1
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Stern D, Meyer TC, Treindl F, Mages HW, Krüger M, Skiba M, Krüger JP, Zobel CM, Schreiner M, Grossegesse M, Rinner T, Peine C, Stoliaroff-Pépin A, Harder T, Hofmann N, Michel J, Nitsche A, Stahlberg S, Kneuer A, Sandoni A, Kubisch U, Schlaud M, Mankertz A, Schwarz T, Corman VM, Müller MA, Drosten C, de la Rosa K, Schaade L, Dorner MB, Dorner BG. A bead-based multiplex assay covering all coronaviruses pathogenic for humans for sensitive and specific surveillance of SARS-CoV-2 humoral immunity. Sci Rep 2023; 13:21846. [PMID: 38071261 PMCID: PMC10710470 DOI: 10.1038/s41598-023-48581-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 11/28/2023] [Indexed: 12/18/2023] Open
Abstract
Serological assays measuring antibodies against SARS-CoV-2 are key to describe the epidemiology, pathobiology or induction of immunity after infection or vaccination. Of those, multiplex assays targeting multiple antigens are especially helpful as closely related coronaviruses or other antigens can be analysed simultaneously from small sample volumes, hereby shedding light on patterns in the immune response that would otherwise remain undetected. We established a bead-based 17-plex assay detecting antibodies targeting antigens from all coronaviruses pathogenic for humans: SARS-CoV-2, SARS-CoV, MERS-CoV, HCoV strains 229E, OC43, HKU1, and NL63. The assay was validated against five commercial serological immunoassays, a commercial surrogate virus neutralisation test, and a virus neutralisation assay, all targeting SARS-CoV-2. It was found to be highly versatile as shown by antibody detection from both serum and dried blot spots and as shown in three case studies. First, we followed seroconversion for all four endemic HCoV strains and SARS-CoV-2 in an outbreak study in day-care centres for children. Second, we were able to link a more severe clinical course to a stronger IgG response with this 17-plex-assay, which was IgG1 and IgG3 dominated. Finally, our assay was able to discriminate recent from previous SARS-CoV-2 infections by calculating the IgG/IgM ratio on the N antigen targeting antibodies. In conclusion, due to the comprehensive method comparison, thorough validation, and the proven versatility, our multiplex assay is a valuable tool for studies on coronavirus serology.
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Affiliation(s)
- Daniel Stern
- Biological Toxins (ZBS 3), Centre for Biological Threats and Special Pathogens, Robert Koch Institute, 13353, Berlin, Germany.
| | - Tanja C Meyer
- Biological Toxins (ZBS 3), Centre for Biological Threats and Special Pathogens, Robert Koch Institute, 13353, Berlin, Germany
| | - Fridolin Treindl
- Biological Toxins (ZBS 3), Centre for Biological Threats and Special Pathogens, Robert Koch Institute, 13353, Berlin, Germany
| | - Hans Werner Mages
- Biological Toxins (ZBS 3), Centre for Biological Threats and Special Pathogens, Robert Koch Institute, 13353, Berlin, Germany
| | - Maren Krüger
- Biological Toxins (ZBS 3), Centre for Biological Threats and Special Pathogens, Robert Koch Institute, 13353, Berlin, Germany
| | - Martin Skiba
- Biological Toxins (ZBS 3), Centre for Biological Threats and Special Pathogens, Robert Koch Institute, 13353, Berlin, Germany
| | - Jan Philipp Krüger
- Department of Microbiology and Hospital Hygiene, Bundeswehr Hospital Berlin, Berlin, Germany
| | - Christian M Zobel
- Department of Internal Medicine, Bundeswehr Hospital Berlin, Berlin, Germany
| | | | - Marica Grossegesse
- Highly Pathogenic Viruses (ZBS 1), Centre for Biological Threats and Special Pathogens, Robert Koch Institute, 13353, Berlin, Germany
| | - Thomas Rinner
- Highly Pathogenic Viruses (ZBS 1), Centre for Biological Threats and Special Pathogens, Robert Koch Institute, 13353, Berlin, Germany
| | - Caroline Peine
- Immunization Unit (FG 33), Department for Infectious Disease Epidemiology, Robert Koch Institute, 13353, Berlin, Germany
| | - Anna Stoliaroff-Pépin
- Immunization Unit (FG 33), Department for Infectious Disease Epidemiology, Robert Koch Institute, 13353, Berlin, Germany
| | - Thomas Harder
- Immunization Unit (FG 33), Department for Infectious Disease Epidemiology, Robert Koch Institute, 13353, Berlin, Germany
| | - Natalie Hofmann
- Highly Pathogenic Viruses (ZBS 1), Centre for Biological Threats and Special Pathogens, Robert Koch Institute, 13353, Berlin, Germany
| | - Janine Michel
- Highly Pathogenic Viruses (ZBS 1), Centre for Biological Threats and Special Pathogens, Robert Koch Institute, 13353, Berlin, Germany
| | - Andreas Nitsche
- Highly Pathogenic Viruses (ZBS 1), Centre for Biological Threats and Special Pathogens, Robert Koch Institute, 13353, Berlin, Germany
| | - Silke Stahlberg
- Central Epidemiological Laboratory (FG 22), Department of Epidemiology and Health Monitoring, Robert Koch Institute, 12101, Berlin, Germany
| | - Antje Kneuer
- Central Epidemiological Laboratory (FG 22), Department of Epidemiology and Health Monitoring, Robert Koch Institute, 12101, Berlin, Germany
| | - Anna Sandoni
- Central Epidemiological Laboratory (FG 22), Department of Epidemiology and Health Monitoring, Robert Koch Institute, 12101, Berlin, Germany
| | - Ulrike Kubisch
- Central Epidemiological Laboratory (FG 22), Department of Epidemiology and Health Monitoring, Robert Koch Institute, 12101, Berlin, Germany
| | - Martin Schlaud
- Central Epidemiological Laboratory (FG 22), Department of Epidemiology and Health Monitoring, Robert Koch Institute, 12101, Berlin, Germany
| | - Annette Mankertz
- Measles, Mumps, Rubella, and Viruses Affecting Immunocompromised Patients (FG 12), Robert Koch Institute, 13353, Berlin, Germany
| | - Tatjana Schwarz
- Institute of Virology, Charité-Universitätsmedizin Berlin, 10117, Berlin, Germany
| | - Victor M Corman
- Institute of Virology, Charité-Universitätsmedizin Berlin, 10117, Berlin, Germany
- Corporate Member, Freie Universität Berlin, 10117, Berlin, Germany
- Corporate Member, Humboldt-Universität zu Berlin, 14195, Berlin, Germany
| | - Marcel A Müller
- Institute of Virology, Charité-Universitätsmedizin Berlin, 10117, Berlin, Germany
| | - Christian Drosten
- Institute of Virology, Charité-Universitätsmedizin Berlin, 10117, Berlin, Germany
| | - Kathrin de la Rosa
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), 13125, Berlin, Germany
- Berlin Institute of Health (BIH), Charité-Universitätsmedizin Berlin, 10117, Berlin, Germany
| | - Lars Schaade
- Centre for Biological Threats and Special Pathogens, Robert Koch Institute, 13353, Berlin, Germany
| | - Martin B Dorner
- Biological Toxins (ZBS 3), Centre for Biological Threats and Special Pathogens, Robert Koch Institute, 13353, Berlin, Germany
| | - Brigitte G Dorner
- Biological Toxins (ZBS 3), Centre for Biological Threats and Special Pathogens, Robert Koch Institute, 13353, Berlin, Germany.
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2
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Peterhoff D, Wiegrebe S, Einhauser S, Patt AJ, Beileke S, Günther F, Steininger P, Niller HH, Burkhardt R, Küchenhoff H, Gefeller O, Überla K, Heid IM, Wagner R. Population-based study of the durability of humoral immunity after SARS-CoV-2 infection. Front Immunol 2023; 14:1242536. [PMID: 37868969 PMCID: PMC10585261 DOI: 10.3389/fimmu.2023.1242536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 09/19/2023] [Indexed: 10/24/2023] Open
Abstract
SARS-CoV-2 antibody quantity and quality are key markers of humoral immunity. However, there is substantial uncertainty about their durability. We investigated levels and temporal change of SARS-CoV-2 antibody quantity and quality. We analyzed sera (8 binding, 4 avidity assays for spike-(S-)protein and nucleocapsid-(N-)protein; neutralization) from 211 seropositive unvaccinated participants, from the population-based longitudinal TiKoCo study, at three time points within one year after infection with the ancestral SARS-CoV-2 virus. We found a significant decline of neutralization titers and binding antibody levels in most assays (linear mixed regression model, p<0.01). S-specific serum avidity increased markedly over time, in contrast to N-specific. Binding antibody levels were higher in older versus younger participants - a difference that disappeared for the asymptomatic-infected. We found stronger antibody decline in men versus women and lower binding and avidity levels in current versus never-smokers. Our comprehensive longitudinal analyses across 13 antibody assays suggest decreased neutralization-based protection and prolonged affinity maturation within one year after infection.
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Affiliation(s)
- David Peterhoff
- Institute of Medical Microbiology and Hygiene, Molecular Microbiology (Virology), University of Regensburg, Regensburg, Germany
- Institute of Clinical Microbiology and Hygiene, University Hospital Regensburg, Regensburg, Germany
| | - Simon Wiegrebe
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
- Statistical Consulting Unit StaBLab, Department of Statistics, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Sebastian Einhauser
- Institute of Medical Microbiology and Hygiene, Molecular Microbiology (Virology), University of Regensburg, Regensburg, Germany
| | - Arisha J. Patt
- Institute of Clinical Microbiology and Hygiene, University Hospital Regensburg, Regensburg, Germany
| | - Stephanie Beileke
- Institute of Clinical and Molecular Virology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Felix Günther
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
- Statistical Consulting Unit StaBLab, Department of Statistics, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Philipp Steininger
- Institute of Clinical and Molecular Virology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Hans H. Niller
- Institute of Medical Microbiology and Hygiene, Molecular Microbiology (Virology), University of Regensburg, Regensburg, Germany
| | - Ralph Burkhardt
- Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Regensburg, Regensburg, Germany
| | - Helmut Küchenhoff
- Statistical Consulting Unit StaBLab, Department of Statistics, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Olaf Gefeller
- Department of Medical Informatics, Biometry and Epidemiology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Klaus Überla
- Institute of Clinical and Molecular Virology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Iris M. Heid
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Ralf Wagner
- Institute of Medical Microbiology and Hygiene, Molecular Microbiology (Virology), University of Regensburg, Regensburg, Germany
- Institute of Clinical Microbiology and Hygiene, University Hospital Regensburg, Regensburg, Germany
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3
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Owusu-Boaitey N, Russell TW, Meyerowitz-Katz G, Levin AT, Herrera-Esposito D. Dynamics of SARS-CoV-2 seroassay sensitivity: a systematic review and modelling study. Euro Surveill 2023; 28:2200809. [PMID: 37227301 PMCID: PMC10283460 DOI: 10.2807/1560-7917.es.2023.28.21.2200809] [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: 10/10/2022] [Accepted: 03/10/2023] [Indexed: 05/26/2023] Open
Abstract
BackgroundSerological surveys have been the gold standard to estimate numbers of SARS-CoV-2 infections, the dynamics of the epidemic, and disease severity. Serological assays have decaying sensitivity with time that can bias their results, but there is a lack of guidelines to account for this phenomenon for SARS-CoV-2.AimOur goal was to assess the sensitivity decay of seroassays for detecting SARS-CoV-2 infections, the dependence of this decay on assay characteristics, and to provide a simple method to correct for this phenomenon.MethodsWe performed a systematic review and meta-analysis of SARS-CoV-2 serology studies. We included studies testing previously diagnosed, unvaccinated individuals, and excluded studies of cohorts highly unrepresentative of the general population (e.g. hospitalised patients).ResultsOf the 488 screened studies, 76 studies reporting on 50 different seroassays were included in the analysis. Sensitivity decay depended strongly on the antigen and the analytic technique used by the assay, with average sensitivities ranging between 26% and 98% at 6 months after infection, depending on assay characteristics. We found that a third of the included assays departed considerably from manufacturer specifications after 6 months.ConclusionsSeroassay sensitivity decay depends on assay characteristics, and for some types of assays, it can make manufacturer specifications highly unreliable. We provide a tool to correct for this phenomenon and to assess the risk of decay for a given assay. Our analysis can guide the design and interpretation of serosurveys for SARS-CoV-2 and other pathogens and quantify systematic biases in the existing serology literature.
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Affiliation(s)
- Nana Owusu-Boaitey
- Case Western Reserve University School of Medicine, Cleveland, United States
- These authors contributed equally to this work
| | - Timothy W Russell
- Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | | | - Andrew T Levin
- Dartmouth College, Hanover, United States
- National Bureau for Economic Research, Cambridge, United States
- Centre for Economic Policy Research, London, United Kingdom
| | - Daniel Herrera-Esposito
- These authors contributed equally to this work
- Department of Psychology, University of Pennsylvania, Philadelphia, United States
- Laboratorio de Neurociencias, Universidad de la República, Montevideo, Uruguay
- Centro Interdisciplinario en Ciencia de Datos y Aprendizaje Automático, Universidad de la República, Montevideo, Uruguay
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4
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Alexopoulos H, Trougakos IP, Dimopoulos MA, Terpos E. Clinical usefulness of testing for severe acute respiratory syndrome coronavirus 2 antibodies. Eur J Intern Med 2023; 107:7-16. [PMID: 36379820 PMCID: PMC9647045 DOI: 10.1016/j.ejim.2022.11.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 10/11/2022] [Accepted: 11/08/2022] [Indexed: 11/11/2022]
Abstract
In the COVID-19 pandemic era, antibody testing against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has proven an invaluable tool and herein we highlight some of the most useful clinical and/or epidemiological applications of humoral immune responses recording. Anti-spike circulating IgGs and SARS-CoV-2 neutralizing antibodies can serve as predictors of disease progression or disease prevention, whereas anti-nucleocapsid antibodies can help distinguishing infection from vaccination. Also, in the era of immunotherapies we address the validity of anti-SARS-CoV-2 antibody monitoring post-infection and/or vaccination following therapies with the popular anti-CD20 monoclonals, as well as in the context of various cancers or autoimmune conditions such as rheumatoid arthritis and multiple sclerosis. Additional crucial applications include population immunosurveillance, either at the general population or at specific communities such as health workers. Finally, we discuss how testing of antibodies in cerebrospinal fluid can inform us on the neurological complications that often accompany COVID-19.
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Affiliation(s)
- Harry Alexopoulos
- Department of Cell Biology and Biophysics, Faculty of Biology, National and Kapodistrian University of Athens, Athens, 15784, Greece
| | - Ioannis P Trougakos
- Department of Cell Biology and Biophysics, Faculty of Biology, National and Kapodistrian University of Athens, Athens, 15784, Greece
| | - Meletios-Athanasios Dimopoulos
- Department of Clinical Therapeutics, School of Medicine, Alexandra General Hospital, National and Kapodistrian University of Athens, Athens, 11528, Greece
| | - Evangelos Terpos
- Department of Clinical Therapeutics, School of Medicine, Alexandra General Hospital, National and Kapodistrian University of Athens, Athens, 11528, Greece.
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5
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Einhauser S, Peterhoff D, Beileke S, Günther F, Niller HH, Steininger P, Knöll A, Korn K, Berr M, Schütz A, Wiegrebe S, Stark KJ, Gessner A, Burkhardt R, Kabesch M, Schedl H, Küchenhoff H, Pfahlberg AB, Heid IM, Gefeller O, Überla K, Wagner R. Time Trend in SARS-CoV-2 Seropositivity, Surveillance Detection- and Infection Fatality Ratio until Spring 2021 in the Tirschenreuth County-Results from a Population-Based Longitudinal Study in Germany. Viruses 2022; 14:v14061168. [PMID: 35746640 PMCID: PMC9228731 DOI: 10.3390/v14061168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 05/20/2022] [Accepted: 05/24/2022] [Indexed: 12/02/2022] Open
Abstract
Herein, we provide results from a prospective population-based longitudinal follow-up (FU) SARS-CoV-2 serosurveillance study in Tirschenreuth, the county which was hit hardest in Germany in spring 2020 and early 2021. Of 4203 individuals aged 14 years or older enrolled at baseline (BL, June 2020), 3546 participated at FU1 (November 2020) and 3391 at FU2 (April 2021). Key metrics comprising standardized seroprevalence, surveillance detection ratio (SDR), infection fatality ratio (IFR) and success of the vaccination campaign were derived using the Roche N- and S-Elecsys anti-SARS-CoV-2 test together with a self-administered questionnaire. N-seropositivity at BL was 9.2% (1st wave). While we observed a low new seropositivity between BL and FU1 (0.9%), the combined 2nd and 3rd wave accounted for 6.1% new N-seropositives between FU1 and FU2 (ever seropositives at FU2: 15.4%). The SDR decreased from 5.4 (BL) to 1.1 (FU2) highlighting the success of massively increased testing in the population. The IFR based on a combination of serology and registration data resulted in 3.3% between November 2020 and April 2021 compared to 2.3% until June 2020. Although IFRs were consistently higher at FU2 compared to BL across age-groups, highest among individuals aged 70+ (18.3% versus 10.7%, respectively), observed differences were within statistical uncertainty bounds. While municipalities with senior care homes showed a higher IFR at BL (3.0% with senior care home vs. 0.7% w/o), this effect diminished at FU2 (3.4% vs. 2.9%). In April 2021 (FU2), vaccination rate in the elderly was high (>77.4%, age-group 80+).
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Affiliation(s)
- Sebastian Einhauser
- Institute of Medical Microbiology and Hygiene, Molecular Microbiology (Virology), University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany; (S.E.); (D.P.); (H.-H.N.); (M.B.); (A.S.); (A.G.)
| | - David Peterhoff
- Institute of Medical Microbiology and Hygiene, Molecular Microbiology (Virology), University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany; (S.E.); (D.P.); (H.-H.N.); (M.B.); (A.S.); (A.G.)
- Institute of Clinical Microbiology and Hygiene, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany
| | - Stephanie Beileke
- Institute of Clinical and Molecular Virology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Schlossgarten 4, 91054 Erlangen, Germany; (S.B.); (P.S.); (A.K.); (K.K.)
| | - Felix Günther
- Department of Mathematics, Stockholm University, Kräftriket 6, 106 91 Stockholm, Sweden;
- Department of Genetic Epidemiology, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany; (S.W.); (K.J.S.); (I.M.H.)
| | - Hans-Helmut Niller
- Institute of Medical Microbiology and Hygiene, Molecular Microbiology (Virology), University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany; (S.E.); (D.P.); (H.-H.N.); (M.B.); (A.S.); (A.G.)
| | - Philipp Steininger
- Institute of Clinical and Molecular Virology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Schlossgarten 4, 91054 Erlangen, Germany; (S.B.); (P.S.); (A.K.); (K.K.)
| | - Antje Knöll
- Institute of Clinical and Molecular Virology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Schlossgarten 4, 91054 Erlangen, Germany; (S.B.); (P.S.); (A.K.); (K.K.)
| | - Klaus Korn
- Institute of Clinical and Molecular Virology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Schlossgarten 4, 91054 Erlangen, Germany; (S.B.); (P.S.); (A.K.); (K.K.)
| | - Melanie Berr
- Institute of Medical Microbiology and Hygiene, Molecular Microbiology (Virology), University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany; (S.E.); (D.P.); (H.-H.N.); (M.B.); (A.S.); (A.G.)
| | - Anja Schütz
- Institute of Medical Microbiology and Hygiene, Molecular Microbiology (Virology), University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany; (S.E.); (D.P.); (H.-H.N.); (M.B.); (A.S.); (A.G.)
| | - Simon Wiegrebe
- Department of Genetic Epidemiology, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany; (S.W.); (K.J.S.); (I.M.H.)
| | - Klaus J. Stark
- Department of Genetic Epidemiology, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany; (S.W.); (K.J.S.); (I.M.H.)
| | - André Gessner
- Institute of Medical Microbiology and Hygiene, Molecular Microbiology (Virology), University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany; (S.E.); (D.P.); (H.-H.N.); (M.B.); (A.S.); (A.G.)
- Institute of Clinical Microbiology and Hygiene, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany
| | - Ralph Burkhardt
- Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany;
| | - Michael Kabesch
- University Children’s Hospital Regensburg (KUNO) at the Hospital St. Hedwig of the Order of St. John, University of Regensburg, Steinmetzstraße 1-3, 93049 Regensburg, Germany;
| | - Holger Schedl
- Bayerisches Rotes Kreuz, Kreisverband Tirschenreuth, Egerstraße 21, 95643 Tirschenreuth, Germany;
| | - Helmut Küchenhoff
- Statistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, Geschwister-Scholl-Platz 1, 80539 Munich, Germany;
| | - Annette B. Pfahlberg
- Department of Medical Informatics, Biometry and Epidemiology, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Waldstr. 6, 91054 Erlangen, Germany; (A.B.P.); (O.G.)
| | - Iris M. Heid
- Department of Genetic Epidemiology, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany; (S.W.); (K.J.S.); (I.M.H.)
| | - Olaf Gefeller
- Department of Medical Informatics, Biometry and Epidemiology, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Waldstr. 6, 91054 Erlangen, Germany; (A.B.P.); (O.G.)
| | - Klaus Überla
- Institute of Clinical and Molecular Virology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Schlossgarten 4, 91054 Erlangen, Germany; (S.B.); (P.S.); (A.K.); (K.K.)
- Correspondence: (K.Ü.); (R.W.); Tel.: +49-9131-85-23563 (K.Ü.); +49-941-944-6452 (R.W.)
| | - Ralf Wagner
- Institute of Medical Microbiology and Hygiene, Molecular Microbiology (Virology), University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany; (S.E.); (D.P.); (H.-H.N.); (M.B.); (A.S.); (A.G.)
- Institute of Clinical Microbiology and Hygiene, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany
- Correspondence: (K.Ü.); (R.W.); Tel.: +49-9131-85-23563 (K.Ü.); +49-941-944-6452 (R.W.)
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