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Gilbert-Girard S, Piret J, Rhéaume C, Carbonneau J, Goyette N, Couture C, Boivin G. Influenza A virus interferes with respiratory syncytial virus in mice and reconstituted human airway epithelium. Microbiol Spectr 2025:e0318724. [PMID: 40366152 DOI: 10.1128/spectrum.03187-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2024] [Accepted: 03/13/2025] [Indexed: 05/15/2025] Open
Abstract
Epidemiological studies suggest that respiratory syncytial virus (RSV) and influenza A virus (IAV) might interfere with each other. Viral interference mainly relies on interferon production elicited by a first virus that reduces the replication of a second virus. In this paper, we first investigated the interactions between RSV-A2 and influenza A(H1N1)pdm09 in BALB/c mice infected with each single virus or both viruses simultaneously or sequentially before, at the peak of interferon elicited by each virus, or after that peak. IAV reduced by almost 3.0 logs the replication of RSV administered at the peak of interferon induced by influenza, but the opposite was not true. However, IAV-infected mice challenged with RSV or the vehicle lost more weight and had a lower survival rate compared to single infections. Interferon expression, cytokine levels, and pulmonary inflammation were almost similar between groups. Disease worsening was attributed to an aggravation of IAV-induced pulmonary congestion following intranasal instillation of fluid (with or without RSV). In human airway epithelia, IAV also interfered with RSV replication. Viral interference was dependent on the timing and sequence of infections but not on differential interferon susceptibilities. Overall, our results help to understand the mechanisms of the interaction between two major respiratory viruses.IMPORTANCERespiratory syncytial and influenza viruses may interfere with each other based on epidemiological studies. It is suggested that a first virus may induce the production of interferon and interfere with the replication of a second unrelated virus. Our data showed that the influenza A virus interferes with respiratory syncytial virus replication in mouse lungs, but the opposite was not observed. In reconstituted human airway epithelia, viral interference was dependent on the timing and sequence of infections but not on differential interferon susceptibilities. Understanding the mechanisms of interaction between respiratory viruses may help the development of prophylactic or therapeutic modalities.
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Affiliation(s)
| | - Jocelyne Piret
- Research Center of the CHU of Quebec-Laval University, Quebec City, Quebec, Canada
| | - Chantal Rhéaume
- Research Center of the CHU of Quebec-Laval University, Quebec City, Quebec, Canada
| | - Julie Carbonneau
- Research Center of the CHU of Quebec-Laval University, Quebec City, Quebec, Canada
| | - Nathalie Goyette
- Research Center of the CHU of Quebec-Laval University, Quebec City, Quebec, Canada
| | - Christian Couture
- Department of Pathology, Institut Universitaire de Cardiologie et de Pneumologie de Québec, Québec City, Québec, Canada
| | - Guy Boivin
- Research Center of the CHU of Quebec-Laval University, Quebec City, Quebec, Canada
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Geenen C, Traets S, Gorissen S, Happaerts M, Beuselinck K, Laenen L, Swinnen J, Ombelet S, Raymenants J, Keyaerts E, André E. Interpretation of indoor air surveillance for respiratory infections: a prospective longitudinal observational study in a childcare setting. EBioMedicine 2025; 112:105512. [PMID: 39884186 PMCID: PMC11830284 DOI: 10.1016/j.ebiom.2024.105512] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2024] [Revised: 11/28/2024] [Accepted: 12/06/2024] [Indexed: 02/01/2025] Open
Abstract
BACKGROUND Sampling the air in indoor congregate settings, where respiratory pathogens are ubiquitous, may constitute a valuable yet underutilised data source for community-wide surveillance of respiratory infections. However, there is a lack of research comparing air sampling and individual sampling of attendees. Therefore, it remains unclear how air sampling results should be interpreted for the purpose of surveillance. METHODS In this prospective observational study, we compared the presence and concentration of several respiratory pathogens in the air with the number of attendees with infections and the pathogen load in their nasal mucus. Weekly for 22 consecutive weeks, we sampled the air in a single childcare setting in Belgium. Concurrently, we collected the paper tissues used to wipe the noses of 23 regular attendees: children aged zero to three and childcare workers. All samples were tested for 29 respiratory pathogens using PCR. FINDINGS Air sampling sensitively detected most respiratory pathogens found in nasal mucus. Some pathogens (SARS-CoV-2, Pneumocystis jirovecii) were found repeatedly in the air, but rarely in nasal mucus, whilst the opposite was true for others (Human coronavirus NL63). All three pathogens with a clear outbreak pattern (Human coronavirus HKU-1, human parainfluenza virus 3 and 4) were found in the air one week before or concurrent with the first detection in paper tissue samples. The presence and concentration of pathogens in the air was best predicted by the pathogen load of the most infectious case. However, air pathogen concentrations also correlated with the number of attendees with infections. Detection and concentration in the air were associated with CO2 concentration, a marker of ventilation and occupancy. INTERPRETATION Our results suggest that air sampling could provide sensitive, responsive epidemiological indicators for the surveillance of respiratory pathogens. Using air CO2 concentrations to normalise such signals emerges as a promising approach. FUNDING KU Leuven; DURABLE project, under the EU4Health Programme of the European Commission; Thermo Fisher Scientific.
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Affiliation(s)
- Caspar Geenen
- KU Leuven, Dept. of Microbiology, Immunology and Transplantation, Laboratory of Clinical Microbiology, Herestraat 49, Leuven 3000, Belgium.
| | - Steven Traets
- KU Leuven, Dept. of Microbiology, Immunology and Transplantation, Laboratory of Clinical Microbiology, Herestraat 49, Leuven 3000, Belgium
| | - Sarah Gorissen
- KU Leuven, Dept. of Microbiology, Immunology and Transplantation, Laboratory of Clinical Microbiology, Herestraat 49, Leuven 3000, Belgium
| | - Michiel Happaerts
- KU Leuven, Dept. of Microbiology, Immunology and Transplantation, Laboratory of Clinical Microbiology, Herestraat 49, Leuven 3000, Belgium; University Hospitals Leuven, General Internal Medicine, Herestraat 49, Leuven 3000, Belgium
| | - Kurt Beuselinck
- University Hospitals Leuven, Department of Laboratory Medicine and National Reference Centre for Respiratory Pathogens, Herestraat 49, Leuven 3000, Belgium
| | - Lies Laenen
- KU Leuven, Dept. of Microbiology, Immunology and Transplantation, Laboratory of Clinical Microbiology, Herestraat 49, Leuven 3000, Belgium; University Hospitals Leuven, Department of Laboratory Medicine and National Reference Centre for Respiratory Pathogens, Herestraat 49, Leuven 3000, Belgium
| | - Jens Swinnen
- KU Leuven, Dept. of Microbiology, Immunology and Transplantation, Laboratory of Clinical Microbiology, Herestraat 49, Leuven 3000, Belgium
| | - Sien Ombelet
- University Hospitals Leuven, Department of Laboratory Medicine and National Reference Centre for Respiratory Pathogens, Herestraat 49, Leuven 3000, Belgium
| | - Joren Raymenants
- KU Leuven, Dept. of Microbiology, Immunology and Transplantation, Laboratory of Clinical Microbiology, Herestraat 49, Leuven 3000, Belgium; University Hospitals Leuven, General Internal Medicine, Herestraat 49, Leuven 3000, Belgium
| | - Els Keyaerts
- KU Leuven, Dept. of Microbiology, Immunology and Transplantation, Laboratory of Clinical Microbiology, Herestraat 49, Leuven 3000, Belgium; University Hospitals Leuven, Department of Laboratory Medicine and National Reference Centre for Respiratory Pathogens, Herestraat 49, Leuven 3000, Belgium
| | - Emmanuel André
- KU Leuven, Dept. of Microbiology, Immunology and Transplantation, Laboratory of Clinical Microbiology, Herestraat 49, Leuven 3000, Belgium; University Hospitals Leuven, Department of Laboratory Medicine and National Reference Centre for Respiratory Pathogens, Herestraat 49, Leuven 3000, Belgium
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3
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Ibiebele JC, Godonou ET, Callear AP, Smith MR, Truscon R, Johnson E, Eisenberg MC, Lauring AS, Monto AS, Cobey S, Martin ET. The role of viral interaction in household transmission of symptomatic influenza and respiratory syncytial virus. Nat Commun 2025; 16:1249. [PMID: 39893197 PMCID: PMC11787320 DOI: 10.1038/s41467-025-56285-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2024] [Accepted: 01/15/2025] [Indexed: 02/04/2025] Open
Abstract
The role of viral interaction-where one virus enhances or inhibits infection with another virus-in respiratory virus transmission is not well characterized. This study used data from 4029 total participants from 957 households who participated in a prospective household cohort study in Southeast Michigan, U.S.A to examine how viral coinfection and cocirculation may impact transmission of symptomatic influenza and respiratory syncytial virus infections. We utilized multivariable mixed effects regression to estimate transmission risk when index cases were coinfected with multiple viruses and when viruses cocirculated within households. This analysis included 201 coinfections involving influenza A virus, 67 involving influenza B virus, and 181 involving respiratory syncytial virus. We show that exposure to symptomatic coinfected index cases was associated with reduced risk of influenza A virus and respiratory syncytial virus transmission compared to exposure to singly infected cases, while infection with another virus was associated with increased risk of acquisition of these viruses. Exposure to coinfected cases among contacts infected with other viruses was associated with increased risk of influenza B virus acquisition. These results suggest that viral interaction may impact symptomatic transmission of these viruses.
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Affiliation(s)
| | - Elie-Tino Godonou
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Amy P Callear
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Matthew R Smith
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Rachel Truscon
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Emileigh Johnson
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Marisa C Eisenberg
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
- Department of Complex Systems, University of Michigan, Ann Arbor, MI, USA
- Department of Mathematics, University of Michigan, Ann Arbor, MI, USA
| | - Adam S Lauring
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Microbiology & Immunology, University of Michigan, Ann Arbor, MI, USA
| | - Arnold S Monto
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Sarah Cobey
- Department of Ecology & Evolution, University of Chicago, Chicago, IL, USA
| | - Emily T Martin
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
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4
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Noffel Z, Dobrovolny HM. Modeling the bystander effect during viral coinfection. J Theor Biol 2024; 594:111928. [PMID: 39168369 DOI: 10.1016/j.jtbi.2024.111928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2024] [Revised: 08/07/2024] [Accepted: 08/15/2024] [Indexed: 08/23/2024]
Abstract
Viral coinfections are responsible for a significant portion of cases of patients hospitalized with influenza-like illness. As our awareness of viral coinfections has increased, researchers have started to experimentally examine some of the virus-virus interactions underlying these infections. One mechanism of interaction between viruses is through the innate immune response. This seems to occur primarily through the interferon response, which generates an antiviral state in nearby uninfected cells, a phenomenon know as the bystander effect. Here, we develop a mathematical model of two viruses interacting through the bystander effect. We find that when the rate of removal of cells to the protected state is high, growth of the first virus is suppressed, while the second virus enjoys sole access to the protected cells, enhancing its growth. Conversely, growth of the second virus can be fully suppressed if its ability to infect the protected cells is limited.
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Affiliation(s)
- Zakarya Noffel
- University of Texas at Austin, Department of Computer Science, Asutin, TX, United States
| | - Hana M Dobrovolny
- Texas Christian University, Department of Physics & Astronomy, Fort Worth, 76129, TX, United States.
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5
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Zhao Q, Ke P, Hu L, Jiang C, Su R, Lv W, Li Q, Jiang L, Cao D. Epidemiological Characteristics of Upper Respiratory Tract Pathogens in Children in Guangdong, China. THE CLINICAL RESPIRATORY JOURNAL 2024; 18:e70011. [PMID: 39367675 PMCID: PMC11452731 DOI: 10.1111/crj.70011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Revised: 07/31/2024] [Accepted: 09/01/2024] [Indexed: 10/06/2024]
Abstract
OBJECTIVE Researches on the epidemiology of various respiratory pathogens at multiple testing points in the pediatric population are limited, and these are crucial for the prevention of respiratory tract infections in children. METHODS We obtained 1788 upper respiratory tract swabs from children exhibiting symptoms of respiratory infection (notably fever with a body temperature exceeding 38.5°C) across five hospitals in Guangdong between November 2020 and June 2022. We used the multiplex probe amplification (MPA) PCR testing to identify 11 respiratory viruses and subsequently analyzed the prevalence characteristics of these pathogens among febrile children in hospitals. RESULTS The overall detection rate of the pathogens was 58.1% (1039/1788). Human rhinovirus (HRV) exhibited the highest detection rate at 19.0% (339/1788), succeeded by human parainfluenza virus (HPIV), human adenovirus (HAdV), and respiratory syncytial virus (RSV). The positivity and coinfection rates were higher in children aged 5 years and below compared to those above 5 years. Moreover, a distinct pathogen spectrum was observed across different age groups. Hospitalized patients demonstrated a significantly higher positivity and coinfection rate compared to outpatients. During COVID-2019, RSV appeared a counter-seasonal trend. CONCLUSION Respiratory viral infections in children display distinct characteristics concerning age, hospitalization status, and seasonality. Children under the age of 5 and minor patients admitted to hospitals at least be tested for RSV, HRV, HPIV, and HAdV. The epidemiological patterns of RSV in the post-epidemic period require ongoing surveillance.
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Affiliation(s)
- Qianwen Zhao
- Division of Laboratory Medicine, Zhujiang HospitalSouthern Medical UniversityGuangzhouGuangdongChina
| | - Peifeng Ke
- Department of Laboratory MedicineThe Second Affiliated Hospital of Guangzhou University of Chinese MedicineGuangzhouGuangdongChina
- Guangdong Provincial key Laboratory of Research on Emergency in TCMGuangzhouGuangdongChina
| | - Liangshan Hu
- Department of Laboratory MedicineThe Affiliated Guangdong Second Provincial General Hospital of Jinan UniversityGuangzhouGuangdongChina
| | - Changhong Jiang
- Division of Laboratory Medicine, Zhujiang HospitalSouthern Medical UniversityGuangzhouGuangdongChina
| | - Rong Su
- Department of Laboratory MedicineFoshan Hospital of Traditional Chinese MedicineFoshanGuangdongChina
| | - Weifeng Lv
- Department of Laboratory MedicineFoshan Hospital of Traditional Chinese MedicineFoshanGuangdongChina
| | - Qixin Li
- Department of Clinical LaboratoryThe First People's Hospital of FoshanFoshanGuangdongChina
| | - Lingxiao Jiang
- Division of Laboratory Medicine, Zhujiang HospitalSouthern Medical UniversityGuangzhouGuangdongChina
| | - Donglin Cao
- Department of Laboratory MedicineThe Affiliated Guangdong Second Provincial General Hospital of Jinan UniversityGuangzhouGuangdongChina
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Gerganova M, Schepanski S, Bogdanski M, Kandil FI, Tekath A, Jeitler M, Stritter W, Blakeslee SB, Seifert G. Effect of the health and wellness Kneipp concept on health promotion and reduction of sick days for kindergarten children: a cluster randomized controlled trial protocol. Front Med (Lausanne) 2024; 11:1412971. [PMID: 39131084 PMCID: PMC11309992 DOI: 10.3389/fmed.2024.1412971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2024] [Accepted: 07/10/2024] [Indexed: 08/13/2024] Open
Abstract
Background The holistic health and wellness Kneipp concept, has a long tradition in Europe with demonstrated health benefits. Based on the five elements of the Kneipp concept, kindergartens in and around Germany are used to certify "Kneipp Kindergartens" that practice regular Kneipp applications and activities: cold water applications, exercise, nutrition, herbs and mind-body interventions. Little is known about the potential health benefits for children, however. This study protocol describes our study design and intervention of the Kita Kneipp Study to investigate the effect of the Kneipp concept on kindergarten children aged 2-6 years. Methods and design The Kita Kneipp Study, registered with the German Clinical Trial Register (DRKS-ID: DRKS00029275), is a confirmatory, mixed-method, two-armed, waitlist, clinical, cluster randomized controlled trial (RCT). Kindergartens in Berlin, Germany that would like to implement the Kneipp concept into their facility will be recruited and randomized to the intervention or control group. Changes in the number of kindergarten sick days will be the primary outcome measure. Kindergarten attendance and reason for absence including illness will be collected on a weekly basis at two time points for 6 weeks from the parents and kindergarten directors: baseline and 1 year after baseline. Secondary outcomes will measure cold symptoms through the Common Cold Questionnaire (CCQ) and National Cancer Institute - Common Terminology Criteria for Adverse Events (NCI-CTCAE) Scales describing gastroenterological-based symptoms Kindergarten educator sick days will be aggregately reported for the same time period. Kneipp concept activities will be recorded on a weekly basis over the one-year intervention period. To understand the experience of Kneipp concept implementation and possible changes in the kindergarten, expert interviews will be conducted with intervention kindergarten educators and focused ethnographies will be planned to observe and analyze the intervention activities. Discussion This mixed method study design has potential to help identify if the Kneipp concept can be used for salutogenic purposes among young children and provide insights and experience of the implementation and practicing a holistic health and wellness concept in a kindergarten setting.
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Affiliation(s)
- Marinela Gerganova
- Charité Competence Center for Traditional and Integrative Medicine (CCCTIM), Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt – Universität zu Berlin, Berlin, Germany
- Department of Pediatrics, Division of Oncology and Hematology, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt – Universität zu Berlin, Berlin, Germany
| | - Steven Schepanski
- Charité Competence Center for Traditional and Integrative Medicine (CCCTIM), Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt – Universität zu Berlin, Berlin, Germany
- Department of Pediatrics, Division of Oncology and Hematology, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt – Universität zu Berlin, Berlin, Germany
| | - Martin Bogdanski
- Charité Competence Center for Traditional and Integrative Medicine (CCCTIM), Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt – Universität zu Berlin, Berlin, Germany
- Department of Pediatrics, Division of Oncology and Hematology, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt – Universität zu Berlin, Berlin, Germany
| | - Farid I. Kandil
- Charité Competence Center for Traditional and Integrative Medicine (CCCTIM), Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt – Universität zu Berlin, Berlin, Germany
- Institute of Social Medicine, Epidemiology and Health Economics, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt – Universität zu Berlin, Berlin, Germany
- Department of Internal Medicine and Nature-Based Therapies, Immanuel Hospital Berlin, Berlin, Germany
| | - Angela Tekath
- Charité Competence Center for Traditional and Integrative Medicine (CCCTIM), Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt – Universität zu Berlin, Berlin, Germany
- Department of Pediatrics, Division of Oncology and Hematology, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt – Universität zu Berlin, Berlin, Germany
| | - Michael Jeitler
- Charité Competence Center for Traditional and Integrative Medicine (CCCTIM), Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt – Universität zu Berlin, Berlin, Germany
- Institute of Social Medicine, Epidemiology and Health Economics, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt – Universität zu Berlin, Berlin, Germany
- Department of Internal Medicine and Nature-Based Therapies, Immanuel Hospital Berlin, Berlin, Germany
| | - Wiebke Stritter
- Charité Competence Center for Traditional and Integrative Medicine (CCCTIM), Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt – Universität zu Berlin, Berlin, Germany
- Department of Pediatrics, Division of Oncology and Hematology, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt – Universität zu Berlin, Berlin, Germany
| | - Sarah B. Blakeslee
- Charité Competence Center for Traditional and Integrative Medicine (CCCTIM), Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt – Universität zu Berlin, Berlin, Germany
- Department of Pediatrics, Division of Oncology and Hematology, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt – Universität zu Berlin, Berlin, Germany
| | - Georg Seifert
- Charité Competence Center for Traditional and Integrative Medicine (CCCTIM), Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt – Universität zu Berlin, Berlin, Germany
- Department of Pediatrics, Division of Oncology and Hematology, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt – Universität zu Berlin, Berlin, Germany
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Petat H, Corbet S, Leterrier B, Vabret A, Ar Gouilh M. Unravelling the acute respiratory infection landscape: virus type, viral load, health status and coinfection do matter. Front Cell Infect Microbiol 2024; 14:1380855. [PMID: 38803572 PMCID: PMC11128575 DOI: 10.3389/fcimb.2024.1380855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 04/24/2024] [Indexed: 05/29/2024] Open
Abstract
Introduction Acute respiratory infections (ARI) are the most common infections in the general population and are mainly caused by respiratory viruses. Detecting several viruses in a respiratory sample is common. To better understand these viral codetections and potential interferences, we tested for the presence of viruses and developed quantitative PCR (Polymerase Chain Reaction) for the viruses most prevalent in coinfections: human rhinovirus (HRV) and respiratory syncytial virus (RSV), and quantified their viral loads according to coinfections and health status, age, cellular abundance and other variables. Materials and methods Samples from two different cohorts were analyzed: one included hospitalized infants under 12 months of age with acute bronchiolitis (n=719) and the other primary care patients of all ages with symptoms of ARI (n=685). We performed Multiplex PCR on nasopharyngeal swabs, and quantitative PCR on samples positive for HRV or/and RSV to determine viral loads (VL). Cellular abundance (CA) was also estimated by qPCR targeting the GAPDH gene. Genotyping was performed either directly from first-line molecular panel or by PCR and sequencing for HRV. Results The risks of viral codetection were 4.1 (IC95[1.8; 10.0]) and 93.9 1 (IC95[48.7; 190.7]) higher in infants hospitalized for bronchiolitis than in infants in primary care for RSV and HRV respectively (p<0.001). CA was higher in samples positive for multiple viruses than in mono-infected or negative samples (p<0.001), and higher in samples positive for RSV (p<0.001) and HRV (p<0.001) than in negative samples. We found a positive correlation between CA and VL for both RSV and HRV. HRV VL was higher in children than in the elderly (p<0.05), but not RSV VL. HRV VL was higher when detected alone than in samples coinfected with RSV-A and with RSV-B. There was a significant increase of RSV-A VL when codetecting with HRV (p=0.001) and when co-detecting with RSV-B+HRV versus RSV-A+ RSV-B (p=0.02). Conclusions Many parameters influence the natural history of respiratory viral infections, and quantifying respiratory viral loads can help disentangle their contributions to viral outcome.
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Affiliation(s)
- Hortense Petat
- University of Rouen Normandy, Dynamicure INSERM UMR 1311, CHU Rouen, Department of Pediatrics and Adolescent Medicine, Rouen, France
- University of Caen Normandy, Dynamicure INSERM UMR 1311, Centre hospitalo-universitaire (CHU) Caen, Department of Virology, Caen, France
| | - Sandrine Corbet
- University of Caen Normandy, Dynamicure INSERM UMR 1311, Centre hospitalo-universitaire (CHU) Caen, Department of Virology, Caen, France
| | - Bryce Leterrier
- University of Caen Normandy, Dynamicure INSERM UMR 1311, Centre hospitalo-universitaire (CHU) Caen, Department of Virology, Caen, France
| | - Astrid Vabret
- University of Caen Normandy, Dynamicure INSERM UMR 1311, Centre hospitalo-universitaire (CHU) Caen, Department of Virology, Caen, France
| | - Meriadeg Ar Gouilh
- University of Caen Normandy, Dynamicure INSERM UMR 1311, Centre hospitalo-universitaire (CHU) Caen, Department of Virology, Caen, France
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8
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Deng Y, Lin Y, Lin W. Analysis of the epidemiological situation of influenza in Guangzhou under the prevention and control of COVID-19 in June 2022. THE CLINICAL RESPIRATORY JOURNAL 2024; 18:e13754. [PMID: 38693702 PMCID: PMC11063456 DOI: 10.1111/crj.13754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 11/12/2023] [Accepted: 04/01/2024] [Indexed: 05/03/2024]
Abstract
OBJECTIVE Under the prevention and control measures of COVID-19, the epidemiological situation of respiratory pathogens is not well known. Understanding the patterns of respiratory pathogens epidemiology under the prevention and control measures of COVID-19 is important to guide resource allocation for existing and future treatment and prevention strategies. METHODS In total, 659 fever outpatients nasopharyngeal swabs were collected at fever illness onset during June in 2022 at the First Hospital of Guangzhou Medical University. Swabs were tested by real-time fluorescent single-tube multiplex polymerase chain reaction (PCR) for 12 respiratory pathogens. Moreover, 108 of the 659 swabs were tested for influenza virus antigen. RESULTS At least one pathogen was detected in 477 (72.38%) of 659 fever outpatients with multiple pathogens identified in 25 (3.79%). The highest multiple infectious pattern is parainfluenza virus in combination with influenza (five cases). Influenza A virus (IFA), human rhinovirus (HRV), and parainfluenza virus are the three leading virus pathogens with proportions of 64.64%, 5.01%, and 2.88%. School-age children and adult groups have the highest pathogens positivity rate of 81.28% and 83.87%. CONCLUSION A high proportion of adolescents and adults has respiratory pathogens detected during fever illnesses during June in 2022 under the prevention and control of COVID-19. These data indicate that diagnosis, prevention, and control of respiratory tract infection should be paid attention under the prevention and control of COVID-19.
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Affiliation(s)
- Yuezhi Deng
- Department of Laboratory Medicine, The Key Laboratory of Advanced Interdisciplinary Studies CenterThe First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory DiseaseGuangzhouChina
| | - Yongping Lin
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeShenzhenChina
| | - Weihong Lin
- Department of Laboratory Medicine, The Key Laboratory of Advanced Interdisciplinary Studies CenterThe First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory DiseaseGuangzhouChina
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Wu H, Zhou HY, Zheng H, Wu A. Towards Understanding and Identification of Human Viral Co-Infections. Viruses 2024; 16:673. [PMID: 38793555 PMCID: PMC11126107 DOI: 10.3390/v16050673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Revised: 04/19/2024] [Accepted: 04/24/2024] [Indexed: 05/26/2024] Open
Abstract
Viral co-infections, in which a host is infected with multiple viruses simultaneously, are common in the human population. Human viral co-infections can lead to complex interactions between the viruses and the host immune system, affecting the clinical outcome and posing challenges for treatment. Understanding the types, mechanisms, impacts, and identification methods of human viral co-infections is crucial for the prevention and control of viral diseases. In this review, we first introduce the significance of studying human viral co-infections and summarize the current research progress and gaps in this field. We then classify human viral co-infections into four types based on the pathogenic properties and species of the viruses involved. Next, we discuss the molecular mechanisms of viral co-infections, focusing on virus-virus interactions, host immune responses, and clinical manifestations. We also summarize the experimental and computational methods for the identification of viral co-infections, emphasizing the latest advances in high-throughput sequencing and bioinformatics approaches. Finally, we highlight the challenges and future directions in human viral co-infection research, aiming to provide new insights and strategies for the prevention, control, diagnosis, and treatment of viral diseases. This review provides a comprehensive overview of the current knowledge and future perspectives on human viral co-infections and underscores the need for interdisciplinary collaboration to address this complex and important topic.
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Affiliation(s)
- Hui Wu
- School of Life Science and Technology, China Pharmaceutical University, Nanjing 211100, China;
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou 215123, China
| | - Hang-Yu Zhou
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou 215123, China
| | - Heng Zheng
- School of Life Science and Technology, China Pharmaceutical University, Nanjing 211100, China;
| | - Aiping Wu
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou 215123, China
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10
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Teoh Z, Conrey S, McNeal M, Burrell A, Burke RM, Mattison CP, McMorrow M, Thornburg N, Payne DC, Morrow AL, Staat MA. Factors Associated With Prolonged Respiratory Virus Detection From Polymerase Chain Reaction of Nasal Specimens Collected Longitudinally in Healthy Children in a US Birth Cohort. J Pediatric Infect Dis Soc 2024; 13:189-195. [PMID: 38366142 PMCID: PMC11520743 DOI: 10.1093/jpids/piae009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 02/06/2024] [Indexed: 02/18/2024]
Abstract
BACKGROUND Respiratory viral shedding is incompletely characterized by existing studies due to the lack of longitudinal nasal sampling and limited inclusion of healthy/asymptomatic children. We describe characteristics associated with prolonged virus detection by polymerase chain reaction (PCR) in a community-based birth cohort. METHODS Children were followed from birth to 2 years of age in the PREVAIL cohort. Weekly nasal swabs were collected and tested using the Luminex Respiratory Pathogen Panel. Weekly text surveys were administered to ascertain the presence of acute respiratory illnesses defined as fever and/or cough. Maternal reports and medical chart abstractions identified healthcare utilization. Prolonged virus detection was defined as a persistently positive test lasting ≥4 weeks. Factors associated with prolonged virus detection were assessed using mixed effects multivariable logistic regression. RESULTS From a sub-cohort of 101 children with ≥70% weekly swabs collected, a total of 1489 viral infections were detected. Prolonged virus detection was found in 23.4% of viral infections overall, 39% of bocavirus infections, 33% of rhinovirus/enterovirus infections, 14% of respiratory syncytial virus (RSV) A infections, and 7% of RSV B infections. No prolonged detection was found for influenza virus A or B, coronavirus 229E or HKU1, and parainfluenza virus 2 or 4 infections. First-lifetime infection with each virus, and co-detection of another respiratory virus were significantly associated with prolonged detection, while symptom status, child sex, and child age were not. CONCLUSIONS Prolonged virus detection was observed in 1 in 4 viral infections in this cohort of healthy children and varied by pathogen, occurring most often for bocavirus and rhinovirus/enterovirus. Evaluating the immunological basis of how viral co-detections and recurrent viral infections impact duration of virus detection by PCR is needed to better understand the dynamics of prolonged viral shedding.
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Affiliation(s)
- Zheyi Teoh
- Division of Infectious Diseases, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
| | - Shannon Conrey
- Division of Infectious Diseases, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Environmental and Public Health Sciences, Division of Epidemiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Monica McNeal
- Division of Infectious Diseases, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Allison Burrell
- Division of Infectious Diseases, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Environmental and Public Health Sciences, Division of Epidemiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Rachel M Burke
- Coronavirus and Other Respiratory Viruses Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Claire P Mattison
- Coronavirus and Other Respiratory Viruses Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
- Cherokee Nation Assurance, Arlington, Virginia, USA
| | - Meredith McMorrow
- Coronavirus and Other Respiratory Viruses Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Natalie Thornburg
- Coronavirus and Other Respiratory Viruses Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Daniel C Payne
- Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Ardythe L Morrow
- Department of Environmental and Public Health Sciences, Division of Epidemiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Mary Allen Staat
- Division of Infectious Diseases, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
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11
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Uthappa DM, McClain MT, Nicholson BP, Park LP, Zhbannikov I, Suchindran S, Jimenez M, Constantine FJ, Nichols M, Jones DC, Hudson LL, Jaggers LB, Veldman T, Burke TW, Tsalik EL, Ginsburg GS, Woods CW. Implementation of a Prospective Index-Cluster Sampling Strategy for the Detection of Presymptomatic Viral Respiratory Infection in Undergraduate Students. Open Forum Infect Dis 2024; 11:ofae081. [PMID: 38440301 PMCID: PMC10911223 DOI: 10.1093/ofid/ofae081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Accepted: 02/12/2024] [Indexed: 03/06/2024] Open
Abstract
Background Index-cluster studies may help characterize the spread of communicable infections in the presymptomatic state. We describe a prospective index-cluster sampling strategy (ICSS) to detect presymptomatic respiratory viral illness and its implementation in a college population. Methods We enrolled an annual cohort of first-year undergraduates who completed daily electronic symptom diaries to identify index cases (ICs) with respiratory illness. Investigators then selected 5-10 potentially exposed, asymptomatic close contacts (CCs) who were geographically co-located to follow for infections. Symptoms and nasopharyngeal samples were collected for 5 days. Logistic regression model-based predictions for proportions of self-reported illness were compared graphically for the whole cohort sampling group and the CC group. Results We enrolled 1379 participants between 2009 and 2015, including 288 ICs and 882 CCs. The median number of CCs per IC was 6 (interquartile range, 3-8). Among the 882 CCs, 111 (13%) developed acute respiratory illnesses. Viral etiology testing in 246 ICs (85%) and 719 CCs (82%) identified a pathogen in 57% of ICs and 15% of CCs. Among those with detectable virus, rhinovirus was the most common (IC: 18%; CC: 6%) followed by coxsackievirus/echovirus (IC: 11%; CC: 4%). Among 106 CCs with a detected virus, only 18% had the same virus as their associated IC. Graphically, CCs did not have a higher frequency of self-reported illness relative to the whole cohort sampling group. Conclusions Establishing clusters by geographic proximity did not enrich for cases of viral transmission, suggesting that ICSS may be a less effective strategy to detect spread of respiratory infection.
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Affiliation(s)
- Diya M Uthappa
- Doctor of Medicine Program, Duke University School of Medicine, Durham, North Carolina, USA
- Duke Global Health Institute, Duke University, Durham, North Carolina, USA
| | - Micah T McClain
- Center for Infectious Disease Diagnostics and Innovation, Duke University Medical Center, Durham, North Carolina, USA
- Durham Veterans Affairs Health Care System, Durham, North Carolina, USA
| | | | - Lawrence P Park
- Duke Global Health Institute, Duke University, Durham, North Carolina, USA
- Center for Infectious Disease Diagnostics and Innovation, Duke University Medical Center, Durham, North Carolina, USA
- Durham Veterans Affairs Health Care System, Durham, North Carolina, USA
| | - Ilya Zhbannikov
- Bioinformatics and Clinical Analytics Team, Clinical Research Unit, Duke University Department of Medicine, Durham, North Carolina, USA
| | - Sunil Suchindran
- Center for Infectious Disease Diagnostics and Innovation, Duke University Medical Center, Durham, North Carolina, USA
| | - Monica Jimenez
- Institute for Medical Research, Durham, North Carolina, USA
| | - Florica J Constantine
- Center for Infectious Disease Diagnostics and Innovation, Duke University Medical Center, Durham, North Carolina, USA
| | - Marshall Nichols
- Duke Institute for Health Innovation, Durham, North Carolina, USA
| | - Daphne C Jones
- Durham Veterans Affairs Health Care System, Durham, North Carolina, USA
| | - Lori L Hudson
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, USA
| | - L Brett Jaggers
- Center for Infectious Disease Diagnostics and Innovation, Duke University Medical Center, Durham, North Carolina, USA
| | - Timothy Veldman
- Duke Global Health Institute, Duke University, Durham, North Carolina, USA
| | - Thomas W Burke
- Center for Infectious Disease Diagnostics and Innovation, Duke University Medical Center, Durham, North Carolina, USA
| | - Ephraim L Tsalik
- Center for Infectious Disease Diagnostics and Innovation, Duke University Medical Center, Durham, North Carolina, USA
- Durham Veterans Affairs Health Care System, Durham, North Carolina, USA
| | - Geoffrey S Ginsburg
- Center for Infectious Disease Diagnostics and Innovation, Duke University Medical Center, Durham, North Carolina, USA
| | - Christopher W Woods
- Duke Global Health Institute, Duke University, Durham, North Carolina, USA
- Center for Infectious Disease Diagnostics and Innovation, Duke University Medical Center, Durham, North Carolina, USA
- Durham Veterans Affairs Health Care System, Durham, North Carolina, USA
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12
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Andrup L, Krogfelt KA, Stephansen L, Hansen KS, Graversen BK, Wolkoff P, Madsen AM. Reduction of acute respiratory infections in day-care by non-pharmaceutical interventions: a narrative review. Front Public Health 2024; 12:1332078. [PMID: 38420031 PMCID: PMC10899481 DOI: 10.3389/fpubh.2024.1332078] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 02/02/2024] [Indexed: 03/02/2024] Open
Abstract
Objective Children who start in day-care have 2-4 times as many respiratory infections compared to children who are cared for at home, and day-care staff are among the employees with the highest absenteeism. The extensive new knowledge that has been generated in the COVID-19 era should be used in the prevention measures we prioritize. The purpose of this narrative review is to answer the questions: Which respiratory viruses are the most significant in day-care centers and similar indoor environments? What do we know about the transmission route of these viruses? What evidence is there for the effectiveness of different non-pharmaceutical prevention measures? Design Literature searches with different terms related to respiratory infections in humans, mitigation strategies, viral transmission mechanisms, and with special focus on day-care, kindergarten or child nurseries, were conducted in PubMed database and Web of Science. Searches with each of the main viruses in combination with transmission, infectivity, and infectious spread were conducted separately supplemented through the references of articles that were retrieved. Results Five viruses were found to be responsible for ≈95% of respiratory infections: rhinovirus, (RV), influenza virus (IV), respiratory syncytial virus (RSV), coronavirus (CoV), and adenovirus (AdV). Novel research, emerged during the COVID-19 pandemic, suggests that most respiratory viruses are primarily transmitted in an airborne manner carried by aerosols (microdroplets). Conclusion Since airborne transmission is dominant for the most common respiratory viruses, the most important preventive measures consist of better indoor air quality that reduces viral concentrations and viability by appropriate ventilation strategies. Furthermore, control of the relative humidity and temperature, which ensures optimal respiratory functionality and, together with low resident density (or mask use) and increased time outdoors, can reduce the occurrence of respiratory infections.
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Affiliation(s)
- Lars Andrup
- The National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Karen A Krogfelt
- Department of Science and Environment, Molecular and Medical Biology, PandemiX Center, Roskilde University, Roskilde, Denmark
| | - Lene Stephansen
- Gladsaxe Municipality, Social and Health Department, Gladsaxe, Denmark
| | | | | | - Peder Wolkoff
- The National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Anne Mette Madsen
- The National Research Centre for the Working Environment, Copenhagen, Denmark
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13
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Mochan E, Sego TJ. Mathematical Modeling of the Lethal Synergism of Coinfecting Pathogens in Respiratory Viral Infections: A Review. Microorganisms 2023; 11:2974. [PMID: 38138118 PMCID: PMC10745501 DOI: 10.3390/microorganisms11122974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 12/05/2023] [Accepted: 12/08/2023] [Indexed: 12/24/2023] Open
Abstract
Influenza A virus (IAV) infections represent a substantial global health challenge and are often accompanied by coinfections involving secondary viruses or bacteria, resulting in increased morbidity and mortality. The clinical impact of coinfections remains poorly understood, with conflicting findings regarding fatality. Isolating the impact of each pathogen and mechanisms of pathogen synergy during coinfections is challenging and further complicated by host and pathogen variability and experimental conditions. Factors such as cytokine dysregulation, immune cell function alterations, mucociliary dysfunction, and changes to the respiratory tract epithelium have been identified as contributors to increased lethality. The relative significance of these factors depends on variables such as pathogen types, infection timing, sequence, and inoculum size. Mathematical biological modeling can play a pivotal role in shedding light on the mechanisms of coinfections. Mathematical modeling enables the quantification of aspects of the intra-host immune response that are difficult to assess experimentally. In this narrative review, we highlight important mechanisms of IAV coinfection with bacterial and viral pathogens and survey mathematical models of coinfection and the insights gained from them. We discuss current challenges and limitations facing coinfection modeling, as well as current trends and future directions toward a complete understanding of coinfection using mathematical modeling and computer simulation.
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Affiliation(s)
- Ericka Mochan
- Department of Computational and Chemical Sciences, Carlow University, Pittsburgh, PA 15213, USA
| | - T. J. Sego
- Department of Medicine, University of Florida, Gainesville, FL 32611, USA;
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14
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Minor NR, Ramuta MD, Stauss MR, Harwood OE, Brakefield SF, Alberts A, Vuyk WC, Bobholz MJ, Rosinski JR, Wolf S, Lund M, Mussa M, Beversdorf LJ, Aliota MT, O’Connor SL, O’Connor DH. Metagenomic sequencing detects human respiratory and enteric viruses in air samples collected from congregate settings. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.05.28.23290648. [PMID: 37398492 PMCID: PMC10312882 DOI: 10.1101/2023.05.28.23290648] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Innovative methods for evaluating virus risk and spread, independent of test-seeking behavior, are needed to improve routine public health surveillance, outbreak response, and pandemic preparedness. Throughout the COVID-19 pandemic, environmental surveillance strategies, including wastewater and air sampling, have been used alongside widespread individual-based SARS-CoV-2 testing programs to provide population-level data. These environmental surveillance strategies have predominantly relied on pathogen-specific detection methods to monitor viruses through space and time. However, this provides a limited picture of the virome present in an environmental sample, leaving us blind to most circulating viruses. In this study, we explore whether pathogen-agnostic deep sequencing can expand the utility of air sampling to detect many human viruses. We show that sequence-independent single-primer amplification sequencing of nucleic acids from air samples can detect common and unexpected human respiratory and enteric viruses, including influenza virus type A and C, respiratory syncytial virus, human coronaviruses, rhinovirus, SARS-CoV-2, rotavirus, mamastrovirus, and astrovirus.
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Affiliation(s)
| | - Mitchell D. Ramuta
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | | | - Olivia E. Harwood
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - Savannah F. Brakefield
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - Alexandra Alberts
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - William C. Vuyk
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - Max J. Bobholz
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - Jenna R. Rosinski
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - Sydney Wolf
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - Madelyn Lund
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - Madison Mussa
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | | | - Matthew T. Aliota
- Department of Veterinary and Biomedical Sciences, University of Minnesota, Twin Cities, Minneapolis, MN, USA
| | - Shelby L. O’Connor
- Wisconsin National Primate Research Center, Madison, WI USA
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - David H. O’Connor
- Wisconsin National Primate Research Center, Madison, WI USA
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, USA
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15
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Welch M, Krueger K, Zhang J, Piñeyro P, Patterson A, Gauger P. Pathogenesis of an experimental coinfection of porcine parainfluenza virus 1 and influenza A virus in commercial nursery swine. Vet Microbiol 2023; 285:109850. [PMID: 37639899 DOI: 10.1016/j.vetmic.2023.109850] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 08/06/2023] [Accepted: 08/14/2023] [Indexed: 08/31/2023]
Abstract
Porcine parainfluenza virus 1 (PPIV-1) is a recently characterized swine respirovirus. Previous experimental studies reported PPIV-1 replicates in the porcine respiratory tract causing minimal clinical disease or lesions. However, it is unknown if PPIV-1 co-infections with viral respiratory pathogens would cause respiratory disease consistent with natural infections reported in the field. The objective of this study was to evaluate if PPIV-1 increases the severity of influenza A virus respiratory disease in swine. Fifty conventional, five-week-old pigs were assigned to one of three challenge groups (n = 15) or a negative control group (n = 5). Pigs were challenged with a γ-cluster H1N2 influenza A virus in swine (IAV-S; A/Swine/North Carolina/00169/2006), PPIV-1 (USA/MN25890NS/2016), inoculum that contained equivalent titers of IAV-S and PPIV-1 (CO-IN), or negative control. Clinical scores representing respiratory disease and nasal swabs were collected daily and all pigs were necropsied five days post inoculation (DPI). The CO-IN group demonstrated a significantly lower percentage of pigs showing respiratory clinical signs relative to the IAV-S challenge group from 2 to 4 DPI. The IAV-S and CO-IN groups had significantly lower microscopic composite lesion scores in the upper respiratory tract compared to the PPIV-1 group although the IAV-S and CO-IN groups had significantly higher microscopic composite lung lesion scores. Collectively, PPIV-1 did not appear to influence severity of clinical disease, macroscopic lesions, or alter viral loads detected in nasal swabs or necropsy tissues when administered as a coinfection with IAV-S. Studies evaluating PPIV-1 coinfections with different strains of IAV-S, different respiratory pathogens or sequential exposure of PPIV-1 and IAV-S are warranted.
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Affiliation(s)
- Michael Welch
- Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, 1800 Christensen Drive, Ames, IA 50011, USA
| | - Karen Krueger
- Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, 1800 Christensen Drive, Ames, IA 50011, USA
| | - Jianqiang Zhang
- Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, 1800 Christensen Drive, Ames, IA 50011, USA
| | - Pablo Piñeyro
- Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, 1800 Christensen Drive, Ames, IA 50011, USA
| | - Abby Patterson
- Boehringer Ingelheim Animal Health Inc., 2412 S. Loop Drive, Ames, IA 50010, USA
| | - Phillip Gauger
- Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, 1800 Christensen Drive, Ames, IA 50011, USA.
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16
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Shi C, Wang X, Ye S, Deng S, Cong B, Lu B, Li Y. Understanding the risk of transmission of respiratory viral infections in childcare centres: protocol for the DISeases TrANsmission in ChildcarE (DISTANCE) multicentre cohort study. BMJ Open Respir Res 2023; 10:e001617. [PMID: 37028911 PMCID: PMC10083867 DOI: 10.1136/bmjresp-2023-001617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 03/24/2023] [Indexed: 04/09/2023] Open
Abstract
INTRODUCTION Childcare centre is considered a high-risk setting for transmission of respiratory viruses. Further evidence is needed to understand the risk of transmission in childcare centres. To this end, we established the DISeases TrANsmission in ChildcarE (DISTANCE) study to understand the interaction among contact patterns, detection of respiratory viruses from environment samples and transmission of viral infections in childcare centres. METHODS AND ANALYSIS The DISTANCE study is a prospective cohort study in multiple childcare centres of Jiangsu Province, China. Study subjects will be childcare attendees and teaching staff of different grades. A range of information will be collected from the study subjects and participating childcare centres, including attendance, contact behaviours (collected by onsite observers), respiratory viral infection (weekly respiratory throat swabs tested by multiplex PCR), presence of respiratory viruses on touch surfaces of childcare centres and weekly follow-up survey on respiratory symptoms and healthcare seeking among subjects tested positive for any respiratory viruses. Detection patterns of respiratory viruses from study subjects and environment samples, contact patterns, and transmission risk will be analysed by developing statistical and mathematical models as appropriate. The study has been initiated in September 2022 in 1 childcare centre in Wuxi City, with a total of 104 children and 12 teaching staff included in the cohort; data collection and follow-up is ongoing. One more childcare centre in Nanjing City (anticipated to include 100 children and 10 teaching staff) will start recruitment in 2023. ETHICS AND DISSEMINATION The study has received ethics approval from Nanjing Medical University Ethics Committee (No. 2022-936) and ethics approval from Wuxi Center for Disease Control and Prevention Ethics Committee (No. 2022-011). We plan to disseminate the study findings mainly through publications in peer-reviewed journals and presentations in academic conferences. Aggregated research data will be shared freely to researchers.
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Affiliation(s)
- Chao Shi
- Department of Disease Control, Wuxi Centre for Disease Control and Prevention, Wuxi, Jiangsu, China
| | - Xin Wang
- School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Sheng Ye
- School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Shuyu Deng
- School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Bingbing Cong
- School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Bing Lu
- Department of Disease Control, Wuxi Centre for Disease Control and Prevention, Wuxi, Jiangsu, China
| | - You Li
- School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
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17
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Comparing the Etiology of Viral Acute Respiratory Illnesses Between Children Who Do and Do Not Attend Childcare. Pediatr Infect Dis J 2023; 42:443-448. [PMID: 36854108 DOI: 10.1097/inf.0000000000003884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/02/2023]
Abstract
BACKGROUND AND OBJECTIVE Childcare attendance is a common risk factor for acute respiratory illness (ARI) in young children. Our goal was to better understand the specific respiratory viruses that predominate in childcare, which may support the development of tailored illness prevention and intervention strategies in childcare settings. METHODS Using data from a prospective household cohort of ARI surveillance, we assessed specimen from 1418 ARIs reported by 359 childcare-aged children over 6 study seasons (2012/2013 through 2017/2018). Respiratory swabs were tested by polymerase chain reaction for 9 respiratory viruses. A mixed-effect logistic regression model was used to compare odds of various viral detection outcomes. The Shannon's Diversity index was used to compare the richness (ie, number of species) and diversity (ie, relative species abundance) associated with respiratory viruses detected in both groups. RESULTS At least 1 virus was detected in 75.5% of childcare-associated ARIs and in 80.1% of homecare ARIs. Compared with illnesses among homecare children, childcare illnesses were associated with significantly higher odds of detected adenovirus (odds ratio = 1.86, 95% confidence interval = 1.05-3.28) and human metapneumovirus (odds ratio = 1.76, 95% confidence interval = 1.03-3.0). The pool of viruses associated with childcare ARI was found to be significantly richer and more diverse than that of viruses associated with homecare ARI (P < 0.0001). CONCLUSIONS Children attending childcare experience a higher risk of adenovirus and human metapneumovirus infection and are regularly exposed to a rich and diverse pool of respiratory viruses in childcare environments. Our results underscore the necessity of thorough and multifaceted viral prevention strategies in childcare settings.
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18
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Common infectious morbidity and white blood cell count in middle childhood predict behavior problems in adolescence. Dev Psychopathol 2023; 35:301-313. [PMID: 34420539 DOI: 10.1017/s0954579421000675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
We examined the associations of middle childhood infectious morbidity and inflammatory biomarkers with adolescent internalizing and externalizing behavior problems. We recruited 1018 Colombian schoolchildren aged 5-12 years into a cohort. We quantified white blood cell (WBC) counts and C-reactive protein at enrollment and prospectively recorded incidence of gastrointestinal, respiratory, and fever-associated morbidity during the first follow-up year. After a median 6 years, we assessed adolescent internalizing and externalizing behavior problems using child behavior checklist (CBCL) and youth self-report (YSR) questionnaires. Behavior problem scores were compared over biomarker and morbidity categories using mean differences and 95% confidence intervals (CI) from multivariable linear regression. Compared with children without symptoms, CBCL internalizing problem scores were an adjusted 2.5 (95% CI: 0.1, 4.9; p = .04) and 3.1 (95% CI: 1.1, 5.2; p = .003) units higher among children with moderate diarrhea with vomiting and high cough with fever rates, respectively. High cough with fever and high fever rates were associated with increased CBCL somatic complaints and anxious/depressed scores, respectively. WBC >10,000/mm3 was associated with both internalizing problem and YSR withdrawn/depressed scores. There were no associations with externalizing behavior problems. Whether or not decreasing the burden of common infections results in improved neurobehavioral outcomes warrants further investigation.
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19
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Campelo FS, de Aguiar Cordeiro R, Moura FEA. The role of human bocavirus as an agent of community-acquired pneumonia in children under 5 years of age in Fortaleza, Ceará (Northeast Brazil). Braz J Microbiol 2022; 53:1915-1924. [PMID: 35933553 PMCID: PMC9679084 DOI: 10.1007/s42770-022-00806-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 07/21/2022] [Indexed: 01/13/2023] Open
Abstract
The human bocavirus (HBoV) is an agent of upper and lower respiratory infections, affecting mainly children under 5 years of age. Community-acquired pneumonia (CAP) is an important public health problem in developing countries, representing one of the main causes of hospitalizations and deaths in children. The aim of this study was to describe the prevalence of HBoV and the clinical and epidemiological characteristics in children diagnosed with CAP. For this purpose, nasopharyngeal aspirates were collected from 545 children aged 0 to 60 months diagnosed with CAP between January 2013 and December 2014 in a reference pediatric hospital in Fortaleza, Ceará, Brazil. The samples were subjected to PCR for detection of HBoV and parainfluenza 4 (PIV4) and indirect immunofluorescence for detection of respiratory syncytial virus (RSV), adenovirus (AdV), influenza A and B (FLU A and FLU B), and parainfluenza 1, 2, and 3 (PIV1, PIV2, PIV3). Clinically, most CAP were non-complicated (487/545; 89.3%); however, 10.7% (58/545) of children were treated in the ICU/resuscitation sector. Among the total samples analyzed, 359 (65.8%) were positive for at least one virus surveyed and 105 (19.2%) samples had two or more viruses. HBoV was detected in 87 samples (15.9%), being the second most prevalent virus. RSV, AdV, FLU A, FLU B, and PIV 1-3 were detected in 150 (27.5%), 45 (8.2%), 30 (5.5%), 3 (0.5%), and 131 (24%) samples, respectively. The age average was 12.1 months in children infected with HBoV, and the most frequent symptoms were dyspnea and cough. In addition, 90.6% of HboV-positive children received antibiotics as empirical treatment. HBoV did not show any circulation pattern; however, it seemed to be more frequent in the first half of the year, totaling 68.9% of the cases. HBoV is a frequent agent of pneumonia in the child population studied.
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Affiliation(s)
- Felipe Serra Campelo
- Postgraduate Program in Medical Sciences, Federal University of Ceará, Fortaleza, Brazil
| | - Rossana de Aguiar Cordeiro
- Postgraduate Program in Medical Sciences, Federal University of Ceará, Fortaleza, Brazil ,Postgraduate Program in Medical Microbiology, Federal University of Ceará, Fortaleza, Brazil
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20
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Takashima MD, Grimwood K, Sly PD, Lambert SB, Ware RS. Interference between rhinovirus and other RNA respiratory viruses in the first 2-years of life: A longitudinal community-based birth cohort study. J Clin Virol 2022; 155:105249. [PMID: 35939878 DOI: 10.1016/j.jcv.2022.105249] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 07/27/2022] [Accepted: 07/30/2022] [Indexed: 10/16/2022]
Abstract
BACKGROUND Cross-sectional studies report negative associations between rhinovirus and other RNA respiratory viruses. However, longitudinal studies with frequent, serial sampling are needed to identify the directionality of this relationship and its nature. OBJECTIVE To investigate the association between rhinovirus and other RNA respiratory viruses detected 1-week apart. METHODS The Observational Research in Childhood Infectious Diseases cohort study was conducted in Brisbane, Australia (2010-2014). Parents collected nasal swabs weekly from birth until age 2-years. Swabs were analysed by real-time polymerase chain reaction. The association between new rhinovirus detections and five other RNA viruses (influenza, respiratory syncytial virus, parainfluenza viruses, seasonal human coronaviruses, and human metapneumovirus) in paired swabs 1-week apart were investigated. RESULTS Overall, 157 children provided 8,101 swabs, from which 4,672 paired swabs 1-week apart were analysed. New rhinovirus detections were negatively associated with new pooled RNA respiratory virus detections 1-week later (adjusted odds ratio (aOR) 0.48; 95% confidence interval (CI): 0.13-0.83), as were pooled RNA virus detections with new rhinovirus detections the following week (aOR 0.34; 95%CI: 0.09-0.60). At the individual species level, rhinovirus had the strongest negative association with new seasonal human coronavirus detections in the subsequent week (aOR 0.34; 95%CI: 0.120.95) and respiratory syncytial virus had the strongest negative association with rhinovirus 1-week later (aOR 0.21; 95%CI: 0.050.88). CONCLUSION A strong, negative bidirectional association was observed between rhinovirus and other RNA viruses in a longitudinal study of a community-based cohort of young Australian children. This suggests within-host interference between RNA respiratory viruses.
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Affiliation(s)
- Mari D Takashima
- Menzies Health Institute Queensland and School of Medicine and Dentistry, Griffith University, Gold Coast 4222, Queensland, Australia.
| | - Keith Grimwood
- Menzies Health Institute Queensland and School of Medicine and Dentistry, Griffith University, Gold Coast 4222, Queensland, Australia; Departments of Infectious Diseases and Paediatrics, Gold Coast Health, Gold Coast 4215, Queensland, Australia
| | - Peter D Sly
- Children's Health and Environment Program, Child Health Research Centre, The University of Queensland, South Brisbane 4101, Queensland, Australia; Australian Infectious Diseases Research Centre, The University of Queensland, St Lucia 4072, Queensland, Australia
| | - Stephen B Lambert
- UQ Centre for Clinical Research, The University of Queensland, Herston 4006, Queensland, Australia; National Centre for Immunisation Research and Surveillance, Westmead 2145, New South Wales, Australia
| | - Robert S Ware
- Menzies Health Institute Queensland and School of Medicine and Dentistry, Griffith University, Gold Coast 4222, Queensland, Australia
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21
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Pinky L, Dobrovolny HM. Epidemiological Consequences of Viral Interference: A Mathematical Modeling Study of Two Interacting Viruses. Front Microbiol 2022; 13:830423. [PMID: 35369460 PMCID: PMC8966706 DOI: 10.3389/fmicb.2022.830423] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 02/14/2022] [Indexed: 12/21/2022] Open
Abstract
Some viruses have the ability to block or suppress growth of other viruses when simultaneously present in the same host. This type of viral interference or viral block has been suggested as a potential interaction between some respiratory viruses including SARS-CoV-2 and other co-circulating respiratory viruses. We explore how one virus' ability to block infection with another within a single host affects spread of the viruses within a susceptible population using a compartmental epidemiological model. We find that population-level effect of viral block is a decrease in the number of people infected with the suppressed virus. This effect is most pronounced when the viruses have similar epidemiological parameters. We use the model to simulate co-circulating epidemics of SARS-CoV-2 and influenza, respiratory syncytial virus (RSV), and rhinovirus, finding that co-circulation of SARS-CoV-2 and RSV causes the most suppression of SARS-CoV-2. Paradoxically, co-circulation of SARS-CoV-2 and influenza or rhinovirus results in almost no change in the SARS-CoV-2 epidemic, but causes a shift in the timing of the influenza and rhinovirus epidemics.
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Affiliation(s)
- Lubna Pinky
- School of Health Professions, Eastern Virginia Medical School, Norfolk, VA, United States
| | - Hana M. Dobrovolny
- Department of Physics & Astronomy, Texas Christian University, Fort Worth, TX, United States
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22
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Alexander P, Dobrovolny HM. Treatment of Respiratory Viral Coinfections. EPIDEMIOLOGIA 2022; 3:81-96. [PMID: 36417269 PMCID: PMC9620919 DOI: 10.3390/epidemiologia3010008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 01/18/2022] [Accepted: 02/01/2022] [Indexed: 12/14/2022] Open
Abstract
With the advent of rapid multiplex PCR, physicians have been able to test for multiple viral pathogens when a patient presents with influenza-like illness. This has led to the discovery that many respiratory infections are caused by more than one virus. Antiviral treatment of viral coinfections can be complex because treatment of one virus will affect the time course of the other virus. Since effective antivirals are only available for some respiratory viruses, careful consideration needs to be given on the effect treating one virus will have on the dynamics of the other virus, which might not have available antiviral treatment. In this study, we use mathematical models of viral coinfections to assess the effect of antiviral treatment on coinfections. We examine the effect of the mechanism of action, relative growth rates of the viruses, and the assumptions underlying the interaction of the viruses. We find that high antiviral efficacy is needed to suppress both infections. If high doses of both antivirals are not achieved, then we run the risk of lengthening the duration of coinfection or even of allowing a suppressed virus to replicate to higher viral titers.
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Affiliation(s)
| | - Hana M. Dobrovolny
- Department of Physics & Astronomy, Texas Christian University, Fort Worth, TX 76129, USA;
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23
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Langer S, Klee B, Gottschick C, Mikolajczyk R. Birth cohort studies using symptom diaries for assessing respiratory diseases-a scoping review. PLoS One 2022; 17:e0263559. [PMID: 35143524 PMCID: PMC8830678 DOI: 10.1371/journal.pone.0263559] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Accepted: 01/21/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Respiratory infections are the most frequent health problem in childhood leading to morbidity and socioeconomic burden. Studying symptoms of respiratory infections in home based settings requires dedicated prospective cohort studies using diaries. However, no information is available on which birth cohort studies using symptom diary data. A review of birth cohort studies with available symptom diary data, follow-up data, and bio samples is needed to support research collaborations and create potential synergies. METHODS We conducted a scoping review of birth cohort studies using diaries for the collection of respiratory symptoms. The scoping review was conducted in accordance with the PRISMA Extension. We searched the electronic databases PubMed, Embase, Web of science and CINAHL (last search November 2020) resulting in 5872 records (based on title and abstract screening) eligible for further screening. RESULTS We examined 735 records as full text articles and finally included 57 according to predefined inclusion criteria. We identified 22 birth cohort studies that collect(ed) data on respiratory symptoms using a symptom diary starting at birth. Numbers of participants ranged from 129 to 8677. Eight studies collected symptom diary information only for the first year of life, nine for the first two years or less and six between three and six years. Most of the cohorts collected biosamples (n = 18) and information on environmental exposures (n = 19). CONCLUSION Information on respiratory symptoms with daily resolution was collected in several birth cohorts, often including related biosamples, and these data and samples can be used to study full spectrum of infections, particularly including those which did not require medical treatment.
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Affiliation(s)
- Susan Langer
- Institute for Medical Epidemiology, Biometrics and Informatics, Interdisciplinary Center for Health Sciences, Medical School of the Martin-Luther University Halle-Wittenberg, Halle, Germany
| | - Bianca Klee
- Institute for Medical Epidemiology, Biometrics and Informatics, Interdisciplinary Center for Health Sciences, Medical School of the Martin-Luther University Halle-Wittenberg, Halle, Germany
| | - Cornelia Gottschick
- Institute for Medical Epidemiology, Biometrics and Informatics, Interdisciplinary Center for Health Sciences, Medical School of the Martin-Luther University Halle-Wittenberg, Halle, Germany
| | - Rafael Mikolajczyk
- Institute for Medical Epidemiology, Biometrics and Informatics, Interdisciplinary Center for Health Sciences, Medical School of the Martin-Luther University Halle-Wittenberg, Halle, Germany
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24
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Dahlgren FS, Foppa IM, Stockwell MS, Vargas CY, LaRussa P, Reed C. Household transmission of influenza A and B within a prospective cohort during the 2013-2014 and 2014-2015 seasons. Stat Med 2021; 40:6260-6276. [PMID: 34580901 PMCID: PMC9293304 DOI: 10.1002/sim.9181] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 07/22/2021] [Accepted: 08/15/2021] [Indexed: 01/01/2023]
Abstract
People living within the same household as someone ill with influenza are at increased risk of infection. Here, we use Markov chain Monte Carlo methods to partition the hazard of influenza illness within a cohort into the hazard from the community and the hazard from the household. During the 2013‐2014 influenza season, 49 (4.7%) of the 1044 people enrolled in a community surveillance cohort had an acute respiratory illness (ARI) attributable to influenza. During the 2014‐2015 influenza season, 50 (4.7%) of the 1063 people in the cohort had an ARI attributable to influenza. The secondary attack rate from a household member was 2.3% for influenza A (H1) during 2013‐2014, 5.3% for influenza B during 2013‐2014, and 7.6% for influenza A (H3) during 2014‐2015. Living in a household with a person ill with influenza increased the risk of an ARI attributable to influenza up to 350%, depending on the season and the influenza virus circulating within the household.
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Affiliation(s)
- F Scott Dahlgren
- Influenza Division, Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Ivo M Foppa
- Influenza Division, Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.,Battelle Memorial Institute, Atlanta, Georgia, USA
| | - Melissa S Stockwell
- Division of Child and Adolescent Health, Department of Pediatrics, College of Physicians and Surgeons, Columbia University, New York, New York, USA.,Department of Population and Family Health, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Celibell Y Vargas
- Division of Child and Adolescent Health, Department of Pediatrics, College of Physicians and Surgeons, Columbia University, New York, New York, USA
| | - Philip LaRussa
- Division of Pediatric Infectious Diseases, Department of Pediatrics, College of Physicians and Surgeons, Columbia University, New York, New York, USA
| | - Carrie Reed
- Influenza Division, Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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25
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Ji K, Sun J, Yan Y, Han L, Guo J, Ma A, Hao X, Li F, Sun Y. Epidemiologic and clinical characteristics of human bocavirus infection in infants and young children suffering with community acquired pneumonia in Ningxia, China. Virol J 2021; 18:212. [PMID: 34715898 PMCID: PMC8554736 DOI: 10.1186/s12985-021-01682-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 10/18/2021] [Indexed: 01/13/2023] Open
Abstract
Background Pneumonia has a high incidence rate and is a major cause of mortality in children, mostly community-acquired pneumonia (CAP). Human bocavirus (HBoV), since it first identified in 2005, has been repeatedly associated with respiratory tract infections. Nevertheless, the role and related information of HBoV as a pathogen of CAP has not been fulfilled. Here our study is to assess the epidemiological and clinical features in HBoV-positive children with CAP. Methods A total of 878 secretions of lower respiratory samples were obtained, multiplex PCR was used to detect HBoV and other respiratory viruses. Results Of all cases, HBoV was detected in 10.0%, with a peak incidence of infection among children < 2 year old, and predominantly noted in autumn and winter. Only 8 patients were HBoV single infection. Co-infection with other respiratory viruses was observed in 86.4%. Moreover, co-infection with bacteria occurred in 27.3% and with Mycoplasma pneumoniae (MP) in 33.0% of HBoV-positive patients. Among all HBoV-positive samples co-infected with bacteria, 87.5% are gram negative bacteria. Compared with HBoV-negative group, age (P = 0.048), wheezing (P = 0.015), tachypnea (P = 0.016), lactate dehydrogenase (P = 0.026) and severe pneumonia (P = 0.023) were statistically significant in HBoV-positive patients. Furthermore, HBoV-positive patients less than 1 year old were more likely to have co-infection with bacteria (P = 0.007). Conclusions HBoV can be detected alone in respiratory samples of children with CAP, maybe it is one of the causes of CAP in infants. The high incidence of severe pneumonia was found in HBoV-positive patients compared with HBoV-negative cases may indicate a relationship between severe pneumonia and HBoV.
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Affiliation(s)
- Kai Ji
- Department of Biochemistry and Molecular Biology, Key Laboratory of Fertility Preservation and Maintenance of Ministry of Education, School of Basic Medical Science, Ningxia Medical University, Yinchuan, 750004, China
| | - Jinhan Sun
- School of Clinical Medicine, Hainan Medical University, Haikou, 571199, China
| | - Yan Yan
- Department of Biochemistry and Molecular Biology, Key Laboratory of Fertility Preservation and Maintenance of Ministry of Education, School of Basic Medical Science, Ningxia Medical University, Yinchuan, 750004, China
| | - Lei Han
- Department of Clinical Laboratory, Yinchuan Women and Children Healthcare Hospital, Yinchuan, 750001, China
| | - Jianhui Guo
- Department of Biochemistry and Molecular Biology, Key Laboratory of Fertility Preservation and Maintenance of Ministry of Education, School of Basic Medical Science, Ningxia Medical University, Yinchuan, 750004, China
| | - Anwen Ma
- Department of Biochemistry and Molecular Biology, Key Laboratory of Fertility Preservation and Maintenance of Ministry of Education, School of Basic Medical Science, Ningxia Medical University, Yinchuan, 750004, China
| | - Xueqi Hao
- Department of Clinical Medicine, Ningxia Medical University, Yinchuan, 750004, China
| | - Fang Li
- Department of Respiratory and Critical Care, General Hospital of Ningxia Medical University, Yinchuan, 750004, China.
| | - Yuning Sun
- Department of Biochemistry and Molecular Biology, Key Laboratory of Fertility Preservation and Maintenance of Ministry of Education, School of Basic Medical Science, Ningxia Medical University, Yinchuan, 750004, China.
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26
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Li ZJ, Zhang HY, Ren LL, Lu QB, Ren X, Zhang CH, Wang YF, Lin SH, Zhang XA, Li J, Zhao SW, Yi ZG, Chen X, Yang ZS, Meng L, Wang XH, Liu YL, Wang X, Cui AL, Lai SJ, Jiang T, Yuan Y, Shi LS, Liu MY, Zhu YL, Zhang AR, Zhang ZJ, Yang Y, Ward MP, Feng LZ, Jing HQ, Huang LY, Xu WB, Chen Y, Wu JG, Yuan ZH, Li MF, Wang Y, Wang LP, Fang LQ, Liu W, Hay SI, Gao GF, Yang WZ. Etiological and epidemiological features of acute respiratory infections in China. Nat Commun 2021; 12:5026. [PMID: 34408158 PMCID: PMC8373954 DOI: 10.1038/s41467-021-25120-6] [Citation(s) in RCA: 210] [Impact Index Per Article: 52.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 07/26/2021] [Indexed: 12/18/2022] Open
Abstract
Nationwide prospective surveillance of all-age patients with acute respiratory infections was conducted in China between 2009‒2019. Here we report the etiological and epidemiological features of the 231,107 eligible patients enrolled in this analysis. Children <5 years old and school-age children have the highest viral positivity rate (46.9%) and bacterial positivity rate (30.9%). Influenza virus, respiratory syncytial virus and human rhinovirus are the three leading viral pathogens with proportions of 28.5%, 16.8% and 16.7%, and Streptococcus pneumoniae, Mycoplasma pneumoniae and Klebsiella pneumoniae are the three leading bacterial pathogens (29.9%, 18.6% and 15.8%). Negative interactions between viruses and positive interactions between viral and bacterial pathogens are common. A Join-Point analysis reveals the age-specific positivity rate and how this varied for individual pathogens. These data indicate that differential priorities for diagnosis, prevention and control should be highlighted in terms of acute respiratory tract infection patients' demography, geographic locations and season of illness in China.
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Affiliation(s)
- Zhong-Jie Li
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hai-Yang Zhang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Li-Li Ren
- Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qing-Bin Lu
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China
| | - Xiang Ren
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Cui-Hong Zhang
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yi-Fei Wang
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Sheng-Hong Lin
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiao-Ai Zhang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Jun Li
- Sun Yat-sen University, Guangzhou, China
| | - Shi-Wen Zhao
- Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Zhi-Gang Yi
- Shanghai Public Health Clinical Center, Shanghai, China
| | - Xiao Chen
- Zhejiang University, Hangzhou, China
| | - Zuo-Sen Yang
- Liaoning Provincial Center for Disease Control and Prevention, Shenyang, China
| | - Lei Meng
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China
| | - Xin-Hua Wang
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China
| | | | - Xin Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ai-Li Cui
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Sheng-Jie Lai
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China.,School of Geography and Environmental Science, University of Southampton, Southampton, UK.,School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Tao Jiang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Yang Yuan
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Lu-Sha Shi
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Meng-Yang Liu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Yu-Liang Zhu
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - An-Ran Zhang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Zhi-Jie Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Fudan University, Shanghai, China
| | - Yang Yang
- Department of Biostatistics, College of Public Health and Health Professions, and Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA
| | - Michael P Ward
- Sydney School of Veterinary Science, The University of Sydney, Camden, NSW, Australia
| | - Lu-Zhao Feng
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Huai-Qi Jing
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Liu-Yu Huang
- The Institute for Disease Prevention and Control of PLA, Beijing, China
| | - Wen-Bo Xu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yu Chen
- Zhejiang University, Hangzhou, China
| | | | | | | | - Yu Wang
- Chinese Centre for Disease Control and Prevention, Beijing, China
| | - Li-Ping Wang
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China.
| | - Li-Qun Fang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
| | - Wei Liu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
| | - Simon I Hay
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA.,Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - George F Gao
- Chinese Centre for Disease Control and Prevention, Beijing, China
| | - Wei-Zhong Yang
- Chinese Centre for Disease Control and Prevention, Beijing, China
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27
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Broad Impact of Exchange Protein Directly Activated by cAMP 2 (EPAC2) on Respiratory Viral Infections. Viruses 2021; 13:v13061179. [PMID: 34205489 PMCID: PMC8233786 DOI: 10.3390/v13061179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 05/27/2021] [Accepted: 06/07/2021] [Indexed: 11/16/2022] Open
Abstract
The recently discovered exchange protein directly activated by cAMP (EPAC), compared with protein kinase A (PKA), is a fairly new family of cAMP effectors. Soon after the discovery, EPAC has shown its significance in many diseases including its emerging role in infectious diseases. In a recent study, we demonstrated that EPAC, but not PKA, is a promising therapeutic target to regulate respiratory syncytial virus (RSV) replication and its associated inflammation. In mammals, there are two isoforms of EPAC-EPAC1 and EPAC2. Unlike other viruses, including Middle East respiratory syndrome coronavirus (MERS-CoV) and Ebola virus, which use EPAC1 to regulate viral replication, RSV uses EPAC2 to control its replication and associated cytokine/chemokine responses. To determine whether EPAC2 protein has a broad impact on other respiratory viral infections, we used an EPAC2-specific inhibitor, MAY0132, to examine the functions of EPAC2 in human metapneumovirus (HMPV) and adenovirus (AdV) infections. HMPV is a negative-sense single-stranded RNA virus belonging to the family Pneumoviridae, which also includes RSV, while AdV is a double-stranded DNA virus. Treatment with an EPAC1-specific inhibitor was also included to investigate the impact of EPAC1 on these two viruses. We found that the replication of HMPV, AdV, and RSV and the viral-induced immune mediators are significantly impaired by MAY0132, while an EPAC1-specific inhibitor, CE3F4, does not impact or slightly impacts, demonstrating that EPAC2 could serve as a novel common therapeutic target to control these viruses, all of which do not have effective treatment and prevention strategies.
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28
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Kao CM, Orenstein WA, Anderson EJ. The Importance of Advancing Severe Acute Respiratory Syndrome Coronavirus 2 Vaccines in Children. Clin Infect Dis 2021; 72:515-518. [PMID: 33527122 PMCID: PMC7314192 DOI: 10.1093/cid/ciaa712] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 06/02/2020] [Indexed: 12/28/2022] Open
Abstract
While the role of children in the chain of transmission of SARS-CoV-2 remains to be fully defined, they likely play an important role based on our knowledge of other respiratory viruses. Children are more likely to be asymptomatic or have milder symptoms and less likely to present for healthcare and be tested for SARS-CoV-2; thus, our current estimates are likely under-representative of the true burden of SARS-CoV-2 in children. Given the potential direct benefit of a SARS-CoV-2 vaccine in children and the substantial indirect benefit through community protection or ‘herd immunity’, we argue that planning and implementation of SARS-CoV-2 vaccines should include children. Furthermore, community protection occurred after widespread implementation of prior childhood vaccines against Streptococcus pneumoniae, rubella and rotavirus. We detail considerations for vaccine clinical trials, potential barriers to the implementation of widespread vaccination and argue why children would be an ideal target population for vaccination.
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Affiliation(s)
- Carol M Kao
- Department of Pediatrics, Emory University School of Medicine, Emory + Children's Pediatric Institute, Atlanta, Georgia, USA
| | - Walter A Orenstein
- Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.,Emory Vaccine Center, Atlanta, Georgia, USA
| | - Evan J Anderson
- Department of Pediatrics, Emory University School of Medicine, Emory + Children's Pediatric Institute, Atlanta, Georgia, USA.,Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
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29
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Cosgrove PR, Redhu NS, Tang Y, Monuteaux MC, Horwitz BH. Characterizing T cell subsets in the nasal mucosa of children with acute respiratory symptoms. Pediatr Res 2021; 90:1023-1030. [PMID: 33504970 PMCID: PMC7838854 DOI: 10.1038/s41390-021-01364-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2020] [Revised: 11/21/2020] [Accepted: 01/05/2021] [Indexed: 01/30/2023]
Abstract
BACKGROUND In infants admitted to an ICU with respiratory failure, there is an association between the ratio of CD8+ to CD4+ T cells within the upper respiratory tract and disease severity. Whether this ratio is associated with respiratory disease severity within children presenting to a pediatric emergency department is not known. METHODS We studied a convenience sample of 63 children presenting to a pediatric emergency department with respiratory symptoms. T cell subsets in the nasal mucosa were analyzed by flow cytometry. We compared CD4+ and CD8+ T cells subsets in these samples and analyzed the proportion of these subsets that expressed markers associated with tissue residency. RESULTS We were able to identify major subsets of CD8 and CD4 T cells within the nasal mucosa using flocked swabs. We found no difference in the ratio CD8+ to CD4+ T cells in children with upper or lower respiratory illness. A positive association between tissue-resident memory T cell frequency and patient age was identified. CONCLUSIONS In our patient populations, the CD8+:CD4+ ratio was not associated with disease severity. The majority of T cells collected on nasal swabs are antigen experienced, and there is an association between the frequency of tissue-resident T cells and age. IMPACT Immune cell populations from the nasal mucosa can be captured using flocked nasal swabs and analyzed by flow cytometry. Nasal CD8+:CD4+ ratio does not predict respiratory illness severity in children presenting to the emergency department. The frequency of CD8+ and CD4+ resident memory T cells within the nasal mucosa increases with age.
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Affiliation(s)
- Peter R. Cosgrove
- grid.2515.30000 0004 0378 8438Division of Emergency Medicine, Boston Children’s Hospital, Boston, MA USA ,grid.38142.3c000000041936754XDepartment of Pediatrics, Harvard Medical School, Boston, MA USA
| | - Naresh S. Redhu
- grid.2515.30000 0004 0378 8438Division of Gastroenterology, Hepatology, and Nutrition, Boston Children’s Hospital, Boston, MA USA ,Present Address: Morphic Therapeutic, Waltham, MA USA
| | - Ying Tang
- grid.2515.30000 0004 0378 8438Division of Gastroenterology, Hepatology, and Nutrition, Boston Children’s Hospital, Boston, MA USA
| | - Michael C. Monuteaux
- grid.2515.30000 0004 0378 8438Division of Emergency Medicine, Boston Children’s Hospital, Boston, MA USA ,grid.38142.3c000000041936754XDepartment of Pediatrics, Harvard Medical School, Boston, MA USA
| | - Bruce H. Horwitz
- grid.2515.30000 0004 0378 8438Division of Emergency Medicine, Boston Children’s Hospital, Boston, MA USA ,grid.38142.3c000000041936754XDepartment of Pediatrics, Harvard Medical School, Boston, MA USA
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Yoon Y, Choi GJ, Kim JY, Kim KR, Park H, Chun JK, Kim YJ. Childcare Exposure to Severe Acute Respiratory Syndrome Coronavirus 2 for 4-Year-Old Presymptomatic Child, South Korea. Emerg Infect Dis 2020; 27:341-347. [PMID: 33252327 PMCID: PMC7853589 DOI: 10.3201/eid2702.203189] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
Data on transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from preschool-age children to children and adults are limited. We investigated SARS-CoV-2 exposure at a childcare center in South Korea. A 4-year-old child, probably infected by his grandmother, attended the center during the presymptomatic period (February 19–21, 2020). Fever developed on February 22, and he was given a diagnosis SARS-CoV-2 infection on February 27. At the center, 190 persons (154 children and 36 adults) were identified as contacts; 44 (23.2%) were defined as close contacts (37 children and 7 adults). All 190 persons were negative for SARS-CoV-2 on days 8–9 after the last exposure. Two close contacts (1 child and 1 adult) showed development of symptoms on the last day of quarantine. However, subsequent test results were negative. This investigation adds indirect evidence of low potential infectivity in a childcare setting with exposure to a presymptomatic child.
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Cimolai N. Complicating Infections Associated with Common Endemic Human Respiratory Coronaviruses. Health Secur 2020; 19:195-208. [PMID: 33186086 DOI: 10.1089/hs.2020.0067] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Coronaviruses OC43, 229E, NL63, and HKU1 are endemic human respiratory coronaviruses that typically cause mild to moderate upper respiratory infections, similar to the common cold. They also may cause simple and complicated lower respiratory infections, otitis media, asthma exacerbations, gastroenteritis, and a few systemic complications. These viruses are usually seasonal (with winter dominance) and affect nearly all age groups. The seasonal and annual variation in virus prevalence has implications for understanding the concept of acquired immunity and its persistence or diminution. Coronaviruses generally have outbreak potential in susceptible populations of any age, particularly in patients with comorbidities, who tend to have increased clinical disease. These 4 coronaviruses are often found in the context of what appears to be coinfection with other pathogens, but especially other viruses. If coronaviruses are not specifically tested for, the sole detection of a viral copathogen would suggest the pathogen is the causative agent, when a coronavirus may be culpable, or both. The detection of these viruses in circumstances where respiratory viruses are generally sought in clinical samples is, therefore, justified. These pathogens can be chronically shed from the respiratory tract, which is more likely to occur among immunocompromised and complicated patients. These viruses share the potential for genetic drift. The genome is among the largest of RNA viruses, and the capability of these viruses to further change is likely underestimated. Given the potential disease among humans, it is justified to search for effective antiviral chemotherapy for these viruses and to consider uses in niche situations should effective therapy be defined. Whereas SARS-CoV-2 may follow the epidemiological pattern of SARS-CoV and extinguish slowly over time, there is yet concern that SARS-CoV-2 may establish itself as an endemic human respiratory coronavirus similar to OC43, 2299E, NL63, and HKU1. Until sufficient data are acquired to better understand the potential of SARS-CoV-2, continued work on antiviral therapy and vaccination is imperative.
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Affiliation(s)
- Nevio Cimolai
- Nevio Cimolai, MD, FRCPC, is a Professor, Department of Pathology and Laboratory Medicine, Faculty of Medicine, University of British Columbia; he is also Medical Staff, Pathology and Laboratory Medicine, Children's and Women's Health Centre of British Columbia; both in Vancouver, Canada
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Emanuels A, Hawes SE, Newman KL, Martin ET, Englund JA, Tielsch JM, Kuypers J, Khatry SK, LeClerq SC, Katz J, Chu HY. Respiratory viral coinfection in a birth cohort of infants in rural Nepal. Influenza Other Respir Viruses 2020; 14:739-746. [PMID: 32567818 PMCID: PMC7578290 DOI: 10.1111/irv.12775] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Revised: 06/02/2020] [Accepted: 06/05/2020] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Acute respiratory illnesses are a leading cause of global morbidity and mortality in children. Coinfection with multiple respiratory viruses is common. Although the effects of each virus have been studied individually, the impacts of coinfection on disease severity are less understood. METHODS A secondary analysis was performed of a maternal influenza vaccine trial conducted between 2011 and 2014 in Nepal. Prospective weekly household-based active surveillance of infants was conducted from birth to 180 days of age. Mid-nasal swabs were collected and tested for respiratory syncytial virus (RSV), rhinovirus, influenza, human metapneumovirus (HMPV), coronavirus, parainfluenza (HPIV), and bocavirus by RT-PCR. Coinfection was defined as the presence of two or more respiratory viruses detected as part of the same illness episode. RESULTS Of 1730 infants with a respiratory illness, 327 (19%) had at least two respiratory viruses detected in their primary illness episode. Of 113 infants with influenza, 23 (20%) had coinfection. Of 214 infants with RSV, 87 (41%) had coinfection. The cohort of infants with coinfection had increased occurrence of fever lasting ≥ 4 days (OR 1.4, 95% CI: 1.1, 2.0), and so did the subset of coinfected infants with influenza (OR 5.8, 95% CI: 1.8, 18.7). Coinfection was not associated with seeking further care (OR 1.1, 95% CI: 0.8, 1.5) or pneumonia (OR 1.2, 95% CI: 0.96, 1.6). CONCLUSION A high proportion of infants had multiple viruses detected. Coinfection was associated with greater odds of fever lasting for four or more days, but not with increased illness severity by other measures.
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Affiliation(s)
- Anne Emanuels
- Department of EpidemiologyUniversity of WashingtonSeattleWAUSA
| | | | - Kira L. Newman
- Department of Laboratory MedicineUniversity of WashingtonSeattleWAUSA
| | | | - Janet A. Englund
- Department of Laboratory MedicineUniversity of WashingtonSeattleWAUSA
- Seattle Children’s HospitalSeattleWAUSA
| | - James M. Tielsch
- Department of Global HealthGeorge Washington University Milken Institute School of Public HealthWashingtonDCUSA
| | - Jane Kuypers
- Department of Laboratory MedicineUniversity of WashingtonSeattleWAUSA
| | - Subarna K. Khatry
- Department of International HealthJohns Hopkins Bloomberg School of Public HealthBaltimoreMDUSA
- Nepal Nutrition Intervention Project – Sarlahi (NNIPS)KathmanduNepal
| | - Steven C. LeClerq
- Department of International HealthJohns Hopkins Bloomberg School of Public HealthBaltimoreMDUSA
- Nepal Nutrition Intervention Project – Sarlahi (NNIPS)KathmanduNepal
| | - Joanne Katz
- Department of International HealthJohns Hopkins Bloomberg School of Public HealthBaltimoreMDUSA
| | - Helen Y. Chu
- Department of EpidemiologyUniversity of WashingtonSeattleWAUSA
- Department of Laboratory MedicineUniversity of WashingtonSeattleWAUSA
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Grimwood K, Lambert SB, Ware RS. Endemic Non-SARS-CoV-2 Human Coronaviruses in a Community-Based Australian Birth Cohort. Pediatrics 2020; 146:peds.2020-009316. [PMID: 32887791 DOI: 10.1542/peds.2020-009316] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/27/2020] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND AND OBJECTIVES The coronavirus (CoV) disease 2019 pandemic has drawn attention to the CoV virus family. However, in community settings, there is limited information on these viruses in healthy children. We explored the epidemiology of the 4 endemic (non-severe acute respiratory syndrome CoV 2) human coronaviruses (HCoVs) by species, including acute illness episodes, risk factors, and health care burden in Australian children in the first 2 years of life. METHODS The Observational Research in Childhood Infectious Diseases community-based cohort was a prospective study of acute respiratory illnesses in children from birth until their second birthday. Parents recorded daily symptoms, maintained an illness-burden diary, and collected weekly nasal swabs, which were tested for 17 respiratory viruses, including HCoVs, by real-time polymerase chain reaction assays. RESULTS Overall, 158 children participating in Observational Research in Childhood Infectious Diseases provided 11 126 weekly swabs, of which 168 were HCoV-positive involving 130 incident episodes. HCoV-NL63 and HCoV-OC43 were most commonly detected, accounting for two-thirds of episodes. Whereas 30 children had different HCoVs detected on different occasions, 7 were reinfected with the same species. HCoV incidence in the first 2 years of life was 0.76 episodes per child-year (95% confidence interval [CI] 0.63 to 0.91), being greatest in the second year (1.06; 95% CI 0.84 to 1.33) and during winter (1.32; 95% CI 1.02 to 1.71). Fifty percent of HCoV episodes were symptomatic, and 24.2% led to health care contact. CONCLUSIONS In children, HCoV infections are common, recurrent, and frequently asymptomatic. In future studies, researchers should determine transmission pathways and immune mechanisms.
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Affiliation(s)
- Keith Grimwood
- School of Medicine and Menzies Health Institute Queensland, Griffith University, Southport, Queensland, Australia; .,Departments of Paediatrics and Infectious Diseases, Gold Coast Health, Southport, Queensland, Australia; and
| | - Stephen B Lambert
- National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australian Capital Territory, Australia
| | - Robert S Ware
- School of Medicine and Menzies Health Institute Queensland, Griffith University, Southport, Queensland, Australia
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Kempf BJ, Watkins CL, Peersen OB, Barton DJ. An Extended Primer Grip of Picornavirus Polymerase Facilitates Sexual RNA Replication Mechanisms. J Virol 2020; 94:e00835-20. [PMID: 32522851 PMCID: PMC7394906 DOI: 10.1128/jvi.00835-20] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 06/02/2020] [Indexed: 11/20/2022] Open
Abstract
Picornaviruses have both asexual and sexual RNA replication mechanisms. Asexual RNA replication mechanisms involve one parental template, whereas sexual RNA replication mechanisms involve two or more parental templates. Because sexual RNA replication mechanisms counteract ribavirin-induced error catastrophe, we selected for ribavirin-resistant poliovirus to identify polymerase residues that facilitate sexual RNA replication mechanisms. We used serial passage in ribavirin, beginning with a variety of ribavirin-sensitive and ribavirin-resistant parental viruses. Ribavirin-sensitive virus contained an L420A polymerase mutation, while ribavirin-resistant virus contained a G64S polymerase mutation. A G64 codon mutation (G64Fix) was used to inhibit emergence of G64S-mediated ribavirin resistance. Revertants (L420) or pseudorevertants (L420V and L420I) were selected from all independent lineages of L420A, G64Fix L420A, and G64S L420A parental viruses. Ribavirin resistance G64S mutations were selected in two independent lineages, and novel ribavirin resistance mutations were selected in the polymerase in other lineages (M299I, M323I, M392V, and T353I). The structural orientation of M392, immediately adjacent to L420 and the polymerase primer grip region, led us to engineer additional polymerase mutations into poliovirus (M392A, M392L, M392V, K375R, and R376K). L420A revertants and pseudorevertants (L420V and L420I) restored efficient viral RNA recombination, confirming that ribavirin-induced error catastrophe coincides with defects in sexual RNA replication mechanisms. Viruses containing M392 mutations (M392A, M392L, and M392V) and primer grip mutations (K375R and R376K) exhibited divergent RNA recombination, ribavirin sensitivity, and biochemical phenotypes, consistent with changes in the fidelity of RNA synthesis. We conclude that an extended primer grip of the polymerase, including L420, M392, K375, and R376, contributes to the fidelity of RNA synthesis and to efficient sexual RNA replication mechanisms.IMPORTANCE Picornaviruses have both asexual and sexual RNA replication mechanisms. Sexual RNA replication shapes picornavirus species groups, contributes to the emergence of vaccine-derived polioviruses, and counteracts error catastrophe. Can viruses distinguish between homologous and nonhomologous partners during sexual RNA replication? We implicate an extended primer grip of the viral polymerase in sexual RNA replication mechanisms. By sensing RNA sequence complementarity near the active site, the extended primer grip of the polymerase has the potential to distinguish between homologous and nonhomologous RNA templates during sexual RNA replication.
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Affiliation(s)
- Brian J Kempf
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Colorado, USA
| | - Colleen L Watkins
- Department of Biochemistry & Molecular Biology, Colorado State University, Fort Collins, Colorado, USA
| | - Olve B Peersen
- Department of Biochemistry & Molecular Biology, Colorado State University, Fort Collins, Colorado, USA
| | - David J Barton
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Colorado, USA
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Lu L, Robertson G, Ashworth J, Pham Hong A, Shi T, Ivens A, Thwaites G, Baker S, Woolhouse M. Epidemiology and Phylogenetic Analysis of Viral Respiratory Infections in Vietnam. Front Microbiol 2020; 11:833. [PMID: 32499763 PMCID: PMC7242649 DOI: 10.3389/fmicb.2020.00833] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 04/07/2020] [Indexed: 12/18/2022] Open
Abstract
Acute respiratory infections (ARIs) impose a major public health burden on fragile healthcare systems of developing Southeast Asian countries such as Vietnam. The epidemiology, genetic diversity and transmission patterns of respiratory viral pathogens that circulate in this region are not well characterized. We used RT-PCR to screen for 14 common respiratory viruses in nasal/throat samples from 4326 ARI patients from 5 sites in Vietnam during 2012-2016. 64% of patients tested positive for viruses; 14% tested positive multiple co-infecting viruses. The most frequently detected viruses were Respiratory syncytial virus (RSV, 23%), Human Rhinovirus (HRV, 13%), Influenza A virus (IAV, 11%) and Human Bocavirus (HBoV, 7%). RSV infections peaked in July to October, were relatively more common in children <1 year and in the northernmost hospital. IAV infections peaked in December to February and were relatively more common in patients >5 years in the central region. Coinfection with IAV or RSV was associated with increased disease severity compared with patients only infected with HBoV or HRV. Over a hundred genomes belonging to 13 families and 24 genera were obtained via metagenomic sequencing, including novel viruses and viruses less commonly associated with ARIs. Phylogenetic and phylogeographic analyses further indicated that neighboring countries were the most likely source of many virus lineages causing ARIs in Vietnam and estimated the period that specific lineages have been circulating. Our study illustrates the value of applying the state-of-the-art virus diagnostic methods (multiplex RT-PCR and metagenomic sequencing) and phylodynamic analyses at a national level to generate an integrated picture of viral ARI epidemiology.
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Affiliation(s)
- Lu Lu
- Usher Institute, The University of Edinburgh, Edinburgh, United Kingdom
| | - Gail Robertson
- Statistical Consultancy Unit, School of Mathematics, The University of Edinburgh, Edinburgh, United Kingdom
| | - Jordan Ashworth
- Institute of Evolutionary Biology, The University of Edinburgh, Edinburgh, United Kingdom
| | - Anh Pham Hong
- Hospital for Tropical Diseases, Wellcome Trust Major Overseas Programme, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
| | - Ting Shi
- Usher Institute, The University of Edinburgh, Edinburgh, United Kingdom
| | - Alasdair Ivens
- Institute of Immunology and Infection Research, The University of Edinburgh, Edinburgh, United Kingdom
| | - Guy Thwaites
- Hospital for Tropical Diseases, Wellcome Trust Major Overseas Programme, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
| | - Stephen Baker
- Cambridge Institute of Therapeutic Immunology and Infectious Disease (CITIID), Department of Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Mark Woolhouse
- Usher Institute, The University of Edinburgh, Edinburgh, United Kingdom
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Coronavirus Infections in Children Including COVID-19: An Overview of the Epidemiology, Clinical Features, Diagnosis, Treatment and Prevention Options in Children. Pediatr Infect Dis J 2020. [PMID: 32310621 DOI: 10.1097/inf.0000000000002660)] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Coronaviruses (CoVs) are a large family of enveloped, single-stranded, zoonotic RNA viruses. Four CoVs commonly circulate among humans: HCoV2-229E, -HKU1, -NL63 and -OC43. However, CoVs can rapidly mutate and recombine leading to novel CoVs that can spread from animals to humans. The novel CoVs severe acute respiratory syndrome coronavirus (SARS-CoV) emerged in 2002 and Middle East respiratory syndrome coronavirus (MERS-CoV) in 2012. The 2019 novel coronavirus (SARS-CoV-2) is currently causing a severe outbreak of disease (termed COVID-19) in China and multiple other countries, threatening to cause a global pandemic. In humans, CoVs mostly cause respiratory and gastrointestinal symptoms. Clinical manifestations range from a common cold to more severe disease such as bronchitis, pneumonia, severe acute respiratory distress syndrome, multi-organ failure and even death. SARS-CoV, MERS-CoV and SARS-CoV-2 seem to less commonly affect children and to cause fewer symptoms and less severe disease in this age group compared with adults, and are associated with much lower case-fatality rates. Preliminary evidence suggests children are just as likely as adults to become infected with SARS-CoV-2 but are less likely to be symptomatic or develop severe symptoms. However, the importance of children in transmitting the virus remains uncertain. Children more often have gastrointestinal symptoms compared with adults. Most children with SARS-CoV present with fever, but this is not the case for the other novel CoVs. Many children affected by MERS-CoV are asymptomatic. The majority of children infected by novel CoVs have a documented household contact, often showing symptoms before them. In contrast, adults more often have a nosocomial exposure. In this review, we summarize epidemiologic, clinical and diagnostic findings, as well as treatment and prevention options for common circulating and novel CoVs infections in humans with a focus on infections in children.
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37
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Zimmermann P, Curtis N. Coronavirus Infections in Children Including COVID-19: An Overview of the Epidemiology, Clinical Features, Diagnosis, Treatment and Prevention Options in Children. Pediatr Infect Dis J 2020; 39:355-368. [PMID: 32310621 PMCID: PMC7158880 DOI: 10.1097/inf.0000000000002660] [Citation(s) in RCA: 694] [Impact Index Per Article: 138.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/03/2020] [Indexed: 02/06/2023]
Abstract
Coronaviruses (CoVs) are a large family of enveloped, single-stranded, zoonotic RNA viruses. Four CoVs commonly circulate among humans: HCoV2-229E, -HKU1, -NL63 and -OC43. However, CoVs can rapidly mutate and recombine leading to novel CoVs that can spread from animals to humans. The novel CoVs severe acute respiratory syndrome coronavirus (SARS-CoV) emerged in 2002 and Middle East respiratory syndrome coronavirus (MERS-CoV) in 2012. The 2019 novel coronavirus (SARS-CoV-2) is currently causing a severe outbreak of disease (termed COVID-19) in China and multiple other countries, threatening to cause a global pandemic. In humans, CoVs mostly cause respiratory and gastrointestinal symptoms. Clinical manifestations range from a common cold to more severe disease such as bronchitis, pneumonia, severe acute respiratory distress syndrome, multi-organ failure and even death. SARS-CoV, MERS-CoV and SARS-CoV-2 seem to less commonly affect children and to cause fewer symptoms and less severe disease in this age group compared with adults, and are associated with much lower case-fatality rates. Preliminary evidence suggests children are just as likely as adults to become infected with SARS-CoV-2 but are less likely to be symptomatic or develop severe symptoms. However, the importance of children in transmitting the virus remains uncertain. Children more often have gastrointestinal symptoms compared with adults. Most children with SARS-CoV present with fever, but this is not the case for the other novel CoVs. Many children affected by MERS-CoV are asymptomatic. The majority of children infected by novel CoVs have a documented household contact, often showing symptoms before them. In contrast, adults more often have a nosocomial exposure. In this review, we summarize epidemiologic, clinical and diagnostic findings, as well as treatment and prevention options for common circulating and novel CoVs infections in humans with a focus on infections in children.
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Affiliation(s)
- Petra Zimmermann
- From the Department of Paediatrics, Fribourg Hospital HFR and Faculty of Science and Medicine, University of Fribourg, Fribourg, Switzerland
- Department of Paediatrics, The University of Melbourne
- Infectious Diseases Research Group, Murdoch Children’s Research Institute
| | - Nigel Curtis
- Department of Paediatrics, The University of Melbourne
- Infectious Diseases Research Group, Murdoch Children’s Research Institute
- Infectious Diseases Unit, The Royal Children’s Hospital Melbourne, Parkville, Victoria, Australia
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38
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Ogimi C, Kim YJ, Martin ET, Huh HJ, Chiu CH, Englund JA. What's New With the Old Coronaviruses? J Pediatric Infect Dis Soc 2020; 9:210-217. [PMID: 32314790 PMCID: PMC7188130 DOI: 10.1093/jpids/piaa037] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Accepted: 04/07/2020] [Indexed: 02/06/2023]
Abstract
Coronaviruses contribute to the burden of respiratory diseases in children, frequently manifesting in upper respiratory symptoms considered to be part of the "common cold." Recent epidemics of novel coronaviruses recognized in the 21st century have highlighted issues of zoonotic origins of transmissible respiratory viruses and potential transmission, disease, and mortality related to these viruses. In this review, we discuss what is known about the virology, epidemiology, and disease associated with pediatric infection with the common community-acquired human coronaviruses, including species 229E, OC43, NL63, and HKU1, and the coronaviruses responsible for past world-wide epidemics due to severe acute respiratory syndrome and Middle East respiratory syndrome coronavirus.
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Affiliation(s)
- Chikara Ogimi
- Department of Pediatrics, Seattle Children’s Hospital Research Institute, University of Washington, Seattle, Washington, USA
| | - Yae Jean Kim
- Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University, School of Medicine, Seoul, Korea
| | - Emily T Martin
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Hee Jae Huh
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University, School of Medicine, Seoul, Korea
| | - Cheng-Hsun Chiu
- Department of Pediatrics, Chang Gung Memorial Hospital, Chang Gung Universit,y College of Medicine, Taoyuan, Taiwan
| | - Janet A Englund
- Department of Pediatrics, Seattle Children’s Hospital Research Institute, University of Washington, Seattle, Washington, USA
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39
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Abstract
Respiratory viral infections are a leading cause of disease worldwide. A variety of respiratory viruses produce infections in humans with effects ranging from asymptomatic to life-treathening. Standard surveillance systems typically only target severe infections (ED outpatients, hospitalisations, deaths) and fail to track asymptomatic or mild infections. Here we performed a large-scale community study across multiple age groups to assess the pathogenicity of 18 respiratory viruses. We enrolled 214 individuals at multiple New York City locations and tested weekly for respiratory viral pathogens, irrespective of symptom status, from fall 2016 to spring 2018. We combined these test results with participant-provided daily records of cold and flu symptoms and used this information to characterise symptom severity by virus and age category. Asymptomatic infection rates exceeded 70% for most viruses, excepting influenza and human metapneumovirus, which produced significantly more severe outcomes. Symptoms were negatively associated with infection frequency, with children displaying the lowest score among age groups. Upper respiratory manifestations were most common for all viruses, whereas systemic effects were less typical. These findings indicate a high burden of asymptomatic respiratory virus infection exists in the general population.
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40
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Scott EM, Magaret A, Kuypers J, Tielsch JM, Katz J, Khatry SK, Stewart L, Shrestha L, LeClerq SC, Englund JA, Chu HY. Risk factors and patterns of household clusters of respiratory viruses in rural Nepal. Epidemiol Infect 2019; 147:e288. [PMID: 31607271 PMCID: PMC6805793 DOI: 10.1017/s0950268819001754] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Revised: 09/12/2019] [Accepted: 09/18/2019] [Indexed: 11/18/2022] Open
Abstract
Viral pneumonia is an important cause of death and morbidity among infants worldwide. Transmission of non-influenza respiratory viruses in households can inform preventative interventions and has not been well-characterised in South Asia. From April 2011 to April 2012, household members of pregnant women enrolled in a randomised trial of influenza vaccine in rural Nepal were surveyed weekly for respiratory illness until 180 days after birth. Nasal swabs were tested by polymerase chain reaction for respiratory viruses in symptomatic individuals. A transmission event was defined as a secondary case of the same virus within 14 days of initial infection within a household. From 555 households, 825 initial viral illness episodes occurred, resulting in 79 transmission events. The overall incidence of transmission was 1.14 events per 100 person-weeks. Risk of transmission incidence was associated with an index case age 1-4 years (incidence rate ratio (IRR) 2.35; 95% confidence interval (CI) 1.40-3.96), coinfection as initial infection (IRR 1.94; 95% CI 1.05-3.61) and no electricity in household (IRR 2.70; 95% CI 1.41-5.00). Preventive interventions targeting preschool-age children in households in resource-limited settings may decrease the risk of transmission to vulnerable household members, such as young infants.
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Affiliation(s)
- E. M. Scott
- School of Medicine, University of Washington, Seattle, WA, USA
| | - A. Magaret
- School of Medicine, University of Washington, Seattle, WA, USA
| | - J. Kuypers
- School of Medicine, University of Washington, Seattle, WA, USA
| | - J. M. Tielsch
- Department of Global Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA
| | - J. Katz
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - S. K. Khatry
- Nepal Nutrition Intervention Project – Sarlahi, Kathmandu, Nepal
| | - L. Stewart
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - L. Shrestha
- Department of Paediatrics and Child Health, Institute of Medicine, Tribhuvan University, Kathmandu, Nepal
| | - S. C. LeClerq
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Nepal Nutrition Intervention Project – Sarlahi, Kathmandu, Nepal
| | - J. A. Englund
- Seattle Children's Hospital and Research Institute, University of Washington, Seattle, WA, USA
| | - H. Y. Chu
- School of Medicine, University of Washington, Seattle, WA, USA
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41
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Abstract
Viral respiratory tract infections are the most common infections of childhood. They result in clinical syndromes ranging from mild upper respiratory tract infection to severe lower respiratory tract disease requiring intensive care. Respiratory viruses are most commonly identified from a respiratory swab or nasopharyngeal aspirate by real-time PCR, which has a very high sensitivity and specificity. In this article, we review when and how children should be tested for viral respiratory tract infections and how to interpret the result in context of the clinical picture.
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Affiliation(s)
- Simon B Drysdale
- Oxford Vaccine Group, Department of Paediatrics, University of Oxford, Oxford, UK.,NIHR Oxford Biomedical Research Centre, Level 2, Children's Hospital, Oxford, UK
| | - Dominic F Kelly
- Oxford Vaccine Group, Department of Paediatrics, University of Oxford, Oxford, UK.,NIHR Oxford Biomedical Research Centre, Level 2, Children's Hospital, Oxford, UK
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42
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Chan KF, Carolan LA, Korenkov D, Druce J, McCaw J, Reading PC, Barr IG, Laurie KL. Investigating Viral Interference Between Influenza A Virus and Human Respiratory Syncytial Virus in a Ferret Model of Infection. J Infect Dis 2019; 218:406-417. [PMID: 29746640 PMCID: PMC7107400 DOI: 10.1093/infdis/jiy184] [Citation(s) in RCA: 78] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2018] [Accepted: 04/11/2018] [Indexed: 12/12/2022] Open
Abstract
Epidemiological studies have observed that the seasonal peak incidence of influenza virus infection is sometimes separate from the peak incidence of human respiratory syncytial virus (hRSV) infection, with the peak incidence of hRSV infection delayed. This is proposed to be due to viral interference, whereby infection with one virus prevents or delays infection with a different virus. We investigated viral interference between hRSV and 2009 pandemic influenza A(H1N1) virus (A[H1N1]pdm09) in the ferret model. Infection with A(H1N1)pdm09 prevented subsequent infection with hRSV. Infection with hRSV reduced morbidity attributed to infection with A(H1N1)pdm09 but not infection, even when an increased inoculum dose of hRSV was used. Notably, infection with A(H1N1)pdm09 induced higher levels of proinflammatory cytokines, chemokines, and immune mediators in the ferret than hRSV. Minimal cross-reactive serological responses or interferon γ–expressing cells were induced by either virus ≥14 days after infection. These data indicate that antigen-independent mechanisms may drive viral interference between unrelated respiratory viruses that can limit subsequent infection or disease.
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Affiliation(s)
- Kok Fei Chan
- WHO Collaborating Centre for Reference and Research on Influenza, The University of Melbourne, Melbourne
| | - Louise A Carolan
- WHO Collaborating Centre for Reference and Research on Influenza, The University of Melbourne, Melbourne
| | - Daniil Korenkov
- Department of Virology, Institute of Experimental Medicine, Saint Petersburg, Russia
| | - Julian Druce
- Victorian Infectious Diseases Reference Laboratory, The University of Melbourne, Melbourne
| | - James McCaw
- School of Mathematics and Statistics, The University of Melbourne, Melbourne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne
- Modelling and Simulation Unit, Murdoch Children’s Research Institute, Royal Children’s Hospital, Melbourne
| | - Patrick C Reading
- WHO Collaborating Centre for Reference and Research on Influenza, The University of Melbourne, Melbourne
- Department of Microbiology and Immunology, at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne
| | - Ian G Barr
- WHO Collaborating Centre for Reference and Research on Influenza, The University of Melbourne, Melbourne
- Department of Microbiology and Immunology, at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne
- School of Applied and Biomedical Sciences, Federation University, Churchill, Australia
| | - Karen L Laurie
- WHO Collaborating Centre for Reference and Research on Influenza, The University of Melbourne, Melbourne
- Department of Microbiology and Immunology, at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne
- School of Applied and Biomedical Sciences, Federation University, Churchill, Australia
- Correspondence: K. L. Laurie, PhD, Peter Doherty Institute for Infection and Immunity, Seqirus, Melbourne, Australia ()
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43
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Clinical correlation of influenza and respiratory syncytial virus load measured by digital PCR. PLoS One 2019; 14:e0220908. [PMID: 31479459 PMCID: PMC6720028 DOI: 10.1371/journal.pone.0220908] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Accepted: 07/25/2019] [Indexed: 02/07/2023] Open
Abstract
Acute respiratory tract infections are a major cause of respiratory morbidity and mortality in pediatric patients worldwide. However, accurate viral and immunologic markers to predict clinical outcomes of this patient population are still lacking. Droplet digital PCR assays for influenza and respiratory syncytial virus (RSV) were designed and performed in 64 respiratory samples from 23 patients with influenza virus infection and 73 samples from 19 patients with RSV infection. Samples of patients with hematologic malignancies, solid tumors, or sickle cell disease were included. Clinical information from institutional medical records was reviewed to assess disease severity. Samples from patients with fever or respiratory symptoms had a significantly higher viral loads than those from asymptomatic patients. Samples from patients with influenza virus and RSV infection collected at presentation had significantly higher viral loads than those collected from patients after completing a course of oseltamivir or ribavirin, respectively. RSV loads correlated positively with clinical symptoms in patients ≤5 years of age, whereas influenza viral loads were associated with clinical symptoms, irrespective of age. Patients receiving antivirals for influenza and RSV had a significant reduction in viral loads after completing therapy. Digital PCR offers an effective method to monitor the efficacy of antiviral treatment for respiratory tract infections in immunocompromised hosts.
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44
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Wen S, Lv F, Chen X, Zhu L, Li H, Lin L, Zhang H. Application of a nucleic acid-based multiplex kit to identify viral and atypical bacterial aetiology of lower respiratory tract infection in hospitalized children. J Med Microbiol 2019; 68:1211-1218. [PMID: 31225788 DOI: 10.1099/jmm.0.001006] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Affiliation(s)
- Shunhang Wen
- Department of Children's Respiration Disease, Second Affiliated Hospital & Yuying Children's Hospital, Wenzhou Medical University, Wenzhou 325000, Zhejiang, PR China
| | - Fangfang Lv
- Department of Children's Respiration Disease, Second Affiliated Hospital & Yuying Children's Hospital, Wenzhou Medical University, Wenzhou 325000, Zhejiang, PR China
| | - Xiaofang Chen
- Department of Children's Respiration Disease, Second Affiliated Hospital & Yuying Children's Hospital, Wenzhou Medical University, Wenzhou 325000, Zhejiang, PR China
| | - Lili Zhu
- Department of Children's Respiration Disease, Second Affiliated Hospital & Yuying Children's Hospital, Wenzhou Medical University, Wenzhou 325000, Zhejiang, PR China
| | - Haiyan Li
- Department of Children's Respiration Disease, Second Affiliated Hospital & Yuying Children's Hospital, Wenzhou Medical University, Wenzhou 325000, Zhejiang, PR China
| | - Li Lin
- Department of Children's Respiration Disease, Second Affiliated Hospital & Yuying Children's Hospital, Wenzhou Medical University, Wenzhou 325000, Zhejiang, PR China
| | - Hailin Zhang
- Department of Children's Respiration Disease, Second Affiliated Hospital & Yuying Children's Hospital, Wenzhou Medical University, Wenzhou 325000, Zhejiang, PR China
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45
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Sonawane AA, Shastri J, Bavdekar SB. Respiratory Pathogens in Infants Diagnosed with Acute Lower Respiratory Tract Infection in a Tertiary Care Hospital of Western India Using Multiplex Real Time PCR. Indian J Pediatr 2019; 86:433-438. [PMID: 30637585 PMCID: PMC7091426 DOI: 10.1007/s12098-018-2840-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Accepted: 12/11/2018] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To determine the frequency of respiratory pathogens in infants diagnosed with acute lower respiratory tract infections. METHODS A prospective cross-sectional observational study was conducted in infants hospitalized with a diagnosis of acute lower respiratory tract infection (ALRTI), in a tertiary care hospital in a metropolitan city of Western India. Nasopharyngeal swabs were analyzed by multiplex real time polymerase chain reaction, for 18 viruses and 3 bacteria (H. influenzae type b, C. pneumoniae and M. pneumoniae). The entire data was entered in Microsoft excel sheet and frequencies were determined. RESULTS One hundred eligible infants were enrolled. Pathogens were detected in 82 samples, which included Respiratory syncytial viruses (RSV) A / B (35.4%), Human rhinovirus (25.6%), Adenovirus (22%), Human Parainfluenza viruses (11%), Human bocavirus (9.8), Human metapneumovirus A / B (8.5%), Influenza A (H1N1) pdm 09 (6.1%), Parechovirus (3.7%), Human coronaviruses (3.66%), Haemophilus influenzae type b (6.1%), Chlamydia pneumoniae (2.4%) and Mycoplasma pneumoniae (2.4%). Influenza A (other than H1N1), Influenza B, Human Coronavirus 229E and Enterovirus were not detected. The rate of coinfection was 34% and rhinovirus was the most common of the multiple pathogens. CONCLUSIONS Spectrum of viral etiologies of ALRTI is highlighted. Etiological diagnosis of ALRTI would enable specific antiviral therapy, restrict antibiotic use and help in knowing burden of disease.
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Affiliation(s)
- Anuja A Sonawane
- Department of Microbiology, T.N. Medical College & B.Y.L. Nair Hospital, Mumbai, Maharashtra, 400008, India.
| | - Jayanthi Shastri
- Department of Microbiology, T.N. Medical College & B.Y.L. Nair Hospital, Mumbai, Maharashtra, 400008, India
| | - Sandeep B Bavdekar
- Department of Pediatrics, T.N. Medical College & B.Y.L. Nair Hospital, Mumbai, India
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46
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Pinky L, Gonzalez-Parra G, Dobrovolny HM. Effect of stochasticity on coinfection dynamics of respiratory viruses. BMC Bioinformatics 2019; 20:191. [PMID: 30991939 PMCID: PMC6469119 DOI: 10.1186/s12859-019-2793-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2018] [Accepted: 04/03/2019] [Indexed: 12/17/2022] Open
Abstract
Background Respiratory viral infections are a leading cause of mortality worldwide. As many as 40% of patients hospitalized with influenza-like illness are reported to be infected with more than one type of virus. However, it is not clear whether these infections are more severe than single viral infections. Mathematical models can be used to help us understand the dynamics of respiratory viral coinfections and their impact on the severity of the illness. Most models of viral infections use ordinary differential equations (ODE) that reproduce the average behavior of the infection, however, they might be inaccurate in predicting certain events because of the stochastic nature of viral replication cycle. Stochastic simulations of single virus infections have shown that there is an extinction probability that depends on the size of the initial viral inoculum and parameters that describe virus-cell interactions. Thus the coinfection dynamics predicted by the ODE might be difficult to observe in reality. Results In this work, a continuous-time Markov chain (CTMC) model is formulated to investigate probabilistic outcomes of coinfections. This CTMC model is based on our previous coinfection model, expressed in terms of a system of ordinary differential equations. Using the Gillespie method for stochastic simulation, we examine whether stochastic effects early in the infection can alter which virus dominates the infection. Conclusions We derive extinction probabilities for each virus individually as well as for the infection as a whole. We find that unlike the prediction of the ODE model, for similar initial growth rates stochasticity allows for a slower growing virus to out-compete a faster growing virus. Electronic supplementary material The online version of this article (10.1186/s12859-019-2793-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Lubna Pinky
- Department of Physics & Astronomy, Texas Christian University, Fort Worth, TX, USA.,Department of Pediatrics, University of Tennessee Health Science Center, Memphis, TN, USA
| | | | - Hana M Dobrovolny
- Department of Physics & Astronomy, Texas Christian University, Fort Worth, TX, USA.
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47
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Soudani N, Caniza MA, Assaf-Casals A, Shaker R, Lteif M, Su Y, Tang L, Akel I, Muwakkit S, Chmaisse A, Homsi M, Dbaibo G, Zaraket H. Prevalence and characteristics of acute respiratory virus infections in pediatric cancer patients. J Med Virol 2019; 91:1191-1201. [PMID: 30763464 PMCID: PMC7166696 DOI: 10.1002/jmv.25432] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2018] [Revised: 01/30/2019] [Accepted: 02/12/2019] [Indexed: 01/09/2023]
Abstract
Background Patients with pediatric cancer have a higher risk of morbidity and mortality because of respiratory viral infections than other patient populations. Objectives To investigate the causative viruses of respiratory infections and their burden among patients with pediatric cancer in Lebanon. Study design Nasopharyngeal swabs along with clinical and demographic data were collected from patients with pediatric cancer presenting febrile episodes with upper respiratory tract symptoms. Total nucleic acid was extracted from specimens followed by the real‐time PCR analysis targeting 14 respiratory viruses to estimate the frequency of infections. Results We obtained 89 nasopharyngeal swabs from patients with pediatric cancer (mean age, 5.8 ± 4.2 years). Real‐time PCR confirmed viral infection in 77 swabs (86.5%). Among these, 151 respiratory viruses were detected. Several viruses cocirculated within the same period; respiratory syncytial virus (RSV) being the most common (45.45%), followed by parainfluenza virus (PIV; 26%), influenza type B (26%), human metapneumovirus (24.6%), and human coronavirus (HCoV; 24.6%). Coinfections were detected in 55% of the subjects, and most of them involved RSV with one or more other viruses. A strong correlation was found between PIV, Flu (influenza of any type), RSV, and HCoV with the incidence of coinfections. RSV was associated with lower respiratory tract infections, nasal congestion, bronchitis, and bacteremia. HCoV was associated with bronchiolitis; rhinovirus was associated with hospital admission. Conclusion Patients with pediatric cancer have a high burden of respiratory viral infections and a high incidence of coinfections. Molecular diagnostics can improve management of febrile episodes and reduce antibiotic use. Respiratory viruses are leading cause of ARTI in pediatric cancer patients. Coinfections are common among febrile pediatric cancer patients. RSV was the most common in mono‐ and coinfections among pediatric cancer patients. RSV, PIV, Flu, HCoV are associated with coinfections. Molecular diagnostics permit rapid and sensitive diagnostics and limit antibiotic abuse.
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Affiliation(s)
- Nadia Soudani
- Department of Experimental Pathology, Immunology and Microbiology, American University of Beirut Faculty of Medicine, Beirut, Lebanon.,Center for Infectious Diseases Research, American University of Beirut Faculty of Medicine, Beirut, Lebanon.,Department of Biology, Faculty of Sciences, EDST, Lebanese University, Lebanon
| | - Miguela A Caniza
- Department of Infectious Diseases, St Jude Children's Research Hospital, Memphis, Tennessee.,Department of Global Pediatric Medicine, St Jude Children's Research Hospital, Memphis, Tennessee
| | - Aia Assaf-Casals
- Center for Infectious Diseases Research, American University of Beirut Faculty of Medicine, Beirut, Lebanon.,Department of Pediatrics and Adolescent Medicine, American University of Beirut Faculty of Medicine, Beirut, Lebanon
| | - Rouba Shaker
- Center for Infectious Diseases Research, American University of Beirut Faculty of Medicine, Beirut, Lebanon.,Department of Pediatrics and Adolescent Medicine, American University of Beirut Faculty of Medicine, Beirut, Lebanon
| | - Mireille Lteif
- Center for Infectious Diseases Research, American University of Beirut Faculty of Medicine, Beirut, Lebanon.,Department of Pediatrics and Adolescent Medicine, American University of Beirut Faculty of Medicine, Beirut, Lebanon
| | - Yin Su
- Department of Biostatistics, St Jude Children's Research Hospital, Memphis, Tennessee
| | - Li Tang
- Department of Biostatistics, St Jude Children's Research Hospital, Memphis, Tennessee
| | - Imad Akel
- Center for Infectious Diseases Research, American University of Beirut Faculty of Medicine, Beirut, Lebanon.,Department of Pediatrics and Adolescent Medicine, American University of Beirut Faculty of Medicine, Beirut, Lebanon
| | - Samar Muwakkit
- Department of Pediatrics and Adolescent Medicine, American University of Beirut Faculty of Medicine, Beirut, Lebanon.,Children's Cancer Center of Lebanon, American University of Beirut, Beirut, Lebanon
| | - Ahmad Chmaisse
- Department of Experimental Pathology, Immunology and Microbiology, American University of Beirut Faculty of Medicine, Beirut, Lebanon.,Center for Infectious Diseases Research, American University of Beirut Faculty of Medicine, Beirut, Lebanon
| | - Maysam Homsi
- Department of Global Pediatric Medicine, St Jude Children's Research Hospital, Memphis, Tennessee
| | - Ghassan Dbaibo
- Center for Infectious Diseases Research, American University of Beirut Faculty of Medicine, Beirut, Lebanon.,Department of Pediatrics and Adolescent Medicine, American University of Beirut Faculty of Medicine, Beirut, Lebanon
| | - Hassan Zaraket
- Department of Experimental Pathology, Immunology and Microbiology, American University of Beirut Faculty of Medicine, Beirut, Lebanon.,Center for Infectious Diseases Research, American University of Beirut Faculty of Medicine, Beirut, Lebanon
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48
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Pinky L, González-Parra G, Dobrovolny HM. Superinfection and cell regeneration can lead to chronic viral coinfections. J Theor Biol 2019; 466:24-38. [PMID: 30639572 PMCID: PMC7094138 DOI: 10.1016/j.jtbi.2019.01.011] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Revised: 11/14/2018] [Accepted: 01/08/2019] [Indexed: 12/15/2022]
Abstract
Clinical researchers have found that coinfection of the respiratory tract can cause distinct disease outcome, sometimes leading to long-lasting infection, compared to single viral infection. The impact of coinfections in human respiratory tract have not yet been evaluated in either theoretical or experimental studies on a large scale. A few experiments confirm that different respiratory viruses can infect the same cell (superinfection). Superinfection alone cannot cause long-lasting viral coinfections. The combined mechanism of superinfection and cell regeneration provides a plausible mechanism for chronic viral coinfections.
Molecular diagnostic techniques have revealed that approximately 43% of the patients hospitalized with influenza-like illness are infected by more than one viral pathogen, sometimes leading to long-lasting infections. It is not clear how the heterologous viruses interact within the respiratory tract of the infected host to lengthen the duration of what are usually short, self-limiting infections. We develop a mathematical model which allows for single cells to be infected simultaneously with two different respiratory viruses (superinfection) to investigate the possibility of chronic coinfections. We find that a model with superinfection and cell regeneration has a stable chronic coinfection fixed point, while superinfection without cell regeneration produces only acute infections. This analysis suggests that both superinfection and cell regeneration are required to sustain chronic coinfection via this mechanism since coinfection is maintained by superinfected cells that allow slow-growing infections a chance to infect cells and continue replicating. This model provides a possible mechanism for chronic coinfection independent of any viral interactions via the immune response.
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Affiliation(s)
- Lubna Pinky
- Department of Physics and Astronomy, Texas Christian University, Fort Worth, TX, United States.
| | - Gilberto González-Parra
- Department of Physics and Astronomy, Texas Christian University, Fort Worth, TX, United States; Department of Mathematics, New Mexico Tech, Socorro, NM, United States
| | - Hana M Dobrovolny
- Department of Physics and Astronomy, Texas Christian University, Fort Worth, TX, United States
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49
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Olawoyin O, Kribs C. Invasion reproductive numbers for discrete-time models. Infect Dis Model 2019; 4:44-72. [PMID: 31016273 PMCID: PMC6468161 DOI: 10.1016/j.idm.2019.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2018] [Revised: 03/16/2019] [Accepted: 03/29/2019] [Indexed: 12/02/2022] Open
Abstract
Although invasion reproductive numbers (IRNs) are utilized frequently in continuous-time models with multiple interacting pathogens, they are yet to be explored in discrete-time systems. Here, we extend the concept of IRNs to discrete-time models by showing how to calculate them for a set of two-pathogen SIS models with coinfection. In our exploration, we address how sequencing events impacts the basic reproductive number (BRN) and IRN. As an illustrative example, our models are applied to rhinovirus and respiratory syncytial virus co-circulation. Results show that while the BRN is unaffected by variations in the order of events, the IRN differs. Furthermore, our models predict copersistence of multiple pathogen strains under cross-immunity, which is atypical of analogous continuous-time models. This investigation shows that sequencing events has important consequences for the IRN and can drastically alter competition dynamics.
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50
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Ross KR, Teague WG, Gaston BM. Life Cycle of Childhood Asthma: Prenatal, Infancy and Preschool, Childhood, and Adolescence. Clin Chest Med 2018; 40:125-147. [PMID: 30691707 DOI: 10.1016/j.ccm.2018.10.008] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
Asthma is a heterogeneous developmental disorder influenced by complex interactions between genetic susceptibility and exposures. Wheezing in infancy and early childhood is highly prevalent, with a substantial minority of children progressing to established asthma by school age, most of whom are atopic. Adolescence is a time of remission of symptoms with persistent lung function deficits. The transition to asthma in adulthood is not well understood.
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Affiliation(s)
- Kristie R Ross
- Division of Pediatric Pulmonology, Allergy, Immunology and Sleep Medicine, Case Western Reserve University School of Medicine, 11100 Euclid Avenue, Cleveland, OH 44106, USA.
| | - W Gerald Teague
- Pediatric Asthma Center of Excellence, Department of Pediatrics, University of Virginia School of Medicine, 409 Lane Road, Building MR4, Room 2112, PO Box 801349, Charlottesville, VA 22908, USA
| | - Benjamin M Gaston
- Division of Pediatric Pulmonology, Allergy, Immunology and Sleep Medicine, Rainbow Babies and Children's Hospital, Case Western Reserve University School of Medicine, Children's Lung Foundation, 2109 Adelbert Road, BRB 827, Cleveland, OH 44106, USA
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