1
|
Wang J, Sun N, Kunzke T, Shen J, Feuchtinger A, Wang Q, Meixner R, Gleut RL, Haffner I, Luber B, Lordick F, Walch A. Metabolic heterogeneity affects trastuzumab response and survival in HER2-positive advanced gastric cancer. Br J Cancer 2024; 130:1036-1045. [PMID: 38267634 PMCID: PMC10951255 DOI: 10.1038/s41416-023-02559-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 12/06/2023] [Accepted: 12/14/2023] [Indexed: 01/26/2024] Open
Abstract
BACKGROUND Trastuzumab is the only first-line treatment targeted against the human epidermal growth factor receptor 2 (HER2) approved for patients with HER2-positive advanced gastric cancer. The impact of metabolic heterogeneity on trastuzumab treatment efficacy remains unclear. METHODS Spatial metabolomics via high mass resolution imaging mass spectrometry was performed in pretherapeutic biopsies of patients with HER2-positive advanced gastric cancer in a prospective multicentre observational study. The mass spectra, representing the metabolic heterogeneity within tumour areas, were grouped by K-means clustering algorithm. Simpson's diversity index was applied to compare the metabolic heterogeneity level of individual patients. RESULTS Clustering analysis revealed metabolic heterogeneity in HER2-positive gastric cancer patients and uncovered nine tumour subpopulations. High metabolic heterogeneity was shown as a factor indicating sensitivity to trastuzumab (p = 0.008) and favourable prognosis at trend level. Two of the nine tumour subpopulations associated with favourable prognosis and trastuzumab sensitivity, and one subpopulation associated with poor prognosis and trastuzumab resistance. CONCLUSIONS This work revealed that tumour metabolic heterogeneity associated with prognosis and trastuzumab response based on tissue metabolomics of HER2-positive gastric cancer. Tumour metabolic subpopulations may provide an association with trastuzumab therapy efficacy. CLINICAL TRIAL REGISTRATION The patient cohort was conducted from a multicentre observational study (VARIANZ;NCT02305043).
Collapse
Affiliation(s)
- Jun Wang
- Research Unit Analytical Pathology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Na Sun
- Research Unit Analytical Pathology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Thomas Kunzke
- Research Unit Analytical Pathology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Jian Shen
- Research Unit Analytical Pathology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Annette Feuchtinger
- Research Unit Analytical Pathology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Qian Wang
- Research Unit Analytical Pathology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Raphael Meixner
- Core Facility Statistical Consulting, Helmholtz Zentrum München, 85764, Neuherberg, Germany
| | - Ronan Le Gleut
- Core Facility Statistical Consulting, Helmholtz Zentrum München, 85764, Neuherberg, Germany
| | - Ivonne Haffner
- University Cancer Center Leipzig (UCCL), Leipzig University Medical Center, Leipzig, Germany
| | - Birgit Luber
- Technische Universität München, Fakultät für Medizin, Klinikum rechts der Isar, Institut für Allgemeine Pathologie und Pathologische Anatomie, München, Germany
| | - Florian Lordick
- University Cancer Center Leipzig (UCCL), Leipzig University Medical Center, Leipzig, Germany
- Department of Oncology, Gastroenterology, Hepatology, Pulmonology and Infectious Diseases, Leipzig University Medical Center, Leipzig, Germany
| | - Axel Walch
- Research Unit Analytical Pathology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.
| |
Collapse
|
2
|
Wang Q, Sun N, Meixner R, Le Gleut R, Kunzke T, Feuchtinger A, Wang J, Shen J, Kircher S, Dischinger U, Weigand I, Beuschlein F, Fassnacht M, Kroiss M, Walch A. Metabolic heterogeneity in adrenocortical carcinoma impacts patient outcomes. JCI Insight 2023; 8:e167007. [PMID: 37606037 PMCID: PMC10543722 DOI: 10.1172/jci.insight.167007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 07/06/2023] [Indexed: 08/23/2023] Open
Abstract
Spatially resolved metabolomics enables the investigation of tumoral metabolites in situ. Inter- and intratumor heterogeneity are key factors associated with patient outcomes. Adrenocortical carcinoma (ACC) is an exceedingly rare tumor associated with poor survival. Its clinical prognosis is highly variable, but the contributions of tumor metabolic heterogeneity have not been investigated thus far to our knowledge. An in-depth understanding of tumor heterogeneity requires molecular feature-based identification of tumor subpopulations associated with tumor aggressiveness. Here, using spatial metabolomics by high-mass resolution MALDI Fourier transform ion cyclotron resonance mass spectrometry imaging, we assessed metabolic heterogeneity by de novo discovery of metabolic subpopulations and Simpson's diversity index. After identification of tumor subpopulations in 72 patients with ACC, we additionally performed a comparison with 25 tissue sections of normal adrenal cortex to identify their common and unique metabolic subpopulations. We observed variability of ACC tumor heterogeneity and correlation of high metabolic heterogeneity with worse clinical outcome. Moreover, we identified tumor subpopulations that served as independent prognostic factors and, furthermore, discovered 4 associated anticancer drug action pathways. Our research may facilitate comprehensive understanding of the biological implications of tumor subpopulations in ACC and showed that metabolic heterogeneity might impact chemotherapy.
Collapse
Affiliation(s)
- Qian Wang
- Research Unit Analytical Pathology and
| | - Na Sun
- Research Unit Analytical Pathology and
| | - Raphael Meixner
- Core Facility Statistical Consulting, Helmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt, Neuherberg, Germany
| | - Ronan Le Gleut
- Core Facility Statistical Consulting, Helmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt, Neuherberg, Germany
| | | | | | - Jun Wang
- Research Unit Analytical Pathology and
| | - Jian Shen
- Research Unit Analytical Pathology and
| | | | - Ulrich Dischinger
- Division of Endocrinology and Diabetes, Department of Internal Medicine, University Hospital of Wuerzburg, Wuerzburg, Germany
| | - Isabel Weigand
- Division of Endocrinology and Diabetes, Department of Internal Medicine, University Hospital of Wuerzburg, Wuerzburg, Germany
- Department of Internal Medicine IV, LMU Hospital, Ludwig-Maximilians-Universität München (LMU), Munich, Germany
| | - Felix Beuschlein
- Department of Internal Medicine IV, LMU Hospital, Ludwig-Maximilians-Universität München (LMU), Munich, Germany
- Department of Endocrinology, Diabetology and Clinical Nutrition, University Hospital Zurich (USZ) and University of Zurich (UZH), Zurich, Switzerland
| | - Martin Fassnacht
- Division of Endocrinology and Diabetes, Department of Internal Medicine, University Hospital of Wuerzburg, Wuerzburg, Germany
- Comprehensive Cancer Center Mainfranken, University Hospital of Wuerzburg, Wuerzburg, Germany
| | - Matthias Kroiss
- Division of Endocrinology and Diabetes, Department of Internal Medicine, University Hospital of Wuerzburg, Wuerzburg, Germany
- Department of Internal Medicine IV, LMU Hospital, Ludwig-Maximilians-Universität München (LMU), Munich, Germany
- Comprehensive Cancer Center Mainfranken, University Hospital of Wuerzburg, Wuerzburg, Germany
| | | |
Collapse
|
3
|
Reinkemeyer C, Khazaei Y, Weigert M, Hannes M, Le Gleut R, Plank M, Winter S, Noreña I, Meier T, Xu L, Rubio-Acero R, Wiegrebe S, Le Thi TG, Fuchs C, Radon K, Paunovic I, Janke C, Wieser A, Küchenhoff H, Hoelscher M, Castelletti N. The Prospective COVID-19 Post-Immunization Serological Cohort in Munich (KoCo-Impf): Risk Factors and Determinants of Immune Response in Healthcare Workers. Viruses 2023; 15:1574. [PMID: 37515259 PMCID: PMC10383736 DOI: 10.3390/v15071574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 07/11/2023] [Accepted: 07/15/2023] [Indexed: 07/30/2023] Open
Abstract
Antibody studies analyze immune responses to SARS-CoV-2 vaccination and infection, which is crucial for selecting vaccination strategies. In the KoCo-Impf study, conducted between 16 June and 16 December 2021, 6088 participants aged 18 and above from Munich were recruited to monitor antibodies, particularly in healthcare workers (HCWs) at higher risk of infection. Roche Elecsys® Anti-SARS-CoV-2 assays on dried blood spots were used to detect prior infections (anti-Nucleocapsid antibodies) and to indicate combinations of vaccinations/infections (anti-Spike antibodies). The anti-Spike seroprevalence was 94.7%, whereas, for anti-Nucleocapsid, it was only 6.9%. HCW status and contact with SARS-CoV-2-positive individuals were identified as infection risk factors, while vaccination and current smoking were associated with reduced risk. Older age correlated with higher anti-Nucleocapsid antibody levels, while vaccination and current smoking decreased the response. Vaccination alone or combined with infection led to higher anti-Spike antibody levels. Increasing time since the second vaccination, advancing age, and current smoking reduced the anti-Spike response. The cumulative number of cases in Munich affected the anti-Spike response over time but had no impact on anti-Nucleocapsid antibody development/seropositivity. Due to the significantly higher infection risk faced by HCWs and the limited number of significant risk factors, it is suggested that all HCWs require protection regardless of individual traits.
Collapse
Affiliation(s)
- Christina Reinkemeyer
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany
| | - Yeganeh Khazaei
- Statistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, Ludwigstraße 33, 80539 Munich, Germany
| | - Maximilian Weigert
- Statistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, Ludwigstraße 33, 80539 Munich, Germany
- Munich Center for Machine Learning (MCML), 80539 Munich, Germany
| | - Marlene Hannes
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany
| | - Ronan Le Gleut
- Institute of Computational Biology, Helmholtz Munich, 85764 Neuherberg, Germany
- Core Facility Statistical Consulting, Helmholtz Munich, 85764 Neuherberg, Germany
| | - Michael Plank
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany
| | - Simon Winter
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany
| | - Ivan Noreña
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany
| | - Theresa Meier
- Statistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, Ludwigstraße 33, 80539 Munich, Germany
| | - Lisa Xu
- Statistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, Ludwigstraße 33, 80539 Munich, Germany
| | - Raquel Rubio-Acero
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany
| | - Simon Wiegrebe
- Statistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, Ludwigstraße 33, 80539 Munich, Germany
- Department of Genetic Epidemiology, University of Regensburg, 93053 Regensburg, Germany
| | - Thu Giang Le Thi
- Department of Pediatrics, Dr. von Hauner Children's Hospital, University Hospital, LMU Munich, Lindwurmstrasse 4, 80337 Munich, Germany
| | - Christiane Fuchs
- Institute of Computational Biology, Helmholtz Munich, 85764 Neuherberg, Germany
- Core Facility Statistical Consulting, Helmholtz Munich, 85764 Neuherberg, Germany
- Faculty of Business Administration and Economics, Bielefeld University, 33615 Bielefeld, Germany
- Center for Mathematics, Technische Universität München, 85748 Garching, 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), 89337 Munich, Germany
| | - Ivana Paunovic
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany
| | - Christian Janke
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany
| | - Andreas Wieser
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany
- German Center for Infection Research (DZIF), Partner Site Munich, 80802 Munich, Germany
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Immunology, Infection and Pandemic Research, 80799 Munich, Germany
- Max von Pettenkofer Institute, Faculty of Medicine, LMU Munich, 80336 Munich, Germany
| | - Helmut Küchenhoff
- Statistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, Ludwigstraße 33, 80539 Munich, Germany
| | - Michael Hoelscher
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany
- Center for International Health (CIH), University Hospital, LMU Munich, 80336 Munich, Germany
- German Center for Infection Research (DZIF), Partner Site Munich, 80802 Munich, Germany
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Immunology, Infection and Pandemic Research, 80799 Munich, Germany
| | - Noemi Castelletti
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Immunology, Infection and Pandemic Research, 80799 Munich, Germany
- Institute of Radiation Medicine, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| |
Collapse
|
4
|
Le Gleut R, Plank M, Pütz P, Radon K, Bakuli A, Rubio-Acero R, Paunovic I, Rieß F, Winter S, Reinkemeyer C, Schälte Y, Olbrich L, Hannes M, Kroidl I, Noreña I, Janke C, Wieser A, Hoelscher M, Fuchs C, Castelletti N. The representative COVID-19 cohort Munich (KoCo19): from the beginning of the pandemic to the Delta virus variant. BMC Infect Dis 2023; 23:466. [PMID: 37442952 DOI: 10.1186/s12879-023-08435-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 06/30/2023] [Indexed: 07/15/2023] Open
Abstract
BACKGROUND Population-based serological studies allow to estimate prevalence of SARS-CoV-2 infections despite a substantial number of mild or asymptomatic disease courses. This became even more relevant for decision making after vaccination started. The KoCo19 cohort tracks the pandemic progress in the Munich general population for over two years, setting it apart in Europe. METHODS Recruitment occurred during the initial pandemic wave, including 5313 participants above 13 years from private households in Munich. Four follow-ups were held at crucial times of the pandemic, with response rates of at least 70%. Participants filled questionnaires on socio-demographics and potential risk factors of infection. From Follow-up 2, information on SARS-CoV-2 vaccination was added. SARS-CoV-2 antibody status was measured using the Roche Elecsys® Anti-SARS-CoV-2 anti-N assay (indicating previous infection) and the Roche Elecsys® Anti-SARS-CoV-2 anti-S assay (indicating previous infection and/or vaccination). This allowed us to distinguish between sources of acquired antibodies. RESULTS The SARS-CoV-2 estimated cumulative sero-prevalence increased from 1.6% (1.1-2.1%) in May 2020 to 14.5% (12.7-16.2%) in November 2021. Underreporting with respect to official numbers fluctuated with testing policies and capacities, becoming a factor of more than two during the second half of 2021. Simultaneously, the vaccination campaign against the SARS-CoV-2 virus increased the percentage of the Munich population having antibodies, with 86.8% (85.5-87.9%) having developed anti-S and/or anti-N in November 2021. Incidence rates for infections after (BTI) and without previous vaccination (INS) differed (ratio INS/BTI of 2.1, 0.7-3.6). However, the prevalence of infections was higher in the non-vaccinated population than in the vaccinated one. Considering the whole follow-up time, being born outside Germany, working in a high-risk job and living area per inhabitant were identified as risk factors for infection, while other socio-demographic and health-related variables were not. Although we obtained significant within-household clustering of SARS-CoV-2 cases, no further geospatial clustering was found. CONCLUSIONS Vaccination increased the coverage of the Munich population presenting SARS-CoV-2 antibodies, but breakthrough infections contribute to community spread. As underreporting stays relevant over time, infections can go undetected, so non-pharmaceutical measures are crucial, particularly for highly contagious strains like Omicron.
Collapse
Affiliation(s)
- Ronan Le Gleut
- Institute of Computational Biology, Helmholtz Munich, German Research Centre for Environmental Health, 85764, Neuherberg, Germany
- Core Facility Statistical Consulting, Helmholtz Munich, German Research Centre for Environmental Health, 85764, Neuherberg, Germany
| | - Michael Plank
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Peter Pütz
- Robert Koch Institute, Nordufer 20, 13353, Berlin, Germany
| | - Katja Radon
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, 80336, Munich, Germany
- Centre for International Health (CIH), University Hospital, LMU Munich, 80336, Munich, Germany
- Comprehensive Pneumology Centre (CPC) Munich, German Centre for Lung Research (DZL), 89337, Munich, Germany
| | - Abhishek Bakuli
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Raquel Rubio-Acero
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Ivana Paunovic
- 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
| | - Simon Winter
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Christina Reinkemeyer
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Yannik Schälte
- Institute of Computational Biology, Helmholtz Munich, German Research Centre for Environmental Health, 85764, Neuherberg, Germany
- Centre for Mathematics, Technische Universität München, 85748, Garching, Germany
- Life and Medical Sciences Institute, University of Bonn, 53115, Bonn, Germany
| | - Laura Olbrich
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Marlene Hannes
- 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
| | - Ivan Noreña
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Christian Janke
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Andreas Wieser
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
- German Centre for Infection Research (DZIF), Partner Site, Munich, Germany
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Immunology, Infection and Pandemic Research, 80799, Munich, Germany
- Max Von Pettenkofer Institute, Faculty of Medicine, LMU Munich, 80336, Munich, Germany
| | - Michael Hoelscher
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
- Centre for International Health (CIH), University Hospital, LMU Munich, 80336, Munich, Germany
- German Centre for Infection Research (DZIF), Partner Site, Munich, Germany
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Immunology, Infection and Pandemic Research, 80799, Munich, Germany
| | - Christiane Fuchs
- Institute of Computational Biology, Helmholtz Munich, German Research Centre for Environmental Health, 85764, Neuherberg, Germany
- Core Facility Statistical Consulting, Helmholtz Munich, German Research Centre for Environmental Health, 85764, Neuherberg, Germany
- Centre for Mathematics, Technische Universität München, 85748, Garching, Germany
- Faculty of Business Administration and Economics, Bielefeld University, 33615, Bielefeld, Germany
| | - Noemi Castelletti
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Immunology, Infection and Pandemic Research, 80799, Munich, Germany.
- Institute of Radiation Medicine, Helmholtz Munich, German Research Centre for Environmental Health, 85764, Neuherberg, Germany.
| |
Collapse
|
5
|
Pedron S, Laxy M, Radon K, Le Gleut R, Castelletti N, Noller JMG, Diefenbach MN, Hölscher M, Leidl R, Schwettmann L. Socioeconomic and risk-related drivers of compliance with measures to prevent SARS-CoV-2 infection: evidence from the Munich-based KoCo19 study. BMC Public Health 2023; 23:860. [PMID: 37170091 PMCID: PMC10173220 DOI: 10.1186/s12889-023-15759-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 04/26/2023] [Indexed: 05/13/2023] Open
Abstract
OBJECTIVES Although a growing share of the population in many countries has been vaccinated against the SARS-CoV-2 virus to different degrees, social distancing and hygienic non-pharmaceutical interventions still play a substantial role in containing the pandemic. The goal of this study was to investigate which factors are correlated with a higher compliance with these regulations in the context of a cohort study in the city of Munich, southern Germany, during the summer of 2020, i.e. after the first lockdown phase. METHODS Using self-reported compliance with six regulations and personal hygiene rules (washing hands, avoiding touching face, wearing a mask, keeping distance, avoiding social gatherings, avoiding public spaces) we extracted two compliance factor scores, namely compliance with personal hygiene measures and compliance with social distancing regulations. Using linear and logistic regressions, we estimated the correlation of several socio-demographic and risk perception variables with both compliance scores. RESULTS Risk aversion proved to be a consistent and significant driver of compliance across all compliance behaviors. Furthermore, being female, being retired and having a migration background were positively associated with compliance with personal hygiene regulations, whereas older age was related with a higher compliance with social distancing regulations. Generally, socioeconomic characteristics were not related with compliance, except for education, which was negatively related with compliance with personal hygiene measures. CONCLUSIONS Our results suggest that for a targeted approach to improve compliance with measures to prevent SARS-CoV-2 infection, special attention should be given to younger, male and risk-prone individuals.
Collapse
Affiliation(s)
- Sara Pedron
- Professorship of Public Health and Prevention, Technical University of Munich, Munich, Germany.
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.
- German Center for Diabetes Research (DZD), Neuherberg, Germany.
| | - Michael Laxy
- Professorship of Public Health and Prevention, Technical University of Munich, Munich, Germany
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Global Diabetes Research Center, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany
| | - Katja Radon
- Center for International Health, Institute for Occupational, Social and Environmental Medicine, University Hospital, Ludwig Maximilian University, Munich, Germany
| | - Ronan Le Gleut
- Core Facility Statistical Consulting, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Munich, Germany
| | - Noemi Castelletti
- Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig Maximilian University, Munich, Germany
- Institute of Radiation Medicine, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | | | - Maximilian Nikolaus Diefenbach
- Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig Maximilian University, Munich, Germany
| | - Michael Hölscher
- Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig Maximilian University, Munich, Germany
- Center for International Health, University Hospital, Ludwig Maximilian University, Munich, Germany
- German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany
| | - Reiner Leidl
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Munich School of Management and Munich Center of Health Sciences, Ludwig Maximilian University, Munich, Germany
| | - Lars Schwettmann
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Department of Health Services Research, School of Medicine and Health Sciences, Carl Von Ossietzky University of Oldenburg, Oldenburg, Germany
| |
Collapse
|
6
|
Contento L, Castelletti N, Raimúndez E, Le Gleut R, Schälte Y, Stapor P, Hinske LC, Hoelscher M, Wieser A, Radon K, Fuchs C, Hasenauer J. Integrative modelling of reported case numbers and seroprevalence reveals time-dependent test efficiency and infectious contacts. Epidemics 2023; 43:100681. [PMID: 36931114 PMCID: PMC10008049 DOI: 10.1016/j.epidem.2023.100681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 02/28/2023] [Accepted: 03/08/2023] [Indexed: 03/16/2023] Open
Abstract
Mathematical models have been widely used during the ongoing SARS-CoV-2 pandemic for data interpretation, forecasting, and policy making. However, most models are based on officially reported case numbers, which depend on test availability and test strategies. The time dependence of these factors renders interpretation difficult and might even result in estimation biases. Here, we present a computational modelling framework that allows for the integration of reported case numbers with seroprevalence estimates obtained from representative population cohorts. To account for the time dependence of infection and testing rates, we embed flexible splines in an epidemiological model. The parameters of these splines are estimated, along with the other parameters, from the available data using a Bayesian approach. The application of this approach to the official case numbers reported for Munich (Germany) and the seroprevalence reported by the prospective COVID-19 Cohort Munich (KoCo19) provides first estimates for the time dependence of the under-reporting factor. Furthermore, we estimate how the effectiveness of non-pharmaceutical interventions and of the testing strategy evolves over time. Overall, our results show that the integration of temporally highly resolved and representative data is beneficial for accurate epidemiological analyses.
Collapse
Affiliation(s)
- Lorenzo Contento
- Faculty of Mathematics and Natural Sciences, University of Bonn, Bonn, Germany.
| | - Noemi Castelletti
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Elba Raimúndez
- Faculty of Mathematics and Natural Sciences, University of Bonn, Bonn, Germany; Center for Mathematics, Technische Universität München, Garching, Germany
| | - Ronan Le Gleut
- Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Core Facility Statistical Consulting, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Yannik Schälte
- Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Center for Mathematics, Technische Universität München, Garching, Germany
| | - Paul Stapor
- Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Center for Mathematics, Technische Universität München, Garching, Germany
| | - Ludwig Christian Hinske
- Institut für medizinische Informationsverarbeitung, Biometrie und Epidemiologie, Munich, Germany
| | - Michael Hoelscher
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, Munich, Germany; Center for International Health (CIH), University Hospital, LMU Munich, Munich, Germany; German Center for Infection Research (DZIF), partner site Munich, Germany
| | - Andreas Wieser
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, Munich, Germany; German Center for Infection Research (DZIF), partner site Munich, Germany
| | - Katja Radon
- German Center for Infection Research (DZIF), partner site Munich, Germany; Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany; Comprehensive Pneumology Center (CPC) Munich, German Center for Lung Research (DZL), Munich, Germany
| | - Christiane Fuchs
- Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Core Facility Statistical Consulting, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Center for Mathematics, Technische Universität München, Garching, Germany; Faculty of Business Administration and Economics, Bielefeld University, Bielefeld, Germany
| | - Jan Hasenauer
- Faculty of Mathematics and Natural Sciences, University of Bonn, Bonn, Germany; Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Center for Mathematics, Technische Universität München, Garching, Germany
| | | |
Collapse
|
7
|
Nakayama M, Marchi H, Dmitrieva AM, Chakraborty A, Merl-Pham J, Hennen E, Le Gleut R, Ruppert C, Guenther A, Kahnert K, Behr J, Hilgendorff A, Hauck SM, Adler H, Staab-Weijnitz CA. Quantitative proteomics of differentiated primary bronchial epithelial cells from chronic obstructive pulmonary disease and control identifies potential novel host factors post-influenza A virus infection. Front Microbiol 2023; 13:957830. [PMID: 36713229 PMCID: PMC9875134 DOI: 10.3389/fmicb.2022.957830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 12/19/2022] [Indexed: 01/12/2023] Open
Abstract
Background Chronic obstructive pulmonary disease (COPD) collectively refers to chronic and progressive lung diseases that cause irreversible limitations in airflow. Patients with COPD are at high risk for severe respiratory symptoms upon influenza virus infection. Airway epithelial cells provide the first-line antiviral defense, but whether or not their susceptibility and response to influenza virus infection changes in COPD have not been elucidated. Therefore, this study aimed to compare the susceptibility of COPD- and control-derived airway epithelium to the influenza virus and assess protein changes during influenza virus infection by quantitative proteomics. Materials and methods The presence of human- and avian-type influenza A virus receptor was assessed in control and COPD lung sections as well as in fully differentiated primary human bronchial epithelial cells (phBECs) by lectin- or antibody-based histochemical staining. PhBECs were from COPD lungs, including cells from moderate- and severe-stage diseases, and from age-, sex-, smoking, and history-matched control lung specimens. Protein profiles pre- and post-influenza virus infection in vitro were directly compared using quantitative proteomics, and selected findings were validated by qRT-PCR and immunoblotting. Results The human-type influenza receptor was more abundant in human airways than the avian-type influenza receptor, a property that was retained in vitro when differentiating phBECs at the air-liquid interface. Proteomics of phBECs pre- and post-influenza A virus infection with A/Puerto Rico/8/34 (PR8) revealed no significant differences between COPD and control phBECs in terms of flu receptor expression, cell type composition, virus replication, or protein profile pre- and post-infection. Independent of health state, a robust antiviral response to influenza virus infection was observed, as well as upregulation of several novel influenza virus-regulated proteins, including PLSCR1, HLA-F, CMTR1, DTX3L, and SHFL. Conclusion COPD- and control-derived phBECs did not differ in cell type composition, susceptibility to influenza virus infection, and proteomes pre- and post-infection. Finally, we identified novel influenza A virus-regulated proteins in bronchial epithelial cells that might serve as potential targets to modulate the pathogenicity of infection and acute exacerbations.
Collapse
Affiliation(s)
- Misako Nakayama
- Institute of Lung Health and Immunity and Comprehensive Pneumology Center with the CPC-M BioArchive, Helmholtz Zentrum München, Member of the German Center of Lung Research (DZL), Munich, Germany,Division of Pathogenesis and Disease Regulation, Department of Pathology, Shiga University of Medical Science, Otsu, Japan
| | - Hannah Marchi
- Core Facility Statistical Consulting, Helmholtz Zentrum München, Munich, Germany,Faculty of Business Administration and Economics, Bielefeld University, Bielefeld, Germany
| | - Anna M. Dmitrieva
- Research Unit Lung Repair and Regeneration, Helmholtz Zentrum München, Member of the German Center of Lung Research (DZL), Munich, Germany
| | - Ashesh Chakraborty
- Institute of Lung Health and Immunity and Comprehensive Pneumology Center with the CPC-M BioArchive, Helmholtz Zentrum München, Member of the German Center of Lung Research (DZL), Munich, Germany
| | - Juliane Merl-Pham
- Metabolomics and Proteomics Core, Helmholtz Zentrum München, Neuherberg, Germany
| | - Elisabeth Hennen
- Institute of Lung Health and Immunity and Comprehensive Pneumology Center with the CPC-M BioArchive, Helmholtz Zentrum München, Member of the German Center of Lung Research (DZL), Munich, Germany
| | - Ronan Le Gleut
- Core Facility Statistical Consulting, Helmholtz Zentrum München, Munich, Germany
| | - Clemens Ruppert
- Department of Internal Medicine, Medizinische Klinik II, Member of the German Center of Lung Research (DZL), Giessen, Germany
| | - Andreas Guenther
- Department of Internal Medicine, Medizinische Klinik II, Member of the German Center of Lung Research (DZL), Giessen, Germany
| | - Kathrin Kahnert
- Department of Medicine V, Ludwig Maximilian University (LMU) Munich, Member of the German Center of Lung Research, University Hospital, Munich, Germany
| | - Jürgen Behr
- Department of Medicine V, Ludwig Maximilian University (LMU) Munich, Member of the German Center of Lung Research, University Hospital, Munich, Germany
| | - Anne Hilgendorff
- Institute of Lung Health and Immunity and Comprehensive Pneumology Center with the CPC-M BioArchive, Helmholtz Zentrum München, Member of the German Center of Lung Research (DZL), Munich, Germany
| | - Stefanie M. Hauck
- Metabolomics and Proteomics Core, Helmholtz Zentrum München, Neuherberg, Germany
| | - Heiko Adler
- Research Unit Lung Repair and Regeneration, Helmholtz Zentrum München, Member of the German Center of Lung Research (DZL), Munich, Germany,Institute of Asthma and Allergy Prevention, Helmholtz Zentrum München, Member of the German Center of Lung Research (DZL), Munich, Germany,*Correspondence: Heiko Adler,
| | - Claudia A. Staab-Weijnitz
- Institute of Lung Health and Immunity and Comprehensive Pneumology Center with the CPC-M BioArchive, Helmholtz Zentrum München, Member of the German Center of Lung Research (DZL), Munich, Germany,Claudia A. Staab-Weijnitz, ; https://orcid.org/0000-0002-1211-7834
| |
Collapse
|
8
|
Puchinger K, Castelletti N, Rubio-Acero R, Geldmacher C, Eser TM, Deák F, Paunovic I, Bakuli A, Saathoff E, von Meyer A, Markgraf A, Falk P, Reich J, Riess F, Girl P, Müller K, Radon K, Guggenbuehl Noller JM, Wölfel R, Hoelscher M, Kroidl I, Wieser A, Olbrich L, Alamoudi E, Anderson J, Baumann M, Behlen M, Beyerl J, Böhnlein R, Brauer A, Britz V, Bruger J, Caroli F, Contento L, Diekmannshemke J, Do A, Dobler G, Eberle U, Eckstein J, Frese J, Forster F, Frahnow T, Fröschl G, Geisenberger O, Gillig K, Heiber A, Hinske C, Hoefflin J, Hofberger T, Höfinger M, Hofmann L, Horn S, Huber K, Janke C, Kappl U, Kiani C, Kroidl A, Laxy M, Leidl R, Lindner F, Mayrhofer R, Mekota AM, Müller H, Metaxa D, Pattard L, Pletschette M, Prückner S, Pusl K, Raimúndez E, Rothe C, Schäfer N, Schandelmaier P, Schneider L, Schultz S, Schunk M, Schwettmann L, Seibold H, Sothmann P, Stapor P, Theis F, Thiel V, Thiesbrummel S, Thur N, Waibel J, Wallrauch C, Winter S, Wolff J, Wullinger P, Yaqine H, Zange S, Zeggini E, Zimmermann T, Zielke A, Ibraheem M, Ahmed M, Becker M, Diepers P, Schälte Y, Garí M, Pütz P, Pritsch M, Fingerle V, Le Gleut R, Gilberg L, Brand I, Diefenbach M, Eser T, Weinauer F, Martin S, Quenzel EM, Durner J, Girl P, Müller K, Radon K, Fuchs C, Hasenauer J. The interplay of viral loads, clinical presentation, and serological responses in SARS-CoV-2 – Results from a prospective cohort of outpatient COVID-19 cases. Virology 2022; 569:37-43. [PMID: 35245784 PMCID: PMC8855229 DOI: 10.1016/j.virol.2022.02.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 02/15/2022] [Accepted: 02/15/2022] [Indexed: 11/24/2022]
Abstract
Risk factors for disease progression and severity of SARS-CoV-2 infections require an understanding of acute and long-term virological and immunological dynamics. Fifty-one RT-PCR positive COVID-19 outpatients were recruited between May and December 2020 in Munich, Germany, and followed up at multiple defined timepoints for up to one year. RT-PCR and viral culture were performed and seroresponses measured. Participants were classified applying the WHO clinical progression scale. Short symptom to test time (median 5.0 days; p = 0.0016) and high viral loads (VL; median maximum VL: 3∙108 copies/mL; p = 0.0015) were indicative for viral culture positivity. Participants with WHO grade 3 at baseline had significantly higher VLs compared to those with WHO 1 and 2 (p = 0.01). VLs dropped fast within 1 week of symptom onset. Maximum VLs were positively correlated with the magnitude of Ro-N-Ig seroresponse (p = 0.022). Our results describe the dynamics of VLs and antibodies to SARS-CoV-2 in mild to moderate cases that can support public health measures during the ongoing global pandemic.
Collapse
|
9
|
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. 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: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [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.
Collapse
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
| |
Collapse
|
10
|
Radon K, Bakuli A, Pütz P, Le Gleut R, Guggenbuehl Noller JM, Olbrich L, Saathoff E, Garí M, Schälte Y, Frahnow T, Wölfel R, Pritsch M, Rothe C, Pletschette M, Rubio-Acero R, Beyerl J, Metaxa D, Forster F, Thiel V, Castelletti N, Rieß F, Diefenbach MN, Fröschl G, Bruger J, Winter S, Frese J, Puchinger K, Brand I, Kroidl I, Wieser A, Hoelscher M, Hasenauer J, Fuchs C. From first to second wave: follow-up of the prospective COVID-19 cohort (KoCo19) in Munich (Germany). BMC Infect Dis 2021; 21:925. [PMID: 34493217 PMCID: PMC8423599 DOI: 10.1186/s12879-021-06589-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2021] [Accepted: 08/19/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND In the 2nd year of the COVID-19 pandemic, knowledge about the dynamics of the infection in the general population is still limited. Such information is essential for health planners, as many of those infected show no or only mild symptoms and thus, escape the surveillance system. We therefore aimed to describe the course of the pandemic in the Munich general population living in private households from April 2020 to January 2021. METHODS The KoCo19 baseline study took place from April to June 2020 including 5313 participants (age 14 years and above). From November 2020 to January 2021, we could again measure SARS-CoV-2 antibody status in 4433 of the baseline participants (response 83%). Participants were offered a self-sampling kit to take a capillary blood sample (dry blood spot; DBS). Blood was analysed using the Elecsys® Anti-SARS-CoV-2 assay (Roche). Questionnaire information on socio-demographics and potential risk factors assessed at baseline was available for all participants. In addition, follow-up information on health-risk taking behaviour and number of personal contacts outside the household (N = 2768) as well as leisure time activities (N = 1263) were collected in summer 2020. RESULTS Weighted and adjusted (for specificity and sensitivity) SARS-CoV-2 sero-prevalence at follow-up was 3.6% (95% CI 2.9-4.3%) as compared to 1.8% (95% CI 1.3-3.4%) at baseline. 91% of those tested positive at baseline were also antibody-positive at follow-up. While sero-prevalence increased from early November 2020 to January 2021, no indication of geospatial clustering across the city of Munich was found, although cases clustered within households. Taking baseline result and time to follow-up into account, men and participants in the age group 20-34 years were at the highest risk of sero-positivity. In the sensitivity analyses, differences in health-risk taking behaviour, number of personal contacts and leisure time activities partly explained these differences. CONCLUSION The number of citizens in Munich with SARS-CoV-2 antibodies was still below 5% during the 2nd wave of the pandemic. Antibodies remained present in the majority of SARS-CoV-2 sero-positive baseline participants. Besides age and sex, potentially confounded by differences in behaviour, no major risk factors could be identified. Non-pharmaceutical public health measures are thus still important.
Collapse
Affiliation(s)
- 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), 89337, Munich, Germany.
| | - Abhishek Bakuli
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Peter Pütz
- Institute of Computational Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764, Neuherberg, Germany
- Faculty of Business Administration and Economics, Bielefeld University, 33615, Bielefeld, Germany
| | - Ronan Le Gleut
- Institute of Computational Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764, Neuherberg, Germany
- Core Facility Statistical Consulting, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | | | - 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
| | - 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
| | - Mercè Garí
- Institute of Computational Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Yannik Schälte
- Institute of Computational Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764, Neuherberg, Germany
- Center for Mathematics, Technische Universität München, 85748, Garching, Germany
| | - Turid Frahnow
- Institute of Computational Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764, Neuherberg, Germany
- Faculty of Business Administration and Economics, Bielefeld University, 33615, Bielefeld, Germany
| | - Roman Wölfel
- German Center for Infection Research (DZIF), partner site, Munich, Germany
- Bundeswehr Institute of Microbiology, 80937, Munich, Germany
| | - Michael Pritsch
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
- German Center for Infection Research (DZIF), partner site, Munich, Germany
| | - Camilla Rothe
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Michel Pletschette
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Raquel Rubio-Acero
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Jessica Beyerl
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Dafni Metaxa
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Felix Forster
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, 80336, Munich, Germany
- Comprehensive Pneumology Center (CPC) Munich, German Center for Lung Research (DZL), 89337, Munich, Germany
| | - Verena Thiel
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Noemi Castelletti
- 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
- German Center for Infection Research (DZIF), partner site, Munich, Germany
| | - Maximilian N Diefenbach
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Günter Fröschl
- Center for International Health (CIH), University Hospital, LMU Munich, 80336, Munich, Germany
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Jan Bruger
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Simon Winter
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Jonathan Frese
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Kerstin Puchinger
- 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
| | - 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
| | - 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
| | - Michael Hoelscher
- Center for International Health (CIH), University Hospital, LMU Munich, 80336, Munich, Germany
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
- German Center for Infection Research (DZIF), partner site, Munich, Germany
| | - Jan Hasenauer
- Institute of Computational Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764, Neuherberg, Germany
- Center for Mathematics, Technische Universität München, 85748, Garching, Germany
- Interdisciplinary Research Unit Mathematics and Life Sciences, University of Bonn, 53113, Bonn, Germany
| | - Christiane Fuchs
- Institute of Computational Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764, Neuherberg, Germany
- Faculty of Business Administration and Economics, Bielefeld University, 33615, Bielefeld, Germany
- Core Facility Statistical Consulting, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764, Neuherberg, Germany
- Center for Mathematics, Technische Universität München, 85748, Garching, Germany
| |
Collapse
|
11
|
Pritsch M, Radon K, Bakuli A, Le Gleut R, Olbrich L, Guggenbüehl Noller JM, Saathoff E, Castelletti N, Garí M, Pütz P, Schälte Y, Frahnow T, Wölfel R, Rothe C, Pletschette M, Metaxa D, Forster F, Thiel V, Rieß F, Diefenbach MN, Fröschl G, Bruger J, Winter S, Frese J, Puchinger K, Brand I, Kroidl I, Hasenauer J, Fuchs C, Wieser A, Hoelscher M. Prevalence and Risk Factors of Infection in the Representative COVID-19 Cohort Munich. Int J Environ Res Public Health 2021; 18:ijerph18073572. [PMID: 33808249 PMCID: PMC8038115 DOI: 10.3390/ijerph18073572] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 03/23/2021] [Accepted: 03/27/2021] [Indexed: 02/07/2023]
Abstract
Given the large number of mild or asymptomatic SARS-CoV-2 cases, only population-based studies can provide reliable estimates of the magnitude of the pandemic. We therefore aimed to assess the sero-prevalence of SARS-CoV-2 in the Munich general population after the first wave of the pandemic. For this purpose, we drew a representative sample of 2994 private households and invited household members 14 years and older to complete questionnaires and to provide blood samples. SARS-CoV-2 seropositivity was defined as Roche N pan-Ig ≥ 0.4218. We adjusted the prevalence for the sampling design, sensitivity, and specificity. We investigated risk factors for SARS-CoV-2 seropositivity and geospatial transmission patterns by generalized linear mixed models and permutation tests. Seropositivity for SARS-CoV-2-specific antibodies was 1.82% (95% confidence interval (CI) 1.28-2.37%) as compared to 0.46% PCR-positive cases officially registered in Munich. Loss of the sense of smell or taste was associated with seropositivity (odds ratio (OR) 47.4; 95% CI 7.2-307.0) and infections clustered within households. By this first population-based study on SARS-CoV-2 prevalence in a large German municipality not affected by a superspreading event, we could show that at least one in four cases in private households was reported and known to the health authorities. These results will help authorities to estimate the true burden of disease in the population and to take evidence-based decisions on public health measures.
Collapse
Affiliation(s)
- Michael Pritsch
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany; (M.P.); (A.B.); (L.O.); (J.M.G.N.); (E.S.); (N.C.); (C.R.); (M.P.); (D.M.); (V.T.); (F.R.); (M.N.D.); (G.F.); (J.B.); (S.W.); (J.F.); (K.P.); (I.B.); (I.K.); (A.W.)
- German Center for Infection Research (DZIF), Partner Site Munich, 80802 Munich, Germany;
| | - Katja Radon
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, 80336 Munich, Germany; (K.R.); (F.F.)
- Center for International Health (CIH), University Hospital, LMU Munich, 80336 Munich, Germany
- Comprehensive Pneumology Center (CPC) Munich, German Center for Lung Research (DZL), 89337 Munich, Germany
| | - Abhishek Bakuli
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany; (M.P.); (A.B.); (L.O.); (J.M.G.N.); (E.S.); (N.C.); (C.R.); (M.P.); (D.M.); (V.T.); (F.R.); (M.N.D.); (G.F.); (J.B.); (S.W.); (J.F.); (K.P.); (I.B.); (I.K.); (A.W.)
| | - Ronan Le Gleut
- Helmholtz Zentrum München—German Research Center for Environmental Health, Institute of Computational Biology, 85764 Neuherberg, Germany; (R.L.G.); (M.G.); (P.P.); (Y.S.); (T.F.); (J.H.); (C.F.)
- Helmholtz Zentrum München—German Research Center for Environmental Health, Core Facility Statistical Consulting, 85764 Neuherberg, Germany
| | - Laura Olbrich
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany; (M.P.); (A.B.); (L.O.); (J.M.G.N.); (E.S.); (N.C.); (C.R.); (M.P.); (D.M.); (V.T.); (F.R.); (M.N.D.); (G.F.); (J.B.); (S.W.); (J.F.); (K.P.); (I.B.); (I.K.); (A.W.)
- German Center for Infection Research (DZIF), Partner Site Munich, 80802 Munich, Germany;
| | - Jessica Michelle Guggenbüehl Noller
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany; (M.P.); (A.B.); (L.O.); (J.M.G.N.); (E.S.); (N.C.); (C.R.); (M.P.); (D.M.); (V.T.); (F.R.); (M.N.D.); (G.F.); (J.B.); (S.W.); (J.F.); (K.P.); (I.B.); (I.K.); (A.W.)
| | - Elmar Saathoff
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany; (M.P.); (A.B.); (L.O.); (J.M.G.N.); (E.S.); (N.C.); (C.R.); (M.P.); (D.M.); (V.T.); (F.R.); (M.N.D.); (G.F.); (J.B.); (S.W.); (J.F.); (K.P.); (I.B.); (I.K.); (A.W.)
- German Center for Infection Research (DZIF), Partner Site Munich, 80802 Munich, Germany;
| | - Noemi Castelletti
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany; (M.P.); (A.B.); (L.O.); (J.M.G.N.); (E.S.); (N.C.); (C.R.); (M.P.); (D.M.); (V.T.); (F.R.); (M.N.D.); (G.F.); (J.B.); (S.W.); (J.F.); (K.P.); (I.B.); (I.K.); (A.W.)
| | - Mercè Garí
- Helmholtz Zentrum München—German Research Center for Environmental Health, Institute of Computational Biology, 85764 Neuherberg, Germany; (R.L.G.); (M.G.); (P.P.); (Y.S.); (T.F.); (J.H.); (C.F.)
| | - Peter Pütz
- Helmholtz Zentrum München—German Research Center for Environmental Health, Institute of Computational Biology, 85764 Neuherberg, Germany; (R.L.G.); (M.G.); (P.P.); (Y.S.); (T.F.); (J.H.); (C.F.)
- Faculty of Business Administration and Economics, Bielefeld University, 33615 Bielefeld, Germany
| | - Yannik Schälte
- Helmholtz Zentrum München—German Research Center for Environmental Health, Institute of Computational Biology, 85764 Neuherberg, Germany; (R.L.G.); (M.G.); (P.P.); (Y.S.); (T.F.); (J.H.); (C.F.)
- Center for Mathematics, Technische Universität München, 85748 Garching, Germany
| | - Turid Frahnow
- Helmholtz Zentrum München—German Research Center for Environmental Health, Institute of Computational Biology, 85764 Neuherberg, Germany; (R.L.G.); (M.G.); (P.P.); (Y.S.); (T.F.); (J.H.); (C.F.)
- Faculty of Business Administration and Economics, Bielefeld University, 33615 Bielefeld, Germany
| | - Roman Wölfel
- German Center for Infection Research (DZIF), Partner Site Munich, 80802 Munich, Germany;
- Bundeswehr Institute of Microbiology, 80937 Munich, Germany
| | - Camilla Rothe
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany; (M.P.); (A.B.); (L.O.); (J.M.G.N.); (E.S.); (N.C.); (C.R.); (M.P.); (D.M.); (V.T.); (F.R.); (M.N.D.); (G.F.); (J.B.); (S.W.); (J.F.); (K.P.); (I.B.); (I.K.); (A.W.)
| | - Michel Pletschette
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany; (M.P.); (A.B.); (L.O.); (J.M.G.N.); (E.S.); (N.C.); (C.R.); (M.P.); (D.M.); (V.T.); (F.R.); (M.N.D.); (G.F.); (J.B.); (S.W.); (J.F.); (K.P.); (I.B.); (I.K.); (A.W.)
| | - Dafni Metaxa
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany; (M.P.); (A.B.); (L.O.); (J.M.G.N.); (E.S.); (N.C.); (C.R.); (M.P.); (D.M.); (V.T.); (F.R.); (M.N.D.); (G.F.); (J.B.); (S.W.); (J.F.); (K.P.); (I.B.); (I.K.); (A.W.)
| | - Felix Forster
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, 80336 Munich, Germany; (K.R.); (F.F.)
- Comprehensive Pneumology Center (CPC) Munich, German Center for Lung Research (DZL), 89337 Munich, Germany
| | - Verena Thiel
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany; (M.P.); (A.B.); (L.O.); (J.M.G.N.); (E.S.); (N.C.); (C.R.); (M.P.); (D.M.); (V.T.); (F.R.); (M.N.D.); (G.F.); (J.B.); (S.W.); (J.F.); (K.P.); (I.B.); (I.K.); (A.W.)
| | - Friedrich Rieß
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany; (M.P.); (A.B.); (L.O.); (J.M.G.N.); (E.S.); (N.C.); (C.R.); (M.P.); (D.M.); (V.T.); (F.R.); (M.N.D.); (G.F.); (J.B.); (S.W.); (J.F.); (K.P.); (I.B.); (I.K.); (A.W.)
- German Center for Infection Research (DZIF), Partner Site Munich, 80802 Munich, Germany;
| | - Maximilian Nikolaus Diefenbach
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany; (M.P.); (A.B.); (L.O.); (J.M.G.N.); (E.S.); (N.C.); (C.R.); (M.P.); (D.M.); (V.T.); (F.R.); (M.N.D.); (G.F.); (J.B.); (S.W.); (J.F.); (K.P.); (I.B.); (I.K.); (A.W.)
| | - Günter Fröschl
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany; (M.P.); (A.B.); (L.O.); (J.M.G.N.); (E.S.); (N.C.); (C.R.); (M.P.); (D.M.); (V.T.); (F.R.); (M.N.D.); (G.F.); (J.B.); (S.W.); (J.F.); (K.P.); (I.B.); (I.K.); (A.W.)
- Center for International Health (CIH), University Hospital, LMU Munich, 80336 Munich, Germany
| | - Jan Bruger
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany; (M.P.); (A.B.); (L.O.); (J.M.G.N.); (E.S.); (N.C.); (C.R.); (M.P.); (D.M.); (V.T.); (F.R.); (M.N.D.); (G.F.); (J.B.); (S.W.); (J.F.); (K.P.); (I.B.); (I.K.); (A.W.)
| | - Simon Winter
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany; (M.P.); (A.B.); (L.O.); (J.M.G.N.); (E.S.); (N.C.); (C.R.); (M.P.); (D.M.); (V.T.); (F.R.); (M.N.D.); (G.F.); (J.B.); (S.W.); (J.F.); (K.P.); (I.B.); (I.K.); (A.W.)
| | - Jonathan Frese
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany; (M.P.); (A.B.); (L.O.); (J.M.G.N.); (E.S.); (N.C.); (C.R.); (M.P.); (D.M.); (V.T.); (F.R.); (M.N.D.); (G.F.); (J.B.); (S.W.); (J.F.); (K.P.); (I.B.); (I.K.); (A.W.)
| | - Kerstin Puchinger
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany; (M.P.); (A.B.); (L.O.); (J.M.G.N.); (E.S.); (N.C.); (C.R.); (M.P.); (D.M.); (V.T.); (F.R.); (M.N.D.); (G.F.); (J.B.); (S.W.); (J.F.); (K.P.); (I.B.); (I.K.); (A.W.)
| | - Isabel Brand
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany; (M.P.); (A.B.); (L.O.); (J.M.G.N.); (E.S.); (N.C.); (C.R.); (M.P.); (D.M.); (V.T.); (F.R.); (M.N.D.); (G.F.); (J.B.); (S.W.); (J.F.); (K.P.); (I.B.); (I.K.); (A.W.)
| | - Inge Kroidl
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany; (M.P.); (A.B.); (L.O.); (J.M.G.N.); (E.S.); (N.C.); (C.R.); (M.P.); (D.M.); (V.T.); (F.R.); (M.N.D.); (G.F.); (J.B.); (S.W.); (J.F.); (K.P.); (I.B.); (I.K.); (A.W.)
- German Center for Infection Research (DZIF), Partner Site Munich, 80802 Munich, Germany;
| | - Jan Hasenauer
- Helmholtz Zentrum München—German Research Center for Environmental Health, Institute of Computational Biology, 85764 Neuherberg, Germany; (R.L.G.); (M.G.); (P.P.); (Y.S.); (T.F.); (J.H.); (C.F.)
- Center for Mathematics, Technische Universität München, 85748 Garching, Germany
- Interdisciplinary Research Unit Mathematics and Life Sciences, University of Bonn, 53113 Bonn, Germany
| | - Christiane Fuchs
- Helmholtz Zentrum München—German Research Center for Environmental Health, Institute of Computational Biology, 85764 Neuherberg, Germany; (R.L.G.); (M.G.); (P.P.); (Y.S.); (T.F.); (J.H.); (C.F.)
- Helmholtz Zentrum München—German Research Center for Environmental Health, Core Facility Statistical Consulting, 85764 Neuherberg, Germany
- Faculty of Business Administration and Economics, Bielefeld University, 33615 Bielefeld, Germany
- Center for Mathematics, Technische Universität München, 85748 Garching, Germany
| | - Andreas Wieser
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany; (M.P.); (A.B.); (L.O.); (J.M.G.N.); (E.S.); (N.C.); (C.R.); (M.P.); (D.M.); (V.T.); (F.R.); (M.N.D.); (G.F.); (J.B.); (S.W.); (J.F.); (K.P.); (I.B.); (I.K.); (A.W.)
- German Center for Infection Research (DZIF), Partner Site Munich, 80802 Munich, Germany;
| | - Michael Hoelscher
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany; (M.P.); (A.B.); (L.O.); (J.M.G.N.); (E.S.); (N.C.); (C.R.); (M.P.); (D.M.); (V.T.); (F.R.); (M.N.D.); (G.F.); (J.B.); (S.W.); (J.F.); (K.P.); (I.B.); (I.K.); (A.W.)
- German Center for Infection Research (DZIF), Partner Site Munich, 80802 Munich, Germany;
- Center for International Health (CIH), University Hospital, LMU Munich, 80336 Munich, Germany
- Correspondence: ; Tel.: +49-89-44005-9801
| | | |
Collapse
|
12
|
Philipp J, Le Gleut R, von Toerne C, Subedi P, Azimzadeh O, Atkinson MJ, Tapio S. Radiation Response of Human Cardiac Endothelial Cells Reveals a Central Role of the cGAS-STING Pathway in the Development of Inflammation. Proteomes 2020; 8:proteomes8040030. [PMID: 33114474 PMCID: PMC7709117 DOI: 10.3390/proteomes8040030] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 10/06/2020] [Accepted: 10/19/2020] [Indexed: 12/13/2022] Open
Abstract
Radiation-induced inflammation leading to the permeability of the endothelial barrier may increase the risk of cardiovascular disease. The aim of this study was to investigate potential mechanisms in vitro at the level of the proteome in human coronary artery endothelial cells (HCECest2) that were exposed to radiation doses of 0, 0.25, 0.5, 2.0 and 10 Gy (60Co-γ). Proteomics analysis was performed using mass spectrometry in a label-free data-independent acquisition mode. The data were validated using bioinformatics and immunoblotting. The low- and moderate-dose-irradiated samples (0.25 Gy, 0.5 Gy) showed only scarce proteome changes. In contrast, an activation of DNA-damage repair, inflammation, and oxidative stress pathways was seen after the high-dose treatments (2 and 10 Gy). The level of the DNA damage response protein DDB2 was enhanced early at the 10 Gy dose. The expression of proteins belonging to the inflammatory response or cGAS-STING pathway (STING, STAT1, ICAM1, ISG15) increased in a dose-dependent manner, showing the strongest effects at 10 Gy after one week. This study suggests a connection between the radiation-induced DNA damage and the induction of inflammation which supports the inhibition of the cGAS-STING pathway in the prevention of radiation-induced cardiovascular disease.
Collapse
Affiliation(s)
- Jos Philipp
- Institute of Radiation Biology, Helmholtz Center Munich, German Research Center for Environmental Health GmbH, 85764 Neuherberg, Germany; (J.P.); (P.S.); (O.A.); (M.J.A.)
| | - Ronan Le Gleut
- Institute of Computational Biology, Helmholtz Center Munich, German Research Center for Environmental Health GmbH, 85764 Neuherberg, Germany;
| | - Christine von Toerne
- Research Unit Protein Science, Helmholtz Center Munich, German Research Center for Environmental Health GmbH, 85764 Neuherberg, Germany;
| | - Prabal Subedi
- Institute of Radiation Biology, Helmholtz Center Munich, German Research Center for Environmental Health GmbH, 85764 Neuherberg, Germany; (J.P.); (P.S.); (O.A.); (M.J.A.)
- Federal Office for Radiation Protection, BfS, 85764 Neuherberg, Germany
| | - Omid Azimzadeh
- Institute of Radiation Biology, Helmholtz Center Munich, German Research Center for Environmental Health GmbH, 85764 Neuherberg, Germany; (J.P.); (P.S.); (O.A.); (M.J.A.)
| | - Michael J. Atkinson
- Institute of Radiation Biology, Helmholtz Center Munich, German Research Center for Environmental Health GmbH, 85764 Neuherberg, Germany; (J.P.); (P.S.); (O.A.); (M.J.A.)
- Chair of Radiation Biology, Technical University of Munich, 80333 Munich, Germany
| | - Soile Tapio
- Institute of Radiation Biology, Helmholtz Center Munich, German Research Center for Environmental Health GmbH, 85764 Neuherberg, Germany; (J.P.); (P.S.); (O.A.); (M.J.A.)
- Correspondence: ; Tel.: +49-89-3187-3445
| |
Collapse
|