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1.
researchsquare; 2023.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-3006893.v1

ABSTRACT

With the outbreak of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), global researchers were confronted with major challenges. The German National Pandemic Cohort Network (NAPKON) was launched in fall 2020 to effectively leverage resources and bundle research activities in the fight against the Coronavirus Disease 2019 (COVID-19) pandemic. We analyzed the setup phase of NAPKON as an example of multicenter studies in Germany, highlighting challenges and optimization potentials in connecting 59 university and non-university study sites. We examined the ethics application process of 121 ethics submissions considering durations, annotations, and outcome. Study site activation and recruitment processes were investigated and related to the incidence of SARS-CoV-2 infections. For all initial ethics applications, median time to a positive ethics vote was less than two weeks and 30 of these study sites (65%) joined NAPKON within less than three weeks each. Electronic instead of postal ethics submission (9.5 days (Q1: 5.75, Q3: 17) vs. 14 days (Q1: 11, Q3: 26), p-value = 0.01) and adoption of the primary ethics vote significantly accelerated the ethics application process. Each study center enrolled a median of 37 patients during the 14-month observation period – with large differences depending on the health sector. We found a positive correlation between recruitment performance and COVID-19 incidence as well as hospitalization incidence. Our analysis highlighted challenges and chances of the federated system in Germany. Digital ethics application tools, adoption of a primary ethics vote and standardized formal requirements lead to harmonized and thus faster study initiation processes during a pandemic.


Subject(s)
COVID-19 , Severe Acute Respiratory Syndrome
2.
researchsquare; 2022.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-1249111.v1

ABSTRACT

The German government initiated the Network University Medicine (NUM) in early 2020 to improve national research activities on the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic. To this end, 36 German Academic Medical Centers started to collaborate on 13 projects, with the largest being the National Pandemic Cohort Network (NAPKON). The NAPKON’s goal is creating the most comprehensive Coronavirus Disease 2019 (COVID-19) cohort in Germany. Within NAPKON, adult and pediatric patients are observed in three complementary cohort platforms (Cross-Sectoral, High-Resolution and Population-Based) from the initial infection until up to three years of follow-up. Study procedures comprise comprehensive clinical and imaging diagnostics, quality-of-life assessment, patient-reported outcomes and biosampling. The three cohort platforms build on four infrastructure core units (Interaction, Biosampling, Epidemiology, and Integration) and collaborations with NUM projects. Key components of the data capture, regulatory, and data privacy are based on the German Centre for Cardiovascular Research. By December 01, 2021, 34 university and 34 non-university hospitals have enrolled 4,241 patients with local data quality reviews performed on 2,812 (66%). 47% were female, the median age was 53 (IQR: 38-63)) and 3 pediatric cases were included. 30% of patients were hospitalized, 11% admitted to an intensive care unit, and 4% of patients deceased while enrolled. 7,143 visits with biosampling in 3,595 patients were conducted by November 29, 2021. In this overview article, we summarize NAPKON’s design, relevant milestones including first study population characteristics, and outline the potential of NAPKON for German and international research activities.Trial registration:· https://clinicaltrials.gov/ct2/show/NCT04768998· https://clinicaltrials.gov/ct2/show/NCT04747366· https://clinicaltrials.gov/ct2/show/NCT04679584


Subject(s)
COVID-19
3.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.12.01.21266960

ABSTRACT

Background While SARS-CoV-2 vaccinations were successful in decreasing COVID-19 caseloads, recent increases in SARS-CoV-2 infections have led to questions about duration and quality of the subsequent immune response. While numerous studies have been published on immune responses triggered by vaccination, these often focused on the initial peak response generated in specific population subgroups (e.g. healthcare workers or immunocompromised individuals) and have often only examined the effects of one or two different immunisation schemes. Methods and Findings We analysed serum samples from participants of a large German seroprevalence study (MuSPAD) who had received all available vaccines and dose schedules (mRNA-1273, BNT162b2, AZD1222, Ad26.CoV2S.2 or a combination of AZD1222 plus either mRNA-1273 or BNT162b2). Antibody titers against various SARS-CoV-2 antigens and ACE2 binding inhibition against SARS-CoV-2 wild-type and the Alpha, Beta, Gamma and Delta variants of concern were analysed using a previously published multiplex immunoassay MULTICOV-AB and an ACE2-RBD competition assay. Among the different vaccines and their dosing regimens, homologous mRNA-based or heterologous prime-boost vaccination produced significantly higher antibody responses than vector-based homologous vaccination. Ad26.CoV2S.2 performance was significantly reduced, even compared to AZD1222, with 91.67% of samples being considered non-responsive forACE2 binding inhibition. mRNA-based vaccination induced a higher ratio of RBD- and S1-targeting antibodies than vector-based vaccination, which resulted in an increased proportion of S2-targeting antibodies. Previously infected individuals had a robust immune response once vaccinated, regardless of which vaccine they received. When examining antibody kinetics post-vaccination after homologous immunisation regimens, both titers and ACE2 binding inhibition peaked approximately 28 days post-vaccination and then decreased as time increased. Conclusions As one of the first and largest population-based studies to examine vaccine responses for all currently available immunisation schemes in Germany, we found that homologous mRNA or heterologous vaccination elicited the highest immune responses. The high percentage of non-responders for Ad26.CoV2.S requires further investigation and suggests that a booster dose with an mRNA-based vaccine may be necessary. The high responses seen in recovered and vaccinated individuals could aid future dose allocation, should shortages arise for certain manufacturers. Given the role of RBD- and S1-specific antibodies in neutralising SARS-CoV-2, their relative over-representation after mRNA vaccination may explain why mRNA vaccines have an increased efficacy compared to vector-based formulations. Further investigation on these differences will be of particular interest for vaccine development and efficacy, especially for the next-generation of vector-based vaccines.


Subject(s)
COVID-19 , Severe Acute Respiratory Syndrome
4.
Frauke Degenhardt; David Ellinghaus; Simonas Juzenas; Jon Lerga-Jaso; Mareike Wendorff; Douglas Maya-Miles; Florian Uellendahl-Werth; Hesham ElAbd; Malte C. Ruehlemann; Jatin Arora; Onur oezer; Ole Bernt Lenning; Ronny Myhre; May Sissel Vadla; Eike Matthias Wacker; Lars Wienbrandt; Aaron Blandino Ortiz; Adolfo de Salazar; Adolfo Garrido Chercoles; Adriana Palom; Agustin Ruiz; Alberto Mantovani; Alberto Zanella; Aleksander Rygh Holten; Alena Mayer; Alessandra Bandera; Alessandro Cherubini; Alessandro Protti; Alessio Aghemo; Alessio Gerussi; Alexander Popov; Alfredo Ramirez; Alice Braun; Almut Nebel; Ana Barreira; Ana Lleo; Ana Teles; Anders Benjamin Kildal; Andrea Biondi; Andrea Ganna; Andrea Gori; Andreas Glueck; Andreas Lind; Anke Hinney; Anna Carreras Nolla; Anna Ludovica Fracanzani; Annalisa Cavallero; Anne Ma Dyrhol-Riise; Antonella Ruello; Antonio Julia; Antonio Muscatello; Antonio Pesenti; Antonio Voza; Ariadna Rando-Segura; Aurora Solier; Beatriz Cortes; Beatriz Mateos; Beatriz Nafria-Jimenez; Benedikt Schaefer; Bjoern Jensen; Carla Bellinghausen; Carlo Maj; Carlos Ferrando; Carmen de la Horrra; Carmen Quereda; Carsten Skurk; Charlotte Thibeault; Chiara Scollo; Christian Herr; Christoph D. Spinner; Christoph Lange; Cinzia Hu; Clara Lehmann; Claudio Cappadona; Clinton Azuure; - COVICAT study group; - Covid-19 Aachen Study (COVAS); Cristiana Bianco; Cristina Sancho; Dag Arne Lihaug Hoff; Daniela Galimberti; Daniele Prati; David Haschka; David Jimenez; David Pestana; David Toapanta; Elena Azzolini; Elio Scarpini; Elisa T. Helbig; Eloisa Urrechaga; Elvezia Maria Paraboschi; Emanuele Pontali; Enric Reverter; Enrique J. Calderon; Enrique Navas; Erik Solligard; Ernesto Contro; Eunate Arana; Federico Garcia; Felix Garcia Sanchez; Ferruccio Ceriotti; Filippo Martinelli-Boneschi; Flora Peyvandi; Florian Kurth; Francesco Blasi; Francesco Malvestiti; Francisco J. Medrano; Francisco Mesonero; Francisco Rodriguez-Frias; Frank Hanses; Fredrik Mueller; Giacomo Bellani; Giacomo Grasselli; Gianni Pezzoli; Giorgio Costantino; Giovanni Albano; Giuseppe Bellelli; Giuseppe Citerio; Giuseppe Foti; Giuseppe Lamorte; Holger Neb; Ilaria My; Ingo Kurth; Isabel Hernandez; Isabell Pink; Itziar de Rojas; Ivan Galvan-Femenia; Jan C. Holter; Jan Egil Egil Afset; Jan Heyckendorf; Jan Damas; Jan Kristian Rybniker; Janine Altmueller; Javier Ampuero; Jesus M. Banales; Joan Ramon Badia; Joaquin Dopazo; Jochen Schneider; Jonas Bergan; Jordi Barretina; Joern Walter; Jose Hernandez Quero; Josune Goikoetxea; Juan Delgado; Juan M. Guerrero; Julia Fazaal; Julia Kraft; Julia Schroeder; Kari Risnes; Karina Banasik; Karl Erik Mueller; Karoline I. Gaede; Koldo Garcia-Etxebarria; Kristian Tonby; Lars Heggelund; Laura Izquierdo-Sanchez; Laura Rachele Bettini; Lauro Sumoy; Leif Erik Sander; Lena J. Lippert; Leonardo Terranova; Lindokuhle Nkambule; Lisa Knopp; Lise Tuset Gustad; Lucia Garbarino; Luigi Santoro; Luis Tellez; Luisa Roade; Mahnoosh Ostadreza; Maider Intxausti; Manolis Kogevinas; Mar Riveiro-Barciela; Marc M. Berger; Mari E.K. Niemi; Maria A. Gutierrez-Stampa; Maria Grazia Valsecchi; Maria Hernandez-Tejero; Maria J.G.T. Vehreschild; Maria Manunta; Mariella D'Angio; Marina Cazzaniga; Marit M. Grimsrud; Markus Cornberg; Markus M. Noethen; Marta Marquie; Massimo Castoldi; Mattia Cordioli; Maurizio Cecconi; Mauro D'Amato; Max Augustin; Melissa Tomasi; Merce Boada; Michael Dreher; Michael J. Seilmaier; Michael Joannidis; Michael Wittig; Michela Mazzocco; Miguel Rodriguez-Gandia; Natale Imaz Ayo; Natalia Blay; Natalia Chueca; Nicola Montano; Nicole Ludwig; Nikolaus Marx; Nilda Martinez; - Norwegian SARS-CoV-2 Study group; Oliver A. Cornely; Oliver Witzke; Orazio Palmieri; - Pa COVID-19 Study Group; Paola Faverio; Paolo Bonfanti; Paolo Tentorio; Pedro Castro; Pedro M. Rodrigues; Pedro Pablo Espana; Per Hoffmann; Philip Rosenstiel; Philipp Schommers; Phillip Suwalski; Raul de Pablo; Ricard Ferrer; Robert Bals; Roberta Gualtierotti; Rocio Gallego-Duran; Rosa Nieto; Rossana Carpani; Ruben Morilla; Salvatore Badalamenti; Sammra Haider; Sandra Ciesek; Sandra May; Sara Bombace; Sara Marsal; Sara Pigazzini; Sebastian Klein; Selina Rolker; Serena Pelusi; Sibylle Wilfling; Silvano Bosari; Soren Brunak; Soumya Raychaudhuri; Stefan Schreiber; Stefanie Heilmann-Heimbach; Stefano Aliberti; Stephan Ripke; Susanne Dudman; - The Humanitas COVID-19 Task Forse; - The Humanitas Gavazzeni COVID-19 Task Force; Thomas Bahmer; Thomas Eggermann; Thomas Illig; Thorsten Brenner; Torsten Feldt; Trine Folseraas; Trinidad Gonzalez Cejudo; Ulf Landmesser; Ulrike Protzer; Ute Hehr; Valeria Rimoldi; Vegard Skogen; Verena Keitel; Verena Kopfnagel; Vicente Friaza; Victor Andrade; Victor Moreno; Wolfgang Poller; Xavier Farre; Xiaomin Wang; Yascha Khodamoradi; Zehra Karadeniz; Anna Latiano; Siegfried Goerg; Petra Bacher; Philipp Koehler; Florian Tran; Heinz Zoller; Eva C. Schulte; Bettina Heidecker; Kerstin U. Ludwig; Javier Fernandez; Manuel Romero-Gomez; Agustin Albillos; Pietro Invernizzi; Maria Buti; Stefano Duga; Luis Bujanda; Johannes R. Hov; Tobias L. Lenz; Rosanna Asselta; Rafael de Cid; Luca Valenti; Tom H. Karlsen; Mario Caceres; Andre Franke.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.07.21.21260624

ABSTRACT

Due to the highly variable clinical phenotype of Coronavirus disease 2019 (COVID-19), deepening the host genetic contribution to severe COVID-19 may further improve our understanding about underlying disease mechanisms. Here, we describe an extended GWAS meta-analysis of 3,260 COVID-19 patients with respiratory failure and 12,483 population controls from Italy, Spain, Norway and Germany, as well as hypothesis-driven targeted analysis of the human leukocyte antigen (HLA) region and chromosome Y haplotypes. We include detailed stratified analyses based on age, sex and disease severity. In addition to already established risk loci, our data identify and replicate two genome-wide significant loci at 17q21.31 and 19q13.33 associated with severe COVID-19 with respiratory failure. These associations implicate a highly pleiotropic ~0.9-Mb 17q21.31 inversion polymorphism, which affects lung function and immune and blood cell counts, and the NAPSA gene, involved in lung surfactant protein production, in COVID-19 pathogenesis.


Subject(s)
COVID-19 , Respiratory Insufficiency
5.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.05.04.21256597

ABSTRACT

Prevalence of SARS-CoV-2 antibodies is an essential indicator to guide measures. Few population-based estimates are available in Germany. We determine seroprevalence allowing comparison between regions, time points, socio-demographic and health-related factors. MuSPAD is a sequential multi-local seroprevalence study. We randomly recruited adults in five counties with differing cumulative SARS-CoV-2 incidence July 2020 - February 2021. Serostatus was determined using Spike S1-specific IgG ELISA. We determined county-wise proportions of seropositivity. We assessed underestimation of infections, county and age specific infection fatality risks, and association of seropositivity with demographic, socioeconomic and health factors. We found seroprevalence of 2.4 % (95%CI: 1.8-3.1%) for Reutlingen in June 2020 (stage 1) which increased to 2.9% (95%CI: 2.1-3.8%) in October (stage 2), Freiburg stage 1 1.5% (95% CI: 1.1-2.1%) vs. 2.5% (95%CI: 1.8-3.4%), Aachen stage 1 2.3% (95% CI: 1.7-3.1%) vs. 5.4% (95%CI: 4.4-6.6%), Osnabrück 1.3% (95% CI: 1.0-1.9%) and Magdeburg in Nov/Dec 2020. 2.4% (95%CI 1.9-3.1%). Number needed to quarantine to have one infected person quarantined was 8.2. The surveillance detection ratio (SDR) between number of infections based on our results and number reported to health authorities ranged from 2.5-4.5. Participants aged 80+ had lower SDR. Infection fatality estimates ranged from 0.2-2.4%. Lower education was associated with higher, smoking with lower seropositivity. Seroprevalence remained low until December 2020 with high underdetection. The second wave from November 2020 to February 2021 resulted in additional 2-5% of the population being infected. Detected age specific differences of SDR should be taken into account in modelling and forecasting COVID-19 morbidity. Highlights Evidence before this study Seroepidemiological surveys on SARS-CoV-2 are a useful tool to track the transmission during the epidemic. We searched PubMed/the pre-print server medRxiv and included web-based reports from German health organizations using the keywords “seroprevalence”, “SARS-CoV-2”, “Germany” and similar other English and German terms in the period from January 1st, 2020 until March 2021. We identified 30 published studies in Germany which mostly report low SARS-CoV-2 seroprevalence (<5%). Most of these surveys were so-called hotspot studies which assessed seroprevalence after localized outbreaks or examined seroprevalence of specific population groups such as e.g. medical staff. Few studies are either population-based or blood donor-based, but do not allow comparisons between regions. To date, we only consider the Corona sub-study of the Rhineland study similar to MuSPAD. It reports a low SARS-CoV-2 seroprevalence (46/4755; 0.97%; 95% CI: 0.72−1.30). Based on this, almost the entire German population remained susceptible to a SARS-CoV-2 infection by the end of 2020. Added value of this study We provide the first comprehensive, high-precision multi-region population-based SARS-CoV-2 seroprevalence study with representative sampling following the WHO protocol in Germany. By measuring SARS-CoV-2 IgG, we explore immunity at regional and national level over time. We also assess risk factors and sample each region twice, which permits to monitor seroprevalence progression throughout the epidemic in different exemplary German regions. Implications of all the available evidence Our results show low seroprevalence (<3%) until Mid-December 2020 in all regions. While estimates in Reutlingen, Aachen, Freiburg and Osnabrück reflect low seroprevalence mostly after the first wave, the survey in Magdeburg cumulatively already represents the beginning of the second wave. The number needed to quarantine to ensure one infected person was quarantined was 8.2 in our study. We also show that for the first wave reported infections reflected overall around 25% of those actually infected rising to 40-50% in the second wave. A slightly raised infection risk could be shown for persons with lower education.


Subject(s)
COVID-19
6.
researchsquare; 2020.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-129664.v1

ABSTRACT

The SARS-CoV-2 coronavirus has led to a pandemic with millions of people affected. The present study finds prostaglandin E2 (PGE2) blood levels elevated in COVID-19 patients with positive correlation with disease severity. SARS-CoV-2 induces PGE2 generation and secretion in infected lung epithelial cells by upregulating cyclo-oxygenase (COX)-2 and reducing the PG-degrading enzyme 15-hydroxyprostaglandin-dehydrogenase. Also living human-lung-precision-slices infected with SARS-CoV-2 display upregulated COX-2. PGE2 in serum of COVID-19 patients lowers the expression of Paired-Box-Protein-Pax-5 (PAX5), a master regulator of B-cell survival, proliferation and differentiation, in both human and mouse pre-B-cells, while the PGE2 inhibitor taxifolin directly reduces SARS-CoV-2-induced PGE2 production and attenuates viral replication. Risk-factors for severe disease courses, i.e. older age, male sex and air pollution are associated with higher PGE2 production and lower PAX5 expression in pre-B-cells. Since PGE2 acts broadly immunosuppressive its elevation might reduce the early anti-viral defense and its inhibition may therefore reduce severe disease courses.


Subject(s)
COVID-19 , Lung Diseases
7.
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.07.17.20156000

ABSTRACT

Given the importance of the humoral immune response to SARS-CoV-2 as a global benchmark for immunity, a detailed analysis is needed to (i) monitor seroconversion in the general population, (ii) understand manifestation and progression of the disease, and (iii) predict the outcome of vaccine development. Currently available serological assays utilize single analyte technologies such as ELISA to measure antibodies against SARS-CoV-2 antigens including spike (S) or nucleocapsid (N) protein. To measure individual antibody (IgG and IgA) responses against SARS-CoV-2 and the endemic human coronaviruses (hCoVs) NL63, 229E, OC43, and HKU1, we developed a multiplexed immunoassay (CoVi-plex), for which we included S and N proteins of these coronaviruses in an expanded antigen panel. Compared to commercial in vitro diagnostic (IVD) tests our CoVi-plex achieved the highest sensitivity and specificity when analyzing 310 SARS-CoV-2 infected and 866 uninfected individuals. Simultaneously we see high IgG responses against hCoVs throughout all samples, whereas no consistent cross reactive IgG response patterns can be defined. In summary, our CoVi-plex is highly suited to monitor vaccination studies and will facilitate epidemiologic screenings for the humoral immunity toward pandemic as well as endemic coronaviruses.


Subject(s)
Severe Acute Respiratory Syndrome
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