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Sharma M, Huertas L, Taylor Gonzalez DJ, Garakani R, Berrocal AM, Chang TC. Silicone Oil and Glaucoma-Related Adverse Events in Pediatric Vitreoretinal Surgery. Ophthalmol Glaucoma 2025:S2589-4196(25)00061-4. [PMID: 40122281 DOI: 10.1016/j.ogla.2025.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2025] [Revised: 03/06/2025] [Accepted: 03/17/2025] [Indexed: 03/25/2025]
Abstract
PURPOSE This study aims to assess the risk of glaucoma-related adverse events (GRAEs) in pediatric patients following silicone oil use in vitreoretinal (VR) surgery, positing that silicone oil exposure increases GRAE risk. DESIGN A single-center retrospective cohort study at a tertiary care facility. PARTICIPANTS Pediatric patients aged 0 to 18 years who underwent VR surgery between April 2019 and April 2021 were included. Patients with previously diagnosed glaucoma or who had undergone glaucoma surgery were excluded. METHODS Review of medical records for intraoperative use of silicone oil and postoperative occurrence of GRAE, defined as elevated intraocular pressure (>21 mmHg), initiation of pressure-lowering medications, performance of pressure-lowering surgery, or a diagnosis of childhood glaucoma based on the Childhood Glaucoma Research Network criteria. MAIN OUTCOME MEASURES Survival analysis of GRAE between patients exposed vs. not exposed to silicone oil during VR surgery. RESULTS Of the 186 pediatric patients analyzed, 64 (34.4%) were exposed to silicone oil, and 102 developed GRAE (54.8%). Median survival time to GRAE was 2.0 months (95% confidence interval [CI]: 0.3, 7.7) for silicone oil exposure in patients vs. 25.3 months (95% CI: 3.6, N/A) for patients not exposed to silicone oil (P = 0.0045). Patients exposed to silicone oil had a 52% increased risk of GRAE compared to those not exposed to silicone oil when adjusted for age at VR surgery (hazard ratio: 1.52 [95% CI: 1.01, 2.28], P = 0.0425). CONCLUSIONS In this exploratory study, GRAE was commonly observed following pediatric VR surgery, particularly in patients exposed to silicone oil. These findings underscore the importance of careful glaucoma surveillance following VR surgery in children. FINANCIAL DISCLOSURE(S) Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
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Affiliation(s)
- Meghan Sharma
- John A. Moran Eye Center at the University of Utah Health, Salt Lake City, Utah
| | - Laura Huertas
- Bascom Palmer Eye Institute at the University of Miami Miller School of Medicine, Miami, Florida
| | - David J Taylor Gonzalez
- Hamilton Eye Institute at the University of Tennessee Health Science Center, Memphis, Tennessee
| | - Roya Garakani
- John A. Moran Eye Center at the University of Utah Health, Salt Lake City, Utah
| | - Audina M Berrocal
- Bascom Palmer Eye Institute at the University of Miami Miller School of Medicine, Miami, Florida
| | - Ta C Chang
- Bascom Palmer Eye Institute at the University of Miami Miller School of Medicine, Miami, Florida.
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Dassaye R, Chetty T, Daniels B, Gaffoor Z, Spooner E, Ramraj T, Mthethwa N, Nsibande DF, Pillay S, Bhana A, Magasana V, Reddy T, Mohlabi K, Moore PL, Burgers WA, de Oliveira T, Msomi N, Goga A. SARS-CoV-2 Infections in a Triad of Primary School Learners (Grades 1-7), Their Parents, and Teachers in KwaZulu-Natal, South Africa: Protocol for a Cross-Sectional and Nested Case-Cohort Study. JMIR Res Protoc 2024; 13:e52713. [PMID: 39700491 PMCID: PMC11695960 DOI: 10.2196/52713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 07/29/2024] [Accepted: 09/16/2024] [Indexed: 12/21/2024] Open
Abstract
BACKGROUND In low- and middle-income countries (LMICs) such as South Africa, there is paucity of data on SARS-CoV-2 infections among children attending school, including seroprevalence and transmission dynamics. OBJECTIVE This pilot study aims to assess (1) the prevalence of self-reported or confirmed SARS-CoV-2 prior infections, COVID-19 symptoms (including long COVID), seroprevalence of SARS-CoV-2 antibodies, and general/mental health, (2) longitudinal changes in SARS-CoV-2 seroprevalence, and (3) SARS-CoV-2 acute infections, immune responses, transmission dynamics, and symptomatic versus asymptomatic contacts in a unique cohort of unvaccinated primary school learners, their parents, teachers, and close contacts in semirural primary school settings. METHODS Learners (grades 1-7) from primary schools in KwaZulu-Natal, South Africa, their parents, and teachers will be invited to enroll into the COVID kids school study (CoKiDSS). CoKiDSS comprises 3 parts: a cross-sectional survey (N=640), a follow-up survey (n=300), and a nested case-cohort substudy. Finger-prick blood and saliva samples will be collected for serological and future testing, respectively, in the cross-sectional (451 learners:147 parents:42 teachers) and follow-up (210 learners:70 parents:20 teachers) surveys. The nested case-cohort substudy will include cases from the cross-sectional survey with confirmed current SARS-CoV-2 infection (n=30) and their close contacts (n=up to 10 per infected participant). Finger-prick blood (from all substudy participants), venous blood (from cases), and nasal swabs (from cases and contacts) will be collected for serological testing, immunological testing, and viral genome sequencing, respectively. Questionnaires covering sociodemographic and general and mental health information, prior and current SARS-CoV-2 symptoms and testing information, vaccination status, preventative behavior, and lifestyle will be administered. Statistical methods will include generalized linear mixed models, intracluster correlation, descriptive analysis, and graphical techniques. RESULTS A total of 645 participants were enrolled into the cross-sectional survey between May and August 2023. A subset of 300 participants were followed up in the follow-up survey in October 2023. Screening of the participants into the nested case-cohort substudy is planned between November 2023 and September 2024. Data cleanup and analysis for the cross-sectional survey is complete, while those for the follow-up survey and nested case substudy will be completed by the third quarter of 2024. The dissemination and publication of results is anticipated for the fourth quarter of 2024. CONCLUSIONS This study provides data from an LMIC setting on the impact of SARS-CoV-2 on school-attending learners, their parents, and teachers 3 years after the SARS-CoV-2 pandemic was declared and 21-24 months after resumption of normal school attendance. In particular, this study will provide data on the prevalence of self-reported or confirmed SARS-CoV-2 prior infection, prior and current symptoms, seroprevalence, changes in seroprevalence, SARS-CoV-2 transmission, SARS-CoV-2 adaptive immune responses, and symptoms of long COVID and mental health among a triad of learners, their parents, and teachers. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/52713.
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Affiliation(s)
- Reshmi Dassaye
- HIV and Other Infectious Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
| | - Terusha Chetty
- HIV and Other Infectious Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
- Discipline of Public Health Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Brodie Daniels
- HIV and Other Infectious Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
| | - Zakir Gaffoor
- HIV and Other Infectious Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
| | - Elizabeth Spooner
- HIV and Other Infectious Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
| | - Trisha Ramraj
- HIV and Other Infectious Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
| | - Ncengani Mthethwa
- HIV and Other Infectious Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
| | - Duduzile Faith Nsibande
- HIV and Other Infectious Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
| | - Saresha Pillay
- HIV and Other Infectious Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
| | - Arvin Bhana
- Center for Rural Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
- Health Systems Research Unit, South African Medical Research Council, Durban, South Africa
| | - Vuyolwethu Magasana
- HIV and Other Infectious Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
| | - Tarylee Reddy
- Biostatistics Research Unit, South African Medical Research Council, Durban, South Africa
| | - Khanya Mohlabi
- HIV and Other Infectious Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
| | - Penelope Linda Moore
- Centre for the AIDS Programme of Research in South Africa, Durban, South Africa
- National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
- South African Medical Research Council Antibody Immunity Research Unit, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Wendy A Burgers
- Wellcome Centre for Infectious Diseases Research in Africa, University of Cape Town, Cape Town, South Africa
- Division of Medical Virology, Department of Pathology, University of Cape Town, Cape Town, South Africa
- Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Tulio de Oliveira
- Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
- Centre for Epidemic Response and Innovation, School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa
- KwaZulu-Natal Research Innovation and Sequencing Platform, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
- Department of Global Health, University of Washington, Seattle, WA, United States
| | - Nokukhanya Msomi
- Discipline of Virology, School of Laboratory Medicine and Medical Sciences, University of KwaZulu Natal, Durban, South Africa
- National Health Laboratory Service, Durban, South Africa
| | - Ameena Goga
- HIV and Other Infectious Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
- Department of Paediatrics and Child Health, University of Pretoria, Pretoria, South Africa
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3
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Jiang Z, Fang C, Peng F, Fan W. Comparison of clinical characteristics and disease burden of febrile seizures in children with and without COVID-19. BMC Pediatr 2024; 24:329. [PMID: 38741083 DOI: 10.1186/s12887-024-04821-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 05/08/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND Febrile seizures (FS) are the most common seizure disorder in children and a common neurologic complication in children with coronavirus disease 2019 (COVID-19). This study aimed to identify differences in clinical characteristics and disease burden between FS with and without COVID-19. MATERIALS AND METHODS We conducted a retrospective analysis of medical data at our hospital from December 2019 to July 2023, focusing on hospitalized patients under the age of 14 diagnosed with FS who underwent COVID-19 polymerase chain reaction (PCR) testing. Descriptive statistics and analysis of variance were employed to compare the COVID-19 and non-COVID-19 groups in terms of clinical characteristics and disease burden. RESULTS A total of 514 patients were included, with 106 testing positive for COVID-19 and 408 testing negative. Patients with COVID-19 were older (34.87 ± 6.16 vs. 28.61 ± 11.35 months, P < 0.001) and had a higher proportion of males (79.2% vs. 62.3%, P = 0.001). The COVID-19 group had longer seizure durations (4.57 ± 4.38 vs. 3.22 ± 2.91 min, P = 0.006) and more complex FS (25.5% vs. 15.9%, P = 0.022). Laboratory tests showed lower lymphocyte counts in the COVID-19 group (1.87 ± 1.48 vs. 2.75 ± 1.51 × 103/µL, P < 0.001) and higher creatine kinase levels (158.49 ± 82.89 vs. 110.89 ± 56.11 U/L, P < 0.001). No significant differences were found in hospital costs, length of hospitalization, and intensive care unit admissions. CONCLUSION Clinicians should be knowledgeable about the distinct clinical characteristics of FS in children with COVID-19. Despite distinct features, the prognosis remains favorable and does not require excessive intervention. Ongoing monitoring and research are needed to fully understand the impact of COVID-19 on FS and optimize management strategies.
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Affiliation(s)
- Zhongli Jiang
- Department of Pediatrics, Liyang People's Hospital, Liyang, China
| | - Cuiyun Fang
- Department of Nursing, Liyang People's Hospital, Liyang, China
| | - Fengyimei Peng
- Department of Pediatrics, Liyang People's Hospital, Liyang, China
| | - Wei Fan
- Department of Pediatrics, Liyang People's Hospital, Liyang, China.
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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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5
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Chen Z, Yuan Y, Hu Q, Zhu A, Chen F, Li S, Guan X, Lv C, Tang T, He Y, Cheng J, Zheng J, Hu X, Zhao J, Zhao J, Sun J. SARS-CoV-2 immunity in animal models. Cell Mol Immunol 2024; 21:119-133. [PMID: 38238440 PMCID: PMC10806257 DOI: 10.1038/s41423-023-01122-w] [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: 12/07/2023] [Accepted: 12/18/2023] [Indexed: 01/25/2024] Open
Abstract
The COVID-19 pandemic, which was caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become a worldwide health crisis due to its transmissibility. SARS-CoV-2 infection results in severe respiratory illness and can lead to significant complications in affected individuals. These complications encompass symptoms such as coughing, respiratory distress, fever, infectious shock, acute respiratory distress syndrome (ARDS), and even multiple-organ failure. Animal models serve as crucial tools for investigating pathogenic mechanisms, immune responses, immune escape mechanisms, antiviral drug development, and vaccines against SARS-CoV-2. Currently, various animal models for SARS-CoV-2 infection, such as nonhuman primates (NHPs), ferrets, hamsters, and many different mouse models, have been developed. Each model possesses distinctive features and applications. In this review, we elucidate the immune response elicited by SARS-CoV-2 infection in patients and provide an overview of the characteristics of various animal models mainly used for SARS-CoV-2 infection, as well as the corresponding immune responses and applications of these models. A comparative analysis of transcriptomic alterations in the lungs from different animal models revealed that the K18-hACE2 and mouse-adapted virus mouse models exhibited the highest similarity with the deceased COVID-19 patients. Finally, we highlighted the current gaps in related research between animal model studies and clinical investigations, underscoring lingering scientific questions that demand further clarification.
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Affiliation(s)
- Zhao Chen
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, National Centre for Respiratory Medicine, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510182, China
| | - Yaochang Yuan
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, National Centre for Respiratory Medicine, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510182, China
| | - Qingtao Hu
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, National Centre for Respiratory Medicine, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510182, China
- GMU-GIBH Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, 510000, China
| | - Airu Zhu
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, National Centre for Respiratory Medicine, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510182, China
| | - Fenghua Chen
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, National Centre for Respiratory Medicine, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510182, China
| | - Shu Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, National Centre for Respiratory Medicine, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510182, China
| | - Xin Guan
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, National Centre for Respiratory Medicine, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510182, China
| | - Chao Lv
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, National Centre for Respiratory Medicine, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510182, China
| | - Tian Tang
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, National Centre for Respiratory Medicine, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510182, China
| | - Yiyun He
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, National Centre for Respiratory Medicine, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510182, China
| | - Jinling Cheng
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, National Centre for Respiratory Medicine, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510182, China
| | - Jie Zheng
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, National Centre for Respiratory Medicine, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510182, China
| | - Xiaoyu Hu
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, National Centre for Respiratory Medicine, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510182, China
| | - Jingxian Zhao
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, National Centre for Respiratory Medicine, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510182, China.
- Guangzhou National Laboratory, Guangzhou, Guangdong, 510005, China.
| | - Jincun Zhao
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, National Centre for Respiratory Medicine, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510182, China.
- Guangzhou National Laboratory, Guangzhou, Guangdong, 510005, China.
- Shanghai Institute for Advanced Immunochemical Studies, School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
- Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, the Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, 518005, China.
| | - Jing Sun
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, National Centre for Respiratory Medicine, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510182, China.
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da Silva RP, Thomé BL, da Souza APD. Exploring the Immune Response against RSV and SARS-CoV-2 Infection in Children. BIOLOGY 2023; 12:1223. [PMID: 37759622 PMCID: PMC10525162 DOI: 10.3390/biology12091223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 09/01/2023] [Accepted: 09/06/2023] [Indexed: 09/29/2023]
Abstract
Viral respiratory tract infections are a significant public health concern, particularly in children. RSV is a prominent cause of lower respiratory tract infections among infants, whereas SARS-CoV-2 has caused a global pandemic with lower overall severity in children than in adults. In this review, we aimed to compare the innate and adaptive immune responses induced by RSV and SARS-CoV-2 to better understand differences in the pathogenesis of infection. Some studies have demonstrated that children present a more robust immune response against SARS-CoV-2 than adults; however, this response is dissimilar to that of RSV. Each virus has a distinctive mechanism to escape the immune response. Understanding the mechanisms underlying these differences is crucial for developing effective treatments and improving the management of pediatric respiratory infections.
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Affiliation(s)
| | | | - Ana Paula Duarte da Souza
- Laboratory of Clinical and Experimental Immunology, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre 90619-900, Brazil; (R.P.d.S.); (B.L.T.)
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7
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Zelek WM, Harrison RA. Complement and COVID-19: Three years on, what we know, what we don't know, and what we ought to know. Immunobiology 2023; 228:152393. [PMID: 37187043 PMCID: PMC10174470 DOI: 10.1016/j.imbio.2023.152393] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 05/05/2023] [Accepted: 05/08/2023] [Indexed: 05/17/2023]
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus was identified in China in 2019 as the causative agent of COVID-19, and quickly spread throughout the world, causing over 7 million deaths, of which 2 million occurred prior to the introduction of the first vaccine. In the following discussion, while recognising that complement is just one of many players in COVID-19, we focus on the relationship between complement and COVID-19 disease, with limited digression into directly-related areas such as the relationship between complement, kinin release, and coagulation. Prior to the 2019 COVID-19 outbreak, an important role for complement in coronavirus diseases had been established. Subsequently, multiple investigations of patients with COVID-19 confirmed that complement dysregulation is likely to be a major driver of disease pathology, in some, if not all, patients. These data fuelled evaluation of many complement-directed therapeutic agents in small patient cohorts, with claims of significant beneficial effect. As yet, these early results have not been reflected in larger clinical trials, posing questions such as who to treat, appropriate time to treat, duration of treatment, and optimal target for treatment. While significant control of the pandemic has been achieved through a global scientific and medical effort to comprehend the etiology of the disease, through extensive SARS-CoV-2 testing and quarantine measures, through vaccine development, and through improved therapy, possibly aided by attenuation of the dominant strains, it is not yet over. In this review, we summarise complement-relevant literature, emphasise its main conclusions, and formulate a hypothesis for complement involvement in COVID-19. Based on this we make suggestions as to how any future outbreak might be better managed in order to minimise impact on patients.
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Affiliation(s)
- Wioleta M Zelek
- Dementia Research Institute and Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, United Kingdom
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8
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De Rose DU, Pace PG, Ceccherini-Silberstein F, Dotta A, Andreoni M, Sarmati L, Iannetta M. T Lymphocyte Subset Counts and Interferon-Gamma Production in Adults and Children with COVID-19: A Narrative Review. J Pers Med 2023; 13:jpm13050755. [PMID: 37240926 DOI: 10.3390/jpm13050755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 04/21/2023] [Accepted: 04/26/2023] [Indexed: 05/28/2023] Open
Abstract
Adults and children exhibit a broad range of clinical outcomes from SARS-CoV-2 infection, with minimal to mild symptoms, especially in the pediatric age. However, some children present with a severe hyperinflammatory post-infectious complication named multisystem inflammatory syndrome in children (MIS-C), mainly affecting previously healthy subjects. Understanding these differences is still an ongoing challenge, that can lead to new therapeutic strategies and avoid unfavorable outcomes. In this review, we discuss the different roles of T lymphocyte subsets and interferon-γ (IFN-γ) in the immune responses of adults and children. Lymphopenia can influence these responses and represent a good predictor for the outcome, as reported by most authors. The increased IFN-γ response exhibited by children could be the starting point for the activation of a broad response that leads to MIS-C, with a significantly higher risk than in adults, although a single IFN signature has not been identified. Multicenter studies with large cohorts in both age groups are still needed to study SARS-CoV-2 pathogenesis with new tools and to understand how is possible to better modulate immune responses.
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Affiliation(s)
- Domenico Umberto De Rose
- Neonatal Intensive Care Unit, "Bambino Gesù" Children's Hospital IRCCS, 00165 Rome, Italy
- PhD Course in Microbiology, Immunology, Infectious Diseases, and Transplants (MIMIT), Faculty of Medicine and Surgery, "Tor Vergata" University of Rome, 00133 Rome, Italy
| | - Pier Giorgio Pace
- Infectious Disease Unit, Department of System Medicine, "Tor Vergata" University and Hospital, 00133 Rome, Italy
| | | | - Andrea Dotta
- Neonatal Intensive Care Unit, "Bambino Gesù" Children's Hospital IRCCS, 00165 Rome, Italy
| | - Massimo Andreoni
- Infectious Disease Unit, Department of System Medicine, "Tor Vergata" University and Hospital, 00133 Rome, Italy
| | - Loredana Sarmati
- Infectious Disease Unit, Department of System Medicine, "Tor Vergata" University and Hospital, 00133 Rome, Italy
| | - Marco Iannetta
- Infectious Disease Unit, Department of System Medicine, "Tor Vergata" University and Hospital, 00133 Rome, Italy
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Chen YY, Tun HM, Field CJ, Mandhane PJ, Moraes TJ, Simons E, Turvey SE, Subbarao P, Scott JA, Kozyrskyj AL. Impact of Cesarean Delivery and Breastfeeding on Secretory Immunoglobulin A in the Infant Gut Is Mediated by Gut Microbiota and Metabolites. Metabolites 2023; 13:metabo13020148. [PMID: 36837767 PMCID: PMC9959734 DOI: 10.3390/metabo13020148] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 12/19/2022] [Accepted: 01/13/2023] [Indexed: 01/20/2023] Open
Abstract
How gut immunity in early life is shaped by birth in relation to delivery mode, intrapartum antibiotic prophylaxis (IAP) and labor remains undetermined. We aimed to address this gap with a study of secretory Immunoglobulin A (SIgA) in the infant gut that also tested SIgA-stimulating pathways mediated by gut microbiota and metabolites. Among 1017 Canadian full-term infants, gut microbiota of fecal samples collected at 3 and 12 months were profiled using 16S rRNA sequencing; C. difficile was quantified by qPCR; fecal metabolites and SIgA levels were measured by NMR and SIgA enzyme-linked immunosorbent assay, respectively. We assessed the putative causal relationships from birth events to gut microbiota and metabolites, and ultimately to SIgA, in statistical sequential mediation models, adjusted for maternal gravida status in 551 infants. As birth mode influences the ability to breastfeed, the statistical mediating role of breastfeeding status and milk metabolites was also evaluated. Relative to vaginal birth without maternal IAP, cesarean section (CS) after labor was associated with reduced infant gut SIgA levels at 3 months (6.27 vs. 4.85 mg/g feces, p < 0.05); this association was sequentially mediated through gut microbiota and metabolites of microbial or milk origin. Mediating gut microbiota included Enterobacteriaceae, C. difficile, and Streptococcus. The milk or microbial metabolites in CS-SIgA mediating pathways were galactose, fucose, GABA, choline, lactate, pyruvate and 1,2-propanediol. This cohort study documented the impact of birth on infant gut mucosal SIgA. It is the first to characterize gut microbe-metabolite mediated pathways for early-life SIgA maturation, pathways that require experimental verification.
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Affiliation(s)
- Yuan Yao Chen
- Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB T6G 1C9, Canada
| | - Hein M. Tun
- Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB T6G 1C9, Canada
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Catherine J. Field
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2E1, Canada
| | - Piushkumar J. Mandhane
- Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB T6G 1C9, Canada
| | - Theo J. Moraes
- Department of Pediatrics and Physiology, Hospital for Sick Children, University of Toronto, Toronto, ON M5G 1X8, Canada
| | - Elinor Simons
- Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, MB R3A 1S1, Canada
| | - Stuart E. Turvey
- Department of Pediatrics, BC Children’s Hospital, University of British Columbia, Vancouver, BC V6H 0B3, Canada
| | - Padmaja Subbarao
- Department of Pediatrics and Physiology, Hospital for Sick Children, University of Toronto, Toronto, ON M5G 1X8, Canada
| | - James A. Scott
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 3M7, Canada
| | - Anita L. Kozyrskyj
- Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB T6G 1C9, Canada
- Correspondence: ; Tel.: +1-780-248-5508
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10
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Clinical and Laboratory Characteristics of Pediatric COVID-19 Population—A Bibliometric Analysis. J Clin Med 2022; 11:jcm11205987. [PMID: 36294306 PMCID: PMC9605229 DOI: 10.3390/jcm11205987] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 09/17/2022] [Accepted: 10/09/2022] [Indexed: 11/16/2022] Open
Abstract
The literature on the COVID-19 landscape has rapidly expanded in the pandemic period. The current study undertakes a bibliometric analysis of research in the topic of the clinical and laboratory characteristics of pediatric COVID-19 cases. Our aim is to perform a comprehensive bibliometric review of current research trends and patterns of this research domain. Publications retrieved from the Web of Science Core Collection and VOSviewer were used for analysis and network visualization. We analyzed geographical distribution and temporal trends, collaboration and citation patterns of authors, institutions, and countries, and core research themes from co-occurrence of keywords and terms. The analysis showed that contributions in the research field were from 302 publications, 1104 institutions, 62 countries, and 172 journals. Many publications were authored by American and Chinese authors, and many were published in the Pediatric Infectious Disease Journal, Pediatric Pulmonology, and Frontiers in Pediatrics. The top cited and co-cited journals were the New England Journal of Medicine, Nature, JAMA, Lancet Infectious Diseases, and BMJ. The network visualization maps of keywords and terms offered a global overview of the clinical and laboratory characteristics of pediatric COVID-19 patients. The bibliometric profile of the researched domain, based on analyzing a large collection of publications/data, could (i) enrich the researchers and non-researchers understanding of the field existing patterns and trends, and (ii) be useful in clinical practice (diagnostic and management) and public health policy.
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11
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Fan C, Wu Y, Rui X, Yang Y, Ling C, Liu S, Liu S, Wang Y. Animal models for COVID-19: advances, gaps and perspectives. Signal Transduct Target Ther 2022; 7:220. [PMID: 35798699 PMCID: PMC9261903 DOI: 10.1038/s41392-022-01087-8] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 06/20/2022] [Accepted: 06/27/2022] [Indexed: 01/08/2023] Open
Abstract
COVID-19, caused by SARS-CoV-2, is the most consequential pandemic of this century. Since the outbreak in late 2019, animal models have been playing crucial roles in aiding the rapid development of vaccines/drugs for prevention and therapy, as well as understanding the pathogenesis of SARS-CoV-2 infection and immune responses of hosts. However, the current animal models have some deficits and there is an urgent need for novel models to evaluate the virulence of variants of concerns (VOC), antibody-dependent enhancement (ADE), and various comorbidities of COVID-19. This review summarizes the clinical features of COVID-19 in different populations, and the characteristics of the major animal models of SARS-CoV-2, including those naturally susceptible animals, such as non-human primates, Syrian hamster, ferret, minks, poultry, livestock, and mouse models sensitized by genetically modified, AAV/adenoviral transduced, mouse-adapted strain of SARS-CoV-2, and by engraftment of human tissues or cells. Since understanding the host receptors and proteases is essential for designing advanced genetically modified animal models, successful studies on receptors and proteases are also reviewed. Several improved alternatives for future mouse models are proposed, including the reselection of alternative receptor genes or multiple gene combinations, the use of transgenic or knock-in method, and different strains for establishing the next generation of genetically modified mice.
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Affiliation(s)
- Changfa Fan
- Division of Animal Model Research, Institute for Laboratory Animal Resources, National Institutes for Food and Drug Control (NIFDC), National Rodent Laboratory Animal Resources Center, Beijing, 102629, China
| | - Yong Wu
- Division of Animal Model Research, Institute for Laboratory Animal Resources, National Institutes for Food and Drug Control (NIFDC), National Rodent Laboratory Animal Resources Center, Beijing, 102629, China
| | - Xiong Rui
- Division of Animal Model Research, Institute for Laboratory Animal Resources, National Institutes for Food and Drug Control (NIFDC), National Rodent Laboratory Animal Resources Center, Beijing, 102629, China
- Department of Microbiology & Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100083, China
| | - Yuansong Yang
- Division of Animal Model Research, Institute for Laboratory Animal Resources, National Institutes for Food and Drug Control (NIFDC), National Rodent Laboratory Animal Resources Center, Beijing, 102629, China
| | - Chen Ling
- Division of Animal Model Research, Institute for Laboratory Animal Resources, National Institutes for Food and Drug Control (NIFDC), National Rodent Laboratory Animal Resources Center, Beijing, 102629, China
- College of Life Sciences, Northwest University; Provincial Key Laboratory of Biotechnology of Shaanxi Province, Northwest University, Xi'an, 710069, China
| | - Susu Liu
- Division of Animal Model Research, Institute for Laboratory Animal Resources, National Institutes for Food and Drug Control (NIFDC), National Rodent Laboratory Animal Resources Center, Beijing, 102629, China
| | - Shunan Liu
- Division of Animal Model Research, Institute for Laboratory Animal Resources, National Institutes for Food and Drug Control (NIFDC), National Rodent Laboratory Animal Resources Center, Beijing, 102629, China
| | - Youchun Wang
- Division of HIV/AIDS and Sexually Transmitted Virus Vaccines, Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC), Beijing, China.
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12
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Zimmermann P, Curtis N. Why Does the Severity of COVID-19 Differ With Age?: Understanding the Mechanisms Underlying the Age Gradient in Outcome Following SARS-CoV-2 Infection. Pediatr Infect Dis J 2022; 41:e36-e45. [PMID: 34966142 PMCID: PMC8740029 DOI: 10.1097/inf.0000000000003413] [Citation(s) in RCA: 56] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/03/2021] [Indexed: 11/26/2022]
Abstract
Although there are many hypotheses for the age-related difference in the severity of COVID-19, differences in innate, adaptive and heterologous immunity, together with differences in endothelial and clotting function, are the most likely mechanisms underlying the marked age gradient. Children have a faster and stronger innate immune response to SARS-CoV-2, especially in the nasal mucosa, which rapidly controls the virus. In contrast, adults can have an overactive, dysregulated and less effective innate response that leads to uncontrolled pro-inflammatory cytokine production and tissue injury. More recent exposure to other viruses and routine vaccines in children might be associated with protective cross-reactive antibodies and T cells against SARS-CoV-2. There is less evidence to support other mechanisms that have been proposed to explain the age-related difference in outcome following SARS-CoV-2 infection, including pre-existing immunity from exposure to common circulating coronaviruses, differences in the distribution and expression of the entry receptors ACE2 and TMPRSS2, and difference in viral load.
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Affiliation(s)
- Petra Zimmermann
- From the Faculty of Science and Medicine, University of Fribourg, Fribourg, Switzerland
- Department of Paediatrics, Fribourg Hospital HFR, Fribourg, Switzerland
- Department of Paediatrics, The University of Melbourne, Parkville, Australia
- Infectious Diseases Research Group, Murdoch Children’s Research Institute, Parkville, Australia
| | - Nigel Curtis
- Department of Paediatrics, The University of Melbourne, Parkville, Australia
- Infectious Diseases Research Group, Murdoch Children’s Research Institute, Parkville, Australia
- Infectious Diseases Unit, The Royal Children’s Hospital Melbourne, Parkville, Australia
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