1
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Gao Y, Yue Y, Xiong S. An Albumin-Binding Domain Peptide Confers Enhanced Immunoprotection Against Viral Myocarditis by CVB3 VP1 Vaccine. Front Immunol 2021; 12:666594. [PMID: 34630378 PMCID: PMC8492941 DOI: 10.3389/fimmu.2021.666594] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 09/06/2021] [Indexed: 11/13/2022] Open
Abstract
Coxsackievirus B3 (CVB3)-induced viral myocarditis is a common clinical cardiovascular disease without effective available vaccine. In this study, we tried to potentiate the immunoprotection efficacy of our previous CVB3-specific VP1 protein vaccine by introducing a streptococcal protein G-derived, draining lymph nodes (dLNs)-targeting albumin-binding domain (ABD) peptide. We found that compared with the original VP1 vaccine, ABD-fused VP1 (ABD-VP1) vaccine gained the new ability to efficiently bind murine albumin both in vitro and in vivo, possessed a much longer serum half-life in serum and exhibited more abundance in the dLNs after immunization. Accordingly, ABD-VP1 immunization not only significantly facilitated the enrichment and maturation of dendritic cells (DCs), induced higher percentages of IFN-γ+ CD8 + cells in the dLNs, but also robustly promoted VP1-induced T cell proliferation and cytotoxic T lymphocyte (CTL) responses in the spleens. More importantly, ABD-VP1 also elicited higher percentages of protective CD44hi CD62Lhi memory T cells in dLNs and spleens. Consequently, obvious protective effect against viral myocarditis was conferred by ABD-VP1 vaccine compared to the VP1 vaccine, reflected by the less body weight loss, improved cardiac function, alleviated cardiac histomorphological changes and an increased 28-day survival rate. Our results indicated that the ABD might be a promising immune-enhancing regime for vaccine design and development.
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Affiliation(s)
| | - Yan Yue
- Jiangsu Provincial Key Laboratory of Infection and Immunity, Institutes of Biology and Medical Science, Soochow University, Suzhou, China
| | - Sidong Xiong
- Jiangsu Provincial Key Laboratory of Infection and Immunity, Institutes of Biology and Medical Science, Soochow University, Suzhou, China
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2
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V'kovski P, Kratzel A, Steiner S, Stalder H, Thiel V. Coronavirus biology and replication: implications for SARS-CoV-2. Nat Rev Microbiol 2021; 19:155-170. [PMID: 33116300 PMCID: PMC7592455 DOI: 10.1038/s41579-020-00468-6] [Citation(s) in RCA: 1689] [Impact Index Per Article: 563.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/25/2020] [Indexed: 02/06/2023]
Abstract
The SARS-CoV-2 pandemic and its unprecedented global societal and economic disruptive impact has marked the third zoonotic introduction of a highly pathogenic coronavirus into the human population. Although the previous coronavirus SARS-CoV and MERS-CoV epidemics raised awareness of the need for clinically available therapeutic or preventive interventions, to date, no treatments with proven efficacy are available. The development of effective intervention strategies relies on the knowledge of molecular and cellular mechanisms of coronavirus infections, which highlights the significance of studying virus-host interactions at the molecular level to identify targets for antiviral intervention and to elucidate critical viral and host determinants that are decisive for the development of severe disease. In this Review, we summarize the first discoveries that shape our current understanding of SARS-CoV-2 infection throughout the intracellular viral life cycle and relate that to our knowledge of coronavirus biology. The elucidation of similarities and differences between SARS-CoV-2 and other coronaviruses will support future preparedness and strategies to combat coronavirus infections.
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Affiliation(s)
- Philip V'kovski
- Institute of Virology and Immunology (IVI), Bern, Switzerland
- Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Annika Kratzel
- Institute of Virology and Immunology (IVI), Bern, Switzerland
- Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
- Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland
| | - Silvio Steiner
- Institute of Virology and Immunology (IVI), Bern, Switzerland
- Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
- Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland
| | - Hanspeter Stalder
- Institute of Virology and Immunology (IVI), Bern, Switzerland
- Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Volker Thiel
- Institute of Virology and Immunology (IVI), Bern, Switzerland.
- Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Bern, Switzerland.
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3
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Mdkhana B, Saheb Sharif-Askari N, Ramakrishnan RK, Goel S, Hamid Q, Halwani R. Nucleic Acid-Sensing Pathways During SARS-CoV-2 Infection: Expectations versus Reality. J Inflamm Res 2021; 14:199-216. [PMID: 33531826 PMCID: PMC7847386 DOI: 10.2147/jir.s277716] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 10/16/2020] [Indexed: 12/22/2022] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has affected millions of people and crippled economies worldwide. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) responsible for this pandemic has triggered avid research on its pathobiology to better understand the pathophysiology of COVID-19. In the absence of approved antiviral therapeutic strategies or vaccine platforms capable of effectively targeting this global threat, the hunt for effective therapeutics has led to many candidates being actively evaluated for their efficacy in controlling or preventing COVID-19. In this review, we gathered current evidence on the innate nucleic acid-sensing pathways expected to be elicited by SARS-CoV-2 and the immune evasion mechanisms they have developed to promote viral replication and infection. Within the nucleic acid-sensing pathways, SARS-CoV-2 infection and evasion mechanisms trigger the activation of NOD-signaling and NLRP3 pathways leading to the production of inflammatory cytokines, IL-1β and IL-6, while muting or blocking cGAS-STING and interferon type I and III pathways, resulting in decreased production of antiviral interferons and delayed innate response. Therefore, blocking the inflammatory arm and boosting the interferon production arm of nucleic acid-sensing pathways could facilitate early control of viral replication and dissemination, prevent disease progression, and cytokine storm development. We also discuss the rationale behind therapeutic modalities targeting these sensing pathways and their implications in the treatment of COVID-19.
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Affiliation(s)
- Bushra Mdkhana
- Sharjah Institute of Medical Research, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates
| | - Narjes Saheb Sharif-Askari
- Sharjah Institute of Medical Research, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates
| | - Rakhee K Ramakrishnan
- Sharjah Institute of Medical Research, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates
| | - Swati Goel
- Sharjah Institute of Medical Research, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates
| | - Qutayba Hamid
- Sharjah Institute of Medical Research, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates.,Department of Clinical Sciences, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates.,Meakins-Christie Laboratories, Research Institute of the McGill University Health Center, Montreal, Quebec, Canada
| | - Rabih Halwani
- Sharjah Institute of Medical Research, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates.,Department of Clinical Sciences, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates
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4
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Parkinson N, Rodgers N, Head Fourman M, Wang B, Zechner M, Swets MC, Millar JE, Law A, Russell CD, Baillie JK, Clohisey S. Dynamic data-driven meta-analysis for prioritisation of host genes implicated in COVID-19. Sci Rep 2020; 10:22303. [PMID: 33339864 PMCID: PMC7749145 DOI: 10.1038/s41598-020-79033-3] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 12/02/2020] [Indexed: 12/15/2022] Open
Abstract
The increasing body of literature describing the role of host factors in COVID-19 pathogenesis demonstrates the need to combine diverse, multi-omic data to evaluate and substantiate the most robust evidence and inform development of therapies. Here we present a dynamic ranking of host genes implicated in human betacoronavirus infection (SARS-CoV-2, SARS-CoV, MERS-CoV, seasonal coronaviruses). We conducted an extensive systematic review of experiments identifying potential host factors. Gene lists from diverse sources were integrated using Meta-Analysis by Information Content (MAIC). This previously described algorithm uses data-driven gene list weightings to produce a comprehensive ranked list of implicated host genes. From 32 datasets, the top ranked gene was PPIA, encoding cyclophilin A, a druggable target using cyclosporine. Other highly-ranked genes included proposed prognostic factors (CXCL10, CD4, CD3E) and investigational therapeutic targets (IL1A) for COVID-19. Gene rankings also inform the interpretation of COVID-19 GWAS results, implicating FYCO1 over other nearby genes in a disease-associated locus on chromosome 3. Researchers can search and review the gene rankings and the contribution of different experimental methods to gene rank at https://baillielab.net/maic/covid19 . As new data are published we will regularly update the list of genes as a resource to inform and prioritise future studies.
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Affiliation(s)
- Nicholas Parkinson
- Roslin Institute, University of Edinburgh, Easter Bush, Edinburgh, EH25 9RG, UK
| | - Natasha Rodgers
- Roslin Institute, University of Edinburgh, Easter Bush, Edinburgh, EH25 9RG, UK
| | - Max Head Fourman
- Roslin Institute, University of Edinburgh, Easter Bush, Edinburgh, EH25 9RG, UK
| | - Bo Wang
- Roslin Institute, University of Edinburgh, Easter Bush, Edinburgh, EH25 9RG, UK
| | - Marie Zechner
- Roslin Institute, University of Edinburgh, Easter Bush, Edinburgh, EH25 9RG, UK
| | - Maaike C Swets
- Roslin Institute, University of Edinburgh, Easter Bush, Edinburgh, EH25 9RG, UK
- Department of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands
| | - Jonathan E Millar
- Roslin Institute, University of Edinburgh, Easter Bush, Edinburgh, EH25 9RG, UK
| | - Andy Law
- Roslin Institute, University of Edinburgh, Easter Bush, Edinburgh, EH25 9RG, UK
| | - Clark D Russell
- Roslin Institute, University of Edinburgh, Easter Bush, Edinburgh, EH25 9RG, UK
- University of Edinburgh Centre for Inflammation Research, The Queen's Medical Research Institute, Edinburgh, UK
| | - J Kenneth Baillie
- Roslin Institute, University of Edinburgh, Easter Bush, Edinburgh, EH25 9RG, UK.
| | - Sara Clohisey
- Roslin Institute, University of Edinburgh, Easter Bush, Edinburgh, EH25 9RG, UK.
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5
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Delgado-Chaves FM, Gómez-Vela F, Divina F, García-Torres M, Rodriguez-Baena DS. Computational Analysis of the Global Effects of Ly6E in the Immune Response to Coronavirus Infection Using Gene Networks. Genes (Basel) 2020; 11:E831. [PMID: 32708319 PMCID: PMC7397019 DOI: 10.3390/genes11070831] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2020] [Revised: 06/26/2020] [Accepted: 07/13/2020] [Indexed: 12/21/2022] Open
Abstract
Gene networks have arisen as a promising tool in the comprehensive modeling and analysis of complex diseases. Particularly in viral infections, the understanding of the host-pathogen mechanisms, and the immune response to these, is considered a major goal for the rational design of appropriate therapies. For this reason, the use of gene networks may well encourage therapy-associated research in the context of the coronavirus pandemic, orchestrating experimental scrutiny and reducing costs. In this work, gene co-expression networks were reconstructed from RNA-Seq expression data with the aim of analyzing the time-resolved effects of gene Ly6E in the immune response against the coronavirus responsible for murine hepatitis (MHV). Through the integration of differential expression analyses and reconstructed networks exploration, significant differences in the immune response to virus were observed in Ly6E Δ H S C compared to wild type animals. Results show that Ly6E ablation at hematopoietic stem cells (HSCs) leads to a progressive impaired immune response in both liver and spleen. Specifically, depletion of the normal leukocyte mediated immunity and chemokine signaling is observed in the liver of Ly6E Δ H S C mice. On the other hand, the immune response in the spleen, which seemed to be mediated by an intense chromatin activity in the normal situation, is replaced by ECM remodeling in Ly6E Δ H S C mice. These findings, which require further experimental characterization, could be extrapolated to other coronaviruses and motivate the efforts towards novel antiviral approaches.
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Singh M, Bansal V, Feschotte C. A single-cell RNA expression map of human coronavirus entry factors. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2020:2020.05.08.084806. [PMID: 32511375 PMCID: PMC7263504 DOI: 10.1101/2020.05.08.084806] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
To predict the tropism of human coronaviruses, we profile 28 SARS-CoV-2 and coronavirus-associated receptors and factors (SCARFs) using single-cell RNA-sequencing data from a wide range of healthy human tissues. SCARFs include cellular factors both facilitating and restricting viral entry. Among adult organs, enterocytes and goblet cells of the small intestine and colon, kidney proximal tubule cells, and gallbladder basal cells appear most permissive to SARS-CoV-2, consistent with clinical data. Our analysis also suggests alternate entry paths for SARS-CoV-2 infection of the lung, central nervous system, and heart. We predict spermatogonial cells and prostate endocrine cells, but not ovarian cells, to be highly permissive to SARS-CoV-2, suggesting male-specific vulnerabilities. Early stages of embryonic and placental development show a moderate risk of infection. The nasal epithelium looks like another battleground, characterized by high expression of both promoting and restricting factors and a potential age-dependent shift in SCARF expression. Lastly, SCARF expression appears broadly conserved across human, chimpanzee and macaque organs examined. Our study establishes an important resource for investigations of coronavirus biology and pathology.
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Affiliation(s)
- Manvendra Singh
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA
| | - Vikas Bansal
- Biomedical Data Science and Machine Learning Group, DZNE, Tübingen, Germany
| | - Cédric Feschotte
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA
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