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Colson P, Chaudet H, Delerce J, Pontarotti P, Levasseur A, Fantini J, La Scola B, Devaux C, Raoult D. Role of SARS-CoV-2 mutations in the evolution of the COVID-19 pandemic. J Infect 2024; 88:106150. [PMID: 38570164 DOI: 10.1016/j.jinf.2024.106150] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 03/12/2024] [Accepted: 03/27/2024] [Indexed: 04/05/2024]
Abstract
OBJECTIVES The SARS-CoV-2 pandemic and large-scale genomic surveillance provided an exceptional opportunity to analyze mutations that appeared over three years in viral genomes. Here we studied mutations and their epidemic consequences for SARS-CoV-2 genomes from our center. METHODS We analyzed 61,397 SARS-CoV-2 genomes we sequenced from respiratory samples for genomic surveillance. Mutations frequencies were calculated using Nextclade, Microsoft Excel, and an in-house Python script. RESULTS A total of 22,225 nucleotide mutations were identified, 220 (1.0%) being each at the root of ≥836 genomes, classifying mutations as 'hyperfertile'. Two seeded the European pandemic: P323L in RNA polymerase, associated with an increased mutation rate, and D614G in spike that improved fitness. Most 'hyperfertile' mutations occurred in areas not predicted with increased virulence. Their mean number was 8±6 (0-22) per 1000 nucleotides per gene. They were 3.7-times more frequent in accessory than informational genes (13.8 versus 3.7/1000 nucleotides). Particularly, they were 4.1-times more frequent in ORF8 than in the RNA polymerase gene. Interestingly, stop codons were present in 97 positions, almost only in accessory genes, including ORF8 (21/100 codons). CONCLUSIONS most 'hyperfertile' mutations did not predict emergence of a new epidemic, and some were stop codons indicating the existence of so-named 'non-virulence' genes.
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Affiliation(s)
- Philippe Colson
- IHU Méditerranée Infection, 19-21 Boulevard Jean Moulin, 13005 Marseille, France; Aix-Marseille Université, Microbes Evolution Phylogeny and Infections (MEPHI), 27 Boulevard Jean Moulin, 13005 Marseille, France; Assistance Publique-Hôpitaux de Marseille (AP-HM), 264 Rue Saint-Pierre, 13005 Marseille, France
| | - Hervé Chaudet
- IHU Méditerranée Infection, 19-21 Boulevard Jean Moulin, 13005 Marseille, France; Assistance Publique-Hôpitaux de Marseille (AP-HM), 264 Rue Saint-Pierre, 13005 Marseille, France; Aix-Marseille Université, Institut de Recherche pour le Développement (IRD), Vecteurs, Infections Tropicales et Méditerranéennes (VITROME), 27 Boulevard Jean Moulin, 13005 Marseille, France; French Armed Forces Center for Epidemiology and Public Health (CESPA), Camp de Sainte Marthe, Marseille, France
| | - Jérémy Delerce
- IHU Méditerranée Infection, 19-21 Boulevard Jean Moulin, 13005 Marseille, France; Aix-Marseille Université, Microbes Evolution Phylogeny and Infections (MEPHI), 27 Boulevard Jean Moulin, 13005 Marseille, France; Assistance Publique-Hôpitaux de Marseille (AP-HM), 264 Rue Saint-Pierre, 13005 Marseille, France
| | - Pierre Pontarotti
- IHU Méditerranée Infection, 19-21 Boulevard Jean Moulin, 13005 Marseille, France; Department of Biological Sciences, Centre National de la Recherche Scientifique (CNRS)-SNC5039, Marseille, France
| | - Anthony Levasseur
- IHU Méditerranée Infection, 19-21 Boulevard Jean Moulin, 13005 Marseille, France; Aix-Marseille Université, Microbes Evolution Phylogeny and Infections (MEPHI), 27 Boulevard Jean Moulin, 13005 Marseille, France; Assistance Publique-Hôpitaux de Marseille (AP-HM), 264 Rue Saint-Pierre, 13005 Marseille, France
| | - Jacques Fantini
- "Aix-Marseille Université, INSERM UMR UA 16, Marseille, France
| | - Bernard La Scola
- IHU Méditerranée Infection, 19-21 Boulevard Jean Moulin, 13005 Marseille, France; Aix-Marseille Université, Microbes Evolution Phylogeny and Infections (MEPHI), 27 Boulevard Jean Moulin, 13005 Marseille, France; Assistance Publique-Hôpitaux de Marseille (AP-HM), 264 Rue Saint-Pierre, 13005 Marseille, France
| | - Christian Devaux
- IHU Méditerranée Infection, 19-21 Boulevard Jean Moulin, 13005 Marseille, France; Department of Biological Sciences, Centre National de la Recherche Scientifique (CNRS)-SNC5039, Marseille, France
| | - Didier Raoult
- IHU Méditerranée Infection, 19-21 Boulevard Jean Moulin, 13005 Marseille, France; Aix-Marseille Université, Microbes Evolution Phylogeny and Infections (MEPHI), 27 Boulevard Jean Moulin, 13005 Marseille, France.
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2
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Kulkarni D, Ismail NF, Zhu F, Wang X, del Carmen Morales G, Srivastava A, Allen KE, Spinardi J, Rahman AE, Kyaw MH, Nair H. Epidemiology and clinical features of SARS-CoV-2 infection in children and adolescents in the pre-Omicron era: A global systematic review and meta-analysis. J Glob Health 2024; 14:05003. [PMID: 38419461 PMCID: PMC10902805 DOI: 10.7189/jogh.14.05003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024] Open
Abstract
Methods We searched MEDLINE, Embase, Global Health, CINAHL, China National Knowledge Infrastructure, Wanfang, CQvip, and the World Health Organization (WHO) COVID-19 global literature databases for primary studies recruiting children aged ≤18 years with a diagnosis of SARS-CoV-2 infection confirmed either by molecular or antigen tests. We used the Joanna Briggs Institute critical appraisal tools to appraise the study quality and conducted meta-analyses using the random effects model for all outcomes except for race/ethnicity as risk factors of SARS-CoV-2 infection. Results We included 237 studies, each reporting at least one of the study outcomes. Based on data from 117 studies, the pooled SARS-CoV-2 positivity rate was 9.30% (95% confidence interval (CI) = 7.15-11.73). Having a comorbidity was identified as a risk factor for SARS-CoV-2 infection (risk ratio (RR) = 1.33; 95% CI = 1.04-1.71) based on data from 49 studies. Most cases in this review presented with mild disease (n = 50; 52.47% (95% CI = 44.03-60.84)). However, 20.70% of paediatric SARS-CoV-2 infections were hospitalised (67 studies), 7.19% required oxygen support (57 studies), 4.26% required intensive care (93 studies), and 2.92% required assisted ventilation (63 studies). The case fatality ratio (n = 119) was 0.87% (95% CI = 0.54-1.28), which included in-hospital and out-of-hospital deaths. Conclusions Our data showed that children were at risk for SARS-CoV-2 infections and severe outcomes in the pre-Omicron era. These findings underscore the need for effective vaccination strategies for the paediatric population to protect against the acute and long-term sequelae of COVID-19. Registration PROSPERO: CRD42022327680.
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Affiliation(s)
- Durga Kulkarni
- Centre for Global Health, University of Edinburgh, Edinburgh, United Kingdom
| | - Nabihah Farhana Ismail
- Centre for Global Health, University of Edinburgh, Edinburgh, United Kingdom
- Communicable Disease Control Unit, Public Health Department, Johor State, Malaysia
| | - Fuyu Zhu
- Schol of Public Health, Nanjing Medical University, China
| | - Xin Wang
- Schol of Public Health, Nanjing Medical University, China
| | | | | | | | | | - Ahmed Ehsanur Rahman
- Centre for Global Health, University of Edinburgh, Edinburgh, United Kingdom
- International Centre for Diarrhoeal Diseases Research, Bangladesh
| | | | - Harish Nair
- Centre for Global Health, University of Edinburgh, Edinburgh, United Kingdom
- Schol of Public Health, Nanjing Medical University, China
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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3
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Paniskaki K, Goretzki S, Anft M, Konik MJ, Lechtenberg K, Vogl M, Meister TL, Pfaender S, Zettler M, Jäger J, Dolff S, Westhoff TH, Rohn H, Felderhoff-Mueser U, Stervbo U, Witzke O, Dohna-Schwake C, Babel N. Fading SARS-CoV-2 humoral VOC cross-reactivity and sustained cellular immunity in convalescent children and adolescents. BMC Infect Dis 2023; 23:818. [PMID: 37993788 PMCID: PMC10664582 DOI: 10.1186/s12879-023-08805-9] [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: 06/16/2023] [Accepted: 11/08/2023] [Indexed: 11/24/2023] Open
Abstract
Cross-reactive cellular and humoral immunity can substantially contribute to antiviral defense against SARS-CoV-2 variants of concern (VOC). While the adult SARS-CoV-2 cellular and humoral immunity and its cross-recognition potential against VOC is broadly analyzed, similar data regarding the pediatric population are missing. In this study, we perform an analysis of the humoral and cellular SARS-CoV-2 response immune of 32 convalescent COVID-19 children (children), 27 convalescent vaccinated adults(C + V+) and 7 unvaccinated convalescent adults (C + V-). Similarly to adults, a significant reduction of cross-reactive neutralizing capacity against delta and omicron VOC was observed 6 months after SARS-CoV-2 infection. While SAR-CoV-2 neutralizing capacity was comparable among children and C + V- against all VOC, children demonstrated as expected an inferior humoral response when compared to C + V+. Nevertheless, children generated SARS-CoV-2 reactive T cells with broad cross-recognition potential. When compared to V + C+, children presented even comparable frequencies of WT-reactive CD4 + and CD8 + T cells with high avidity and functionality. Taking into consideration the limitations of study - unknown disease onset for 53% of the asymptomatic pediatric subjects, serological detection of SARS-CoV-2 infection-, our results suggest that following SARS-CoV-2 infection children generate a humoral SARS-CoV-2 response with neutralizing potential comparable to unvaccinated COVID-19 convalescent adults as well a sustained SARS-CoV-2 cellular response cross-reactive to VOC.
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Affiliation(s)
- Krystallenia Paniskaki
- Department of Infectious Diseases, West German Centre of Infectious Diseases, University Hospital Essen, University Duisburg-Essen, Essen, Germany.
- Center for Translational Medicine and Immune Diagnostics Laboratory, Medical Department I, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Bochum, Germany.
| | - Sarah Goretzki
- Department of Pediatrics I, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Moritz Anft
- Center for Translational Medicine and Immune Diagnostics Laboratory, Medical Department I, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Bochum, Germany
| | - Margarethe J Konik
- Department of Infectious Diseases, West German Centre of Infectious Diseases, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Klara Lechtenberg
- Department of Pediatrics I, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Melanie Vogl
- Department of Pediatrics III, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Toni L Meister
- Department of Molecular and Medical Virology, Ruhr-University Bochum, Bochum, Germany
| | - Stephanie Pfaender
- Department of Molecular and Medical Virology, Ruhr-University Bochum, Bochum, Germany
| | - Markus Zettler
- Department of Infectious Diseases, West German Centre of Infectious Diseases, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Jasmin Jäger
- Department of Infectious Diseases, West German Centre of Infectious Diseases, University Hospital Essen, University Duisburg-Essen, Essen, Germany
- Center for Translational Medicine and Immune Diagnostics Laboratory, Medical Department I, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Bochum, Germany
| | - Sebastian Dolff
- Department of Infectious Diseases, West German Centre of Infectious Diseases, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Timm H Westhoff
- Medical Department I, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Herne, Germany
| | - Hana Rohn
- Department of Infectious Diseases, West German Centre of Infectious Diseases, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Ursula Felderhoff-Mueser
- Department of Pediatrics I, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Ulrik Stervbo
- Center for Translational Medicine and Immune Diagnostics Laboratory, Medical Department I, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Bochum, Germany
| | - Oliver Witzke
- Department of Infectious Diseases, West German Centre of Infectious Diseases, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Christian Dohna-Schwake
- Department of Pediatrics I, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Nina Babel
- Center for Translational Medicine and Immune Diagnostics Laboratory, Medical Department I, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Bochum, Germany
- Berlin Institute of Health at Charité - University Clinic Berlin, BIH Center for Regenerative Therapies (BCRT) Berlin, Berlin, Germany
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4
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Guardiani M, Frank P, Kostić A, Edenhofer G, Roth J, Uhlmann B, Enßlin T. Causal, Bayesian, & non-parametric modeling of the SARS-CoV-2 viral load distribution vs. patient's age. PLoS One 2022; 17:e0275011. [PMID: 36197849 PMCID: PMC9534394 DOI: 10.1371/journal.pone.0275011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 09/09/2022] [Indexed: 11/05/2022] Open
Abstract
The viral load of patients infected with SARS-CoV-2 varies on logarithmic scales and possibly with age. Controversial claims have been made in the literature regarding whether the viral load distribution actually depends on the age of the patients. Such a dependence would have implications for the COVID-19 spreading mechanism, the age-dependent immune system reaction, and thus for policymaking. We hereby develop a method to analyze viral-load distribution data as a function of the patients' age within a flexible, non-parametric, hierarchical, Bayesian, and causal model. The causal nature of the developed reconstruction additionally allows to test for bias in the data. This could be due to, e.g., bias in patient-testing and data collection or systematic errors in the measurement of the viral load. We perform these tests by calculating the Bayesian evidence for each implied possible causal direction. The possibility of testing for bias in data collection and identifying causal directions can be very useful in other contexts as well. For this reason we make our model freely available. When applied to publicly available age and SARS-CoV-2 viral load data, we find a statistically significant increase in the viral load with age, but only for one of the two analyzed datasets. If we consider this dataset, and based on the current understanding of viral load's impact on patients' infectivity, we expect a non-negligible difference in the infectivity of different age groups. This difference is nonetheless too small to justify considering any age group as noninfectious.
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Affiliation(s)
- Matteo Guardiani
- Max Planck Institute for Astrophysics, Garching, Germany
- Fakultät für Physik, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Philipp Frank
- Max Planck Institute for Astrophysics, Garching, Germany
- Fakultät für Physik, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Andrija Kostić
- Max Planck Institute for Astrophysics, Garching, Germany
- Fakultät für Physik, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Gordian Edenhofer
- Max Planck Institute for Astrophysics, Garching, Germany
- Fakultät für Physik, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Jakob Roth
- Max Planck Institute for Astrophysics, Garching, Germany
- Fakultät für Physik, Ludwig-Maximilians-Universität München, Munich, Germany
| | | | - Torsten Enßlin
- Max Planck Institute for Astrophysics, Garching, Germany
- Fakultät für Physik, Ludwig-Maximilians-Universität München, Munich, Germany
- Excellence Cluster ORIGINS, Garching, Germany
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5
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Effectiveness of Preoperative Symptom Screening in Identifying Pediatric SARS-CoV-2 Infections: A Retrospective Cohort Analysis. PLASTIC AND RECONSTRUCTIVE SURGERY-GLOBAL OPEN 2022; 10:e4402. [PMID: 35698478 PMCID: PMC9186400 DOI: 10.1097/gox.0000000000004402] [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: 01/03/2022] [Accepted: 05/10/2022] [Indexed: 11/25/2022]
Abstract
Evidence-based protocols identifying COVID-19 cases in pediatric preoperative settings are lacking. With COVID-19 positioned to remain a threat to children, this study examines effectiveness of preoperative COVID-19 symptom screening in pediatric patients.
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6
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Häusler M, Kleines M. The SARS-CoV-2 pandemic in Germany may represent the sum of a large number of local but independent epidemics each initiated by individuals aged 10 - 19 years, middle aged males, or elderly individuals. J Med Virol 2022; 94:3087-3095. [PMID: 35229302 PMCID: PMC9088573 DOI: 10.1002/jmv.27682] [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: 01/17/2022] [Revised: 02/13/2022] [Accepted: 02/25/2022] [Indexed: 11/25/2022]
Abstract
Many epidemiological aspects of the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) pandemics, particularly those affecting children, are still sparsely elucidated. Data on the first pandemic phase during the year 2020 indicated that children might serve as a virus reservoir. We now analyzed data on more than 530 000 SARS‐CoV‐2 polymerase chain reaction (PCR) and 12 503 anti‐SARS‐CoV‐2 antibody tests performed in the west of Germany until Week 4 of 2021. We show that children of at least 10 years of age may play a prominent role in the pandemic showing highest PCR‐positive rates in the first (Weeks 28–35), second (Weeks 42–48), and third wave (Week 50 of 2020–Week 2 2021) of the second pandemic phase, although the waves were not mainly initiated by children. The waves' kinetics differed even in nearby cities. Low PCR‐positive rates were confined to areas of lower population density. PCR‐positive rates were higher among middle‐aged males compared with women and among very old females compared with males. From Week 25, seroprevalence rates slowly increased to 50%, indicating ongoing virus activity. In conclusion, the SARS‐CoV‐2 pandemics is characterized by many local but interacting epidemics, initiated and driven by different social groups. Children may not be the main initiators of virus spreading but older children may significantly affect the course of the pandemic. High population density is associated with higher SARS‐CoV‐2 incidence.
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Affiliation(s)
- Martin Häusler
- RWTH Aachen University Hospital, Division of Neuropediatrics & Social Pediatrics, Department of Pediatrics, Pauwelsstr. 30, D-52074, Aachen, Germany
| | - Michael Kleines
- RWTH Aachen University Hospital, Laboratory Diagnostic Center, Aachen, Germany
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7
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Sedighi I, Fahimzad A, Pak N, Khalili M, Shokrollahi MR, Heydari H, Movahedi Z, Dashti AS, Cheraghali F, Shamsizadeh A, Mirkarimi M, Alisamir M, Hashemian H, Soltani J, Hosseininasab A, Hamedi A, Rezai MS, Sayyahfar S, Kahbazi M, Abedini A, Akhondzadeh A, Sherkatolabbasieh HR, Razlansari AA, Alibeik M, Malayeri SO, Shalchi Z, Shahabinezhad A, Asl PK, Monfared FN, Maleki S, Kakavand R, Farahmand M, Shahbaz B, Tavakoli A, Rezayat SA, Karimi MR, Erfani Y, Jafarpour A, Soltani S, Zandi M, Ghaziasadi A, Dowran R, Azimi S, Marvi SS, Abazari MF, Norouzi M, Azhar IR, Jazayeri SM. A multicenter retrospective study of clinical features, laboratory characteristics, and outcomes of 166 hospitalized children with coronavirus disease 2019 (COVID-19): A preliminary report from Iranian Network for Research in Viral Diseases (INRVD). Pediatr Pulmonol 2022; 57:498-507. [PMID: 34779156 PMCID: PMC8661970 DOI: 10.1002/ppul.25756] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 09/20/2021] [Accepted: 11/06/2021] [Indexed: 01/10/2023]
Abstract
BACKGROUND The objectives of this study were to analyze the clinical features and laboratory profiles and risk factors associated with critical illness of children with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). METHODS One hundred and sixty-six coronavirus disease 2019 (COVID-19) Iranian pediatric patients were recruited through a collaborative research network between March and May 2020. Demographics, clinical, laboratory, and radiological results were obtained from patient files. RESULTS Of 166 patients, 102 (61%) and 64 (39%) were males and females, respectively. Ninety-six (57.8%) and 70 (42.2%), had moderate and severe conditions, respectively. Thirty (18%) of patients died. The common symptoms were fever (73%), cough (54%), and shortness of breath, headache decrease in neutrophil and platelet counts; increase values in lactate dehydrogenase, decrease in the blood pH and HCO3 were significantly associated with the disease severity. 54% and 56% of patients showed abnormal radiographic appearance in Chest X-ray and in chest computed tomography scan, respectively. Sixty-one (36.7%) of patients were referred to intensive care unit (ICU). The coexistence of comorbidity was the main factor associated with ICU admission, shock, arrhythmia, acute kidney injury, acute respiratory distress syndrome, acute cardiac injury, and death. CONCLUSIONS We describe a higher than previously recognized rate of COVID-19 mortality in Iranian pediatric patients. Epidemiological factors, such as the relatively high case fatality rate in the country and the presence of underlying diseases were the main factors for the high death rate.
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Affiliation(s)
- Iraj Sedighi
- Department of Pediatric, Faculty of MedicineHamadan University of Medical SciencesHamadanIran
- Iranian Network for Research in Viral Diseases (INRVD)
| | - Alireza Fahimzad
- Iranian Network for Research in Viral Diseases (INRVD)
- Pediatric Infectious Diseases Research CenterShahid Beheshti University of Medical SciencesTehranIran
| | - Neda Pak
- Iranian Network for Research in Viral Diseases (INRVD)
- Children Medical Centre of ExcellenceTehran University of Medical SciencesTehranIran
| | - Mitra Khalili
- Iranian Network for Research in Viral Diseases (INRVD)
- Department of Radiology, Mofid Children HospitalShahid Beheshti University of Medical SciencesTehranIran
| | - Mohammad R. Shokrollahi
- Iranian Network for Research in Viral Diseases (INRVD)
- Pediatric Medicine Research CenterQom University of Medical SciencesQomIran
| | - Hosein Heydari
- Iranian Network for Research in Viral Diseases (INRVD)
- Pediatric Medicine Research CenterQom University of Medical SciencesQomIran
| | - Zahra Movahedi
- Iranian Network for Research in Viral Diseases (INRVD)
- Pediatric Medicine Research CenterQom University of Medical SciencesQomIran
| | - Anahita S. Dashti
- Iranian Network for Research in Viral Diseases (INRVD)
- Alborzi Clinical Microbiology Research Center, Nemazee HospitalShiraz University of Medical SciencesShirazIran
| | - Fatemeh Cheraghali
- Iranian Network for Research in Viral Diseases (INRVD)
- Department of Pediatric, Faculty of MedicineGolestan University of Medical SciencesGorganIran
| | - Ahmad Shamsizadeh
- Iranian Network for Research in Viral Diseases (INRVD)
- Infectious and Tropical Diseases Research Center, Health Research InstituteAhvaz Jundishapur University of Medical SciencesAhvazIran
| | - Mohammadreza Mirkarimi
- Iranian Network for Research in Viral Diseases (INRVD)
- Infectious and Tropical Diseases Research Center, Health Research InstituteAhvaz Jundishapur University of Medical SciencesAhvazIran
| | - Mohsen Alisamir
- Iranian Network for Research in Viral Diseases (INRVD)
- Infectious and Tropical Diseases Research Center, Health Research InstituteAhvaz Jundishapur University of Medical SciencesAhvazIran
| | - Houman Hashemian
- Iranian Network for Research in Viral Diseases (INRVD)
- Pediatric Diseases Research CenterGuilan University of Medical SciencesRashtIran
| | - Jafar Soltani
- Iranian Network for Research in Viral Diseases (INRVD)
- Department of Pediatrics, Faculty of MedicineKurdistan University of Medical SciencesSanandajIran
| | - Ali Hosseininasab
- Iranian Network for Research in Viral Diseases (INRVD)
- Infectious and Tropical Research CenterKerman University of Medical SciencesKermanIran
| | - Abdolkarim Hamedi
- Iranian Network for Research in Viral Diseases (INRVD)
- Infection Control Hand and Hygiene Research Center, Faculty of MedicineMashhad University of Medical SciencesMashhadIran
| | - Mohammad S. Rezai
- Iranian Network for Research in Viral Diseases (INRVD)
- Pediatric Infectious Diseases Research Center, Communicable Diseases InstituteMazandaran University of Medical SciencesSariIran
| | - Shirin Sayyahfar
- Iranian Network for Research in Viral Diseases (INRVD)
- Research Center of Pediatric Infectious Diseases, Institute of Immunology and Infectious DiseasesIran University of Medical SciencesTehranIran
| | - Manijeh Kahbazi
- Iranian Network for Research in Viral Diseases (INRVD)
- Infectious Diseases Research Center (IDRC)Arak University of Medical SciencesArakIran
| | - Aliakbar Abedini
- Iranian Network for Research in Viral Diseases (INRVD)
- Department of Pediatric Infectious Disease, Faculty of Medicine, Children, Clinical Research Development CenterTabriz University of Medical SciencesTabrizIran
| | - Afsaneh Akhondzadeh
- Iranian Network for Research in Viral Diseases (INRVD)
- Department of PediatricsArak University of Medical SciencesArakIran
| | - Hamid R. Sherkatolabbasieh
- Iranian Network for Research in Viral Diseases (INRVD)
- Department of PediatricsLorestan University of medical SciencesKhorramabadIran
| | - Ali Akbar Razlansari
- Iranian Network for Research in Viral Diseases (INRVD)
- Department of PediatricsLorestan University of medical SciencesKhorramabadIran
| | - Mina Alibeik
- Iranian Network for Research in Viral Diseases (INRVD)
- Pediatric Infectious Diseases Research Center, Mofid Children HospitalShahid Beheshti University of Medical SciencesTehranIran
| | - Soheil Omid Malayeri
- Iranian Network for Research in Viral Diseases (INRVD)
- Health Clinical Sciences Research Center, Zahedan BranchIslamic Azad UniversityZahedanIran
| | - Zohreh Shalchi
- Department of Pediatric, Faculty of MedicineHamadan University of Medical SciencesHamadanIran
- Iranian Network for Research in Viral Diseases (INRVD)
| | - Ali Shahabinezhad
- Iranian Network for Research in Viral Diseases (INRVD)
- Joint Reconstruction Research Center, Imam Khomeini HospitalTehran University of Medical SciencesTehranIran
| | - Parinaz K. Asl
- Iranian Network for Research in Viral Diseases (INRVD)
- International BranchGolestsn University of Medical SciencesGorganIran
| | - Fatemeh N. Monfared
- Iranian Network for Research in Viral Diseases (INRVD)
- Department of Virology, School of Public HealthTehran University of Medical SciencesTehranIran
| | - Shiva Maleki
- Iranian Network for Research in Viral Diseases (INRVD)
- Department of Virology, Faculty of Medical SciencesTarbiat Modares UniversityTehranIran
| | - Rezvan Kakavand
- Iranian Network for Research in Viral Diseases (INRVD)
- Department of Virology, Faculty of Medical SciencesTarbiat Modares UniversityTehranIran
| | - Mohammad Farahmand
- Iranian Network for Research in Viral Diseases (INRVD)
- Department of Virology, School of Public HealthTehran University of Medical SciencesTehranIran
| | - Babak Shahbaz
- Iranian Network for Research in Viral Diseases (INRVD)
- Department of Virology, School of Public HealthTehran University of Medical SciencesTehranIran
| | - Ahmad Tavakoli
- Iranian Network for Research in Viral Diseases (INRVD)
- Department of Medical Virology, Faculty of MedicineIran University of Medical SciencesTehranIran
- Research Center of Pediatric Infectious Diseases, Institute of Immunology and Infectious DiseasesIran University of Medical SciencesTehranIran
| | - Sara A. Rezayat
- Iranian Network for Research in Viral Diseases (INRVD)
- Department of Health Care Management and Economics, School of Public HealthTehran University of Medical SciencesTehranIran
| | - Mohammad R. Karimi
- Iranian Network for Research in Viral Diseases (INRVD)
- Department of Laboratory Sciences, School of Allied Medical SciencesTehran University of Medical SciencesTehranIran
| | - Yousef Erfani
- Iranian Network for Research in Viral Diseases (INRVD)
- Department of Laboratory Sciences, School of Allied Medical SciencesTehran University of Medical SciencesTehranIran
| | - Ali Jafarpour
- Iranian Network for Research in Viral Diseases (INRVD)
- Department of Virology, School of Public HealthTehran University of Medical SciencesTehranIran
- Research Center For Clinical VirologyTehran University of Medical SciencesTehranIran
| | - Saber Soltani
- Iranian Network for Research in Viral Diseases (INRVD)
- Department of Virology, School of Public HealthTehran University of Medical SciencesTehranIran
- Research Center For Clinical VirologyTehran University of Medical SciencesTehranIran
| | - Milad Zandi
- Iranian Network for Research in Viral Diseases (INRVD)
- Department of Virology, School of Public HealthTehran University of Medical SciencesTehranIran
- Research Center For Clinical VirologyTehran University of Medical SciencesTehranIran
| | - Azam Ghaziasadi
- Iranian Network for Research in Viral Diseases (INRVD)
- Department of Virology, School of Public HealthTehran University of Medical SciencesTehranIran
- Research Center For Clinical VirologyTehran University of Medical SciencesTehranIran
| | - Razieh Dowran
- Iranian Network for Research in Viral Diseases (INRVD)
- Department of Virology, School of Public HealthTehran University of Medical SciencesTehranIran
- Research Center For Clinical VirologyTehran University of Medical SciencesTehranIran
| | - Shohreh Azimi
- Iranian Network for Research in Viral Diseases (INRVD)
- Research Center For Clinical VirologyTehran University of Medical SciencesTehranIran
| | - Shima S. Marvi
- Iranian Network for Research in Viral Diseases (INRVD)
- Department of Virology, School of Public HealthTehran University of Medical SciencesTehranIran
- Research Center For Clinical VirologyTehran University of Medical SciencesTehranIran
| | - Mohammad F. Abazari
- Iranian Network for Research in Viral Diseases (INRVD)
- Research Center For Clinical VirologyTehran University of Medical SciencesTehranIran
| | - Mehdi Norouzi
- Iranian Network for Research in Viral Diseases (INRVD)
- Department of Virology, School of Public HealthTehran University of Medical SciencesTehranIran
- Research Center For Clinical VirologyTehran University of Medical SciencesTehranIran
| | - Iman R. Azhar
- Iranian Network for Research in Viral Diseases (INRVD)
- Department of Virology, School of Public HealthTehran University of Medical SciencesTehranIran
- Research Center For Clinical VirologyTehran University of Medical SciencesTehranIran
| | - Seyed M. Jazayeri
- Iranian Network for Research in Viral Diseases (INRVD)
- Department of Virology, School of Public HealthTehran University of Medical SciencesTehranIran
- Research Center For Clinical VirologyTehran University of Medical SciencesTehranIran
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8
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Heireman L, Abrams S, Bruynseels P, Cartuyvels R, Cuypers L, De Schouwer P, Laffut W, Lagrou K, Hens N, Ho E, Padalko E, Reynders M, Vandamme S, Van der Moeren N, Verstrepen W, Willems P, Naesens R. Evaluation of the SARS-CoV-2 positivity ratio and upper respiratory tract viral load among asymptomatic individuals screened before hospitalization or surgery in Flanders, Belgium. PLoS One 2021; 16:e0259908. [PMID: 34762704 PMCID: PMC8584712 DOI: 10.1371/journal.pone.0259908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 10/28/2021] [Indexed: 11/18/2022] Open
Abstract
INTRODUCTION The incidence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infections in the Belgian community is mainly estimated based on test results of patients with coronavirus disease (COVID-19)-like symptoms. The aim of this study was to investigate the evolution of the SARS-CoV-2 reverse transcriptase polymerase chain reaction (RT-PCR) positivity ratio and distribution of viral loads within a cohort of asymptomatic patients screened prior hospitalization or surgery, stratified by age category. MATERIALS/METHODS We retrospectively studied data on SARS-CoV-2 real-time RT-PCR detection in respiratory tract samples of asymptomatic patients screened pre-hospitalization or pre-surgery in nine Belgian hospitals located in Flanders over a 12-month period (1 April 2020-31 March 2021). RESULTS In total, 255925 SARS-CoV-2 RT-PCR test results and 2421 positive results for which a viral load was reported, were included in this study. An unweighted overall SARS-CoV-2 real-time RT-PCR positivity ratio of 1.27% was observed with strong spatiotemporal differences. SARS-CoV-2 circulated predominantly in 80+ year old individuals across all time periods except between the first and second COVID-19 wave and in 20-30 year old individuals before the second COVID-19 wave. In contrast to the first wave, a significantly higher positivity ratio was observed for the 20-40 age group in addition to the 80+ age group compared to the other age groups during the second wave. The median viral load follows a similar temporal evolution as the positivity rate with an increase ahead of the second wave and highest viral loads observed for 80+ year old individuals. CONCLUSION There was a high SARS-CoV-2 circulation among asymptomatic patients with a predominance and highest viral loads observed in the elderly. Moreover, ahead of the second COVID-19 wave an increase in median viral load was noted with the highest overall positivity ratio observed in 20-30 year old individuals, indicating they could have been the hidden drivers of this wave.
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Affiliation(s)
- Laura Heireman
- Department of Laboratory Medicine, ZiekenhuisNetwerk Antwerpen, Antwerp, Belgium
| | - Steven Abrams
- Data Science Institute, Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BioStat), UHasselt, Hasselt, Belgium
- Global Health Institute, Family Medicine and Population Health, University of Antwerp, Antwerp, Belgium
| | - Peggy Bruynseels
- Department of Laboratory Medicine, ZiekenhuisNetwerk Antwerpen, Antwerp, Belgium
| | | | - Lize Cuypers
- Department of Laboratory Medicine and National Reference Center for Respiratory Pathogens, University Hospitals Leuven, Leuven, Belgium
| | - Pieter De Schouwer
- Department of Laboratory Medicine, ZiekenhuisNetwerk Antwerpen, Antwerp, Belgium
| | - Wim Laffut
- Department of Laboratory Medicine, Heilig Hart Hospital, Lier, Belgium
| | - Katrien Lagrou
- Department of Laboratory Medicine and National Reference Center for Respiratory Pathogens, University Hospitals Leuven, Leuven, Belgium
| | - Niel Hens
- Data Science Institute, Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BioStat), UHasselt, Hasselt, Belgium
- Centre for Health Economic Research and Modelling Infectious Diseases, University of Antwerp, Antwerp, Belgium
| | - Erwin Ho
- Department of Laboratory Medicine, Sint-Maarten Hospital, Mechelen, Belgium
| | - Elizaveta Padalko
- Department of Laboratory Medicine, University Hospital Ghent, Ghent, Belgium
| | - Marijke Reynders
- Department of Laboratory Medicine, Sint-Jan Hospital, Bruges, Belgium
| | - Sarah Vandamme
- Department of Laboratory Medicine, Antwerp University Hospital, Antwerp, Belgium
| | | | - Walter Verstrepen
- Department of Laboratory Medicine, ZiekenhuisNetwerk Antwerpen, Antwerp, Belgium
| | - Philippe Willems
- Department of Laboratory Medicine GasthuisZusters Antwerpen, Antwerp, Belgium
| | - Reinout Naesens
- Department of Laboratory Medicine, ZiekenhuisNetwerk Antwerpen, Antwerp, Belgium
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9
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Petrara MR, Bonfante F, Costenaro P, Cantarutti A, Carmona F, Ruffoni E, Di Chiara C, Zanchetta M, Barzon L, Donà D, Da Dalt L, Bortolami A, Pagliari M, Plebani M, Rossi P, Cotugno N, Palma P, Giaquinto C, De Rossi A. Asymptomatic and Mild SARS-CoV-2 Infections Elicit Lower Immune Activation and Higher Specific Neutralizing Antibodies in Children Than in Adults. Front Immunol 2021; 12:741796. [PMID: 34659235 PMCID: PMC8515185 DOI: 10.3389/fimmu.2021.741796] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 09/10/2021] [Indexed: 12/24/2022] Open
Abstract
Background The immune response plays a pivotal role in dictating the clinical outcome in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-infected adults, but it is still poorly investigated in the pediatric population. Methods Of 209 enrolled subjects, 155 patients were confirmed by PCR and/or serology as having coronavirus disease 2019 (COVID-19). Blood samples were obtained at a median of 2.8 (interquartile, 2.1–3.7) and 6.1 (5.3–7.2) months after baseline (symptom onset and/or first positive virus detection). The immune profiles of activation, senescence, exhaustion, and regulatory cells were analyzed by flow cytometry. Neutralizing antibodies (nAbs) were detected by a plaque reduction neutralization test. In available nasopharyngeal swabs at baseline, SARS-CoV-2 levels were quantified by digital droplet PCR (ddPCR). Results Overall, COVID-19 patients had higher levels of immune activation, exhaustion, and regulatory cells compared to non-COVID-19 subjects. Within the COVID-19 group, activated and senescent cells were higher in adults than in children and inversely correlated with the nAbs levels. Conversely, Tregs and Bregs regulatory cells were higher in COVID-19 children compared to adults and positively correlated with nAbs. Higher immune activation still persisted in adults after 6 months of infection, while children maintained higher levels of regulatory cells. SARS-CoV-2 levels did not differ among age classes. Conclusions Adults displayed higher immune activation and lower production of anti-SARS-CoV-2 nAbs than children. The different immune response was not related to different viral load. The higher expression of regulatory cells in children may contribute to reduce the immune activation, thus leading to a greater specific response against the virus.
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Affiliation(s)
- Maria Raffaella Petrara
- Oncology and Immunology Section, Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy
| | - Francesco Bonfante
- Department of Comparative Biomedical Sciences, Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), Virology Laboratory, Legnaro, Italy
| | - Paola Costenaro
- Division of Pediatric Infectious Diseases, Department for Women's and Children's Health, University of Padova, Padova, Italy
| | - Anna Cantarutti
- Laboratory of Healthcare Research and Pharmacoepidemiology, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milano, Italy
| | - Francesco Carmona
- Immunology and Diagnostic Molecular Oncology Unit, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy
| | - Elena Ruffoni
- Immunology and Diagnostic Molecular Oncology Unit, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy
| | - Costanza Di Chiara
- Division of Pediatric Infectious Diseases, Department for Women's and Children's Health, University of Padova, Padova, Italy
| | - Marisa Zanchetta
- Immunology and Diagnostic Molecular Oncology Unit, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy
| | - Luisa Barzon
- Department of Molecular Medicine, University of Padova, Padova, Italy
| | - Daniele Donà
- Division of Pediatric Infectious Diseases, Department for Women's and Children's Health, University of Padova, Padova, Italy
| | - Liviana Da Dalt
- Division of Pediatric Infectious Diseases, Department for Women's and Children's Health, University of Padova, Padova, Italy
| | - Alessio Bortolami
- Department of Comparative Biomedical Sciences, Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), Virology Laboratory, Legnaro, Italy
| | - Matteo Pagliari
- Department of Comparative Biomedical Sciences, Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), Virology Laboratory, Legnaro, Italy
| | - Mario Plebani
- Department of Laboratory Medicine, University-Hospital of Padova, Padova, Italy.,Department of Medicine-DIMED, University of Padova, Padova, Italy
| | - Paolo Rossi
- Clinical and Research Unit of Clinical Immunology and Vaccinology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.,Chair of Pediatrics, Department of Systems Medicine, University of Rome "Tor Vergata", Roma, Italy
| | - Nicola Cotugno
- Clinical and Research Unit of Clinical Immunology and Vaccinology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.,Chair of Pediatrics, Department of Systems Medicine, University of Rome "Tor Vergata", Roma, Italy
| | - Paolo Palma
- Clinical and Research Unit of Clinical Immunology and Vaccinology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.,Chair of Pediatrics, Department of Systems Medicine, University of Rome "Tor Vergata", Roma, Italy
| | - Carlo Giaquinto
- Division of Pediatric Infectious Diseases, Department for Women's and Children's Health, University of Padova, Padova, Italy
| | - Anita De Rossi
- Oncology and Immunology Section, Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy.,Immunology and Diagnostic Molecular Oncology Unit, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy
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10
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Campos M, Sempere JM, Galán JC, Moya A, Llorens C, de-Los-Angeles C, Baquero-Artigao F, Cantón R, Baquero F. Simulating the impact of non-pharmaceutical interventions limiting transmission in COVID-19 epidemics using a membrane computing model. ACTA ACUST UNITED AC 2021; 2:uqab011. [PMID: 34642663 PMCID: PMC8499911 DOI: 10.1093/femsml/uqab011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 09/03/2021] [Indexed: 01/08/2023]
Abstract
Epidemics caused by microbial organisms are part of the natural phenomena of increasing biological complexity. The heterogeneity and constant variability of hosts, in terms of age, immunological status, family structure, lifestyle, work activities, social and leisure habits, daily division of time and other demographic characteristics make it extremely difficult to predict the evolution of epidemics. Such prediction is, however, critical for implementing intervention measures in due time and with appropriate intensity. General conclusions should be precluded, given that local parameters dominate the flow of local epidemics. Membrane computing models allows us to reproduce the objects (viruses and hosts) and their interactions (stochastic but also with defined probabilities) with an unprecedented level of detail. Our LOIMOS model helps reproduce the demographics and social aspects of a hypothetical town of 10 320 inhabitants in an average European country where COVID-19 is imported from the outside. The above-mentioned characteristics of hosts and their lifestyle are minutely considered. For the data in the Hospital and the ICU we took advantage of the observations at the Nursery Intensive Care Unit of the Consortium University General Hospital, Valencia, Spain (included as author). The dynamics of the epidemics are reproduced and include the effects on viral transmission of innate and acquired immunity at various ages. The model predicts the consequences of delaying the adoption of non-pharmaceutical interventions (between 15 and 45 days after the first reported cases) and the effect of those interventions on infection and mortality rates (reducing transmission by 20, 50 and 80%) in immunological response groups. The lockdown for the elderly population as a single intervention appears to be effective. This modeling exercise exemplifies the application of membrane computing for designing appropriate multilateral interventions in epidemic situations.
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Affiliation(s)
- M Campos
- Department of Microbiology, Ramón y Cajal University Hospital, M-607, km 9,1 28034 Madrid, Spain
| | - J M Sempere
- Valencian Research Institute for Artificial Intelligence (VRAIN), Universitat Politècnica de Valencia, Camí de Vera s/n, 46022 Valencia, Spain
| | - J C Galán
- Department of Microbiology, Ramón y Cajal University Hospital, M-607, km 9,1 28034 Madrid, Spain
| | - A Moya
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, M-607, km 9,1. 28034 Madrid, Spain
| | - C Llorens
- Biotechvana, Valencia, CEEI Building, Valencia Technological Park., C. agustín Escardino 9, 46980, Paterna, Valencia, Spain
| | - C de-Los-Angeles
- Nursery Unit, Intensive Care Unit and Pain Therapy, Consortium University General Hospital (CHGUV)., Av. Tres Cruces 2, 46014 Valencia, Spain
| | - F Baquero-Artigao
- Department of Infectious Diseases and Tropical Pediatrics, La Paz University Hospital., Av. Monforte de Lemos 2D, 28029 Madrid, Spain
| | - R Cantón
- Department of Microbiology, Ramón y Cajal University Hospital, M-607, km 9,1 28034 Madrid, Spain
| | - F Baquero
- Department of Microbiology, Ramón y Cajal University Hospital, M-607, km 9,1 28034 Madrid, Spain
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11
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Vono M, Huttner A, Lemeille S, Martinez-Murillo P, Meyer B, Baggio S, Sharma S, Thiriard A, Marchant A, Godeke GJ, Reusken C, Alvarez C, Perez-Rodriguez F, Eckerle I, Kaiser L, Loevy N, Eberhardt CS, Blanchard-Rohner G, Siegrist CA, Didierlaurent AM. Robust innate responses to SARS-CoV-2 in children resolve faster than in adults without compromising adaptive immunity. Cell Rep 2021; 37:109773. [PMID: 34587479 PMCID: PMC8440231 DOI: 10.1016/j.celrep.2021.109773] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 06/25/2021] [Accepted: 09/07/2021] [Indexed: 12/13/2022] Open
Abstract
SARS-CoV-2 infection in children is less severe than it is in adults. We perform a longitudinal analysis of the early innate responses in children and adults with mild infection within household clusters. Children display fewer symptoms than adults do, despite similar initial viral load, and mount a robust anti-viral immune signature typical of the SARS-CoV-2 infection and characterized by early interferon gene responses; increases in cytokines, such as CXCL10 and GM-CSF; and changes in blood cell numbers. When compared with adults, the antiviral response resolves faster (within a week of symptoms), monocytes and dendritic cells are more transiently activated, and genes associated with B cell activation appear earlier in children. Nonetheless, these differences do not have major effects on the quality of SARS-CoV-2-specific antibody responses. Our findings reveal that better early control of inflammation as observed in children may be key for rapidly controlling infection and limiting the disease course.
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Affiliation(s)
- Maria Vono
- Center of Vaccinology, Department of Pathology and Immunology, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Angela Huttner
- Center of Vaccinology, Department of Pathology and Immunology, Faculty of Medicine, University of Geneva, Geneva, Switzerland; University of Geneva Medical School, Geneva, Switzerland; Division of Infectious Diseases, Geneva University Hospitals, Geneva, Switzerland; Center for Clinical Research, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Sylvain Lemeille
- Center of Vaccinology, Department of Pathology and Immunology, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Paola Martinez-Murillo
- Center of Vaccinology, Department of Pathology and Immunology, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Benjamin Meyer
- Center of Vaccinology, Department of Pathology and Immunology, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Stephanie Baggio
- Division of Prison Health, Geneva University Hospitals, Geneva, Switzerland; Office of Corrections, Department of Justice and Home Affairs of the Canton of Zurich, Zurich, Switzerland
| | - Shilpee Sharma
- Institute for Medical Immunology, Université libre de Bruxelles, Charleroi, Belgium
| | - Anais Thiriard
- Institute for Medical Immunology, Université libre de Bruxelles, Charleroi, Belgium
| | - Arnaud Marchant
- Institute for Medical Immunology, Université libre de Bruxelles, Charleroi, Belgium
| | - Gert-Jan Godeke
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Chantal Reusken
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Catia Alvarez
- Department of Microbiology and Molecular Medicine, Faculty of Medicine, University of Geneva, 1205 Geneva, Switzerland
| | - Francisco Perez-Rodriguez
- University of Geneva Medical School, Geneva, Switzerland; Division of Infectious Diseases, Geneva University Hospitals, Geneva, Switzerland
| | - Isabella Eckerle
- Division of Infectious Diseases, Geneva University Hospitals, Geneva, Switzerland; Department of Microbiology and Molecular Medicine, Faculty of Medicine, University of Geneva, 1205 Geneva, Switzerland; Laboratory of Virology, Division of Laboratory Medicine, Geneva University Hospitals, Geneva, Switzerland; Geneva Centre for Emerging Viral Diseases, Geneva University Hospitals, Geneva, Switzerland
| | - Laurent Kaiser
- Division of Infectious Diseases, Geneva University Hospitals, Geneva, Switzerland; Department of Microbiology and Molecular Medicine, Faculty of Medicine, University of Geneva, 1205 Geneva, Switzerland; Laboratory of Virology, Division of Laboratory Medicine, Geneva University Hospitals, Geneva, Switzerland; Geneva Centre for Emerging Viral Diseases, Geneva University Hospitals, Geneva, Switzerland
| | - Natasha Loevy
- Pediatric Platform for Clinical Research, Department of Woman, Child and Adolescent Medicine, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Christiane S Eberhardt
- Center of Vaccinology, Department of Pathology and Immunology, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Geraldine Blanchard-Rohner
- Center of Vaccinology, Department of Pathology and Immunology, Faculty of Medicine, University of Geneva, Geneva, Switzerland; Unit of Immunology and Vaccinology, Division of General Pediatrics, Department of Pediatrics, Gynecology and Obstetrics, Geneva University Hospitals, University of Geneva, Geneva, Switzerland
| | - Claire-Anne Siegrist
- Center of Vaccinology, Department of Pathology and Immunology, Faculty of Medicine, University of Geneva, Geneva, Switzerland; University of Geneva Medical School, Geneva, Switzerland
| | - Arnaud M Didierlaurent
- Center of Vaccinology, Department of Pathology and Immunology, Faculty of Medicine, University of Geneva, Geneva, Switzerland; Geneva Centre for Emerging Viral Diseases, Geneva University Hospitals, Geneva, Switzerland.
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12
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Costa R, Bueno F, Albert E, Torres I, Carbonell-Sahuquillo S, Barrés-Fernández A, Sánchez D, Padrón C, Colomina J, Lázaro Carreño MI, Bretón-Martínez JR, Martínez-Costa C, Navarro D. Upper respiratory tract SARS-CoV-2 RNA loads in symptomatic and asymptomatic children and adults. Clin Microbiol Infect 2021; 27:1858.e1-1858.e7. [PMID: 34384874 PMCID: PMC8349738 DOI: 10.1016/j.cmi.2021.08.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 07/14/2021] [Accepted: 08/01/2021] [Indexed: 12/16/2022]
Abstract
OBJECTIVES Studies comparing SARS-CoV-2 RNA load in the upper respiratory tract (URT) between children and adults, either presenting with COVID-19 or asymptomatic have yielded inconsistent results. Here, we conducted a retrospective, single center study to address this issue. PATIENTS AND METHODS 1,184 consecutive subjects (256 children and 928 adults) testing positive for SARS-COV-2 RNA in nasopharyngeal exudates (NP), of whom 424 (121 children and 303 adults) had COVID-19 and 760 (135 children and 625 adults) were asymptomatic close contacts of COVID-19 patients. SARS-CoV-2 RNA testing was carried out using the TaqPath COVID-19 Combo Kit (Thermo Fisher Scientific, MS, USA). The AMPLIRUN® TOTAL SARS-CoV-2 RNA Control (Vircell SA, Granada, Spain) was used for estimating SARS-CoV-2 RNA loads (in copies/mL). SARS-CoV-2 RNA loads at the time of laboratory diagnosis (single specimen/patient) were used for comparison purposes. RESULTS Median initial SARS-COV-2 RNA load was lower (P=0.094) in children (6.98 log10 copies/ml; range, 3.0-11.7) than in adults (7.14 log10 copies/ml; range, 2.2.-13.4) with COVID-19. As for asymptomatic individuals, median SARS-CoV-2 RNA load was comparable (P=0.97) in children (6.20 log10 copies/ml; range, 1.8-11.6) and adults (6.48 log10 copies/ml; range, 1.9-11.8). Children with COVID-19 symptoms displayed SARS-CoV-2 RNA loads (6.98 log10 copies/ml; range, 3.0-11.7) comparable to their asymptomatic counterparts (6.20 log10 copies/ml; range, 1.8-11.6) (P=0.61). Meanwhile in adults, median SARS-CoV-2 RNA load was significantly higher in symptomatic (7.14 log10 copies/ml; range, 2.2.-13.4) than in asymptomatic subjects (6.48 log10 copies/ml; range, 1.9-11.8) (P=<0.001). Overall, a faster URT SARS-CoV-2 RNA clearance rate was observed in children than in adults. CONCLUSIONS Based on viral load data at the time of diagnosis, our results suggested that SARS-CoV-2 infected children, with or without COVID-19, may display NP viral loads of comparable magnitude to that found in their adult counterparts; However, children may have shorter viral shedding as compared to adults.
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Affiliation(s)
- Rosa Costa
- Microbiology Service, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
| | - Felipe Bueno
- Microbiology Service, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
| | - Eliseo Albert
- Microbiology Service, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
| | - Ignacio Torres
- Microbiology Service, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
| | | | | | - David Sánchez
- Microbiology Service, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
| | - Carmelo Padrón
- Microbiology Service, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
| | - Javier Colomina
- Microbiology Service, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
| | - María Isabel Lázaro Carreño
- Pediatric Department, Hospital Clínico Universitario, Valencia, Spain; Department of Pediatrics, University of Valencia, Valencia, Spain
| | - José Rafael Bretón-Martínez
- Pediatric Department, Hospital Clínico Universitario, Valencia, Spain; Department of Pediatrics, University of Valencia, Valencia, Spain
| | - Cecilia Martínez-Costa
- Pediatric Department, Hospital Clínico Universitario, Valencia, Spain; Department of Pediatrics, University of Valencia, Valencia, Spain
| | - David Navarro
- Microbiology Service, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain; Department of Microbiology, School of Medicine, University of Valencia, Valencia, Spain.
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13
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Cendejas-Bueno E, Romero-Gómez MP, Escosa-García L, Jiménez-Rodríguez S, Mingorance J, García-Rodríguez J. Lower nasopharyngeal viral loads in pediatric population. The missing piece to understand SARS-CoV-2 infection in children? J Infect 2021; 83:e18-e19. [PMID: 34133963 PMCID: PMC8198541 DOI: 10.1016/j.jinf.2021.06.009] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 06/09/2021] [Indexed: 11/26/2022]
Abstract
SARS-CoV-2 virus infects children but, contrary to other respiratory viruses, children tend to be asymptomatic or to have less symptoms than adults and are rarely the index case in household transmission chains. The aim of this study was to compare the relative viral loads in nasopharyngeal samples from children aged 0 to 17 years with those of an adult population. We selected 126 positive nasopharyngeal samples from children. Relative viral loads were measured by RT-PCR and the comparative ∆Ct method using primers and probes targeting the viral gene E and the human RNAseP. Relative viral loads were significantly lower in the children population than in the adult one.
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Affiliation(s)
- Emilio Cendejas-Bueno
- Servicio de Microbiología y Parasitología, Hospital Universitario La Paz - IdiPaz, Madrid, Spain.
| | - María P Romero-Gómez
- Servicio de Microbiología y Parasitología, Hospital Universitario La Paz - IdiPaz, Madrid, Spain
| | - Luis Escosa-García
- Servicio de Pediatría Hospitalaria, Enfermedades Infecciosas y Tropicales, Hospital Universitario La Paz, Madrid. RITIP (Red de Investigación Translacional en Infectología Pediátrica), Spain
| | - Sonia Jiménez-Rodríguez
- Servicio de Microbiología y Parasitología, Hospital Universitario La Paz - IdiPaz, Madrid, Spain
| | - Jesús Mingorance
- Servicio de Microbiología y Parasitología, Hospital Universitario La Paz - IdiPaz, Madrid, Spain
| | - Julio García-Rodríguez
- Servicio de Microbiología y Parasitología, Hospital Universitario La Paz - IdiPaz, Madrid, Spain
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14
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Makhoul M, Chemaitelly H, Ayoub HH, Seedat S, Abu-Raddad LJ. Epidemiological Differences in the Impact of COVID-19 Vaccination in the United States and China. Vaccines (Basel) 2021; 9:223. [PMID: 33807647 PMCID: PMC8002114 DOI: 10.3390/vaccines9030223] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 02/04/2021] [Accepted: 03/02/2021] [Indexed: 01/08/2023] Open
Abstract
This study forecasts Coronavirus Disease 2019 (COVID-19) vaccination impact in two countries at different epidemic phases, the United States (US) and China. We assessed the impact of both a vaccine that prevents infection (VES of 95%) and a vaccine that prevents only disease (VEP of 95%) through mathematical modeling. For VES of 95% and gradual easing of restrictions, vaccination in the US reduced the peak incidence of infection, disease, and death by >55% and cumulative incidence by >32% and in China by >77% and >65%, respectively. Nearly three vaccinations were needed to avert one infection in the US, but only one was needed in China. For VEP of 95%, vaccination benefits were half those for VES of 95%. In both countries, impact of vaccination was substantially enhanced with rapid scale-up, vaccine coverage >50%, and slower or no easing of restrictions, particularly in the US. COVID-19 vaccination can flatten, delay, and/or prevent future epidemic waves. However, vaccine impact is destined to be heterogeneous across countries because of an underlying "epidemiologic inequity" that reduces benefits for countries already at high incidence, such as the US. Despite 95% efficacy, actual vaccine impact could be meager in such countries if vaccine scale-up is slow, acceptance is poor, or restrictions are eased prematurely.
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Affiliation(s)
- Monia Makhoul
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation-Education City, Doha 24144, Qatar; (M.M.); (H.C.); (S.S.)
- World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine–Qatar, Cornell University, Qatar Foundation–Education City, Doha 24144, Qatar
- Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY 10022, USA
| | - Hiam Chemaitelly
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation-Education City, Doha 24144, Qatar; (M.M.); (H.C.); (S.S.)
- World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine–Qatar, Cornell University, Qatar Foundation–Education City, Doha 24144, Qatar
| | - Houssein H. Ayoub
- Department of Mathematics, Statistics, and Physics, Qatar University, Doha 2713, Qatar;
| | - Shaheen Seedat
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation-Education City, Doha 24144, Qatar; (M.M.); (H.C.); (S.S.)
- World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine–Qatar, Cornell University, Qatar Foundation–Education City, Doha 24144, Qatar
- Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY 10022, USA
| | - Laith J. Abu-Raddad
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation-Education City, Doha 24144, Qatar; (M.M.); (H.C.); (S.S.)
- World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine–Qatar, Cornell University, Qatar Foundation–Education City, Doha 24144, Qatar
- Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY 10022, USA
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15
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Abstract
PURPOSE OF REVIEW SARS-CoV-2 is the novel human coronavirus responsible for the COVID19 pandemic. Accurate detection of infection with SARS-CoV-2 is an essential component of efforts to treat individual patients and to contain spread of the virus in the community. The purpose of this review is to describe current diagnostic modalities for SARS-CoV-2 and outline their use. Special considerations for pediatric age groups are included. RECENT FINDINGS RNA PCR from the upper respiratory tract remains the gold standard for detection of infection with SARS-CoV-2. Antigen testing is being widely deployed as a faster and more convenient alternative to PCR, but is less sensitive and should only be used for diagnosis early after symptom onset. Serologic assays can document prior infection and are helpful in diagnosing multisystem inflammatory syndrome in children. Serologic testing should not be used to diagnose acute or active infection. Immune assays are likely to provide a useful measure of protection against COVID19 in the future as knowledge of protective responses improves. SUMMARY A variety of SARS-CoV-2 diagnostics have recently been developed and deployed. Clinicians should understand the appropriate use and interpretation of RNA PCR, antigen testing and immune assays for SARS-CoV-2 in order to diagnose and treat patients in this evolving pandemic.
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Affiliation(s)
- Paul Spearman
- Infectious Diseases Division, Cincinnati Children's Hospital, University of Cincinnati, Cincinnati, Ohio, USA
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16
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Meidan D, Schulmann N, Cohen R, Haber S, Yaniv E, Sarid R, Barzel B. Alternating quarantine for sustainable epidemic mitigation. Nat Commun 2021; 12:220. [PMID: 33431866 PMCID: PMC7801583 DOI: 10.1038/s41467-020-20324-8] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 11/24/2020] [Indexed: 12/13/2022] Open
Abstract
Absent pharmaceutical interventions, social distancing, lock-downs and mobility restrictions remain our prime response in the face of epidemic outbreaks. To ease their potentially devastating socioeconomic consequences, we propose here an alternating quarantine strategy: at every instance, half of the population remains under lockdown while the other half continues to be active - maintaining a routine of weekly succession between activity and quarantine. This regime minimizes infectious interactions, as it allows only half of the population to interact for just half of the time. As a result it provides a dramatic reduction in transmission, comparable to that achieved by a population-wide lockdown, despite sustaining socioeconomic continuity at ~50% capacity. The weekly alternations also help address the specific challenge of COVID-19, as their periodicity synchronizes with the natural SARS-CoV-2 disease time-scales, allowing to effectively isolate the majority of infected individuals precisely at the time of their peak infection.
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Affiliation(s)
- Dror Meidan
- Department of Mathematics, Bar-Ilan University, Ramat-Gan, Israel
| | - Nava Schulmann
- Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy
- MIMESIS, Inria, Strasbourg, France
| | - Reuven Cohen
- Department of Mathematics, Bar-Ilan University, Ramat-Gan, Israel
| | - Simcha Haber
- Department of Mathematics, Bar-Ilan University, Ramat-Gan, Israel
| | - Eyal Yaniv
- Graduate School of Business Administration, Bar-Ilan University, Ramat-Gan, Israel
| | - Ronit Sarid
- Faculty of Life Sciences & Institute of Nanotechnology and Advanced Materials, Bar-Ilan University, Ramat-Gan, Israel
| | - Baruch Barzel
- Department of Mathematics, Bar-Ilan University, Ramat-Gan, Israel.
- Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat-Gan, Israel.
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17
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Gautret P, Million M, Jarrot PA, Camoin-Jau L, Colson P, Fenollar F, Leone M, La Scola B, Devaux C, Gaubert JY, Mege JL, Vitte J, Melenotte C, Rolain JM, Parola P, Lagier JC, Brouqui P, Raoult D. Natural history of COVID-19 and therapeutic options. Expert Rev Clin Immunol 2020; 16:1159-1184. [PMID: 33356661 DOI: 10.1080/1744666x.2021.1847640] [Citation(s) in RCA: 77] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Introduction: COVID-19 presents benign forms in young patients who frequently present with anosmia. Infants are rarely infected, while severe forms occur in patients over 65 years of age with comorbidities, including hypertension and diabetes. Lymphopenia, eosinopenia, thrombopenia, increased lactate dehydrogenase, troponin, C-reactive protein, D-dimers and low zinc levels are associated with severity.Areas covered: The authors review the literature and provide an overview of the current state of knowledge regarding the natural history of and therapeutic options for COVID-19. Expert opinion: Diagnosis should rely on PCR and not on clinical presumption. Because of discrepancies between clinical symptoms, oxygen saturation or radiological signs on CT scans, pulse oximetry, and radiological investigation should be systematic. The disease evolves in successive phases: an acute virological phase, and, in some patients, a cytokine storm phase; an uncontrolled coagulopathy; and an acute respiratory distress syndrome. Therapeutic options include antivirals, oxygen therapy, immunomodulators, anticoagulants and prolonged mechanical treatment. Early diagnosis, care, and implementation of an antiviral treatment; the use of immunomodulators at a later stage; and the quality of intensive care are critical regarding mortality rates. The higher mortality observed in Western countries remains unexplained. Pulmonary fibrosis may occur in some patients. Its future is unpredictable.
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Affiliation(s)
- Philippe Gautret
- Institut Hospitalo-Universitaire Méditerranée Infection , Marseille, France.,Ird, Ap-hm, Ssa, Vitrome, Aix Marseille Univ , Marseille, France
| | - Matthieu Million
- Institut Hospitalo-Universitaire Méditerranée Infection , Marseille, France.,Ird, Ap-hm, Mephi, Aix Marseille Univ , Marseille, France
| | | | - Laurence Camoin-Jau
- Institut Hospitalo-Universitaire Méditerranée Infection , Marseille, France.,Ird, Ap-hm, Mephi, Aix Marseille Univ , Marseille, France.,Laboratoire d'Hématologie, Hôpital De La Timone, APHM, Boulevard Jean- Moulin , Marseille, France
| | - Philippe Colson
- Institut Hospitalo-Universitaire Méditerranée Infection , Marseille, France.,Ird, Ap-hm, Mephi, Aix Marseille Univ , Marseille, France
| | - Florence Fenollar
- Institut Hospitalo-Universitaire Méditerranée Infection , Marseille, France.,Ird, Ap-hm, Ssa, Vitrome, Aix Marseille Univ , Marseille, France
| | - Marc Leone
- Institut Hospitalo-Universitaire Méditerranée Infection , Marseille, France.,Ird, Ap-hm, Mephi, Aix Marseille Univ , Marseille, France.,Service d'Anesthésie Et De Réanimation, Hôpital Nord, APHM , Marseille, France
| | - Bernard La Scola
- Institut Hospitalo-Universitaire Méditerranée Infection , Marseille, France.,Ird, Ap-hm, Mephi, Aix Marseille Univ , Marseille, France
| | - Christian Devaux
- Institut Hospitalo-Universitaire Méditerranée Infection , Marseille, France.,Ird, Ap-hm, Mephi, Aix Marseille Univ , Marseille, France.,CNRS , Marseille, France
| | - Jean Yves Gaubert
- Department of Radiology and Cardiovascular Imaging, Aix Marseille Univ, LIIE , Marseille, France
| | - Jean-Louis Mege
- Institut Hospitalo-Universitaire Méditerranée Infection , Marseille, France.,Ird, Ap-hm, Mephi, Aix Marseille Univ , Marseille, France
| | - Joana Vitte
- Institut Hospitalo-Universitaire Méditerranée Infection , Marseille, France.,Ird, Ap-hm, Mephi, Aix Marseille Univ , Marseille, France
| | - Cléa Melenotte
- Institut Hospitalo-Universitaire Méditerranée Infection , Marseille, France.,Ird, Ap-hm, Mephi, Aix Marseille Univ , Marseille, France
| | - Jean-Marc Rolain
- Institut Hospitalo-Universitaire Méditerranée Infection , Marseille, France.,Ird, Ap-hm, Mephi, Aix Marseille Univ , Marseille, France
| | - Philippe Parola
- Institut Hospitalo-Universitaire Méditerranée Infection , Marseille, France.,Ird, Ap-hm, Ssa, Vitrome, Aix Marseille Univ , Marseille, France
| | - Jean-Christophe Lagier
- Institut Hospitalo-Universitaire Méditerranée Infection , Marseille, France.,Ird, Ap-hm, Mephi, Aix Marseille Univ , Marseille, France
| | - Philippe Brouqui
- Institut Hospitalo-Universitaire Méditerranée Infection , Marseille, France.,Ird, Ap-hm, Mephi, Aix Marseille Univ , Marseille, France
| | - Didier Raoult
- Institut Hospitalo-Universitaire Méditerranée Infection , Marseille, France.,Ird, Ap-hm, Mephi, Aix Marseille Univ , Marseille, France
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18
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Ezzikouri S, Nourlil J, Benjelloun S, Kohara M, Tsukiyama-Kohara K. Coronavirus disease 2019-Historical context, virology, pathogenesis, immunotherapy, and vaccine development. Hum Vaccin Immunother 2020; 16:2992-3000. [PMID: 32755425 PMCID: PMC8641599 DOI: 10.1080/21645515.2020.1787068] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 05/20/2020] [Accepted: 06/09/2020] [Indexed: 01/08/2023] Open
Abstract
The current Coronavirus Disease 2019 (COVID-19) pandemic is causing great alarm around the world. The pathogen for COVID-19 - severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) - is the seventh known coronavirus to cause pneumonia in humans. While much remains unknown about SARS-CoV-2, physicians and researchers have begun to publish relevant findings, and much evidence is available on coronaviruses previously circulating in human and animal populations. In this review, we situate COVID-19 in its context as a transboundary viral disease, and provide a comprehensive discussion focused on the discovery, spread, virology, pathogenesis, and clinical features of this disease, its causative coronaviral pathogen, and approaches to combating the disease through immunotherapies and other treatments and vaccine development. An epidemiological survey revealed a potentially large number of asymptomatic SARS-CoV-2 carriers within the population, which may hamper efforts against COVID-19. Finally, we emphasize that vaccines against SARS-CoV-2, which may be developed by 2021, will be essential for prevention of COVID-19.
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Affiliation(s)
- Sayeh Ezzikouri
- Virology Unit¸ Viral Hepatitis Laboratory, Institut Pasteur Du Maroc, Casablanca, Morocco
- Transboundary Animal Diseases Centre, Joint Faculty of Veterinary Medicine, Kagoshima University, Kagoshima, Japan
| | - Jalal Nourlil
- Medical Virology and BSL3 Laboratory, Institut Pasteur Du Maroc, Casablanca, Morocco
| | - Soumaya Benjelloun
- Virology Unit¸ Viral Hepatitis Laboratory, Institut Pasteur Du Maroc, Casablanca, Morocco
| | - Michinori Kohara
- Department of Microbiology and Cell Biology, The Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Kyoko Tsukiyama-Kohara
- Transboundary Animal Diseases Centre, Joint Faculty of Veterinary Medicine, Kagoshima University, Kagoshima, Japan
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19
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Bachelet VC. [Three questions on COVID-19: testing, infectiousness, and school opening]. Medwave 2020; 20:e8068. [PMID: 33231571 DOI: 10.5867/medwave.2020.10.8068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Affiliation(s)
- Vivienne C Bachelet
- Medwave, Santiago, Chile; Escuela de Medicina, Facultad de Ciencias Médicas, Universidad de Santiago de Chile (USACH), Santiago, Chile. . ORCID: 0000-0002-5715-9755
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20
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Felsenstein S, Hedrich CM. SARS-CoV-2 infections in children and young people. Clin Immunol 2020; 220:108588. [PMID: 32905851 PMCID: PMC7474910 DOI: 10.1016/j.clim.2020.108588] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 09/02/2020] [Accepted: 09/02/2020] [Indexed: 01/08/2023]
Abstract
Though recent reports link SARS-CoV-2 infections with hyper-inflammatory states in children, most children experience no/mild symptoms, and hospitalization and mortality rates are low in the age group. As symptoms are usually mild and seroconversion occurs at low frequencies, it remains unclear whether children significantly contribute to community transmission. Several hypotheses try to explain age-related differences in disease presentation and severity. Possible reasons for milder presentations in children as compared to adults include frequent contact to seasonal coronaviruses, presence of cross-reactive antibodies, and/or co-clearance with other viruses. Increased expression of ACE2 in young people may facilitate virus infection, while limiting inflammation and reducing the risk of severe disease. Further potential factors include recent vaccinations and a more diverse memory T cell repertoire. This manuscript reviews age-related host factors that may protect children from COVID-19 and complications associated, and addresses the confusion around seropositivity and immunity.
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Affiliation(s)
- Susanna Felsenstein
- Department of Infectious Diseases and Immunology, Alder Hey Children's NHS Foundation Trust Hospital, Liverpool, UK
| | - Christian M Hedrich
- Department of Women's & Children's Health, Institute of Live Course and Medical Sciences, University of Liverpool, Liverpool, UK; Department of Rheumatology, Alder Hey Children's NHS Foundation Trust Hospital, Liverpool, UK.
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21
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Ayoub HH, Chemaitelly H, Mumtaz GR, Seedat S, Awad SF, Makhoul M, Abu-Raddad LJ. Characterizing key attributes of COVID-19 transmission dynamics in China's original outbreak: Model-based estimations. GLOBAL EPIDEMIOLOGY 2020; 2:100042. [PMID: 33235991 PMCID: PMC7673212 DOI: 10.1016/j.gloepi.2020.100042] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Revised: 11/03/2020] [Accepted: 11/16/2020] [Indexed: 01/08/2023] Open
Abstract
A novel coronavirus strain, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), emerged in China. This study aims to characterize key attributes of SARS-CoV-2 epidemiology as the infection emerged in China. An age-stratified mathematical model was constructed to describe transmission dynamics and estimate age-specific differences in biological susceptibility to infection, age-assortativeness in transmission mixing, and transition in rate of infectious contacts (and reproduction number R 0) following introduction of mass interventions. The model estimated the infectious contact rate in early epidemic at 0.59 contacts/day (95% uncertainty interval-UI = 0.48-0.71). Relative to those 60-69 years, susceptibility was 0.06 in those ≤19 years, 0.34 in 20-29 years, 0.57 in 30-39 years, 0.69 in 40-49 years, 0.79 in 50-59 years, 0.94 in 70-79 years, and 0.88 in ≥80 years. Assortativeness in transmission mixing by age was limited at 0.004 (95% UI = 0.002-0.008). R 0 rapidly declined from 2.1 (95% UI = 1.8-2.4) to 0.06 (95% UI = 0.05-0.07) following interventions' onset. Age appears to be a principal factor in explaining the transmission patterns in China. The biological susceptibility to infection seems limited among children but high among those >50 years. There was no evidence for differential contact mixing by age.
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Affiliation(s)
- Houssein H Ayoub
- Department of Mathematics, Statistics, and Physics, Qatar University, Doha, Qatar
| | - Hiam Chemaitelly
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar
- World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar
| | - Ghina R Mumtaz
- Department of Epidemiology and Population Health, American University of Beirut, Beirut, Lebanon
| | - Shaheen Seedat
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar
- World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar
- Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York City, NY, USA
| | - Susanne F Awad
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar
- World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar
- Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York City, NY, USA
| | - Monia Makhoul
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar
- World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar
- Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York City, NY, USA
| | - Laith J Abu-Raddad
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar
- World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar
- Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York City, NY, USA
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22
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Raoult D. How useful is serology for COVID-19? Int J Infect Dis 2020; 102:170-171. [PMID: 33129960 PMCID: PMC7591945 DOI: 10.1016/j.ijid.2020.10.058] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 10/21/2020] [Accepted: 10/22/2020] [Indexed: 01/10/2023] Open
Affiliation(s)
- Didier Raoult
- IHU-Méditerranée Infection, Marseille, France; Aix Marseille University, IRD, AP-HM, MEPHI, Marseille, France.
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23
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Colson P, Esteves-Vieira V, Giraud-Gatineau A, Zandotti C, Filosa V, Chaudet H, Lagier JC, Raoult D. Temporal and age distributions of SARS-CoV-2 and other coronaviruses, southeastern France. Int J Infect Dis 2020; 101:121-125. [PMID: 32976991 PMCID: PMC7511210 DOI: 10.1016/j.ijid.2020.09.1417] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 09/11/2020] [Accepted: 09/15/2020] [Indexed: 01/10/2023] Open
Abstract
Objectives The SARS-CoV-2 epidemic presents a poorly understood epidemiological cycle. We aimed to compare the age and weekly distributions of the five human coronaviruses, including SARS-CoV-2, that circulated in southeastern France. Methods We analyzed all available diagnoses of respiratory viruses, including SARS-CoV-2, performed between 09/2013 and 05/2020 at the University Hospital Institute Méditerranée Infection in Marseille, southeastern France. Results For SARS-CoV-2, positive children <15 years of age represented 3.4% (228/6,735) of all positive cases, which is significantly less than for endemic coronaviruses (46.1%; 533/1,156; p < 0.001). Among 10,026 patients tested for SARS-CoV-2 and endemic coronaviruses in 2020, children <15 years represented a significantly lower proportion of all positive cases for SARS-CoV-2 than for endemic coronaviruses [2.2% (24/1,067) vs. 33.5% (149/445), respectively; p < 0.001]. Epidemic curves for endemic coronaviruses and SARS-CoV-2 in 91,722 patients showed comparable bell-shaped distributions with a slight time lag. In contrast, the age distribution of endemic coronaviruses and 14 other respiratory viruses differed significantly compared to that of SARS-CoV-2, which was the only virus to relatively spare children. Conclusions We observed for SARS-CoV-2 a temporal distribution resembling that of endemic coronaviruses but an age distribution that relatively spares the youngest subjects, who are those the most exposed to endemic coronaviruses.
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Affiliation(s)
- Philippe Colson
- IHU Méditerranée Infection, Marseille, France; Assistance Publique-Hôpitaux de Marseille (AP-HM), Marseille, France; Aix-Marseille Univ., Microbes Evolution Phylogeny and Infections (MEPHI), Institut de recherche pour le développement (IRD), Marseille, France
| | - Vera Esteves-Vieira
- IHU Méditerranée Infection, Marseille, France; Assistance Publique-Hôpitaux de Marseille (AP-HM), Marseille, France
| | - Audrey Giraud-Gatineau
- IHU Méditerranée Infection, Marseille, France; Assistance Publique-Hôpitaux de Marseille (AP-HM), Marseille, France; Aix-Marseille Univ., Microbes Evolution Phylogeny and Infections (MEPHI), Institut de recherche pour le développement (IRD), Marseille, France; Service de Santé des Armées (SSA), Marseille, France
| | - Christine Zandotti
- IHU Méditerranée Infection, Marseille, France; Assistance Publique-Hôpitaux de Marseille (AP-HM), Marseille, France
| | - Véronique Filosa
- IHU Méditerranée Infection, Marseille, France; Assistance Publique-Hôpitaux de Marseille (AP-HM), Marseille, France
| | - Hervé Chaudet
- IHU Méditerranée Infection, Marseille, France; Assistance Publique-Hôpitaux de Marseille (AP-HM), Marseille, France; Aix-Marseille Univ., Microbes Evolution Phylogeny and Infections (MEPHI), Institut de recherche pour le développement (IRD), Marseille, France; Service de Santé des Armées (SSA), Marseille, France
| | - Jean-Christophe Lagier
- IHU Méditerranée Infection, Marseille, France; Assistance Publique-Hôpitaux de Marseille (AP-HM), Marseille, France; Aix-Marseille Univ., Microbes Evolution Phylogeny and Infections (MEPHI), Institut de recherche pour le développement (IRD), Marseille, France
| | - Didier Raoult
- IHU Méditerranée Infection, Marseille, France; Assistance Publique-Hôpitaux de Marseille (AP-HM), Marseille, France; Aix-Marseille Univ., Microbes Evolution Phylogeny and Infections (MEPHI), Institut de recherche pour le développement (IRD), Marseille, France.
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24
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Li B, Zhang S, Zhang R, Chen X, Wang Y, Zhu C. Epidemiological and Clinical Characteristics of COVID-19 in Children: A Systematic Review and Meta-Analysis. Front Pediatr 2020; 8:591132. [PMID: 33224909 PMCID: PMC7667131 DOI: 10.3389/fped.2020.591132] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Accepted: 09/30/2020] [Indexed: 01/08/2023] Open
Abstract
Given the relatively low rate and limited publicly available data regarding children with SARS-CoV-2 infection, this knowledge gap should be addressed with urgency. This systematic review with meta-analysis aimed to evaluate the epidemiological spectrum and clinical characteristics of children infected with SARS-CoV-2. Relevant international and Chinese public databases were systematically searched to identify all case studies from January 1, 2020 to May 7, 2020. This study consisted of 96 studies involving 7004 cases. The mean age of pediatric cases was 6.48 years (95% CI 52.0-77.5), 90% had household contact, and 66% presented with mild to moderate clinical syndromes. The main symptoms were fever (47%, 95% CI 41-53%) and cough (42%, 95% CI 36-48%). About 23% of children were asymptomatic, 27% had comorbidity, and 29% had a co-infection. The pooled mean incubation period was 9.57 days (95% CI 7.70-11.44). The shedding of SARS-CoV-2 in the upper respiratory tract lasted 11.43 days, and 75% of patients had virus particles in their stool. A total of 34% of the children had neutropenia and 26% had lymphocytosis. Interferon-alpha (81%) was the most commonly used antiviral drug in the children. The discharge and death rates were 79 and 1%. In conclusion, the transmissibility of pediatric COVID-19 should be not ignored because of the relatively long incubation period, shedding duration, and mild clinical syndromes.
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Affiliation(s)
- Bingbing Li
- Henan Key Laboratory of Child Brain Injury, Department of Pediatrics, The Third Affiliated Hospital and Institute of Neuroscience of Zhengzhou University, Zhengzhou, China
| | - Shan Zhang
- Henan Key Laboratory of Child Brain Injury, Department of Pediatrics, The Third Affiliated Hospital and Institute of Neuroscience of Zhengzhou University, Zhengzhou, China
| | - Ruili Zhang
- Henan Key Laboratory of Child Brain Injury, Department of Pediatrics, The Third Affiliated Hospital and Institute of Neuroscience of Zhengzhou University, Zhengzhou, China
| | - Xi Chen
- Henan Key Laboratory of Child Brain Injury, Department of Pediatrics, The Third Affiliated Hospital and Institute of Neuroscience of Zhengzhou University, Zhengzhou, China
| | - Yong Wang
- Henan Key Laboratory of Child Brain Injury, Department of Pediatrics, The Third Affiliated Hospital and Institute of Neuroscience of Zhengzhou University, Zhengzhou, China
| | - Changlian Zhu
- Henan Key Laboratory of Child Brain Injury, Department of Pediatrics, The Third Affiliated Hospital and Institute of Neuroscience of Zhengzhou University, Zhengzhou, China.,Center for Brain Repair and Rehabilitation, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
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