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Coleman M, Khan PY, Linde L, Williams PCM, Marais BJ. Transgression of planetary boundaries and the effects on child health through an infectious diseases lens. Curr Opin Pediatr 2025:00008480-990000000-00250. [PMID: 39882682 DOI: 10.1097/mop.0000000000001442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2025]
Abstract
PURPOSE OF REVIEW Life on earth, as we know it, is changing. The likelihood of more frequent pandemics and disease outbreaks is something that current global healthcare infrastructure is ill equipped to navigate. Human activity is forcing our planet into a new geologic epoch, the Anthropocene, which is typified by increased uncertainty resulting from human disruption of earth's life-giving ecosystems. Plagues and pandemics have always been unfortunate partners to periods of disruption, as they will be again if the frequency and severity of climate and conflict-mediated disasters increase in coming years. If we continue to exceed and degrade the planetary boundaries that protect human health, our children and their children will reap the consequences. RECENT FINDINGS Scientists have defined nine 'safe operating' planetary boundaries for life in all its glorious diversity to thrive on planet earth. Recent evidence suggests that six of these nine boundaries have already been transgressed, but the potential implications for these transgressions upon child health is not well articulated. We highlight how contravention of these boundaries will impact infectious disease risk and humans' ability to survive and thrive. We reflect specifically on how paediatricians are called upon to speak up for the most vulnerable members of our species, young children and as yet unborn future generations. SUMMARY Post COVID-19 initiatives to improve pandemic preparedness and response are certainly warranted, but pandemic prevention should include committed efforts not to exceed safe planetary boundaries. Willingly exceeding these boundaries has deep moral consequences that are poorly articulated by current ethical frameworks. Paediatricians are best placed to develop and champion the neglected 'third dimension' of medical ethics, recognizing the moral imperative to protect the long-term best interests of children and future generations.
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Affiliation(s)
- Mikaela Coleman
- Sydney Infectious Diseases Institute (Sydney ID), University of Sydney, Sydney, New South Wales, Australia
- Institute of Infectious Diseases and Tropical Medicine, Ludwig Maximilian University, Munich, Germany
| | - Palwasha Y Khan
- Clinical Research Department, London School of Hygiene & Tropical Medicine, London, UK
| | - Lauren Linde
- Boston University School of Public Health, Boston, Massachusetts, USA
| | - Phoebe C M Williams
- Sydney Infectious Diseases Institute (Sydney ID), University of Sydney, Sydney, New South Wales, Australia
- Department of Infectious Diseases, Sydney Children's Hospital
- School of Public Health, Faculty of Medicine, University of Sydney
- Discipline of Paediatrics, School of Clinical Medicine, Faculty of Medicine and Health, UNSW
| | - Ben J Marais
- Sydney Infectious Diseases Institute (Sydney ID), University of Sydney, Sydney, New South Wales, Australia
- WHO Collaborating Centre for Tuberculosis, Sydney, New South Wales, Australia
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2
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Aguiar R, Gray R, Gallo-Cajiao E, Ruckert A, Clifford Astbury C, Labonté R, Tsasis P, Viens AM, Wiktorowicz M. Preventing zoonotic spillover through regulatory frameworks governing wildlife trade: A scoping review. PLoS One 2025; 20:e0312012. [PMID: 39761248 PMCID: PMC11703008 DOI: 10.1371/journal.pone.0312012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 09/28/2024] [Indexed: 01/31/2025] Open
Abstract
Wildlife trade can create adverse impacts for biodiversity and human health globally, including increased risks for zoonotic spillover that can lead to pandemics. Institutional responses to zoonotic threats posed by wildlife trade are diverse; understanding regulations governing wildlife trade is an important step for effective zoonotic spillover prevention measures. In this review, we focused on peer-reviewed studies and grey literature conducted on regulatory approaches that govern domestic and international wildlife trade in order to assess the role of local, national and global-level institutions in the prevention of zoonotic spillover and infection transmission between humans. The five-stage scoping review protocol described by Arksey and O'Malley to map key concepts and main sources and types of evidence available was followed to understand and analyze empirical evidence from peer-reviewed studies and grey literature conducted on regulatory approaches that govern domestic and international wildlife. Sources were included if they discuss at least one of three points: regulatory approaches governing the wild animal trade, including wild animal markets, traditional medicine or exotic pets; regulatory approaches governing importation of wild animals and the international wildlife supply chain; or the role of local, national, and global-level institutions in regulating wild animal trade for food, traditional medicine or exotic pets. A total of 1598 sources were retrieved, from which 32 sources were included in the final review (30 studies + 2 grey literature reports). Based on published literature, regulations governing wildlife trade are inconsistent within and between countries. Organizations regulating wildlife trade may have competing interests, which can lead to fragmentation and a lack in coordination and oversight. National compliance with international regulations can be an issue. Reducing the probability of spillover events in wildlife trade is key to prevent future pandemics. Our results indicate a need for enhanced regulatory harmonization within and between national and supranational regulations. Coordination and collaboration for prevention of zoonotic infection and spillover may be enhanced through future research focused on the effectiveness of timely Information sharing and global- and national- level harmonization of wildlife trade regulations.
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Affiliation(s)
- Raphael Aguiar
- School of Health Policy and Management, York University, Toronto, Ontario, Canada
- Dahdaleh Institute for Global Health Research, York University, Toronto, Ontario, Canada
- School of Global Health, York University, Toronto, Ontario, Canada
| | - Ryan Gray
- Dahdaleh Institute for Global Health Research, York University, Toronto, Ontario, Canada
| | - Eduardo Gallo-Cajiao
- Department of Human Dimensions of Natural Resources, Colorado State University, Fort Collins, Colorado, United States of America
| | - Arne Ruckert
- AMR Policy Accelerator, York University, Toronto, Ontario, Canada
- Global Strategy Lab, York University, Toronto, Ontario, Canada
| | - Chloe Clifford Astbury
- Dahdaleh Institute for Global Health Research, York University, Toronto, Ontario, Canada
- School of Global Health, York University, Toronto, Ontario, Canada
| | - Ronald Labonté
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
| | - Peter Tsasis
- School of Health Policy and Management, York University, Toronto, Ontario, Canada
- Dahdaleh Institute for Global Health Research, York University, Toronto, Ontario, Canada
| | - A. M. Viens
- School of Global Health, York University, Toronto, Ontario, Canada
- Global Strategy Lab, York University, Toronto, Ontario, Canada
| | - Mary Wiktorowicz
- School of Health Policy and Management, York University, Toronto, Ontario, Canada
- Dahdaleh Institute for Global Health Research, York University, Toronto, Ontario, Canada
- School of Global Health, York University, Toronto, Ontario, Canada
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3
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Blanco J, Trinité B, Puig‐Barberà J. Rethinking Optimal Immunogens to Face SARS-CoV-2 Evolution Through Vaccination. Influenza Other Respir Viruses 2025; 19:e70076. [PMID: 39871737 PMCID: PMC11773156 DOI: 10.1111/irv.70076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2024] [Revised: 12/23/2024] [Accepted: 01/15/2025] [Indexed: 01/29/2025] Open
Abstract
SARS-CoV-2, which originated in China in late 2019, quickly fueled the global COVID-19 pandemic, profoundly impacting health and the economy worldwide. A series of vaccines, mostly based on the full SARS-CoV-2 Spike protein, were rapidly developed, showing excellent humoral and cellular responses and high efficacy against both symptomatic infection and severe disease. However, viral evolution and the waning humoral neutralizing responses strongly challenged vaccine long term effectiveness, mainly against symptomatic infection, making necessary a strategy of repeated and updated booster shots. In this repeated vaccination context, antibody repertoire diversification was evidenced, although immune imprinting after booster doses or reinfection was also demonstrated and identified as a major determinant of immunological responses to repeated antigen exposures. Considering that a small domain of the SARS-CoV-2 Spike protein, the receptor binding domain (RBD), is the major target of neutralizing antibodies and concentrates most viral mutations, the following text aims to provide insights into the ongoing debate over the best strategies for vaccine boosters. We address the relevance of developing new booster vaccines that target the evolving RBD, thus focusing on the relevant antigenic sites of the SARS-CoV-2 new variants. A combination of this strategy with immunofusing and computerized approaches could minimize immune imprinting, therefore optimizing neutralizing immune responses and booster vaccine efficacy.
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Affiliation(s)
- Julià Blanco
- IrsiCaixaBadalonaCataloniaSpain
- Germans Trias i Pujol Research Institute (IGTP)BadalonaCataloniaSpain
- CIBER de Enfermedades InfecciosasMadridSpain
- Chair in Infectious Diseases and Immunity, Faculty of MedicineUniversity of Vic‐Central University of Catalonia (UVic‐UCC)VicCataloniaSpain
| | | | - Joan Puig‐Barberà
- Área de Investigación en VacunasFundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat ValencianaValenciaSpain
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4
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Grassly NC, Shaw AG, Owusu M. Global wastewater surveillance for pathogens with pandemic potential: opportunities and challenges. THE LANCET. MICROBE 2025; 6:100939. [PMID: 39222653 DOI: 10.1016/j.lanmic.2024.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 06/24/2024] [Accepted: 07/01/2024] [Indexed: 09/04/2024]
Abstract
Wastewater surveillance holds great promise as a sensitive method to detect spillover of zoonotic infections and early pandemic emergence, thereby informing risk mitigation and public health response. Known viruses with pandemic potential are shed in human stool or urine, or both, and the experiences with SARS-CoV-2, monkeypox virus, and Zika virus highlight the feasibility of community-based wastewater surveillance for pandemic viruses that have different transmission routes. We reviewed human shedding and wastewater surveillance data for prototype viruses representing viral families of concern to estimate the likely sensitivity of wastewater surveillance compared with that of clinical surveillance. We examined how data on wastewater surveillance detection, together with viral genetic sequences and animal faecal biomarkers, could be used to identify spillover infections or early human transmission and adaptation. The opportunities and challenges associated with global wastewater surveillance for the prevention of pandemics are described in this Personal View, focusing on low-income and middle-income countries, where the risk of pandemic emergence is the highest. We propose a research and public health agenda to ensure an equitable and sustainable solution to these challenges.
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Affiliation(s)
- Nicholas C Grassly
- Department of Infectious Disease Epidemiology & MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.
| | - Alexander G Shaw
- Department of Infectious Disease Epidemiology & MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK
| | - Michael Owusu
- Department of Medical Diagnostics, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
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5
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Andersen-Ranberg E, Nymo IH, Jokelainen P, Emelyanova A, Jore S, Laird B, Davidson RK, Ostertag S, Bouchard E, Fagerholm F, Skinner K, Acquarone M, Tryland M, Dietz R, Abass K, Rautio A, Hammer S, Evengård B, Thierfelder T, Stimmelmayr R, Jenkins E, Sonne C. Environmental stressors and zoonoses in the Arctic: Learning from the past to prepare for the future. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 957:176869. [PMID: 39423885 DOI: 10.1016/j.scitotenv.2024.176869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Revised: 10/06/2024] [Accepted: 10/09/2024] [Indexed: 10/21/2024]
Abstract
The risk of zoonotic disease transmission from animals to humans is elevated for people in close contact with domestic and wild animals. About three-quarters of all known human infectious diseases are zoonotic, and potential health impacts of these diseases are higher where infectious disease surveillance and access to health care and public health services are limited. This is especially the case for remote circumarctic regions, where drivers for endemic, emerging, and re-emerging zoonotic diseases include anthropogenic influences, such as pollution by long-range transport of industrial chemicals, climate change, loss of biodiversity and ecosystem alterations. In addition to these, indirect effects including natural changes in food web dynamics, appearance of invasive species and thawing permafrost also affect the risk of zoonotic disease spill-over. In other words, the Arctic represents a changing world where pollution, loss of biodiversity and habitat, and maritime activity are likely driving forward occurrence of infectious diseases. As a broad international consortium with a wide range of expertise, we here describe a selection of case studies highlighting the importance of a One Health approach to zoonoses in the circumarctic, encompassing human health, animal health, and environmental health aspects. The cases highlight critical gaps in monitoring and current knowledge, focusing on environmental stressors and lifestyle factors, and they are examples of current occurrences in the Arctic that inform on critically needed actions to prepare us for the future. Through these presentations, we recommend measures to enhance awareness and management of existing and emerging zoonoses with epidemic and pandemic potential while also focusing on the impacts of various environmental stressors and lifestyle factors on zoonoses in the Arctic.
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Affiliation(s)
- Emilie Andersen-Ranberg
- University of Copenhagen, Faculty of Health and Medical Sciences, Department of Veterinary Clinical Sciences, Dyrlægevej 16, 1870 Frederiksberg, Denmark.
| | - Ingebjørg H Nymo
- Norwegian Veterinary Institute, Holtveien 66, 9016 Tromsø, Norway; Department of Arctic and Marine Biology, UiT - The Arctic University of Norway, Framstredet 39, Breivika, 9019 Tromsø, Norway
| | - Pikka Jokelainen
- Infectious Disease Preparedness, Statens Serum Institut, Artillerivej 5, 2300 Copenhagen, Denmark
| | - Anastasia Emelyanova
- Thule Institute, University of Oulu, Paavo Havaksen tie 3, 90570 Oulu, Finland; Research Unit of Biomedicine and Internal Medicine, Faculty of Medicine, University of Oulu, Paavo Havaksen tie 3 Linnanmaa, 90014, Finland
| | - Solveig Jore
- Department of Zoonotic, Food & Waterborne Infections, Norwegian Institute of Public Health, Postbox 222 Skøyen, 0213 Oslo, Norway
| | - Brian Laird
- School of Public Health Sciences, University of Waterloo, 200 University Ave W, Waterloo, ON N2L 3G1, Canada
| | | | - Sonja Ostertag
- School of Public Health Sciences, University of Waterloo, 200 University Ave W, Waterloo, ON N2L 3G1, Canada
| | - Emilie Bouchard
- Ecotoxicology and Wildlife Health Division, Environment and Climate Change Canada, St Hyacinthe J2T 1B3, Canada; Department of Veterinary Microbiology, University of Saskatchewan, 52 Campus Drive, Saskatoon S7N 5B4, Canada
| | - Freja Fagerholm
- Department of Clinical Microbiology and the Arctic Center, Umeå University, Johan Bures Väg 5, 90187 Umeå, Sweden
| | - Kelly Skinner
- School of Public Health Sciences, University of Waterloo, 200 University Ave W, Waterloo, ON N2L 3G1, Canada
| | - Mario Acquarone
- Arctic Monitoring and Assessment Programme, Hjalmar Johansens gate 14, 9007 Tromsø, Norway
| | - Morten Tryland
- Department of Forestry and Wildlife Management, Inland Norway University of Applied Sciences, Anne Evenstads Veg 80, 2480 Koppang, Norway
| | - Rune Dietz
- Aarhus University, Faculty of Technological Sciences, Department of Ecoscience, Frederiksborgvej 399, 4000 Roskilde, Denmark
| | - Khaled Abass
- Research Unit of Biomedicine and Internal Medicine, Faculty of Medicine, University of Oulu, Paavo Havaksen tie 3 Linnanmaa, 90014, Finland; Department of Environmental Health Sciences, College of Health Sciences, University of Sharjah, postbox 27272, United Arab Emirates
| | - Arja Rautio
- Thule Institute, University of Oulu, Paavo Havaksen tie 3, 90570 Oulu, Finland; Research Unit of Biomedicine and Internal Medicine, Faculty of Medicine, University of Oulu, Paavo Havaksen tie 3 Linnanmaa, 90014, Finland
| | - Sjúrður Hammer
- Faroese Environment Agency, Traðagøta 38, 165 Argir, Faroe Islands; University of the Faroe Islands, Vestara Bryggja 15, 100 Tórshavn, Faroe Islands
| | - Birgitta Evengård
- Department of Clinical Microbiology and the Arctic Center, Umeå University, Johan Bures Väg 5, 90187 Umeå, Sweden
| | - Tomas Thierfelder
- Department of Energy and Technology, Swedish University of Agricultural Sciences, postbox 75651, Uppsala, Sweden
| | - Raphaela Stimmelmayr
- Department of Wildlife management, North Slope Borough, postbox 69, 99723 Utqiagvik, AK, USA
| | - Emily Jenkins
- Department of Veterinary Microbiology, University of Saskatchewan, 52 Campus Drive, Saskatoon S7N 5B4, Canada
| | - Christian Sonne
- Aarhus University, Faculty of Technological Sciences, Department of Ecoscience, Frederiksborgvej 399, 4000 Roskilde, Denmark.
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6
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Msimang A, Edwards S, Alloggio S, Tandlich R. Human well-being and animal welfare: Is there an ethical link to be implemented from the COVID-19 pandemic into the practice of emergency management? Am J Disaster Med 2024; 19:237-250. [PMID: 39648780 DOI: 10.5055/ajdm.0481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/10/2024]
Abstract
Through the definition of risk management and its interpretation in multidimensional protection of humans and animals in emergencies and during disasters, in this article, the authors focus on the ethical links between human well-being and animal welfare in emergency and disaster risk management. Coronavirus disease 2019 and its impact on animal welfare are used to consistently demonstrate the link between human well-being and animal welfare. Examples of international legal and ethical norms are provided to demonstrate the need for protecting humans and animals in emergencies and disasters, such as the proposed Universal Declaration of Animal Welfare. The proposed link is ultimately an expression of duty of care required for emergency and disaster risk managers.
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Affiliation(s)
- Asante Msimang
- Disaster Management and Ethics Research Group (DMERG), Faculty of Pharmacy, Rhodes University, Makhanda, South Africa
| | - Shelley Edwards
- Zoology & Entomology Molecular Lab (ZEML), Department of Zoology and Entomology, Rhodes University, Makhanda, South Africa
| | - Sergio Alloggio
- Independent Scholar and External Associate, Disaster Management and Ethics Research Group (DMERG), Makhanda, South Africa
| | - Roman Tandlich
- Disaster Management and Ethics Research Group (DMERG), Faculty of Pharmacy, Rhodes University, Makhanda, South Africa
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7
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Goulet C, de Garine-Wichatitsky M, Chardonnet P, de Klerk LM, Kock R, Muset S, Suu-Ire R, Caron A. An operational framework for wildlife health in the One Health approach. One Health 2024; 19:100922. [PMID: 39534689 PMCID: PMC11554623 DOI: 10.1016/j.onehlt.2024.100922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Accepted: 10/21/2024] [Indexed: 11/16/2024] Open
Abstract
Wildlife is an essential component of biodiversity and provides people with multiple social and economic benefits. However, a resurgence of epidemics over the past two decades has highlighted wildlife's role as a potential source of dangerous pathogens for humans and livestock, with devastating consequences worldwide. Simultaneously, numerous reports have indicated that wildlife populations are declining at an alarming rate due to human and livestock pathogens, predation, and competition. An integrated approach to managing wildlife, human, and domestic animal health is therefore clearly needed. Yet this integration often fails to materialize due to a lack of wildlife health standards and know-how. Here, we present an operational framework that follows a step-by-step approach: i) a holistic definition of human health is adapted to the context of other-than-human animals, including wildlife; then, ii) different categories of wildlife living within a landscape or a country are defined based on the management systems under which they live. For each wildlife category, the type (natural vs. anthropogenic) of habitat, the nature of the interface of wildlife with humans and/or livestock, and the level of sanitary control are defined; and finally, iii) the holistic definition of wildlife health is considered in relation to each wildlife category to define health challenges and the domains of expertise required to address them. This framework can assist national and international agencies, including veterinary and wildlife authorities and policy makers, in defining wildlife health priorities, responsibilities, policies and capacity building strategies. The extensive interdisciplinary collaboration needed to manage the many different aspects of wildlife health calls for a more integrated One Health approach.
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Affiliation(s)
- C. Goulet
- Colibri consulting, Maputo, Mozambique
| | | | - P. Chardonnet
- International Union for Conservation of Nature (IUCN), SSC Antelope Specialist Group, Gland, Switzerland
- International Union for Conservation of Nature (IUCN), SSC Wildlife Health Specialits Group, Switzerland
| | - L.-M. de Klerk
- Department of Agriculture, Land Reform and Rural Development (DALRRD), State Veterinary Office & Laboratory, Kruger National Park, Skukuza, South Africa
| | - R. Kock
- Royal Veterinary College (RVC), London, United Kingdom
| | - S. Muset
- World Organisation for Animal Health, Paris, France
| | - R. Suu-Ire
- School of Veterinary Medicine, University of Ghana, Accra, Ghana
| | - A. Caron
- ASTRE, University of Montpellier, CIRAD, INRAE, MUSE, Montpellier, France
- International Livestock Research Institute (ILRI), Nairobi, Kenya
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8
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Li R, Tendu A, Kane Y, Omondi V, Ying J, Mao L, Xu S, Xu R, Chen X, Chen Y, Descorps-Declère S, Bienes KM, Fassatoui M, Hughes AC, Berthet N, Wong G. Differential prevalence and risk factors for infection with coronaviruses in bats collected from Yunnan Province, China. One Health 2024; 19:100923. [PMID: 39605930 PMCID: PMC11600012 DOI: 10.1016/j.onehlt.2024.100923] [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: 05/24/2024] [Revised: 10/25/2024] [Accepted: 10/26/2024] [Indexed: 11/29/2024] Open
Abstract
Coronaviruses (CoVs) pose a threat to human health globally, as highlighted by severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS) and the COVID-19 pandemic. Bats from the Greater Mekong Subregion (GMS) are an important natural reservoir for CoVs. Here we report the differential prevalence of CoVs in bats within Yunnan Province across biological and ecological variables. We also show the coexistence of CoVs in individual bats and identify an additional putative host for SARS-related CoV, with higher dispersal capacity than other known hosts. Notably, 11 SARS-related coronaviruses (SARSr-CoVs) were discovered in horseshoe bats (family Rhinolophidae) and a Chinese water myotis bat (Myotis laniger) by pan-CoV detection and Illumina sequencing. Our findings facilitate an understanding of the fundamental features of the distribution and circulation of CoVs in nature as well as zoonotic spillover risk in the One health framework.
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Affiliation(s)
- Ruiya Li
- Viral Hemorrhagic Fevers Research Unit, Institut Pasteur of Shanghai (now Shanghai Institute of Immunity and Infection), Chinese Academy of Sciences, Shanghai 200031, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Alexander Tendu
- Viral Hemorrhagic Fevers Research Unit, Institut Pasteur of Shanghai (now Shanghai Institute of Immunity and Infection), Chinese Academy of Sciences, Shanghai 200031, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yakhouba Kane
- Viral Hemorrhagic Fevers Research Unit, Institut Pasteur of Shanghai (now Shanghai Institute of Immunity and Infection), Chinese Academy of Sciences, Shanghai 200031, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Victor Omondi
- University of Chinese Academy of Sciences, Beijing 100049, China
- Centre for Microbes, Development and Health, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Unit of Discovery and Molecular Characterization of Pathogens, Shanghai 200031, China
| | - Jiaxu Ying
- University of Chinese Academy of Sciences, Beijing 100049, China
- Centre for Microbes, Development and Health, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Unit of Discovery and Molecular Characterization of Pathogens, Shanghai 200031, China
| | - Lingjing Mao
- University of Chinese Academy of Sciences, Beijing 100049, China
- Centre for Microbes, Development and Health, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Unit of Discovery and Molecular Characterization of Pathogens, Shanghai 200031, China
| | - Shiman Xu
- Viral Hemorrhagic Fevers Research Unit, Institut Pasteur of Shanghai (now Shanghai Institute of Immunity and Infection), Chinese Academy of Sciences, Shanghai 200031, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Rong Xu
- Viral Hemorrhagic Fevers Research Unit, Institut Pasteur of Shanghai (now Shanghai Institute of Immunity and Infection), Chinese Academy of Sciences, Shanghai 200031, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xing Chen
- Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, Mengla, Yunnan 666303, China
| | - Yanhua Chen
- Viral Hemorrhagic Fevers Research Unit, Institut Pasteur of Shanghai (now Shanghai Institute of Immunity and Infection), Chinese Academy of Sciences, Shanghai 200031, China
| | | | - Kathrina Mae Bienes
- Centre for Microbes, Development and Health, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Unit of Discovery and Molecular Characterization of Pathogens, Shanghai 200031, China
| | - Meriem Fassatoui
- Centre for Microbes, Development and Health, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Unit of Discovery and Molecular Characterization of Pathogens, Shanghai 200031, China
| | - Alice C. Hughes
- Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, Mengla, Yunnan 666303, China
| | - Nicolas Berthet
- Centre for Microbes, Development and Health, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Unit of Discovery and Molecular Characterization of Pathogens, Shanghai 200031, China
- Institut Pasteur, Unité Environnement et Risque Infectieux, Cellule d'Intervention Biologique d'Urgence, 75015 Paris, France
| | - Gary Wong
- Viral Hemorrhagic Fevers Research Unit, Institut Pasteur of Shanghai (now Shanghai Institute of Immunity and Infection), Chinese Academy of Sciences, Shanghai 200031, China
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9
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Horton L. 'Zoonati' vs. 'epistemic tresspasers': Science identity in contentious online advocacy campaigns on the origins of SARS-CoV-2. SOCIAL STUDIES OF SCIENCE 2024:3063127241294028. [PMID: 39529392 DOI: 10.1177/03063127241294028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2024]
Abstract
This article explores how science is mobilized as a collective identity, normative ideal, and instrumental tactic in contentious online global advocacy campaigns on the origins of the SARS-CoV-2 virus. It incorporates qualitative analysis of over 2300 public Twitter postings by core zoonosis and lab origin proponents who identify as scientists. These online exchanges provide a real-time window into how the collective identity of scientist is constructed and mobilized as a master frame. Similarly, this paper explores ways in which the boundaries of science, conspiracy, and politics are set and contested in a context of complex and fast-moving global events.
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10
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Liu Z, Shen Y, Jiang Y, Zhu H, Hu H, Kang Y, Chen M, Li Z. Variation and evolution analysis of SARS-CoV-2 using self-game sequence optimization. Front Microbiol 2024; 15:1485748. [PMID: 39588108 PMCID: PMC11586374 DOI: 10.3389/fmicb.2024.1485748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2024] [Accepted: 10/18/2024] [Indexed: 11/27/2024] Open
Abstract
Introduction The evolution of SARS-CoV-2 has precipitated the emergence of new mutant strains, some exhibiting enhanced transmissibility and immune evasion capabilities, thus escalating the infection risk and diminishing vaccine efficacy. Given the continuous impact of SARS-CoV-2 mutations on global public health, the economy, and society, a profound comprehension of potential variations is crucial to effectively mitigate the impact of viral evolution. Yet, this task still faces considerable challenges. Methods This study introduces DARSEP, a method based on Deep learning Associates with Reinforcement learning for SARS-CoV-2 Evolution Prediction, combined with self-game sequence optimization and RetNet-based model. Results DARSEP accurately predicts evolutionary sequences and investigates the virus's evolutionary trajectory. It filters spike protein sequences with optimal fitness values from an extensive mutation space, selectively identifies those with a higher likelihood of evading immune detection, and devises a superior evolutionary analysis model for SARS-CoV-2 spike protein sequences. Comprehensive downstream task evaluations corroborate the model's efficacy in predicting potential mutation sites, elucidating SARS-CoV-2's evolutionary direction, and analyzing the development trends of Omicron variant strains through semantic changes. Conclusion Overall, DARSEP enriches our understanding of the dynamic evolution of SARS-CoV-2 and provides robust support for addressing present and future epidemic challenges.
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Affiliation(s)
- Ziyu Liu
- School of Information Engineering, Huzhou University, Huzhou, Zhejiang, China
| | - Yi Shen
- College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yunliang Jiang
- School of Computer Science and Technology, Zhejiang Normal University, Jinhua, Zhejiang, China
| | - Hancan Zhu
- School of Mathematics, Physics and Information, Shaoxing University, Shaoxing, Zhejiang, China
| | - Hailong Hu
- School of Information Engineering, Huzhou University, Huzhou, Zhejiang, China
| | - Yanlei Kang
- School of Information Engineering, Huzhou University, Huzhou, Zhejiang, China
| | - Ming Chen
- College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China
| | - Zhong Li
- School of Information Engineering, Huzhou University, Huzhou, Zhejiang, China
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11
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Zhang L, Cheng HH, Krüger N, Hörnich B, Graichen L, Hahn AS, Schulz SR, Jäck HM, Stankov MV, Behrens GMN, Müller MA, Drosten C, Mörer O, Winkler MS, Qian Z, Pöhlmann S, Hoffmann M. ACE2-independent sarbecovirus cell entry can be supported by TMPRSS2-related enzymes and can reduce sensitivity to antibody-mediated neutralization. PLoS Pathog 2024; 20:e1012653. [PMID: 39536058 PMCID: PMC11559990 DOI: 10.1371/journal.ppat.1012653] [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] [Received: 09/26/2024] [Accepted: 10/10/2024] [Indexed: 11/16/2024] Open
Abstract
The COVID-19 pandemic, caused by SARS-CoV-2, demonstrated that zoonotic transmission of animal sarbecoviruses threatens human health but the determinants of transmission are incompletely understood. Here, we show that most spike (S) proteins of horseshoe bat and Malayan pangolin sarbecoviruses employ ACE2 for entry, with human and raccoon dog ACE2 exhibiting broad receptor activity. The insertion of a multibasic cleavage site into the S proteins increased entry into human lung cells driven by most S proteins tested, suggesting that acquisition of a multibasic cleavage site might increase infectivity of diverse animal sarbecoviruses for the human respiratory tract. In contrast, two bat sarbecovirus S proteins drove cell entry in an ACE2-independent, trypsin-dependent fashion and several ACE2-dependent S proteins could switch to the ACE2-independent entry pathway when exposed to trypsin. Several TMPRSS2-related cellular proteases but not the insertion of a multibasic cleavage site into the S protein allowed for ACE2-independent entry in the absence of trypsin and may support viral spread in the respiratory tract. Finally, the pan-sarbecovirus antibody S2H97 enhanced cell entry driven by two S proteins and this effect was reversed by trypsin while trypsin protected entry driven by a third S protein from neutralization by S2H97. Similarly, plasma from quadruple vaccinated individuals neutralized entry driven by all S proteins studied, and availability of the ACE2-independent, trypsin-dependent pathway reduced neutralization sensitivity. In sum, our study reports a pathway for entry into human cells that is ACE2-independent, can be supported by TMPRSS2-related proteases and may be associated with antibody evasion.
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Affiliation(s)
- Lu Zhang
- Infection Biology Unit, German Primate Center–Leibniz Institute for Primate Research, Göttingen, Germany
- Faculty of Biology and Psychology, Georg-August-University Göttingen, Göttingen, Germany
| | - Hsiu-Hsin Cheng
- Infection Biology Unit, German Primate Center–Leibniz Institute for Primate Research, Göttingen, Germany
- Faculty of Biology and Psychology, Georg-August-University Göttingen, Göttingen, Germany
| | - Nadine Krüger
- Platform Infection Models, German Primate Center, Göttingen, Germany
| | - Bojan Hörnich
- Junior Research Group Herpesviruses, German Primate Center, Göttingen, Germany
| | - Luise Graichen
- Infection Biology Unit, German Primate Center–Leibniz Institute for Primate Research, Göttingen, Germany
- Faculty of Biology and Psychology, Georg-August-University Göttingen, Göttingen, Germany
| | - Alexander S. Hahn
- Junior Research Group Herpesviruses, German Primate Center, Göttingen, Germany
| | - Sebastian R. Schulz
- Division of Molecular Immunology, Department of Internal Medicine 3, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen, Germany
| | - Hans-Martin Jäck
- Division of Molecular Immunology, Department of Internal Medicine 3, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen, Germany
| | - Metodi V. Stankov
- Department of Rheumatology and Immunology, Hannover Medical School, Hannover, Germany
| | - Georg M. N. Behrens
- Department of Rheumatology and Immunology, Hannover Medical School, Hannover, Germany
- German Centre for Infection Research (DZIF), partner site Hannover-Braunschweig, Hannover, Germany
| | - Marcel A. Müller
- Institute of Virology, Campus Charité Mitte, Charité—Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- German Centre for Infection Research (DZIF), partner site Berlin, Berlin, Germany
| | - Christian Drosten
- Institute of Virology, Campus Charité Mitte, Charité—Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- German Centre for Infection Research (DZIF), partner site Berlin, Berlin, Germany
| | - Onnen Mörer
- Department of Anesthesiology, University of Göttingen Medical Center, Göttingen, Georg-August University of Göttingen, Göttingen, Germany
| | - Martin Sebastian Winkler
- Department of Anesthesiology, University of Göttingen Medical Center, Göttingen, Georg-August University of Göttingen, Göttingen, Germany
| | - ZhaoHui Qian
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Stefan Pöhlmann
- Infection Biology Unit, German Primate Center–Leibniz Institute for Primate Research, Göttingen, Germany
- Faculty of Biology and Psychology, Georg-August-University Göttingen, Göttingen, Germany
| | - Markus Hoffmann
- Infection Biology Unit, German Primate Center–Leibniz Institute for Primate Research, Göttingen, Germany
- Faculty of Biology and Psychology, Georg-August-University Göttingen, Göttingen, Germany
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12
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Radulescu D, Calafeteanu DM, Radulescu PM, Boldea GJ, Mercut R, Ciupeanu-Calugaru ED, Georgescu EF, Boldea AM, Georgescu I, Caluianu EI, Marinescu GA, Trasca ET. Enhancing the Understanding of Abdominal Trauma During the COVID-19 Pandemic Through Co-Occurrence Analysis and Machine Learning. Diagnostics (Basel) 2024; 14:2444. [PMID: 39518411 PMCID: PMC11544937 DOI: 10.3390/diagnostics14212444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2024] [Revised: 10/02/2024] [Accepted: 10/07/2024] [Indexed: 11/16/2024] Open
Abstract
BACKGROUND This study examines the impact of the COVID-19 pandemic on abdominal trauma management by comparing pre-pandemic (17 February 2018-26 February 2020) and pandemic periods (27 February 2020-7 March 2022). METHODS Analyzing data from 118 patients at the Emergency County Clinical Hospital of Craiova, we identified significant shifts in clinical practices affecting patient outcomes. RESULTS During the pandemic, a moderate increase in surgical interventions for specific abdominal traumas indicated the effective adaptation of the medical system. Prioritizing critical cases and deferring non-urgent procedures optimized limited resources. Demographic and clinical factors-including age, sex, body mass index (BMI), and red cell distribution width (RDW)-significantly influenced the hospitalization duration and recovery outcomes. Gender disparities in mortality lessened during the pandemic, possibly due to standardized interventions and the physiological effects of SARS-CoV-2. The link between occupation and obesity highlighted how work environments impact trauma severity, especially as lifestyle changes affect BMI. While age remained a major predictor of mortality, its influence slightly decreased, potentially due to improved protocols for elderly patients. RDW emerged as an important prognostic marker for disease severity and mortality risk. CONCLUSIONS Employing advanced co-occurrence analysis enhanced with machine learning, we uncovered complex relationships between clinical and demographic variables often overlooked by traditional methods. This innovative approach provided deeper insights into the collective impact of various factors on patient outcomes. Our findings demonstrate the healthcare system's rapid adaptations during the pandemic and offer critical insights for optimizing medical strategies and developing personalized interventions in global crises.
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Affiliation(s)
- Dumitru Radulescu
- Department of Surgery, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (D.R.); (I.G.); (E.-I.C.); (E.-T.T.)
| | - Dan Marian Calafeteanu
- Department of Ortopedics, The Military Emergency Clinical Hospital ‘Dr. Stefan Odobleja’ Craiova, 200749 Craiova, Romania
| | | | - Gheorghe-Jean Boldea
- Doctoral School, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (A.M.B.); (G.-A.M.)
| | - Razvan Mercut
- Department of Plastic and Reconstructive Surgery, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania;
| | | | - Eugen-Florin Georgescu
- Department of Surgery, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (D.R.); (I.G.); (E.-I.C.); (E.-T.T.)
| | - Ana Maria Boldea
- Doctoral School, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (A.M.B.); (G.-A.M.)
| | - Ion Georgescu
- Department of Surgery, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (D.R.); (I.G.); (E.-I.C.); (E.-T.T.)
| | - Elena-Irina Caluianu
- Department of Surgery, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (D.R.); (I.G.); (E.-I.C.); (E.-T.T.)
| | - Georgiana-Andreea Marinescu
- Doctoral School, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (A.M.B.); (G.-A.M.)
| | - Emil-Tiberius Trasca
- Department of Surgery, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (D.R.); (I.G.); (E.-I.C.); (E.-T.T.)
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13
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Xia X. How Trustworthy Are the Genomic Sequences of SARS-CoV-2 in GenBank? Microorganisms 2024; 12:2187. [PMID: 39597576 PMCID: PMC11596409 DOI: 10.3390/microorganisms12112187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2024] [Revised: 10/27/2024] [Accepted: 10/27/2024] [Indexed: 11/29/2024] Open
Abstract
Well-annotated gene and genomic sequences serve as a foundation for making inferences in molecular biology and evolution and can directly impact public health. The first SARS-CoV-2 genome was submitted to the GenBank database hosted by the U.S. National Center for Biotechnology Information and used to develop the two successful vaccines. Conserved protein domains are often chosen as targets for developing antiviral medicines or vaccines. Mutation and substitution patterns provide crucial information not only on functional motifs and genome/protein interactions but also for characterizing phylogenetic relationships among viral strains. These patterns, together with the collection time of viral samples, serve as the basis for addressing the question of when and where the host-switching event occurred. Unfortunately, viral genomic sequences submitted to GenBank undergo little quality control, and critical information in the annotation is frequently changed without being recorded. Researchers often have no choice but to hold blind faith in the authenticity of the sequences. There have been reports of incorrect genome annotation but no report that casts doubt on the genomic sequences themselves because it seems theoretically impossible to identify genomic sequences that may not be authentic. This paper takes an innovative approach to show that some SARS-CoV-2 genomes submitted to GenBank cannot possibly be authentic. Specifically, some SARS-CoV-2 genomic sequences deposited in GenBank with collection times in 2023 and 2024, isolated from saliva, nasopharyngeal, sewage, and stool, are identical to the reference genome of SARS-CoV-2 (NC_045512). The probability of such occurrence is effectively 0. I also compile SARS-CoV-2 genomes with changed sample collection times. One may be led astray in bioinformatic analysis without being aware of errors in sequences and sequence annotation.
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Affiliation(s)
- Xuhua Xia
- Department of Biology, University of Ottawa, Marie-Curie Private, Ottawa, ON K1N 6N5, Canada;
- Ottawa Institute of Systems Biology, University of Ottawa, Ottawa, ON K1H 8M5, Canada
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14
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Yaglom HD, Van Pelt L, Howard AL, Jansen B, Smith P, Sorensen R, Hecht G, Venkat H, Justice-Allen A, Bergman DL, Engelthaler DM. Convenience Sampling Yields No Evidence of SARS-CoV-2 Infection in Free-Ranging Mammalian Wildlife in Arizona, USA, 2021-23. J Wildl Dis 2024; 60:1016-1020. [PMID: 39041241 DOI: 10.7589/jwd-d-23-00153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 06/05/2024] [Indexed: 07/24/2024]
Abstract
Susceptibility of free-ranging US wildlife to SARS-CoV-2 infection has been documented. Nasal or oral swabs and blood from 337 wild mammals (31 species) in Arizona USA, tested for antibodies and by reverse-transcription PCR, did not reveal evidence of SARS-CoV-2. Broader surveillance efforts are necessary to understand the role of wildlife.
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Affiliation(s)
- Hayley D Yaglom
- Translational Genomics Research Institute, 3051 W. Shamrell Boulevard, Suite 106, Flagstaff, Arizona 86005
| | - Lolita Van Pelt
- United States Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, 8836 N. 23 Avenue, Suite 2, Phoenix, Arizona 85021
| | - April L Howard
- Arizona Game and Fish Department, 5000 W. Carefree Highway, Phoenix, Arizona 85086
| | - Brian Jansen
- Arizona Game and Fish Department, 5000 W. Carefree Highway, Phoenix, Arizona 85086
| | - Payton Smith
- Translational Genomics Research Institute, 3051 W. Shamrell Boulevard, Suite 106, Flagstaff, Arizona 86005
| | - Rebekah Sorensen
- Translational Genomics Research Institute, 3051 W. Shamrell Boulevard, Suite 106, Flagstaff, Arizona 86005
| | - Gavriella Hecht
- Arizona Department of Health Services, 150 N. 18th Avenue, Phoenix, Arizona 85007
| | - Heather Venkat
- Arizona Department of Health Services, 150 N. 18th Avenue, Phoenix, Arizona 85007
- Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, Georgia 30333
| | - Anne Justice-Allen
- Arizona Game and Fish Department, 5000 W. Carefree Highway, Phoenix, Arizona 85086
| | - David L Bergman
- United States Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, 8836 N. 23 Avenue, Suite 2, Phoenix, Arizona 85021
- Co-senior authors
| | - David M Engelthaler
- Translational Genomics Research Institute, 3051 W. Shamrell Boulevard, Suite 106, Flagstaff, Arizona 86005
- Co-senior authors
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15
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Persoons R, Van Mieghem P. Finding patient zero in susceptible-infectious-susceptible epidemic processes. Phys Rev E 2024; 110:044308. [PMID: 39562901 DOI: 10.1103/physreve.110.044308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2024] [Accepted: 09/18/2024] [Indexed: 11/21/2024]
Abstract
Finding the source of an epidemic is important, because correct source identification can help to stop a budding epidemic or prevent new ones. We investigate the backward equations of the N-intertwined mean-field approximation susceptible-infectious-susceptible (SIS) process. The backward equations allow us to trace the epidemic back to its source on networks of sizes up to at least N=1500. Additionally, we show that the source of the "more realistic" Markovian SIS model cannot feasibly be found, even in a "best-case scenario," where the infinitesimal generator Q, which completely describes the epidemic process and the underlying contact network, is known. The Markovian initial condition s(0), which reveals the epidemic source, can be found analytically when the viral state vector s(t) is known at some time t as s(0)=s(t)e^{-Qt}. However, s(0) can hardly be computed, except for small times t. The numerical errors are largely due to the matrix exponential e^{-Qt}, which is severely ill-behaved.
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16
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Crits-Christoph A, Levy JI, Pekar JE, Goldstein SA, Singh R, Hensel Z, Gangavarapu K, Rogers MB, Moshiri N, Garry RF, Holmes EC, Koopmans MPG, Lemey P, Peacock TP, Popescu S, Rambaut A, Robertson DL, Suchard MA, Wertheim JO, Rasmussen AL, Andersen KG, Worobey M, Débarre F. Genetic tracing of market wildlife and viruses at the epicenter of the COVID-19 pandemic. Cell 2024; 187:5468-5482.e11. [PMID: 39303692 PMCID: PMC11427129 DOI: 10.1016/j.cell.2024.08.010] [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: 09/13/2023] [Revised: 05/01/2024] [Accepted: 08/07/2024] [Indexed: 09/22/2024]
Abstract
Zoonotic spillovers of viruses have occurred through the animal trade worldwide. The start of the COVID-19 pandemic was traced epidemiologically to the Huanan Seafood Wholesale Market. Here, we analyze environmental qPCR and sequencing data collected in the Huanan market in early 2020. We demonstrate that market-linked severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genetic diversity is consistent with market emergence and find increased SARS-CoV-2 positivity near and within a wildlife stall. We identify wildlife DNA in all SARS-CoV-2-positive samples from this stall, including species such as civets, bamboo rats, and raccoon dogs, previously identified as possible intermediate hosts. We also detect animal viruses that infect raccoon dogs, civets, and bamboo rats. Combining metagenomic and phylogenetic approaches, we recover genotypes of market animals and compare them with those from farms and other markets. This analysis provides the genetic basis for a shortlist of potential intermediate hosts of SARS-CoV-2 to prioritize for serological and viral sampling.
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Affiliation(s)
| | - Joshua I Levy
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, San Diego, CA 92037, USA
| | - Jonathan E Pekar
- Department of Biomedical Informatics, University of California, San Diego, La Jolla, San Diego, CA, USA
| | - Stephen A Goldstein
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Reema Singh
- Vaccine and Infectious Disease Organization, University of Saskatchewan, Saskatoon, SK, Canada
| | - Zach Hensel
- ITQB NOVA, Universidade NOVA de Lisboa, Av. da República, Oeiras, Lisbon 2780-157, Portugal
| | - Karthik Gangavarapu
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA 90024, USA
| | - Matthew B Rogers
- Vaccine and Infectious Disease Organization, University of Saskatchewan, Saskatoon, SK, Canada
| | - Niema Moshiri
- Department of Computer Science & Engineering, University of California, San Diego, La Jolla, San Diego, CA, USA
| | - Robert F Garry
- Tulane University, School of Medicine, Department of Microbiology and Immunology, New Orleans, LA 70112, USA; Zalgen Labs, Frederick, MD 21703, USA; Global Virus Network (GVN), Baltimore, MD 21201, USA
| | - Edward C Holmes
- School of Medical Sciences, The University of Sydney, Sydney, NSW 2006, Australia
| | - Marion P G Koopmans
- Department of Viroscience, and Pandemic and Disaster Preparedness Centre, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Philippe Lemey
- Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium
| | - Thomas P Peacock
- The Pirbright Institute, Woking GU24 0NF, Surrey, UK; Department of Infectious Disease, Imperial College London, London W2 1P, UK
| | - Saskia Popescu
- University of Maryland, School of Medicine, Department of Epidemiology & Public Health, Baltimore, MD 21201, USA
| | - Andrew Rambaut
- Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, UK
| | - David L Robertson
- MRC-University of Glasgow Center for Virus Research, Glasgow G61 1QH, UK
| | - Marc A Suchard
- Department of Biostatistics, University of California, Los Angeles, Los Angeles, CA 90024, USA
| | - Joel O Wertheim
- Department of Medicine, University of California, San Diego, La Jolla, San Diego, CA, USA
| | - Angela L Rasmussen
- Vaccine and Infectious Disease Organization, University of Saskatchewan, Saskatoon, SK, Canada
| | - Kristian G Andersen
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, San Diego, CA 92037, USA.
| | - Michael Worobey
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA.
| | - Florence Débarre
- Institut d'Écologie et des Sciences de l'Environnement (IEES-Paris, UMR 7618), CNRS, Sorbonne Université, UPEC, IRD, INRAE, Paris, France.
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17
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Alwine J, Goodrum F, Banfield B, Bloom D, Britt WJ, Broadbent AJ, Campos SK, Casadevall A, Chan GC, Cliffe AR, Dermody T, Duprex P, Enquist LW, Frueh K, Geballe AP, Gaglia M, Goldstein S, Greninger AL, Gronvall GK, Jung JU, Kamil JP, Lakdawala S, Liu SL, Luftig M, Moore JP, Moscona A, Neuman BW, Nikolich JŽ, O'Connor C, Pekosz A, Permar S, Pfeiffer J, Purdy J, Rasmussen A, Semler B, Smith GA, Stein DA, Van Doorslaer K, Weller SK, Whelan SPJ, Yurochko A. The harms of promoting the lab leak hypothesis for SARS-CoV-2 origins without evidence. J Virol 2024; 98:e0124024. [PMID: 39087765 PMCID: PMC11406950 DOI: 10.1128/jvi.01240-24] [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] [Indexed: 08/02/2024] Open
Abstract
Science is humanity's best insurance against threats from nature, but it is a fragile enterprise that must be nourished and protected. The preponderance of scientific evidence indicates a natural origin for SARS-CoV-2. Yet, the theory that SARS-CoV-2 was engineered in and escaped from a lab dominates media attention, even in the absence of strong evidence. We discuss how the resulting anti-science movement puts the research community, scientific research, and pandemic preparedness at risk.
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Affiliation(s)
- James Alwine
- Department of Immunobiology, University of Arizona, Tucson, Arizona, USA
- University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Felicia Goodrum
- Department of Immunobiology, University of Arizona, Tucson, Arizona, USA
| | - Bruce Banfield
- Department of Biomedical and Molecular Sciences, Queens University, Kingston, Ontario, Canada
| | - David Bloom
- Department of Molecular Genetics and Microbiology, University of Florida, Gainesville, Florida, USA
| | - William J. Britt
- Department of Pediatrics, University of Alabama, Birmingham, Birmingham, Alabama, USA
| | - Andrew J. Broadbent
- Department of Animal and Avian Sciences, University of Maryland, College Park, Maryland, USA
| | - Samuel K. Campos
- Department of Immunobiology, University of Arizona, Tucson, Arizona, USA
| | - Arturo Casadevall
- Johns Hopkins University, Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Gary C. Chan
- Department of Microbiology and Immunology, SUNY Upstate Medical University, Syracuse, New York, USA
| | - Anna R. Cliffe
- Department of Microbiology, Immunology and Cancer Biology, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Terence Dermody
- Department of Pediatrics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Paul Duprex
- University of Pittsburgh, Center for Vaccine Research, Pittsburgh, Pennsylvania, USA
| | - Lynn W. Enquist
- Department of Immunobiology, University of Arizona, Tucson, Arizona, USA
- Department of Molecular Biology, Princeton University, Princeton, New Jersey, USA
| | - Klaus Frueh
- Oregon Health and Science University, Vaccine and Gene Therapy Institute, Beaverton, Oregon, USA
| | - Adam P. Geballe
- Department of Medicine, University of Washington, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Marta Gaglia
- Department of Medical Microbiology and Immunology, University of Wisconsin, Institute for Molecular Virology, Madison, Wisconsin, USA
| | - Stephen Goldstein
- Department of Human Genetics, University of Utah School of Medicine, Howard Hughes Medical Institute, Salt Lake City, Utah, USA
- Howard Hughes Medical Institute, Chevy Chase, Maryland, USA
| | - Alexander L. Greninger
- Department of Medicine, Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - Gigi Kwick Gronvall
- Johns Hopkins University, Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Jae U. Jung
- Cleveland Clinic, Lerner Research Institute, Cleveland, Ohio, USA
| | - Jeremy P. Kamil
- Department of Microbiology and Immunology, Louisiana State University Health Sciences, Shreveport, Louisiana, USA
| | - Seema Lakdawala
- Department of Microbiology and Immunology, Emory University, Atlanta, Georgia, USA
| | - Shan-Lu Liu
- The Ohio State University, Center for Retrovirus Research and Infectious Disease Institute, Columbus, Ohio, USA
| | - Micah Luftig
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, North Carolina, USA
| | - John P. Moore
- Department of Microbiology and Immunology, Cornell University, Weill Cornell Medicine, New York, New York, USA
| | - Anne Moscona
- Columbia University, Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Benjamin W. Neuman
- Department of Biology, Texas A&M University, College Station, Texas, USA
| | - Janko Ž. Nikolich
- Department of Immunobiology, University of Arizona, Tucson, Arizona, USA
| | | | - Andrew Pekosz
- Johns Hopkins University, Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Sallie Permar
- Department of Pediatrics, Cornell University, Weill Cornell Medicine, New York, New York, USA
| | - Julie Pfeiffer
- University of Texas, Southwestern Medical Center, Dallas, Texas, USA
| | - John Purdy
- Department of Immunobiology, University of Arizona, Tucson, Arizona, USA
| | - Angela Rasmussen
- University of Saskatchewan, College of Medicine, Saskatoon, Canada
| | - Bert Semler
- Department of Microbiology and Molecular Genetics, University of California, Irvine, Irvine, California, USA
| | - Gregory A. Smith
- Department of Microbiology and Immunology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - David A. Stein
- Oregon State University, Carlson College of Veterinary Medicine, Corvallis, Oregon, USA
| | | | - Sandra K. Weller
- Department of Molecular Biology and Biophysics, University of Connecticut, Farmington, Connecticut, USA
| | - Sean P. J. Whelan
- Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Andrew Yurochko
- Department of Microbiology and Immunology, Louisiana State University Health Sciences, Shreveport, Louisiana, USA
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18
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Carolin A, Frazer D, Yan K, Bishop CR, Tang B, Nguyen W, Helman SL, Horvat J, Larcher T, Rawle DJ, Suhrbier A. The effects of iron deficient and high iron diets on SARS-CoV-2 lung infection and disease. Front Microbiol 2024; 15:1441495. [PMID: 39296289 PMCID: PMC11408339 DOI: 10.3389/fmicb.2024.1441495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Accepted: 08/22/2024] [Indexed: 09/21/2024] Open
Abstract
Introduction The severity of Coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is often dictated by a range of comorbidities. A considerable literature suggests iron deficiency and iron overload may contribute to increased infection, inflammation and disease severity, although direct causal relationships have been difficult to establish. Methods Here we generate iron deficient and iron loaded C57BL/6 J mice by feeding standard low and high iron diets, with mice on a normal iron diet representing controls. All mice were infected with a primary SARS-CoV-2 omicron XBB isolate and lung inflammatory responses were analyzed by histology, immunohistochemistry and RNA-Seq. Results Compared with controls, iron deficient mice showed no significant changes in lung viral loads or histopathology, whereas, iron loaded mice showed slightly, but significantly, reduced lung viral loads and histopathology. Transcriptional changes were modest, but illustrated widespread dysregulation of inflammation signatures for both iron deficient vs. controls, and iron loaded vs. controls. Some of these changes could be associated with detrimental outcomes, whereas others would be viewed as beneficial. Discussion Diet-associated iron deficiency or overload thus induced modest modulations of inflammatory signatures, but no significant histopathologically detectable disease exacerbations.
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Affiliation(s)
- Agnes Carolin
- Inflammation Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - David Frazer
- Molecular Nutrition, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Kexin Yan
- Inflammation Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Cameron R Bishop
- Inflammation Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Bing Tang
- Inflammation Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Wilson Nguyen
- Inflammation Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Sheridan L Helman
- Molecular Nutrition, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Jay Horvat
- School of Biomedical Sciences and Pharmacy, Faculty of Health and Medicine, Hunter Medical Research Institute, University of Newcastle, Callaghan, NSW, Australia
| | | | - Daniel J Rawle
- Inflammation Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Andreas Suhrbier
- Inflammation Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- GVN Centre of Excellence, Australian Infectious Disease Research Centre, Brisbane, QLD, Australia
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19
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Holmes EC. The Emergence and Evolution of SARS-CoV-2. Annu Rev Virol 2024; 11:21-42. [PMID: 38631919 DOI: 10.1146/annurev-virology-093022-013037] [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] [Indexed: 04/19/2024]
Abstract
The origin of SARS-CoV-2 has evoked heated debate and strong accusations, yet seemingly little resolution. I review the scientific evidence on the origin of SARS-CoV-2 and its subsequent spread through the human population. The available data clearly point to a natural zoonotic emergence within, or closely linked to, the Huanan Seafood Wholesale Market in Wuhan. There is no direct evidence linking the emergence of SARS-CoV-2 to laboratory work conducted at the Wuhan Institute of Virology. The subsequent global spread of SARS-CoV-2 was characterized by a gradual adaptation to humans, with dual increases in transmissibility and virulence until the emergence of the Omicron variant. Of note has been the frequent transmission of SARS-CoV-2 from humans to other animals, marking it as a strongly host generalist virus. Unless lessons from the origin of SARS-CoV-2 are learned, it is inevitable that more zoonotic events leading to more epidemics and pandemics will plague human populations.
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Affiliation(s)
- Edward C Holmes
- Sydney Institute for Infectious Diseases, School of Medical Sciences, The University of Sydney, Sydney, New South Wales, Australia;
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20
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Hassanin A, Tu VT, Görföl T, Ngon LQ, Pham PV, Hang CT, Tuan TA, Prot M, Simon-Lorière E, Kemenesi G, Tóth GE, Moulin L, Wurtzer S. Phylogeography of horseshoe bat sarbecoviruses in Vietnam and neighbouring countries. Implications for the origins of SARS-CoV and SARS-CoV-2. Mol Ecol 2024; 33:e17486. [PMID: 39161178 DOI: 10.1111/mec.17486] [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: 03/13/2024] [Revised: 07/16/2024] [Accepted: 07/19/2024] [Indexed: 08/21/2024]
Abstract
Previous studies on horseshoe bats (Rhinolophus spp.) have described many coronaviruses related to SARS-CoV (SARSCoVr) in China and only a few coronaviruses related to SARS-CoV-2 (SARSCoV2r) in Yunnan (southern China), Cambodia, Laos and Thailand. Here, we report the results of several field missions carried out in 2017, 2021 and 2022 across Vietnam during which 1218 horseshoe bats were sampled from 19 locations. Sarbecoviruses were detected in 11% of faecal RNA extracts, with much more positives among Rhinolophus thomasi (46%). We assembled 38 Sarbecovirus genomes, including 32 SARSCoVr, four SARSCoV2r, and two recombinants of SARSCoVr and SARSCoV2r (RecSar), one showing a Spike protein very similar to SARS-CoV-2. We detected a bat co-infected with four coronaviruses, including two sarbecoviruses. Our analyses revealed that Sarbecovirus genomes evolve in Vietnam under strong geographical and host constraints. First, we found evidence for a deep separation between viruses from northern Vietnam and those from central and southern Vietnam. Second, we detected only SARSCoVr in Rhinolophus thomasi, both SARSCoVr and SARSCoV2r in Rhinolophus affinis, and only RecSar in Rhinolophus pusillus captured close to the border with China. Third, the bias in favour of Uracil in synonymous third codon positions of SARSCoVr extracted from R. thomasi showed a negative correlation with latitudes. Our results also provided support for an emergence of SARS-CoV in horseshoe bats from northern Yunnan and emergence of SARS-CoV-2 in horseshoe bats from northern Indochina subtropical forests (southern Yunnan, northern Laos and north-western Vietnam).
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Affiliation(s)
- Alexandre Hassanin
- Institut de Systématique, Évolution, Biodiversité (ISYEB), SU, MNHN, CNRS, EPHE, UA, Sorbonne Université, Paris, France
| | - Vuong Tan Tu
- Institute of Ecology and Biological Resources, Vietnam Academy of Science and Technology, Hanoi, Vietnam
| | - Tamás Görföl
- National Laboratory of Virology, Szentágothai Research Centre, University of Pécs, Pécs, Hungary
| | - Lam Quang Ngon
- Institute of Ecology and Biological Resources, Vietnam Academy of Science and Technology, Hanoi, Vietnam
| | - Phu Van Pham
- Institute of Ecology and Biological Resources, Vietnam Academy of Science and Technology, Hanoi, Vietnam
| | - Chu Thi Hang
- Institute of Ecology and Biological Resources, Vietnam Academy of Science and Technology, Hanoi, Vietnam
| | - Tran Anh Tuan
- Institute of Ecology and Biological Resources, Vietnam Academy of Science and Technology, Hanoi, Vietnam
| | - Mathieu Prot
- G5 Evolutionary Genomics of RNA Viruses, Institut Pasteur, Université Paris Cité, Paris, France
| | - Etienne Simon-Lorière
- G5 Evolutionary Genomics of RNA Viruses, Institut Pasteur, Université Paris Cité, Paris, France
| | - Gábor Kemenesi
- National Laboratory of Virology, Szentágothai Research Centre, University of Pécs, Pécs, Hungary
| | - Gábor Endre Tóth
- National Laboratory of Virology, Szentágothai Research Centre, University of Pécs, Pécs, Hungary
| | - Laurent Moulin
- R&D Laboratory, Direction Recherche, Développement et Qualité de l'Eau, Eau de Paris, Ivry-sur-Seine, France
| | - Sébastien Wurtzer
- R&D Laboratory, Direction Recherche, Développement et Qualité de l'Eau, Eau de Paris, Ivry-sur-Seine, France
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21
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Chen S, Ruan C, Guo Y, Chang J, Yan H, Chen L, Duan Y, Duan G, Bei J, Li X, Gao S. Emergence of crucial evidence catalyzing the origin tracing of SARS-CoV-2. PLoS One 2024; 19:e0309557. [PMID: 39213297 PMCID: PMC11364235 DOI: 10.1371/journal.pone.0309557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Accepted: 08/13/2024] [Indexed: 09/04/2024] Open
Abstract
Since the emergence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), its genetic and geographical origins remain unclear, resulting in suspicions about its natural origin. In one of our previous studies, we reported the presence of a furin cleavage site RRAR in the junction region between S1 and S2 subunits of the spike protein, which was discovered as the first crucial clue for the origin tracing of SARS-CoV-2. In the present study, we conducted an integrative analysis of new genome data from bat Sarbecovirus strains reported after the COVID-19 outbreak. The primary results included the identification of BANAL-20-52, Rp22DB159, and S18CXBatR24 as three close relatives of SARS-CoV-2 and the successful detection of seven out of nine key genomic features (designated as RC0-7 and ORF8) observed in wild types of SARS-CoV-2 in the three close relatives from Laos, Vietnam, and Yunnan province of China, respectively. The most significant contribution of the present study lies in the detection of RC1 in wild genotype in a bat Sarbecovirus population BANAL-20-52 belonging to. Encoding a segment of the NSP3 protein, RC1 was discovered as the second crucial clue for the origin tracing of SARS-CoV-2. Although RC0, encoding the junction furin cleavage site, remains undetected outside of the SARS-CoV-2 genome, Feuang of Laos is the sole place where eight of the nine wild-type features (RC1-7 and ORF8) have been detected.
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Affiliation(s)
- Shunmei Chen
- College of Life Sciences, Nankai University, Tianjin, Tianjin, P.R.China
- Biomedical Engineering Research Institute, Kunming Medical University, Kunming, Yunnan, P.R.China
| | - Cihan Ruan
- Department of Computer Science and Engineering, Santa Clara University, Sant Clara, California, United States of America
| | - Yutong Guo
- College of Life Sciences, Nankai University, Tianjin, Tianjin, P.R.China
| | - Jia Chang
- College of Life Sciences, Nankai University, Tianjin, Tianjin, P.R.China
| | - Haohao Yan
- College of Life Sciences, Nankai University, Tianjin, Tianjin, P.R.China
| | - Liang Chen
- Biomedical Engineering Research Institute, Kunming Medical University, Kunming, Yunnan, P.R.China
| | - Yongzhong Duan
- Biomedical Engineering Research Institute, Kunming Medical University, Kunming, Yunnan, P.R.China
| | - Guangyou Duan
- School of Life Sciences, Qilu Normal University, Jinan, Shandong, P.R.China
| | - Jinlong Bei
- Agro-biological Gene Research Center, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong, P.R.China
| | - Xin Li
- College of Life Sciences, Nankai University, Tianjin, Tianjin, P.R.China
| | - Shan Gao
- College of Life Sciences, Nankai University, Tianjin, Tianjin, P.R.China
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22
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Kreabkhontho P, Teparos W, Theparod T. Potential for eliminating COVID-19 in Thailand through third-dose vaccination: A modeling approach. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2024; 21:6807-6828. [PMID: 39483094 DOI: 10.3934/mbe.2024298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/03/2024]
Abstract
The COVID-19 pandemic continues to pose significant challenges to global public health, necessitating the development of effective vaccination strategies to mitigate disease transmission. In Thailand, the COVID-19 epidemic has undergone multiple waves, prompting the implementation of various control measures, including vaccination campaigns. Understanding the dynamics of disease transmission and the impact of vaccination strategies is crucial for guiding public health interventions and optimizing epidemic control efforts. In this study, we developed a comprehensive mathematical model, termed $ S{S}_{v}I{H}_{1}C{H}_{2}RD $, to elucidate the dynamics of the COVID-19 epidemic in Thailand. The model incorporates key epidemiological parameters, vaccination rates, and disease progression stages to assess the effectiveness of different vaccination strategies in curbing disease transmission. Parameter estimation and model fitting were conducted using real-world data from COVID-19 patients in Thailand, enabling the simulation of epidemic scenarios and the exploration of optimal vaccination rates. Our results showed that optimizing vaccination strategies, particularly by administering approximately 119,625 doses per day, can significantly reduce the basic reproduction number ($ {R}_{0} $) below 1, thereby accelerating epidemic control. Simulation results demonstrated that the optimal vaccination rate led to a substantial decrease in the number of infections, with the epidemic projected to be completely eradicated from the population by June 19, 2022. These findings underscore the importance of targeted vaccination efforts and proactive public health interventions in mitigating the spread of COVID-19 and minimizing the burden on healthcare systems. Our study provides valuable insights into the optimization of vaccination strategies for epidemic control, offering guidance for policymakers and healthcare authorities in Thailand and beyond. By leveraging mathematical modeling techniques and real-world data, stakeholders can develop evidence-based strategies to combat the COVID-19 pandemic and safeguard public health.
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Affiliation(s)
| | - Watchara Teparos
- Department of General Science, Faculty of Science and Engineering, Kasetsart University, Chalermphrakiat Sakon Nakhon Province Campus, Sakon Nakhon 47000, Thailand
| | - Thitiya Theparod
- Department of Mathematics, Mahasarakham University, Maha Sarakham 44150, Thailand
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23
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Nuismer SL, Basinski AJ, Schreiner CL, Eskew EA, Fichet-Calvet E, Remien CH. Quantifying the risk of spillover reduction programs for human health. PLoS Comput Biol 2024; 20:e1012358. [PMID: 39146377 PMCID: PMC11349207 DOI: 10.1371/journal.pcbi.1012358] [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] [Received: 01/30/2024] [Revised: 08/27/2024] [Accepted: 07/22/2024] [Indexed: 08/17/2024] Open
Abstract
Reducing spillover of zoonotic pathogens is an appealing approach to preventing human disease and minimizing the risk of future epidemics and pandemics. Although the immediate human health benefit of reducing spillover is clear, over time, spillover reduction could lead to counterintuitive negative consequences for human health. Here, we use mathematical models and computer simulations to explore the conditions under which unanticipated consequences of spillover reduction can occur in systems where the severity of disease increases with age at infection. Our results demonstrate that, because the average age at infection increases as spillover is reduced, programs that reduce spillover can actually increase population-level disease burden if the clinical severity of infection increases sufficiently rapidly with age. If, however, immunity wanes over time and reinfection is possible, our results reveal that negative health impacts of spillover reduction become substantially less likely. When our model is parameterized using published data on Lassa virus in West Africa, it predicts that negative health outcomes are possible, but likely to be restricted to a small subset of populations where spillover is unusually intense. Together, our results suggest that adverse consequences of spillover reduction programs are unlikely but that the public health gains observed immediately after spillover reduction may fade over time as the age structure of immunity gradually re-equilibrates to a reduced force of infection.
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Affiliation(s)
- Scott L. Nuismer
- Department of Biological Sciences, University of Idaho, Moscow, Idaho, United States of America
| | - Andrew J. Basinski
- Institute for Interdisciplinary Data Sciences, University of Idaho, Moscow, Idaho, United States of America
| | - Courtney L. Schreiner
- Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, Tennessee, United States of America
| | - Evan A. Eskew
- Institute for Interdisciplinary Data Sciences, University of Idaho, Moscow, Idaho, United States of America
| | | | - Christopher H. Remien
- Department of Mathematics and Statistical Science, University of Idaho, Moscow, Idaho, United States of America
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24
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Chen X, Kalyar F, Chughtai AA, MacIntyre CR. Use of a risk assessment tool to determine the origin of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). RISK ANALYSIS : AN OFFICIAL PUBLICATION OF THE SOCIETY FOR RISK ANALYSIS 2024; 44:1896-1906. [PMID: 38488186 DOI: 10.1111/risa.14291] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 12/28/2023] [Indexed: 08/07/2024]
Abstract
The origin of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is contentious. Most studies have focused on a zoonotic origin, but definitive evidence such as an intermediary animal host is lacking. We used an established risk analysis tool for differentiating natural and unnatural epidemics, the modified Grunow-Finke assessment tool (mGFT) to study the origin of SARS-COV-2. The mGFT scores 11 criteria to provide a likelihood of natural or unnatural origin. Using published literature and publicly available sources of information, we applied the mGFT to the origin of SARS-CoV-2. The mGFT scored 41/60 points (68%), with high inter-rater reliability (100%), indicating a greater likelihood of an unnatural than natural origin of SARS-CoV-2. This risk assessment cannot prove the origin of SARS-CoV-2 but shows that the possibility of a laboratory origin cannot be easily dismissed.
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Affiliation(s)
- Xin Chen
- Biosecurity Program, The Kirby Institute, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Fatema Kalyar
- Biosecurity Program, The Kirby Institute, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Abrar Ahmad Chughtai
- School of Population Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Chandini Raina MacIntyre
- Biosecurity Program, The Kirby Institute, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
- College of Public Service & Community Solutions, Arizona State University, Tempe, Arizona, USA
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25
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Wei L, Song L, Dunker AK, Foster JA, Uversky VN, Goh GKM. A Comparative Experimental and Computational Study on the Nature of the Pangolin-CoV and COVID-19 Omicron. Int J Mol Sci 2024; 25:7537. [PMID: 39062780 PMCID: PMC11277539 DOI: 10.3390/ijms25147537] [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: 05/17/2024] [Revised: 06/28/2024] [Accepted: 07/05/2024] [Indexed: 07/28/2024] Open
Abstract
The relationship between pangolin-CoV and SARS-CoV-2 has been a subject of debate. Further evidence of a special relationship between the two viruses can be found by the fact that all known COVID-19 viruses have an abnormally hard outer shell (low M disorder, i.e., low content of intrinsically disordered residues in the membrane (M) protein) that so far has been found in CoVs associated with burrowing animals, such as rabbits and pangolins, in which transmission involves virus remaining in buried feces for a long time. While a hard outer shell is necessary for viral survival, a harder inner shell could also help. For this reason, the N disorder range of pangolin-CoVs, not bat-CoVs, more closely matches that of SARS-CoV-2, especially when Omicron is included. The low N disorder (i.e., low content of intrinsically disordered residues in the nucleocapsid (N) protein), first observed in pangolin-CoV-2017 and later in Omicron, is associated with attenuation according to the Shell-Disorder Model. Our experimental study revealed that pangolin-CoV-2017 and SARS-CoV-2 Omicron (XBB.1.16 subvariant) show similar attenuations with respect to viral growth and plaque formation. Subtle differences have been observed that are consistent with disorder-centric computational analysis.
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Affiliation(s)
- Lai Wei
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100089, China;
| | - Lihua Song
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100089, China;
| | - A. Keith Dunker
- Center for Computational Biology and Bioinformatics, Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202, USA;
| | - James A. Foster
- Department of Biological Sciences, University of Idaho, Moscow, ID 83844, USA;
- Institute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, ID 83844, USA
| | - Vladimir N. Uversky
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA;
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26
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Gallego-García P, Estévez-Gómez N, De Chiara L, Alvariño P, Juiz-González PM, Torres-Beceiro I, Poza M, Vallejo JA, Rumbo-Feal S, Conde-Pérez K, Aja-Macaya P, Ladra S, Moreno-Flores A, Gude-González MJ, Coira A, Aguilera A, Costa-Alcalde JJ, Trastoy R, Barbeito-Castiñeiras G, García-Souto D, Tubio JMC, Trigo-Daporta M, Camacho-Zamora P, Costa JG, González-Domínguez M, Canoura-Fernández L, Glez-Peña D, Pérez-Castro S, Cabrera JJ, Daviña-Núñez C, Godoy-Diz M, Treinta-Álvarez AB, Veiga MI, Sousa JC, Osório NS, Comas I, González-Candelas F, Hong SL, Bollen N, Dellicour S, Baele G, Suchard MA, Lemey P, Agulla A, Bou G, Alonso-García P, Pérez-Del-Molino ML, García-Campello M, Paz-Vidal I, Regueiro B, Posada D. Dispersal history of SARS-CoV-2 in Galicia, Spain. J Med Virol 2024; 96:e29773. [PMID: 38940448 PMCID: PMC11742125 DOI: 10.1002/jmv.29773] [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: 03/25/2024] [Revised: 06/18/2024] [Accepted: 06/19/2024] [Indexed: 06/29/2024]
Abstract
The dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission are influenced by a variety of factors, including social restrictions and the emergence of distinct variants. In this study, we delve into the origins and dissemination of the Alpha, Delta, and Omicron-BA.1 variants of concern in Galicia, northwest Spain. For this, we leveraged genomic data collected by the EPICOVIGAL Consortium and from the GISAID database, along with mobility information from other Spanish regions and foreign countries. Our analysis indicates that initial introductions during the Alpha phase were predominantly from other Spanish regions and France. However, as the pandemic progressed, introductions from Portugal and the United States became increasingly significant. The number of detected introductions varied from 96 and 101 for Alpha and Delta to 39 for Omicron-BA.1. Most of these introductions left a low number of descendants (<10), suggesting a limited impact on the evolution of the pandemic in Galicia. Notably, Galicia's major coastal cities emerged as critical hubs for viral transmission, highlighting their role in sustaining and spreading the virus. This research emphasizes the critical role of regional connectivity in the spread of SARS-CoV-2 and offers essential insights for enhancing public health strategies and surveillance measures.
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Affiliation(s)
- Pilar Gallego-García
- CINBIO, Universidade de Vigo, Vigo, Spain
- Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Vigo, Spain
| | - Nuria Estévez-Gómez
- CINBIO, Universidade de Vigo, Vigo, Spain
- Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Vigo, Spain
| | - Loretta De Chiara
- CINBIO, Universidade de Vigo, Vigo, Spain
- Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Vigo, Spain
- Department of Biochemistry, Genetics, and Immunology, Universidade de Vigo, Vigo, Spain
| | | | - Pedro M Juiz-González
- Servicio de Microbiología del Complejo Hospitalario Universitario de Ferrol, Ferrol, Spain
| | - Isabel Torres-Beceiro
- Servicio de Microbiología del Complejo Hospitalario Universitario de Ferrol, Ferrol, Spain
| | - Margarita Poza
- Microbiology Research Group, Institute of Biomedical Research (INIBIC) - Interdisciplinary Center for Chemistry and Biology (CICA), University of A Coruña (UDC) - CIBER de Enfermedades Infecciosas (CIBERINFEC-ISCIII), Edificio Sur, Hospital Universitario A Coruña, As Xubias, A Coruña, Spain
- Microbiome and Health Group, Faculty of Sciences, University of A Coruña (UDC), A Coruña, Spain
| | - Juan A Vallejo
- Microbiology Research Group, Institute of Biomedical Research (INIBIC) - Interdisciplinary Center for Chemistry and Biology (CICA), University of A Coruña (UDC) - CIBER de Enfermedades Infecciosas (CIBERINFEC-ISCIII), Edificio Sur, Hospital Universitario A Coruña, As Xubias, A Coruña, Spain
| | - Soraya Rumbo-Feal
- Microbiology Research Group, Institute of Biomedical Research (INIBIC) - Interdisciplinary Center for Chemistry and Biology (CICA), University of A Coruña (UDC) - CIBER de Enfermedades Infecciosas (CIBERINFEC-ISCIII), Edificio Sur, Hospital Universitario A Coruña, As Xubias, A Coruña, Spain
| | - Kelly Conde-Pérez
- Microbiology Research Group, Institute of Biomedical Research (INIBIC) - Interdisciplinary Center for Chemistry and Biology (CICA), University of A Coruña (UDC) - CIBER de Enfermedades Infecciosas (CIBERINFEC-ISCIII), Edificio Sur, Hospital Universitario A Coruña, As Xubias, A Coruña, Spain
| | - Pablo Aja-Macaya
- Microbiology Research Group, Institute of Biomedical Research (INIBIC) - Interdisciplinary Center for Chemistry and Biology (CICA), University of A Coruña (UDC) - CIBER de Enfermedades Infecciosas (CIBERINFEC-ISCIII), Edificio Sur, Hospital Universitario A Coruña, As Xubias, A Coruña, Spain
| | - Susana Ladra
- Database Laboratory, Research Center for Information and Communication Technologies (CITIC), University of A Coruña (UDC), A Coruña, Spain
| | | | | | - Amparo Coira
- Department of Microbiology, Complexo Hospitalario Universitario de Santiago de Compostela. SERGAS - Microbiology Research Group, Institute of Biomedical Research (IDIS), Santiago de Compostela, Spain
| | - Antonio Aguilera
- Department of Microbiology, Complexo Hospitalario Universitario de Santiago de Compostela. SERGAS - Microbiology Research Group, Institute of Biomedical Research (IDIS), Santiago de Compostela, Spain
| | - José J Costa-Alcalde
- Department of Microbiology, Complexo Hospitalario Universitario de Santiago de Compostela. SERGAS - Microbiology Research Group, Institute of Biomedical Research (IDIS), Santiago de Compostela, Spain
| | - Rocío Trastoy
- Department of Microbiology, Complexo Hospitalario Universitario de Santiago de Compostela. SERGAS - Microbiology Research Group, Institute of Biomedical Research (IDIS), Santiago de Compostela, Spain
| | - Gema Barbeito-Castiñeiras
- Department of Microbiology, Complexo Hospitalario Universitario de Santiago de Compostela. SERGAS - Microbiology Research Group, Institute of Biomedical Research (IDIS), Santiago de Compostela, Spain
| | - Daniel García-Souto
- CiMUS, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
| | - José M C Tubio
- CiMUS, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
- Department of Zoology, Genetics and Physic Anthropology, Santiago de Compostela, Spain
| | - Matilde Trigo-Daporta
- Clinical Microbiology Unit, Complexo Hospitalario Universitario de Pontevedra, Pontevedra, Spain
| | - Pablo Camacho-Zamora
- Clinical Microbiology Unit, Complexo Hospitalario Universitario de Pontevedra, Pontevedra, Spain
| | - Juan García Costa
- Servicio de Microbiología, Complejo Hospitalario Universitario de Ourense, Ourense, Spain
| | | | - Luis Canoura-Fernández
- Servicio de Microbiología, Complejo Hospitalario Universitario de Ourense, Ourense, Spain
| | - Daniel Glez-Peña
- CINBIO, Universidade de Vigo, Vigo, Spain
- Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Vigo, Spain
| | - Sonia Pérez-Castro
- Department of Microbiology, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain
- Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Vigo, Spain
| | - Jorge J Cabrera
- Department of Microbiology, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain
- Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Vigo, Spain
| | - Carlos Daviña-Núñez
- Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Vigo, Spain
| | - Montserrat Godoy-Diz
- Department of Microbiology, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain
| | - Ana Belén Treinta-Álvarez
- Department of Microbiology, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain
| | - Maria Isabel Veiga
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
- ICVS/3B's-PT Government Associate Laboratory, Guimarães, Portugal
| | - João Carlos Sousa
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
- ICVS/3B's-PT Government Associate Laboratory, Guimarães, Portugal
| | - Nuno S Osório
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
- ICVS/3B's-PT Government Associate Laboratory, Guimarães, Portugal
| | - Iñaki Comas
- Tuberculosis Genomics Unit, BioMedicine Institute of Valencia, Spanish Research Council (CSIC), Valencia, Spain
- CIBER in Epidemiology and Public Health, Madrid, Spain
- Joint Research Unit "Infection and Public Health", FISABIO-University of Valencia, Valencia, Spain
| | - Fernando González-Candelas
- CIBER in Epidemiology and Public Health, Madrid, Spain
- Joint Research Unit "Infection and Public Health", FISABIO-University of Valencia, Valencia, Spain
- Institute for Integrative Systems Biology (I2SysBio), University of Valencia-CSIC, Valencia, Spain
| | - Samuel L Hong
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory of Clinical and Epidemiological Virology, KU Leuven, University of Leuven, Leuven, Belgium
| | - Nena Bollen
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory of Clinical and Epidemiological Virology, KU Leuven, University of Leuven, Leuven, Belgium
| | - Simon Dellicour
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory of Clinical and Epidemiological Virology, KU Leuven, University of Leuven, Leuven, Belgium
- Spatial Epidemiology Lab, Université Libre de Bruxelles, Brussels, Belgium
| | - Guy Baele
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory of Clinical and Epidemiological Virology, KU Leuven, University of Leuven, Leuven, Belgium
| | - Marc A Suchard
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, California, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
- Department of Computational Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Philippe Lemey
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory of Clinical and Epidemiological Virology, KU Leuven, University of Leuven, Leuven, Belgium
- Global Virus Network (GVN), Baltimore, Maryland, USA
| | - Andrés Agulla
- Servicio de Microbiología del Complejo Hospitalario Universitario de Ferrol, Ferrol, Spain
| | - Germán Bou
- Microbiology Research Group, Institute of Biomedical Research (INIBIC) - Interdisciplinary Center for Chemistry and Biology (CICA), University of A Coruña (UDC) - CIBER de Enfermedades Infecciosas (CIBERINFEC-ISCIII), Edificio Sur, Hospital Universitario A Coruña, As Xubias, A Coruña, Spain
| | - Pilar Alonso-García
- Servicio de Microbiología, Hospital Universitario Lucus Augusti, Lugo, Spain
| | - María Luisa Pérez-Del-Molino
- Department of Microbiology, Complexo Hospitalario Universitario de Santiago de Compostela. SERGAS - Microbiology Research Group, Institute of Biomedical Research (IDIS), Santiago de Compostela, Spain
| | - Marta García-Campello
- Clinical Microbiology Unit, Complexo Hospitalario Universitario de Pontevedra, Pontevedra, Spain
| | - Isabel Paz-Vidal
- Servicio de Microbiología, Complejo Hospitalario Universitario de Ourense, Ourense, Spain
| | - Benito Regueiro
- Department of Microbiology, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain
- Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Vigo, Spain
| | - David Posada
- CINBIO, Universidade de Vigo, Vigo, Spain
- Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Vigo, Spain
- Department of Biochemistry, Genetics, and Immunology, Universidade de Vigo, Vigo, Spain
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Liu WJ, Liu P, Lei W, Jia Z, He X, Shi W, Tan Y, Zou S, Wong G, Wang J, Wang F, Wang G, Qin K, Gao R, Zhang J, Li M, Xiao W, Guo Y, Xu Z, Zhao Y, Song J, Zhang J, Zhen W, Zhou W, Ye B, Song J, Yang M, Zhou W, Dai Y, Lu G, Bi Y, Tan W, Han J, Gao GF, Wu G. Surveillance of SARS-CoV-2 at the Huanan Seafood Market. Nature 2024; 631:402-408. [PMID: 37019149 DOI: 10.1038/s41586-023-06043-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 04/03/2023] [Indexed: 04/07/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of coronavirus disease 2019, emerged in December 2019. Its origins remain uncertain. It has been reported that a number of the early human cases of coronavirus disease 2019 had a history of contact with the Huanan Seafood Market. Here we present the results of surveillance for SARS-CoV-2 within the market. From 1 January 2020, after closure of the market, 923 samples were collected from the environment. From 18 January, 457 samples were collected from 18 species of animal, comprising unsold contents of refrigerators and freezers, swabs from stray animals and the contents of a fish tank. Using quantitative real-time polymerase chain reaction (RT-qPCR) and high-throughput sequencing (Bowtie2 analysis), SARS-CoV-2 was detected in 74 (70 RT-qPCR and 4 Bowtie2) environmental samples, but none of the animal samples. Three live viruses were successfully isolated. The viruses from the market shared a nucleotide identity of 99.99% to 100% with the human isolate HCoV-19/Wuhan/IVDC-HB-01/2019. SARS-CoV-2 lineage A (8782T and 28144C) was found in an environmental sample. RNA-sequencing analysis of SARS-CoV-2-positive and SARS-CoV-2-negative environmental samples showed an abundance of different vertebrate genera at the market. In summary, this study provides information about the distribution and prevalence of SARS-CoV-2 in the Huanan Seafood Market during the early stages of the outbreak of coronavirus disease 2019.
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Affiliation(s)
- William J Liu
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China.
| | - Peipei Liu
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Wenwen Lei
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Zhiyuan Jia
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Xiaozhou He
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Weifeng Shi
- Key Laboratory of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University, and Shandong Academy of Medical Sciences, Tai'an, China
| | - Yun Tan
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai, China
| | - Shumei Zou
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Gary Wong
- CAS Key Laboratory of Molecular Virology & Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences (CAS), Shanghai, China
| | - Ji Wang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Feng Wang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Gang Wang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Kun Qin
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Rongbao Gao
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Jie Zhang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Min Li
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Wenling Xiao
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
| | - Yuanyuan Guo
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Ziqian Xu
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Yingze Zhao
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Jingdong Song
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Jing Zhang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Wei Zhen
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Wenting Zhou
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Beiwei Ye
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Juan Song
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Mengjie Yang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Weimin Zhou
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Yuting Dai
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai, China
| | - Gang Lu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai, China
| | - Yuhai Bi
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
| | - Wenjie Tan
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Jun Han
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - George F Gao
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China.
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China.
| | - Guizhen Wu
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China.
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Baba A, Yamada K, Kanekura T. Cutaneous adverse events following COVID-19 vaccination: A case series of 30 Japanese patients and a review of 93 Japanese studies. J Dermatol 2024; 51:827-838. [PMID: 38605482 DOI: 10.1111/1346-8138.17188] [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: 12/14/2023] [Revised: 02/19/2024] [Accepted: 02/21/2024] [Indexed: 04/13/2024]
Abstract
In Japan, cutaneous adverse events (AEs) following the coronavirus disease 2019 (COVID-19) vaccination have been frequently described; however, a larger case series and literature review are lacking. There is an urgent need for an extensive investigation of new cases and previous reports to provide a thorough body of information about post-COVID-19 immunization cutaneous AEs. We aimed to analyze patients with cutaneous AEs after COVID-19 vaccination in our hospital and review previous studies of cutaneous AEs. We analyzed post-COVID-19 vaccination cutaneous AEs in our department, the Japanese Registry, and previous literature. We enrolled 30 patients with cutaneous post-vaccination AEs in our department over 2 years (April 1, 2021, to March 31, 2023). We also confirmed cases registered in the Ministry of Health, Labor, and Welfare COVID-19 vaccine side effect reporting system (February 17, 2021-March 12, 2023). A total of 587 records were retrieved and 93 articles were included for data extraction. A total of 28 non-injection-site cutaneous AEs and two injection-site AEs were identified. Six (20.0%) patients developed new-onset erythematous eruptions, and five (16.7%) patients developed urticaria. Pruritic eruption, eczema, shingles, and sweating symptoms have also been reported. In previous studies on non-injection-site cutaneous AEs, individuals who received the BNT162b2 vaccine were older than those who received mRNA-1273 (P < 0.01). Cutaneous AEs were mostly nonsignificant and self-limiting reactions; however, rare, severe, or life-threatening AEs were also reported. Physicians should be aware of the various possible cutaneous AEs associated with the COVID-19 vaccination.
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Affiliation(s)
- Atsunori Baba
- Department of Dermatology, Kagoshima City Hospital, Kagoshima, Japan
| | - Kiyoko Yamada
- Department of Dermatology, Kagoshima City Hospital, Kagoshima, Japan
| | - Takuro Kanekura
- Department of Dermatology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
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29
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Galindo-González J. Avoiding novel, unwanted interactions among species to decrease risk of zoonoses. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2024; 38:e14232. [PMID: 38111356 DOI: 10.1111/cobi.14232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 10/15/2023] [Accepted: 10/16/2023] [Indexed: 12/20/2023]
Abstract
Circumstances that precipitate interactions among species that have never interacted during their evolutionary histories create ideal conditions for the generation of zoonoses. Zoonotic diseases have caused some of the most devastating epidemics in human history. Contact among species that come from different ecosystems or regions creates the risk of zoonoses. In certain situations, humans are generating and promoting conditions that contribute to the creation of infectious diseases and zoonoses. These conditions lead to interactions between wildlife species that have hitherto not interacted under normal circumstances. I call for recognition of the zoonotic potential that novel and unwanted interactions have; identification of these new interactions that are occurring among wild animals, domestic animals, and humans; and efforts to stop these kinds of interactions because they can give rise to zoonotic outbreaks. Live animal markets, the exotic pet trade, illegal wildlife trade, human use and consumption of wild animals, invasive non-native species, releasing of exotic pets, and human encroachment in natural areas are among the activities that cause the most interactions among wild species, domestic species, and humans. These activities should not occur and must be controlled efficiently to prevent future epidemic zoonoses. Society must develop a keen ability to identify these unnatural interactions and prevent them. Controlling these interactions and efficiently addressing their causal factors will benefit human health and, in some cases, lead to positive environmental, ethical, and socioeconomic outcomes. Until these actions are taken, humanity will face future zoonoses and zoonotic pandemic.
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Affiliation(s)
- Jorge Galindo-González
- Instituto de Biotecnología y Ecología Aplicada (INBIOTECA), Universidad Veracruzana, Xalapa, México
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30
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Hoenigsperger H, Sivarajan R, Sparrer KM. Differences and similarities between innate immune evasion strategies of human coronaviruses. Curr Opin Microbiol 2024; 79:102466. [PMID: 38555743 DOI: 10.1016/j.mib.2024.102466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 02/20/2024] [Accepted: 03/12/2024] [Indexed: 04/02/2024]
Abstract
So far, seven coronaviruses have emerged in humans. Four recurring endemic coronaviruses cause mild respiratory symptoms. Infections with epidemic Middle East respiratory syndrome-related coronavirus or severe acute respiratory syndrome coronavirus (SARS-CoV)-1 are associated with high mortality rates. SARS-CoV-2 is the causative agent of the coronavirus disease 2019 pandemic. To establish an infection, coronaviruses evade restriction by human innate immune defenses, such as the interferon system, autophagy and the inflammasome. Here, we review similar and distinct innate immune manipulation strategies employed by the seven human coronaviruses. We further discuss the impact on pathogenesis, zoonotic emergence and adaptation. Understanding the nature of the interplay between endemic/epidemic/pandemic coronaviruses and host defenses may help to better assess the pandemic potential of emerging coronaviruses.
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Affiliation(s)
- Helene Hoenigsperger
- Institute of Molecular Virology, Ulm University Medical Center, 89081 Ulm, Germany
| | - Rinu Sivarajan
- Institute of Molecular Virology, Ulm University Medical Center, 89081 Ulm, Germany
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31
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Lobaina Y, Chen R, Suzarte E, Ai P, Musacchio A, Lan Y, Chinea G, Tan C, Silva R, Guillen G, Yang K, Li W, Perera Y, Hermida L. A Nasal Vaccine Candidate, Containing Three Antigenic Regions from SARS-CoV-2, to Induce a Broader Response. Vaccines (Basel) 2024; 12:588. [PMID: 38932317 PMCID: PMC11209543 DOI: 10.3390/vaccines12060588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Revised: 05/24/2024] [Accepted: 05/25/2024] [Indexed: 06/28/2024] Open
Abstract
A chimeric protein, formed by two fragments of the conserved nucleocapsid (N) and S2 proteins from SARS-CoV-2, was obtained as a recombinant construct in Escherichia coli. The N fragment belongs to the C-terminal domain whereas the S2 fragment spans the fibre structure in the post-fusion conformation of the spike protein. The resultant protein, named S2NDH, was able to form spherical particles of 10 nm, which forms aggregates upon mixture with the CpG ODN-39M. Both preparations were recognized by positive COVID-19 human sera. The S2NDH + ODN-39M formulation administered by the intranasal route resulted highly immunogenic in Balb/c mice. It induced cross-reactive anti-N humoral immunity in both sera and bronchoalveolar fluids, under a Th1 pattern. The cell-mediated immunity (CMI) was also broad, with positive response even against the N protein of SARS-CoV-1. However, neither neutralizing antibodies (NAb) nor CMI against the S2 region were obtained. As alternative, the RBD protein was included in the formulation as inducer of NAb. Upon evaluation in mice by the intranasal route, a clear adjuvant effect was detected for the S2NDH + ODN-39M preparation over RBD. High levels of NAb were induced against SARS-CoV-2 and SARS-CoV-1. The bivalent formulation S2NDH + ODN-39M + RBD, administered by the intranasal route, constitutes an attractive proposal as booster vaccine of sarbecovirus scope.
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Affiliation(s)
- Yadira Lobaina
- Research Department, China-Cuba Biotechnology Joint Innovation Center (CCBJIC), Lengshuitan District, Yongzhou 425000, China; (Y.L.); (R.C.); (P.A.); (A.M.); (Y.L.); (C.T.); (K.Y.); (W.L.)
- R&D Department, Yongzhou Zhong Gu Biotechnology Co., Ltd., Yangjiaqiao Street, Lengshuitan District, Yongzhou 425000, China
| | - Rong Chen
- Research Department, China-Cuba Biotechnology Joint Innovation Center (CCBJIC), Lengshuitan District, Yongzhou 425000, China; (Y.L.); (R.C.); (P.A.); (A.M.); (Y.L.); (C.T.); (K.Y.); (W.L.)
- Yongzhou Development and Construction Investment Co., Ltd. (YDCI), Changfeng Industry Park, Yongzhou Economic and Technological Development Zone, No. 1 Liebao Road, Lengshuitan District, Yongzhou 425000, China
| | - Edith Suzarte
- Research Department, Center for Genetic Engineering and Biotechnology, Havana 10600, Cuba; (E.S.); (G.C.); (G.G.)
| | - Panchao Ai
- Research Department, China-Cuba Biotechnology Joint Innovation Center (CCBJIC), Lengshuitan District, Yongzhou 425000, China; (Y.L.); (R.C.); (P.A.); (A.M.); (Y.L.); (C.T.); (K.Y.); (W.L.)
- Yongzhou Development and Construction Investment Co., Ltd. (YDCI), Changfeng Industry Park, Yongzhou Economic and Technological Development Zone, No. 1 Liebao Road, Lengshuitan District, Yongzhou 425000, China
| | - Alexis Musacchio
- Research Department, China-Cuba Biotechnology Joint Innovation Center (CCBJIC), Lengshuitan District, Yongzhou 425000, China; (Y.L.); (R.C.); (P.A.); (A.M.); (Y.L.); (C.T.); (K.Y.); (W.L.)
- R&D Department, Yongzhou Zhong Gu Biotechnology Co., Ltd., Yangjiaqiao Street, Lengshuitan District, Yongzhou 425000, China
- Research Department, Center for Genetic Engineering and Biotechnology, Havana 10600, Cuba; (E.S.); (G.C.); (G.G.)
| | - Yaqin Lan
- Research Department, China-Cuba Biotechnology Joint Innovation Center (CCBJIC), Lengshuitan District, Yongzhou 425000, China; (Y.L.); (R.C.); (P.A.); (A.M.); (Y.L.); (C.T.); (K.Y.); (W.L.)
- Yongzhou Development and Construction Investment Co., Ltd. (YDCI), Changfeng Industry Park, Yongzhou Economic and Technological Development Zone, No. 1 Liebao Road, Lengshuitan District, Yongzhou 425000, China
| | - Glay Chinea
- Research Department, Center for Genetic Engineering and Biotechnology, Havana 10600, Cuba; (E.S.); (G.C.); (G.G.)
| | - Changyuan Tan
- Research Department, China-Cuba Biotechnology Joint Innovation Center (CCBJIC), Lengshuitan District, Yongzhou 425000, China; (Y.L.); (R.C.); (P.A.); (A.M.); (Y.L.); (C.T.); (K.Y.); (W.L.)
- Yongzhou Development and Construction Investment Co., Ltd. (YDCI), Changfeng Industry Park, Yongzhou Economic and Technological Development Zone, No. 1 Liebao Road, Lengshuitan District, Yongzhou 425000, China
| | - Ricardo Silva
- Science and Innovation Directorate, BioCubaFarma, Independence Avenue, No. 8126, Corner 100 Street, Havana 10800, Cuba;
| | - Gerardo Guillen
- Research Department, Center for Genetic Engineering and Biotechnology, Havana 10600, Cuba; (E.S.); (G.C.); (G.G.)
| | - Ke Yang
- Research Department, China-Cuba Biotechnology Joint Innovation Center (CCBJIC), Lengshuitan District, Yongzhou 425000, China; (Y.L.); (R.C.); (P.A.); (A.M.); (Y.L.); (C.T.); (K.Y.); (W.L.)
- Yongzhou Development and Construction Investment Co., Ltd. (YDCI), Changfeng Industry Park, Yongzhou Economic and Technological Development Zone, No. 1 Liebao Road, Lengshuitan District, Yongzhou 425000, China
| | - Wen Li
- Research Department, China-Cuba Biotechnology Joint Innovation Center (CCBJIC), Lengshuitan District, Yongzhou 425000, China; (Y.L.); (R.C.); (P.A.); (A.M.); (Y.L.); (C.T.); (K.Y.); (W.L.)
- Yongzhou Development and Construction Investment Co., Ltd. (YDCI), Changfeng Industry Park, Yongzhou Economic and Technological Development Zone, No. 1 Liebao Road, Lengshuitan District, Yongzhou 425000, China
| | - Yasser Perera
- Research Department, China-Cuba Biotechnology Joint Innovation Center (CCBJIC), Lengshuitan District, Yongzhou 425000, China; (Y.L.); (R.C.); (P.A.); (A.M.); (Y.L.); (C.T.); (K.Y.); (W.L.)
- R&D Department, Yongzhou Zhong Gu Biotechnology Co., Ltd., Yangjiaqiao Street, Lengshuitan District, Yongzhou 425000, China
- Research Department, Center for Genetic Engineering and Biotechnology, Havana 10600, Cuba; (E.S.); (G.C.); (G.G.)
| | - Lisset Hermida
- Research Department, China-Cuba Biotechnology Joint Innovation Center (CCBJIC), Lengshuitan District, Yongzhou 425000, China; (Y.L.); (R.C.); (P.A.); (A.M.); (Y.L.); (C.T.); (K.Y.); (W.L.)
- R&D Department, Yongzhou Zhong Gu Biotechnology Co., Ltd., Yangjiaqiao Street, Lengshuitan District, Yongzhou 425000, China
- Yongzhou Development and Construction Investment Co., Ltd. (YDCI), Changfeng Industry Park, Yongzhou Economic and Technological Development Zone, No. 1 Liebao Road, Lengshuitan District, Yongzhou 425000, China
- Science and Innovation Directorate, BioCubaFarma, Independence Avenue, No. 8126, Corner 100 Street, Havana 10800, Cuba;
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32
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Hills FR, Eruera AR, Hodgkinson-Bean J, Jorge F, Easingwood R, Brown SHJ, Bouwer JC, Li YP, Burga LN, Bostina M. Variation in structural motifs within SARS-related coronavirus spike proteins. PLoS Pathog 2024; 20:e1012158. [PMID: 38805567 PMCID: PMC11236199 DOI: 10.1371/journal.ppat.1012158] [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] [Received: 02/05/2024] [Revised: 07/10/2024] [Accepted: 03/28/2024] [Indexed: 05/30/2024] Open
Abstract
SARS-CoV-2 is the third known coronavirus (CoV) that has crossed the animal-human barrier in the last two decades. However, little structural information exists related to the close genetic species within the SARS-related coronaviruses. Here, we present three novel SARS-related CoV spike protein structures solved by single particle cryo-electron microscopy analysis derived from bat (bat SL-CoV WIV1) and civet (cCoV-SZ3, cCoV-007) hosts. We report complex glycan trees that decorate the glycoproteins and density for water molecules which facilitated modeling of the water molecule coordination networks within structurally important regions. We note structural conservation of the fatty acid binding pocket and presence of a linoleic acid molecule which are associated with stabilization of the receptor binding domains in the "down" conformation. Additionally, the N-terminal biliverdin binding pocket is occupied by a density in all the structures. Finally, we analyzed structural differences in a loop of the receptor binding motif between coronaviruses known to infect humans and the animal coronaviruses described in this study, which regulate binding to the human angiotensin converting enzyme 2 receptor. This study offers a structural framework to evaluate the close relatives of SARS-CoV-2, the ability to inform pandemic prevention, and aid in the development of pan-neutralizing treatments.
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Affiliation(s)
- Francesca R. Hills
- Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand
| | - Alice-Roza Eruera
- Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand
| | - James Hodgkinson-Bean
- Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand
| | - Fátima Jorge
- Otago Microscopy and Nano Imaging Unit, University of Otago, Dunedin, New Zealand
| | - Richard Easingwood
- Otago Microscopy and Nano Imaging Unit, University of Otago, Dunedin, New Zealand
| | - Simon H. J. Brown
- ARC Centre for Cryo-electron Microscopy of Membrane Proteins, University of Wollongong, Wollongong, New South Wales, Australia
| | - James C. Bouwer
- ARC Centre for Cryo-electron Microscopy of Membrane Proteins, University of Wollongong, Wollongong, New South Wales, Australia
| | - Yi-Ping Li
- Institute of Human Virology and Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Laura N. Burga
- Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand
| | - Mihnea Bostina
- Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand
- Otago Microscopy and Nano Imaging Unit, University of Otago, Dunedin, New Zealand
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Hsueh FC, Shi K, Mendoza A, Bu F, Zhang W, Aihara H, Li F. Structural basis for raccoon dog receptor recognition by SARS-CoV-2. PLoS Pathog 2024; 20:e1012204. [PMID: 38709834 PMCID: PMC11098500 DOI: 10.1371/journal.ppat.1012204] [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] [Received: 02/07/2024] [Revised: 05/16/2024] [Accepted: 04/17/2024] [Indexed: 05/08/2024] Open
Abstract
Since the COVID-19 outbreak, raccoon dogs have been suggested as a potential intermediary in transmitting SARS-CoV-2 to humans. To understand their role in the COVID-19 pandemic and the species barrier for SARS-CoV-2 transmission to humans, we analyzed how their ACE2 protein interacts with SARS-CoV-2 spike protein. Biochemical data showed that raccoon dog ACE2 is an effective receptor for SARS-CoV-2 spike protein, though not as effective as human ACE2. Structural comparisons highlighted differences in the virus-binding residues of raccoon dog ACE2 compared to human ACE2 (L24Q, Y34H, E38D, T82M, R353K), explaining their varied effectiveness as receptors for SARS-CoV-2. These variations contribute to the species barrier that exists between raccoon dogs and humans regarding SARS-CoV-2 transmission. Identifying these barriers can help assess the susceptibility of other mammals to SARS-CoV-2. Our research underscores the potential of raccoon dogs as SARS-CoV-2 carriers and identifies molecular barriers that affect the virus's ability to jump between species.
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Affiliation(s)
- Fu-Chun Hsueh
- Department of Pharmacology, University of Minnesota Medical School, Minneapolis, Minnesota, United States of America
- Center for Emerging Viruses, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Ke Shi
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Alise Mendoza
- Department of Pharmacology, University of Minnesota Medical School, Minneapolis, Minnesota, United States of America
- Center for Emerging Viruses, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Fan Bu
- Department of Pharmacology, University of Minnesota Medical School, Minneapolis, Minnesota, United States of America
- Center for Emerging Viruses, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Wei Zhang
- Department of Pharmacology, University of Minnesota Medical School, Minneapolis, Minnesota, United States of America
- Center for Emerging Viruses, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Hideki Aihara
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Fang Li
- Department of Pharmacology, University of Minnesota Medical School, Minneapolis, Minnesota, United States of America
- Center for Emerging Viruses, University of Minnesota, Minneapolis, Minnesota, United States of America
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Rasmussen AL, Gronvall G, Lowen AC, Goodrum F. Reply to Ebright et al., "Implementing governmental oversight of enhanced potential pandemic pathogen research". J Virol 2024; 98:e0025624. [PMID: 38477587 PMCID: PMC11019956 DOI: 10.1128/jvi.00256-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2024] Open
Affiliation(s)
- Angela L. Rasmussen
- Vaccine and Infectious Disease Organization, University of Saskatchewan, Saskatoon, Canada
| | - Gigi Gronvall
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Anice C. Lowen
- Department of Microbiology and Immunology, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Felicia Goodrum
- Department of Immunobiology, BIO5 Institute, University of Arizona, Tucson, Arizona, USA
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Seekings AH, Shipley R, Byrne AMP, Shukla S, Golding M, Amaya-Cuesta J, Goharriz H, Vitores AG, Lean FZX, James J, Núñez A, Breed A, Frost A, Balzer J, Brown IH, Brookes SM, McElhinney LM. Detection of SARS-CoV-2 Delta Variant (B.1.617.2) in Domestic Dogs and Zoo Tigers in England and Jersey during 2021. Viruses 2024; 16:617. [PMID: 38675958 PMCID: PMC11053977 DOI: 10.3390/v16040617] [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: 03/01/2024] [Revised: 04/02/2024] [Accepted: 04/12/2024] [Indexed: 04/28/2024] Open
Abstract
Reverse zoonotic transmission events of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been described since the start of the pandemic, and the World Organisation for Animal Health (WOAH) designated the detection of SARS-CoV-2 in animals a reportable disease. Eighteen domestic and zoo animals in Great Britain and Jersey were tested by APHA for SARS-CoV-2 during 2020-2023. One domestic cat (Felis catus), three domestic dogs (Canis lupus familiaris), and three Amur tigers (Panthera tigris altaica) from a zoo were confirmed positive during 2020-2021 and reported to the WOAH. All seven positive animals were linked with known SARS-CoV-2 positive human contacts. Characterisation of the SARS-CoV-2 variants by genome sequencing indicated that the cat was infected with an early SARS-CoV-2 lineage. The three dogs and three tigers were infected with the SARS-CoV-2 Delta variant of concern (B.1.617.2). The role of non-human species in the onward transmission and emergence of new variants of SARS-CoV-2 remain poorly defined. Continued surveillance of SARS-CoV-2 in relevant domestic and captive animal species with high levels of human contact is important to monitor transmission at the human-animal interface and to assess their role as potential animal reservoirs.
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Affiliation(s)
- Amanda H. Seekings
- Department of Virology, Animal and Plant Health Agency-Weybridge, Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB, UK
- National Reference Laboratory for SARS-CoV-2 in Animals, Animal and Plant Health Agency-Weybridge, Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB, UK
| | - Rebecca Shipley
- Department of Virology, Animal and Plant Health Agency-Weybridge, Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB, UK
- National Reference Laboratory for SARS-CoV-2 in Animals, Animal and Plant Health Agency-Weybridge, Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB, UK
| | - Alexander M. P. Byrne
- Department of Virology, Animal and Plant Health Agency-Weybridge, Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB, UK
- Worldwide Influenza Centre, The Francis Crick Institute, Midland Road, London NW1 1AT, UK
| | - Shweta Shukla
- Department of Virology, Animal and Plant Health Agency-Weybridge, Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB, UK
- National Reference Laboratory for SARS-CoV-2 in Animals, Animal and Plant Health Agency-Weybridge, Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB, UK
| | - Megan Golding
- Department of Virology, Animal and Plant Health Agency-Weybridge, Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB, UK
| | - Joan Amaya-Cuesta
- Department of Virology, Animal and Plant Health Agency-Weybridge, Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB, UK
| | - Hooman Goharriz
- Department of Virology, Animal and Plant Health Agency-Weybridge, Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB, UK
- National Reference Laboratory for SARS-CoV-2 in Animals, Animal and Plant Health Agency-Weybridge, Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB, UK
| | - Ana Gómez Vitores
- Department of Pathology and Animal Sciences, Animal and Plant Health Agency-Weybridge, Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB, UK
| | - Fabian Z. X. Lean
- Department of Pathology and Animal Sciences, Animal and Plant Health Agency-Weybridge, Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB, UK
| | - Joe James
- Department of Virology, Animal and Plant Health Agency-Weybridge, Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB, UK
| | - Alejandro Núñez
- Department of Pathology and Animal Sciences, Animal and Plant Health Agency-Weybridge, Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB, UK
| | - Alistair Breed
- Government of Jersey, Infrastructure Housing and Environment, Howard Davis Farm, La Route de la Trinité, Trinity, Jersey JE3 5JP, UK
| | - Andrew Frost
- One Health, Animal Health and Welfare Advice Team, Animal and Plant Health Agency, Nobel House, 17 Smith Square, London SW1P 3JR, UK
| | - Jörg Balzer
- Vet Med Labor GmbH, Division of IDEXX Laboratories, Humboldtstraße 2, 70806 Kornwestheim, Germany
| | - Ian H. Brown
- Department of Virology, Animal and Plant Health Agency-Weybridge, Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB, UK
| | - Sharon M. Brookes
- Department of Virology, Animal and Plant Health Agency-Weybridge, Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB, UK
| | - Lorraine M. McElhinney
- Department of Virology, Animal and Plant Health Agency-Weybridge, Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB, UK
- National Reference Laboratory for SARS-CoV-2 in Animals, Animal and Plant Health Agency-Weybridge, Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB, UK
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Kozlov M. US COVID-origins hearing puts scientific journals in the hot seat. Nature 2024:10.1038/d41586-024-01129-x. [PMID: 38627490 DOI: 10.1038/d41586-024-01129-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/20/2024]
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Samson S, Lord É, Makarenkov V. Assessing the emergence time of SARS-CoV-2 zoonotic spillover. PLoS One 2024; 19:e0301195. [PMID: 38574109 PMCID: PMC10994396 DOI: 10.1371/journal.pone.0301195] [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] [Received: 11/09/2023] [Accepted: 03/12/2024] [Indexed: 04/06/2024] Open
Abstract
Understanding the evolution of Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV-2) and its relationship to other coronaviruses in the wild is crucial for preventing future virus outbreaks. While the origin of the SARS-CoV-2 pandemic remains uncertain, mounting evidence suggests the direct involvement of the bat and pangolin coronaviruses in the evolution of the SARS-CoV-2 genome. To unravel the early days of a probable zoonotic spillover event, we analyzed genomic data from various coronavirus strains from both human and wild hosts. Bayesian phylogenetic analysis was performed using multiple datasets, using strict and relaxed clock evolutionary models to estimate the occurrence times of key speciation, gene transfer, and recombination events affecting the evolution of SARS-CoV-2 and its closest relatives. We found strong evidence supporting the presence of temporal structure in datasets containing SARS-CoV-2 variants, enabling us to estimate the time of SARS-CoV-2 zoonotic spillover between August and early October 2019. In contrast, datasets without SARS-CoV-2 variants provided mixed results in terms of temporal structure. However, they allowed us to establish that the presence of a statistically robust clade in the phylogenies of gene S and its receptor-binding (RBD) domain, including two bat (BANAL) and two Guangdong pangolin coronaviruses (CoVs), is due to the horizontal gene transfer of this gene from the bat CoV to the pangolin CoV that occurred in the middle of 2018. Importantly, this clade is closely located to SARS-CoV-2 in both phylogenies. This phylogenetic proximity had been explained by an RBD gene transfer from the Guangdong pangolin CoV to a very recent ancestor of SARS-CoV-2 in some earlier works in the field before the BANAL coronaviruses were discovered. Overall, our study provides valuable insights into the timeline and evolutionary dynamics of the SARS-CoV-2 pandemic.
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Affiliation(s)
- Stéphane Samson
- Department of Computer Sciences, Université du Québec à Montréal, Montréal, Canada
- Saint-Jean-sur-Richelieu Research and Development Centre, Agriculture and Agri-Food Canada, Saint-Jean-sur-Richelieu, Québec, Canada
| | - Étienne Lord
- Saint-Jean-sur-Richelieu Research and Development Centre, Agriculture and Agri-Food Canada, Saint-Jean-sur-Richelieu, Québec, Canada
| | - Vladimir Makarenkov
- Department of Computer Sciences, Université du Québec à Montréal, Montréal, Canada
- Mila—Quebec AI Institute, Montreal, QC, Canada
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Tran T, Xie S. Mitigating Wildlife Spillover in the Clinical Setting: How Physicians and Veterinarians Can Help Prevent Future Disease Outbreaks. AJPM FOCUS 2024; 3:100193. [PMID: 38379958 PMCID: PMC10876620 DOI: 10.1016/j.focus.2024.100193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Abstract
Introduction The transmission of pathogens from wildlife to humans is a major global health threat that has been highlighted by the proposed origins of the COVID-19 pandemic. Numerous barriers impede pathogen spillover events from ensuing widespread human transmission, but human activity has accelerated the frequency of spillovers and subsequent disease outbreaks, in part through a booming wildlife trade whose impacts on health are not well understood. Methods A literature review was conducted to examine the risk that the wildlife trade poses to public health and the degree to which these risks are recognized and addressed in clinical practice and medical and veterinary education. Results The illicit aspects of the wildlife trade challenge efforts to understand its impacts on health. The U.S. and Europe play a leading role in the global wildlife trade that often goes unacknowledged. In particular, the consumption of wild meat and ownership of exotic pets poses public health risks. The potential role of clinicians is underutilized, both in the clinical setting and in clinical education. Discussion Physicians and veterinarians have the unique opportunity to utilize their clinical roles to address these knowledge gaps and mitigate future outbreaks. We outline a multifaceted approach that includes increasing clinical knowledge about the ecology of zoonotic diseases, leveraging opportunities for mitigation during patient/client-clinician interactions, and incorporating One Health core competencies into medical and veterinary school curricula.
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Affiliation(s)
- Tam Tran
- Department of Biology, Penn Arts & Sciences, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Sherrie Xie
- Department of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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Sanz-Muñoz I, Eiros JM, Hernández M. [Importance of National Influenza Centers in the surveillance of highly pathogenic avian viruses. The time for One-Health is now]. REVISTA ESPANOLA DE QUIMIOTERAPIA : PUBLICACION OFICIAL DE LA SOCIEDAD ESPANOLA DE QUIMIOTERAPIA 2024; 37:121-126. [PMID: 38205559 PMCID: PMC10945097 DOI: 10.37201/req/137.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 12/11/2023] [Accepted: 12/19/2023] [Indexed: 01/12/2024]
Abstract
Since 1996, the highly pathogenic avian influenza subtype A(H5N1) has been causing almost uninterrupted outbreaks in wild and domestic birds, as well as cases in humans with a mortality rate close to 50%. However, the years of greatest circulation have been precisely the years following the COVID-19 pandemic, in which several cases have been recorded in humans in places where they had never appeared before, in addition to multiple cases in wild, domestic and peri-domestic mammals, which raise some concern about the risk that the virus may jump to humans through chains of transmission of greater or lesser extent. The current outbreak of A(H5N1) shows us that the One-Health concept should be more alive than ever to join efforts between professionals from different sectors of human, animal and environmental health to avoid or minimize these risks, so that reference laboratories such as the National Influenza Centers have the human and material resources to provide rapid and relevant information in the shortest possible time before emergencies of this type. The diagnostic and monitoring tools to be used in these cases must be available for any eventuality, and going beyond the basic data must be an indispensable premise to be able to carry out a detailed monitoring that serves to limit outbreaks, limit the spread of the disease, and help in the design of future pandemic vaccines against avian viruses.
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Affiliation(s)
- I Sanz-Muñoz
- Dr. Iván Sanz-Muñoz, National Influenza Centre, Valladolid, Calle Rondilla de Santa Teresa s/n, Edificio Rondilla, Hospital Clínico Universitario de Valladolid, Valladolid, Spain.
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Costa VA, Ronco F, Mifsud JCO, Harvey E, Salzburger W, Holmes EC. Host adaptive radiation is associated with rapid virus diversification and cross-species transmission in African cichlid fishes. Curr Biol 2024; 34:1247-1257.e3. [PMID: 38428417 DOI: 10.1016/j.cub.2024.02.008] [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: 10/19/2023] [Revised: 12/18/2023] [Accepted: 02/06/2024] [Indexed: 03/03/2024]
Abstract
Adaptive radiations are generated through a complex interplay of biotic and abiotic factors. Although adaptive radiations have been widely studied in the context of animal and plant evolution, little is known about how they impact the evolution of the viruses that infect these hosts, which in turn may provide insights into the drivers of cross-species transmission and hence disease emergence. We examined how the rapid adaptive radiation of the cichlid fishes of African Lake Tanganyika over the last 10 million years has shaped the diversity and evolution of the viruses they carry. Through metatranscriptomic analysis of 2,242 RNA sequencing libraries, we identified 121 vertebrate-associated viruses among various tissue types that fell into 13 RNA and 4 DNA virus groups. Host-switching was commonplace, particularly within the Astroviridae, Metahepadnavirus, Nackednavirus, Picornaviridae, and Hepacivirus groups, occurring more frequently than in other fish communities. A time-calibrated phylogeny revealed that hepacivirus diversification was not constant throughout the cichlid radiation but accelerated 2-3 million years ago, coinciding with a period of rapid cichlid diversification and niche packing in Lake Tanganyika, thereby providing more closely related hosts for viral infection. These data depict a dynamic virus ecosystem within the cichlids of Lake Tanganyika, characterized by rapid virus diversification and frequent host jumping, and likely reflecting their close phylogenetic relationships that lower the barriers to cross-species virus transmission.
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Affiliation(s)
- Vincenzo A Costa
- Sydney Institute for Infectious Diseases, School of Medical Sciences, The University of Sydney, Sydney, NSW 2006, Australia
| | - Fabrizia Ronco
- Natural History Museum, University of Oslo, 0562 Oslo, Norway
| | - Jonathon C O Mifsud
- Sydney Institute for Infectious Diseases, School of Medical Sciences, The University of Sydney, Sydney, NSW 2006, Australia
| | - Erin Harvey
- Sydney Institute for Infectious Diseases, School of Medical Sciences, The University of Sydney, Sydney, NSW 2006, Australia
| | - Walter Salzburger
- Zoological Institute, Department of Environmental Sciences, University of Basel, Vesalgasse 1, 4051 Basel, Switzerland
| | - Edward C Holmes
- Sydney Institute for Infectious Diseases, School of Medical Sciences, The University of Sydney, Sydney, NSW 2006, Australia.
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Martins M, Nooruzzaman M, Cunningham JL, Ye C, Caserta LC, Jackson N, Martinez-Sobrido L, Fang Y, Diel DG. The SARS-CoV-2 Spike is a virulence determinant and plays a major role on the attenuated phenotype of Omicron virus in a feline model of infection. J Virol 2024; 98:e0190223. [PMID: 38421180 PMCID: PMC10949471 DOI: 10.1128/jvi.01902-23] [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: 12/04/2023] [Accepted: 01/22/2024] [Indexed: 03/02/2024] Open
Abstract
The role of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron BA.1 Spike (S) on disease pathogenesis was investigated. For this, we generated recombinant viruses harboring the S D614G mutation (rWA1-D614G) and the Omicron BA.1 S gene (rWA1-Omi-S) in the backbone of the ancestral SARS-CoV-2 WA1 strain genome. The recombinant viruses were characterized in vitro and in vivo. Viral entry, cell-cell fusion, plaque size, and the replication kinetics of the rWA1-Omi-S virus were markedly impaired when compared to the rWA1-D614G virus, demonstrating a lower fusogenicity and ability to spread cell-to-cell of rWA1-Omi-S. To assess the contribution of the Omicron BA.1 S protein to SARS-CoV-2 pathogenesis, the pathogenicity of rWA1-D614G and rWA1-Omi-S viruses was compared in a feline model. While the rWA1-D614G-inoculated cats were lethargic and showed increased body temperatures on days 2 and 3 post-infection (pi), rWA1-Omi-S-inoculated cats remained subclinical and gained weight throughout the 14-day experimental period. Animals inoculated with rWA1-D614G presented higher infectious virus shedding in nasal secretions, when compared to rWA1-Omi-S-inoculated animals. In addition, tissue replication of the rWA1-Omi-S was markedly reduced compared to the rWA1-D614G, as evidenced by lower viral load in tissues on days 3 and 5 pi. Histologic examination of the nasal turbinate and lungs revealed intense inflammatory infiltration in rWA1-D614G-inoculated animals, whereas rWA1-Omi-S-inoculated cats presented only mild to modest inflammation. Together, these results demonstrate that the S protein is a major virulence determinant for SARS-CoV-2 playing a major role for the attenuated phenotype of the Omicron virus. IMPORTANCE We have demonstrated that the Omicron BA.1.1 variant presents lower pathogenicity when compared to D614G (B.1) lineage in a feline model of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. There are over 50 mutations across the Omicron genome, of which more than two-thirds are present in the Spike (S) protein. To assess the role of the Omicron BA.1 S on virus pathogenesis, recombinant viruses harboring the S D614G mutation (rWA1-D614G) and the Omicron BA.1 Spike gene (rWA1-Omi-S) in the backbone of the ancestral SARS-CoV-2 WA1 were generated. While the Omicron BA.1 S promoted early entry into cells, it led to impaired fusogenic activity and cell-cell spread. Infection studies with the recombinant viruses in a relevant naturally susceptible feline model of SARS-CoV-2 infection here revealed an attenuated phenotype of rWA1-Omi-S, demonstrating that the Omi-S is a major determinant of the attenuated disease phenotype of Omicron strains.
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Affiliation(s)
- Mathias Martins
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA
| | - Mohammed Nooruzzaman
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA
| | - Jessie Lee Cunningham
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA
| | - Chengjin Ye
- Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Leonardo Cardia Caserta
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA
| | | | | | - Ying Fang
- Department of Pathobiology, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Diego G. Diel
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA
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Jin S, Dickens BL, Toh KY, Lye DCB, Lee VJ, Cook AR. Feasibility of wastewater-based detection of emergent pandemics through a global network of airports. PLOS GLOBAL PUBLIC HEALTH 2024; 4:e0003010. [PMID: 38478549 PMCID: PMC10936834 DOI: 10.1371/journal.pgph.0003010] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 02/16/2024] [Indexed: 11/02/2024]
Abstract
Wastewater-based surveillance has been put into practice during the pandemic. Persistence of SARS-CoV-2 in faeces of infected individuals, and high volume of passengers travelling by air, make it possible to detect virus from aircraft wastewater, lending itself to the potential identification of a novel pathogen prior to clinical diagnosis. In this study, we estimated the likelihood of detecting the virus through aircraft wastewater from the probabilities of air travel, viral shedding, defecation, testing sensitivity, and sampling. We considered various hypothetical scenarios, with diverse sampling proportions of inbound flights, surveillance airports, and sources of outbreaks. Our calculations showed that the probability of detecting SARS-CoV-2 would increase exponentially against time in the early phase of the pandemic, and would be much higher if the 20 major airports in Asia, Europe, and North America cooperated to perform aircraft wastewater surveillance. We also found other contributors to early detection, including high sampling proportion of inbound flight at destination airports, small population size of the epicentre relative to the travel volume, and large volume of outbound travelers to major airports around the globe. We concluded that routine aircraft wastewater monitoring could be a feasible approach for early identification and tracking of an emerging pathogen with high faecal shedding rates, particularly when implemented through a global surveillance network of major airports.
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Affiliation(s)
- Shihui Jin
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Borame L. Dickens
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | | | - David Chien Boon Lye
- Department of Infectious Diseases, Tan Tock Seng Hospital, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- National Centre for Infectious Diseases, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Ministry of Health, Singapore, Singapore
| | - Vernon J. Lee
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- National Centre for Infectious Diseases, Singapore, Singapore
- Ministry of Health, Singapore, Singapore
| | - Alex R. Cook
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Department of Statistics and Data Science, National University of Singapore, Singapore, Singapore
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Ozawa T, Ikeda Y, Chen L, Suzuki R, Hoshino A, Noguchi A, Kita S, Anraku Y, Igarashi E, Saga Y, Inasaki N, Taminishi S, Sasaki J, Kirita Y, Fukuhara H, Maenaka K, Hashiguchi T, Fukuhara T, Hirabayashi K, Tani H, Kishi H, Niimi H. Rational in silico design identifies two mutations that restore UT28K SARS-CoV-2 monoclonal antibody activity against Omicron BA.1. Structure 2024; 32:263-272.e7. [PMID: 38228146 DOI: 10.1016/j.str.2023.12.013] [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: 09/07/2023] [Revised: 11/27/2023] [Accepted: 12/20/2023] [Indexed: 01/18/2024]
Abstract
SARS-CoV-2 rapidly mutates and acquires resistance to neutralizing antibodies. We report an in-silico-designed antibody that restores the neutralizing activity of a neutralizing antibody. Our previously generated antibody, UT28K, exhibited broad neutralizing activity against mutant variants; however, its efficacy against Omicron BA.1 was compromised by the mutation. Using previously determined structural information, we designed a modified-UT28K (VH T28R/N57D), UT28K-RD targeting the mutation site. In vitro and in vivo experiments demonstrated the efficacy of UT28K-RD in neutralizing Omicron BA.1. Although the experimentally determined structure partially differed from the predicted model, our study serves as a successful case of antibody design, wherein the predicted amino acid substitution enhanced the recognition of the previously elusive Omicron BA.1. We anticipate that numerous similar cases will be reported, showcasing the potential of this approach for improving protein-protein interactions. Our findings will contribute to the development of novel therapeutic strategies for highly mutable viruses, such as SARS-CoV-2.
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Affiliation(s)
- Tatsuhiko Ozawa
- Department of Immunology, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama, Japan; Center for Advanced Antibody Drug Development, University of Toyama, Toyama, Japan.
| | - Yoshiki Ikeda
- Institute for Integrated Cell-Material Sciences, Kyoto University, Yoshidahonnmachi, Sakyo-ku, Kyoto, Japan.
| | - Liuan Chen
- Laboratory of Biomolecular Science, Faculty of Pharmaceutical Sciences, Hokkaido University, Sapporo, Japan
| | - Rigel Suzuki
- Department of Microbiology and Immunology, Faculty of Medicine, Hokkaido University, Sapporo, Japan; Institute for Vaccine Research and Development (HU-IVReD), Hokkaido University, Sapporo, Japan
| | - Atsushi Hoshino
- Department of Cardiovascular Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Akira Noguchi
- Department of Diagnostic Pathology, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama, Japan
| | - Shunsuke Kita
- Laboratory of Biomolecular Science, Faculty of Pharmaceutical Sciences, Hokkaido University, Sapporo, Japan
| | - Yuki Anraku
- Laboratory of Biomolecular Science, Faculty of Pharmaceutical Sciences, Hokkaido University, Sapporo, Japan
| | - Emiko Igarashi
- Department of Virology, Toyama Institute of Health, Toyama, Japan
| | - Yumiko Saga
- Department of Virology, Toyama Institute of Health, Toyama, Japan
| | - Noriko Inasaki
- Department of Virology, Toyama Institute of Health, Toyama, Japan
| | - Shunta Taminishi
- Department of Cardiovascular Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Jiei Sasaki
- Laboratory of Medical Virology, Institute for Life and Medical Sciences, Kyoto University, Kyoto, Japan
| | - Yuhei Kirita
- Department of Nephrology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Hideo Fukuhara
- Laboratory of Biomolecular Science, Faculty of Pharmaceutical Sciences, Hokkaido University, Sapporo, Japan; Institute for Vaccine Research and Development (HU-IVReD), Hokkaido University, Sapporo, Japan; Center for Research and Education on Drug Discovery, Faculty of Pharmaceutical Sciences, Hokkaido University, Sapporo, Japan; Division of Pathogen Structure, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
| | - Katsumi Maenaka
- Laboratory of Biomolecular Science, Faculty of Pharmaceutical Sciences, Hokkaido University, Sapporo, Japan; Institute for Vaccine Research and Development (HU-IVReD), Hokkaido University, Sapporo, Japan; Center for Research and Education on Drug Discovery, Faculty of Pharmaceutical Sciences, Hokkaido University, Sapporo, Japan; Division of Pathogen Structure, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan; Global Station for Biosurfaces and Drug Discovery, Hokkaido University, Sapporo, Japan
| | - Takao Hashiguchi
- Laboratory of Medical Virology, Institute for Life and Medical Sciences, Kyoto University, Kyoto, Japan
| | - Takasuke Fukuhara
- Department of Microbiology and Immunology, Faculty of Medicine, Hokkaido University, Sapporo, Japan; Institute for Vaccine Research and Development (HU-IVReD), Hokkaido University, Sapporo, Japan; Laboratory of Virus Control, Research Institute for Microbial Diseases, Osaka University, Suita, Japan; AMED-CREST, Japan Agency for Medical Research and Development (AMED), Tokyo, Japan
| | - Kenichi Hirabayashi
- Department of Diagnostic Pathology, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama, Japan
| | - Hideki Tani
- Department of Virology, Toyama Institute of Health, Toyama, Japan
| | - Hiroyuki Kishi
- Department of Immunology, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama, Japan; Center for Advanced Antibody Drug Development, University of Toyama, Toyama, Japan
| | - Hideki Niimi
- Center for Advanced Antibody Drug Development, University of Toyama, Toyama, Japan; Department of Clinical Laboratory and Molecular Pathology, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama, Japan
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Dirajlal-Fargo S, Maison DP, Durieux JC, Andrukhiv A, Funderburg N, Ailstock K, Gerschenson M, Mccomsey GA. Altered mitochondrial respiration in peripheral blood mononuclear cells of post-acute sequelae of SARS-CoV-2 infection. Mitochondrion 2024; 75:101849. [PMID: 38341012 PMCID: PMC11283875 DOI: 10.1016/j.mito.2024.101849] [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: 07/18/2023] [Revised: 01/20/2024] [Accepted: 02/01/2024] [Indexed: 02/12/2024]
Abstract
Peripheral blood mononuclear cells (PBMC) mitochondrial respiration was measured ex vivo from participants without a history of COVID (n = 19), with a history of COVID and full recovery (n = 20), and with PASC (n = 20). Mean mitochondrial basal respiration, ATP-linked respiration, maximal respiration, spare respiration capacity, ATP-linked respiration, and non-mitochondrial respiration were highest in COVID + PASC+ (p ≤ 0.04). Every unit increase in non-mitochondrial respiration, ATP-linked respiration, basal respiration, spare respiration capacity, and maximal respiration increased the predicted odds of PASC between 1 % and 6 %. Mitochondrial dysfunction in PBMCs may be contributing to the etiology of PASC.
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Affiliation(s)
- Sahera Dirajlal-Fargo
- Case Western Reserve University, Cleveland, OH, USA; Ann and Robert Lurie Children's Hospital, Chicago, IL, USA.
| | - David P Maison
- Department of Cell and Molecular Biology, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA.
| | | | - Anastasia Andrukhiv
- Department of Cell and Molecular Biology, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA.
| | - Nicholas Funderburg
- Division of Medical Laboratory Science, School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, USA.
| | - Kate Ailstock
- Division of Medical Laboratory Science, School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, USA.
| | - Mariana Gerschenson
- Department of Cell and Molecular Biology, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA.
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45
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Feola S, Chiaro J, Fusciello M, Russo S, Kleino I, Ylösmäki L, Kekäläinen E, Hästbacka J, Pekkarinen PT, Ylösmäki E, Capone S, Folgori A, Raggioli A, Boni C, Tiezzi C, Vecchi A, Gelzo M, Kared H, Nardin A, Fehlings M, Barban V, Ahokas P, Viitala T, Castaldo G, Pastore L, Porter P, Pesonen S, Cerullo V. PeptiVAX: A new adaptable peptides-delivery platform for development of CTL-based, SARS-CoV-2 vaccines. Int J Biol Macromol 2024; 262:129926. [PMID: 38331062 DOI: 10.1016/j.ijbiomac.2024.129926] [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: 08/01/2023] [Revised: 01/30/2024] [Accepted: 01/31/2024] [Indexed: 02/10/2024]
Abstract
The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) posed a threat to public health and the global economy, necessitating the development of various vaccination strategies. Mutations in the SPIKE protein gene, a crucial component of mRNA and adenovirus-based vaccines, raised concerns about vaccine efficacy, prompting the need for rapid vaccine updates. To address this, we leveraged PeptiCRAd, an oncolytic vaccine based on tumor antigen decorated oncolytic adenoviruses, creating a vaccine platform called PeptiVAX. First, we identified multiple CD8 T-cell epitopes from highly conserved regions across coronaviruses, expanding the range of T-cell responses to non-SPIKE proteins. We designed short segments containing the predicted epitopes presented by common HLA-Is in the global population. Testing the immunogenicity, we characterized T-cell responses to candidate peptides in peripheral blood mononuclear cells (PBMCs) from pre-pandemic healthy donors and ICU patients. As a proof of concept in mice, we selected a peptide with epitopes predicted to bind to murine MHC-I haplotypes. Our technology successfully elicited peptide-specific T-cell responses, unaffected by the use of unarmed adenoviral vectors or adeno-based vaccines encoding SPIKE. In conclusion, PeptiVAX represents a fast and adaptable SARS-CoV-2 vaccine delivery system that broadens T-cell responses beyond the SPIKE protein, offering potential benefits for vaccine effectiveness.
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Affiliation(s)
- Sara Feola
- Drug Research Program (DRP) ImmunoViroTherapy Lab (IVT), Division of Pharmaceutical Biosciences, Faculty of Pharmacy, Viikinkaari 5E, University of Helsinki, 00790 Helsinki, Finland; Helsinki Institute of Life Science (HiLIFE), Fabianinkatu 33, University of Helsinki, 00710 Helsinki, Finland; Translational Immunology Program (TRIMM), Faculty of Medicine Helsinki University, postal code Haartmaninkatu 8, University of Helsinki, 00290 Helsinki, Finland; Digital Precision Cancer Medicine Flagship (iCAN), University of Helsinki, FI-00014 Helsinki, Finland
| | - Jacopo Chiaro
- Drug Research Program (DRP) ImmunoViroTherapy Lab (IVT), Division of Pharmaceutical Biosciences, Faculty of Pharmacy, Viikinkaari 5E, University of Helsinki, 00790 Helsinki, Finland; Helsinki Institute of Life Science (HiLIFE), Fabianinkatu 33, University of Helsinki, 00710 Helsinki, Finland; Translational Immunology Program (TRIMM), Faculty of Medicine Helsinki University, postal code Haartmaninkatu 8, University of Helsinki, 00290 Helsinki, Finland; Digital Precision Cancer Medicine Flagship (iCAN), University of Helsinki, FI-00014 Helsinki, Finland
| | - Manlio Fusciello
- Drug Research Program (DRP) ImmunoViroTherapy Lab (IVT), Division of Pharmaceutical Biosciences, Faculty of Pharmacy, Viikinkaari 5E, University of Helsinki, 00790 Helsinki, Finland; Helsinki Institute of Life Science (HiLIFE), Fabianinkatu 33, University of Helsinki, 00710 Helsinki, Finland; Translational Immunology Program (TRIMM), Faculty of Medicine Helsinki University, postal code Haartmaninkatu 8, University of Helsinki, 00290 Helsinki, Finland; Digital Precision Cancer Medicine Flagship (iCAN), University of Helsinki, FI-00014 Helsinki, Finland
| | - Salvatore Russo
- Drug Research Program (DRP) ImmunoViroTherapy Lab (IVT), Division of Pharmaceutical Biosciences, Faculty of Pharmacy, Viikinkaari 5E, University of Helsinki, 00790 Helsinki, Finland; Helsinki Institute of Life Science (HiLIFE), Fabianinkatu 33, University of Helsinki, 00710 Helsinki, Finland; Translational Immunology Program (TRIMM), Faculty of Medicine Helsinki University, postal code Haartmaninkatu 8, University of Helsinki, 00290 Helsinki, Finland; Digital Precision Cancer Medicine Flagship (iCAN), University of Helsinki, FI-00014 Helsinki, Finland
| | - Iivari Kleino
- Turku Bioscience Centre, University of Turku and Åbo Akademi University Turku, Turku, Finland
| | | | - Eliisa Kekäläinen
- Translational Immunology Program (TRIMM), Faculty of Medicine Helsinki University, postal code Haartmaninkatu 8, University of Helsinki, 00290 Helsinki, Finland; HUSLAB Clinical Microbiology, HUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Johanna Hästbacka
- HUSLAB Clinical Microbiology, HUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Pirkka T Pekkarinen
- Translational Immunology Program (TRIMM), Faculty of Medicine Helsinki University, postal code Haartmaninkatu 8, University of Helsinki, 00290 Helsinki, Finland; Division of Intensive Care Medicine, Department of Anaesthesiology and Intensive Care, University of Helsinki and Helsinki University Hospital, Finland
| | - Erkko Ylösmäki
- Drug Research Program (DRP) ImmunoViroTherapy Lab (IVT), Division of Pharmaceutical Biosciences, Faculty of Pharmacy, Viikinkaari 5E, University of Helsinki, 00790 Helsinki, Finland; Helsinki Institute of Life Science (HiLIFE), Fabianinkatu 33, University of Helsinki, 00710 Helsinki, Finland; Translational Immunology Program (TRIMM), Faculty of Medicine Helsinki University, postal code Haartmaninkatu 8, University of Helsinki, 00290 Helsinki, Finland; Digital Precision Cancer Medicine Flagship (iCAN), University of Helsinki, FI-00014 Helsinki, Finland
| | | | | | | | - Carolina Boni
- Laboratory of Viral Immunopathology, Unit of Infectious Disease and Hepatology, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Camilla Tiezzi
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Andrea Vecchi
- Laboratory of Viral Immunopathology, Unit of Infectious Disease and Hepatology, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Monica Gelzo
- CEINGE-Biotecnologie Avanzate, Naples, Italy; Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università di Napoli Federico II, Naples, Italy
| | | | | | | | | | | | - Tapani Viitala
- Pharmaceutical Biophysics Research Group, Drug Research Program, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland
| | - Giuseppe Castaldo
- CEINGE-Biotecnologie Avanzate, Naples, Italy; Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università di Napoli Federico II, Naples, Italy
| | - Lucio Pastore
- CEINGE-Biotecnologie Avanzate, Naples, Italy; Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università di Napoli Federico II, Naples, Italy; Department of Molecular Medicine and Medical Biotechnology, Naples University "Federico II", S. Pansini 5, Italy
| | - Paul Porter
- Valo Therapeutics Oy, Helsinki, Finland; School of Nursing, Curtin University, GPO Box U 1987, Perth, WA 6845, Australia
| | | | - Vincenzo Cerullo
- Drug Research Program (DRP) ImmunoViroTherapy Lab (IVT), Division of Pharmaceutical Biosciences, Faculty of Pharmacy, Viikinkaari 5E, University of Helsinki, 00790 Helsinki, Finland; Helsinki Institute of Life Science (HiLIFE), Fabianinkatu 33, University of Helsinki, 00710 Helsinki, Finland; Translational Immunology Program (TRIMM), Faculty of Medicine Helsinki University, postal code Haartmaninkatu 8, University of Helsinki, 00290 Helsinki, Finland; Digital Precision Cancer Medicine Flagship (iCAN), University of Helsinki, FI-00014 Helsinki, Finland; Institute for Molecular Medicine Finland, FIMM, Helsinki Institute of Life Science (HiLIFE), University of Helsinki, FI-00014 Helsinki, Finland; Department of Molecular Medicine and Medical Biotechnology, Naples University "Federico II", S. Pansini 5, Italy.
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46
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Fang R, Yang X, Guo Y, Peng B, Dong R, Li S, Xu S. SARS-CoV-2 infection in animals: Patterns, transmission routes, and drivers. ECO-ENVIRONMENT & HEALTH 2024; 3:45-54. [PMID: 38169914 PMCID: PMC10758742 DOI: 10.1016/j.eehl.2023.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 09/05/2023] [Accepted: 09/17/2023] [Indexed: 01/05/2024]
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is more widespread in animals than previously thought, and it may be able to infect a wider range of domestic and wild species. To effectively control the spread of the virus and protect animal health, it is crucial to understand the cross-species transmission mechanisms and risk factors of SARS-CoV-2. This article collects published literature on SARS-CoV-2 in animals and examines the distribution, transmission routes, biophysical, and anthropogenic drivers of infected animals. The reported cases of infection in animals are mainly concentrated in South America, North America, and Europe, and species affected include lions, white-tailed deer, pangolins, minks, and cats. Biophysical factors influencing infection of animals with SARS-CoV-2 include environmental determinants, high-risk landscapes, air quality, and susceptibility of different animal species, while anthropogenic factors comprise human behavior, intensive livestock farming, animal markets, and land management. Due to current research gaps and surveillance capacity shortcomings, future mitigation strategies need to be designed from a One Health perspective, with research focused on key regions with significant data gaps in Asia and Africa to understand the drivers, pathways, and spatiotemporal dynamics of interspecies transmission.
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Affiliation(s)
- Ruying Fang
- School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Xin Yang
- School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Yiyang Guo
- School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Bingjie Peng
- School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Ruixuan Dong
- School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Sen Li
- School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Shunqing Xu
- School of Life Sciences, Hainan University, Haikou 570228, China
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47
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Gallego-García P, Estévez-Gómez N, De Chiara L, Alvariño P, Juiz-González PM, Torres-Beceiro I, Poza M, Vallejo JA, Rumbo-Feal S, Conde-Pérez K, Aja-Macaya P, Ladra S, Moreno-Flores A, Gude-González MJ, Coira A, Aguilera A, Costa-Alcalde JJ, Trastoy R, Barbeito-Castiñeiras G, García-Souto D, Tubio JMC, Trigo-Daporta M, Camacho-Zamora P, Costa JG, González-Domínguez M, Canoura-Fernández L, Glez-Peña D, Pérez-Castro S, Cabrera JJ, Daviña-Núñez C, Godoy-Diz M, Treinta-Álvarez AB, Veiga MI, Sousa JC, Osório NS, Comas I, González-Candelas F, Hong SL, Bollen N, Dellicour S, Baele G, Suchard MA, Lemey P, Agulla A, Bou G, Alonso-García P, Pérez-Del-Molino ML, García-Campello M, Paz-Vidal I, Regueiro B, Posada D. Dispersal history of SARS-CoV-2 in Galicia, Spain. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.27.24303385. [PMID: 38463998 PMCID: PMC10925372 DOI: 10.1101/2024.02.27.24303385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
The dynamics of SARS-CoV-2 transmission are influenced by a variety of factors, including social restrictions and the emergence of distinct variants. In this study, we delve into the origins and dissemination of the Alpha, Delta, and Omicron variants of concern in Galicia, northwest Spain. For this, we leveraged genomic data collected by the EPICOVIGAL Consortium and from the GISAID database, along with mobility information from other Spanish regions and foreign countries. Our analysis indicates that initial introductions during the Alpha phase were predominantly from other Spanish regions and France. However, as the pandemic progressed, introductions from Portugal and the USA became increasingly significant. Notably, Galicia's major coastal cities emerged as critical hubs for viral transmission, highlighting their role in sustaining and spreading the virus. This research emphasizes the critical role of regional connectivity in the spread of SARS-CoV-2 and offers essential insights for enhancing public health strategies and surveillance measures.
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Affiliation(s)
- Pilar Gallego-García
- CINBIO, Universidade de Vigo, 36310 Vigo, Spain
- Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO
| | - Nuria Estévez-Gómez
- CINBIO, Universidade de Vigo, 36310 Vigo, Spain
- Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO
| | - Loretta De Chiara
- CINBIO, Universidade de Vigo, 36310 Vigo, Spain
- Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO
- Department of Biochemistry, Genetics, and Immunology, Universidade de Vigo, Vigo 36310, Spain
| | | | - Pedro M Juiz-González
- Servicio de Microbiología del Complejo Hospitalario Universitario de Ferrol, 15405 Ferrol
| | - Isabel Torres-Beceiro
- Servicio de Microbiología del Complejo Hospitalario Universitario de Ferrol, 15405 Ferrol
| | - Margarita Poza
- Microbiology Research Group, Institute of Biomedical Research (INIBIC) - Interdisciplinary Center for Chemistry and Biology (CICA) - University of A Coruña (UDC) - CIBER de Enfermedades Infecciosas (CIBERINFEC-ISCIII), Madrid. Servicio de Microbiología, 3° planta, Edificio Sur, Hospital Universitario A Coruña, As Xubias, 15006, A Coruña, Spain
- Microbiome and Health Group, Faculty of Sciences, University of A Coruña (UDC). Campus da Zapateira, 15008, A Coruña, Spain
| | - Juan A Vallejo
- Microbiology Research Group, Institute of Biomedical Research (INIBIC) - Interdisciplinary Center for Chemistry and Biology (CICA) - University of A Coruña (UDC) - CIBER de Enfermedades Infecciosas (CIBERINFEC-ISCIII), Madrid. Servicio de Microbiología, 3° planta, Edificio Sur, Hospital Universitario A Coruña, As Xubias, 15006, A Coruña, Spain
| | - Soraya Rumbo-Feal
- Microbiology Research Group, Institute of Biomedical Research (INIBIC) - Interdisciplinary Center for Chemistry and Biology (CICA) - University of A Coruña (UDC) - CIBER de Enfermedades Infecciosas (CIBERINFEC-ISCIII), Madrid. Servicio de Microbiología, 3° planta, Edificio Sur, Hospital Universitario A Coruña, As Xubias, 15006, A Coruña, Spain
| | - Kelly Conde-Pérez
- Microbiology Research Group, Institute of Biomedical Research (INIBIC) - Interdisciplinary Center for Chemistry and Biology (CICA) - University of A Coruña (UDC) - CIBER de Enfermedades Infecciosas (CIBERINFEC-ISCIII), Madrid. Servicio de Microbiología, 3° planta, Edificio Sur, Hospital Universitario A Coruña, As Xubias, 15006, A Coruña, Spain
| | - Pablo Aja-Macaya
- Microbiology Research Group, Institute of Biomedical Research (INIBIC) - Interdisciplinary Center for Chemistry and Biology (CICA) - University of A Coruña (UDC) - CIBER de Enfermedades Infecciosas (CIBERINFEC-ISCIII), Madrid. Servicio de Microbiología, 3° planta, Edificio Sur, Hospital Universitario A Coruña, As Xubias, 15006, A Coruña, Spain
| | - Susana Ladra
- Database Laboratory, Research Center for Information and Communication Technologies (CITIC), University of A Coruña (UDC), Campus de Elviña, 15071 A Coruña, Spain
| | | | | | - Amparo Coira
- Microbiology Department, Complexo Hospitalario Universitario de Santiago de Compostela. SERGAS - Microbiology Research Group, Institute of Biomedical Research (IDIS) - Santiago de Compostela 15706, Spain
| | - Antonio Aguilera
- Microbiology Department, Complexo Hospitalario Universitario de Santiago de Compostela. SERGAS - Microbiology Research Group, Institute of Biomedical Research (IDIS) - Santiago de Compostela 15706, Spain
| | - José J Costa-Alcalde
- Microbiology Department, Complexo Hospitalario Universitario de Santiago de Compostela. SERGAS - Microbiology Research Group, Institute of Biomedical Research (IDIS) - Santiago de Compostela 15706, Spain
| | - Rocío Trastoy
- Microbiology Department, Complexo Hospitalario Universitario de Santiago de Compostela. SERGAS - Microbiology Research Group, Institute of Biomedical Research (IDIS) - Santiago de Compostela 15706, Spain
| | - Gema Barbeito-Castiñeiras
- Microbiology Department, Complexo Hospitalario Universitario de Santiago de Compostela. SERGAS - Microbiology Research Group, Institute of Biomedical Research (IDIS) - Santiago de Compostela 15706, Spain
| | - Daniel García-Souto
- CiMUS, Universidade de Santiago de Compostela, 15782, Santiago de Compostela, Spain. - Department of Zoology, Genetics and Physic Anthropology, 15782, Santiago de Compostela, Spain
| | - José M C Tubio
- CiMUS, Universidade de Santiago de Compostela, 15782, Santiago de Compostela, Spain. - Department of Zoology, Genetics and Physic Anthropology, 15782, Santiago de Compostela, Spain
| | - Matilde Trigo-Daporta
- Clinical Microbiology Unit, Complexo Hospitalario Universitario de Pontevedra, Pontevedra, Spain
| | - Pablo Camacho-Zamora
- Clinical Microbiology Unit, Complexo Hospitalario Universitario de Pontevedra, Pontevedra, Spain
| | - Juan García Costa
- Servicio de Microbiología. Complejo Hospitalario Universitario de Ourense, 32005, Ourense, Spain
| | - María González-Domínguez
- Servicio de Microbiología. Complejo Hospitalario Universitario de Ourense, 32005, Ourense, Spain
| | - Luis Canoura-Fernández
- Servicio de Microbiología. Complejo Hospitalario Universitario de Ourense, 32005, Ourense, Spain
| | - Daniel Glez-Peña
- CINBIO, Universidade de Vigo, 36310 Vigo, Spain
- Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO
| | - Sonia Pérez-Castro
- Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo 36213, Spain
- Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Vigo, Spain
| | - Jorge J Cabrera
- Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo 36213, Spain
- Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Vigo, Spain
| | - Carlos Daviña-Núñez
- Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Vigo, Spain
| | - Montserrat Godoy-Diz
- Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo 36213, Spain
| | - Ana Belén Treinta-Álvarez
- Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo 36213, Spain
| | - Maria Isabel Veiga
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Campus Gualtar, 4710-057 Braga, Portugal - ICVS/3B's-PT Government Associate Laboratory, 4806-909, Guimarães/ Braga, Portugal
| | - João Carlos Sousa
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Campus Gualtar, 4710-057 Braga, Portugal - ICVS/3B's-PT Government Associate Laboratory, 4806-909, Guimarães/ Braga, Portugal
| | - Nuno S Osório
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Campus Gualtar, 4710-057 Braga, Portugal - ICVS/3B's-PT Government Associate Laboratory, 4806-909, Guimarães/ Braga, Portugal
| | - Iñaki Comas
- Tuberculosis Genomics Unit, Biomedicine Institute of Valencia, Spanish Research Council (CSIC), Valencia, Spain
- CIBER in Epidemiology and Public Health, Spain; Joint Research Unit "Infection and Public Health" FISABIO-University of Valencia, Valencia, Spain
| | - Fernando González-Candelas
- CIBER in Epidemiology and Public Health, Spain; Joint Research Unit "Infection and Public Health" FISABIO-University of Valencia, Valencia, Spain
- Institute for Integrative Systems Biology (I2SysBio), University of Valencia-CSIC, Valencia, Spain
| | - Samuel L Hong
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory of Clinical and Epidemiological Virology, KU Leuven - University of Leuven, 3000 Leuven, Belgium
| | - Nena Bollen
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory of Clinical and Epidemiological Virology, KU Leuven - University of Leuven, 3000 Leuven, Belgium
| | - Simon Dellicour
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory of Clinical and Epidemiological Virology, KU Leuven - University of Leuven, 3000 Leuven, Belgium
- Spatial Epidemiology Lab, Université Libre de Bruxelles, 1000 Brussels, Belgium
| | - Guy Baele
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory of Clinical and Epidemiological Virology, KU Leuven - University of Leuven, 3000 Leuven, Belgium
| | - Marc A Suchard
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA 90095, USA - Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA - Department of Computational Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Philippe Lemey
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory of Clinical and Epidemiological Virology, KU Leuven - University of Leuven, 3000 Leuven, Belgium
- Global Virus Network (GVN), Baltimore, MD 21201, USA
| | - Andrés Agulla
- Servicio de Microbiología del Complejo Hospitalario Universitario de Ferrol, 15405 Ferrol
| | - Germán Bou
- Microbiology Research Group, Institute of Biomedical Research (INIBIC) - Interdisciplinary Center for Chemistry and Biology (CICA) - University of A Coruña (UDC) - CIBER de Enfermedades Infecciosas (CIBERINFEC-ISCIII), Madrid. Servicio de Microbiología, 3° planta, Edificio Sur, Hospital Universitario A Coruña, As Xubias, 15006, A Coruña, Spain
| | - Pilar Alonso-García
- Servicio de Microbiología, Hospital Universitario Lucus Augusti, Lugo, Spain
| | - María Luisa Pérez-Del-Molino
- Microbiology Department, Complexo Hospitalario Universitario de Santiago de Compostela. SERGAS - Microbiology Research Group, Institute of Biomedical Research (IDIS) - Santiago de Compostela 15706, Spain
| | - Marta García-Campello
- Clinical Microbiology Unit, Complexo Hospitalario Universitario de Pontevedra, Pontevedra, Spain
| | - Isabel Paz-Vidal
- Servicio de Microbiología. Complejo Hospitalario Universitario de Ourense, 32005, Ourense, Spain
| | - Benito Regueiro
- Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo 36213, Spain
- Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Vigo, Spain
| | - David Posada
- CINBIO, Universidade de Vigo, 36310 Vigo, Spain
- Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO
- Department of Biochemistry, Genetics, and Immunology, Universidade de Vigo, Vigo 36310, Spain
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48
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Vora NM, Hassan L, Plowright RK, Horton R, Cook S, Sizer N, Bernstein A. The Lancet-PPATS Commission on Prevention of Viral Spillover: reducing the risk of pandemics through primary prevention. Lancet 2024; 403:597-599. [PMID: 37837991 DOI: 10.1016/s0140-6736(23)01064-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 05/15/2023] [Indexed: 10/16/2023]
Affiliation(s)
- Neil M Vora
- Conservation International, Arlington, VA 22202, USA; Department of Medicine, Columbia University, New York, NY, USA.
| | | | - Raina K Plowright
- Department of Public and Ecosystem Health, Cornell University, Ithaca, NY, USA
| | | | - Sonila Cook
- Preventing Pandemics at the Source, Washington, DC, USA
| | - Nigel Sizer
- Preventing Pandemics at the Source, Washington, DC, USA
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Pouliquen A, Mapeyi GAB, Vanthomme H, Olive MM, Maganga GD, Cornelis D, Lebel S, Peyre M, Delabouglise A. An experimental game to assess hunter's participation in zoonotic diseases surveillance. BMC Public Health 2024; 24:342. [PMID: 38302879 PMCID: PMC10832086 DOI: 10.1186/s12889-024-17696-7] [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: 07/14/2023] [Accepted: 01/08/2024] [Indexed: 02/03/2024] Open
Abstract
BACKGROUND Strengthening the surveillance of zoonotic diseases emergence in the wild meat value chains is a critical component of the prevention of future health crises. Community hunters could act as first-line observers in zoonotic pathogens surveillance systems in wildlife, by reporting early signs of the possible presence of a disease in the game animals they observe and manipulate on a regular basis. METHODS An experimental game was developed and implemented in a forested area of Gabon, in central Africa. Our objective was to improve our understanding of community hunters' decision-making when finding signs of zoonotic diseases in game animals: would they report or dissimulate these findings to a health agency? 88 hunters, divided into 9 groups of 5 to 13 participants, participated in the game, which was run over 21 rounds. In each round the players participated in a simulated hunting trip during which they had a chance of capturing a wild animal displaying clinical signs of a zoonotic disease. When signs were visible, players had to decide whether to sell/consume the animal or to report it. The last option implied a lowered revenue from the hunt but an increased probability of early detection of zoonotic diseases with benefits for the entire group of hunters. RESULTS The results showed that false alerts-i.e. a suspect case not caused by a zoonotic disease-led to a decrease in the number of reports in the next round (Odds Ratio [OR]: 0.46, 95% Confidence Interval [CI]: 0.36-0.8, p < 0.01). Hunters who had an agricultural activity in addition to hunting reported suspect cases more often than others (OR: 2.05, 95% CI: 1.09-3.88, p < 0.03). The number of suspect case reports increased with the rank of the game round (Incremental OR: 1.11, CI: 1.06-1.17, p < 0.01) suggesting an increase in participants' inclination to report throughout the game. CONCLUSION Using experimental games presents an added value for improving the understanding of people's decisions to participate in health surveillance systems.
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Affiliation(s)
- Aude Pouliquen
- CIRAD, UMR ASTRE, Montpellier, France.
- CIRAD, UMR ASTRE, Univ Montpellier, INRAE, Montpellier, France.
| | | | - Hadrien Vanthomme
- CIRAD, UPR Forêts Et Sociétés, Montpellier, France
- CIRAD, Forêts et Sociétés, Université de Montpellier, Montpellier, France
| | - Marie-Marie Olive
- CIRAD, UMR ASTRE, Montpellier, France
- CIRAD, UMR ASTRE, Univ Montpellier, INRAE, Montpellier, France
| | - Gaël Darren Maganga
- Centre Interdisciplinaire de Recherches Médicales de Franceville (CIRMF), Franceville, Gabon
| | - Daniel Cornelis
- CIRAD, UPR Forêts Et Sociétés, Montpellier, France
- CIRAD, Forêts et Sociétés, Université de Montpellier, Montpellier, France
| | - Sébastien Lebel
- CIRAD, UPR Forêts Et Sociétés, Montpellier, France
- CIRAD, Forêts et Sociétés, Université de Montpellier, Montpellier, France
| | - Marisa Peyre
- CIRAD, UMR ASTRE, Montpellier, France
- CIRAD, UMR ASTRE, Univ Montpellier, INRAE, Montpellier, France
| | - Alexis Delabouglise
- CIRAD, UMR ASTRE, Montpellier, France.
- CIRAD, UMR ASTRE, Univ Montpellier, INRAE, Montpellier, France.
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50
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Gutti G, He Y, Coldren WH, Lalisse RF, Border SE, Hadad CM, McElroy CA, Ekici ÖD. In-silico guided design, screening, and molecular dynamic simulation studies for the identification of potential SARS-CoV-2 main protease inhibitors for the targeted treatment of COVID-19. J Biomol Struct Dyn 2024; 42:1733-1750. [PMID: 37114441 DOI: 10.1080/07391102.2023.2202247] [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: 01/07/2023] [Accepted: 04/08/2023] [Indexed: 04/29/2023]
Abstract
COVID-19, the disease responsible for the recent pandemic, is caused by a novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The main protease (Mpro) of SARS-CoV-2 is an essential proteolytic enzyme that plays a number of important roles in the replication of the virus in human host cells. Blocking the function of SARS-CoV-2 Mpro offers a promising and targeted, therapeutic option for the treatment of the COVID-19 infection. Such an inhibitory strategy is currently successful in treating COVID-19 under FDA's emergency use authorization, although with limited benefit to the immunocompromised along with an unfortunate number of side effects and drug-drug interactions. Current COVID vaccines protect against severe disease and death but are mostly ineffective toward long COVID which has been seen in 5-36% of patients. SARS-CoV-2 is a rapidly mutating virus and is here to stay endemically. Hence, alternate therapeutics to treat SARS-CoV-2 infections are still needed. Moreover, because of the high degree of conservation of Mpro among different coronaviruses, any newly developed antiviral agents should better prepare us for potential future epidemics or pandemics. In this paper, we first describe the design and computational docking of a library of novel 188 first-generation peptidomimetic protease inhibitors using various electrophilic warheads with aza-peptide epoxides, α-ketoesters, and β-diketones identified as the most effective. Second-generation designs, 192 compounds in total, focused on aza-peptide epoxides with drug-like properties, incorporating dipeptidyl backbones and heterocyclic ring motifs such as proline, indole, and pyrrole groups, yielding 8 hit candidates. These novel and specific inhibitors for SARS-CoV-2 Mpro can ultimately serve as valuable alternate and broad-spectrum antivirals against COVID-19.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Gopichand Gutti
- Division of Medicinal Chemistry and Pharmacognosy, College of Pharmacy, The Ohio State University, Columbus, Ohio, USA
| | - Yiran He
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio, USA
| | - William H Coldren
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio, USA
| | - Remy F Lalisse
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio, USA
| | - Sarah E Border
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio, USA
| | - Christopher M Hadad
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio, USA
| | - Craig A McElroy
- Division of Medicinal Chemistry and Pharmacognosy, College of Pharmacy, The Ohio State University, Columbus, Ohio, USA
| | - Özlem Doğan Ekici
- Department of Chemistry and Biochemistry, The Ohio State University, Newark, Ohio, USA
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