
- Servicio de Farmacología Clínica, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Departament de Farmacologia, Terapèutica i Toxicologia, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain
| | - Carla Pérez-Ingidua
- Servicio de Farmacología Clínica, Hospital Clínico San Carlos, IdISSC, Madrid, Spain
| | - Agustín Gómez de la Cámara
- Instituto de Investigación Sanitaria Hospital 12 de octubre (imas12), Facultad de Medicina, Universidad Complutense de Madrid (UCM)
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Facultad de Medicina, Universidad Complutense de Madrid (UCM), Madrid, Spain
- Spanish Clinical Research Network – SCReN – ISCIII, Madrid, Spain
| | - Jordi Ochando
- Laboratorio de Referencia en Inmunología, Centro Nacional de Microbiología, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | | | - Jesús Frías
- Servicio de Farmacología Clínica, Departamento de Farmacología y Terapéutica, Facultad de Medicina, Hospital Universitario La Paz, IdiPAZ, Universidad Autónoma de Madrid, Madrid, Spain
| | - José Alcamí
- Unidad de Inmunopatología del SIDA, Centro Nacional de Microbiología, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Corresponding author at: Unidad de Inmunopatología del SIDA Instituto de Salud Carlos III, 28220 Majadahonda, Spain.
| | - Mayte Pérez-Olmeda
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Laboratorio de Serología, Centro Nacional de Microbiología, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Corresponding author at: Laboratorio de Serología, Instituto de salud Carlos III, 28220 Majadahonda, Spain.
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21
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Stumpf J, Siepmann T, Schwöbel J, Glombig G, Paliege A, Steglich A, Gembardt F, Kessel F, Kröger H, Arndt P, Sradnick J, Frank K, Klimova A, Mauer R, Tonn T, Hugo C. MMF/MPA Is the Main Mediator of a Delayed Humoral Response With Reduced Antibody Decline in Kidney Transplant Recipients After SARS-CoV-2 mRNA Vaccination. Front Med (Lausanne) 2022; 9:928542. [PMID: 35872777 PMCID: PMC9300891 DOI: 10.3389/fmed.2022.928542] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 06/07/2022] [Indexed: 01/14/2023] Open
Abstract
Kidney transplant recipients (KTR) show significantly lower seroconversion rates after SARS-CoV-2 mRNA vaccination compared to dialysis patients (DP). Mycophenolate mofetil or mycophenolic acid (MMF/MPA) in particular has been identified as a risk factor for seroconversion failure. While the majority of all KTR worldwide receive MMF/MPA for immunosuppressive therapy, its impact on antibody decline in seroconverted KTR still remains unclear. In an observational study (NCT04799808), we investigated whether 132 seroconverted KTR (anti-spike S1 IgG or IgA positive after 2 vaccinations) show a more rapid antibody decline with MMF/MPA than those without this medication. A total of 2 months after mRNA vaccination, average anti-spike S1 IgG levels of KTR with MMF/MPA were lower than without (p = 0.001), while no differences between these two groups were observed after 6 months (p = 0.366). Similar results were obtained for anti-RBD IgG antibodies (T2 p = 0.003 and T3 p = 0.135). The probability of severe IgG decline with MMF/MPA was three times lower than without (p = 0.003, OR 0.236, 95% CI 0.091-0.609). In the multivariate analysis, neither immunosuppressants, such as calcineurin inhibitors, mTOR inhibitors (mTOR-I; mechanistic target of rapamycin), glucocorticoids, nor vaccine type, sex, or age showed a significant influence on IgG titer decline between 2 and 6 months. For the decision on additional booster vaccinations, we consider immunosurveillance to be needed as an integral part of renal transplant follow-up after SARS-CoV-2 mRNA vaccination. Not only the lack of seroconversion but also the peak and titer decline of the specific IgG and RBD IgG antibody formation after two mRNA vaccinations is significantly influenced by MMF/MPA.
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Affiliation(s)
- Julian Stumpf
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.,KfH-Nierenzentrum Dresden, Dresden, Germany
| | - Torsten Siepmann
- KfH-Nierenzentrum am Klinikum Chemnitz, Krankenhaus Küchwald, Chemnitz, Germany
| | | | - Grit Glombig
- KfH-Nierenzentrum am Klinikum St. Georg, Leipzig, Germany
| | - Alexander Paliege
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Anne Steglich
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Florian Gembardt
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Friederike Kessel
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Hannah Kröger
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Patrick Arndt
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Jan Sradnick
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Kerstin Frank
- Institut für Transfusionsmedizin Plauen, DRK-Blutspendedienst Nord-Ost gemeinnützige GmbH, Plauen, Germany
| | - Anna Klimova
- National Center for Tumor Diseases (NCT) Dresden, Dresden, Germany
| | - René Mauer
- Faculty of Medicine Carl Gustav Carus, Institute for Medical Informatics and Biometry (IMB), Technische Universität Dresden, Dresden, Germany
| | - Torsten Tonn
- Institute for Transfusion Medicine, German Red Cross Blood Donation Service North-East, Dresden, Germany.,Faculty of Medicine Carl Gustav Carus, Transfusion Medicine, Technische Universität Dresden, Dresden, Germany
| | - Christian Hugo
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.,KfH-Nierenzentrum Dresden, Dresden, Germany
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22
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Liu KT, Han YJ, Wu GH, Huang KYA, Huang PN. Overview of Neutralization Assays and International Standard for Detecting SARS-CoV-2 Neutralizing Antibody. Viruses 2022; 14:v14071560. [PMID: 35891540 PMCID: PMC9322699 DOI: 10.3390/v14071560] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 07/12/2022] [Accepted: 07/15/2022] [Indexed: 11/25/2022] Open
Abstract
We aimed to review the existing literature on the different types of neutralization assays and international standards for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We comprehensively summarized the serological assays for detecting neutralizing antibodies against SARS-CoV-2 and demonstrated the importance of an international standard for calibrating the measurement of neutralizing antibodies. Following the coronavirus disease outbreak in December 2019, there was an urgent demand to detect neutralizing antibodies in patients or vaccinated people to monitor disease outcomes and determine vaccine efficacy. Therefore, many approaches were developed to detect neutralizing antibodies against SARS-CoV-2, such as microneutralization assay, SARS-CoV-2 pseudotype virus assay, enzyme-linked immunosorbent assay (ELISA), and rapid lateral flow assay. Given the many types of serological assays for quantifying the neutralizing antibody titer, the comparison of different assay results is a challenge. In 2020, the World Health Organization proposed the first international standard as a common unit to define neutralizing antibody titer and antibody responses against SARS-CoV-2. These standards are useful for comparing the results of different assays and laboratories.
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Affiliation(s)
- Kuan-Ting Liu
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan; (K.-T.L.); (Y.-J.H.); (G.-H.W.); (K.-Y.A.H.)
- Graduate Institute of Biomedical Science, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan
| | - Yi-Ju Han
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan; (K.-T.L.); (Y.-J.H.); (G.-H.W.); (K.-Y.A.H.)
- Graduate Institute of Biomedical Science, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan
| | - Guan-Hong Wu
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan; (K.-T.L.); (Y.-J.H.); (G.-H.W.); (K.-Y.A.H.)
- Graduate Institute of Biomedical Science, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan
| | - Kuan-Ying A. Huang
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan; (K.-T.L.); (Y.-J.H.); (G.-H.W.); (K.-Y.A.H.)
- Division of Infectious Diseases, Department of Pediatrics, Linkou Chang Gung Memorial Hospital, Taoyuan 333, Taiwan
| | - Peng-Nien Huang
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan; (K.-T.L.); (Y.-J.H.); (G.-H.W.); (K.-Y.A.H.)
- Division of Infectious Diseases, Department of Pediatrics, Linkou Chang Gung Memorial Hospital, Taoyuan 333, Taiwan
- International Master Degree Program for Molecular Medicine in Emerging Viral Infections, Chang Gung University, Taoyuan 33302, Taiwan
- Correspondence:
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23
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Stumpf J, Schwöbel J, Karger C, Schirutschke H, Mauer R, Klimova A, Tonn T, Hugo C. Anti-SARS-CoV-2 Revaccination Success in Kidney Transplant Recipients With No Initial Humoral Response Is Linked to Primary Vaccine Type. Front Med (Lausanne) 2022; 9:910987. [PMID: 35860743 PMCID: PMC9289185 DOI: 10.3389/fmed.2022.910987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 06/07/2022] [Indexed: 11/22/2022] Open
Abstract
Background While anti-SARS-CoV-2 vaccination success in kidney transplant recipients (KTR) after two doses and 1273-mRNA was associated with higher seroconversion rates compared to BNT162b2-mRNA in our “DIA-Vacc Study” (NCT04799808), it remains unclear whether this may also be the case in non-responding KTR after a third vaccination dose. Materials and Methods Non-responding KTR (after two mRNA vaccinations) were investigated 4.5–6 months after study enrollment at first vaccination. One hundred sixty-six of 193 received a third vaccination between 3.5 and 5 months after the initial study enrollment and were always investigated 4 weeks later, exploring humoral immune response (ELISA) and specific cellular responses (interferon-γ release assay). Sixty-seven of 193 measurements in KTR were done immediately before the third vaccination or in KTR without further vaccination at 4.5–6 months. Results Of 193 KTR with no initial immune response 4 weeks after the second vaccination, 106/87 were immunized twice with 1273-mRNA/BNT162b2-mRNA, respectively. Additional mRNA booster vaccination led to positive seroconversion rates of 30–50%, while 16% of the initial non-responders demonstrated a delayed seroconversion without any booster vaccination. Using logistic regression analysis, a positive IgG response after the third vaccination was 23% more likely if the primary vaccine type was 1273-mRNA compared to BNT162b2-mRNA (OR = 4.420, 95% CI [1.208–16.173], p = 0.025). Primary vaccine type, a weak anti-SpikeS1 IgG response 4 weeks after second vaccination (3.2–35.2 BAU/ml, p < 0.001) and a lack of MMF/MPA as part of the immunosuppressive treatment (trend, p = 0.06) but no other variables studied correlated with seroconversion success. Conclusion This observational study adds important evidence toward using 1273-mRNA as the primary mRNA vaccine type for immunosuppressed KTR.
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Affiliation(s)
- Julian Stumpf
- Medizinische Klinik und Poliklinik III, Universitätsklinikum Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Kuratorium für Heimdialyse (KfH)-Nierenzentrum Dresden, Dresden, Germany
- *Correspondence: Julian Stumpf,
| | | | - Claudia Karger
- Kuratorium für Heimdialyse (KfH)-Nierenzentrum am Klinikum St. Georg, Leipzig, Germany
| | - Holger Schirutschke
- Patienten-Heimversorgung Gemeinnützige Stiftung (PHV) Dialysezentrum Dresden Friedrichstadt, Dresden, Germany
| | - René Mauer
- Faculty of Medicine Carl Gustav Carus, Institute for Medical Informatics and Biometry, Technische Universität Dresden, Dresden, Germany
| | - Anna Klimova
- National Center for Tumor Diseases Dresden, Dresden, Germany
| | - Torsten Tonn
- Institute for Transfusion Medicine, German Red Cross Blood Donation Service North-East, Dresden, Germany
- Faculty of Medicine Carl Gustav Carus, Transfusion Medicine, Technische Universität Dresden, Dresden, Germany
| | - Christian Hugo
- Medizinische Klinik und Poliklinik III, Universitätsklinikum Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Kuratorium für Heimdialyse (KfH)-Nierenzentrum Dresden, Dresden, Germany
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Bekliz M, Adea K, Vetter P, Eberhardt CS, Hosszu-Fellous K, Vu DL, Puhach O, Essaidi-Laziosi M, Waldvogel-Abramowski S, Stephan C, L'Huillier AG, Siegrist CA, Didierlaurent AM, Kaiser L, Meyer B, Eckerle I. Neutralization capacity of antibodies elicited through homologous or heterologous infection or vaccination against SARS-CoV-2 VOCs. Nat Commun 2022; 13:3840. [PMID: 35787633 PMCID: PMC9253337 DOI: 10.1038/s41467-022-31556-1] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 06/22/2022] [Indexed: 12/30/2022] Open
Abstract
Emerging SARS-CoV-2 variants raise questions about escape from previous immunity. As the population immunity to SARS-CoV-2 has become more complex due to prior infections with different variants, vaccinations or the combination of both, understanding the antigenic relationship between variants is needed. Here, we have assessed neutralizing capacity of 120 blood specimens from convalescent individuals infected with ancestral SARS-CoV-2, Alpha, Beta, Gamma or Delta, double vaccinated individuals and patients after breakthrough infections with Delta or Omicron-BA.1. Neutralization against seven authentic SARS-CoV-2 isolates (B.1, Alpha, Beta, Gamma, Delta, Zeta and Omicron-BA.1) determined by plaque-reduction neutralization assay allowed us to map the antigenic relationship of SARS-CoV-2 variants. Highest neutralization titers were observed against the homologous variant. Antigenic cartography identified Zeta and Omicron-BA.1 as separate antigenic clusters. Substantial immune escape in vaccinated individuals was detected for Omicron-BA.1 but not Zeta. Combined infection/vaccination derived immunity results in less Omicron-BA.1 immune escape. Last, breakthrough infections with Omicron-BA.1 lead to broadly neutralizing sera.
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Affiliation(s)
- Meriem Bekliz
- Department of Microbiology and Molecular Medicine, University of Geneva, Geneva, Switzerland
| | - Kenneth Adea
- Department of Microbiology and Molecular Medicine, University of Geneva, Geneva, Switzerland
| | - Pauline Vetter
- Division of Infectious Diseases, Geneva University Hospitals, Geneva, Switzerland
- Geneva Centre for Emerging Viral Diseases, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - Christiane S Eberhardt
- Center for Vaccinology and Neonatal Immunology, Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland
- Division of General Pediatrics, Department of Woman, Child and Adolescent Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Center for Vaccinology, Geneva University Hospitals, Geneva, Switzerland
| | - Krisztina Hosszu-Fellous
- Division of Infectious Diseases, Geneva University Hospitals, Geneva, Switzerland
- Geneva Centre for Emerging Viral Diseases, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - Diem-Lan Vu
- Division of Infectious Diseases, Geneva University Hospitals, Geneva, Switzerland
| | - Olha Puhach
- Department of Microbiology and Molecular Medicine, University of Geneva, Geneva, Switzerland
| | - Manel Essaidi-Laziosi
- Department of Microbiology and Molecular Medicine, University of Geneva, Geneva, Switzerland
| | | | - Caroline Stephan
- Transfusion Unit, Department of Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Arnaud G L'Huillier
- Pediatric Infectious Diseases Unit, Department of Women, Child and Adolescent Medicine, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - Claire-Anne Siegrist
- Center for Vaccinology and Neonatal Immunology, Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland
| | - Arnaud M Didierlaurent
- Center for Vaccinology and Neonatal Immunology, Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland
| | - Laurent Kaiser
- Division of Infectious Diseases, Geneva University Hospitals, Geneva, Switzerland
- Geneva Centre for Emerging Viral Diseases, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - Benjamin Meyer
- Center for Vaccinology and Neonatal Immunology, Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland.
| | - Isabella Eckerle
- Department of Microbiology and Molecular Medicine, University of Geneva, Geneva, Switzerland.
- Division of Infectious Diseases, Geneva University Hospitals, Geneva, Switzerland.
- Geneva Centre for Emerging Viral Diseases, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland.
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25
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Habibzadeh F, Habibzadeh P, Yadollahie M, Sajadi MM. Determining the SARS-CoV-2 serological immunoassay test performance indices based on the test results frequency distribution. Biochem Med (Zagreb) 2022; 32:020705. [PMID: 35799990 PMCID: PMC9195604 DOI: 10.11613/bm.2022.020705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 03/10/2022] [Indexed: 11/03/2022] Open
Abstract
Introduction Coronavirus disease 2019 (COVID-19) is known to induce robust antibody response in most of the affected individuals. The objective of the study was to determine if we can harvest the test sensitivity and specificity of a commercial serologic immunoassay merely based on the frequency distribution of the SARS-CoV-2 immunoglobulin (Ig) G concentrations measured in a population-based seroprevalence study. Materials and methods The current study was conducted on a subset of a previously published dataset from the canton of Geneva. Data were taken from two non-consecutive weeks (774 samples from May 4-9, and 658 from June 1-6, 2020). Assuming that the frequency distribution of the measured SARS-CoV-2 IgG is binormal (an educated guess), using a non-linear regression, we decomposed the distribution into its two Gaussian components. Based on the obtained regression coefficients, we calculated the prevalence of SARS-CoV-2 infection, the sensitivity and specificity, and the most appropriate cut-off value for the test. The obtained results were compared with those obtained from a validity study and a seroprevalence population-based study. Results The model could predict more than 90% of the variance observed in the SARS-CoV-2 IgG distribution. The results derived from our model were in good agreement with the results obtained from the seroprevalence and validity studies. Altogether 138 of 1432 people had SARS-CoV-2 IgG ≥ 0.90, the cut-off value which maximized the Youden's index. This translates into a true prevalence of 7.0% (95% confidence interval 5.4% to 8.6%), which is in keeping with the estimated prevalence of 7.7% derived from our model. Our model can provide the true prevalence. Conclusions Having an educated guess about the distribution of test results, the test performance indices can be derived with acceptable accuracy merely based on the test results frequency distribution without the need for conducting a validity study and comparing the test results against a gold-standard test.
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Affiliation(s)
| | - Parham Habibzadeh
- Research Center for Health Sciences, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran
| | | | - Mohammad M. Sajadi
- Institute of Human Virology, University of Maryland School of Medicine, Baltimore, USA
- Global Virus Network, Baltimore, USA
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26
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Long Term Cell Immune Response to COVID-19 Vaccines Assessment Using a Delayed-Type Hypersensitivity (DTH) Cutaneous Test. Diagnostics (Basel) 2022; 12:diagnostics12061421. [PMID: 35741231 PMCID: PMC9221856 DOI: 10.3390/diagnostics12061421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 06/06/2022] [Accepted: 06/07/2022] [Indexed: 11/18/2022] Open
Abstract
Objective: As we progress with mass vaccination against SARS-CoV-2, there are key questions about the immunogenicity of COVID-19 vaccines that still are not answered. Conventional methods to measure cellular immune responses are complex and expensive in a pandemic situation. Patients and methods: Forty healthy healthcare workers accepted to participate during the vaccination schedule with a mRNA vaccine against SARS-CoV-2. Measurement of Delayed-Type Hypersensitivity (DTH) cutaneous response after intradermal test of protein S of SARS-CoV-2 at day 35 and day 200 was performed. At the same time, a specific anti-RBD IgG using a classic ELISA before vaccination, and on days 0, 35, and 200 was performed. Results: All 40 individuals had a positive DTH skin response at day 35, whereas 39 participants had a positive skin test at day 200. Moreover, although all 40 individuals showed a positive humoral response of specific IgG against spike protein at day 35, with most of them having significantly lower levels at day 200. Conclusion: DTH could be proposed as an ideal and easy method to predict cellular immunity response to mRNA vaccines 200 days after starting an immunization schedule with mRNA vaccine for COVID-19.
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27
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Stumpf J, Schwöbel J, Lindner T, Anders L, Siepmann T, Karger C, Hüther J, Martin H, Müller P, Faulhaber-Walter R, Langer T, Schirutschke H, Stehr T, Meistring F, Pietzonka A, Anding-Rost K, Escher K, Pistrosch F, Schewe J, Seidel H, Barnett K, Pluntke T, Cerny S, Paliege A, Bast I, Steglich A, Gembardt F, Kessel F, Kröger H, Arndt P, Sradnick J, Frank K, Klimova A, Mauer R, Grählert X, Tonn T, Hugo C. Risk of strong antibody decline in dialysis and transplant patients after SARS-CoV-2mRNA vaccination: Six months data from the observational Dia-Vacc study. THE LANCET REGIONAL HEALTH. EUROPE 2022; 17:100371. [PMID: 35434688 PMCID: PMC8995854 DOI: 10.1016/j.lanepe.2022.100371] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Background Vulnerable dialysis and kidney transplant patients show impaired seroconversion rates compared to medical personnel eight weeks after SARS-CoV-2mRNA vaccination. Methods We evaluated six months follow up data in our observational Dia-Vacc study exploring specific cellular (interferon-γ release assay) or/and humoral immune responses after 2x SARS-CoV-2mRNA vaccination in 1205 participants including medical personnel (125 MP), dialysis patients (970 DP) and kidney transplant recipients (110 KTR) with seroconversion (de novo IgA or IgG antibody positivity by ELISA) after eight weeks. Findings Six months after vaccination, seroconversion remained positive in 98% of MP, but 91%/87% of DP/KTR (p = 0·005), respectively. Receptor binding domain-IgG (RBD-IgG) antibodies were positive in 98% of MP, but only 68%/57% of DP/KTR (p < 0·001), respectively. Compared to MP, DP and KTR were at risk for a strong IgG or RBD-IgG decline (p < 0·001). Within the DP but not KTR group male gender, peritoneal dialysis, short time on dialysis, BNT162b2mRNA vaccine, immunosuppressive drug use and diabetes mellitus were independent risk factors for a strong decline of IgG or RBD antibodies. The percentage of cellular immunity decline was similar in all groups. Interpretation Both vulnerable DP and KTR groups are at risk for a strong decline for IgG and RBD antibodies. In KTR, antibody titres peak at a markedly lower level and accelerated antibody decline is mixed with a delayed/increasing IgG, RBD-IgG, or cellular immune response in a 16% fraction of patients. In both populations, immune monitoring should be used for early timing of additional booster vaccinations. Funding This study was funded by the Else Kröner Fresenius Stiftung, Bad Homburg v. d. H., grant number Fördervertrag EKFS 2021_EKSE.27.
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Affiliation(s)
- Julian Stumpf
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- KfH-Nierenzentrum Dresden, Dresden, Germany
| | | | - Tom Lindner
- Division of Nephrology, University Hospital Leipzig, Leipzig, Germany
| | | | - Torsten Siepmann
- KfH-Nierenzentrum am Klinikum Chemnitz, Krankenhaus Küchwald, Chemnitz, Germany
| | - Claudia Karger
- KfH-Nierenzentrum am Klinikum St. Georg, Leipzig, Germany
| | | | - Heike Martin
- Nephrologisches Zentrum Zwickau, Zwickau, Germany
| | - Petra Müller
- PHV Dialysezentrum Dresden-Johannstadt, Dresden, Germany
| | | | | | | | | | - Frank Meistring
- KfH-Nierenzentrum am Städtischen Klinikum Görlitz, Görlitz, Germany
| | | | | | - Katja Escher
- KfH-Gesundheitszentrum Aue, Aue-Bad-Schlema, Germany
| | | | - Jens Schewe
- Dialyse- und Nierenambulanz Sebnitz, Sebnitz, Germany
| | - Harald Seidel
- KfH-Nierenzentrum am Vogtland Krankenhaus Plauen, Plauen, Germany
| | | | | | - Simon Cerny
- ELBLAND Dialyse Großenhain, Großenhain, Germany
| | - Alexander Paliege
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | | | - Anne Steglich
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Florian Gembardt
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Friederike Kessel
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Hannah Kröger
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Patrick Arndt
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Jan Sradnick
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Kerstin Frank
- Institut für Transfusionsmedizin Plauen, DRK-Blutspendedienst Nord-Ost Gemeinnützige GmbH, Plauen, Germany
| | - Anna Klimova
- National Center for Tumor Diseases (NCT) Partner Site Dresden, Dresden, Germany
| | - René Mauer
- Faculty of Medicine Carl Gustav Carus, Institute for Medical Informatics and Biometry (IMB), Technische Universität, Dresden, Germany
| | - Xina Grählert
- Coordinating Centre for Clinical Trials, Dresden, Germany
| | - Torsten Tonn
- Institute for Transfusion Medicine, German Red Cross Blood Donation Service North-East, Dresden, Germany
- Faculty of Medicine Carl Gustav Carus, Transfusion Medicine, Technische Universität, Dresden, Germany
| | - Christian Hugo
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- KfH-Nierenzentrum Dresden, Dresden, Germany
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28
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Seo JD, Nam M, Lee TH, Ahn YS, Shin SH, Han HY, Moon HW. Comparison of Four Systems for SARS-CoV-2 Antibody at Three Time Points after SARS-CoV-2 Vaccination. Diagnostics (Basel) 2022; 12:diagnostics12061349. [PMID: 35741159 PMCID: PMC9222035 DOI: 10.3390/diagnostics12061349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 05/27/2022] [Accepted: 05/27/2022] [Indexed: 02/04/2023] Open
Abstract
Background: Immunity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) wanes over time after vaccination. Methods: We compared SARS-CoV-2 antibody levels in serial samples from 350 vaccinated individuals at 3 time points (3 weeks after the first or second dose and before the third dose) with 4 assays: GenScript cPASS SARS-CoV-2 neutralization antibody detection kits (cPASS), Siemens SARS-CoV-2 IgG (sCOVG), Abbott SARS-CoV-2 IgG II Quant (CoV-2 IgG II), and an Immuno-On™ COVID-19 IgG test (Immuno-On IgG). Antibody levels by time, concordance between assays, and values from other tests corresponding to the percent inhibition results in cPASS were assessed. Results: The median values at three time points were 49.31%, 90.87%, and 53.38% inhibition for cPASS, 5.39, 13.65, and 2.24 U/mL for sCOVG, 570.25, 1279.65, and 315.80 AU/mL for CoV-2 IgG II, and 223.22, 362.20, and 62.20 relative units (RU) for Immuno-On IgG. The concordance with cPASS at each time point ranged from 0.735 to 0.984, showing the highest concordance in the second sample and lowest concordance in the third in all comparative tests. The values corresponded to 30% inhibition, and the cutoffs of cPASS, were 2.02 U/mL, 258.6 AU/mL, and 74.2 RU for each test. Those for 50%, 70%, and 90% inhibition were 3.16, 5.66, and 8.26 U/mL for sCOVG, while they were 412.5, 596.9, and 1121.6 AU/mL for CoV-2 IgG II and 141.8, 248.92, and 327.14 RU for Immuno-On IgG. Conclusions: This study demonstrated the dynamic changes in antibody values at different time points using four test systems and is expected to provide useful baseline data for comparative studies and standardization efforts in the future.
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Affiliation(s)
- Jong Do Seo
- Department of Laboratory Medicine, Konkuk University School of Medicine, Seoul 05030, Korea; (J.D.S.); (T.H.L.); (Y.-S.A.); (S.-H.S.); (H.Y.H.)
| | - Minjeong Nam
- Department of Laboratory Medicine, Korea University Anam Hospital, Seoul 02841, Korea;
| | - Tae Hwan Lee
- Department of Laboratory Medicine, Konkuk University School of Medicine, Seoul 05030, Korea; (J.D.S.); (T.H.L.); (Y.-S.A.); (S.-H.S.); (H.Y.H.)
| | - Yeon-Sun Ahn
- Department of Laboratory Medicine, Konkuk University School of Medicine, Seoul 05030, Korea; (J.D.S.); (T.H.L.); (Y.-S.A.); (S.-H.S.); (H.Y.H.)
| | - Seon-Hyeon Shin
- Department of Laboratory Medicine, Konkuk University School of Medicine, Seoul 05030, Korea; (J.D.S.); (T.H.L.); (Y.-S.A.); (S.-H.S.); (H.Y.H.)
| | - Hye Young Han
- Department of Laboratory Medicine, Konkuk University School of Medicine, Seoul 05030, Korea; (J.D.S.); (T.H.L.); (Y.-S.A.); (S.-H.S.); (H.Y.H.)
| | - Hee-Won Moon
- Department of Laboratory Medicine, Konkuk University School of Medicine, Seoul 05030, Korea; (J.D.S.); (T.H.L.); (Y.-S.A.); (S.-H.S.); (H.Y.H.)
- Correspondence: author: ; Tel.: +82-2-2030-5583
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Bouman JA, Kadelka S, Stringhini S, Pennacchio F, Meyer B, Yerly S, Kaiser L, Guessous I, Azman AS, Bonhoeffer S, Regoes RR. Applying mixture model methods to SARS-CoV-2 serosurvey data from Geneva. Epidemics 2022; 39:100572. [PMID: 35580458 PMCID: PMC9076579 DOI: 10.1016/j.epidem.2022.100572] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 02/01/2022] [Accepted: 04/25/2022] [Indexed: 11/16/2022] Open
Abstract
Serosurveys are an important tool to estimate the true extent of the current SARS-CoV-2 pandemic. So far, most serosurvey data have been analyzed with cutoff-based methods, which dichotomize individual measurements into sero-positives or negatives based on a predefined cutoff. However, mixture model methods can gain additional information from the same serosurvey data. Such methods refrain from dichotomizing individual values and instead use the full distribution of the serological measurements from pre-pandemic and COVID-19 controls to estimate the cumulative incidence. This study presents an application of mixture model methods to SARS-CoV-2 serosurvey data from the SEROCoV-POP study from April and May 2020 in Geneva (2766 individuals). Besides estimating the total cumulative incidence in these data (8.1% (95% CI: 6.8%–9.9%)), we applied extended mixture model methods to estimate an indirect indicator of disease severity, which is the fraction of cases with a distribution of antibody levels similar to hospitalized COVID-19 patients. This fraction is 51.2% (95% CI: 15.2%–79.5%) across the full serosurvey, but differs between three age classes: 21.4% (95% CI: 0%–59.6%) for individuals between 5 and 40 years old, 60.2% (95% CI: 21.5%–100%) for individuals between 41 and 65 years old and 100% (95% CI: 20.1%–100%) for individuals between 66 and 90 years old. Additionally, we find a mismatch between the inferred negative distribution of the serosurvey and the validation data of pre-pandemic controls. Overall, this study illustrates that mixture model methods can provide additional insights from serosurvey data.
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Doyen D, Morand L, Jozwiak M, Aurenche Mateu D, Saccheri C, Hyvernat H, Cremoni M, Brglez V, Bèle N, Bernardin G, Seitz-Polski B, Dellamonica J. Impact of Isolation Time of COVID-19 Patients in Intensive Care Unit on Healthcare Workers Contamination and Nursing Care Intensity. Front Med (Lausanne) 2022; 9:824563. [PMID: 35402453 PMCID: PMC8990820 DOI: 10.3389/fmed.2022.824563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 02/17/2022] [Indexed: 01/08/2023] Open
Abstract
Background The optimal isolation time of COVID-19 patients in intensive care unit (ICU) is debated. We investigated the impact of two different COVID-19 patient isolation time strategies on healthcare workers (HCW) contamination, intensity of nursing care and potential associated adverse events. Methods We prospectively included all consecutive COVID-19 patients and HCW in our ICU in the first two pandemic waves (March to May 2020 and August to November 2020). Specific isolation measures for COVID-19 patients were released after two negative RT-PCR assays in the first wave and 14 days after the onset of symptoms in the second wave. Contamination of HCW was assessed at the end of each pandemic wave by combining both a RT-PCR assay and a serological test. Results Overall, 117 COVID-19 patients and 73 HCW were included. Despite an earlier release from isolation after ICU admission in the second than in the first wave [6 (4–8) vs. 15 (11–19) days, p < 0.01], the proportion of HCW with a positive serological test (16 vs. 17%, p = 0.94) or with a positive RT-PCR assay (3 vs. 5%, p = 0.58) was not different between the two waves. Although a lower nurse-to-bed ratio, the intensity of nursing care was higher in the second than in the first wave. A longer isolation time was associated with accidental extubation (OR = 1.18, 95%CI:1.07–1.35, p = 0.005) but neither with ventilator-associated pneumonia nor with dysglycemia. Conclusion A shorter isolation time of COVID-19 patients in ICU was not associated with higher HCW contamination, while a longer isolation time seemed to be associated with higher accidental extubation.
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Affiliation(s)
- Denis Doyen
- Service de Médecine Intensive Réanimation, Centre Hospitalier Universitaire de Nice, Hôpital Archet 1, Nice, France.,UR2CA - Unité de Recherche Clinique Côte d'Azur, Université Côte d'Azur (UCA), Nice, France.,LP2M - CNRS Laboratoire de Physiomédecine Moléculaire, Université Côte d'Azur (UCA), Nice, France
| | - Lucas Morand
- Service de Médecine Intensive Réanimation, Centre Hospitalier Universitaire de Nice, Hôpital Archet 1, Nice, France.,UR2CA - Unité de Recherche Clinique Côte d'Azur, Université Côte d'Azur (UCA), Nice, France
| | - Mathieu Jozwiak
- Service de Médecine Intensive Réanimation, Centre Hospitalier Universitaire de Nice, Hôpital Archet 1, Nice, France.,UR2CA - Unité de Recherche Clinique Côte d'Azur, Université Côte d'Azur (UCA), Nice, France
| | - Didac Aurenche Mateu
- Service de Médecine Intensive Réanimation, Centre Hospitalier Universitaire de Nice, Hôpital Archet 1, Nice, France.,UR2CA - Unité de Recherche Clinique Côte d'Azur, Université Côte d'Azur (UCA), Nice, France
| | - Clément Saccheri
- Service de Médecine Intensive Réanimation, Centre Hospitalier Universitaire de Nice, Hôpital Archet 1, Nice, France.,UR2CA - Unité de Recherche Clinique Côte d'Azur, Université Côte d'Azur (UCA), Nice, France
| | - Hervé Hyvernat
- Service de Médecine Intensive Réanimation, Centre Hospitalier Universitaire de Nice, Hôpital Archet 1, Nice, France.,UR2CA - Unité de Recherche Clinique Côte d'Azur, Université Côte d'Azur (UCA), Nice, France
| | - Marion Cremoni
- UR2CA - Unité de Recherche Clinique Côte d'Azur, Université Côte d'Azur (UCA), Nice, France.,Laboratoire d'Immunologie, Centre Hospitalier Universitaire de Nice, Hôpital Archet 1, Nice, France
| | - Vesna Brglez
- UR2CA - Unité de Recherche Clinique Côte d'Azur, Université Côte d'Azur (UCA), Nice, France.,Laboratoire d'Immunologie, Centre Hospitalier Universitaire de Nice, Hôpital Archet 1, Nice, France
| | - Nicolas Bèle
- Centre Hospitalier Intercommunal de Fréjus Saint-Raphaël, Réanimation Polyvalente, Fréjus, France
| | - Gilles Bernardin
- Service de Médecine Intensive Réanimation, Centre Hospitalier Universitaire de Nice, Hôpital Archet 1, Nice, France.,UR2CA - Unité de Recherche Clinique Côte d'Azur, Université Côte d'Azur (UCA), Nice, France
| | - Barbara Seitz-Polski
- UR2CA - Unité de Recherche Clinique Côte d'Azur, Université Côte d'Azur (UCA), Nice, France.,Laboratoire d'Immunologie, Centre Hospitalier Universitaire de Nice, Hôpital Archet 1, Nice, France
| | - Jean Dellamonica
- Service de Médecine Intensive Réanimation, Centre Hospitalier Universitaire de Nice, Hôpital Archet 1, Nice, France.,UR2CA - Unité de Recherche Clinique Côte d'Azur, Université Côte d'Azur (UCA), Nice, France
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Herzog SA, De Bie J, Abrams S, Wouters I, Ekinci E, Patteet L, Coppens A, De Spiegeleer S, Beutels P, Van Damme P, Hens N, Theeten H. Seroprevalence of IgG antibodies against SARS-CoV-2 - a serial prospective cross-sectional nationwide study of residual samples, Belgium, March to October 2020. EURO SURVEILLANCE : BULLETIN EUROPEEN SUR LES MALADIES TRANSMISSIBLES = EUROPEAN COMMUNICABLE DISEASE BULLETIN 2022; 27. [PMID: 35241216 PMCID: PMC8895468 DOI: 10.2807/1560-7917.es.2022.27.9.2100419] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BackgroundTo control epidemic waves, it is important to know the susceptibility to SARS-CoV-2 and its evolution over time in relation to the control measures taken.AimTo assess the evolving SARS-CoV-2 seroprevalence and seroincidence related to the first national lockdown in Belgium, we performed a nationwide seroprevalence study, stratified by age, sex and region using 3,000-4,000 residual samples during seven periods between 30 March and 17 October 2020.MethodsWe analysed residual sera from ambulatory patients for IgG antibodies against the SARS-CoV-2 S1 protein with a semiquantitative commercial ELISA. Weighted seroprevalence (overall and by age category and sex) and seroincidence during seven consecutive periods were estimated for the Belgian population while accommodating test-specific sensitivity and specificity.ResultsThe weighted overall seroprevalence initially increased from 1.8% (95% credible interval (CrI): 1.0-2.6) to 5.3% (95% CrI: 4.2-6.4), implying a seroincidence of 3.4% (95% CrI: 2.4-4.6) between the first and second collection period over a period of 3 weeks during lockdown (start lockdown mid-March 2020). Thereafter, seroprevalence stabilised, however, significant decreases were observed when comparing the third with the fifth, sixth and seventh period, resulting in negative seroincidence estimates after lockdown was lifted. We estimated for the last collection period mid-October 2020 a weighted overall seroprevalence of 4.2% (95% CrI: 3.1-5.2).ConclusionDuring lockdown, an initially small but increasing fraction of the Belgian population showed serologically detectable signs of exposure to SARS-CoV-2, which did not further increase when confinement measures eased and full lockdown was lifted.
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Affiliation(s)
- Sereina Annik Herzog
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria.,Centre for Health Economics Research and Modelling of Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Wilrijk, Belgium
| | - Jessie De Bie
- Global Health Institute (GHI), Family Medicine and Population Health (FAMPOP), University of Antwerp, Wilrijk, Belgium.,Centre for the Evaluation of Vaccination, Vaccine and Infectious Disease Institute, University of Antwerp, Wilrijk, Belgium
| | - Steven Abrams
- Data Science Institute (DSI), Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BioStat), UHasselt, Hasselt, Belgium.,Global Health Institute (GHI), Family Medicine and Population Health (FAMPOP), University of Antwerp, Wilrijk, Belgium
| | - Ine Wouters
- Centre for the Evaluation of Vaccination, Vaccine and Infectious Disease Institute, University of Antwerp, Wilrijk, Belgium
| | - Esra Ekinci
- Centre for the Evaluation of Vaccination, Vaccine and Infectious Disease Institute, University of Antwerp, Wilrijk, Belgium
| | - Lisbeth Patteet
- Algemeen Medisch Laboratorium (AML), Sonic Healthcare, Antwerp, Belgium
| | - Astrid Coppens
- Algemeen Medisch Laboratorium (AML), Sonic Healthcare, Antwerp, Belgium
| | | | - Philippe Beutels
- Centre for Health Economics Research and Modelling of Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Wilrijk, Belgium
| | - Pierre Van Damme
- Centre for the Evaluation of Vaccination, Vaccine and Infectious Disease Institute, University of Antwerp, Wilrijk, Belgium
| | - Niel Hens
- Data Science Institute (DSI), Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BioStat), UHasselt, Hasselt, Belgium.,Centre for Health Economics Research and Modelling of Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Wilrijk, Belgium
| | - Heidi Theeten
- Centre for the Evaluation of Vaccination, Vaccine and Infectious Disease Institute, University of Antwerp, Wilrijk, Belgium
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32
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Raja N, Rajagopalan A, Arunachalam J, Prasath A, Durai R, Rajendran M. Humoral response to viral vector COVID-19 vaccine in hemodialysis patients. Kidney Res Clin Pract 2022; 41:342-350. [PMID: 35286797 PMCID: PMC9184837 DOI: 10.23876/j.krcp.21.184] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 10/31/2021] [Indexed: 11/04/2022] Open
Affiliation(s)
- Niranjan Raja
- Department of Nephrology, Madurai Medical College, Madurai, India
- Correspondence: Niranjan Raja Department of Nephrology, Madurai Medical College, Panagal road, Alwarpuram, Madurai, Tamil Nadu 625020, India. E-mail:
| | - Arul Rajagopalan
- Department of Nephrology, Madurai Medical College, Madurai, India
| | | | - Arun Prasath
- Department of Nephrology, Madurai Medical College, Madurai, India
| | - Rakesh Durai
- Department of Nephrology, Madurai Medical College, Madurai, India
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33
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Mahdi A, Khazen G, Aziz N, Mina J, Papazian A, Daou L, Ahmar J, Assaf N, Abdulkhalek A, Farhat H, Mokhbat J, Farra A, Husni R. Severe acute respiratory syndrome coronavirus 2 antibody seroprevalence in Lebanon: a population-based cross-sectional study. IJID REGIONS 2022; 2:184-190. [PMID: 35721422 PMCID: PMC8800496 DOI: 10.1016/j.ijregi.2022.01.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 01/14/2022] [Accepted: 01/17/2022] [Indexed: 11/17/2022]
Affiliation(s)
- Ahmad Mahdi
- Department of Internal Medicine, Lebanese American University Medical Centre-Rizk Hospital, Beirut, Lebanon
- Gilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University, Byblos, Lebanon
| | - Georges Khazen
- Computer Science and Mathematics Department, Lebanese American University, Byblos, Lebanon
| | - Nivine Aziz
- Computer Science and Mathematics Department, Lebanese American University, Byblos, Lebanon
| | - Jonathan Mina
- Department of Internal Medicine, Lebanese American University Medical Centre-Rizk Hospital, Beirut, Lebanon
- Gilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University, Byblos, Lebanon
| | - Aram Papazian
- Computer Science and Mathematics Department, Lebanese American University, Byblos, Lebanon
| | - Leonardo Daou
- Computer Science and Mathematics Department, Lebanese American University, Byblos, Lebanon
| | - Jana Ahmar
- Computer Science and Mathematics Department, Lebanese American University, Byblos, Lebanon
| | - Nour Assaf
- Computer Science and Mathematics Department, Lebanese American University, Byblos, Lebanon
| | - Anjy Abdulkhalek
- Computer Science and Mathematics Department, Lebanese American University, Byblos, Lebanon
| | - Hussein Farhat
- Department of Internal Medicine, Lebanese American University Medical Centre-Rizk Hospital, Beirut, Lebanon
- Gilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University, Byblos, Lebanon
| | - Jacques Mokhbat
- Department of Internal Medicine, Lebanese American University Medical Centre-Rizk Hospital, Beirut, Lebanon
- Gilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University, Byblos, Lebanon
| | - Anna Farra
- Department of Internal Medicine, Lebanese American University Medical Centre-Rizk Hospital, Beirut, Lebanon
- Gilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University, Byblos, Lebanon
| | - Rola Husni
- Department of Internal Medicine, Lebanese American University Medical Centre-Rizk Hospital, Beirut, Lebanon
- Gilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University, Byblos, Lebanon
- Corresponding author: Dr Rola Husni, Lebanese American University School of Medicine, Byblos, Lebanon; Tel: +9613924800.
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Sidler D, Born A, Schietzel S, Horn MP, Aeberli D, Amsler J, Möller B, Njue LM, Medri C, Angelillo-Scherrer A, Borradori L, Seyed Jafari SM, Radonjic-Hoesli S, Chan A, Hoepner R, Bacher U, Mani LY, Iype JM, Suter-Riniker F, Staehelin C, Nagler M, Hirzel C, Maurer B, Moor MB. Trajectories of humoral and cellular immunity and responses to a third dose of mRNA vaccines against SARS-CoV-2 in patients with a history of anti-CD20 therapy. RMD Open 2022; 8:e002166. [PMID: 35361691 PMCID: PMC8971359 DOI: 10.1136/rmdopen-2021-002166] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 03/09/2022] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND The majority of patients with B-cell-depleting therapies show compromised vaccination-induced immune responses. Herein, we report on the trajectories of anti-SARS-CoV-2 immune responses in patients of the RituxiVac study compared with healthy volunteers and investigate the immunogenicity of a third vaccination in previously humoral non-responding patients. METHODS We investigated the humoral and cell-mediated immune response after SARS-CoV-2 messanger RNA vaccination in patients with a history with anti-CD20 therapies. Coprimary outcomes were antispike and SARS-CoV-2-stimulated interferon-γ concentrations in vaccine responders 4.3 months (median; IQR: 3.6-4.8 months) after first evaluation, and humoral and cell-mediated immunity (CMI) after a third vaccine dose in previous humoral non-responders. Immunity decay rates were compared using analysis of covariance in linear regression. RESULTS 5.6 months (IQR: 5.1-6.7) after the second vaccination, we detected antispike IgG in 88% (29/33) and CMI in 44% (14/32) of patients with a humoral response after two-dose vaccination compared with 92% (24/26) healthy volunteers with antispike IgG and 69% (11/16) with CMI 6.8 months after the second vaccination (IQR: 6.0-7.1). Decay rates of antibody concentrations were comparable between patients and controls (p=0.70). In two-dose non-responders, a third SARS-CoV-2 vaccine elicited humoral responses in 19% (6/32) and CMI in 32% (10/31) participants. CONCLUSION This study reveals comparable immunity decay rates between patients with anti-CD20 treatments and healthy volunteers, but inefficient humoral or CMI after a third SARS-CoV-2 vaccine in most two-dose humoral non-responders calling for individually tailored vaccination strategies in this population.Trial registration numberNCT04877496; ClinicalTrials.gov number.
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Affiliation(s)
- Daniel Sidler
- Department of Nephrology and Hypertension, Inselspital University Hospital Bern, Bern, Switzerland
| | - Alexander Born
- Department of Nephrology and Hypertension, Inselspital University Hospital Bern, Bern, Switzerland
| | - Simeon Schietzel
- Department of Nephrology and Hypertension, Inselspital University Hospital Bern, Bern, Switzerland
| | - Michael P Horn
- Department of Clinical Chemistry, Inselspital Universitatsspital Bern, Bern, Switzerland
| | - Daniel Aeberli
- Department of Rheumatology and Immunology, Inselspital University Hospital Bern, Bern, Switzerland
| | - Jennifer Amsler
- Department of Rheumatology and Immunology, Inselspital University Hospital Bern, Bern, Switzerland
| | - Burkhard Möller
- Department of Rheumatology and Immunology, Inselspital University Hospital Bern, Bern, Switzerland
| | - Linet M Njue
- Department of Haematology and Central Haematology Laboratory, Inselspital University Hospital Bern, Bern, Switzerland
| | - Cesare Medri
- Department of Haematology and Central Haematology Laboratory, Inselspital University Hospital Bern, Bern, Switzerland
| | - Anne Angelillo-Scherrer
- Department of Haematology and Central Haematology Laboratory, Inselspital University Hospital Bern, Bern, Switzerland
| | - Luca Borradori
- Department of Dermatology, Inselspital University Hospital Bern, Bern, Switzerland
| | | | | | - Andrew Chan
- Department of Neurology, Inselspital University Hospital Bern, Bern, Switzerland
| | - Robert Hoepner
- Department of Neurology, Inselspital University Hospital Bern, Bern, Switzerland
| | - Ulrike Bacher
- Department of Haematology and Central Haematology Laboratory, Inselspital University Hospital Bern, Bern, Switzerland
| | - Laila-Yasmin Mani
- Department of Nephrology and Hypertension, Inselspital University Hospital Bern, Bern, Switzerland
| | - Joseena Mariam Iype
- Department of Clinical Chemistry, Inselspital Universitatsspital Bern, Bern, Switzerland
| | | | - Cornelia Staehelin
- Department of Infectious Diseases, Inselspital University Hospital Bern, Bern, Switzerland
| | - Michael Nagler
- Department of Clinical Chemistry, Inselspital Universitatsspital Bern, Bern, Switzerland
| | - Cedric Hirzel
- Department of Infectious Diseases, Inselspital University Hospital Bern, Bern, Switzerland
| | - Britta Maurer
- Department of Rheumatology and Immunology, Inselspital University Hospital Bern, Bern, Switzerland
| | - Matthias B Moor
- Department of Nephrology and Hypertension, Inselspital University Hospital Bern, Bern, Switzerland
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Richard A, Wisniak A, Perez-Saez J, Garrison-Desany H, Petrovic D, Piumatti G, Baysson H, Picazio A, Pennacchio F, De Ridder D, Chappuis F, Vuilleumier N, Low N, Hurst S, Eckerle I, Flahault A, Kaiser L, Azman AS, Guessous I, Stringhini S. Seroprevalence of anti-SARS-CoV-2 IgG antibodies, risk factors for infection and associated symptoms in Geneva, Switzerland: a population-based study. Scand J Public Health 2022; 50:124-135. [PMID: 34664529 PMCID: PMC8808008 DOI: 10.1177/14034948211048050] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 07/08/2021] [Accepted: 08/23/2021] [Indexed: 01/08/2023]
Abstract
Aims: To assess SARS-CoV-2 seroprevalence over the first epidemic wave in the canton of Geneva, Switzerland, as well as risk factors for infection and symptoms associated with IgG seropositivity. Methods: Between April and June 2020, former participants of a representative survey of the 20-74-year-old population of canton Geneva were invited to participate in the study, along with household members aged over 5 years. Blood samples were tested for anti-SARS-CoV-2 immunoglobulin G. Questionnaires were self-administered. We estimated seroprevalence with a Bayesian model accounting for test performance and sampling design. Results: We included 8344 participants, with an overall adjusted seroprevalence of 7.8% (95% credible interval 6.8-8.9). Seroprevalence was highest among 18-49 year-olds (9.5%), and lowest in 5-9-year-old children (4.3%) and individuals >65 years (4.7-5.4%). Odds of seropositivity were significantly reduced for female retirees and unemployed men compared to employed individuals, and smokers compared to non-smokers. We found no significant association between occupation, level of education, neighborhood income and the risk of being seropositive. The symptom most strongly associated with seropositivity was anosmia/dysgeusia. Conclusions: Anti-SARS-CoV-2 population seroprevalence remained low after the first wave in Geneva. Socioeconomic factors were not associated with seropositivity in this sample. The elderly, young children and smokers were less frequently seropositive, although it is not clear how biology and behaviours shape these differences.
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Affiliation(s)
- Aude Richard
- Division of Primary Care, Geneva University Hospitals, Switzerland
- Institute of Global Health, University of Geneva, Switzerland
| | - Ania Wisniak
- Division of Primary Care, Geneva University Hospitals, Switzerland
- Institute of Global Health, University of Geneva, Switzerland
| | - Javier Perez-Saez
- Institute of Global Health, University of Geneva, Switzerland
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, USA
| | | | - Dusan Petrovic
- Division of Primary Care, Geneva University Hospitals, Switzerland
- University Centre for General Medicine and Public Health (UNISANTE), University of Lausanne, Switzerland
| | - Giovanni Piumatti
- Division of Primary Care, Geneva University Hospitals, Switzerland
- Faculty of BioMedicine, Università della Svizzera Italiana, Switzerland
| | - Hélène Baysson
- Division of Primary Care, Geneva University Hospitals, Switzerland
- Department of Health and Community Medicine, University of Geneva, Switzerland
| | - Attilio Picazio
- Division of Primary Care, Geneva University Hospitals, Switzerland
| | | | - David De Ridder
- Division of Primary Care, Geneva University Hospitals, Switzerland
- Department of Health and Community Medicine, University of Geneva, Switzerland
| | - François Chappuis
- Department of Health and Community Medicine, University of Geneva, Switzerland
- Division of Tropical and Humanitarian Medicine, Geneva University Hospitals, Switzerland
| | - Nicolas Vuilleumier
- Division of Laboratory Medicine, Geneva University Hospitals, Switzerland
- Department of Medicine, University of Geneva, Switzerland
| | - Nicola Low
- Institute of Social and Preventive Medicine, University of Bern, Switzerland
| | - Samia Hurst
- Institute for Ethics, History, and the Humanities, University of Geneva, Switzerland
| | - Isabella Eckerle
- Geneva Center for Emerging Viral Diseases and Laboratory of Virology, Geneva University Hospitals, Switzerland
- Department of Microbiology and Molecular Medicine, University of Geneva, Switzerland
| | - Antoine Flahault
- Institute of Global Health, University of Geneva, Switzerland
- Department of Health and Community Medicine, University of Geneva, Switzerland
- Division of Tropical and Humanitarian Medicine, Geneva University Hospitals, Switzerland
| | - Laurent Kaiser
- Department of Medicine, University of Geneva, Switzerland
- Geneva Center for Emerging Viral Diseases and Laboratory of Virology, Geneva University Hospitals, Switzerland
- Division of Infectious Diseases, Geneva University Hospitals, Switzerland
| | - Andrew S. Azman
- Institute of Global Health, University of Geneva, Switzerland
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, USA
| | - Idris Guessous
- Division of Primary Care, Geneva University Hospitals, Switzerland
- Department of Health and Community Medicine, University of Geneva, Switzerland
| | - Silvia Stringhini
- Division of Primary Care, Geneva University Hospitals, Switzerland
- University Centre for General Medicine and Public Health (UNISANTE), University of Lausanne, Switzerland
- Department of Health and Community Medicine, University of Geneva, Switzerland
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Patrone PN, Bedekar P, Pisanic N, Manabe YC, Thomas DL, Heaney CD, Kearsley AJ. Optimal Decision Theory for Diagnostic Testing: Minimizing Indeterminate Classes with Applications to Saliva-Based SARS-CoV-2 Antibody Assays. ARXIV 2022:arXiv:2202.00494v1. [PMID: 35132382 PMCID: PMC8820658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
In diagnostic testing, establishing an indeterminate class is an effective way to identify samples that cannot be accurately classified. However, such approaches also make testing less efficient and must be balanced against overall assay performance. We address this problem by reformulating data classification in terms of a constrained optimization problem that (i) minimizes the probability of labeling samples as indeterminate while (ii) ensuring that the remaining ones are classified with an average target accuracy X. We show that the solution to this problem is expressed in terms of a bathtub principle that holds out those samples with the lowest local accuracy up to an X-dependent threshold. To illustrate the usefulness of this analysis, we apply it to a multiplex, saliva-based SARS-CoV-2 antibody assay and demonstrate up to a 30 % reduction in the number of indeterminate samples relative to more traditional approaches.
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Affiliation(s)
- Paul N Patrone
- National Institute of Standards and Technology · 100 Bureau Drive, Gaithersburg, MD 20899, USA
| | - Prajakta Bedekar
- National Institute of Standards and Technology · 100 Bureau Drive, Gaithersburg, MD 20899, USA
- Johns Hopkins University, Department of Applied Mathematics and Statistics, USA
| | - Nora Pisanic
- Johns Hopkins University, Bloomberg School of Public Health, USA
| | | | | | | | - Anthony J Kearsley
- National Institute of Standards and Technology · 100 Bureau Drive, Gaithersburg, MD 20899, USA
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Sander I, Kespohl S, Zahradnik E, Göcke P, Hosbach I, Herrmann BL, Brüning T, Raulf M. Quantitative measurement of IgG to SARS-CoV-2 antigens using monoclonal antibody-based enzyme-linked immunosorbent assays. Clin Transl Immunology 2022; 11:e1369. [PMID: 35127087 PMCID: PMC8801209 DOI: 10.1002/cti2.1369] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 12/22/2021] [Accepted: 12/23/2021] [Indexed: 12/11/2022] Open
Abstract
OBJECTIVE Standardised quantitative analysis of the humoral immune response to SARS-CoV-2 antigens may be useful for estimating the extent and duration of immunity. The aim was to develop enzyme-linked immunosorbent assays (ELISAs) for the quantification of human IgG antibodies against SARS-CoV-2 antigens. METHODS Enzyme-linked immunosorbent assays were developed based on monoclonal antibodies against human IgG and recombinant SARS-CoV-2 antigens (Spike-S1 and Nucleocapsid). The WHO 67/086 immunoglobulin and WHO 20/136 SARS-CoV-2 references were used for standardisation. Sera of a study group of COVID-19-positive subjects (n = 144), pre-pandemic controls (n = 135) and individuals vaccinated with BioNTech-Pfizer BNT162b2 vaccine (n = 48) were analysed. The study group sera were also tested using EuroImmun SARS-CoV-2-ELISAs and a quantitative S1-specific fluorescence enzyme immunoassay (FEIA) from Thermo Fisher. RESULTS The ELISA results were repeatable and traceable to international units because of their parallelism to both WHO references. In the study group, median anti-S1-IgG concentrations were 102 BAU mL-1, compared to 100 and 1457 BAU mL-1 in the vaccination group after first and second vaccination, respectively. The ELISAs achieved an area under the curve (AUC) of 0.965 (S1) and 0.955 (Nucleocapsid) in receiver operating characteristic (ROC) analysis, and a specificity of 1 (S1) and 0.963 (Nucleocapsid) and sensitivity of 0.903 (S1) and 0.833 (Nucleocapsid) at the maximum Youden index. In comparison, the commercial assays (S1-FEIA, S1 and Nucleocapsid ELISA EuroImmun) achieved sensitivities of 0.764, 0.875 and 0.882 in the study group, respectively. CONCLUSIONS The quantitative ELISAs to measure IgG binding to SARS-CoV-2 antigens have good analytical and clinical performance characteristics and units traceable to international standards.
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Affiliation(s)
- Ingrid Sander
- Institute for Prevention and Occupational Medicine of the German Social Accident InsuranceInstitute of the Ruhr University Bochum (IPA)BochumGermany
| | - Sabine Kespohl
- Institute for Prevention and Occupational Medicine of the German Social Accident InsuranceInstitute of the Ruhr University Bochum (IPA)BochumGermany
| | - Eva Zahradnik
- Institute for Prevention and Occupational Medicine of the German Social Accident InsuranceInstitute of the Ruhr University Bochum (IPA)BochumGermany
| | - Philipp Göcke
- Practice for Laboratory Medicine and Microbiology BochumBochumGermany
| | - Ingolf Hosbach
- Institute for Prevention and Occupational Medicine of the German Social Accident InsuranceInstitute of the Ruhr University Bochum (IPA)BochumGermany
- BG University Hospital Bergmannsheil BochumBochumGermany
| | | | - Thomas Brüning
- Institute for Prevention and Occupational Medicine of the German Social Accident InsuranceInstitute of the Ruhr University Bochum (IPA)BochumGermany
| | - Monika Raulf
- Institute for Prevention and Occupational Medicine of the German Social Accident InsuranceInstitute of the Ruhr University Bochum (IPA)BochumGermany
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Guarino C, Larson E, Babasyan S, Rollins A, Joshi LR, Laverack M, Parrilla L, Plocharczyk E, Diel DG, Wagner B. Development of a quantitative COVID-19 multiplex assay and its use for serological surveillance in a low SARS-CoV-2 incidence community. PLoS One 2022; 17:e0262868. [PMID: 35061843 PMCID: PMC8782306 DOI: 10.1371/journal.pone.0262868] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 01/06/2022] [Indexed: 12/14/2022] Open
Abstract
A serological COVID-19 Multiplex Assay was developed and validated using serum samples from convalescent patients and those collected prior to the 2020 pandemic. After initial testing of multiple potential antigens, the SARS-CoV-2 nucleocapsid protein (NP) and receptor-binding domain (RBD) of the spike protein were selected for the human COVID-19 Multiplex Assay. A comparison of synthesized and mammalian expressed RBD proteins revealed clear advantages of mammalian expression. Antibodies directed against NP strongly correlated with SARS-CoV-2 virus neutralization assay titers (rsp = 0.726), while anti-RBD correlation was moderate (rsp = 0.436). Pan-Ig, IgG, IgA, and IgM against NP and RBD antigens were evaluated on the validation sample sets. Detection of NP and RBD specific IgG and IgA had outstanding performance (AUC > 0.90) for distinguishing patients from controls, but the dynamic range of the IgG assay was substantially greater. The COVID-19 Multiplex Assay was utilized to identify seroprevalence to SARS-CoV-2 in people living in a low-incidence community in Ithaca, NY. Samples were taken from a cohort of healthy volunteers (n = 332) in early June 2020. Only two volunteers had a positive result on a COVID-19 PCR test performed prior to serum sampling. Serological testing revealed an exposure rate of at least 1.2% (NP) or as high as 5.7% (RBD), higher than the measured incidence rate of 0.16% in the county at that time. This highly sensitive and quantitative assay can be used for monitoring community exposure rates and duration of immune response following both infection and vaccination.
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Affiliation(s)
- Cassandra Guarino
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, United States of America
| | - Elisabeth Larson
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, United States of America
| | - Susanna Babasyan
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, United States of America
| | - Alicia Rollins
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, United States of America
| | - Lok R. Joshi
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, United States of America
| | - Melissa Laverack
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, United States of America
| | - Lara Parrilla
- Cayuga Medical Center, Ithaca, NY, United States of America
| | | | - Diego G. Diel
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, United States of America
| | - Bettina Wagner
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, United States of America
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Heinrich F, Schröder AS, Gerberding AL, Gerling M, Langenwalder F, Lange P, Heinemann A, Bibiza-Freiwald E, Nörz DS, Aepfelbacher M, Pfefferle S, Ondruschka B, Lütgehetmann M. Postmortem Antigen-Detecting Rapid Diagnostic Tests to Predict Infectivity of SARS-CoV-2-Associated Deaths. Emerg Infect Dis 2022; 28:244-247. [PMID: 34726595 PMCID: PMC8714232 DOI: 10.3201/eid2801.211749] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
We investigated the infectivity of 128 severe acute respiratory disease coronavirus 2-associated deaths and evaluated predictive values of standard diagnostic procedures. Maintained infectivity (20%) did not correlate with viral RNA loads but correlated well with anti-S antibody levels. Sensitivity >90% for antigen-detecting rapid diagnostic tests supports their usefulness for assessment.
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Affiliation(s)
- Fabian Heinrich
- University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | | | | | - Moritz Gerling
- University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | | | - Philine Lange
- University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Axel Heinemann
- University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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Das AK, Chandra K, Dudeja M, Aalam MK. Asymptomatic SARS-COV-2 carriage and sero-positivity in high risk contacts of COVID-19 cases'. Indian J Med Microbiol 2021; 40:279-284. [PMID: 34980489 PMCID: PMC8719123 DOI: 10.1016/j.ijmmb.2021.12.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 12/01/2021] [Accepted: 12/20/2021] [Indexed: 11/23/2022]
Abstract
Purpose Identifying asymptomatic SARS-COV-2 carriage is one of the crucial factors in controlling the COVID 19 pandemic. The relationship between the asymptomatic viral carriage and the rate of seroconversion needs better understanding. The present study was conducted to identify the asymptomatic COVID-19 infection and seropositivity in high-risk contacts in the southern district of Delhi, India. Methods Following the screening of 6961 subjects, a total of 407 asymptomatic high-risk subjects were selected. Demographic data, socioeconomic status, and history of COVID-19 related symptoms in the last 4 months were recorded. Blood samples and Nasopharyngeal/oropharyngeal swabs were collected for the detection of SARS-COV-2 RNA and anti-SARS-COV-2 antibodies. Results 55 asymptomatic high-risk subjects (13.5%) tested positive for SARS-COV-2 infection and among them, 70.9% remained asymptomatic throughout their course of infection. The seropositivity among the subjects was 28.9% (n = 118) and was found significantly higher among lower-middle socioeconomic strata (p = 0.01). The antibody levels were significantly higher (p = 0.033) in individuals with a previous history of COVID-19 like symptoms as compared to the subjects, who had no such history. Asymptomatic healthcare workers showed a significantly increased rate of SARS-COV-2 infection (p = 0.004) and seropositivity (p = 0.005) as compared to the non-healthcare workers. Subjects, who were exposed to infection at their workplace (non-hospital setting) had the least RT-PCR positivity rate (p = 0.03). Conclusions A large proportion of SARS-COV-2 infection remains completely asymptomatic. The rate of asymptomatic carriage and seropositivity is significantly higher in healthcare workers as compared to the general population. The level of SARS-COV-2 antibodies is directly related to the appearance of symptoms. These observations may contribute to redefining COVID 19 screening, infection control, and professional health practice strategies.
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Affiliation(s)
- Ayan Kumar Das
- Department of Microbiology, HIMSR & HAHC Hospital, New Delhi, 110062, India.
| | - Kailash Chandra
- Department of Biochemistry, HIMSR & HAHC Hospital, New Delhi, 110062, India.
| | - Mridu Dudeja
- Department of Microbiology, HIMSR & HAHC Hospital, New Delhi, 110062, India.
| | - Mohd Khursheed Aalam
- Department of Community Medicine, HIMSR & HAHC Hospital, New Delhi, 110062, India.
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Novello S, Terzolo M, Paola B, Gianetta M, Bianco V, Arizio F, Brero D, Perini AME, Boccuzzi A, Caramello V, Perboni A, Bellavia F, Scagliotti GV. Humoral immune response to SARS-CoV-2 in five different groups of individuals at different environmental and professional risk of infection. Sci Rep 2021; 11:24503. [PMID: 34969967 PMCID: PMC8718534 DOI: 10.1038/s41598-021-04279-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 12/13/2021] [Indexed: 02/08/2023] Open
Abstract
It is partially unknown whether the immune response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection persists with time. To address this issue, we detected the presence of SARS-CoV-2 antibodies in different groups of individuals previously diagnosed with COVID-19 disease (group 1 and 2), or potentially exposed to SARS-CoV-2 infection (group 3 and 4), and in a representative group of individuals with limited environmental exposure to the virus due to lockdown restrictions (group 5). The primary outcome was specific anti-SARS-CoV-2 antibodies in the different groups assessed by qualitative and quantitative analysis at baseline, 3 and 6 months follow-up. The seroconversion rate at baseline test was 95% in group 1, 61% in group 2, 40% in group 3, 17% in group 4 and 3% in group 5. Multivariate logistic regression analysis revealed male gender, close COVID-19 contact and presence of COVID-19 related symptoms strongly associated with serological positivity. The percentage of positive individuals as assessed by the qualitative and quantitative tests was superimposable. At the quantitative test, the median level of SARS-CoV-2 antibody levels measured in positive cases retested at 6-months increased significantly from baseline. The study indicates that assessing antibody response to SARS-CoV-2 through qualitative and quantitative testing is a reliable disease surveillance tool.
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Affiliation(s)
- Silvia Novello
- Department of Oncology at San Luigi Hospital, University of Torino, Regione Gonzole 10, 10043, Orbassano, Torino, Italy
| | - Massimo Terzolo
- Department of Clinical & Biological Sciences at San Luigi Hospital, University of Torino, Regione Gonzole 10, 10043, Orbassano, Torino, Italy
| | - Berchialla Paola
- Department of Clinical & Biological Sciences at San Luigi Hospital, University of Torino, Regione Gonzole 10, 10043, Orbassano, Torino, Italy
| | - Martina Gianetta
- Department of Oncology at San Luigi Hospital, University of Torino, Regione Gonzole 10, 10043, Orbassano, Torino, Italy
| | - Valentina Bianco
- Department of Oncology at San Luigi Hospital, University of Torino, Regione Gonzole 10, 10043, Orbassano, Torino, Italy
| | - Francesca Arizio
- Department of Oncology at San Luigi Hospital, University of Torino, Regione Gonzole 10, 10043, Orbassano, Torino, Italy
| | - Dalila Brero
- Department of Clinical & Biological Sciences at San Luigi Hospital, University of Torino, Regione Gonzole 10, 10043, Orbassano, Torino, Italy
| | - Anna Maria Elena Perini
- Department of Clinical & Biological Sciences at San Luigi Hospital, University of Torino, Regione Gonzole 10, 10043, Orbassano, Torino, Italy
| | - Adriana Boccuzzi
- Emergency Care Division, San Luigi Hospital, Regione Gonzole 10, 10043, Orbassano, Torino, Italy
| | - Valeria Caramello
- Emergency Care Division, San Luigi Hospital, Regione Gonzole 10, 10043, Orbassano, Torino, Italy
| | - Alberto Perboni
- Respiratory Medicine Division, San Luigi Hospital, Regione Gonzole 10, 10043, Orbassano, Torino, Italy
| | - Fabio Bellavia
- Respiratory Medicine Division, San Luigi Hospital, Regione Gonzole 10, 10043, Orbassano, Torino, Italy
| | - Giorgio Vittorio Scagliotti
- Department of Oncology at San Luigi Hospital, University of Torino, Regione Gonzole 10, 10043, Orbassano, Torino, Italy.
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Moor MB, Suter-Riniker F, Horn MP, Aeberli D, Amsler J, Möller B, Njue LM, Medri C, Angelillo-Scherrer A, Borradori L, Radonjic-Hoesli S, Seyed Jafari SM, Chan A, Hoepner R, Bacher VU, Mani LY, Iype JM, Hirzel C, Maurer B, Sidler D. Humoral and cellular responses to mRNA vaccines against SARS-CoV-2 in patients with a history of CD20 B-cell-depleting therapy (RituxiVac): an investigator-initiated, single-centre, open-label study. THE LANCET. RHEUMATOLOGY 2021; 3:e789-e797. [PMID: 34514436 PMCID: PMC8423431 DOI: 10.1016/s2665-9913(21)00251-4] [Citation(s) in RCA: 170] [Impact Index Per Article: 42.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND B-cell-depleting therapies increase the risk of morbidity and mortality due to COVID-19. Evidence-based SARS-CoV-2 vaccination strategies for patients on B-cell-depleting therapies are scarce. We aimed to investigate humoral and cell-mediated immune responses to SARS-CoV-2 mRNA-based vaccines in patients receiving CD20-targeted B-cell-depleting agents for autoimmune disease, malignancy, or transplantation. METHODS The RituxiVac study was an investigator-initiated, single-centre, open-label study done at the Bern University Hospital (Bern, Switzerland). Patients with a treatment history of anti-CD20-depleting agents (rituximab or ocrelizumab) and with no previous history of SARS-CoV-2 infection were enrolled between April 26 and June 30, 2021, for analysis of humoral and cell-mediated immune responses (by interferon-γ [IFNγ] release assay) at least 4 weeks after completing vaccination against SARS-CoV-2. Healthy controls without a history of SARS-CoV-2 infection were also enrolled at least 4 weeks after completing vaccination against SARS-CoV-2. All study participants received two doses of either the Pfizer-BioNTech BNT162b2 vaccine or the Moderna mRNA-1273 vaccine. The primary outcome was the proportion of patients with a history of anti-CD20 treatment who showed a humoral immune response against the SARS-CoV-2 spike protein in comparison with immunocompetent controls. Prespecified secondary endpoints were the effect of anti-CD20 therapy (including time since last treatment and cumulative dose) on humoral or cell-mediated immune responses to SARS-CoV-2 vaccination, and biomarkers of immunocompetence. This study is registered with ClinicalTrials.gov, NCT04877496. FINDINGS The final study population comprised 96 patients and 29 immunocompetent controls. The median age of patients was 67 years (IQR 57-72) and of controls was 54 years (45-62), and 51 (53%) of 96 patients and 19 (66%) of 29 controls were female. The median time since last anti-CD20 treatment was 1·07 years (IQR 0·48-2·55) and the median cumulative dose of an anti-CD20 depleting agent was 2·80 g (1·50-5·00). Anti-spike IgG antibodies were detected in 47 (49%) of 96 patients 1·79 months (IQR 1·16-2·48) after the second vaccine dose compared to 29 (100%) of 29 controls 1·81 months (1·17-2·48) after the second vaccine dose (p<0·001). SARS-CoV-2-specific IFNγ release was detected in 13 (20%) of 66 patients and 21 (75%) of 28 of healthy controls (p<0·001). Only nine (14%) of 66 patients were double positive for anti-SARS-CoV-2 spike IgG and cell-mediated responses, compared with 21 (75%) of 28 healthy controls (p<0·001). Time since last anti-CD20 therapy (>7·6 months; positive predictive value 0·78), peripheral CD19+ cell count (>27 cells per μL; positive predictive value 0·70), and CD4+ lymphocyte count (>653 cells per μL; positive predictive value 0·71) were predictive of humoral vaccine response (area under the curve [AUC] 67% [95% CI 56-78] for time since last anti-CD20 therapy, 67% [55-80] for peripheral CD19+ count, and 66% [54-79] for CD4+ count). INTERPRETATION This study provides further evidence of blunted humoral and cell-mediated immune responses elicited by SARS-CoV-2 mRNA vaccines in patients with a history of CD20 B-cell-depleting treatment. Lymphocyte subpopulation counts were associated with vaccine response in this highly vulnerable population. On validation, these results could help guide both the administration of SARS-CoV-2 vaccines and B-cell-depleting agents in this population. FUNDING Bern University Hospital.
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Affiliation(s)
- Matthias B Moor
- Department of Nephrology and Hypertension, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Biomedical Research, University of Bern, Bern, Switzerland
| | | | - Michael P Horn
- Department of Clinical Chemistry, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Daniel Aeberli
- Department of Rheumatology and Immunology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Biomedical Research, University of Bern, Bern, Switzerland
| | - Jennifer Amsler
- Department of Rheumatology and Immunology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Biomedical Research, University of Bern, Bern, Switzerland
| | - Burkhard Möller
- Department of Rheumatology and Immunology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Biomedical Research, University of Bern, Bern, Switzerland
| | - Linet M Njue
- Department of Haematology and Central Haematology Laboratory, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Cesare Medri
- Department of Haematology and Central Haematology Laboratory, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Anne Angelillo-Scherrer
- Department of Haematology and Central Haematology Laboratory, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Luca Borradori
- Department of Dermatology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Susanne Radonjic-Hoesli
- Department of Dermatology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - S Morteza Seyed Jafari
- Department of Dermatology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Andrew Chan
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Robert Hoepner
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Vera Ulrike Bacher
- Department of Haematology and Central Haematology Laboratory, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Laila-Yasmin Mani
- Department of Nephrology and Hypertension, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Biomedical Research, University of Bern, Bern, Switzerland
| | - Joseena Mariam Iype
- Department of Clinical Chemistry, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Cédric Hirzel
- Department of Infectious Diseases, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Britta Maurer
- Department of Rheumatology and Immunology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Biomedical Research, University of Bern, Bern, Switzerland
| | - Daniel Sidler
- Department of Nephrology and Hypertension, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Biomedical Research, University of Bern, Bern, Switzerland
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Stumpf J, Hugo C. Humoral immunity to SARS-CoV-2 vaccination in haemodialysis patients-Authors´ Reply. THE LANCET REGIONAL HEALTH. EUROPE 2021; 10:100244. [PMID: 34723235 PMCID: PMC8547805 DOI: 10.1016/j.lanepe.2021.100244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Julian Stumpf
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- KfH-Nierenzentrum Dresden, Dresden, Germany
| | - Christian Hugo
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- KfH-Nierenzentrum Dresden, Dresden, Germany
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Marchand A, Roulland I, Semence F, Beck O, Ericsson M. Use of Quantitative Dried Blood Spots to Evaluate the Post-Vaccination Level of Neutralizing Antibodies against SARS-CoV-2. Life (Basel) 2021; 11:life11111125. [PMID: 34833001 PMCID: PMC8620034 DOI: 10.3390/life11111125] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 10/12/2021] [Accepted: 10/15/2021] [Indexed: 12/23/2022] Open
Abstract
To combat the COVID-19 pandemic, vaccines against SARS-CoV-2 are now given to protect populations worldwide. The level of neutralizing antibodies following the vaccination will evolve with time and vary between individuals. Immunoassays quantifying immunoglobulins against the viral spike (S) protein in serum/plasma have been developed, but the need for venous blood samples could limit the frequency and scale of control in populations. The use of a quantitative dried blood spot (DBS) that can be self-collected would simplify this monitoring. The objective of this study was to determine whether a quantitative DBS device (Capitainer qDBS 10 µL) could be used in combination with an Elecsys anti-SARS-CoV-2 S immunoassay from Roche to follow the development and persistence of anti-S antibodies. This objective was carried out through two clinical studies. The first study investigated 14 volunteers who received two doses of the Comirnaty (Pfizer) vaccine. The levels of anti-S antibodies and the progression over time post-vaccination were studied for three months. The level of produced antibodies varied between subjects, but a similar trend was observed. The anti-S antibodies were highly stimulated by the second dose (×100) and peaked two weeks later. The antibody levels subsequently decreased and three months later were down to 65%. DBS proved to be sufficiently sensitive for use in evaluating the immune status against SARS-CoV-2 over a prolonged time. The second cohort was composed of 200 random patients from a clinical chemistry department in Stockholm. In this cohort, we had no information on previous COVID-19 infections or vaccination. Nevertheless, 87% of the subjects had anti-S immunoglobulins over 0.8 U/mL, and the bias between plasma and DBS proved to be variable, as was also seen in the first vaccination study.
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Affiliation(s)
- Alexandre Marchand
- Analysis Department, Agence Française de Lutte Contre le Dopage (AFLD), 143 Avenue Roger Salengro, 92290 Châtenay-Malabry, France; (I.R.); (F.S.); (M.E.)
- Correspondence: ; Tel.: +33-(0)146-600-520; Fax: +33-(0)146-603-017
| | - Ingrid Roulland
- Analysis Department, Agence Française de Lutte Contre le Dopage (AFLD), 143 Avenue Roger Salengro, 92290 Châtenay-Malabry, France; (I.R.); (F.S.); (M.E.)
| | - Florian Semence
- Analysis Department, Agence Française de Lutte Contre le Dopage (AFLD), 143 Avenue Roger Salengro, 92290 Châtenay-Malabry, France; (I.R.); (F.S.); (M.E.)
| | - Olof Beck
- Department of Clinical Neuroscience, Karolinska Institute, 171 77 Stockholm, Sweden;
| | - Magnus Ericsson
- Analysis Department, Agence Française de Lutte Contre le Dopage (AFLD), 143 Avenue Roger Salengro, 92290 Châtenay-Malabry, France; (I.R.); (F.S.); (M.E.)
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Serological anti-SARS-CoV-2 neutralizing antibodies association to live virus neutralizing test titers in COVID-19 paucisymptomatic/symptomatic patients and vaccinated subjects. Int Immunopharmacol 2021; 101:108215. [PMID: 34649115 PMCID: PMC8487771 DOI: 10.1016/j.intimp.2021.108215] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 09/22/2021] [Accepted: 09/29/2021] [Indexed: 12/23/2022]
Abstract
A large number of immunoassays have been developed to detect specific anti-SARS-CoV-2 antibodies; however, not always they are functional to neutralize the virus. The reference test for the anti-spike neutralizing antibodies (nAbs) ability to counteract the viral infection is the virus neutralization test (VNT). Great interest is developing on reliable serological assays allowing antibodies concentration and antibody protective titer correlation. The aim of our study was to detect nAbs serum levels in paucisymptomatic, symptomatic and vaccinated subjects, to find a cut-off value able to protect from virus infection. nAbs serum levels were detected by a competitive automated immunoassay, in association to VNT with the SARS-CoV-2 original and British variant strains. The median nAbs concentrations were: 281.3 BAU/ml for paucisymptomatics; 769.4 BAU/ml for symptomatics; 351.65 BAU/ml for the vaccinated cohort; 983 BAU/ml considering only the second dose vaccinated individuals. The original strain VNT analysis showed 1:80 median neutralization titers in paucisymptomatic and vaccinated subjects; 1:160 in symptomatic patients; 1:160 in the second dose groups. The British variant VNT analysis showed lower neutralization titers in paucisymptomatic and vaccinated groups (1:40); the same titer in symptomatic patients (1:160); the second dose group confirmed the original strain titer (1:160). In conclusion, our data showed optimal correlations with a proportional increase between neutralizing activity and antibody concentration, making nAbs detection a good alternative to virus neutralization assays, difficult to carry out in routine laboratories. Finally, ROC curve analysis established a cut-off of 408.6 BAU/ml to identify subjects with a low risk of infection.
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SARS-CoV-2 Neutralizing Antibody Levels Post COVID-19 Vaccination Based on ELISA Method-A Small Real-World Sample Exploration. Vaccines (Basel) 2021; 9:vaccines9101139. [PMID: 34696247 PMCID: PMC8541171 DOI: 10.3390/vaccines9101139] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 09/17/2021] [Accepted: 09/28/2021] [Indexed: 11/17/2022] Open
Abstract
This study investigated the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) neutralizing antibodies following inoculation with the coronavirus disease (COVID-19) vaccine. From June to July 2021, 127 participants who had completed COVID-19 vaccination (inactivated SARS-CoV-2 vaccine, 64; CoronaVac, 61; CanSino, 2) were recruited and tested using SARS-CoV-2 neutralizing antibody kits. The positive detection rate (inhibition of neutralizing antibodies ≥ 30%) was calculated and stratified according to population characteristics and inoculation time. The positive rate of neutralizing antibody was 47.22% (17/36) in men and 53.85% (49/91) in women, and 54.55% (24/44) in BMI ≥ 24 and 50.60% (42/83) in BMI < 24. Age was stratified as 20-29, 30-39, 40-49, and ≥50; positive detection rates of SARS-CoV-2 neutralizing antibodies were observed in 60.00% (24/40), 50.00% (21/42), 48.39% (15/31), and 42.86% (6/14), respectively, but with no significant difference (x2 = 1.724, p = 0.632). Among 127 vaccinated participants, 66 (51.97%) were positive. The positive detection rate was 63.93% (39/61) with CoronaVac and 42.19% (27/64) with the inactivated SARS-CoV-2 vaccine (significance x2 = 5.927, p = 0.015). Multivariate analysis revealed a significant difference in vaccination times, with average vaccination weeks in the positive and negative groups of 11.57 ± 6.48 and 17.87 ± 9.17, respectively (t= -4.501, p < 0.001). The positive neutralizing antibody rate was 100.00%, 60.00%, 58.33%, 55.56%, 43.14%, 28.57%, and 0.00% at 2-4, 5-8, 9-12, 13-16,17-20, 21-24, and >24 weeks, respectively (x2 = 18.030, p = 0.006). Neutralizing antibodies were detected after COVID-19 inoculation, with differences relating to inoculation timing. This study provides a reference for vaccine evaluation and follow-up immunization strengthening.
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Stumpf J, Siepmann T, Lindner T, Karger C, Schwöbel J, Anders L, Faulhaber-Walter R, Schewe J, Martin H, Schirutschke H, Barnett K, Hüther J, Müller P, Langer T, Pluntke T, Anding-Rost K, Meistring F, Stehr T, Pietzonka A, Escher K, Cerny S, Rothe H, Pistrosch F, Seidel H, Paliege A, Beige J, Bast I, Steglich A, Gembardt F, Kessel F, Kröger H, Arndt P, Sradnick J, Frank K, Klimova A, Mauer R, Grählert X, Anft M, Blazquez-Navarro A, Westhoff TH, Stervbo U, Tonn T, Babel N, Hugo C. Humoral and cellular immunity to SARS-CoV-2 vaccination in renal transplant versus dialysis patients: A prospective, multicenter observational study using mRNA-1273 or BNT162b2 mRNA vaccine. THE LANCET REGIONAL HEALTH. EUROPE 2021; 9:100178. [PMID: 34318288 PMCID: PMC8299287 DOI: 10.1016/j.lanepe.2021.100178] [Citation(s) in RCA: 198] [Impact Index Per Article: 49.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND Dialysis and kidney transplant patients are vulnerable populations for COVID-19 related disease and mortality. METHODS We conducted a prospective study exploring the eight week time course of specific cellular (interferon-γ release assay and flow cytometry) or/and humoral immune responses (ELISA) to SARS-CoV-2 boost vaccination in more than 3100 participants including medical personnel, dialysis patients and kidney transplant recipients using mRNA vaccines BNT162b2 or mRNA-1273. RESULTS SARS-CoV-2-vaccination induced seroconversion efficacy in dialysis patients was similar to medical personnel (> 95%), but markedly impaired in kidney transplant recipients (42%). T-cellular immunity largely mimicked humoral results. Major risk factors of seroconversion failure were immunosuppressive drug number and type (belatacept, MMF-MPA, calcineurin-inhibitors) as well as vaccine type (BNT162b2 mRNA). Seroconversion rates induced by mRNA-1273 compared to BNT162b2 vaccine were 97% to 88% (p < 0.001) in dialysis and 49% to 26% in transplant patients, respectively. Specific IgG directed against the new binding domain of the spike protein (RDB) were significantly higher in dialysis patients vaccinated by mRNA-1273 (95%) compared to BNT162b2 (85%, p < 0.001). Vaccination appeared safe and highly effective demonstrating an almost complete lack of symptomatic COVID-19 disease after boost vaccination as well as ceased disease incidences during third pandemic wave in dialysis patients. CONCLUSION Dialysis patients exhibit a remarkably high seroconversion rate of 95% after boost vaccination, while humoral response is impaired in the majority of transplant recipients. Immunosuppressive drug number and type as well as vaccine type (BNT162b2) are major determinants of seroconversion failure in both dialysis and transplant patients suggesting immune monitoring and adaption of vaccination protocols.
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Affiliation(s)
- Julian Stumpf
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- KfH-Nierenzentrum Dresden, Dresden, Germany
| | - Torsten Siepmann
- KfH-Nierenzentrum am Klinikum Chemnitz, Krankenhaus Küchwald, Chemnitz, Germany
| | - Tom Lindner
- Division of Nephrology, University Hospital Leipzig, Leipzig, Germany
| | - Claudia Karger
- KfH-Nierenzentrum am Klinikum St. Georg, Leipzig, Germany
| | | | | | | | - Jens Schewe
- Dialyse- und Nierenambulanz Sebnitz, Sebnitz, Germany
| | - Heike Martin
- Nephrologisches Zentrum Zwickau, Zwickau, Germany
| | | | | | | | - Petra Müller
- PHV Dialysezentrum Dresden-Johannstadt, Dresden, Germany
| | | | | | | | - Frank Meistring
- KfH-Nierenzentrum am Städtischen Klinikum Görlitz, Görlitz, Germany
| | | | | | - Katja Escher
- KfH-Gesundheitszentrum Aue, Aue-Bad-Schlema, Germany
| | - Simon Cerny
- ELBLAND Dialyse Großenhain, Großenhain, Germany
| | | | | | - Harald Seidel
- KfH-Nierenzentrum am Vogtland Krankenhaus Plauen, Plauen, Germany
| | - Alexander Paliege
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Joachim Beige
- KfH-Nierenzentrum am Klinikum St. Georg, Leipzig, Germany
- Department of Nephrology und Rheumatology, Internal Medicine II, Martin-Luther-University Halle/Wittenberg, Halle, Germany
| | | | - Anne Steglich
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Florian Gembardt
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Friederike Kessel
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Hannah Kröger
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Patrick Arndt
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Jan Sradnick
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Kerstin Frank
- Institut für Transfusionsmedizin Plauen, DRK-Blutspendedienst Nord-Ost gemeinnützige GmbH, Plauen, Germany
| | - Anna Klimova
- National Center for Tumor Diseases (NCT) Partner Site Dresden, Dresden, Germany
| | - René Mauer
- Faculty of Medicine Carl Gustav Carus, Institute for Medical Informatics and Biometry (IMB), Technische Universität, Dresden, Germany
| | - Xina Grählert
- Coordinating Centre for Clinical Trials, Dresden, Germany
| | - Moritz Anft
- Center for Translational Medicine and Immune Diagnostics Laboratory, Medical Department I, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Germany
| | - Arturo Blazquez-Navarro
- Center for Translational Medicine and Immune Diagnostics Laboratory, Medical Department I, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Germany
| | - Timm H Westhoff
- Medical Department I, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Herne, Germany
| | - Ulrik Stervbo
- Center for Translational Medicine and Immune Diagnostics Laboratory, Medical Department I, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Germany
| | - Torsten Tonn
- Institute for Transfusion Medicine, German Red Cross Blood Donation Service North-East, Dresden, Germany
- Faculty of Medicine Carl Gustav Carus, Transfusion Medicine, Technische Universität, Dresden, Germany
| | - Nina Babel
- Center for Translational Medicine and Immune Diagnostics Laboratory, Medical Department I, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Germany
- Berlin-Brandenburg Center for Regenerative Therapies, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, and Institute of Medical Immunology, Germany
| | - Christian Hugo
- Medizinische Klinik und Poliklinik III, Universitätsklinikum, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- KfH-Nierenzentrum Dresden, Dresden, Germany
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Neumann M, Aigner A, Rossow E, Schwarz D, Marschallek M, Steinmann J, Stücker R, Koenigs I, Stock P. Low SARS-CoV-2 seroprevalence but high perception of risk among healthcare workers at children's hospital before second pandemic wave in Germany. World J Pediatr 2021; 17:484-494. [PMID: 34415560 PMCID: PMC8378295 DOI: 10.1007/s12519-021-00447-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 07/15/2021] [Indexed: 12/24/2022]
Abstract
BACKGROUND Healthcare workers are considered a particularly high-risk group during the coronavirus disease 2019 (COVID-19) pandemic. Healthcare workers in paediatrics are a unique subgroup: they come into frequent contact with children, who often experience few or no symptoms when infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and, therefore, may transmit the disease to unprotected staff. In Germany, no studies exist evaluating the risk of COVID-19 to healthcare workers in paediatric institutions. METHODS We tested the staff at a large children's hospital in Germany for immunoglobulin (Ig) G antibodies against the nucleocapsid protein of SARS-CoV-2 in a period between the first and second epidemic wave in Germany. We used a questionnaire to assess each individual's exposure risk and his/her own perception of having already been infected with SARS-CoV-2. RESULTS We recruited 619 participants from all sectors, clinical and non-clinical, constituting 70% of the entire staff. The seroprevalence of SARS-CoV-2 antibodies was 0.325% (95% confidence interval 0.039-1.168). Self-perceived risk of a previous SARS-CoV-2 infection decreased with age (odds ratio, 0.81; 95% confidence interval, 0.70-0.93). Having experienced symptoms more than doubled the odds of a high self-perceived risk (odds ratio, 2.18; 95% confidence interval, 1.59-3.00). There was no significant difference in self-perceived risk between men and women. CONCLUSIONS Seroprevalence was low among healthcare workers at a large children's hospital in Germany before the second epidemic wave, and it was far from a level that confers herd immunity. Self-perceived risk of infection is often overestimated.
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Affiliation(s)
- Marietta Neumann
- Department of Paediatrics, Altona Children's Hospital, Universität Hamburg, Altonaer Kinderkrankenhaus, Bleickenallee 38, 22763, Hamburg, Germany.
| | - Annette Aigner
- Corporate Member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Institute of Biometry and Clinical Epidemiology Berlin, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Eileen Rossow
- Department of Neonatology and Paediatric Intensive Care Medicine, Altona Children's Hospital, Hamburg, Germany
| | - David Schwarz
- Department of Paediatric Surgery, Altona Children's Hospital, Hamburg, Germany
- Department of Paediatric Surgery, University Medical Centre Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Maria Marschallek
- Department of Paediatrics, Altona Children's Hospital, Universität Hamburg, Altonaer Kinderkrankenhaus, Bleickenallee 38, 22763, Hamburg, Germany
| | - Jörg Steinmann
- Labor Dr. Fenner and Colleagues, Hamburg, Germany
- Department of Paediatrics, Altona Children's Hospital, Hamburg, Germany
| | - Ralf Stücker
- Department of Paediatric Orthopaedics, Altona Children's Hospital, Hamburg, Germany
| | - Ingo Koenigs
- Department of Paediatric Surgery, Altona Children's Hospital, Hamburg, Germany
- Department of Paediatric Surgery, University Medical Centre Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Philippe Stock
- Department of Paediatrics, Altona Children's Hospital, Universität Hamburg, Altonaer Kinderkrankenhaus, Bleickenallee 38, 22763, Hamburg, Germany
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Olbrich L, Castelletti N, Schälte Y, Garí M, Pütz P, Bakuli A, Pritsch M, Kroidl I, Saathoff E, Guggenbuehl Noller JM, Fingerle V, Le Gleut R, Gilberg L, Brand I, Falk P, Markgraf A, Deák F, Riess F, Diefenbach M, Eser T, Weinauer F, Martin S, Quenzel EM, Becker M, Durner J, Girl P, Müller K, Radon K, Fuchs C, Wölfel R, Hasenauer J, Hoelscher M, Wieser A, on behalf of the KoCo19-Study Group. Head-to-head evaluation of seven different seroassays including direct viral neutralisation in a representative cohort for SARS-CoV-2. J Gen Virol 2021; 102:001653. [PMID: 34623233 PMCID: PMC8604188 DOI: 10.1099/jgv.0.001653] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 07/20/2021] [Indexed: 12/21/2022] Open
Abstract
A number of seroassays are available for SARS-CoV-2 testing; yet, head-to-head evaluations of different testing principles are limited, especially using raw values rather than categorical data. In addition, identifying correlates of protection is of utmost importance, and comparisons of available testing systems with functional assays, such as direct viral neutralisation, are needed.We analysed 6658 samples consisting of true-positives (n=193), true-negatives (n=1091), and specimens of unknown status (n=5374). For primary testing, we used Euroimmun-Anti-SARS-CoV-2-ELISA-IgA/IgG and Roche-Elecsys-Anti-SARS-CoV-2. Subsequently virus-neutralisation, GeneScriptcPass, VIRAMED-SARS-CoV-2-ViraChip, and Mikrogen-recomLine-SARS-CoV-2-IgG were applied for confirmatory testing. Statistical modelling generated optimised assay cut-off thresholds. Sensitivity of Euroimmun-anti-S1-IgA was 64.8%, specificity 93.3% (manufacturer's cut-off); for Euroimmun-anti-S1-IgG, sensitivity was 77.2/79.8% (manufacturer's/optimised cut-offs), specificity 98.0/97.8%; Roche-anti-N sensitivity was 85.5/88.6%, specificity 99.8/99.7%. In true-positives, mean and median Euroimmun-anti-S1-IgA and -IgG titres decreased 30/90 days after RT-PCR-positivity, Roche-anti-N titres decreased significantly later. Virus-neutralisation was 80.6% sensitive, 100.0% specific (≥1:5 dilution). Neutralisation surrogate tests (GeneScriptcPass, Mikrogen-recomLine-RBD) were >94.9% sensitive and >98.1% specific. Optimised cut-offs improved test performances of several tests. Confirmatory testing with virus-neutralisation might be complemented with GeneScriptcPassTM or recomLine-RBD for certain applications. Head-to-head comparisons given here aim to contribute to the refinement of testing strategies for individual and public health use.
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Affiliation(s)
- Laura Olbrich
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany
- German Center for Infection Research (DZIF), Partner site Munich, Germany
| | - Noemi Castelletti
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany
- Institute of Radiation Medicine, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Yannik Schälte
- Institute of Computational Biology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Center for Mathematics, Technische Universität München, 85748 Garching, Germany
| | - Mercè Garí
- Institute of Computational Biology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Peter Pütz
- Institute of Computational Biology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Department of Business Administration and Economics, Bielefeld University, 33615 Bielefeld, Germany
| | - Abhishek Bakuli
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany
| | - Michael Pritsch
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany
| | - Inge Kroidl
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany
- German Center for Infection Research (DZIF), Partner site Munich, Germany
| | - Elmar Saathoff
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany
- German Center for Infection Research (DZIF), Partner site Munich, Germany
| | | | - Volker Fingerle
- German Center for Infection Research (DZIF), Partner site Munich, Germany
- Bavarian Health and Food Safety Authority (LGL), Germany
| | - Ronan Le Gleut
- Institute of Computational Biology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Core Facility Statistical Consulting, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Leonard Gilberg
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany
| | - Isabel Brand
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany
| | - Philine Falk
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany
| | - Alisa Markgraf
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany
| | - Flora Deák
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany
| | - Friedrich Riess
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany
| | - Max Diefenbach
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany
| | - Tabea Eser
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany
| | | | | | | | - Marc Becker
- Department of Conservative Dentistry and Periodontology, University Hospital, LMU Munich Ludwig-Maximilians-University of Munich, Goethestr. 70, 80336 Munich, Germany
- Laboratory Becker and colleagues, Führichstr. 70, 81671 München, Germany
| | - Jürgen Durner
- Department of Conservative Dentistry and Periodontology, University Hospital, LMU Munich Ludwig-Maximilians-University of Munich, Goethestr. 70, 80336 Munich, Germany
- Laboratory Becker and colleagues, Führichstr. 70, 81671 München, Germany
| | - Philipp Girl
- German Center for Infection Research (DZIF), Partner site Munich, Germany
- Bundeswehr Institute of Microbiology, 80937 Munich, Germany
| | - Katharina Müller
- German Center for Infection Research (DZIF), Partner site Munich, Germany
- Bundeswehr Institute of Microbiology, 80937 Munich, Germany
| | - Katja Radon
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, 80336 Munich, Germany
- Center for International Health (CIH), University Hospital, LMU Munich, 80336 Munich, Germany
- Comprehensive Pneumology Center (CPC) Munich, German Center for Lung Research (DZL), 80337 Munich, Germany
| | - Christiane Fuchs
- Institute of Computational Biology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Center for Mathematics, Technische Universität München, 85748 Garching, Germany
- Department of Business Administration and Economics, Bielefeld University, 33615 Bielefeld, Germany
- Core Facility Statistical Consulting, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Roman Wölfel
- German Center for Infection Research (DZIF), Partner site Munich, Germany
- Bundeswehr Institute of Microbiology, 80937 Munich, Germany
| | - Jan Hasenauer
- Institute of Computational Biology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Center for Mathematics, Technische Universität München, 85748 Garching, Germany
- Faculty of Mathematics and Natural Sciences, University of Bonn, 53113 Bonn, Germany
| | - Michael Hoelscher
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany
- German Center for Infection Research (DZIF), Partner site Munich, Germany
- Center for International Health (CIH), University Hospital, LMU Munich, 80336 Munich, Germany
| | - Andreas Wieser
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany
- German Center for Infection Research (DZIF), Partner site Munich, Germany
| | - on behalf of the KoCo19-Study Group
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany
- German Center for Infection Research (DZIF), Partner site Munich, Germany
- Institute of Radiation Medicine, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Institute of Computational Biology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Center for Mathematics, Technische Universität München, 85748 Garching, Germany
- Department of Business Administration and Economics, Bielefeld University, 33615 Bielefeld, Germany
- Bavarian Health and Food Safety Authority (LGL), Germany
- Core Facility Statistical Consulting, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- BRK-Blutspendedienst, 80336 Munich, Germany
- Department of Conservative Dentistry and Periodontology, University Hospital, LMU Munich Ludwig-Maximilians-University of Munich, Goethestr. 70, 80336 Munich, Germany
- Laboratory Becker and colleagues, Führichstr. 70, 81671 München, Germany
- Bundeswehr Institute of Microbiology, 80937 Munich, Germany
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, 80336 Munich, Germany
- Center for International Health (CIH), University Hospital, LMU Munich, 80336 Munich, Germany
- Comprehensive Pneumology Center (CPC) Munich, German Center for Lung Research (DZL), 80337 Munich, Germany
- Faculty of Mathematics and Natural Sciences, University of Bonn, 53113 Bonn, Germany
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Vu DL, Martinez-Murillo P, Pigny F, Vono M, Meyer B, Eberhardt CS, Lemeille S, Von Dach E, Blanchard-Rohner G, Eckerle I, Huttner A, Siegrist CA, Kaiser L, Didierlaurent AM. Longitudinal Analysis of Inflammatory Response to SARS-CoV-2 in the Upper Respiratory Tract Reveals an Association with Viral Load, Independent of Symptoms. J Clin Immunol 2021; 41:1723-1732. [PMID: 34581925 PMCID: PMC8476983 DOI: 10.1007/s10875-021-01134-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 09/05/2021] [Indexed: 12/23/2022]
Abstract
Background SARS-CoV-2 infection leads to high viral loads in the upper respiratory tract that may be determinant in virus dissemination. The extent of intranasal antiviral response in relation to symptoms is unknown. Understanding how local innate responses control virus is key in the development of therapeutic approaches. Methods SARS-CoV-2-infected patients were enrolled in an observational study conducted at the Geneva University Hospitals, Switzerland, investigating virological and immunological characteristics. Nasal wash and serum specimens from a subset of patients were collected to measure viral load, IgA specific for the S1 domain of the spike protein, and a cytokine panel at different time points after infection; cytokine levels were analyzed in relation to symptoms. Results Samples from 13 SARS-CoV-2-infected patients and six controls were analyzed. We found an increase in CXCL10 and IL-6, whose levels remained elevated for up to 3 weeks after symptom onset. SARS-CoV-2 infection also induced CCL2 and GM-CSF, suggesting local recruitment and activation of myeloid cells. Local cytokine levels correlated with viral load but not with serum cytokine levels, nor with specific symptoms, including anosmia. Some patients had S1-specific IgA in the nasal cavity while almost none had IgG. Conclusion The nasal epithelium is an active site of cytokine response against SARS-CoV-2 that can last more than 2 weeks; in this mild COVID-19 cohort, anosmia was not associated with increases in any locally produced cytokines. Supplementary Information The online version contains supplementary material available at 10.1007/s10875-021-01134-z.
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Affiliation(s)
- Diem-Lan Vu
- Division of Infectious Diseases, Geneva University Hospitals, Geneva, Switzerland.
- Laboratory of Virology, Division of Laboratory Medicine, Geneva University Hospitals, Geneva, Switzerland.
- University of Geneva Medical School, Geneva, Switzerland.
| | - Paola Martinez-Murillo
- Department of Pathology and Immunology, Faculty of Medicine, Center of Vaccinology, University of Geneva, Geneva, Switzerland
| | - Fiona Pigny
- Laboratory of Virology, Division of Laboratory Medicine, Geneva University Hospitals, Geneva, Switzerland
- University of Geneva Medical School, Geneva, Switzerland
| | - Maria Vono
- Department of Pathology and Immunology, Faculty of Medicine, Center of Vaccinology, University of Geneva, Geneva, Switzerland
| | - Benjamin Meyer
- Department of Pathology and Immunology, Faculty of Medicine, Center of Vaccinology, University of Geneva, Geneva, Switzerland
| | - Christiane S Eberhardt
- University of Geneva Medical School, Geneva, Switzerland
- Department of Pathology and Immunology, Faculty of Medicine, Center of Vaccinology, University of Geneva, Geneva, Switzerland
| | - Sylvain Lemeille
- Department of Pathology and Immunology, Faculty of Medicine, Center of Vaccinology, University of Geneva, Geneva, Switzerland
| | - Elodie Von Dach
- Division of Infectious Diseases, Geneva University Hospitals, Geneva, Switzerland
- University of Geneva Medical School, Geneva, Switzerland
| | - Géraldine Blanchard-Rohner
- Department of Pathology and Immunology, Faculty of Medicine, Center of Vaccinology, University of Geneva, Geneva, Switzerland
- Unit of Immunology and Vaccinology, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - Isabella Eckerle
- Division of Infectious Diseases, Geneva University Hospitals, Geneva, Switzerland
- Laboratory of Virology, Division of Laboratory Medicine, Geneva University Hospitals, Geneva, Switzerland
- Geneva Centre for Emerging Viral Diseases, Geneva University Hospitals, Geneva, Switzerland
- Department of Microbiology and Molecular Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Angela Huttner
- Division of Infectious Diseases, Geneva University Hospitals, Geneva, Switzerland
- University of Geneva Medical School, Geneva, Switzerland
- Department of Pathology and Immunology, Faculty of Medicine, Center of Vaccinology, University of Geneva, Geneva, Switzerland
| | - Claire-Anne Siegrist
- University of Geneva Medical School, Geneva, Switzerland
- Department of Pathology and Immunology, Faculty of Medicine, Center of Vaccinology, University of Geneva, Geneva, Switzerland
| | - Laurent Kaiser
- Division of Infectious Diseases, Geneva University Hospitals, Geneva, Switzerland
- Laboratory of Virology, Division of Laboratory Medicine, Geneva University Hospitals, Geneva, Switzerland
- University of Geneva Medical School, Geneva, Switzerland
- Geneva Centre for Emerging Viral Diseases, Geneva University Hospitals, Geneva, Switzerland
| | - Arnaud M Didierlaurent
- Department of Pathology and Immunology, Faculty of Medicine, Center of Vaccinology, University of Geneva, Geneva, Switzerland.
- Geneva Centre for Emerging Viral Diseases, Geneva University Hospitals, Geneva, Switzerland.
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