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Jakwerth CA, Weckmann M, Illi S, Charles H, Zissler UM, Oelsner M, Guerth F, Omony J, Nemani SSP, Grychtol R, Dittrich AM, Skevaki C, Foth S, Weber S, Alejandre Alcazar MA, van Koningsbruggen-Rietschel S, Brock R, Blau S, Hansen G, Bahmer T, Rabe KF, Brinkmann F, Kopp MV, Chaker AM, Schaub B, von Mutius E, Schmidt-Weber CB. 17q21 Variants Disturb Mucosal Host Defense in Childhood Asthma. Am J Respir Crit Care Med 2024; 209:947-959. [PMID: 38064241 DOI: 10.1164/rccm.202305-0934oc] [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: 05/30/2023] [Accepted: 12/07/2023] [Indexed: 03/13/2024] Open
Abstract
Rationale: The strongest genetic risk factor for childhood-onset asthma, the 17q21 locus, is associated with increased viral susceptibility and disease-promoting processes.Objectives: To identify biological targets underlying the escalated viral susceptibility associated with the clinical phenotype mediated by the 17q21 locus.Methods: Genome-wide transcriptome analysis of nasal brush samples from 261 children (78 healthy, 79 with wheezing at preschool age, 104 asthmatic) within the ALLIANCE (All-Age-Asthma) cohort, with a median age of 10.0 (range, 1.0-20.0) years, was conducted to explore the impact of their 17q21 genotype (SNP rs72163891). Concurrently, nasal secretions from the same patients and visits were collected, and high-sensitivity mesoscale technology was employed to measure IFN protein levels.Measurements and Main Results: This study revealed that the 17q21 risk allele induces a genotype- and asthma/wheeze phenotype-dependent enhancement of mucosal GSDMB expression as the only relevant 17q21-encoded gene in children with preschool wheeze. Increased GSDMB expression correlated with the activation of a type-1 proinflammatory, cell-lytic immune, and natural killer signature, encompassing key genes linked to an IFN type-2-signature (IFNG, CXCL9, CXCL10, KLRC1, CD8A, GZMA). Conversely, there was a reduction in IFN type 1 and type 3 expression signatures at the mRNA and protein levels.Conclusions: This study demonstrates a novel disease-driving mechanism induced by the 17q21 risk allele. Increased mucosal GSDMB expression is associated with a cell-lytic immune response coupled with compromised airway immunocompetence. These findings suggest that GSDMB-related airway cell death and perturbations in the mucosal IFN signature account for the increased vulnerability of 17q21 risk allele carriers to respiratory viral infections during early life, opening new options for future biological interventions.The All-Age-Asthma (ALLIANCE) cohort is registered at www.clinicaltrials.gov (pediatric arm, NCT02496468).
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Affiliation(s)
- Constanze A Jakwerth
- Center of Allergy and Environment (ZAUM), Technical University and Helmholtz Center Munich, Munich, Germany
- Member of the German Center for Lung Research (DZL), Germany
| | - Markus Weckmann
- Member of the German Center for Lung Research (DZL), Germany
- Division of Epigenetics in Chronic Lung Disease, Priority Area Chronic Lung Diseases, Research Center Borstel-Leibniz Lung Center, Borstel, Germany
- Department of Pediatric Pneumology and Allergology, University Medical Center Schleswig-Holstein, Lübeck, Germany
- Airway Research Center North, Borstel, Lübeck, Kiel, Grosshansdorf, Germany
| | - Sabina Illi
- Member of the German Center for Lung Research (DZL), Germany
- Institute for Asthma and Allergy Prevention, Helmholtz Center Munich, German Research Center for Environmental Health, Munich, Germany
- Comprehensive Pneumology Center-Munich, Munich, Germany
| | - Helen Charles
- Center of Allergy and Environment (ZAUM), Technical University and Helmholtz Center Munich, Munich, Germany
- Member of the German Center for Lung Research (DZL), Germany
| | - Ulrich M Zissler
- Center of Allergy and Environment (ZAUM), Technical University and Helmholtz Center Munich, Munich, Germany
- Member of the German Center for Lung Research (DZL), Germany
| | - Madlen Oelsner
- Center of Allergy and Environment (ZAUM), Technical University and Helmholtz Center Munich, Munich, Germany
- Member of the German Center for Lung Research (DZL), Germany
| | - Ferdinand Guerth
- Center of Allergy and Environment (ZAUM), Technical University and Helmholtz Center Munich, Munich, Germany
- Member of the German Center for Lung Research (DZL), Germany
| | - Jimmy Omony
- Member of the German Center for Lung Research (DZL), Germany
- Institute for Asthma and Allergy Prevention, Helmholtz Center Munich, German Research Center for Environmental Health, Munich, Germany
- Comprehensive Pneumology Center-Munich, Munich, Germany
| | - Sai Sneha Priya Nemani
- Member of the German Center for Lung Research (DZL), Germany
- Department of Pediatric Pneumology and Allergology, University Medical Center Schleswig-Holstein, Lübeck, Germany
- Airway Research Center North, Borstel, Lübeck, Kiel, Grosshansdorf, Germany
| | - Ruth Grychtol
- Member of the German Center for Lung Research (DZL), Germany
- Department of Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hanover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover, Hanover, Germany
| | - Anna-Maria Dittrich
- Member of the German Center for Lung Research (DZL), Germany
- Department of Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hanover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover, Hanover, Germany
| | - Chrysanthi Skevaki
- Member of the German Center for Lung Research (DZL), Germany
- Institute of Laboratory Medicine and Pathobiochemistry, Molecular Diagnostics and
| | - Svenja Foth
- Member of the German Center for Lung Research (DZL), Germany
- Universities of Giessen and Marburg Lung Center, Philipps University Marburg and University Children's Hospital Marburg, University of Marburg, Marburg, Germany
| | - Stefanie Weber
- Member of the German Center for Lung Research (DZL), Germany
- Universities of Giessen and Marburg Lung Center, Philipps University Marburg and University Children's Hospital Marburg, University of Marburg, Marburg, Germany
| | - Miguel A Alejandre Alcazar
- Member of the German Center for Lung Research (DZL), Germany
- Institute for Lung Health and Cardio-Pulmonary Institute, Universities of Giessen and Marburg Lung Center, Giessen, Germany
- Translational Experimental Pediatrics, Experimental Pulmonology, Department of Pediatrics
- Center for Molecular Medicine Cologne and Cologne Excellence Cluster on Stress Responses in Aging-associated Diseases, and
- Pediatric Pulmonology and Allergology, Department of Pediatrics, Faculty of Medicine, University of Cologne and University Hospital Cologne, Cologne, Germany; and
| | - Silke van Koningsbruggen-Rietschel
- Member of the German Center for Lung Research (DZL), Germany
- Pediatric Pulmonology and Allergology, Department of Pediatrics, Faculty of Medicine, University of Cologne and University Hospital Cologne, Cologne, Germany; and
| | - Robert Brock
- Member of the German Center for Lung Research (DZL), Germany
- Pediatric Pulmonology and Allergology, Department of Pediatrics, Faculty of Medicine, University of Cologne and University Hospital Cologne, Cologne, Germany; and
| | - Samira Blau
- Member of the German Center for Lung Research (DZL), Germany
- Pediatric Pulmonology and Allergology, Department of Pediatrics, Faculty of Medicine, University of Cologne and University Hospital Cologne, Cologne, Germany; and
| | - Gesine Hansen
- Member of the German Center for Lung Research (DZL), Germany
- Department of Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hanover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover, Hanover, Germany
- Cluster of Excellence 2115 (RESIST), Hannover Medical School, Hanover, Germany
| | - Thomas Bahmer
- Member of the German Center for Lung Research (DZL), Germany
- Airway Research Center North, Borstel, Lübeck, Kiel, Grosshansdorf, Germany
- Internal Medicine Department I, University Hospital Schleswig-Holstein-Campus Kiel, Kiel, Germany
| | - Klaus F Rabe
- Member of the German Center for Lung Research (DZL), Germany
- Airway Research Center North, Borstel, Lübeck, Kiel, Grosshansdorf, Germany
- LungenClinic Grosshansdorf GmbH and Medical Clinics, Christian Albrechts University, Kiel, Germany
| | - Folke Brinkmann
- Member of the German Center for Lung Research (DZL), Germany
- Division of Epigenetics in Chronic Lung Disease, Priority Area Chronic Lung Diseases, Research Center Borstel-Leibniz Lung Center, Borstel, Germany
- Department of Pediatric Pneumology and Allergology, University Medical Center Schleswig-Holstein, Lübeck, Germany
- Airway Research Center North, Borstel, Lübeck, Kiel, Grosshansdorf, Germany
| | - Matthias Volkmar Kopp
- Department of Pediatric Pneumology and Allergology, University Medical Center Schleswig-Holstein, Lübeck, Germany
- Pediatric Respiratory Medicine, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Airway Research Center North, Borstel, Lübeck, Kiel, Grosshansdorf, Germany
| | - Adam M Chaker
- Center of Allergy and Environment (ZAUM), Technical University and Helmholtz Center Munich, Munich, Germany
- Department of Otorhinolaryngology and Head and Neck Surgery, Medical School, Technical University of Munich, Munich, Germany
| | - Bianca Schaub
- Member of the German Center for Lung Research (DZL), Germany
- Dr. von Hauner Children's Hospital, Ludwig Maximilians University, Munich, Germany
- Comprehensive Pneumology Center-Munich, Munich, Germany
| | - Erika von Mutius
- Member of the German Center for Lung Research (DZL), Germany
- Institute for Asthma and Allergy Prevention, Helmholtz Center Munich, German Research Center for Environmental Health, Munich, Germany
- Dr. von Hauner Children's Hospital, Ludwig Maximilians University, Munich, Germany
| | - Carsten B Schmidt-Weber
- Center of Allergy and Environment (ZAUM), Technical University and Helmholtz Center Munich, Munich, Germany
- Member of the German Center for Lung Research (DZL), Germany
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2
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Maison N, Omony J, Rinderknecht S, Kolberg L, Meyer-Bühn M, von Mutius E, Hübner J, von Both U. Old foes following news ways?-Pandemic-related changes in the epidemiology of viral respiratory tract infections. Infection 2024; 52:209-218. [PMID: 37644253 PMCID: PMC10811157 DOI: 10.1007/s15010-023-02085-w] [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: 05/25/2023] [Accepted: 08/13/2023] [Indexed: 08/31/2023]
Abstract
INTRODUCTION Following lockdown periods and restricting public health measures in response to the COVID-19 pandemic, respiratory tract infections (RTIs) rose significantly worldwide. This led to an increased burden on children's hospitals compromising medical care of acutely and chronically ill children. We characterized changes in the epidemiological pattern of circulating respiratory viral infections. METHODS We assessed the number of patients with RTIs and the annual distribution of virus detections between 2019 and 2022 based on 4809 clinical samples (4131 patients) from a German pediatric tertiary care-center. We investigated the impact of lockdown periods on spectra of circulating respiratory viruses, pattern of coinfections, age, and seasonality of infections. RESULTS A fourfold increase in the number of respiratory virus detections was observed in 2022 vs 2019 with numbers doubling in 2022 (vs 2021). In 2022, seasonal patterns of circulating virus, particularly Adeno and seasonal Coronavirus were far less pronounced compared to previous years, in fact almost disappeared for Rhinoviruses.". SARS-CoV-2, Parainfluenza- and human Metapneumovirus detections increased significantly in 2022 (2019 vs 2022, p < 0.01). Coinfections with multiple viruses occurred more frequently since 2021 compared to pre-pandemic years, especially in younger children (2019 vs 2022, p < 0.01). CONCLUSION Compared to pre-pandemic years, we observed a dramatic increase in pediatric RTIs with an incrementing spectrum of viruses and a predominance in Rhino/Enterovirus infections - leading to a high rate of hospital admissions, particularly in conjunction with other viruses. This caused an acute shortage in medical care and may also be followed by an increase of virus-triggered secondary chronic respiratory diseases like asthma-rendering a burden on the health system.
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Affiliation(s)
- Nicole Maison
- Department for Asthma and Allergy, Dr Von Hauner Children's Hospital, LMU University Hospital, LMU Munich, Lindwurmstr. 4, 80337, Munich, Germany.
- Institute for Asthma- and Allergy Prevention (IAP), Helmholtz Zentrum Munich, German Research Center for Environmental Health (GmbH), Munich, Germany.
- German Center for Lung Research (DZL), Munich, Germany.
| | - Jimmy Omony
- Institute for Asthma- and Allergy Prevention (IAP), Helmholtz Zentrum Munich, German Research Center for Environmental Health (GmbH), Munich, Germany
| | - Sophia Rinderknecht
- Department for Asthma and Allergy, Dr Von Hauner Children's Hospital, LMU University Hospital, LMU Munich, Lindwurmstr. 4, 80337, Munich, Germany
| | - Laura Kolberg
- Department of Infectious Diseases, Dr Von Hauner Children's Hospital, LMU University Hospital, LMU, Munich, Germany
| | - Melanie Meyer-Bühn
- Department of Infectious Diseases, Dr Von Hauner Children's Hospital, LMU University Hospital, LMU, Munich, Germany
| | - Erika von Mutius
- Department for Asthma and Allergy, Dr Von Hauner Children's Hospital, LMU University Hospital, LMU Munich, Lindwurmstr. 4, 80337, Munich, Germany
- Institute for Asthma- and Allergy Prevention (IAP), Helmholtz Zentrum Munich, German Research Center for Environmental Health (GmbH), Munich, Germany
- German Center for Lung Research (DZL), Munich, Germany
| | - Johannes Hübner
- Department of Infectious Diseases, Dr Von Hauner Children's Hospital, LMU University Hospital, LMU, Munich, Germany
| | - Ulrich von Both
- Department of Infectious Diseases, Dr Von Hauner Children's Hospital, LMU University Hospital, LMU, Munich, Germany
- German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany
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3
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Dallmeyer LK, Schüz ML, Fragkou PC, Omony J, Krumbein H, Dimopoulou D, Dimopoulou K, Skevaki C. Epidemiology of respiratory viruses among children during the SARS-CoV-2 pandemic: A systematic review and meta-analysis. Int J Infect Dis 2024; 138:10-18. [PMID: 37951460 DOI: 10.1016/j.ijid.2023.10.023] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 10/03/2023] [Accepted: 10/30/2023] [Indexed: 11/14/2023] Open
Abstract
OBJECTIVE This meta-analysis aimed to assess the prevalence of respiratory viruses among children under the special conditions of the COVID-19 pandemic. METHODS Five databases were systematically searched to assess the pooled prevalence of various respiratory viruses in different age groups, regions, seasons, and in patients with and without confirmed SARS-CoV-2 coinfection. Moreover, we looked at the virus distribution in the first and second half of the pandemic and countries with distinct economic status. Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines were followed, and the systematic review was registered on PROSPERO (CRD42022379297). RESULTS Enterovirus/rhinovirus and human respiratory syncytial virus (HRSV) were the most prevalent pathogens among children. The prevalence of HRSV increased in the second half of the pandemic. The prevailing viruses vary according to the SARS-CoV-2-coinfection status, season, region, and country´s economic status. CONCLUSION This meta-analysis shows the epidemiology of respiratory viruses other than SARS-CoV-2 in children aged 0 to 12 years during the COVID-19 pandemic. Because major events, such as a pandemic, can alter epidemiology patterns, it is important to know them to improve health education measures, develop vaccines and medicines for vulnerable groups, as a guide for prevention strategies, and help with clinical decisions.
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Affiliation(s)
- Leonie K Dallmeyer
- Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Centre (UGMLC), Philipps University of Marburg, German Centre for LUNG Research (DZL), Marburg, Germany
| | - Marit L Schüz
- Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Centre (UGMLC), Philipps University of Marburg, German Centre for LUNG Research (DZL), Marburg, Germany
| | - Paraskevi C Fragkou
- First Department of Critical Care Medicine & Pulmonary Services, Evangelismos General Hospital, National and Kapodistrian University of Athens, Athens, Greece; European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Respiratory Viruses (ESGREV)
| | - Jimmy Omony
- Institute for Asthma and Allergy Prevention (IAP), Helmholtz Zentrum Munich, German Research Centre for Environmental Health (GmbH), Munich, Germany
| | - Hanna Krumbein
- Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Centre (UGMLC), Philipps University of Marburg, German Centre for LUNG Research (DZL), Marburg, Germany
| | - Dimitra Dimopoulou
- European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Respiratory Viruses (ESGREV); Second Department of Pediatrics, "Aghia Sophia" Children´s Hospital, Athens, Greece
| | | | - Chrysanthi Skevaki
- Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Centre (UGMLC), Philipps University of Marburg, German Centre for LUNG Research (DZL), Marburg, Germany; European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Respiratory Viruses (ESGREV).
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4
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Schüz ML, Dallmeyer L, Fragkou PC, Omony J, Krumbein H, Hünerbein BL, Skevaki C. Global prevalence of respiratory virus infections in adults and adolescents during the COVID-19 pandemic: A systematic review and meta-analysis. Int J Infect Dis 2023; 137:16-24. [PMID: 37806653 DOI: 10.1016/j.ijid.2023.10.001] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 10/02/2023] [Accepted: 10/03/2023] [Indexed: 10/10/2023] Open
Abstract
OBJECTIVES Since the beginning of the COVID-19 pandemic, efforts have been made to contain the spread of the virus. However, the epidemiological burden of other respiratory viruses during the pandemic is unclear. We aim to address the epidemiology of respiratory viruses on adults/adolescents since the beginning of the pandemic. METHODS We systematically searched five databases and performed a meta-analysis to explore the pooled prevalence of respiratory viruses in different geographical regions, age groups, and periods and compared the prevalence between COVID-19 cases and non-COVID-19 patients. RESULTS Enteroviruses/rhinoviruses were highly prevalent compared to other viruses. Different viruses were dominant in different regions. No significant differences in prevalence were found between different age groups, except for human metapneumovirus. There was an increase in prevalence of non-SARS-CoV-2 viruses in the second half of the pandemic (July 2021-December 2022). Comparison of COVID-19 and non-COVID patients showed a higher prevalence in the non-COVID group, significant for influenza, seasonal coronaviruses, and human parainfluenza viruses. CONCLUSION Our findings indicate that enteroviruses/rhinoviruses were less impacted by healthcare measures compared with other respiratory viruses. The relaxation of measures in the second half led to an increased pooled prevalence of infections. Several factors may explain the lower prevalence among individuals infected with COVID-19.
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Affiliation(s)
- Marit L Schüz
- Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Centre (UGMLC), Philipps University of Marburg, German Centre for LUNG Research (DZL), Marburg, Germany
| | - Leonie Dallmeyer
- Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Centre (UGMLC), Philipps University of Marburg, German Centre for LUNG Research (DZL), Marburg, Germany
| | - Paraskevi C Fragkou
- First Department of Critical Care Medicine & Pulmonary Services, Evangelismos General Hospital, National and Kapodistrian University of Athens, Athens, Greece; European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Respiratory Viruses (ESGREV), Basel, Switzerland
| | - Jimmy Omony
- Institute for Asthma and Allergy Prevention (IAP), Helmholtz Zentrum Munich, German research Centre for Environmental Health (GmbH), Munich, Germany
| | - Hanna Krumbein
- Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Centre (UGMLC), Philipps University of Marburg, German Centre for LUNG Research (DZL), Marburg, Germany
| | - Ben L Hünerbein
- Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Centre (UGMLC), Philipps University of Marburg, German Centre for LUNG Research (DZL), Marburg, Germany
| | - Chrysanthi Skevaki
- Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Centre (UGMLC), Philipps University of Marburg, German Centre for LUNG Research (DZL), Marburg, Germany; European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Respiratory Viruses (ESGREV), Basel, Switzerland.
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5
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Fragkou PC, De Angelis G, Menchinelli G, Can F, Garcia F, Morfin-Sherpa F, Dimopoulou D, Dimopoulou K, Zelli S, de Salazar A, Reiter R, Janocha H, Grossi A, Omony J, Skevaki C. Update of ESCMID COVID-19 guidelines: diagnostic testing for SARS-CoV-2. Clin Microbiol Infect 2023:S1198-743X(23)00192-1. [PMID: 37088423 PMCID: PMC10122552 DOI: 10.1016/j.cmi.2023.04.019] [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: 02/01/2023] [Revised: 04/13/2023] [Accepted: 04/16/2023] [Indexed: 04/25/2023]
Abstract
SCOPE Since the onset of coronavirus disease 2019 (COVID-19), several assays have been deployed for the diagnosis of SARS-CoV-2. The European Society of Clinical Microbiology and Infectious Diseases (ESCMID) published the first set of guidelines on SARS-CoV-2 in-vitro diagnosis in February 2022. Since the COVID-19 landscape is rapidly evolving, the relevant ESCMID guidelines panel releases an update of the previously published recommendations on diagnostic testing for SARS-CoV-2. This update aims to delineate the best diagnostic approach for SARS-CoV-2 in different populations based on current evidence. METHODS An ESCMID COVID-19 guidelines task force was established by the ESCMID Executive Committee. A small group was established, half appointed by the chair, and the remaining selected with an open call. The panel met virtually once a week. For all decisions, a simple majority vote was used. A list of clinical questions using the PICO (population, intervention, comparison, and outcome) format was developed at the beginning of the process. For each PICO, two panel members performed a literature search focusing on systematic reviews with a third panellist involved in case of inconsistent results. The panel reassessed the PICOs previously defined as priority in the first set of guidelines and decided to address 49 PICO questions, as 6 of them were discarded as outdated/non-clinically relevant. The "Grading of Recommendations Assessment, Development and Evaluation(GRADE)-adoption, adaptation, and de novo development of recommendations (ADOLOPMENT)" evidence-to-decision framework was utilized to produce the guidelines. QUESTIONS ADDRESSED BY THE GUIDELINE AND RECOMMENDATIONS After literature search, we updated 16 PICO questions; these PICOs address the use of antigen-based assays among symptomatic and asymptomatic patients with different ages, COVID-19 severity status or risk for severe COVID-19, time since onset of symptoms/contact with an infectious case, and finally, types of biomaterials used.
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Affiliation(s)
- Paraskevi C Fragkou
- First Department of Critical Care Medicine & Pulmonary Services, Evangelismos General Hospital, National and Kapodistrian University of Athens, Athens, Greece; European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Respiratory Viruses (ESGREV)
| | - Giulia De Angelis
- European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Respiratory Viruses (ESGREV); Dipartimento di Scienze di Laboratorio e Infettivologiche, Fondazione Policlinico Universitario A. Gemelli IRCCS - 00168, Rome, Italy
| | - Giulia Menchinelli
- European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Respiratory Viruses (ESGREV); Dipartimento di Scienze di Laboratorio e Infettivologiche, Fondazione Policlinico Universitario A. Gemelli IRCCS - 00168, Rome, Italy; Dipartimento di Scienze Biotecnologiche di Base, Cliniche Intensivologiche e Perioperatorie, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Fusun Can
- European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Respiratory Viruses (ESGREV); Department of Medical Microbiology, Koc University School of Medicine, Istanbul, Turkey; Koc University IsBank Research Centre for Infectious Diseases (KUISCID), Istanbul, Turkey
| | - Federico Garcia
- European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Respiratory Viruses (ESGREV); Servicio de Microbiología Clínica. Hospital Universitario Clínico San Cecilio. Instituto de Investigación Biosanitaria, Ibs.GRANADA, Granada, Spain; Centro de Investigación Biomédicaen Red Enfermedades Infecciosas (CIBERINFEC), ISCIII, Madrid, Spain
| | - Florence Morfin-Sherpa
- European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Respiratory Viruses (ESGREV); Laboratory of Virology, Institut des Agents Infectieux, National Reference Centre for respiratory viruses, Hospices Civils de Lyon, Université Claude Bernard Lyon1, Lyon, France
| | - Dimitra Dimopoulou
- European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Respiratory Viruses (ESGREV); Second Department of Paediatrics, "P. and A. Kyriakou" Children's Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | | | - Silvia Zelli
- Dipartimento di Scienze di Laboratorio e Infettivologiche, Fondazione Policlinico Universitario A. Gemelli IRCCS - 00168, Rome, Italy
| | - Adolfo de Salazar
- Servicio de Microbiología Clínica. Hospital Universitario Clínico San Cecilio. Instituto de Investigación Biosanitaria, Ibs.GRANADA, Granada, Spain; Centro de Investigación Biomédicaen Red Enfermedades Infecciosas (CIBERINFEC), ISCIII, Madrid, Spain
| | - Rieke Reiter
- Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Centre (UGMLC), Philipps University Marburg, German Centre for Lung Research (DZL), Marburg, Germany
| | - Hannah Janocha
- Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Centre (UGMLC), Philipps University Marburg, German Centre for Lung Research (DZL), Marburg, Germany
| | | | - Jimmy Omony
- Institute for Asthma and Allergy Prevention (IAP), Helmholtz Zentrum Munich, German Research Centre for Environmental Health (GmbH), Munich, Germany
| | - Chrysanthi Skevaki
- European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Respiratory Viruses (ESGREV); Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Centre (UGMLC), Philipps University Marburg, German Centre for Lung Research (DZL), Marburg, Germany.
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6
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Maison N, Omony J, Illi S, Thiele D, Skevaki C, Dittrich AM, Bahmer T, Rabe KF, Weckmann M, Happle C, Schaub B, Meyer M, Foth S, Rietschel E, Renz H, Kopp MV, Hansen G, von Mutius E, Grychtol R. T2-high asthma across all ages – comparative analysis in
children and adults from the ALLIANCE cohort. Klinische Pädiatrie 2022. [DOI: 10.1055/s-0042-1754451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- N Maison
- Dr von Hauner Children's Hospital, Ludwig Maximilians
University, Asthma and Allergy, Munich, Germany
- Helmholtz Zentrum Munich, Institute for Asthma- and Allergy Prevention
(IAP), Munich, Germany
- Comprehensive Pneumology Center – Munich (CPC-M); Member of
German Center for Lung Research (DZL), Munich, Germany
| | - J Omony
- Helmholtz Zentrum Munich, Institute for Asthma- and Allergy Prevention
(IAP), Munich, Germany
- Comprehensive Pneumology Center – Munich (CPC-M); Member of
German Center for Lung Research (DZL), Munich, Germany
| | - S Illi
- Helmholtz Zentrum Munich, Institute for Asthma- and Allergy Prevention
(IAP), Munich, Germany
- Comprehensive Pneumology Center – Munich (CPC-M); Member of
German Center for Lung Research (DZL), Munich, Germany
| | - D Thiele
- University Medical Center Schleswig-Holstein, Institute of Medical
Biometry and Statistics (IMBS), Luebeck, Germany
- Airway Research Center North (ARCN), Member of the German Center for
Lung Research (DZL), Luebeck, Germany
| | - C Skevaki
- Institute of Laboratory Medicine and Pathobiochemistry,
Philipps-University Marburg, Molecular Diagnostics, Marburg,
Germany
- Universities of Giessen and Marburg Lung Center (UGMLC), Philipps
University Marburg, German Center for Lung Research (DZL), Marburg,
Germany
| | - A-M Dittrich
- Hannover Medical School, Department of Paediatric Pneumology,
Allergology and Neonatology, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease (BREATH);
Member of the German Center for Lung Research (DZL), Hannover,
Germany
| | - T Bahmer
- LungenClinic Grosshansdorf GmbH, Grosshansdorf, Germany
- Airway Research Center North (ARCN), Member of the German Center for
Lung Research (DZL), Grosshansdorf, Germany
- University Hospital Schleswig-Holstein, Campus Kiel, Internal Medicine
Department I, Pneumology, Kiel, Germany
| | - KF Rabe
- LungenClinic Grosshansdorf GmbH, Grosshansdorf, Germany
- Airway Research Center North (ARCN), Member of the German Center for
Lung Research (DZL), Grosshansdorf, Germany
| | - M Weckmann
- University Medical Center Schleswig-Holstein, Division of Paediatric
Pneumology and Allergology, Luebeck, Germany
- Airway Research Center North (ARCN), Member of the German Center for
Lung Research (DZL), Luebeck, Germany
| | - C Happle
- Hannover Medical School, Department of Paediatric Pneumology,
Allergology and Neonatology, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease (BREATH);
Member of the German Center for Lung Research (DZL), Hannover,
Germany
| | - B Schaub
- Dr von Hauner Children's Hospital, Ludwig Maximilians
University, Asthma and Allergy, Munich, Germany
- Comprehensive Pneumology Center – Munich (CPC-M); Member of
German Center for Lung Research (DZL), Munich, Germany
| | - M Meyer
- University Children's Hospital, University of Cologne, Cologne,
Germany
| | - S Foth
- University Children’s Hospital Marburg, University of Marburg,
Marburg, Germany
- Universities of Giessen and Marburg Lung Center (UGMLC), Philipps
University Marburg, German Center for Lung Research (DZL), Marburg,
Germany
| | - E Rietschel
- University Children's Hospital, University of Cologne, Cologne,
Germany
| | - H Renz
- Institute of Laboratory Medicine and Pathobiochemistry,
Philipps-University Marburg, Molecular Diagnostics, Marburg,
Germany
- Universities of Giessen and Marburg Lung Center (UGMLC), Philipps
University Marburg, German Center for Lung Research (DZL), Marburg,
Germany
| | - MV Kopp
- University Children's Hospital, University of Bern, Department
of Paediatric Respiratory Medicine, Bern, Switzerland
- Airway Research Center North (ARCN), Member of the German Center for
Lung Research (DZL), Luebeck, Germany
- University Medical Center Schleswig-Holstein, Division of Paediatric
Pneumology and Allergology, Luebeck, Germany
| | - G Hansen
- Hannover Medical School, Department of Paediatric Pneumology,
Allergology and Neonatology, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease (BREATH);
Member of the German Center for Lung Research (DZL), Hannover,
Germany
| | - E von Mutius
- Dr von Hauner Children's Hospital, Ludwig Maximilians
University, Asthma and Allergy, Munich, Germany
- Helmholtz Zentrum Munich, Institute for Asthma- and Allergy Prevention
(IAP), Munich, Germany
- Comprehensive Pneumology Center – Munich (CPC-M); Member of
German Center for Lung Research (DZL), Munich, Germany
| | - R Grychtol
- Hannover Medical School, Department of Paediatric Pneumology,
Allergology and Neonatology, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease (BREATH);
Member of the German Center for Lung Research (DZL), Hannover,
Germany
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Maison N, Omony J, Illi S, Thiele D, Skevaki C, Dittrich AM, Bahmer T, Rabe KF, Weckmann M, Happle C, Schaub B, Meier M, Foth S, Rietschel E, Renz H, Hansen G, Kopp MV, von Mutius E, Grychtol R. T-high asthma phenotypes across life span. Eur Respir J 2022; 60:13993003.02288-2021. [PMID: 35210326 DOI: 10.1183/13993003.02288-2021] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 02/04/2022] [Indexed: 11/05/2022]
Abstract
RATIONALE In adults, personalised asthma treatment targets patients with T2-high and eosinophilic asthma phenotypes. It is unclear whether such classification is achievable in children. OBJECTIVES To define T2-high asthma with easily accessible biomarkers and compare resulting phenotypes across all ages. METHODS In the multicenter clinical ALL Age Asthma Cohort (ALLIANCE), 1125 participants (n=776 asthmatics, n=349 controls) were recruited and followed for 2 years (1 year in adults). Extensive clinical characterisation (questionnaires, blood differential count, allergy testing, lung function and sputum induction (in adults) was performed at baseline and follow-ups. Interleukin (IL)-4, IL-5 and IL-13 were measured after stimulation of whole blood with LPS or anti-CD3/CD28. MEASUREMENTS AND MAIN RESULTS Based on blood eosinophil counts and allergen-specific serum IgE antibodies (sIgE), patients were categorised into four mutually exclusive phenotypes: "Atopy-only", "Eosinophils-only", "T2-high" (eosinophilia+atopy) and "T2-low" (neither eosinophilia nor atopy). The T2-high phenotype was found across all ages, even in very young children in whom it persisted to a large degree even after 2 years of follow-up. T2-high asthma in adults was associated with childhood onset suggesting early origins of this asthma phenotype. In both children and adults, the T2-high phenotype was characterised by excessive production of specific IgE to allergens (p<0.0001) and, from school age onwards, by increased production of IL-5 after anti-CD3/CD28 stimulation of whole blood. CONCLUSIONS Using easily accessible biomarkers, patients with T2-high asthma can be identified across all ages delineating a distinct phenotype. These patients may benefit from therapy with biologicals even at younger age.
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Affiliation(s)
- Nicole Maison
- Institute for Asthma- and Allergy Prevention (IAP), Helmholtz Zentrum Munich, German Research Center for Environmental Health (GmbH), Munich, Germany.,Dr von Hauner Children's Hospital, Ludwig Maximilians University, Munich, Germany.,Comprehensive Pneumology Center - Munich (CPC-M; Member of German Center for Lung Research (DZL), Munich, Germany
| | - Jimmy Omony
- Institute for Asthma- and Allergy Prevention (IAP), Helmholtz Zentrum Munich, German Research Center for Environmental Health (GmbH), Munich, Germany.,Comprehensive Pneumology Center - Munich (CPC-M; Member of German Center for Lung Research (DZL), Munich, Germany
| | - Sabina Illi
- Institute for Asthma- and Allergy Prevention (IAP), Helmholtz Zentrum Munich, German Research Center for Environmental Health (GmbH), Munich, Germany.,Comprehensive Pneumology Center - Munich (CPC-M; Member of German Center for Lung Research (DZL), Munich, Germany
| | - Dominik Thiele
- Institute of Medical Biometry and Statistics (IMBS), University Medical Center Schleswig-Holstein, Luebeck, Germany.,Airway Research Center North (ARCN), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Chrysanthi Skevaki
- Institute of Laboratory Medicine and Pathobiochemistry, Molecular Diagnostics, Philipps-University Marburg, Marburg, Germany.,Universities of Giessen and Marburg Lung Center (UGMLC), Philipps University Marburg, German Center for Lung Research (DZL), Marburg, Germany
| | - Anna-Maria Dittrich
- Department of Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH); Member of the German Center for Lung Research (DZL), Hannover, Germany
| | - Thomas Bahmer
- University Hospital Schleswig-Holstein, Campus Kiel, Internal Medicine Department I, Pneumology, Kiel, Germany.,LungenClinic Grosshansdorf GmbH, Grosshansdorf, Germany.,Airway Research Center North (ARCN), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Klaus Friedrich Rabe
- LungenClinic Grosshansdorf GmbH, Grosshansdorf, Germany.,Airway Research Center North (ARCN), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Markus Weckmann
- Division of Pediatric Pneumology and Allergology, University Medical Center Schleswig-Holstein, Luebeck, Germany.,Airway Research Center North (ARCN), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Christine Happle
- Department of Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH); Member of the German Center for Lung Research (DZL), Hannover, Germany
| | - Bianca Schaub
- Dr von Hauner Children's Hospital, Ludwig Maximilians University, Munich, Germany.,Comprehensive Pneumology Center - Munich (CPC-M; Member of German Center for Lung Research (DZL), Munich, Germany
| | - Meike Meier
- Faculty of Medicine, University Children's Hospital, University of Cologne, Cologne, Germany
| | - Svenja Foth
- Universities of Giessen and Marburg Lung Center (UGMLC), Philipps University Marburg, German Center for Lung Research (DZL), Marburg, Germany.,University Children's Hospital Marburg, University of Marburg, Marburg, Germany
| | - Ernst Rietschel
- Faculty of Medicine, University Children's Hospital, University of Cologne, Cologne, Germany
| | - Harald Renz
- Institute of Laboratory Medicine and Pathobiochemistry, Molecular Diagnostics, Philipps-University Marburg, Marburg, Germany.,Universities of Giessen and Marburg Lung Center (UGMLC), Philipps University Marburg, German Center for Lung Research (DZL), Marburg, Germany.,Department of Clinical Immunology and Allergology, Sechenov University, Moscow, Russia
| | - Gesine Hansen
- Department of Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH); Member of the German Center for Lung Research (DZL), Hannover, Germany
| | - Matthias Volkmar Kopp
- Division of Pediatric Pneumology and Allergology, University Medical Center Schleswig-Holstein, Luebeck, Germany.,Airway Research Center North (ARCN), Member of the German Center for Lung Research (DZL), Munich, Germany.,Department of Pediatric Respiratory Medicine, Inselspital, University Children's Hospital of Bern, University of Bern, Bern, Switzerland
| | - Erika von Mutius
- Institute for Asthma- and Allergy Prevention (IAP), Helmholtz Zentrum Munich, German Research Center for Environmental Health (GmbH), Munich, Germany .,Dr von Hauner Children's Hospital, Ludwig Maximilians University, Munich, Germany.,Comprehensive Pneumology Center - Munich (CPC-M; Member of German Center for Lung Research (DZL), Munich, Germany
| | - Ruth Grychtol
- Department of Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH); Member of the German Center for Lung Research (DZL), Hannover, Germany
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8
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Maison N, Herbrüggen H, Schaub B, Schauberger C, Foth S, Grychtol R, Abdo M, Watz H, Nikolaizik W, Rabe KF, Kopp MV, Hansen G, von Mutius E, Bahmer T, Omony J. Impact of imposed social isolation and use of face masks on asthma course and mental health in pediatric and adult patients with recurrent wheeze and asthma. Allergy Asthma Clin Immunol 2021; 17:93. [PMID: 34530911 PMCID: PMC8444172 DOI: 10.1186/s13223-021-00592-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 08/27/2021] [Indexed: 11/10/2022] Open
Abstract
Background There is currently a dramatic increase in the number of COVID-19 cases worldwide, and further drastic restrictions in our daily life will be necessary to contain this pandemic. The implications of restrictive measures like social-distancing and mouth-nose protection on patients with chronic respiratory diseases have hardly been investigated. Methods Our survey, was conducted within the All Age Asthma Cohort (ALLIANCE), a multicenter longitudinal observational study. We assessed the effects of COVID-19 imposed social isolation and use of facial masks, on asthma course and mental health in patients with asthma and wheezing. Results We observed a high rate of problems associated with using facemasks and a significant reduction in the use of routine medical care. In addition to unsettling impacts, such as an increase in depression symptoms in adults, an astonishing and pleasing effect was striking: preschool children experienced an improvement in disease condition during the lockdown. This improvement can be attributed to a significant reduction in exposure to viral infections. Conclusion Long-term observation of this side effect may help improve our understanding of the influence of viral infections on asthma in early childhood.
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Affiliation(s)
- Nicole Maison
- Department of Paediatric Allergology, Dr Von Hauner Children's Hospital, Ludwig Maximilians University, Munich, Germany. .,Comprehensive Pneumology Center, Munich (CPC-M), Munich, Germany. .,German Center for Lung Research (DZL), Munich, Germany. .,Institut Für Asthma- Und Allergieprävention (IAP), Helmholtz Zentrum Munich, Deutsches Forschungszentrum Für Gesundheit Und Umwelt (GmbH), Munich, Germany.
| | - Heidrun Herbrüggen
- German Center for Lung Research (DZL), Munich, Germany.,LungenClinic Grosshansdorf GmbH, Grosshansdorf, Germany.,Airway Research Center North (ARCN), Grosshansdorf, Germany
| | - Bianca Schaub
- Department of Paediatric Allergology, Dr Von Hauner Children's Hospital, Ludwig Maximilians University, Munich, Germany.,Comprehensive Pneumology Center, Munich (CPC-M), Munich, Germany.,German Center for Lung Research (DZL), Munich, Germany
| | - Christina Schauberger
- Department of Paediatric Allergology, Dr Von Hauner Children's Hospital, Ludwig Maximilians University, Munich, Germany.,Comprehensive Pneumology Center, Munich (CPC-M), Munich, Germany.,German Center for Lung Research (DZL), Munich, Germany
| | - Svenja Foth
- German Center for Lung Research (DZL), Munich, Germany.,University Children's Hospital Marburg, University of Marburg, Marburg, Germany.,University of Giessen Marburg Lung Center (UGMLC), Giessen, Germany
| | - Ruth Grychtol
- German Center for Lung Research (DZL), Munich, Germany.,Department of Paediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Hannover, Germany
| | - Mustafa Abdo
- German Center for Lung Research (DZL), Munich, Germany.,LungenClinic Grosshansdorf GmbH, Grosshansdorf, Germany.,Airway Research Center North (ARCN), Grosshansdorf, Germany
| | - Henrik Watz
- German Center for Lung Research (DZL), Munich, Germany.,Airway Research Center North (ARCN), Grosshansdorf, Germany.,Pulmonary Research Institute at LungenClinic Grosshansdorf, Grosshansdorf, Germany
| | - Wilfried Nikolaizik
- German Center for Lung Research (DZL), Munich, Germany.,University Children's Hospital Marburg, University of Marburg, Marburg, Germany.,University of Giessen Marburg Lung Center (UGMLC), Giessen, Germany
| | - Klaus F Rabe
- German Center for Lung Research (DZL), Munich, Germany.,LungenClinic Grosshansdorf GmbH, Grosshansdorf, Germany.,Airway Research Center North (ARCN), Grosshansdorf, Germany
| | - Matthias V Kopp
- German Center for Lung Research (DZL), Munich, Germany.,Airway Research Center North (ARCN), Grosshansdorf, Germany.,Institute for Medical Biometry and Statistics, University Luebeck, University Medical Centre Schleswig-Holstein, Campus, Luebeck, Germany
| | - Gesine Hansen
- German Center for Lung Research (DZL), Munich, Germany.,Department of Paediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Hannover, Germany
| | - Erika von Mutius
- Department of Paediatric Allergology, Dr Von Hauner Children's Hospital, Ludwig Maximilians University, Munich, Germany.,Comprehensive Pneumology Center, Munich (CPC-M), Munich, Germany.,German Center for Lung Research (DZL), Munich, Germany.,Institut Für Asthma- Und Allergieprävention (IAP), Helmholtz Zentrum Munich, Deutsches Forschungszentrum Für Gesundheit Und Umwelt (GmbH), Munich, Germany
| | - Thomas Bahmer
- German Center for Lung Research (DZL), Munich, Germany.,LungenClinic Grosshansdorf GmbH, Grosshansdorf, Germany.,Airway Research Center North (ARCN), Grosshansdorf, Germany.,Internal Medicine Department I, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Jimmy Omony
- Institut Für Asthma- Und Allergieprävention (IAP), Helmholtz Zentrum Munich, Deutsches Forschungszentrum Für Gesundheit Und Umwelt (GmbH), Munich, Germany
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9
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Buerstmayr M, Wagner C, Nosenko T, Omony J, Steiner B, Nussbaumer T, Mayer KFX, Buerstmayr H. Fusarium head blight resistance in European winter wheat: insights from genome-wide transcriptome analysis. BMC Genomics 2021; 22:470. [PMID: 34167474 PMCID: PMC8228913 DOI: 10.1186/s12864-021-07800-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 06/07/2021] [Indexed: 12/24/2022] Open
Abstract
Background Fusarium head blight (FHB) is a devastating disease of wheat worldwide. Resistance to FHB is quantitatively controlled by the combined effects of many small to medium effect QTL. Flowering traits, especially the extent of extruded anthers, are strongly associated with FHB resistance. Results To characterize the genetic basis of FHB resistance, we generated and analyzed phenotypic and gene expression data on the response to Fusarium graminearum (Fg) infection in 96 European winter wheat genotypes, including several lines containing introgressions from the highly resistant Asian cultivar Sumai3. The 96 lines represented a broad range in FHB resistance and were assigned to sub-groups based on their phenotypic FHB severity score. Comparative analyses were conducted to connect sub-group-specific expression profiles in response to Fg infection with FHB resistance level. Collectively, over 12,300 wheat genes were Fusarium responsive. The core set of genes induced in response to Fg was common across different resistance groups, indicating that the activation of basal defense response mechanisms was largely independent of the resistance level of the wheat line. Fg-induced genes tended to have higher expression levels in more susceptible genotypes. Compared to the more susceptible non-Sumai3 lines, the Sumai3-derivatives demonstrated higher constitutive expression of genes associated with cell wall and plant-type secondary cell wall biogenesis and higher constitutive and Fg-induced expression of genes involved in terpene metabolism. Gene expression analysis of the FHB QTL Qfhs.ifa-5A identified a constitutively expressed gene encoding a stress response NST1-like protein (TraesCS5A01G211300LC) as a candidate gene for FHB resistance. NST1 genes are key regulators of secondary cell wall biosynthesis in anther endothecium cells. Whether the stress response NST1-like gene affects anther extrusion, thereby affecting FHB resistance, needs further investigation. Conclusion Induced and preexisting cell wall components and terpene metabolites contribute to resistance and limit fungal colonization early on. In contrast, excessive gene expression directs plant defense response towards programmed cell death which favors necrotrophic growth of the Fg pathogen and could thus lead to increased fungal colonization. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-021-07800-1.
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Affiliation(s)
- Maria Buerstmayr
- University of Natural Resources and Life Sciences, Austria, Department of Agrobiotechnology - IFA Tulln, Institute of Biotechnology in Plant Production, Konrad Lorenz Str 20, Tulln, Austria.
| | - Christian Wagner
- University of Natural Resources and Life Sciences, Austria, Department of Agrobiotechnology - IFA Tulln, Institute of Biotechnology in Plant Production, Konrad Lorenz Str 20, Tulln, Austria
| | - Tetyana Nosenko
- Helmholtz Zentrum München, Germany, PGSB Plant Genome and Systems Biology, German Research Center for Environmental Health, Neuherberg, Germany.,Helmholtz Zentrum München, Germany, Research Unit Environmental Simulation (EUS) at the Institute of Biochemical Plant Pathology (BIOP), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
| | - Jimmy Omony
- Helmholtz Zentrum München, Germany, PGSB Plant Genome and Systems Biology, German Research Center for Environmental Health, Neuherberg, Germany.,Helmholtz Zentrum München, Germany, Institut für Asthma- und Allergieprävention (IAP), Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Munich, Germany
| | - Barbara Steiner
- University of Natural Resources and Life Sciences, Austria, Department of Agrobiotechnology - IFA Tulln, Institute of Biotechnology in Plant Production, Konrad Lorenz Str 20, Tulln, Austria
| | - Thomas Nussbaumer
- Helmholtz Zentrum München, Germany, Institute of Network Biology (INET), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.,Helmholtz Zentrum München, Germany, Institute of Environmental Medicine UNIKA-T, Technical University and Helmholtz Zentrum München, Augsburg, Germany
| | - Klaus F X Mayer
- Helmholtz Zentrum München, Germany, PGSB Plant Genome and Systems Biology, German Research Center for Environmental Health, Neuherberg, Germany
| | - Hermann Buerstmayr
- University of Natural Resources and Life Sciences, Austria, Department of Agrobiotechnology - IFA Tulln, Institute of Biotechnology in Plant Production, Konrad Lorenz Str 20, Tulln, Austria
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10
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Omony J, Nussbaumer T, Gutzat R. DNA methylation analysis in plants: review of computational tools and future perspectives. Brief Bioinform 2020; 21:906-918. [PMID: 31220217 DOI: 10.1093/bib/bbz039] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [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: 10/25/2018] [Revised: 02/28/2019] [Accepted: 03/12/2019] [Indexed: 12/12/2022] Open
Abstract
Genome-wide DNA methylation studies have quickly expanded due to advances in next-generation sequencing techniques along with a wealth of computational tools to analyze the data. Most of our knowledge about DNA methylation profiles, epigenetic heritability and the function of DNA methylation in plants derives from the model species Arabidopsis thaliana. There are increasingly many studies on DNA methylation in plants-uncovering methylation profiles and explaining variations in different plant tissues. Additionally, DNA methylation comparisons of different plant tissue types and dynamics during development processes are only slowly emerging but are crucial for understanding developmental and regulatory decisions. Translating this knowledge from plant model species to commercial crops could allow the establishment of new varieties with increased stress resilience and improved yield. In this review, we provide an overview of the most commonly applied bioinformatics tools for the analysis of DNA methylation data (particularly bisulfite sequencing data). The performances of a selection of the tools are analyzed for computational time and agreement in predicted methylated sites for A. thaliana, which has a smaller genome compared to the hexaploid bread wheat. The performance of the tools was benchmarked on five plant genomes. We give examples of applications of DNA methylation data analysis in crops (with a focus on cereals) and an outlook for future developments for DNA methylation status manipulations and data integration.
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Affiliation(s)
- Jimmy Omony
- Plant Genome and Systems Biology, Helmholtz Center Munich-German Research Center for Environmental Health, Neuherberg, Germany
| | - Thomas Nussbaumer
- Institute of Network Biology, Department of Environmental Science, Helmholtz Center Munich, Neuherberg, Germany.,Institute of Environmental Medicine, UNIKA-T, Technical University of Munich and Helmholtz Center Munich, Research Center for Environmental Health, Augsburg, Germany; CK CARE Christine Kühne Center for Allergy Research and Education, Davos, Switzerland
| | - Ruben Gutzat
- Gregor Mendel Institute of Molecular Plant Biology, Austrian Academy of Sciences, Vienna BioCenter (VBC), Vienna, Austria
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11
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Nyoka R, Achia TNO, Omony J, Musili SM, Gichangi A, Mwambi H. Time series non-Gaussian Bayesian bivariate model applied to data on HMPV and RSV: a case of Dadaab in Kenya. BMC Public Health 2019; 19:807. [PMID: 31234829 PMCID: PMC6591850 DOI: 10.1186/s12889-019-7036-2] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Accepted: 05/22/2019] [Indexed: 12/03/2022] Open
Abstract
Background Human metapneumovirus (HMPV) have similar symptoms to those caused by the respiratory syncytial virus (RSV). The modes of transmission and dynamics of time series data still remain poorly understood. Climatic factors have long been suspected to be implicated in impacting on the number of cases for these epidemics. Currently, only a few models satisfactorily capture the dynamics of time series data of these two viruses. Our objective was to assess the presence of influence of high incidences between the viruses and to ascertain whether higher incidences of one virus are influenced by the other. Methods In this study, we used a negative binomial model to investigate the relationship between RSV and HMPV while adjusting for climatic factors. We specifically aimed at establishing the heterogeneity in the autoregressive effect to account for the influence between these viruses. Results In this study, our findings showed that RSV incidence contributed to the severity of HMPV incidence. This was achieved through comparison of 12 models with different structures, including those with and without interaction between climatic factors. The models with climatic factors out-performed those without. Conclusions The study has improved our understanding of the dynamics of RSV and HMPV in relation to climatic cofactors thereby setting a platform to devise better intervention measures to combat the epidemics. We conclude that preventing and controlling RSV infection subsequently reduces the incidence of HMPV.
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Affiliation(s)
- Raymond Nyoka
- School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Private Bag X01, Scottsville, 3209, South Africa. .,, Nairobi, Kenya.
| | - Thomas N O Achia
- School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Private Bag X01, Scottsville, 3209, South Africa
| | - Jimmy Omony
- Molecular Genetics Department, University of Groningen, 9747 AG, Groningen, The Netherlands
| | - Samuel M Musili
- Statistics Department, Jomo Kenyatta University of Agriculture and Technology, P.O. Box 62000-00200, Nairobi, Kenya
| | - Anthony Gichangi
- Jhpiego - an affiliate of John Hopkins University, P.O. Box 66119, Westlands, Nairobi, 00800, Kenya
| | - Henry Mwambi
- School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Private Bag X01, Scottsville, 3209, South Africa
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12
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Omony J, de Jong A, Kok J, van Hijum SAFT. Reconstruction and inference of the Lactococcus lactis MG1363 gene co-expression network. PLoS One 2019; 14:e0214868. [PMID: 31116749 PMCID: PMC6530827 DOI: 10.1371/journal.pone.0214868] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Accepted: 03/21/2019] [Indexed: 01/30/2023] Open
Abstract
Lactic acid bacteria are Gram-positive bacteria used throughout the world in many industrial applications for their acidification, flavor and texture formation attributes. One of the species, Lactococcus lactis, is employed for the production of fermented milk products like cheese, buttermilk and quark. It ferments lactose to lactic acid and, thus, helps improve the shelf life of the products. Many physiological and transcriptome studies have been performed in L. lactis in order to comprehend and improve its biotechnological assets. Using large amounts of transcriptome data to understand and predict the behavior of biological processes in bacterial or other cell types is a complex task. Gene networks enable predicting gene behavior and function in the context of transcriptionally linked processes. We reconstruct and present the gene co-expression network (GCN) for the most widely studied L. lactis strain, MG1363, using publicly available transcriptome data. Several methods exist to generate and judge the quality of GCNs. Different reconstruction methods lead to networks with varying structural properties, consequently altering gene clusters. We compared the structural properties of the MG1363 GCNs generated by five methods, namely Pearson correlation, Spearman correlation, GeneNet, Weighted Gene Co-expression Network Analysis (WGCNA), and Sparse PArtial Correlation Estimation (SPACE). Using SPACE, we generated an L. lactis MG1363 GCN and assessed its quality using modularity and structural and biological criteria. The L. lactis MG1363 GCN has structural properties similar to those of the gold-standard networks of Escherichia coli K-12 and Bacillus subtilis 168. We showcase that the network can be used to mine for genes with similar expression profiles that are also generally linked to the same biological process.
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Affiliation(s)
- Jimmy Omony
- Top Institute Food and Nutrition (TIFN), Wageningen, The Netherlands
| | - Anne de Jong
- Top Institute Food and Nutrition (TIFN), Wageningen, The Netherlands
| | - Jan Kok
- Top Institute Food and Nutrition (TIFN), Wageningen, The Netherlands
- * E-mail:
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Gardiner LJ, Joynson R, Omony J, Rusholme-Pilcher R, Olohan L, Lang D, Bai C, Hawkesford M, Salt D, Spannagl M, Mayer KFX, Kenny J, Bevan M, Hall N, Hall A. Hidden variation in polyploid wheat drives local adaptation. Genome Res 2018; 28:1319-1332. [PMID: 30093548 PMCID: PMC6120627 DOI: 10.1101/gr.233551.117] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Accepted: 07/16/2018] [Indexed: 12/20/2022]
Abstract
Wheat has been domesticated into a large number of agricultural environments and has the ability to adapt to diverse environments. To understand this process, we survey genotype, repeat content, and DNA methylation across a bread wheat landrace collection representing global genetic diversity. We identify independent variation in methylation, genotype, and transposon copy number. We show that these, so far unexploited, sources of variation have had a significant impact on the wheat genome and that ancestral methylation states become preferentially "hard coded" as single nucleotide polymorphisms (SNPs) via 5-methylcytosine deamination. These mechanisms also drive local adaption, impacting important traits such as heading date and salt tolerance. Methylation and transposon diversity could therefore be used alongside SNP-based markers for breeding.
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Affiliation(s)
| | - Ryan Joynson
- Earlham Institute, Norwich, NR4 7UZ, United Kingdom
| | - Jimmy Omony
- HelmholtzZentrum München, German Research Center for Environmental Health, Munich, 85764, Germany
| | | | - Lisa Olohan
- Institute of Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, United Kingdom
| | - Daniel Lang
- HelmholtzZentrum München, German Research Center for Environmental Health, Munich, 85764, Germany
| | - Caihong Bai
- Rothamsted Research, Harpenden, AL5 2JQ, United Kingdom
| | | | - David Salt
- University of Nottingham, Sutton Bonington Campus, Sutton Bonington, LE12 5RD, United Kingdom
| | - Manuel Spannagl
- HelmholtzZentrum München, German Research Center for Environmental Health, Munich, 85764, Germany
| | - Klaus F X Mayer
- HelmholtzZentrum München, German Research Center for Environmental Health, Munich, 85764, Germany.,Wissenschaftszentrum Weihenstephan (WZW), Technical University Munich, Freising, 85354, Germany
| | - John Kenny
- Institute of Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, United Kingdom
| | | | - Neil Hall
- Earlham Institute, Norwich, NR4 7UZ, United Kingdom.,School of Biological Sciences, University of East Anglia, Norwich, NR4 7TJ, United Kingdom
| | - Anthony Hall
- Earlham Institute, Norwich, NR4 7UZ, United Kingdom.,School of Biological Sciences, University of East Anglia, Norwich, NR4 7TJ, United Kingdom
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Omony J, de Jong A, Krawczyk AO, Eijlander RT, Kuipers OP. Dynamic sporulation gene co-expression networks for Bacillus subtilis 168 and the food-borne isolate Bacillus amyloliquefaciens: a transcriptomic model. Microb Genom 2018; 4. [PMID: 29424683 PMCID: PMC5857382 DOI: 10.1099/mgen.0.000157] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [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] [Indexed: 12/19/2022] Open
Abstract
Sporulation is a survival strategy, adapted by bacterial cells in response to harsh environmental adversities. The adaptation potential differs between strains and the variations may arise from differences in gene regulation. Gene networks are a valuable way of studying such regulation processes and establishing associations between genes. We reconstructed and compared sporulation gene co-expression networks (GCNs) of the model laboratory strain Bacillus subtilis 168 and the food-borne industrial isolate Bacillus amyloliquefaciens. Transcriptome data obtained from samples of six stages during the sporulation process were used for network inference. Subsequently, a gene set enrichment analysis was performed to compare the reconstructed GCNs of B. subtilis 168 and B. amyloliquefaciens with respect to biological functions, which showed the enriched modules with coherent functional groups associated with sporulation. On basis of the GCNs and time-evolution of differentially expressed genes, we could identify novel candidate genes strongly associated with sporulation in B. subtilis 168 and B. amyloliquefaciens. The GCNs offer a framework for exploring transcription factors, their targets, and co-expressed genes during sporulation. Furthermore, the methodology described here can conveniently be applied to other species or biological processes.
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Affiliation(s)
- Jimmy Omony
- 1Laboratory of Molecular Genetics, University of Groningen, 9747 AG Groningen, The Netherlands.,2Top Institute Food and Nutrition (TIFN), Nieuwe Kanaal 9A, 6709 PA Wageningen, The Netherlands
| | - Anne de Jong
- 1Laboratory of Molecular Genetics, University of Groningen, 9747 AG Groningen, The Netherlands.,2Top Institute Food and Nutrition (TIFN), Nieuwe Kanaal 9A, 6709 PA Wageningen, The Netherlands
| | - Antonina O Krawczyk
- 1Laboratory of Molecular Genetics, University of Groningen, 9747 AG Groningen, The Netherlands.,2Top Institute Food and Nutrition (TIFN), Nieuwe Kanaal 9A, 6709 PA Wageningen, The Netherlands
| | - Robyn T Eijlander
- 1Laboratory of Molecular Genetics, University of Groningen, 9747 AG Groningen, The Netherlands.,2Top Institute Food and Nutrition (TIFN), Nieuwe Kanaal 9A, 6709 PA Wageningen, The Netherlands.,3NIZO Food Research, B.V., P.O. Box 20, Ede 6710 BA, Ede, The Netherlands
| | - Oscar P Kuipers
- 1Laboratory of Molecular Genetics, University of Groningen, 9747 AG Groningen, The Netherlands.,2Top Institute Food and Nutrition (TIFN), Nieuwe Kanaal 9A, 6709 PA Wageningen, The Netherlands
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Nyoka R, Omony J, Mwalili SM, Achia TNO, Gichangi A, Mwambi H. Effect of climate on incidence of respiratory syncytial virus infections in a refugee camp in Kenya: A non-Gaussian time-series analysis. PLoS One 2017; 12:e0178323. [PMID: 28570627 PMCID: PMC5453485 DOI: 10.1371/journal.pone.0178323] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2017] [Accepted: 04/18/2017] [Indexed: 01/16/2023] Open
Abstract
Respiratory syncytial virus (RSV) is one of the major causes of acute lower respiratory tract infections (ALRTI) in children. Children younger than 1 year are the most susceptible to RSV infection. RSV infections occur seasonally in temperate climate regions. Based on RSV surveillance and climatic data, we developed statistical models that were assessed and compared to predict the relationship between weather and RSV incidence among refugee children younger than 5 years in Dadaab refugee camp in Kenya. Most time-series analyses rely on the assumption of Gaussian-distributed data. However, surveillance data often do not have a Gaussian distribution. We used a generalized linear model (GLM) with a sinusoidal component over time to account for seasonal variation and extended it to a generalized additive model (GAM) with smoothing cubic splines. Climatic factors were included as covariates in the models before and after timescale decompositions, and the results were compared. Models with decomposed covariates fit RSV incidence data better than those without. The Poisson GAM with decomposed covariates of climatic factors fit the data well and had a higher explanatory and predictive power than GLM. The best model predicted the relationship between atmospheric conditions and RSV infection incidence among children younger than 5 years. This knowledge helps public health officials to prepare for, and respond more effectively to increasing RSV incidence in low-resource regions or communities.
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Affiliation(s)
- Raymond Nyoka
- School of Mathematics, Statistics and Computer Science, University of KwaZulu- Natal, Scottsville, South Africa
| | - Jimmy Omony
- Molecular Genetics Department, University of Groningen, Groningen, Netherlands
| | - Samuel M. Mwalili
- Statistics Department, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
| | - Thomas N. O. Achia
- School of Mathematics, Statistics and Computer Science, University of KwaZulu- Natal, Scottsville, South Africa
| | - Anthony Gichangi
- Jhpiego - an affiliate of John Hopkins University, Westlands, Nairobi, Kenya
| | - Henry Mwambi
- School of Mathematics, Statistics and Computer Science, University of KwaZulu- Natal, Scottsville, South Africa
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Omony J, Mach-Aigner AR, van Straten G, van Boxtel AJB. Quantitative modeling and analytic assessment of the transcription dynamics of the XlnR regulon in Aspergillus niger. BMC Syst Biol 2016; 10:13. [PMID: 26822482 PMCID: PMC4731903 DOI: 10.1186/s12918-016-0257-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2015] [Accepted: 01/14/2016] [Indexed: 11/13/2022]
Abstract
Background Transcription of genes coding for xylanolytic and cellulolytic enzymes in Aspergillus niger is controlled by the transactivator XlnR. In this work we analyse and model the transcription dynamics in the XlnR regulon from time-course data of the messenger RNA levels for some XlnR target genes, obtained by reverse transcription quantitative PCR (RT-qPCR). Induction of transcription was achieved using low (1 mM) and high (50 mM) concentrations of D-xylose (Xyl). We investigated the wild type strain (Wt) and a mutant strain with partial loss-of-function of the carbon catabolite repressor CreA (Mt). Results An improved kinetic differential equation model based on two antagonistic Hill functions was proposed, and fitted to the time-course RT-qPCR data from the Wt and the Mt by numerical optimization of the parameters. We show that perturbing the XlnR regulon with Xyl in low and high concentrations results in different expression levels and transcription dynamics of the target genes. At least four distinct transcription profiles were observed, particularly for the usage of 50 mM Xyl. Higher transcript levels were observed for some genes after induction with 1 mM rather than 50 mM Xyl, especially in the Mt. Grouping the expression profiles of the investigated genes has improved our understanding of induction by Xyl and the according regulatory role of CreA. Conclusions The model explains for the higher expression levels at 1 mM versus 50 mM in both Wt and Mt. It does not yet fully encapsulate the effect of partial loss-of-function of CreA in the Mt. The model describes the dynamics in most of the data and elucidates the time-dynamics of the two major regulatory mechanisms: i) the activation by XlnR, and ii) the carbon catabolite repression by CreA. Electronic supplementary material The online version of this article (doi:10.1186/s12918-016-0257-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jimmy Omony
- Molecular Genetics Department, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Nijenborgh 7, Groningen, 9747 AG, The Netherlands. .,Biobased Chemistry and Technology, Wageningen University, P.O. Box 17, Wageningen, 6700 AA, The Netherlands.
| | - Astrid R Mach-Aigner
- TU Wien, Institute of Chemical Engineering, Gumpendorfer Str. 1a, Wien, A-1060, Austria.
| | - Gerrit van Straten
- Biobased Chemistry and Technology, Wageningen University, P.O. Box 17, Wageningen, 6700 AA, The Netherlands.
| | - Anton J B van Boxtel
- Biobased Chemistry and Technology, Wageningen University, P.O. Box 17, Wageningen, 6700 AA, The Netherlands.
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Omony J, Mach-Aigner AR, de Graaff LH, van Straten G, van Boxtel AJB. Evaluation of design strategies for time course experiments in genetic networks: case study of the XlnR regulon in Aspergillus niger. IEEE/ACM Trans Comput Biol Bioinform 2012; 9:1316-1325. [PMID: 22529332 DOI: 10.1109/tcbb.2012.59] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
One of the challenges in genetic network reconstruction is finding experimental designs that maximize the information content in a data set. In this paper, the information value of mRNA transcription time course experiments was used to compare experimental designs. The study concerns the dynamic response of genes in the XlnR regulon of Aspergillus niger, with the goal to find the best moment in time to administer an extra pulse of inducing D-xylose. Low and high D-xylose pulses were used to perturb the XlnR regulon. Evaluation of the experimental methods was based on simulation of the regulon. Models that govern the regulation of the target genes in this regulon were used for the simulations. Parameter sensitivity analysis, the Fisher Information Matrix (FIM) and the modified E-criterion were used to assess the design performances. The results show that the best time to give a second D-xylose pulse is when the D-xylose concentration from the first pulse has not yet completely faded away. Due to the presence of a repression effect the strength of the second pulse must be optimized, rather than maximized. The results suggest that the modified E-criterion is a better metric than the sum of integrals of absolute sensitivity for comparing alternative designs.
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Affiliation(s)
- Jimmy Omony
- Systems and Control Group, Wageningen University, Wageningen, The Netherlands.
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Omony J, de Graaff LH, van Straten G, van Boxtel AJB. Modeling and analysis of the dynamic behavior of the XlnR regulon in Aspergillus niger. BMC Syst Biol 2011; 5 Suppl 1:S14. [PMID: 21689473 PMCID: PMC3121114 DOI: 10.1186/1752-0509-5-s1-s14] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Background In this paper the dynamics of the transcription-translation system for XlnR regulon in Aspergillus niger is modeled. The model is based on Hill regulation functions and uses ordinary differential equations. The network response to a trigger of D-xylose is considered and stability analysis is performed. The activating, repressive feedback, and the combined effect of the two feedbacks on the network behavior are analyzed. Results Simulation and systems analysis showed significant influence of activating and repressing feedback on metabolite expression profiles. The dynamics of the D-xylose input function has an important effect on the profiles of the individual metabolite concentrations. Variation of the time delay in the feedback loop has no significant effect on the pattern of the response. The stability and existence of oscillatory behavior depends on which proteins are involved in the feedback loop. Conclusions The dynamics in the regulation properties of the network are dictated mainly by the transcription and translation degradation rate parameters, and by the D-xylose consumption profile. This holds true with and without feedback in the network. Feedback was found to significantly influence the expression dynamics of genes and proteins. Feedback increases the metabolite abundance, changes the steady state values, alters the time trajectories and affects the response oscillatory behavior and stability conditions. The modeling approach provides insight into network behavioral dynamics particularly for small-sized networks. The analysis of the network dynamics has provided useful information for experimental design for future in vitro experimental work.
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Affiliation(s)
- Jimmy Omony
- Systems and Control group, Wageningen University, Wageningen, The Netherlands.
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