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Yan Q, Gao X, Liu B, Hou R, He P, Ma Y, Zhang Y, Zhang Y, Li Z, Chen Q, Wang J, Huang X, Liang H, Zheng H, Yao Y, Chen X, Niu X, He J, Chen L, Zhao J, Xiong X. Antibodies utilizing VL6-57 light chains target a convergent cryptic epitope on SARS-CoV-2 spike protein and potentially drive the genesis of Omicron variants. Nat Commun 2024; 15:7585. [PMID: 39217172 PMCID: PMC11366018 DOI: 10.1038/s41467-024-51770-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 08/17/2024] [Indexed: 09/04/2024] Open
Abstract
Continued evolution of SARS-CoV-2 generates variants to challenge antibody immunity established by infection and vaccination. A connection between population immunity and genesis of virus variants has long been suggested but its molecular basis remains poorly understood. Here, we identify a class of SARS-CoV-2 neutralizing public antibodies defined by their shared usage of VL6-57 light chains. Although heavy chains of diverse genotypes are utilized, convergent HCDR3 rearrangements have been observed among these public antibodies to cooperate with germline VL6-57 LCDRs to target a convergent epitope defined by RBD residues S371-S373-S375. Antibody repertoire analysis identifies that this class of VL6-57 antibodies is present in SARS-CoV-2-naive individuals and is clonally expanded in most COVID-19 patients. We confirm that Omicron-specific substitutions at S371, S373 and S375 mediate escape of antibodies of the VL6-57 class. These findings support that this class of public antibodies constitutes a potential immune pressure promoting the introduction of S371L/F-S373P-S375F in Omicron variants. The results provide further molecular evidence to support that antigenic evolution of SARS-CoV-2 is driven by antibody mediated population immunity.
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Affiliation(s)
- Qihong Yan
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xijie Gao
- Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Banghui Liu
- State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Ruitian Hou
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Ping He
- Guangzhou National Laboratory, Guangzhou, China
| | - Yong Ma
- State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yudi Zhang
- State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yanjun Zhang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zimu Li
- State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Qiuluan Chen
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health - Guangdong Laboratory), Guangzhou, China
| | - Jingjing Wang
- State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Xiaohan Huang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Huan Liang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Huiran Zheng
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yichen Yao
- Shanghai Institute for Advanced Immunochemical Studies, School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Xianying Chen
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xuefeng Niu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jun He
- State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
| | - Ling Chen
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
- State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
- Guangzhou National Laboratory, Guangzhou, China.
| | - Jincun Zhao
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
- Guangzhou National Laboratory, Guangzhou, China.
- Shanghai Institute for Advanced Immunochemical Studies, School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
| | - Xiaoli Xiong
- State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
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2
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Liu J, Li N, Zhang L, Lu Y, Shen M, Zhang Y, Feng L, Jing J, Cheng J, Xu Y. A Wax Interface-Enabled One-Pot Multiplexed Nucleic Acid Testing Platform for Rapid and Sensitive Detection of Viruses and Variants. SMALL METHODS 2024; 8:e2400030. [PMID: 38716631 DOI: 10.1002/smtd.202400030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Revised: 04/16/2024] [Indexed: 08/18/2024]
Abstract
High-quality, low-cost, and rapid detection is essential for the society to reopen the economy during the critical period of transition from Coronavirus Disease 2019 (COVID-19) pandemic response to pandemic control. In addition to performing sustainable and target-driven tracking of SARS-CoV-2, conducting comprehensive surveillance of variants and multiple respiratory pathogens is also critical due to the frequency of reinfections, mutation immune escape, and the growing prevalence of the cocirculation of multiple viruses. By utilizing a 0.05 cents wax interface, a Stable Interface assisted Multiplex Pathogenesis Locating Estimation in Onepot (SIMPLEone) using nested RPA and CRISPR/Cas12a enzymatic reporting system is successfully developed. This smartphone-based SIMPLEone system achieves highly sensitive one-pot detection of SARS-CoV-2 and its variants, or multiple respiratory viruses, in 40 min. A total of 89 clinical samples, 14 environmental samples, and 20 cat swab samples are analyzed by SIMPLEone, demonstrating its excellent sensitivity (3-6 copies/reaction for non-extraction detection of swab and 100-150 copies/mL for RNA extraction-based assay), accuracy (>97.7%), and specificity (100%). Furthermore, a high percentage (44.2%) of co-infection cases are detected in SARS-CoV-2-infected patients using SIMPLEone's multiplex detection capability.
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Affiliation(s)
- Jiajia Liu
- School of Biomedical Engineering, Tsinghua University, Beijing, 100084, China
- CapitalBiotech Technology, Beijing, 101111, China
| | - Nan Li
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute of Chinese Academy of Sciences, Beijing, 100190, China
| | - Li Zhang
- School of Biomedical Engineering, Tsinghua University, Beijing, 100084, China
| | - Ying Lu
- School of Biomedical Engineering, Tsinghua University, Beijing, 100084, China
| | - Minjie Shen
- School of Biomedical Engineering, Tsinghua University, Beijing, 100084, China
| | - Yuanyue Zhang
- School of Biomedical Engineering, Tsinghua University, Beijing, 100084, China
| | - Li Feng
- CapitalBiotech Technology, Beijing, 101111, China
| | - Juhui Jing
- CapitalBiotech Technology, Beijing, 101111, China
| | - Jing Cheng
- School of Biomedical Engineering, Tsinghua University, Beijing, 100084, China
- National Engineering Research Center for Beijing Biochip Technology, Beijing, 102200, China
| | - Youchun Xu
- School of Biomedical Engineering, Tsinghua University, Beijing, 100084, China
- CapitalBiotech Technology, Beijing, 101111, China
- National Engineering Research Center for Beijing Biochip Technology, Beijing, 102200, China
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3
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Li X, Mi Z, Liu Z, Rong P. SARS-CoV-2: pathogenesis, therapeutics, variants, and vaccines. Front Microbiol 2024; 15:1334152. [PMID: 38939189 PMCID: PMC11208693 DOI: 10.3389/fmicb.2024.1334152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 05/29/2024] [Indexed: 06/29/2024] Open
Abstract
Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), emerged in December 2019 with staggering economic fallout and human suffering. The unique structure of SARS-CoV-2 and its underlying pathogenic mechanism were responsible for the global pandemic. In addition to the direct damage caused by the virus, SARS-CoV-2 triggers an abnormal immune response leading to a cytokine storm, culminating in acute respiratory distress syndrome and other fatal diseases that pose a significant challenge to clinicians. Therefore, potential treatments should focus not only on eliminating the virus but also on alleviating or controlling acute immune/inflammatory responses. Current management strategies for COVID-19 include preventative measures and supportive care, while the role of the host immune/inflammatory response in disease progression has largely been overlooked. Understanding the interaction between SARS-CoV-2 and its receptors, as well as the underlying pathogenesis, has proven to be helpful for disease prevention, early recognition of disease progression, vaccine development, and interventions aimed at reducing immunopathology have been shown to reduce adverse clinical outcomes and improve prognosis. Moreover, several key mutations in the SARS-CoV-2 genome sequence result in an enhanced binding affinity to the host cell receptor, or produce immune escape, leading to either increased virus transmissibility or virulence of variants that carry these mutations. This review characterizes the structural features of SARS-CoV-2, its variants, and their interaction with the immune system, emphasizing the role of dysfunctional immune responses and cytokine storm in disease progression. Additionally, potential therapeutic options are reviewed, providing critical insights into disease management, exploring effective approaches to deal with the public health crises caused by SARS-CoV-2.
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Affiliation(s)
- Xi Li
- Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Ze Mi
- Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Zhenguo Liu
- Department of Infectious Disease, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Pengfei Rong
- Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, China
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Khairnar K, Tomar SS. COVID-19 genome surveillance: A geographical landscape and mutational mapping of SARS-CoV-2 variants in central India over two years. Virus Res 2024; 344:199365. [PMID: 38527669 PMCID: PMC10998191 DOI: 10.1016/j.virusres.2024.199365] [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: 03/28/2023] [Revised: 03/21/2024] [Accepted: 03/22/2024] [Indexed: 03/27/2024]
Abstract
Reading the viral genome through whole genome sequencing (WGS) enables the detection of changes in the viral genome. The rapid changes in the SARS-CoV-2 viral genome may cause immune escape leading to an increase in the pathogenicity or infectivity. Monitoring mutations through genomic surveillance helps understand the amino acid changes resulting from the mutation. These amino acid changes, especially in the spike glycoprotein, may have implications on the pathogenicity of the virus by rendering it immune-escape. The region of Vidarbha in Maharashtra represents 31.6 % of the state's total area. It holds 21.3 % of the total population. In total, 7457 SARS-CoV-2 positive samples belonging to 16 Indian States were included in the study, out of which 3002 samples passed the sequencing quality control criteria. The metadata of 7457 SARS-CoV-2 positive samples included in the study was sourced from the Integrated Health Information Platform (IHIP). The metadata of 3002 sequenced samples, including the FASTA sequence, was submitted to the Global Initiative on Sharing Avian Influenza Data (GISAID) and the Indian biological data centre (IBDC). This study identified 104 different SARS-CoV-2 pango-lineages classified into 19 clades. We have also analysed the mutation profiles of the variants found in the study, which showed eight mutations of interest, including L18F, K417N, K417T, L452R, S477N, N501Y, P681H, P681R, and mutation of concern E484K in the spike glycoprotein region. The study was from November 2020 to December 2022, making this study the most comprehensive genomic surveillance of SARS-CoV-2 conducted for the region.
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Affiliation(s)
- Krishna Khairnar
- Environmental Epidemiology & Pandemic Management (EE&PM), Council of Scientific and Industrial Research-National Environmental Engineering Research Institute (CSIR-NEERI), Nagpur, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, UP, India.
| | - Siddharth Singh Tomar
- Environmental Epidemiology & Pandemic Management (EE&PM), Council of Scientific and Industrial Research-National Environmental Engineering Research Institute (CSIR-NEERI), Nagpur, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, UP, India
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5
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Pavia G, Quirino A, Marascio N, Veneziano C, Longhini F, Bruni A, Garofalo E, Pantanella M, Manno M, Gigliotti S, Giancotti A, Barreca GS, Branda F, Torti C, Rotundo S, Lionello R, La Gamba V, Berardelli L, Gullì SP, Trecarichi EM, Russo A, Palmieri C, De Marco C, Viglietto G, Casu M, Sanna D, Ciccozzi M, Scarpa F, Matera G. Persistence of SARS-CoV-2 infection and viral intra- and inter-host evolution in COVID-19 hospitalized patients. J Med Virol 2024; 96:e29708. [PMID: 38804179 DOI: 10.1002/jmv.29708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 05/11/2024] [Accepted: 05/14/2024] [Indexed: 05/29/2024]
Abstract
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) persistence in COVID-19 patients could play a key role in the emergence of variants of concern. The rapid intra-host evolution of SARS-CoV-2 may result in an increased transmissibility, immune and therapeutic escape which could be a direct consequence of COVID-19 epidemic currents. In this context, a longitudinal retrospective study on eight consecutive COVID-19 patients with persistent SARS-CoV-2 infection, from January 2022 to March 2023, was conducted. To characterize the intra- and inter-host viral evolution, whole genome sequencing and phylogenetic analysis were performed on nasopharyngeal samples collected at different time points. Phylogenetic reconstruction revealed an accelerated SARS-CoV-2 intra-host evolution and emergence of antigenically divergent variants. The Bayesian inference and principal coordinate analysis analysis showed a host-based genomic structuring among antigenically divergent variants, that might reflect the positive effect of containment practices, within the critical hospital area. All longitudinal antigenically divergent isolates shared a wide range of amino acidic (aa) changes, particularly in the Spike (S) glycoprotein, that increased viral transmissibility (K417N, S477N, N501Y and Q498R), enhanced infectivity (R346T, S373P, R408S, T478K, Q498R, Y505H, D614G, H655Y, N679K and P681H), caused host immune escape (S371L, S375F, T376A, K417N, and K444T/R) and displayed partial or complete resistance to treatments (G339D, R346K/T, S371F/L, S375F, T376A, D405N, N440K, G446S, N460K, E484A, F486V, Q493R, G496S and Q498R). These results suggest that multiple novel variants which emerge in the patient during persistent infection, might spread to another individual and continue to evolve. A pro-active genomic surveillance of persistent SARS-CoV-2 infected patients is recommended to identify genetically divergent lineages before their diffusion.
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Affiliation(s)
- Grazia Pavia
- Unit of Clinical Microbiology, Department of Health Sciences, "Magna Græcia" University Hospital, Catanzaro, Italy
| | - Angela Quirino
- Unit of Clinical Microbiology, Department of Health Sciences, "Magna Græcia" University Hospital, Catanzaro, Italy
| | - Nadia Marascio
- Unit of Clinical Microbiology, Department of Health Sciences, "Magna Græcia" University Hospital, Catanzaro, Italy
| | - Claudia Veneziano
- Department of Experimental and Clinical Medicine, "Magna Graecia" University of Catanzaro, Catanzaro, Italy
- Interdepartmental Center of Services (CIS), Molecular Genomics and Pathology, "Magna Græcia" University of Catanzaro, Catanzaro, Italy
| | - Federico Longhini
- Unit of Anesthesia and Intensive Care, Department of Medical and Surgical Sciences, "Magna Graecia" University, Catanzaro, Italy
| | - Andrea Bruni
- Unit of Anesthesia and Intensive Care, Department of Medical and Surgical Sciences, "Magna Graecia" University, Catanzaro, Italy
| | - Eugenio Garofalo
- Unit of Anesthesia and Intensive Care, Department of Medical and Surgical Sciences, "Magna Graecia" University, Catanzaro, Italy
| | - Marta Pantanella
- Unit of Clinical Microbiology, Department of Health Sciences, "Magna Græcia" University Hospital, Catanzaro, Italy
| | - Michele Manno
- Unit of Clinical Microbiology, Department of Health Sciences, "Magna Græcia" University Hospital, Catanzaro, Italy
| | - Simona Gigliotti
- Unit of Clinical Microbiology, Department of Health Sciences, "Magna Græcia" University Hospital, Catanzaro, Italy
| | - Aida Giancotti
- Unit of Clinical Microbiology, Department of Health Sciences, "Magna Græcia" University Hospital, Catanzaro, Italy
| | - Giorgio Settimo Barreca
- Unit of Clinical Microbiology, Department of Health Sciences, "Magna Græcia" University Hospital, Catanzaro, Italy
| | - Francesco Branda
- Unit of Medical Statistics and Molecular Epidemiology, Università Campus Bio-Medico di Roma, Rome, Italy
| | - Carlo Torti
- Dipartimento di Scienze di Laboratorio e Infettivologiche, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy
- Dipartimento di Sicurezza e Bioetica, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Salvatore Rotundo
- Unit of Infectious and Tropical Disease, Department of Medical and Surgical Sciences, "Magna Græcia" University Hospital, Catanzaro, Italy
| | - Rosaria Lionello
- Unit of Infectious and Tropical Disease, Department of Medical and Surgical Sciences, "Magna Græcia" University Hospital, Catanzaro, Italy
| | - Valentina La Gamba
- Unit of Infectious and Tropical Disease, Department of Medical and Surgical Sciences, "Magna Græcia" University Hospital, Catanzaro, Italy
| | - Lavinia Berardelli
- Unit of Infectious and Tropical Disease, Department of Medical and Surgical Sciences, "Magna Græcia" University Hospital, Catanzaro, Italy
| | - Sara Palma Gullì
- Unit of Infectious and Tropical Disease, Department of Medical and Surgical Sciences, "Magna Græcia" University Hospital, Catanzaro, Italy
| | - Enrico Maria Trecarichi
- Unit of Infectious and Tropical Disease, Department of Medical and Surgical Sciences, "Magna Græcia" University Hospital, Catanzaro, Italy
| | - Alessandro Russo
- Unit of Infectious and Tropical Disease, Department of Medical and Surgical Sciences, "Magna Græcia" University Hospital, Catanzaro, Italy
| | - Camillo Palmieri
- Department of Experimental and Clinical Medicine, "Magna Graecia" University of Catanzaro, Catanzaro, Italy
| | - Carmela De Marco
- Department of Experimental and Clinical Medicine, "Magna Graecia" University of Catanzaro, Catanzaro, Italy
- Interdepartmental Center of Services (CIS), Molecular Genomics and Pathology, "Magna Græcia" University of Catanzaro, Catanzaro, Italy
| | - Giuseppe Viglietto
- Department of Experimental and Clinical Medicine, "Magna Graecia" University of Catanzaro, Catanzaro, Italy
- Interdepartmental Center of Services (CIS), Molecular Genomics and Pathology, "Magna Græcia" University of Catanzaro, Catanzaro, Italy
| | - Marco Casu
- Department of Veterinary Medicine, University of Sassari, Sassari, Italy
| | - Daria Sanna
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Massimo Ciccozzi
- Unit of Medical Statistics and Molecular Epidemiology, Università Campus Bio-Medico di Roma, Rome, Italy
| | - Fabio Scarpa
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Giovanni Matera
- Unit of Clinical Microbiology, Department of Health Sciences, "Magna Græcia" University Hospital, Catanzaro, Italy
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Luo L, Lv J. An evolutionary theory on virus mutation in COVID-19. Virus Res 2024; 344:199358. [PMID: 38508401 PMCID: PMC10979259 DOI: 10.1016/j.virusres.2024.199358] [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: 11/15/2023] [Revised: 03/16/2024] [Accepted: 03/17/2024] [Indexed: 03/22/2024]
Abstract
With the rapid evolution of SARS-CoV-2, the emergence of new strains is an intriguing question. This paper presents an evolutionary theory to analyze the mutations of the virus and identify the conditions that lead to the generation of new strains. We represent the virus variants using a 4-letter sequence based on amino acid mutations on the spike protein and employ an n-distance algorithm to derive a variant phylogenetic tree. We show that the theoretically-derived tree aligns with experimental data on virus evolution. Additionally, we propose an A-X model, utilizing the set of existing mutation sites (A) and a set of randomly generated sites (X), to calculate the emergence of new strains. Our findings demonstrate that a sufficient number of random iterations can predict the generation of new macro-lineages when the number of sites in X is large enough. These results provide a crucial theoretical basis for understanding the evolution of SARS-CoV-2.
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Affiliation(s)
- Liaofu Luo
- Faculty of Physical Science and Technology, Inner Mongolia University, 235 West College Road, Hohhot 010021, China.
| | - Jun Lv
- College of Science, Inner Mongolia University of Technology, 49 Aymin Street, Hohhot 010051, China.
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7
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Sanz-Muñoz I, Castrodeza-Sanz J, Eiros JM. Potential Effects on Elderly People From Nirsevimab Use in Infants. OPEN RESPIRATORY ARCHIVES 2024; 6:100320. [PMID: 38617129 PMCID: PMC11015503 DOI: 10.1016/j.opresp.2024.100320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 03/10/2024] [Indexed: 04/16/2024] Open
Abstract
Nirsevimab therapy has the potential to revolutionize infant respiratory syncytial virus (RSV) prophylaxis. But other populations suffering RSV, such the elderly or those over 60, may also be protected by using this novel antibody in the infant group. It is true that some studies link the use of nirsevimab to a reduction in the virus's ability to spread by lowering the viral load in infants as a result of the drug's long half-life. However, this protective effect may not be very significant because RSV transmission in the elderly typically comes from other elderly people or from school-aged children. Furthermore, RSV may be transmitted at any time of the year and not just during the period of nirsevimab protection due to its existence in human reservoirs. The reasons made here show that, even though nirsevimab treatment in infants may protect the elderly, this benefit would be limited and testimonial. Therefore, immunizing the elderly with currently licensed and developing vaccines should be a priority.
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Affiliation(s)
- Iván Sanz-Muñoz
- National Influenza Centre, Valladolid, Spain
- Instituto de Estudios de Ciencias de la Salud de Castilla y León, ICSCYL, Soria, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFECC), Spain
| | - Javier Castrodeza-Sanz
- National Influenza Centre, Valladolid, Spain
- Preventive Medicine and Public Health Unit, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
- Preventive Medicine and Public Department, Faculty of Medicine, Universidad de Valladolid, Valladolid, Spain
| | - José M. Eiros
- National Influenza Centre, Valladolid, Spain
- Microbiology Unit, Hospital Universitario Río Hortega, Valladolid, Spain
- Microbiology Unit, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
- Microbiology Department, Faculty of Medicine, Universidad de Valladolid, Valladolid, Spain
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8
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Niu S, Zhao Z, Liu Z, Rong X, Chai Y, Bai B, Han P, Shang G, Ren J, Wang Y, Zhao X, Liu K, Tian WX, Wang Q, Gao GF. Structural basis and analysis of hamster ACE2 binding to different SARS-CoV-2 spike RBDs. J Virol 2024; 98:e0115723. [PMID: 38305152 PMCID: PMC10949455 DOI: 10.1128/jvi.01157-23] [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: 08/05/2023] [Accepted: 01/04/2024] [Indexed: 02/03/2024] Open
Abstract
Pet golden hamsters were first identified being infected with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) delta variant of concern (VOC) and transmitted the virus back to humans in Hong Kong in January 2022. Here, we studied the binding of two hamster (golden hamster and Chinese hamster) angiotensin-converting enzyme 2 (ACE2) proteins to the spike protein receptor-binding domains (RBDs) of SARS-CoV-2 prototype and eight variants, including alpha, beta, gamma, delta, and four omicron sub-variants (BA.1, BA.2, BA.3, and BA.4/BA.5). We found that the two hamster ACE2s present slightly lower affinity for the RBDs of all nine SARS-CoV-2 viruses tested than human ACE2 (hACE2). Furthermore, the similar infectivity to host cells expressing hamster ACE2s and hACE2 was confirmed with the nine pseudotyped SARS-CoV-2 viruses. Additionally, we determined two cryo-electron microscopy (EM) complex structures of golden hamster ACE2 (ghACE2)/delta RBD and ghACE2/omicron BA.3 RBD. The residues Q34 and N82, which exist in many rodent ACE2s, are responsible for the lower binding affinity of ghACE2 compared to hACE2. These findings suggest that all SARS-CoV-2 VOCs may infect hamsters, highlighting the necessity of further surveillance of SARS-CoV-2 in these animals.IMPORTANCESARS-CoV-2 can infect many domestic animals, including hamsters. There is an urgent need to understand the binding mechanism of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants to hamster receptors. Herein, we showed that two hamster angiotensin-converting enzyme 2s (ACE2s) (golden hamster ACE2 and Chinese hamster ACE2) can bind to the spike protein receptor-binding domains (RBDs) of SARS-CoV-2 prototype and eight variants and that pseudotyped SARS-CoV-2 viruses can infect hamster ACE2-expressing cells. The binding pattern of golden hamster ACE2 to SARS-CoV-2 RBDs is similar to that of Chinese hamster ACE2. The two hamster ACE2s present slightly lower affinity for the RBDs of all nine SARS-CoV-2 viruses tested than human ACE2. We solved the cryo-electron microscopy (EM) structures of golden hamster ACE2 in complex with delta RBD and omicron BA.3 RBD and found that residues Q34 and N82 are responsible for the lower binding affinity of ghACE2 compared to hACE2. Our work provides valuable information for understanding the cross-species transmission mechanism of SARS-CoV-2.
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Affiliation(s)
- Sheng Niu
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China
| | - Zhennan Zhao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Zhimin Liu
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China
| | - Xiaoyu Rong
- School of Laboratory Medicine and Life Science, Wenzhou Medical University, Wenzhou, China
| | - Yan Chai
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Bin Bai
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Pengcheng Han
- School of Medicine, Zhongda Hospital, Southeast University, Nanjing, China
| | - Guijun Shang
- Cryo-EM Center, Shanxi Academy of Advanced Research and Innovation, Taiyuan, China
| | - Jianle Ren
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China
| | - Ying Wang
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China
| | - Xin Zhao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Kefang Liu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Wen-xia Tian
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China
| | - Qihui Wang
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - George Fu Gao
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
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9
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Martínez-González B, Soria ME, Mínguez P, Lorenzo-Redondo R, Salar-Vidal L, López-García A, Esteban-Muñoz M, Durán-Pastor A, Somovilla P, García-Crespo C, de Ávila AI, Gómez J, Esteban J, Fernández-Roblas R, Gadea I, Domingo E, Perales C. SARS-CoV-2 mutant spectra as variant of concern nurseries: endless variation? Front Microbiol 2024; 15:1358258. [PMID: 38559344 PMCID: PMC10979541 DOI: 10.3389/fmicb.2024.1358258] [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: 12/19/2023] [Accepted: 02/21/2024] [Indexed: 04/04/2024] Open
Abstract
Introduction SARS-CoV-2 isolates of a given clade may contain low frequency genomes that encode amino acids or deletions which are typical of a different clade. Methods Here we use high resolution ultra-deep sequencing to analyze SARS-CoV-2 mutant spectra. Results In 6 out of 11 SARS-CoV-2 isolates from COVID-19 patients, the mutant spectrum of the spike (S)-coding region included two or more amino acids or deletions, that correspond to discordant viral clades. A similar observation is reported for laboratory populations of SARS-CoV-2 USA-WA1/2020, following a cell culture infection in the presence of remdesivir, ribavirin or their combinations. Moreover, some of the clade-discordant genome residues are found in the same haplotype within an amplicon. Discussion We evaluate possible interpretations of these findings, and reviewed precedents for rapid selection of genomes with multiple mutations in RNA viruses. These considerations suggest that intra-host evolution may be sufficient to generate minority sequences which are closely related to sequences typical of other clades. The results provide a model for the origin of variants of concern during epidemic spread─in particular Omicron lineages─that does not require prolonged infection, involvement of immunocompromised individuals, or participation of intermediate, non-human hosts.
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Affiliation(s)
- Brenda Martínez-González
- Department of Molecular and Cell Biology, Centro Nacional de Biotecnología (CNB-CSIC), Consejo Superior de Investigaciones Científicas (CSIC), Campus de Cantoblanco, Madrid, Spain
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
| | - María Eugenia Soria
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
- Centro de Biología Molecular “Severo Ochoa” (CSIC-UAM), Campus de Cantoblanco, Madrid, Spain
| | - Pablo Mínguez
- Department of Genetics and Genomics, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
- Centre for Biomedical Network Research on Rare Diseases (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
- Bioinformatics Unit, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
| | - Ramón Lorenzo-Redondo
- Division of Infectious Diseases, Center for Pathogen Genomics and Microbial Evolution, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Llanos Salar-Vidal
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
- Centre for Biomedical Network Research on Infectious Diseases (CIBERINFEC), Madrid, Spain
| | - Alberto López-García
- Health Research Institute IIS-FJD, Fundación Jiménez Diaz University Hospital, Madrid, Spain
| | - Mario Esteban-Muñoz
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
| | - Antoni Durán-Pastor
- Department of Molecular and Cell Biology, Centro Nacional de Biotecnología (CNB-CSIC), Consejo Superior de Investigaciones Científicas (CSIC), Campus de Cantoblanco, Madrid, Spain
| | - Pilar Somovilla
- Centro de Biología Molecular “Severo Ochoa” (CSIC-UAM), Campus de Cantoblanco, Madrid, Spain
- Departamento de Biología Molecular, Universidad Autónoma de Madrid, Campus de Cantoblanco, Madrid, Spain
| | - Carlos García-Crespo
- Centro de Biología Molecular “Severo Ochoa” (CSIC-UAM), Campus de Cantoblanco, Madrid, Spain
| | - Ana Isabel de Ávila
- Centro de Biología Molecular “Severo Ochoa” (CSIC-UAM), Campus de Cantoblanco, Madrid, Spain
| | - Jordi Gómez
- Instituto de Parasitología y Biomedicina “López-Neyra” (CSIC), Parque Tecnológico Ciencias de la Salud, Granada, Spain
| | - Jaime Esteban
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
- Centre for Biomedical Network Research on Infectious Diseases (CIBERINFEC), Madrid, Spain
| | - Ricardo Fernández-Roblas
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
- Centre for Biomedical Network Research on Infectious Diseases (CIBERINFEC), Madrid, Spain
| | - Ignacio Gadea
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
- Centre for Biomedical Network Research on Infectious Diseases (CIBERINFEC), Madrid, Spain
| | - Esteban Domingo
- Centro de Biología Molecular “Severo Ochoa” (CSIC-UAM), Campus de Cantoblanco, Madrid, Spain
| | - Celia Perales
- Department of Molecular and Cell Biology, Centro Nacional de Biotecnología (CNB-CSIC), Consejo Superior de Investigaciones Científicas (CSIC), Campus de Cantoblanco, Madrid, Spain
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
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10
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Lee ED, Kempes CP, West GB. Idea engines: Unifying innovation & obsolescence from markets & genetic evolution to science. Proc Natl Acad Sci U S A 2024; 121:e2312468120. [PMID: 38306477 PMCID: PMC10861874 DOI: 10.1073/pnas.2312468120] [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: 07/21/2023] [Accepted: 11/04/2023] [Indexed: 02/04/2024] Open
Abstract
Innovation and obsolescence describe dynamics of ever-churning and adapting social and biological systems, concepts that encompass field-specific formulations. We formalize the connection with a reduced model of the dynamics of the "space of the possible" (e.g., technologies, mutations, theories) to which agents (e.g., firms, organisms, scientists) couple as they grow, die, and replicate. We predict three regimes: The space is finite, ever growing, or a Schumpeterian dystopia in which obsolescence drives the system to collapse. We reveal a critical boundary at which the space of the possible fluctuates dramatically in size, displaying recurrent periods of minimal and of veritable diversity. When the space is finite, corresponding to physically realizable systems, we find surprising structure. This structure predicts a taxonomy for the density of agents near and away from the innovative frontier that we compare with distributions of firm productivity, COVID diversity, and citation rates for scientific publications. Our minimal model derived from first principles aligns with empirical examples, implying a follow-the-leader dynamic in firm cost efficiency and biological evolution, whereas scientific progress reflects consensus that waits on old ideas to go obsolete. Our theory introduces a fresh and empirically testable framework for unifying innovation and obsolescence across fields.
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11
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Gopcsa L, Réti M, Andrikovics H, Bobek I, Bekő G, Bogyó J, Ceglédi A, Dobos K, Giba-Kiss L, Jankovics I, Kis O, Lakatos B, Mathiász D, Meggyesi N, Miskolczi G, Németh N, Paksi M, Riczu A, Sinkó J, Szabó B, Szilvási A, Szlávik J, Tasnády S, Reményi P, Vályi-Nagy I. Effective virus-specific T-cell therapy for high-risk SARS-CoV-2 infections in hematopoietic stem cell transplant recipients: initial case studies and literature review. GeroScience 2024; 46:1083-1106. [PMID: 37414968 PMCID: PMC10828167 DOI: 10.1007/s11357-023-00858-7] [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: 04/24/2023] [Accepted: 06/20/2023] [Indexed: 07/08/2023] Open
Abstract
The COVID-19 pandemic has exacerbated mortality rates among immunocompromised patients, accentuating the need for novel, targeted therapies. Transplant recipients, with their inherent immune vulnerabilities, represent a subgroup at significantly heightened risk. Current conventional therapies often demonstrate limited effectiveness in these patients, calling for innovative treatment approaches. In immunocompromised transplant recipients, several viral infections have been successfully treated by adoptive transfer of virus-specific T-cells (VST). This paper details the successful application of SARS-CoV-2-specific memory T-cell therapy, produced by an interferon-γ cytokine capture system (CliniMACS® Prodigy device), in three stem cell transplant recipients diagnosed with COVID-19 (case 1: alpha variant, cases 2 and 3: delta variants). These patients exhibited persistent SARS-CoV-2 PCR positivity accompanied by bilateral pulmonary infiltrates and demonstrated only partial response to standard treatments. Remarkably, all three patients recovered and achieved viral clearance within 3 to 9 weeks post-VST treatment. Laboratory follow-up investigations identified an increase in SARS-CoV-2-specific T-cells in two of the cases. A robust anti-SARS-CoV-2 S (S1/S2) IgG serological response was also recorded, albeit with varying titers. The induction of memory T-cells within the CD4 + compartment was confirmed, and previously elevated interleukin-6 (IL-6) and IL-8 levels normalized post-VST therapy. The treatment was well tolerated with no observed adverse effects. While the need for specialized equipment and costs associated with VST therapy present potential challenges, the limited treatment options currently available for COVID-19 within the allogeneic stem cell transplant population, combined with the risk posed by emerging SARS-CoV-2 mutations, underscore the potential of VST therapy in future clinical practice. This therapeutic approach may be particularly beneficial for elderly patients with multiple comorbidities and weakened immune systems.
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Affiliation(s)
- László Gopcsa
- Department of Hematology and Stem Cell Transplantation, Central Hospital of Southern-Pest, National Institute of Hematology and Infectious Diseases, 1 Nagyvárad Square, P.B. 1097, Budapest, Hungary.
| | - Marienn Réti
- Department of Hematology and Stem Cell Transplantation, Central Hospital of Southern-Pest, National Institute of Hematology and Infectious Diseases, 1 Nagyvárad Square, P.B. 1097, Budapest, Hungary
| | - Hajnalka Andrikovics
- Laboratory of Molecular Genetics, Central Hospital of Southern-Pest, National Institute of Hematology and Infectious Diseases, Budapest, Hungary
| | - Ilona Bobek
- Department of Intensive Care Unit, Central Hospital of Southern-Pest, National Institute of Hematology and Infectious Diseases, Budapest, Hungary
| | - Gabriella Bekő
- Department of Central Laboratory, Central Hospital of Southern-Pest, National Institute of Hematology and Infectious Diseases, Budapest, Hungary
| | - Judit Bogyó
- Hungarian National Blood Transfusion Service, Karolina Út 19-21, 1113, Budapest, Hungary
| | - Andrea Ceglédi
- Department of Hematology and Stem Cell Transplantation, Central Hospital of Southern-Pest, National Institute of Hematology and Infectious Diseases, 1 Nagyvárad Square, P.B. 1097, Budapest, Hungary
| | - Katalin Dobos
- Department of Hematology and Stem Cell Transplantation, Central Hospital of Southern-Pest, National Institute of Hematology and Infectious Diseases, 1 Nagyvárad Square, P.B. 1097, Budapest, Hungary
| | - Laura Giba-Kiss
- Department of Hematology and Stem Cell Transplantation, Central Hospital of Southern-Pest, National Institute of Hematology and Infectious Diseases, 1 Nagyvárad Square, P.B. 1097, Budapest, Hungary
| | - István Jankovics
- National Public Health and Medical Officer Service, Albert Florian Út 2-6, 1097, Budapest, Hungary
| | - Orsolya Kis
- Department of Intensive Care Unit, Central Hospital of Southern-Pest, National Institute of Hematology and Infectious Diseases, Budapest, Hungary
| | - Botond Lakatos
- Department of Infectious Diseases, Central Hospital of Southern-Pest, National Institute of Hematology and Infectious Diseases, Budapest, Hungary
| | - Dóra Mathiász
- Department of Hematology and Stem Cell Transplantation, Central Hospital of Southern-Pest, National Institute of Hematology and Infectious Diseases, 1 Nagyvárad Square, P.B. 1097, Budapest, Hungary
| | - Nóra Meggyesi
- Laboratory of Molecular Genetics, Central Hospital of Southern-Pest, National Institute of Hematology and Infectious Diseases, Budapest, Hungary
| | - Gottfried Miskolczi
- Department of Central Laboratory, Central Hospital of Southern-Pest, National Institute of Hematology and Infectious Diseases, Budapest, Hungary
| | - Noémi Németh
- Department of Hematology and Stem Cell Transplantation, Central Hospital of Southern-Pest, National Institute of Hematology and Infectious Diseases, 1 Nagyvárad Square, P.B. 1097, Budapest, Hungary
| | - Melinda Paksi
- Department of Hematology and Stem Cell Transplantation, Central Hospital of Southern-Pest, National Institute of Hematology and Infectious Diseases, 1 Nagyvárad Square, P.B. 1097, Budapest, Hungary
| | - Alexandra Riczu
- Department of Infectious Diseases, Central Hospital of Southern-Pest, National Institute of Hematology and Infectious Diseases, Budapest, Hungary
| | - János Sinkó
- Department of Hematology and Stem Cell Transplantation, Central Hospital of Southern-Pest, National Institute of Hematology and Infectious Diseases, 1 Nagyvárad Square, P.B. 1097, Budapest, Hungary
| | - Bálint Szabó
- Department of Hematology and Stem Cell Transplantation, Central Hospital of Southern-Pest, National Institute of Hematology and Infectious Diseases, 1 Nagyvárad Square, P.B. 1097, Budapest, Hungary
| | - Anikó Szilvási
- Hungarian National Blood Transfusion Service, Karolina Út 19-21, 1113, Budapest, Hungary
| | - János Szlávik
- Department of Infectious Diseases, Central Hospital of Southern-Pest, National Institute of Hematology and Infectious Diseases, Budapest, Hungary
| | - Szabolcs Tasnády
- Department of Central Laboratory, Central Hospital of Southern-Pest, National Institute of Hematology and Infectious Diseases, Budapest, Hungary
| | - Péter Reményi
- Department of Hematology and Stem Cell Transplantation, Central Hospital of Southern-Pest, National Institute of Hematology and Infectious Diseases, 1 Nagyvárad Square, P.B. 1097, Budapest, Hungary
| | - István Vályi-Nagy
- Department of Hematology and Stem Cell Transplantation, Central Hospital of Southern-Pest, National Institute of Hematology and Infectious Diseases, 1 Nagyvárad Square, P.B. 1097, Budapest, Hungary
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12
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Wang Y, Ye M, Zhang F, Freeman ZT, Yu H, Ye X, He Y. Ontology-based taxonomical analysis of experimentally verified natural and laboratory human coronavirus hosts and its implication for COVID-19 virus origination and transmission. PLoS One 2024; 19:e0295541. [PMID: 38252647 PMCID: PMC10802970 DOI: 10.1371/journal.pone.0295541] [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: 04/25/2023] [Accepted: 11/26/2023] [Indexed: 01/24/2024] Open
Abstract
To fully understand COVID-19, it is critical to study all possible hosts of SARS-CoV-2 (the pathogen of COVID-19). In this work, we collected, annotated, and performed ontology-based taxonomical analysis of all the reported and verified hosts for all human coronaviruses including SARS-CoV, MERS-CoV, SARS-CoV-2, HCoV-229E, HCoV-NL63, HCoV-OC43, and HCoV-HKU1. A total of 37 natural hosts and 19 laboratory animal hosts of human coronaviruses were identified based on experimental evidence. Our analysis found that all the verified susceptible natural and laboratory animals belong to therian mammals. Specifically, these 37 natural therian hosts include one wildlife marsupial mammal (i.e., Virginia opossum) and 36 Eutheria mammals (a.k.a. placental mammals). The 19 laboratory animal hosts are also classified as therian mammals. The mouse models with genetically modified human ACE2 or DPP4 were more susceptible to virulent human coronaviruses with clear symptoms, suggesting the critical role of ACE2 and DPP4 to coronavirus virulence. Coronaviruses became more virulent and adaptive in the mouse hosts after a series of viral passages in the mice, providing clue to the possible coronavirus origination. The Huanan Seafood Wholesale Market animals identified early in the COVID-19 outbreak were also systematically analyzed as possible COVID-19 hosts. To support knowledge standardization and query, the annotated host knowledge was modeled and represented in the Coronavirus Infectious Disease Ontology (CIDO). Based on our and others' findings, we further propose a MOVIE model (i.e., Multiple-Organism viral Variations and Immune Evasion) to address how viral variations in therian animal hosts and the host immune evasion might have led to dynamic COVID-19 pandemic outcomes.
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Affiliation(s)
- Yang Wang
- Guizhou University School of Medicine, Guiyang, Guizhou, China
- Department of Respiratory and Critical Care Medicine, Guizhou Provincial People’s Hospital and NHC Key Laboratory of Immunological Diseases, People’s Hospital of Guizhou University, Guiyang, Guizhou, China
- Unit for Laboratory Animal Medicine, University of Michigan Medical School, Ann Arbor, MI, United States of America
| | - Muhui Ye
- Chinese University of Hong Kong (Shenzhen), Shenzhen, Guangdong, China
| | - Fengwei Zhang
- Guizhou University School of Medicine, Guiyang, Guizhou, China
| | - Zachary Thomas Freeman
- Unit for Laboratory Animal Medicine, University of Michigan Medical School, Ann Arbor, MI, United States of America
| | - Hong Yu
- Guizhou University School of Medicine, Guiyang, Guizhou, China
- Department of Respiratory and Critical Care Medicine, Guizhou Provincial People’s Hospital and NHC Key Laboratory of Immunological Diseases, People’s Hospital of Guizhou University, Guiyang, Guizhou, China
| | - Xianwei Ye
- Guizhou University School of Medicine, Guiyang, Guizhou, China
- Department of Respiratory and Critical Care Medicine, Guizhou Provincial People’s Hospital and NHC Key Laboratory of Immunological Diseases, People’s Hospital of Guizhou University, Guiyang, Guizhou, China
| | - Yongqun He
- Unit for Laboratory Animal Medicine, University of Michigan Medical School, Ann Arbor, MI, United States of America
- Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI, United States of America
- Center for Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, United States of America
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13
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Zhao J, Kang M, Wu H, Sun B, Baele G, He WT, Lu M, Suchard MA, Ji X, He N, Su S, Veit M. Risk assessment of SARS-CoV-2 replicating and evolving in animals. Trends Microbiol 2024; 32:79-92. [PMID: 37541811 DOI: 10.1016/j.tim.2023.07.002] [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: 03/16/2023] [Revised: 07/03/2023] [Accepted: 07/05/2023] [Indexed: 08/06/2023]
Abstract
The retransmissions of SARS-CoV-2 from several mammals - primarily mink and white-tailed deer - to humans have raised concerns for the emergence of a new animal-derived SARS-CoV-2 variant to worsen the pandemic. Here, we discuss animal species that are susceptible to natural or experimental infection with SARS-CoV-2 and can transmit the virus to mates or humans. We describe cutting-edge techniques to assess the impact of a mutation in the viral spike (S) protein on its receptor and on antibody binding. Our review of spike sequences of animal-derived viruses identified nine unique amino acid exchanges in the receptor-binding domain (RBD) that are not present in any variant of concern (VOC). These mutations are present in SARS-CoV-2 found in companion animals such as dogs and cats, and they exhibit a higher frequency in SARS-CoV-2 found in mink and white-tailed deer, suggesting that sustained transmissions may contribute to maintaining novel mutations. Four of these exchanges, such as Leu452Met, could undermine acquired immune protection in humans while maintaining high affinity for the human angiotensin-converting enzyme 2 (ACE2) receptor. Finally, we discuss important avenues of future research into animal-derived viruses with public health risks.
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Affiliation(s)
- Jin Zhao
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China
| | - Mei Kang
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China; Clinical Research Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hongyan Wu
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China
| | - Bowen Sun
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China
| | - Guy Baele
- Department of Microbiology, Immunology, and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium
| | - Wan-Ting He
- School of Pharmacy, China Pharmaceutical University, Nanjing, China.
| | - Meng Lu
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China
| | - Marc A Suchard
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA; Department of Biomathematics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Xiang Ji
- Department of Mathematics, School of Science and Engineering, Tulane University, New Orleans, LA, USA
| | - Na He
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China
| | - Shuo Su
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China.
| | - Michael Veit
- Institute for Virology, Center for Infection Medicine, Veterinary Faculty, Free University Berlin, Berlin, Germany.
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14
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Rajput V, Pramanik R, Malik V, Yadav R, Samson R, Kadam P, Bhalerao U, Tupekar M, Deshpande D, Shah P, Shashidhara LS, Boargaonkar R, Patil D, Kale S, Bhalerao A, Jain N, Kamble S, Dastager S, Karmodiya K, Dharne M. Genomic surveillance reveals early detection and transition of delta to omicron lineages of SARS-CoV-2 variants in wastewater treatment plants of Pune, India. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:118976-118988. [PMID: 37922087 DOI: 10.1007/s11356-023-30709-z] [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: 06/27/2023] [Accepted: 10/23/2023] [Indexed: 11/05/2023]
Abstract
The COVID-19 pandemic has emphasized the urgency for rapid public health surveillance methods to detect and monitor the transmission of infectious diseases. The wastewater-based epidemiology (WBE) has emerged as a promising tool for proactive analysis and quantification of infectious pathogens within a population before clinical cases emerge. In the present study, we aimed to assess the trend and dynamics of SARS-CoV-2 variants using a longitudinal approach. Our objective included early detection and monitoring of these variants to enhance our understanding of their prevalence and potential impact. To achieve our goals, we conducted real-time quantitative polymerase chain reaction (RT-qPCR) and Illumina sequencing on 442 wastewater (WW) samples collected from 10 sewage treatment plants (STPs) in Pune city, India, spanning from November 2021 to April 2022. Our comprehensive analysis identified 426 distinct lineages representing 17 highly transmissible variants of SARS-CoV-2. Notably, fragments of Omicron variant were detected in WW samples prior to its first clinical detection in Botswana. Furthermore, we observed highly contagious sub-lineages of the Omicron variant, including BA.1 (~28%), BA.1.X (1.0-72%), BA.2 (1.0-18%), BA.2.X (1.0-97.4%) BA.2.12 (0.8-0.25%), BA.2.38 (0.8-1.0%), BA.2.75 (0.01-0.02%), BA.3 (0.09-6.3%), BA.4 (0.24-0.29%), and XBB (0.01-21.83%), with varying prevalence rates. Overall, the present study demonstrated the practicality of WBE in the early detection of SARS-CoV-2 variants, which could help track future outbreaks of SARS-CoV-2. Such approaches could be implicated in monitoring infectious agents before they appear in clinical cases.
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Affiliation(s)
- Vinay Rajput
- National Collection of Industrial Microorganisms (NCIM), Biochemical Sciences Division, CSIR-National Chemical Laboratory (NCL), Pune, Maharashtra, 411008, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Rinka Pramanik
- National Collection of Industrial Microorganisms (NCIM), Biochemical Sciences Division, CSIR-National Chemical Laboratory (NCL), Pune, Maharashtra, 411008, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Vinita Malik
- National Collection of Industrial Microorganisms (NCIM), Biochemical Sciences Division, CSIR-National Chemical Laboratory (NCL), Pune, Maharashtra, 411008, India
| | - Rakeshkumar Yadav
- National Collection of Industrial Microorganisms (NCIM), Biochemical Sciences Division, CSIR-National Chemical Laboratory (NCL), Pune, Maharashtra, 411008, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Rachel Samson
- National Collection of Industrial Microorganisms (NCIM), Biochemical Sciences Division, CSIR-National Chemical Laboratory (NCL), Pune, Maharashtra, 411008, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Pradnya Kadam
- Department of Biology, Indian Institute of Science Education and Research (IISER), Pune, Maharashtra, 41108, India
| | - Unnati Bhalerao
- Department of Biology, Indian Institute of Science Education and Research (IISER), Pune, Maharashtra, 41108, India
| | - Manisha Tupekar
- Department of Biology, Indian Institute of Science Education and Research (IISER), Pune, Maharashtra, 41108, India
| | - Dipti Deshpande
- Department of Biology, Indian Institute of Science Education and Research (IISER), Pune, Maharashtra, 41108, India
| | - Priyanki Shah
- The Pune Knowledge Cluster (PKC), Savitribai Phule Pune University (SPPU), Pune, Maharashtra, India
| | - L S Shashidhara
- Department of Biology, Indian Institute of Science Education and Research (IISER), Pune, Maharashtra, 41108, India
- The Pune Knowledge Cluster (PKC), Savitribai Phule Pune University (SPPU), Pune, Maharashtra, India
| | | | - Dhawal Patil
- Ecosan Services Foundation (ESF), Pune, Maharashtra, 411030, India
| | - Saurabh Kale
- Ecosan Services Foundation (ESF), Pune, Maharashtra, 411030, India
| | - Asim Bhalerao
- Fluid Robotics Private Limited (FRPL), Pune, Maharashtra, 411052, India
| | - Nidhi Jain
- Fluid Robotics Private Limited (FRPL), Pune, Maharashtra, 411052, India
| | - Sanjay Kamble
- Chemical Engineering and Process Development Division, CSIR-National Chemical Laboratory, Pune, Maharashtra, 411008, India
| | - Syed Dastager
- National Collection of Industrial Microorganisms (NCIM), Biochemical Sciences Division, CSIR-National Chemical Laboratory (NCL), Pune, Maharashtra, 411008, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Krishanpal Karmodiya
- Department of Biology, Indian Institute of Science Education and Research (IISER), Pune, Maharashtra, 41108, India
| | - Mahesh Dharne
- National Collection of Industrial Microorganisms (NCIM), Biochemical Sciences Division, CSIR-National Chemical Laboratory (NCL), Pune, Maharashtra, 411008, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India.
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15
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Hyug Choi J, Sook Jun M, Yong Jeon J, Kim HS, Kyung Kim Y, Ho Jeon C, Hwan Choi S, Sun Kim D, Han MH, Won Oh J. Global lineage evolution pattern of sars-cov-2 in Africa, America, Europe, and Asia: A comparative analysis of variant clusters and their relevance across continents. J Transl Int Med 2023; 11:410-422. [PMID: 38130632 PMCID: PMC10732492 DOI: 10.2478/jtim-2023-0118] [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] [Indexed: 12/23/2023] Open
Abstract
Objective The objective of this study is to provide a comparative analysis of variant clusters and their relevance across Africa, America, Europe, and Asia, in order to understand the evolutionary patterns of the virus across different regions and to inform the development of targeted interventions and genomic surveillance eforts. Methods The study analyzed the global lineage evolution pattern of 74, 075 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes from 32 countries across four continents, focusing on variant clusters and their relevance across regions. Variants were weighted according to their hierarchical level. The correlation between variants was visualized through Dimensionality reduction analysis and Pairwise Pearson's correlation. We presented a reconstructed phylogenetic tree based on correlation analysis and variant weights. Results The analysis revealed that each continent had distinct variant clusters and different evolutionary patterns. The Americas had two clustered variants before lineage divergence and a downstream confluence lineage, Europe had bifurcation into two global lineages with an early occurrence of certain cluster while Asia had a downstream confluence of two large lineages diverging by two distinct clusters. Based on the cluster patterns of shared variants of the SARS-CoV-2 virus, Africa demonstrated a relatively clear distinction among three distinct regions. Conclusions The study provides insights into the evolutionary patterns of SARS-CoV-2 and highlights the importance of international collaboration in tracking and responding to emerging variants. The study found that the global pandemic was driven by Omicron variants that evolved with significant differences between countries and regions, and with different patterns across continents.
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Affiliation(s)
- June Hyug Choi
- Department of Anatomy, BK21 FOUR KNU Convergence Educational Program of Biomedical Sciences for Creative Future Talents, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Mee Sook Jun
- Department of Internal Medicine, Chungbuk National University, Cheongju, Yonsei University-Industry Foundation, Seoul, Republic of Korea
| | | | - Hae-Suk Kim
- Theragen Bio Co., Ltd., Seongnam-si, Republic of Korea
| | - Yu Kyung Kim
- Department of Clinical Pathology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Chang Ho Jeon
- Department of Laboratory Medicine, Catholic University of Daegu School of Medicine, Daegu, Republic of Korea
| | - Seock Hwan Choi
- Department of Urology, School of Medicine, BioMedical Research Institute, Kyungpook National University Hospital, Kyungpook National University, Daegu, Republic of Korea
| | - Dong Sun Kim
- Department of Anatomy, BK21 FOUR KNU Convergence Educational Program of Biomedical Sciences for Creative Future Talents, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Man-Hoon Han
- Department of Pathology, School of Medicine, BioMedical Research Institute, Kyungpook National University Hospital, Kyungpook National University, Daegu, Republic of Korea
| | - Ji Won Oh
- Department of Anatomy, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea
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16
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Roemer C, Sheward DJ, Hisner R, Gueli F, Sakaguchi H, Frohberg N, Schoenmakers J, Sato K, O'Toole Á, Rambaut A, Pybus OG, Ruis C, Murrell B, Peacock TP. SARS-CoV-2 evolution in the Omicron era. Nat Microbiol 2023; 8:1952-1959. [PMID: 37845314 DOI: 10.1038/s41564-023-01504-w] [Citation(s) in RCA: 28] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 09/13/2023] [Indexed: 10/18/2023]
Abstract
Since SARS-CoV-2 BA.5 (Omicron) emerged and spread in 2022, Omicron lineages have markedly diversified. Here we review the evolutionary trajectories and processes that underpin the emergence of these lineages, and identify the most prevalent sublineages. We discuss the potential origins of second-generation BA.2 lineages. Simple and complex recombination, antigenic drift and convergent evolution have enabled SARS-CoV-2 to accumulate mutations that alter its antigenicity. We also discuss the potential evolutionary trajectories of SARS-CoV-2 in the future.
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Affiliation(s)
- Cornelius Roemer
- Biozentrum, University of Basel, Basel, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Daniel J Sheward
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - Ryan Hisner
- University of Cape Town, Rondebosch, South Africa
| | | | | | | | | | - Kenta Sato
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - Áine O'Toole
- Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, UK
| | - Andrew Rambaut
- Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, UK
| | - Oliver G Pybus
- Department of Biology, University of Oxford, Oxford, UK
- Department of Pathobiology and Population Science, Royal Veterinary College, London, UK
| | - Christopher Ruis
- Molecular Immunity Unit, Department of Medicine, University of Cambridge, MRC Laboratory of Molecular Biology, Cambridge, UK
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
- Cambridge Centre for AI in Medicine, University of Cambridge, Cambridge, UK
| | - Ben Murrell
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - Thomas P Peacock
- Department of Infectious Disease, Imperial College London, London, UK.
- The Pirbright Institute, Woking, UK.
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17
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Seghezzo G, Nash SG, Aziz NA, Hope R, Bernal JL, Gallagher E, Dabrera G, Thelwall S. Risk of severe outcomes among Omicron sub-lineages BA.4.6, BA.2.75, and BQ.1 compared to BA.5 in England. Epidemiol Infect 2023; 151:e189. [PMID: 37905583 PMCID: PMC10728974 DOI: 10.1017/s0950268823001760] [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: 07/14/2023] [Revised: 09/19/2023] [Accepted: 10/16/2023] [Indexed: 11/02/2023] Open
Abstract
Since the emergence of Omicron variant of SARS-CoV-2 in late 2021, a number of sub-lineages have arisen and circulated internationally. Little is known about the relative severity of Omicron sub-lineages BA.2.75, BA.4.6, and BQ.1. We undertook a case-control analysis to determine the clinical severity of these lineages relative to BA.5, using whole genome sequenced, PCR-confirmed infections, between 1 August 2022 and 27 November 2022, among those who presented to emergency care in England 14 days after and up to one day prior to the positive specimen. A total of 10,375 episodes were included in the analysis; of which, 5,207 (50.2%) were admitted to the hospital or died. Multivariable conditional regression analyses found no evidence of greater odds of hospital admission or death among those with BA.2.75 (odds ratio (OR) = 0.96, 95% confidence interval (CI): 0.84-1.09) and BA.4.6 (OR = 1.02, 95% CI: 0.88- 1.17) or BQ.1 (OR = 1.03, 95% CI: 0.94-1.13) compared to BA.5. Future lineages may not follow the same trend and there remains a need for continued surveillance of COVID-19 variants and their clinical outcomes to inform the public health response.
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Affiliation(s)
- Giulia Seghezzo
- COVID-19 Vaccines and Epidemiology Division, UK Health Security Agency, London, UK
| | - Sophie G. Nash
- COVID-19 Vaccines and Epidemiology Division, UK Health Security Agency, London, UK
| | - Nurin A. Aziz
- COVID-19 Vaccines and Epidemiology Division, UK Health Security Agency, London, UK
| | - Russell Hope
- HCAI, Fungal, AMR, AMU & Sepsis Division, UK Health Security Agency, London, UK
| | - Jamie L. Bernal
- COVID-19 Surveillance Cell, UK Health Security Agency, London, UK
- NIHR Health Protection Research Unit for Respiratory Infections, London, UK
| | - Eileen Gallagher
- Genomics and Public Health Analysis, UK Health Security Agency, London, UK
| | - Gavin Dabrera
- COVID-19 Vaccines and Epidemiology Division, UK Health Security Agency, London, UK
| | - Simon Thelwall
- COVID-19 Vaccines and Epidemiology Division, UK Health Security Agency, London, UK
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18
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Bouhaddou M, Reuschl AK, Polacco BJ, Thorne LG, Ummadi MR, Ye C, Rosales R, Pelin A, Batra J, Jang GM, Xu J, Moen JM, Richards AL, Zhou Y, Harjai B, Stevenson E, Rojc A, Ragazzini R, Whelan MVX, Furnon W, De Lorenzo G, Cowton V, Syed AM, Ciling A, Deutsch N, Pirak D, Dowgier G, Mesner D, Turner JL, McGovern BL, Rodriguez ML, Leiva-Rebollo R, Dunham AS, Zhong X, Eckhardt M, Fossati A, Liotta NF, Kehrer T, Cupic A, Rutkowska M, Mena I, Aslam S, Hoffert A, Foussard H, Olwal CO, Huang W, Zwaka T, Pham J, Lyons M, Donohue L, Griffin A, Nugent R, Holden K, Deans R, Aviles P, Lopez-Martin JA, Jimeno JM, Obernier K, Fabius JM, Soucheray M, Hüttenhain R, Jungreis I, Kellis M, Echeverria I, Verba K, Bonfanti P, Beltrao P, Sharan R, Doudna JA, Martinez-Sobrido L, Patel AH, Palmarini M, Miorin L, White K, Swaney DL, Garcia-Sastre A, Jolly C, Zuliani-Alvarez L, Towers GJ, Krogan NJ. SARS-CoV-2 variants evolve convergent strategies to remodel the host response. Cell 2023; 186:4597-4614.e26. [PMID: 37738970 PMCID: PMC10604369 DOI: 10.1016/j.cell.2023.08.026] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 05/22/2023] [Accepted: 08/22/2023] [Indexed: 09/24/2023]
Abstract
SARS-CoV-2 variants of concern (VOCs) emerged during the COVID-19 pandemic. Here, we used unbiased systems approaches to study the host-selective forces driving VOC evolution. We discovered that VOCs evolved convergent strategies to remodel the host by modulating viral RNA and protein levels, altering viral and host protein phosphorylation, and rewiring virus-host protein-protein interactions. Integrative computational analyses revealed that although Alpha, Beta, Gamma, and Delta ultimately converged to suppress interferon-stimulated genes (ISGs), Omicron BA.1 did not. ISG suppression correlated with the expression of viral innate immune antagonist proteins, including Orf6, N, and Orf9b, which we mapped to specific mutations. Later Omicron subvariants BA.4 and BA.5 more potently suppressed innate immunity than early subvariant BA.1, which correlated with Orf6 levels, although muted in BA.4 by a mutation that disrupts the Orf6-nuclear pore interaction. Our findings suggest that SARS-CoV-2 convergent evolution overcame human adaptive and innate immune barriers, laying the groundwork to tackle future pandemics.
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Affiliation(s)
- Mehdi Bouhaddou
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Immunology, and Molecular Genetics (MIMG), University of California, Los Angeles, Los Angeles, CA, USA; Institute for Quantitative and Computational Biosciences (QCBio), University of California, Los Angeles, Los Angeles, CA, USA; Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - Ann-Kathrin Reuschl
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Division of Infection and Immunity, University College London, London, UK
| | - Benjamin J Polacco
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Lucy G Thorne
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Division of Infection and Immunity, University College London, London, UK
| | - Manisha R Ummadi
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Chengjin Ye
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Romel Rosales
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Adrian Pelin
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Jyoti Batra
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Gwendolyn M Jang
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Jiewei Xu
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Jack M Moen
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Alicia L Richards
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Yuan Zhou
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Bhavya Harjai
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Erica Stevenson
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Ajda Rojc
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Roberta Ragazzini
- Division of Infection and Immunity, University College London, London, UK; Epithelial Stem Cell Biology and Regenerative Medicine Laboratory, The Francis Crick Institute, London, UK
| | - Matthew V X Whelan
- Division of Infection and Immunity, University College London, London, UK
| | - Wilhelm Furnon
- MRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, UK
| | - Giuditta De Lorenzo
- MRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, UK
| | - Vanessa Cowton
- MRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, UK
| | - Abdullah M Syed
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA; Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA
| | - Alison Ciling
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA; Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA
| | - Noa Deutsch
- School of Computer Science, Tel Aviv University, Tel Aviv, Israel
| | - Daniel Pirak
- School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel
| | - Giulia Dowgier
- COVID Surveillance Unit, The Francis Crick Institute, London, UK
| | - Dejan Mesner
- Division of Infection and Immunity, University College London, London, UK
| | - Jane L Turner
- Division of Infection and Immunity, University College London, London, UK
| | - Briana L McGovern
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - M Luis Rodriguez
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rocio Leiva-Rebollo
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alistair S Dunham
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge, UK; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Saffron Walden, UK
| | - Xiaofang Zhong
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Manon Eckhardt
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Andrea Fossati
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Nicholas F Liotta
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA
| | - Thomas Kehrer
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Anastasija Cupic
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Magdalena Rutkowska
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ignacio Mena
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sadaf Aslam
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alyssa Hoffert
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Helene Foussard
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Charles Ochieng' Olwal
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana; Department of Biochemistry, Cell and Molecular Biology, College of Basic and Applied Sciences, University of Ghana, Accra, Ghana
| | - Weiqing Huang
- Huffington Center for Cell-based Research in Parkinson's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Cell, Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Thomas Zwaka
- Huffington Center for Cell-based Research in Parkinson's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Cell, Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - John Pham
- Synthego Corporation, Redwood City, CA, USA
| | | | | | | | | | | | | | | | | | | | - Kirsten Obernier
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Jacqueline M Fabius
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Margaret Soucheray
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Ruth Hüttenhain
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Irwin Jungreis
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Manolis Kellis
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ignacia Echeverria
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
| | - Kliment Verba
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
| | - Paola Bonfanti
- Division of Infection and Immunity, University College London, London, UK; Epithelial Stem Cell Biology and Regenerative Medicine Laboratory, The Francis Crick Institute, London, UK
| | - Pedro Beltrao
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge, UK; Institute of Molecular Systems Biology, Department of Biology, ETH Zürich, Zurich, Switzerland
| | - Roded Sharan
- School of Computer Science, Tel Aviv University, Tel Aviv, Israel
| | - Jennifer A Doudna
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA; Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA; Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA; Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA; Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA, USA; Department of Chemistry, University of California, Berkeley, Berkeley, CA, USA; California Institute for Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, CA, USA; Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
| | - Luis Martinez-Sobrido
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Arvind H Patel
- MRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, UK
| | - Massimo Palmarini
- MRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, UK
| | - Lisa Miorin
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kris White
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Danielle L Swaney
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Adolfo Garcia-Sastre
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Clare Jolly
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Division of Infection and Immunity, University College London, London, UK.
| | - Lorena Zuliani-Alvarez
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA.
| | - Greg J Towers
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Division of Infection and Immunity, University College London, London, UK.
| | - Nevan J Krogan
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA.
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19
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Poonsuk K, Loy D, Birn R, Buss B, Donahue M, Nordeen T, Sinclair K, Meduna L, Brodersen B, Loy JD. DETECTION OF SARS-COV-2 NEUTRALIZING ANTIBODIES IN RETROPHARYNGEAL LYMPH NODE EXUDATES OF WHITE-TAILED DEER (ODOCOILEUS VIRGINIANUS) FROM NEBRASKA, USA. J Wildl Dis 2023; 59:702-708. [PMID: 37768779 PMCID: PMC10913095 DOI: 10.7589/jwd-d-23-00005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 06/08/2023] [Indexed: 09/30/2023]
Abstract
Disease surveillance testing for emerging zoonotic pathogens in wildlife is a key component in understanding the epidemiology of these agents and potential risk to human populations. Recent emergence of SARS-CoV-2 in humans, and subsequent detection of this virus in wildlife, highlights the need for developing new One Health surveillance strategies. We used lymph node exudate, a sample type that is routinely collected in hunter-harvested white-tailed deer (WTD, Odocoileus virginianus) for surveillance of chronic wasting disease, to assess anti-SARS-CoV-2 neutralizing antibodies. A total of 132 pairs of retropharyngeal lymph nodes collected from Nebraska WTD harvested in Nebraska, US, in 2019 (pre-SARS-CoV-2 pandemic) and 2021 (post-SARS-CoV-2 pandemic) were tested for SARS-CoV-2 with reverse transcription PCR. Thereafter, exudates obtained from these same lymph nodes were tested for SARS-CoV-2 neutralizing antibodies using a surrogate virus neutralization test. Neutralizing antibodies were detected in the exudates with high diagnostic specificity (100% at proposed cutoff of 40% inhibition). Application of this testing approach to samples collected for use in other disease surveillance activities may provide additional epidemiological data on SARS-CoV-2 exposure, and there is further potential to apply this sample type to detection of other pathogens of interest.
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Affiliation(s)
- Korakrit Poonsuk
- University of Nebraska–Lincoln, Nebraska Veterinary Diagnostic Center, School of Veterinary Medicine and Biomedical Sciences, 4040 E. Campus Loop N, Lincoln, Nebraska 68503, USA
| | - Duan Loy
- University of Nebraska–Lincoln, Nebraska Veterinary Diagnostic Center, School of Veterinary Medicine and Biomedical Sciences, 4040 E. Campus Loop N, Lincoln, Nebraska 68503, USA
| | - Rachael Birn
- Division of Public Health, Nebraska Department of Health and Human Services, 301 Centennial Mall S, Lincoln, Nebraska 68508, USA
- Council State and Territorial Epidemiologists, 2635 Century Pkwy NE no. 700, Atlanta, Georgia 30345, USA
| | - Bryan Buss
- Division of Public Health, Nebraska Department of Health and Human Services, 301 Centennial Mall S, Lincoln, Nebraska 68508, USA
- Division of State and Local Readiness, Center for Preparedness and Response, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, Georgia 30329, USA
| | - Matthew Donahue
- Division of Public Health, Nebraska Department of Health and Human Services, 301 Centennial Mall S, Lincoln, Nebraska 68508, USA
| | - Todd Nordeen
- Nebraska Game and Parks Commission, 2200 N. 33rd St., Lincoln, Nebraska 68503, USA
| | - Kylie Sinclair
- Nebraska Game and Parks Commission, 2200 N. 33rd St., Lincoln, Nebraska 68503, USA
| | - Luke Meduna
- Nebraska Game and Parks Commission, 2200 N. 33rd St., Lincoln, Nebraska 68503, USA
| | - Bruce Brodersen
- University of Nebraska–Lincoln, Nebraska Veterinary Diagnostic Center, School of Veterinary Medicine and Biomedical Sciences, 4040 E. Campus Loop N, Lincoln, Nebraska 68503, USA
| | - John Dustin Loy
- University of Nebraska–Lincoln, Nebraska Veterinary Diagnostic Center, School of Veterinary Medicine and Biomedical Sciences, 4040 E. Campus Loop N, Lincoln, Nebraska 68503, USA
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20
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Sun MW, Troxell D, Tibshirani R. Public health factors help explain cross country heterogeneity in excess death during the COVID19 pandemic. Sci Rep 2023; 13:16196. [PMID: 37758827 PMCID: PMC10533501 DOI: 10.1038/s41598-023-43407-0] [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: 11/30/2022] [Accepted: 09/23/2023] [Indexed: 09/29/2023] Open
Abstract
The COVID-19 pandemic has taken a devastating toll around the world. Since January 2020, the World Health Organization estimates 14.9 million excess deaths have occurred globally. Despite this grim number quantifying the deadly impact, the underlying factors contributing to COVID-19 deaths at the population level remain unclear. Prior studies indicate that demographic factors like proportion of population older than 65 and population health explain the cross-country difference in COVID-19 deaths. However, there has not been a comprehensive analysis including variables describing government policies and COVID-19 vaccination rate. Furthermore, prior studies focus on COVID-19 death rather than excess death to assess the impact of the pandemic. Through a robust statistical modeling framework, we analyze 80 countries and show that actionable public health efforts beyond just the factors intrinsic to each country are important for explaining the cross-country heterogeneity in excess death.
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Affiliation(s)
- Min Woo Sun
- Department of Biomedical Data Science, Stanford University, 450 Serra Mall, Stanford, CA, 94305, USA.
| | - David Troxell
- Department of Statistics, Stanford University, 450 Serra Mall, Stanford, CA, 94305, USA
| | - Robert Tibshirani
- Department of Biomedical Data Science, Stanford University, 450 Serra Mall, Stanford, CA, 94305, USA
- Department of Statistics, Stanford University, 450 Serra Mall, Stanford, CA, 94305, USA
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21
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Wang Z, Wu P, Wang L, Li B, Liu Y, Ge Y, Wang R, Wang L, Tan H, Wu CH, Laine M, Salje H, Song H. Marginal effects of public health measures and COVID-19 disease burden in China: A large-scale modelling study. PLoS Comput Biol 2023; 19:e1011492. [PMID: 37721947 PMCID: PMC10538769 DOI: 10.1371/journal.pcbi.1011492] [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: 05/23/2023] [Revised: 09/28/2023] [Accepted: 09/05/2023] [Indexed: 09/20/2023] Open
Abstract
China had conducted some of the most stringent public health measures to control the spread of successive SARS-CoV-2 variants. However, the effectiveness of these measures and their impacts on the associated disease burden have rarely been quantitatively assessed at the national level. To address this gap, we developed a stochastic age-stratified metapopulation model that incorporates testing, contact tracing and isolation, based on 419 million travel movements among 366 Chinese cities. The study period for this model began from September 2022. The COVID-19 disease burden was evaluated, considering 8 types of underlying health conditions in the Chinese population. We identified the marginal effects between the testing speed and reduction in the epidemic duration. The findings suggest that assuming a vaccine coverage of 89%, the Omicron-like wave could be suppressed by 3-day interval population-level testing (PLT), while it would become endemic with 4-day interval PLT, and without testing, it would result in an epidemic. PLT conducted every 3 days would not only eliminate infections but also keep hospital bed occupancy at less than 29.46% (95% CI, 22.73-38.68%) of capacity for respiratory illness and ICU bed occupancy at less than 58.94% (95% CI, 45.70-76.90%) during an outbreak. Furthermore, the underlying health conditions would lead to an extra 2.35 (95% CI, 1.89-2.92) million hospital admissions and 0.16 (95% CI, 0.13-0.2) million ICU admissions. Our study provides insights into health preparedness to balance the disease burden and sustainability for a country with a population of billions.
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Affiliation(s)
- Zengmiao Wang
- State Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, Faculty of Geographical Science, Beijing Normal University, Beijing, China
| | - Peiyi Wu
- State Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, Faculty of Geographical Science, Beijing Normal University, Beijing, China
| | - Lin Wang
- Department of Genetics, University of Cambridge, Cambridge, United Kingdom
| | - Bingying Li
- State Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, Faculty of Geographical Science, Beijing Normal University, Beijing, China
| | - Yonghong Liu
- Beijing Center for Disease Prevention and Control, Beijing, China
| | - Yuxi Ge
- State Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, Faculty of Geographical Science, Beijing Normal University, Beijing, China
| | - Ruixue Wang
- State Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, Faculty of Geographical Science, Beijing Normal University, Beijing, China
| | - Ligui Wang
- Center of Disease Control and Prevention, PLA, Beijing, China
| | - Hua Tan
- Translational and Functional Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Chieh-Hsi Wu
- Mathematical Sciences, University of Southampton, Southampton, United Kingdom
| | - Marko Laine
- Finnish Meteorological Institute, Meteorological Research Unit, Helsinki, Finland
| | - Henrik Salje
- Department of Genetics, University of Cambridge, Cambridge, United Kingdom
| | - Hongbin Song
- Center of Disease Control and Prevention, PLA, Beijing, China
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22
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Ma W, Fu H, Jian F, Cao Y, Li M. Immune evasion and ACE2 binding affinity contribute to SARS-CoV-2 evolution. Nat Ecol Evol 2023; 7:1457-1466. [PMID: 37443189 DOI: 10.1038/s41559-023-02123-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 06/13/2023] [Indexed: 07/15/2023]
Abstract
Mutations in the SARS-CoV-2 genome could confer resistance to pre-existing antibodies and/or increased transmissibility. The recently emerged Omicron subvariants exhibit a strong tendency for immune evasion, suggesting adaptive evolution. However, because previous studies have been limited to specific lineages or subsets of mutations, the overall evolutionary trajectory of SARS-CoV-2 and the underlying driving forces are still not fully understood. Here we analysed all open-access SARS-CoV-2 genomes (up to November 2022) and correlated the mutation incidence and fitness changes with the impacts of mutations on immune evasion and ACE2 binding affinity. Our results show that the Omicron lineage had an accelerated mutation rate in the RBD region, while the mutation incidence in other genomic regions did not change dramatically over time. Mutations in the RBD region exhibited a lineage-specific pattern and tended to become more aggregated over time, and the mutation incidence was positively correlated with the strength of antibody pressure. Additionally, mutation incidence was positively correlated with changes in ACE2 binding affinity, but with a lower correlation coefficient than with immune evasion. In contrast, the effect of mutations on fitness was more closely correlated with changes in ACE2 binding affinity than with immune evasion. Our findings suggest that immune evasion and ACE2 binding affinity play significant and diverse roles in the evolution of SARS-CoV-2.
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Affiliation(s)
- Wentai Ma
- Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Haoyi Fu
- Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Fanchong Jian
- Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing, China
| | - Yunlong Cao
- Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing, China.
- Changping Laboratory, Beijing, China.
| | - Mingkun Li
- Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beijing, China.
- University of Chinese Academy of Sciences, Beijing, China.
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23
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Hou M, Shi J, Gong Z, Wen H, Lan Y, Deng X, Fan Q, Li J, Jiang M, Tang X, Wu CI, Li F, Ruan Y. Intra- vs. Interhost Evolution of SARS-CoV-2 Driven by Uncorrelated Selection-The Evolution Thwarted. Mol Biol Evol 2023; 40:msad204. [PMID: 37707487 PMCID: PMC10521905 DOI: 10.1093/molbev/msad204] [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: 07/01/2023] [Revised: 09/05/2023] [Accepted: 09/07/2023] [Indexed: 09/15/2023] Open
Abstract
In viral evolution, a new mutation has to proliferate within the host (Stage I) in order to be transmitted and then compete in the host population (Stage II). We now analyze the intrahost single nucleotide variants (iSNVs) in a set of 79 SARS-CoV-2 infected patients with most transmissions tracked. Here, every mutation has two measures: 1) iSNV frequency within each individual host in Stage I; 2) occurrence among individuals ranging from 1 (private), 2-78 (public), to 79 (global) occurrences in Stage II. In Stage I, a small fraction of nonsynonymous iSNVs are sufficiently advantageous to rise to a high frequency, often 100%. However, such iSNVs usually fail to become public mutations. Thus, the selective forces in the two stages of evolution are uncorrelated and, possibly, antagonistic. For that reason, successful mutants, including many variants of concern, have to avoid being eliminated in Stage I when they first emerge. As a result, they may not have the transmission advantage to outcompete the dominant strains and, hence, are rare in the host population. Few of them could manage to slowly accumulate advantageous mutations to compete in Stage II. When they do, they would appear suddenly as in each of the six successive waves of SARS-CoV-2 strains. In conclusion, Stage I evolution, the gate-keeper, may contravene the long-term viral evolution and should be heeded in viral studies.
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Affiliation(s)
- Mei Hou
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Jingrong Shi
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Zanke Gong
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Haijun Wen
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Yun Lan
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Xizi Deng
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Qinghong Fan
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Jiaojiao Li
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Mengling Jiang
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Xiaoping Tang
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Chung-I Wu
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Feng Li
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Yongsen Ruan
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
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24
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Zhang W, Shi K, Geng Q, Herbst M, Wang M, Huang L, Bu F, Liu B, Aihara H, Li F. Structural evolution of SARS-CoV-2 omicron in human receptor recognition. J Virol 2023; 97:e0082223. [PMID: 37578233 PMCID: PMC10506476 DOI: 10.1128/jvi.00822-23] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 06/28/2023] [Indexed: 08/15/2023] Open
Abstract
Understanding the evolutionary strategies of the SARS-CoV-2 omicron variant is crucial for comprehending the COVID-19 pandemic and preventing future coronavirus pandemics. In this study, we determined the crystal structures of the receptor-binding domains (RBDs) from currently circulating omicron subvariants XBB.1 and XBB.1.5 (also the emerging XBB.1.9.1), each complexed with human ACE2. We studied how individual RBD residues evolved structurally in omicron subvariants, specifically how they adapted to human ACE2. Our findings revealed that residues 493 and 496, which exhibited good human ACE2 adaptation in pre-omicron variants, evolved to poor adaptation in early omicron subvariants (but with good adaption to mouse ACE2) and then reverted to good adaptation in recent omicron subvariants. This result is consistent with the hypothesis that non-human animals facilitated the evolution of early omicron subvariants. Additionally, residue 486, which exhibited good human ACE2 adaptation in early omicron subvariants, evolved to poor adaptation in later omicron subvariants and then returned to good adaptation in recent omicron subvariants. This result is consistent with the hypothesis that immune evasion facilitated the evolution of later omicron subvariants. Thus, our study suggests that both non-human animals and immune evasion may have contributed to driving omicron evolution at different stages of the pandemic. IMPORTANCE The sudden emergence and continued evolution of the SARS-CoV-2 omicron variant have left many mysteries unanswered, such as the origin of early omicron subvariants and the factors driving omicron evolution. To address these questions, we studied the crystal structures of human ACE2-bound receptor-binding domains (RBDs) from omicron subvariants XBB.1 and XBB.1.5 (XBB.1.9.1). Our in-depth structural analysis sheds light on how specific RBD mutations adapt to either human or mouse ACE2 and suggests non-human animals and immune evasion may have influenced omicron evolution during different stages of the pandemic. These findings provide valuable insights into the mechanisms underlying omicron evolution, deepen our understanding of the COVID-19 pandemic, and have significant implications for preventing future coronavirus pandemics.
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Affiliation(s)
- Wei Zhang
- Department of Pharmacology, University of Minnesota Medical School, Minneapolis, Minnesota, USA
- Center for Coronavirus Research, University of Minnesota, Minneapolis, Minnesota, USA
| | - Ke Shi
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, Minnesota, USA
| | - Qibin Geng
- Department of Pharmacology, University of Minnesota Medical School, Minneapolis, Minnesota, USA
- Center for Coronavirus Research, University of Minnesota, Minneapolis, Minnesota, USA
| | - Morgan Herbst
- Department of Pharmacology, University of Minnesota Medical School, Minneapolis, Minnesota, USA
- Center for Coronavirus Research, University of Minnesota, Minneapolis, Minnesota, USA
| | - Michael Wang
- Department of Pharmacology, University of Minnesota Medical School, Minneapolis, Minnesota, USA
- Center for Coronavirus Research, University of Minnesota, Minneapolis, Minnesota, USA
| | - Linfen Huang
- Department of Pharmacology, University of Minnesota Medical School, Minneapolis, Minnesota, USA
- Center for Coronavirus Research, University of Minnesota, Minneapolis, Minnesota, USA
| | - Fan Bu
- Department of Pharmacology, University of Minnesota Medical School, Minneapolis, Minnesota, USA
- Center for Coronavirus Research, University of Minnesota, Minneapolis, Minnesota, USA
| | - Bin Liu
- Hormel Institute, University of Minnesota, Austin, Minnesota, USA
| | - Hideki Aihara
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, Minnesota, USA
| | - Fang Li
- Department of Pharmacology, University of Minnesota Medical School, Minneapolis, Minnesota, USA
- Center for Coronavirus Research, University of Minnesota, Minneapolis, Minnesota, USA
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25
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Zhiyanov A, Shkurnikov M, Nersisyan A, Hui C, Baranova A, Tonevitsky A. The signature of SARS-CoV-2 evolution reflects selective pressures within human guts. J Med Virol 2023; 95:e28996. [PMID: 37515485 DOI: 10.1002/jmv.28996] [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: 04/06/2023] [Revised: 07/09/2023] [Accepted: 07/16/2023] [Indexed: 07/31/2023]
Abstract
In somatic cells, microRNAs (miRNAs) bind to the genomes of RNA viruses and influence their translation and replication. In London and Berlin samples represented in GISAID database, we traced severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) lineages and divided these sequenced in two groups, "Ancestral variants" and "Omicrons," and analyzed them through the prism of the tissue-specific binding between host miRNAs and viral messenger RNAs. We demonstrate a significant number of miRNA-binding sites in the NSP4 region of the SARS-CoV-2 genome, with evidence of evolutionary pressure within this region exerted by human intestinal miRNAs. Notably, in infected cells, NSP4 promotes the formation of double-membrane vesicles, which serve as the scaffolds for replication-transcriptional complexes and protect viral RNA from intracellular destruction. In 3 years of selection, the loss of many miRNA-binding sites in general and those within the NSP4 in particular has shaped the SARS-CoV-2 genomes. With that, the descendants of the BA.2 variants were promoted as dominant strains, which define current momentum of the pandemics.
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Affiliation(s)
- Anton Zhiyanov
- Faculty of Biology and Biotechnology, HSE University, Moscow, Russia
| | - Maxim Shkurnikov
- Faculty of Biology and Biotechnology, HSE University, Moscow, Russia
| | - Ashot Nersisyan
- Faculty of Biology and Biotechnology, HSE University, Moscow, Russia
| | - Cai Hui
- Department of Nanoengineering, Sun Yat-Sen University, Shenzhen, China
| | - Ancha Baranova
- School of Systems Biology, George Mason University, Fairfax, Virginia, USA
- Research Centre for Medical Genetics, Moscow, Russia
| | - Alexander Tonevitsky
- Faculty of Biology and Biotechnology, HSE University, Moscow, Russia
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia
- Art Photonics GmbH, Berlin, Germany
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26
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Fang L, Xu J, Zhao Y, Fan J, Shen J, Liu W, Cao G. The effects of amino acid substitution of spike protein and genomic recombination on the evolution of SARS-CoV-2. Front Microbiol 2023; 14:1228128. [PMID: 37560529 PMCID: PMC10409611 DOI: 10.3389/fmicb.2023.1228128] [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: 05/24/2023] [Accepted: 07/03/2023] [Indexed: 08/11/2023] Open
Abstract
Over three years' pandemic of 2019 novel coronavirus disease (COVID-19), multiple variants and novel subvariants have emerged successively, outcompeted earlier variants and become predominant. The sequential emergence of variants reflects the evolutionary process of mutation-selection-adaption of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Amino acid substitution/insertion/deletion in the spike protein causes altered viral antigenicity, transmissibility, and pathogenicity of SARS-CoV-2. Early in the pandemic, D614G mutation conferred virus with advantages over previous variants and increased transmissibility, and it also laid a conservative background for subsequent substantial mutations. The role of genomic recombination in the evolution of SARS-CoV-2 raised increasing concern with the occurrence of novel recombinants such as Deltacron, XBB.1.5, XBB.1.9.1, and XBB.1.16 in the late phase of pandemic. Co-circulation of different variants and co-infection in immunocompromised patients accelerate the emergence of recombinants. Surveillance for SARS-CoV-2 genomic variations, particularly spike protein mutation and recombination, is essential to identify ongoing changes in the viral genome and antigenic epitopes and thus leads to the development of new vaccine strategies and interventions.
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Affiliation(s)
- Letian Fang
- Key Laboratory of Biological Defense, Ministry of Education, Shanghai, China
- Shanghai Key Laboratory of Medical Bioprotection, Shanghai, China
- Department of Epidemiology, Second Military Medical University, Shanghai, China
| | - Jie Xu
- Department of Foreign Languages, International Exchange Center for Military Medicine, Second Military Medical University, Shanghai, China
| | - Yue Zhao
- Key Laboratory of Biological Defense, Ministry of Education, Shanghai, China
- Shanghai Key Laboratory of Medical Bioprotection, Shanghai, China
- Department of Epidemiology, Second Military Medical University, Shanghai, China
| | - Junyan Fan
- Key Laboratory of Biological Defense, Ministry of Education, Shanghai, China
- Shanghai Key Laboratory of Medical Bioprotection, Shanghai, China
- Department of Epidemiology, Second Military Medical University, Shanghai, China
| | - Jiaying Shen
- School of Medicine, Tongji University, Shanghai, China
| | - Wenbin Liu
- Key Laboratory of Biological Defense, Ministry of Education, Shanghai, China
- Shanghai Key Laboratory of Medical Bioprotection, Shanghai, China
- Department of Epidemiology, Second Military Medical University, Shanghai, China
| | - Guangwen Cao
- Key Laboratory of Biological Defense, Ministry of Education, Shanghai, China
- Shanghai Key Laboratory of Medical Bioprotection, Shanghai, China
- Department of Epidemiology, Second Military Medical University, Shanghai, China
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27
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Devaux CA, Fantini J. ACE2 receptor polymorphism in humans and animals increases the risk of the emergence of SARS-CoV-2 variants during repeated intra- and inter-species host-switching of the virus. Front Microbiol 2023; 14:1199561. [PMID: 37520374 PMCID: PMC10373931 DOI: 10.3389/fmicb.2023.1199561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 06/23/2023] [Indexed: 08/01/2023] Open
Abstract
Like other coronaviruses, SARS-CoV-2 has ability to spread through human-to-human transmission and to circulate from humans to animals and from animals to humans. A high frequency of SARS-CoV-2 mutations has been observed in the viruses isolated from both humans and animals, suggesting a genetic fitness under positive selection in both ecological niches. The most documented positive selection force driving SARS-CoV-2 mutations is the host-specific immune response. However, after electrostatic interactions with lipid rafts, the first contact between the virus and host proteins is the viral spike-cellular receptor binding. Therefore, it is likely that the first level of selection pressure impacting viral fitness relates to the virus's affinity for its receptor, the angiotensin I converting enzyme 2 (ACE2). Although sufficiently conserved in a huge number of species to support binding of the viral spike with enough affinity to initiate fusion, ACE2 is highly polymorphic both among species and within a species. Here, we provide evidence suggesting that when the viral spike-ACE2 receptor interaction is not optimal, due to host-switching, mutations can be selected to improve the affinity of the spike for the ACE2 expressed by the new host. Notably, SARS-CoV-2 is mutation-prone in the spike receptor binding domain (RBD), allowing a better fit for ACE2 orthologs in animals. It is possibly that this may also be true for rare human alleles of ACE2 when the virus is spreading to billions of people. In this study, we present evidence that human subjects expressing the rare E329G allele of ACE2 with higher allele frequencies in European populations exhibit a improved affinity for the SARS-CoV-2 spike N501Y variant of the virus. This may suggest that this viral N501Y variant emerged in the human population after SARS-CoV-2 had infected a human carrying the rare E329G allele of ACE2. In addition, this viral evolution could impact viral replication as well as the ability of the adaptive humoral response to control infection with RBD-specific neutralizing antibodies. In a shifting landscape, this ACE2-driven genetic drift of SARS-CoV-2 which we have named the 'boomerang effect', could complicate the challenge of preventing COVID with a SARS-CoV-2 spike-derived vaccine.
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Affiliation(s)
- Christian A. Devaux
- Laboratory Microbes Evolution Phylogeny and Infection (MEPHI), Aix-Marseille Université, IRD, APHM, MEPHI, IHU–Méditerranée Infection, Marseille, France
- Centre National de la Recherche Scientifique (CNRS-SNC5039), Marseille, France
| | - Jacques Fantini
- INSERM UMR_S1072, Marseille, France, Aix-Marseille Université, Marseille, France
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Couto PS, Al-Arawe N, Filgueiras IS, Fonseca DLM, Hinterseher I, Catar RA, Chinnadurai R, Bersenev A, Cabral-Marques O, Moll G, Verter F. Systematic review and meta-analysis of cell therapy for COVID-19: global clinical trial landscape, published safety/efficacy outcomes, cell product manufacturing and clinical delivery. Front Immunol 2023; 14:1200180. [PMID: 37415976 PMCID: PMC10321603 DOI: 10.3389/fimmu.2023.1200180] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 05/24/2023] [Indexed: 07/08/2023] Open
Abstract
During the pandemic of severe respiratory distress syndrome coronavirus 2 (SARS-CoV2), many novel therapeutic modalities to treat Coronavirus 2019 induced disease (COVID-19) were explored. This study summarizes 195 clinical trials of advanced cell therapies targeting COVID-19 that were registered over the two years between January 2020 to December 2021. In addition, this work also analyzed the cell manufacturing and clinical delivery experience of 26 trials that published their outcomes by July 2022. Our demographic analysis found the highest number of cell therapy trials for COVID-19 was in United States, China, and Iran (N=53, 43, and 19, respectively), with the highest number per capita in Israel, Spain, Iran, Australia, and Sweden (N=0.641, 0.232, 0,223, 0.194, and 0.192 trials per million inhabitants). The leading cell types were multipotent mesenchymal stromal/stem cells (MSCs), natural killer (NK) cells, and mononuclear cells (MNCs), accounting for 72%, 9%, and 6% of the studies, respectively. There were 24 published clinical trials that reported on infusions of MSCs. A pooled analysis of these MSC studies found that MSCs provide a relative risk reduction for all-cause COVID-19 mortality of RR=0.63 (95% CI 0.46 to 0.85). This result corroborates previously published smaller meta-analyses, which suggested that MSC therapy demonstrated a clinical benefit for COVID-19 patients. The sources of the MSCs used in these studies and their manufacturing and clinical delivery methods were remarkably heterogeneous, with some predominance of perinatal tissue-derived products. Our results highlight the important role that cell therapy products may play as an adjunct therapy in the management of COVID-19 and its related complications, as well as the importance of controlling key manufacturing parameters to ensure comparability between studies. Thus, we support ongoing calls for a global registry of clinical studies with MSC products that could better link cell product manufacturing and delivery methods to clinical outcomes. Although advanced cell therapies may provide an important adjunct treatment for patients affected by COVID-19 in the near future, preventing pathology through vaccination still remains the best protection to date. We conducted a systematic review and meta-analysis of advanced cell therapy clinical trials as potential novel treatment for COVID-19 (resulting from SARS-CoV-2 coronavirus infection), including analysis of the global clinical trial landscape, published safety/efficacy outcomes (RR/OR), and details on cell product manufacturing and clinical delivery. This study had a 2-year observation interval from start of January 2020 to end of December 2021, including a follow-up period until end of July to identify published outcomes, which covers the most vivid period of clinical trial activity, and is also the longest observation period studied until today. In total, we identified 195 registered advanced cell therapy studies for COVID-19, employing 204 individual cell products. Leading registered trial activity was attributed to the USA, China, and Iran. Through the end of July 2022, 26 clinical trials were published, with 24 out of 26 articles employing intravenous infusions (IV) of mesenchymal stromal/stem cell (MSC) products. Most of the published trials were attributed to China and Iran. The cumulative results from the 24 published studies employing infusions of MSCs indicated an improved survival (RR=0.63 with 95% Confidence Interval 0.46 to 0.85). Our study is the most comprehensive systematic review and meta-analysis on cell therapy trials for COVID-19 conducted to date, clearly identifying the USA, China, and Iran as leading advanced cell therapy trial countries for COVID-19, with further strong contributions from Israel, Spain, Australia and Sweden. Although advanced cell therapies may provide an important adjunct treatment for patients affected by COVID-19 in the future, preventing pathology through vaccination remains the best protection.
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Affiliation(s)
- Pedro S. Couto
- Department of Biochemical Engineering, Advanced Centre for Biochemical Engineering, University College London, London, United Kingdom
- CellTrials.org and Parent’s Guide to Cord Blood Foundation, a non-profit organization headquartered in Brookeville, Brookeville, MD, United States
| | - Nada Al-Arawe
- Department of Nephrology and Internal Intensive Care Medicine, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health (BIH), Berlin, Germany
- Vascular Surgery Clinic, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Igor S. Filgueiras
- Department of Immunology, Institute of Biomedical Sciences, University of São Paulo (USP), São Paulo, SP, Brazil
| | - Dennyson L. M. Fonseca
- Interunit Postgraduate Program on Bioinformatics, Institute of Mathematics and Statistics (IME), University of São Paulo (USP), São Paulo, SP, Brazil
| | - Irene Hinterseher
- Vascular Surgery Clinic, Charité Universitätsmedizin Berlin, Berlin, Germany
- Department of Vascular Surgery, Universitätsklinikum Ruppin-Brandenburg, Medizinische Hochschule Brandenburg Theodor Fontane, Neuruppin, Germany
- Fakultät der Gesundheitswissenschaften Brandenburg, Gemeinsame Fakultät der Universität Potsdam, der Medizinischen Hochschule Brandenburg Theodor Fontane, und der Brandenburg Technischen Universität (BTU) Cottbus-Senftenberg, Potsdam, Germany
| | - Rusan A. Catar
- Department of Nephrology and Internal Intensive Care Medicine, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health (BIH), Berlin, Germany
| | - Raghavan Chinnadurai
- Department of Biomedical Sciences, Mercer University School of Medicine, Savannah, GA, United States
| | - Alexey Bersenev
- Advanced Cell Therapy (ACT) Laboratory, Yale School of Medicine, New Haven, CT, United States
| | - Otávio Cabral-Marques
- Department of Immunology, Institute of Biomedical Sciences, University of São Paulo (USP), São Paulo, SP, Brazil
- Interunit Postgraduate Program on Bioinformatics, Institute of Mathematics and Statistics (IME), University of São Paulo (USP), São Paulo, SP, Brazil
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo (USP), São Paulo, SP, Brazil
- Department of Pharmacy and Postgraduate Program of Health and Science, Federal University of Rio Grande do Norte, Natal, Brazil
- Department of Medicine, Division of Molecular Medicine, University of São Paulo School of Medicine, São Paulo, Brazil
- Laboratory of Medical Investigation 29, University of São Paulo School of Medicine, São Paulo, Brazil
| | - Guido Moll
- Department of Nephrology and Internal Intensive Care Medicine, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health (BIH), Berlin, Germany
- Berlin Institute of Health (BIH) Center for Regenerative Therapies (BCRT), Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Frances Verter
- CellTrials.org and Parent’s Guide to Cord Blood Foundation, a non-profit organization headquartered in Brookeville, Brookeville, MD, United States
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Cheng Y, Ji C, Zhou HY, Zheng H, Wu A. Web Resources for SARS-CoV-2 Genomic Database, Annotation, Analysis and Variant Tracking. Viruses 2023; 15:v15051158. [PMID: 37243244 DOI: 10.3390/v15051158] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 05/10/2023] [Accepted: 05/10/2023] [Indexed: 05/28/2023] Open
Abstract
The SARS-CoV-2 genomic data continue to grow, providing valuable information for researchers and public health officials. Genomic analysis of these data sheds light on the transmission and evolution of the virus. To aid in SARS-CoV-2 genomic analysis, many web resources have been developed to store, collate, analyze, and visualize the genomic data. This review summarizes web resources used for the SARS-CoV-2 genomic epidemiology, covering data management and sharing, genomic annotation, analysis, and variant tracking. The challenges and further expectations for these web resources are also discussed. Finally, we highlight the importance and need for continued development and improvement of related web resources to effectively track the spread and understand the evolution of the virus.
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Affiliation(s)
- Yexiao Cheng
- School of Life Science and Technology, China Pharmaceutical University, Nanjing 211100, China
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China
- Suzhou Institute of Systems Medicine, Suzhou 215123, China
| | - Chengyang Ji
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China
- Suzhou Institute of Systems Medicine, Suzhou 215123, China
| | - Hang-Yu Zhou
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China
- Suzhou Institute of Systems Medicine, Suzhou 215123, China
| | - Heng Zheng
- School of Life Science and Technology, China Pharmaceutical University, Nanjing 211100, China
| | - Aiping Wu
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China
- Suzhou Institute of Systems Medicine, Suzhou 215123, China
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de Souza Andrade A, Freitas EF, de Castro Barbosa E, Guimarães N, de Melo Iani FC, da Costa AVB, Bernardes AFL, Adelino TER, Ataide ACZ, Gregianini TS, Nunes JD, Stringari LL, Riediger IN, Fernandes SB, de Jesus R, Fonseca V, Caldas S. Potential use of high-resolution melting analyses for SARS-CoV-2 genomic surveillance. J Virol Methods 2023; 317:114742. [PMID: 37116586 PMCID: PMC10132831 DOI: 10.1016/j.jviromet.2023.114742] [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: 02/22/2023] [Revised: 04/23/2023] [Accepted: 04/25/2023] [Indexed: 04/30/2023]
Abstract
The pandemic caused by COVID-19 and the emergence of new variants of SARS-CoV-2 have generated clinical and epidemiological impacts on a global scale. The use of strategies for monitoring viral circulation and identifying mutations in genomic regions involved in host interaction are important measures to mitigate viral dissemination and reduce its likely complications on population health. In this context, the objective of this work was to explore the potential of high-resolution melting (HRM) analysis combined with one-step real-time reverse transcription PCR in a closed-tube system, as a fast and convenient method of screening for SARS-CoV-2 mutations with possible implications on host-pathogen interactions. The HRM analyses allowed the distinction of the Gamma, Zeta, Alpha, Delta, and Omicron variants against the predecessors (B.1.1.28, B.1.1.33) of occurrence in Brazil. It is concluded that the molecular tool standardized here has the potential to optimize the genomic surveillance of SARS-CoV-2, and could be adapted for genomic surveillance of other pathogens, due to its ability to detect, prior to sequencing, samples suggestive of new variants, selecting them more assertively and earlier for whole genome sequencing when compared to random screening.
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Affiliation(s)
- Adriana de Souza Andrade
- Serviço de Pesquisa em Doenças Infecciosas, Divisão de Ciência e Inovação, Fundação Ezequiel Dias, Belo Horizonte, MG, Brazil
| | - Eduarda Fernandes Freitas
- Serviço de Pesquisa em Doenças Infecciosas, Divisão de Ciência e Inovação, Fundação Ezequiel Dias, Belo Horizonte, MG, Brazil; Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Emerson de Castro Barbosa
- Serviço de Pesquisa em Doenças Infecciosas, Divisão de Ciência e Inovação, Fundação Ezequiel Dias, Belo Horizonte, MG, Brazil; Serviço de Virologia e Riquetsioses, Divisão de Epidemiologia e Controle de Doenças, Laboratório Central do Estado de Minas Gerais, Fundação Ezequiel Dias, Belo Horizonte, MG, Brazil
| | - Natália Guimarães
- Serviço de Virologia e Riquetsioses, Divisão de Epidemiologia e Controle de Doenças, Laboratório Central do Estado de Minas Gerais, Fundação Ezequiel Dias, Belo Horizonte, MG, Brazil
| | - Felipe Campos de Melo Iani
- Serviço de Virologia e Riquetsioses, Divisão de Epidemiologia e Controle de Doenças, Laboratório Central do Estado de Minas Gerais, Fundação Ezequiel Dias, Belo Horizonte, MG, Brazil; Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Alana Vitor Barbosa da Costa
- Serviço de Virologia e Riquetsioses, Divisão de Epidemiologia e Controle de Doenças, Laboratório Central do Estado de Minas Gerais, Fundação Ezequiel Dias, Belo Horizonte, MG, Brazil
| | - André Felipe Leal Bernardes
- Serviço de Virologia e Riquetsioses, Divisão de Epidemiologia e Controle de Doenças, Laboratório Central do Estado de Minas Gerais, Fundação Ezequiel Dias, Belo Horizonte, MG, Brazil
| | - Talita Emile Ribeiro Adelino
- Serviço de Virologia e Riquetsioses, Divisão de Epidemiologia e Controle de Doenças, Laboratório Central do Estado de Minas Gerais, Fundação Ezequiel Dias, Belo Horizonte, MG, Brazil
| | - Ana Caroline Zampiroli Ataide
- Serviço de Pesquisa em Doenças Infecciosas, Divisão de Ciência e Inovação, Fundação Ezequiel Dias, Belo Horizonte, MG, Brazil
| | - Tatiana Schäffer Gregianini
- Laboratório de Influenza e outros Vírus Respiratórios, Laboratório de Biologia Molecular de Dengue, Febre Amarela, Zika e Chikungunya, Seção de Virologia. Laboratório Central do Estado do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Jônathas Dias Nunes
- Laboratório Central Noel Nutels. Laboratório Central do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brazil
| | - Lorenzzo L Stringari
- Laboratório Central de Saúde Pública do Estado do Espírito Santo, Secretaria de Estado de Saúde do Espírito Santo, Vitória, ES, Brazil; Núcleo de Doenças Infecciosas, Universidade Federal do Espírito Santo, Vitória, ES, Brazil
| | - Irina Nastassja Riediger
- Divisão dos Laboratórios de Epidemiologia e Controle de Doenças, Laboratório Central do Estado do Paraná, São José dos Pinhais, PR, Brazil
| | | | - Ronaldo de Jesus
- Coordenação-Geral de Laboratórios de Saúde Pública, Ministério da Saúde, Brasília, Distrito Federal, Brazil; Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Vagner Fonseca
- Organização Pan-Americana da Saúde/Organização Mundial da Saúde, Brasília, Distrito Federal, Brazil
| | - Sérgio Caldas
- Serviço de Pesquisa em Doenças Infecciosas, Divisão de Ciência e Inovação, Fundação Ezequiel Dias, Belo Horizonte, MG, Brazil.
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Gili R, Burioni R. SARS-CoV-2 before and after Omicron: two different viruses and two different diseases? J Transl Med 2023; 21:251. [PMID: 37038133 PMCID: PMC10088248 DOI: 10.1186/s12967-023-04095-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Accepted: 03/28/2023] [Indexed: 04/12/2023] Open
Abstract
For the first time in the history of medicine, it has been possible to describe-after a spillover-the evolution of a new human virus spreading in a non-immune population. This allowed not only to observe the subsequent emersion of variants endowed with features providing the virus with an evolutionary advantage, but also the shift of the pathways of virus replication and the acquisition of immunoevasive features. These characteristics had a remarkable influence on the diffusion of the SARS-CoV-2 and on the clinical presentation and prognosis of COVID-19, aspects that are described and commented in this review.
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Affiliation(s)
- Renata Gili
- Università Vita Salute San Raffaele Medical School, via Olgettina 58, 20132, Milan, Italy
| | - Roberto Burioni
- Università Vita Salute San Raffaele Medical School, via Olgettina 58, 20132, Milan, Italy.
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Hulme J. COVID-19 and Diarylamidines: The Parasitic Connection. Int J Mol Sci 2023; 24:6583. [PMID: 37047556 PMCID: PMC10094973 DOI: 10.3390/ijms24076583] [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: 03/15/2023] [Revised: 03/28/2023] [Accepted: 03/30/2023] [Indexed: 04/05/2023] Open
Abstract
As emerging severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants (Omicron) continue to outpace and negate combinatorial vaccines and monoclonal antibody therapies targeting the spike protein (S) receptor binding domain (RBD), the appetite for developing similar COVID-19 treatments has significantly diminished, with the attention of the scientific community switching to long COVID treatments. However, treatments that reduce the risk of "post-COVID-19 syndrome" and associated sequelae remain in their infancy, particularly as no established criteria for diagnosis currently exist. Thus, alternative therapies that reduce infection and prevent the broad range of symptoms associated with 'post-COVID-19 syndrome' require investigation. This review begins with an overview of the parasitic-diarylamidine connection, followed by the renin-angiotensin system (RAS) and associated angiotensin-converting enzyme 2 (ACE2) and transmembrane serine protease 2 (TMPRSSR2) involved in SARS-CoV-2 infection. Subsequently, the ability of diarylamidines to inhibit S-protein binding and various membrane serine proteases associated with SARS-CoV-2 and parasitic infections are discussed. Finally, the roles of diarylamidines (primarily DIZE) in vaccine efficacy, epigenetics, and the potential amelioration of long COVID sequelae are highlighted.
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Affiliation(s)
- John Hulme
- Department of Bionano Technology, Gachon Bionano Research Institute, Gachon University, 1342 Sungnam-daero, Sujung-gu, Seongnam-si 461-701, Republic of Korea
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Akaishi T, Fujiwara K. Insertion and deletion mutations preserved in SARS-CoV-2 variants. Arch Microbiol 2023; 205:154. [PMID: 37000302 PMCID: PMC10064622 DOI: 10.1007/s00203-023-03493-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 03/16/2023] [Accepted: 03/18/2023] [Indexed: 04/01/2023]
Abstract
The insertion/deletion (indel) mutation profiles of SARS-CoV-2 variants, including Omicron, remain unclear. We compared whole-genome sequences from various lineages and used preserved indels to infer the ancestral relationships between different lineages. Thirteen indel patterns from twelve sites were seen in ≥ 2 sequences; six of these sites were located in the N-terminal domain of the viral spike gene. Preserved indels in the coding regions were also identified in the non-structural protein 3 (Nsp3), Nsp6, and nucleocapsid genes. Seven of the thirteen indel patterns were specific to the Omicron variants, four of which were observed in BA.1, making it the most mutated variant. Other preserved indels observed in the Omicron variants were also seen in Alpha and/or Gamma, but not Delta, suggesting that Omicron is phylogenetically more proximal to Alpha. We demonstrated distinct profiles of preserved indels among SARS-CoV-2 variants and sublineages, suggesting the importance of indels in viral evolution.
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Affiliation(s)
- Tetsuya Akaishi
- Department of Education and Support for Regional Medicine, Tohoku University, Seiryo-Machi 1-1, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan.
- COVID-19 Testing Center, Tohoku University, Sendai, Japan.
| | - Kei Fujiwara
- Department of Gastroenterology and Metabolism, Nagoya City University, Nagoya, Japan
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Tomaszewski T, Ali MA, Caetano-Anollés K, Caetano-Anollés G. Seasonal effects decouple SARS-CoV-2 haplotypes worldwide. F1000Res 2023; 12:267. [PMID: 37069849 PMCID: PMC10105261 DOI: 10.12688/f1000research.131522.1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/01/2023] [Indexed: 03/18/2023] Open
Abstract
Background: Variants of concern (VOCs) have been replacing each other during the still rampant COVID-19 pandemic. As a result, SARS-CoV-2 populations have evolved increasingly intricate constellations of mutations that often enhance transmissibility, disease severity, and other epidemiological characteristics. The origin and evolution of these constellations remain puzzling. Methods: Here we study the evolution of VOCs at the proteome level by analyzing about 12 million genomic sequences retrieved from GISAID on July 23, 2022. A total 183,276 mutations were identified and filtered with a relevancy heuristic. The prevalence of haplotypes and free-standing mutations was then tracked monthly in various latitude corridors of the world. Results: A chronology of 22 haplotypes defined three phases driven by protein flexibility-rigidity, environmental sensing, and immune escape. A network of haplotypes illustrated the recruitment and coalescence of mutations into major VOC constellations and seasonal effects of decoupling and loss. Protein interaction networks mediated by haplotypes predicted communications impacting the structure and function of proteins, showing the increasingly central role of molecular interactions involving the spike (S), nucleocapsid (N), and membrane (M) proteins. Haplotype markers either affected fusogenic regions while spreading along the sequence of the S-protein or clustered around binding domains. Modeling of protein structure with AlphaFold2 showed that VOC Omicron and one of its haplotypes were major contributors to the distortion of the M-protein endodomain, which behaves as a receptor of other structural proteins during virion assembly. Remarkably, VOC constellations acted cooperatively to balance the more extreme effects of individual haplotypes. Conclusions: Our study uncovers seasonal patterns of emergence and diversification occurring amid a highly dynamic evolutionary landscape of bursts and waves. The mapping of genetically-linked mutations to structures that sense environmental change with powerful ab initio modeling tools demonstrates the potential of deep-learning for COVID-19 predictive intelligence and therapeutic intervention.
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Affiliation(s)
- Tre Tomaszewski
- Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61801, USA
| | - Muhammad Asif Ali
- Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61801, USA
| | | | - Gustavo Caetano-Anollés
- Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61801, USA
- C. R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61801, USA
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Oligonucleotide usage in coronavirus genomes mimics that in exon regions in host genomes. Virol J 2023; 20:39. [PMID: 36859385 PMCID: PMC9976658 DOI: 10.1186/s12985-023-01995-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 02/19/2023] [Indexed: 03/03/2023] Open
Abstract
BACKGROUND Viruses use various host factors for their growth, and efficient growth requires efficient use of these factors. Our previous study revealed that the occurrence frequency of oligonucleotides in the influenza virus genome is distinctly different among derived hosts, and the frequency tends to adapt to the host cells in which they grow. We aimed to study the adaptation mechanisms of a zoonotic virus to host cells. METHODS Herein, we compared the frequency of oligonucleotides in the genome of alpha- and betacoronavirus with those in the genomes of humans and bats, which are typical hosts of the viruses. RESULTS By comparing the oligonucleotide frequency in coronaviruses and their host genomes, we found a statistically tested positive correlation between the frequency of coronaviruses and that of the exon regions of the host from which the virus is derived. To examine the characteristics of early-stage changes in the viral genome, which are assumed to accompany the host change from non-humans to humans, we compared the oligonucleotide frequency between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) at the beginning of the pandemic and the prevalent variants thereafter, and found changes towards the frequency of the host exon regions. CONCLUSIONS In alpha- and betacoronaviruses, the genome oligonucleotide frequency is thought to change in response to the cellular environment in which the virus is replicating, and actually the frequency has approached the frequency in exon regions in the host.
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36
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Nazmunnahar, Ahmed I, Islam MR. Risk evaluation and mitigation strategies for newly detected SARS-CoV-2 Omicron BF.7 subvariant: A brief report. Health Sci Rep 2023; 6:e1127. [PMID: 36875932 PMCID: PMC9981880 DOI: 10.1002/hsr2.1127] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 02/12/2023] [Accepted: 02/13/2023] [Indexed: 03/06/2023] Open
Abstract
Mutations of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are always going on. The pathogenic characteristics of a virus are influenced by mutations in the viral genome. Therefore, the recently identified Omicron BF.7 subvariant might harm humans. Here we aimed to evaluate the potential risks of this newly detected variant and identify possible mitigation strategies. The frequent mutation associated with SARS-CoV-2 makes it more concerning compared to other viruses. The Omicron variant of SARS-CoV-2 has unique changes in the structural amino acid. Thus, Omicron subvariants are different from other coronavirus variants in terms of viral spread, disease severity, vaccine neutralization capacity, and immunity evade. Moreover, Omicron subvariant BF.7 is an offspring of BA.4 and BA.5. Similar S glycoprotein sequences are present among BF.7, BA.4, and BA.5. There is a change in the R346T gene in the receptor binding site of Omicron BF.7 than other Omicron subvariants. This BF.7 subvariant has created a limitation in current monoclonal antibody therapy. Omicron has mutated since it emerged, and the subvariants are improving in terms of transmission as well as antibody evasion. Therefore, the healthcare authorities should pay attention to the BF.7 subvariant of Omicron. The recent upsurge may create havoc all of a sudden. Scientists and researchers across the world should monitor the nature and mutations of SARS-CoV-2 variants. Also, they should find ways to fight the current circulatory variants and any future mutations.
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Affiliation(s)
- Nazmunnahar
- Department of Sociology, Eden Women's CollegeNational University BangladeshGazipurBangladesh
| | - Iftekhar Ahmed
- Department of PharmacyUniversity of Asia PacificDhakaBangladesh
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37
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Lopes LR. Cervids ACE2 Residues that Bind the Spike Protein can Provide Susceptibility to SARS-CoV-2. ECOHEALTH 2023; 20:9-17. [PMID: 37106170 PMCID: PMC10139662 DOI: 10.1007/s10393-023-01632-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 01/18/2023] [Accepted: 03/01/2023] [Indexed: 06/11/2023]
Abstract
The susceptibility of the white-tailed deer (WTD; Odocoileus virginianus) to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has highlighted cervids as coronavirus reservoirs. This study aimed to evaluate the angiotensin-converting enzyme 2 (ACE2) residues which bind the spike protein of SARS-CoV-2 from 16 cervids to predict their potential susceptibility to SARS-CoV-2 infection. Eleven out of 16 species presented identical ACE2 key residues to WTD ACE2. Four cervids presented K31N, a variant associated with low SARS-CoV-2 susceptibility. Large herding of cervids with ACE2 key residues identical to that of the WTD can result in extensive reservoirs of SARS-CoV-2. Cervids as potential reservoirs could favor SARS-CoV-2 adaptation and the emergence of new coronavirus strains.
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Affiliation(s)
- Luciano Rodrigo Lopes
- Bioinformatics and Bio-Data Science Division, Health Informatics Department, Universidade Federal de São Paulo - UNIFESP, Rua Botucatu 862 - Prédio Leal Prado (térreo), São Paulo, SP, 04023-062, Brazil.
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38
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Carabelli AM, Peacock TP, Thorne LG, Harvey WT, Hughes J, Peacock SJ, Barclay WS, de Silva TI, Towers GJ, Robertson DL. SARS-CoV-2 variant biology: immune escape, transmission and fitness. Nat Rev Microbiol 2023; 21:162-177. [PMID: 36653446 PMCID: PMC9847462 DOI: 10.1038/s41579-022-00841-7] [Citation(s) in RCA: 254] [Impact Index Per Article: 254.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/07/2022] [Indexed: 01/19/2023]
Abstract
In late 2020, after circulating for almost a year in the human population, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exhibited a major step change in its adaptation to humans. These highly mutated forms of SARS-CoV-2 had enhanced rates of transmission relative to previous variants and were termed 'variants of concern' (VOCs). Designated Alpha, Beta, Gamma, Delta and Omicron, the VOCs emerged independently from one another, and in turn each rapidly became dominant, regionally or globally, outcompeting previous variants. The success of each VOC relative to the previously dominant variant was enabled by altered intrinsic functional properties of the virus and, to various degrees, changes to virus antigenicity conferring the ability to evade a primed immune response. The increased virus fitness associated with VOCs is the result of a complex interplay of virus biology in the context of changing human immunity due to both vaccination and prior infection. In this Review, we summarize the literature on the relative transmissibility and antigenicity of SARS-CoV-2 variants, the role of mutations at the furin spike cleavage site and of non-spike proteins, the potential importance of recombination to virus success, and SARS-CoV-2 evolution in the context of T cells, innate immunity and population immunity. SARS-CoV-2 shows a complicated relationship among virus antigenicity, transmission and virulence, which has unpredictable implications for the future trajectory and disease burden of COVID-19.
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Affiliation(s)
| | - Thomas P Peacock
- Department of Infectious Disease, St Mary's Medical School, Imperial College London, London, UK
| | - Lucy G Thorne
- Division of Infection and Immunity, University College London, London, UK
| | - William T Harvey
- MRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, UK
- Roslin Institute, University of Edinburgh, Edinburgh, UK
| | - Joseph Hughes
- MRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, UK
| | - Sharon J Peacock
- Department of Medicine, University of Cambridge, Addenbrookes Hospital, Cambridge, UK
| | - Wendy S Barclay
- Department of Infectious Disease, St Mary's Medical School, Imperial College London, London, UK
| | - Thushan I de Silva
- Department of Infection, Immunity and Cardiovascular Disease, Medical School, University of Sheffield, Sheffield, UK
| | - Greg J Towers
- Division of Infection and Immunity, University College London, London, UK
| | - David L Robertson
- MRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, UK.
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39
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Bayani F, Hashkavaei NS, Arjmand S, Rezaei S, Uskoković V, Alijanianzadeh M, Uversky VN, Ranaei Siadat SO, Mozaffari-Jovin S, Sefidbakht Y. An overview of the vaccine platforms to combat COVID-19 with a focus on the subunit vaccines. PROGRESS IN BIOPHYSICS AND MOLECULAR BIOLOGY 2023; 178:32-49. [PMID: 36801471 PMCID: PMC9938630 DOI: 10.1016/j.pbiomolbio.2023.02.004] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 02/13/2023] [Accepted: 02/16/2023] [Indexed: 02/21/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an emerging virus that has caused the recent coronavirus disease (COVID-19) global pandemic. The current approved COVID-19 vaccines have shown considerable efficiency against hospitalization and death. However, the continuation of the pandemic for more than two years and the likelihood of new strain emergence despite the global rollout of vaccination highlight the immediate need for the development and improvement of vaccines. mRNA, viral vector, and inactivated virus vaccine platforms were the first members of the worldwide approved vaccine list. Subunit vaccines. which are vaccines based on synthetic peptides or recombinant proteins, have been used in lower numbers and limited countries. The unavoidable advantages of this platform, including safety and precise immune targeting, make it a promising vaccine with wider global use in the near future. This review article summarizes the current knowledge on different vaccine platforms, focusing on the subunit vaccines and their clinical trial advancements against COVID-19.
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Affiliation(s)
- Fatemeh Bayani
- Protein Research Center, Shahid Beheshti University, Tehran, Iran
| | | | - Sareh Arjmand
- Protein Research Center, Shahid Beheshti University, Tehran, Iran
| | - Shokouh Rezaei
- Protein Research Center, Shahid Beheshti University, Tehran, Iran
| | - Vuk Uskoković
- Department of Mechanical Engineering, San Diego State University, San Diego, CA, 92182, USA; TardigradeNano LLC, Irvine, CA, 92604, USA
| | - Mahdi Alijanianzadeh
- Department of Cellular and Molecular Biology, Faculty of Biological Sciences, Kharazmi University, Tehran, Iran
| | - Vladimir N Uversky
- Department of Molecular Medicine and Byrd Alzheimer's Research Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA.
| | | | - Sina Mozaffari-Jovin
- Department of Medical Genetics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran; Medical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Yahya Sefidbakht
- Protein Research Center, Shahid Beheshti University, Tehran, Iran.
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40
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Chaguza C, Hahn AM, Petrone ME, Zhou S, Ferguson D, Breban MI, Pham K, Peña-Hernández MA, Castaldi C, Hill V, Schulz W, Swanstrom RI, Roberts SC, Grubaugh ND. Accelerated SARS-CoV-2 intrahost evolution leading to distinct genotypes during chronic infection. Cell Rep Med 2023; 4:100943. [PMID: 36791724 PMCID: PMC9906997 DOI: 10.1016/j.xcrm.2023.100943] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 10/12/2022] [Accepted: 01/20/2023] [Indexed: 01/28/2023]
Abstract
The chronic infection hypothesis for novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant emergence is increasingly gaining credence following the appearance of Omicron. Here, we investigate intrahost evolution and genetic diversity of lineage B.1.517 during a SARS-CoV-2 chronic infection lasting for 471 days (and still ongoing) with consistently recovered infectious virus and high viral genome copies. During the infection, we find an accelerated virus evolutionary rate translating to 35 nucleotide substitutions per year, approximately 2-fold higher than the global SARS-CoV-2 evolutionary rate. This intrahost evolution results in the emergence and persistence of at least three genetically distinct genotypes, suggesting the establishment of spatially structured viral populations continually reseeding different genotypes into the nasopharynx. Finally, we track the temporal dynamics of genetic diversity to identify advantageous mutations and highlight hallmark changes for chronic infection. Our findings demonstrate that untreated chronic infections accelerate SARS-CoV-2 evolution, providing an opportunity for the emergence of genetically divergent variants.
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Affiliation(s)
- Chrispin Chaguza
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
| | - Anne M Hahn
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Mary E Petrone
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA; School of Life and Environmental Sciences, University of Sydney, Sydney, NSW, Australia
| | - Shuntai Zhou
- Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, NC, USA; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - David Ferguson
- Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Mallery I Breban
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Kien Pham
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Mario A Peña-Hernández
- Department of Biological and Biomedical Sciences, Yale School of Medicine, New Haven, CT, USA
| | | | - Verity Hill
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Wade Schulz
- Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA
| | - Ronald I Swanstrom
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Scott C Roberts
- Infectious Disease, Yale School of Medicine, New Haven, CT, USA
| | - Nathan D Grubaugh
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA; Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA.
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41
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Maison DP. The Impact of Russia's War in Ukraine on the SARS-CoV-2 Evolution. Disaster Med Public Health Prep 2023; 17:e495. [PMID: 36776101 DOI: 10.1017/dmp.2023.24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/14/2023]
Affiliation(s)
- David P Maison
- Department of Tropical Medicine, Medical Microbiology, and Pharmacology, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA
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42
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Park SH, Hong SH, Kim K, Lee SW, Yon DK, Jung SJ, Abdeen Z, Ghayda RA, Ahmed MLCB, Serouri AA, Al‐Herz W, Al‐Shamsi HO, Ali S, Ali K, Baatarkhuu O, Nielsen HB, Bernini‐Carri E, Bondarenko A, Cassell A, Cham A, Chua MLK, Dadabhai S, Darre T, Davtyan H, Dragioti E, East B, Edwards RJ, Ferioli M, Georgiev T, Ghandour LA, Harapan H, Hsueh P, Mallah SI, Ikram A, Inoue S, Jacob L, Janković SM, Jayarajah U, Jesenak M, Kakodkar P, Kapata N, Kebede Y, Khader Y, Kifle M, Koh D, Maleš VK, Kotfis K, Koyanagi A, Kretchy J, Lakoh S, Lee J, Lee JY, Mendonça MDLL, Ling L, Llibre‐Guerra J, Machida M, Makurumidze R, Memish ZA, Mendoza I, Moiseev S, Nadasdy T, Nahshon C, Ñamendys‐Silva SA, Yongsi BN, Nicolasora AD, Nugmanova Z, Oh H, Oksanen A, Owopetu O, Ozguler ZO, Parperis K, Perez GE, Pongpirul K, Rademaker M, Radojevic N, Roca A, Rodriguez‐Morales AJ, Roshi E, Saeed KMI, Sah R, Sakakushev B, Sallam DE, Sathian B, Schober P, Ali PSS, Simonović Z, Singhal T, Skhvitaridze N, Solmi M, Subbaram K, Tizaoui K, Tlhakanelo JT, Torales J, Torres‐Roman JS, Tsartsalis D, Tsolmon J, Vieira DN, Rosa SGV, Wanghi G, Wollina U, Xu R, Yang L, Zia K, Zildzic M, Il Shin J, Smith L. Nonpharmaceutical interventions reduce the incidence and mortality of COVID‐19: A study based on the survey from the International COVID‐19 Research Network (ICRN). J Med Virol 2023; 95. [DOI: https:/doi.org/10.1002/jmv.28354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 09/02/2022] [Indexed: 09/03/2023]
Abstract
AbstractThe recently emerged novel coronavirus, “severe acute respiratory syndrome coronavirus‐2 (SARS‐CoV‐2),” caused a highly contagious disease called coronavirus disease 2019 (COVID‐19). It has severely damaged the world's most developed countries and has turned into a major threat for low‐ and middle‐income countries. Since its emergence in late 2019, medical interventions have been substantial, and most countries relied on public health measures collectively known as nonpharmaceutical interventions (NPIs). We aimed to centralize the accumulative knowledge of NPIs against COVID‐19 for each country under one worldwide consortium. International COVID‐19 Research Network collaborators developed a cross‐sectional online survey to assess the implications of NPIs and sanitary supply on the incidence and mortality of COVID‐19. The survey was conducted between January 1 and February 1, 2021, and participants from 92 countries/territories completed it. The association between NPIs, sanitation supplies, and incidence and mortality were examined by multivariate regression, with the log‐transformed value of population as an offset value. The majority of countries/territories applied several preventive strategies, including social distancing (100.0%), quarantine (100.0%), isolation (98.9%), and school closure (97.8%). Individual‐level preventive measures such as personal hygiene (100.0%) and wearing facial masks (94.6% at hospitals; 93.5% at mass transportation; 91.3% in mass gathering facilities) were also frequently applied. Quarantine at a designated place was negatively associated with incidence and mortality compared to home quarantine. Isolation at a designated place was also associated with reduced mortality compared to home isolation. Recommendations to use sanitizer for personal hygiene reduced incidence compared to the recommendation to use soap. Deprivation of masks was associated with increased incidence. Higher incidence and mortality were found in countries/territories with higher economic levels. Mask deprivation was pervasive regardless of economic level. NPIs against COVID‐19 such as using sanitizer, quarantine, and isolation can decrease the incidence and mortality of COVID‐19.
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Affiliation(s)
- Seung Hyun Park
- Yonsei University College of Medicine Seoul Republic of Korea
| | - Sung Hwi Hong
- Yonsei University College of Medicine Seoul Republic of Korea
| | - Kwanghyun Kim
- Department of Preventive Medicine Yonsei University College of Medicine Seoul Republic of Korea
- Department of Public Health Yonsei University Seoul Republic of Korea
| | - Seung Won Lee
- Department of Precision Medicine Sungkyunkwan University School of Medicine Suwon Republic of Korea
| | - Dong Keon Yon
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine Seoul Republic of Korea
| | - Sun Jae Jung
- Department of Preventive Medicine Yonsei University College of Medicine Seoul Republic of Korea
- Department of Public Health Yonsei University Seoul Republic of Korea
| | - Ziad Abdeen
- Department of Community Health, Faculty of Medicine Al‐Quds University East Jerusalem Palestine
| | - Ramy Abou Ghayda
- Urology Institute, University Hospitals Case Western Reserve University, Cleveland Ohio United States of America
| | | | | | | | - Humaid O. Al‐Shamsi
- Burjeel Cancer Institute, Burjeel Medical City Abu Dhabi United Arab Emirates
| | - Sheeza Ali
- School of Medicine, The Maldives National University Male Maldives
| | - Kosar Ali
- University of Sulaimani College of Medicine Sulaymaniyah Iraq
| | - Oidov Baatarkhuu
- Department of Infectious Diseases Mongolian National University of Medical Sciences Ulaanbaatar Mongolia
| | - Henning Bay Nielsen
- Department of Anesthesia and Intensive Care Zealand University Hospital Roskilde Roskilde Denmark
- Department of Nutrition Exercise and Sports, University of Copenhagen Copenhagen Denmark
| | - Enrico Bernini‐Carri
- European Centre for Disaster Medicine, Council of Europe (CEMEC) Strasbourg France
| | - Anastasiia Bondarenko
- Department of Pediatrics, Immunology, Infectious and Rare Diseases International European University Kyiv Ukraine
| | - Ayun Cassell
- John F. Kennedy Medical Center, Edison New Jersey United States of America
| | - Akway Cham
- School of Medicine, University of Juba Juba South Sudan
| | - Melvin L. K. Chua
- Department of Head and Neck and Thoracic Cancers, Division of Radiation Oncology National Cancer Centre Singapore Singapore Singapore
- Oncology Academic Programme, Duke‐NUS Medical School Singapore Singapore
- Division of Medical Sciences National Cancer Centre Singapore Singapore Singapore
| | - Sufia Dadabhai
- Department of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore Maryland United States of America
| | - Tchin Darre
- Department of Pathology University of Lomé Lome Togo
| | - Hayk Davtyan
- Tuberculosis Research and Prevention Center Yerevan Armenia
| | - Elena Dragioti
- Department of Health, Medicine and Caring Sciences Pain and Rehabilitation Centre, Linköping University Linköping Sweden
| | - Barbora East
- 3rd Department of Surgery 1st Medical Faculty of Charles University, Motol University Hospital Prague Czech Republic
| | | | - Martina Ferioli
- Respiratory and Critical Care Unit, IRCCS Azienda Ospedaliero Universitaria di Bologna Bologna Italy
| | - Tsvetoslav Georgiev
- First Department of Internal Medicine Medical University—Varna Varna Bulgaria
| | | | - Harapan Harapan
- Department of Microbiology Universitas Syiah Kuala Banda Aceh Indonesia
| | - Po‐Ren Hsueh
- Departments of Laboratory Medicine and Internal Medicine China Medical University Hospital China Medical University Taichung Taiwan
| | - Saad I. Mallah
- Royal College of Surgeons in Ireland ‐ Bahrain Al Sayh Bahrain
| | - Aamer Ikram
- National Institute of Health, Islamabad Pakistan
| | - Shigeru Inoue
- Department of Preventive Medicine and Public Health Tokyo Medical University Tokyo Japan
| | - Louis Jacob
- Research and Development Unit, Parc Sanitari Sant Joan de Déu, CIBERSAM, ISCIII, Dr. Antoni Pujadas Barcelona Spain
- Faculty of Medicine University of Versailles Saint‐Quentin‐en‐Yvelines, Montigny‐le‐Bretonneux France
| | | | - Umesh Jayarajah
- Postgraduate Institute of Medicine, University of Colombo Colombo Sri Lanka
| | - Milos Jesenak
- Department of Pediatrics, Jessenius Faculty of Medicine in Martin University Teaching Hospital in Martin, Comenius University in Bratislava Bratislava Slovakia
| | | | - Nathan Kapata
- Zambia National Public Health Institute Lusaka Zambia
| | - Yohannes Kebede
- Department of Health, Behavior and Society Jimma University Jimma Ethiopia
| | - Yousef Khader
- Department of Public Health Jordan University of Science and Technology Irbid Jordan
| | - Meron Kifle
- Department of Clinical Medicine, Centre for Tropical Medicine and Global Health, Nuffield University of Oxford Oxford United Kingdom
| | - David Koh
- Saw Swee Hock School of Public Health National University of Singapore, Singapore Singapore
| | - Višnja Kokić Maleš
- Clinical Hospital Centre Split, University Department of Health Studies University of Split Croatia
| | - Katarzyna Kotfis
- Department of Anesthesiology, Intensive Therapy and Acute Intoxications Pomeranian Medical University in Szczecin Szczecin Poland
| | - Ai Koyanagi
- Parc Sanitari Sant Joan de Deu, ICREA, CIBERSAM, ISCIII Barcelona Spain
| | - James‐Paul Kretchy
- Public Health Unit, School of Medicine and Health Sciences Central University Accra Ghana
| | - Sulaiman Lakoh
- College of Medicine and Allied Health Sciences University of Sierra Leone Freetown Sierra Leone
| | - Jinhee Lee
- Department of Psychiatry Yonsei University Wonju College of Medicine, Wonju‐si Gangwon‐do Republic of Korea
| | - Jun Young Lee
- Department of Nephrology Yonsei University Wonju College of Medicine, Wonju‐si Gangwon‐do Republic of Korea
| | | | - Lowell Ling
- The Chinese University of Hong Kong, Hong Kong SAR China
| | | | - Masaki Machida
- Department of Preventive Medicine and Public Health Tokyo Medical University Tokyo Japan
| | - Richard Makurumidze
- Family Medicine, Global and Public Health Unit University of Zimbabwe Faculty of Medicine and Health Sciences Harare Zimbabwe
| | - Ziad A. Memish
- Director Research and Innovation Center, King Saud Medical City, Ministry of Health & College of Medicine Alfaisal University Riyadh Saudi Arabia
| | - Ivan Mendoza
- Tropical Cardiology Central University of Venezuela, Caracas Venezuela
| | - Sergey Moiseev
- Sechenov First Moscow State Medical University Moscow Russia
| | | | - Chen Nahshon
- Department of Gynecologic Surgery & Oncology Carmel Medical Center Haifa Israel
| | - Silvio A. Ñamendys‐Silva
- Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran, Instituto Nacional de Cancerologia Mexico City Mexico
| | | | | | | | - Hans Oh
- University of Southern California, Los Angeles California United States of America
| | - Atte Oksanen
- Faculty of Social Sciences Tampere University Tampere Finland
| | - Oluwatomi Owopetu
- Department of Community Medicine University College Hospital Ibadan Nigeria
| | - Zeynep Ozge Ozguler
- General Directorate of Public Health Ministry of Health of Turkey Adnan Saygun St, Çankaya Ankara Turkey
| | | | | | - Krit Pongpirul
- School of Global Health and Department of Preventive and Social Medicine, Faculty of Medicine Chulalongkorn University Bangkok Thailand
| | - Marius Rademaker
- Clinical Trials New Zealand, Waikato Hospital Campus Hamilton New Zealand
| | | | - Anna Roca
- MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, Fajara Gambia
| | - Alfonso J. Rodriguez‐Morales
- Grupo de Investigación Biomedicina Faculty of Medicine, Fundación Universitaria Autónoma de las Americas ‐ Institución Universitaria Visión de las Américas Pereira Colombia
- Master of Clinical Epidemiology and Biostatistics, Universidad Cientifica del Sur Lima Peru
- Gilbert and Rose‐Marie Chagoury School of Medicine, Lebanese American University Beirut Lebanon
| | - Enver Roshi
- Department of Public Health, Faculty of Medicine University of Medicine of Tirana Albania
| | | | - Ranjit Sah
- Tribhuvan University Teaching Hospital, Institute of Medicine Kathmandu Nepal
| | - Boris Sakakushev
- RIMU/Research Institute of Medical University Plovdiv Bulgaria
- Chair of Propedeutics of Surgical Diseases
- University Hospital St. George, Plovdiv, Bulgaria
| | - Dina E. Sallam
- Pediatrics and Pediatric Nephrology Department Faculty of Medicine Ain Shams University Cairo Egypt
| | - Brijesh Sathian
- Geriatrics and Long Term Care Department Rumailah Hospital Doha Qatar
| | - Patrick Schober
- Department of Anesthesiology Amsterdam UMC location Vrije Universiteit Amsterdam Amsterdam Netherlands
| | | | | | - Tanu Singhal
- Kokilaben Dhirubhai Ambani Hospital and Research Institute Mumbai India
| | | | - Marco Solmi
- Department of Psychiatry University of Ottawa Ontario Canada
- Department of Mental Health Ontario Canada
- Ottawa Hospital Research Institute (OHRI) Clinical Epidemiology Program University of Ottawa, Ottawa Ontario Canada
- Department of Child and Adolescent Psychiatry Charité Universitätsmedizin Berlin Germany
| | - Kannan Subbaram
- School of Medicine, The Maldives National University Male Maldives
| | - Kalthoum Tizaoui
- Laboratory of Microorganisms and Actives Biomolecules, Faculty of Sciences of Tunis University Tunis El Manar Tunis Tunisia
| | - John Thato Tlhakanelo
- Department of Family Medicine and Public Health University of Botswana, Faculty of Medicine Gaborone Botswana
| | - Julio Torales
- National University of Asunción, School of Medical Sciences San Lorenzo Paraguay
| | | | | | - Jadamba Tsolmon
- Mongolian National University of Medical Sciences (MNUMS) Ulaanbaatar Mongolia
| | | | | | - Guy Wanghi
- Department of Basic Sciences, University of Kinshasa Faculty of Medicine, Laboratory of Physiology Kinshasa, Democratic Republic of the Congo
| | - Uwe Wollina
- Department of Dermatology and Allergology Städtisches Klinikum Dresden – Academic Teaching Hospital Dresden Germany
| | - Ren‐He Xu
- Faculty of Health Sciences University of Macau Macau China
| | - Lin Yang
- Department of Cancer Epidemiology and Prevention Research, Cancer Care Alberta, Alberta Health Services School of Medicine, University of Calgary Calgary Canada
| | - Kashif Zia
- School of Health and Wellbeing, University of Glasgow Glasgow United Kingdom
| | - Muharem Zildzic
- Academy of Medical Science of Bosnia and Herzegovina Sarajevo Bosnia and Herzegovina
| | - Jae Il Shin
- Department of Pediatrics Yonsei University College of Medicine Seoul Republic of Korea
| | - Lee Smith
- Centre for Health Performance and Wellbeing Anglia Ruskin University Cambridge United Kingdom
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43
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Wang ML, Lin Y, Hou JF, Yang YP, Chien Y, Sun YC, Liang KH, Yang DM, Chang TJ, Wu CH, Kao SY, Hung KF. The Omicron variant wave: Where are we now and what are the prospects? J Chin Med Assoc 2023; 86:135-137. [PMID: 36524941 DOI: 10.1097/jcma.0000000000000863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
The Omicron variant BA.2 is the dominant form of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak in many countries, including those that have already implemented the strictest quarantine mandates that effectively contained the spread of the previous variants. Although many individuals were partially or fully vaccinated, confirmed Omicron infections have far surpassed all other variants combined in just a couple of months since the Omicron variant emerged. The ChAdOx1-S (AstraZeneca), BNT162b2 (Pfizer-BioNTech), and mRNA-1273 (Moderna) vaccines offer protection against the severe illness of SARS-CoV-2 infection; however, these currently available vaccines are less effective in terms of preventing Omicron infections. As a result, a booster dose of BNT162b2 or mRNA-1273 is recommended for individuals >12 years old who had received their second dose of the approved vaccines for >5 months. Herein, we review the studies that assessed the clinical benefits of the booster dose of vaccines against Omicron infections. We also analyzed public data to address whether early booster vaccination effectively prevented the surge of the Omicron infections. Finally, we discuss the consideration of a fourth dose of vaccine as a way to prevent possible upcoming infections.
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Affiliation(s)
- Mong-Lien Wang
- Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- Institute of Food Safety and Health Risk Assessment, School of Pharmaceutical Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
| | - Yang Lin
- Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
| | - Ju-Fen Hou
- Department of Stomatology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- Department of Nursing, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
| | - Yi-Ping Yang
- Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
| | - Yueh Chien
- Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
| | - Yi-Chen Sun
- College of Medicine, Tzu-Chi University, Hualien, Taiwan, ROC
- Department of Ophthalmology, Taipei Tzu Chi Hospital, The Buddhist Tzu Chi Medical Foundation, Taipei, Taiwan, ROC
| | - Kung-Hao Liang
- Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
| | - De-Ming Yang
- Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
| | - Tai-Jay Chang
- Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
| | - Cheng-Hsien Wu
- Department of Stomatology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- Department of Dentistry, School of Dentistry, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
| | - Shou-Yen Kao
- Department of Stomatology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- Department of Dentistry, School of Dentistry, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
| | - Kai-Feng Hung
- Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- Department of Dentistry, School of Dentistry, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
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44
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Shiraz R, Tripathi S. Enhanced recombination among Omicron subvariants of SARS-CoV-2 contributes to viral immune escape. J Med Virol 2023; 95:e28519. [PMID: 36691935 DOI: 10.1002/jmv.28519] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 12/14/2022] [Accepted: 01/19/2023] [Indexed: 01/25/2023]
Abstract
Genetic recombination is an important driver of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) evolution, which requires the coinfection of a single host cell with different SARS-CoV-2 strains. To understand the emergence and prevalence of recombinant SARS-CoV-2 lineages through time and space, we analyzed SARS-CoV-2 genome sequences collected from November 2019 to July 2022. We observed an extraordinary increase in the emergence of SARS-CoV-2 recombinant lineages during the Omicron wave, particularly in Northern America and Europe. This phenomenon was independent of the sequencing frequency or genetic diversity of circulating SARS-CoV-2 strains. The recombination breakpoints were more prevalent in the 3'-untranslated region of the viral genome. Importantly, we noted the enrichment of certain amino acids in the Spike protein of recombinant lineages, which have been reported to confer immune escape from neutralizing antibodies and increase angiotensin-converting enzyme 2 receptor binding in some cases. We also observed I42V amino acid change genetically fixated in the NSP14 of the Omicron lineage, which needs further characterization for its potential role in enhanced recombination. Overall, we report the important and timely observation of accelerated recombination in the currently circulating SARS-CoV-2 Omicron variants and explore their potential contribution to viral fitness, particularly immune escape.
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Affiliation(s)
- Rishad Shiraz
- Microbiology and Cell Biology Department, Indian Institute of Science, Bengaluru, India.,Centre for Infectious Disease Research, Indian Institute of Science, Bengaluru, India
| | - Shashank Tripathi
- Microbiology and Cell Biology Department, Indian Institute of Science, Bengaluru, India.,Centre for Infectious Disease Research, Indian Institute of Science, Bengaluru, India
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45
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González-Parra G, Arenas AJ. Mathematical Modeling of SARS-CoV-2 Omicron Wave under Vaccination Effects. COMPUTATION (BASEL, SWITZERLAND) 2023; 11:36. [PMID: 38957648 PMCID: PMC11218807 DOI: 10.3390/computation11020036] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/04/2024]
Abstract
Over the course of the COVID-19 pandemic millions of deaths and hospitalizations have been reported. Different SARS-CoV-2 variants of concern have been recognized during this pandemic and some of these variants of concern have caused uncertainty and changes in the dynamics. The Omicron variant has caused a large amount of infected cases in the US and worldwide. The average number of deaths during the Omicron wave toll increased in comparison with previous SARS-CoV-2 waves. We studied the Omicron wave by using a highly nonlinear mathematical model for the COVID-19 pandemic. The novel model includes individuals who are vaccinated and asymptomatic, which influences the dynamics of SARS-CoV-2. Moreover, the model considers the waning of the immunity and efficacy of the vaccine against the Omicron strain. This study uses the facts that the Omicron strain has a higher transmissibility than the previous circulating SARS-CoV-2 strain but is less deadly. Preliminary studies have found that Omicron has a lower case fatality rate compared to previous circulating SARS-CoV-2 strains. The simulation results show that even if the Omicron strain is less deadly it might cause more deaths, hospitalizations and infections. We provide a variety of scenarios that help to obtain insight about the Omicron wave and its consequences. The proposed mathematical model, in conjunction with the simulations, provides an explanation for a large Omicron wave under various conditions related to vaccines and transmissibility. These results provide an awareness that new SARS-CoV-2 variants can cause more deaths even if their fatality rate is lower.
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Affiliation(s)
- Gilberto González-Parra
- Department of Mathematics, New Mexico Tech, New Mexico Institute of Mining and Technology, Socorro, NM 87801, USA
| | - Abraham J. Arenas
- Departamento de Matematicas y Estadistica, Universidad de Cordoba, Monteria 230002, Colombia
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Dhama K, Nainu F, Frediansyah A, Yatoo MI, Mohapatra RK, Chakraborty S, Zhou H, Islam MR, Mamada SS, Kusuma HI, Rabaan AA, Alhumaid S, Mutair AA, Iqhrammullah M, Al-Tawfiq JA, Mohaini MA, Alsalman AJ, Tuli HS, Chakraborty C, Harapan H. Global emerging Omicron variant of SARS-CoV-2: Impacts, challenges and strategies. J Infect Public Health 2023; 16:4-14. [PMID: 36446204 PMCID: PMC9675435 DOI: 10.1016/j.jiph.2022.11.024] [Citation(s) in RCA: 99] [Impact Index Per Article: 99.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 11/06/2022] [Accepted: 11/16/2022] [Indexed: 11/21/2022] Open
Abstract
Newly emerging variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are continuously posing high global public health concerns and panic resulting in waves of coronavirus disease 2019 (COVID-19) pandemic. Depending on the extent of genomic variations, mutations and adaptation, few of the variants gain the ability to spread quickly across many countries, acquire higher virulency and ability to cause severe disease, morbidity and mortality. These variants have been implicated in lessening the efficacy of the current COVID-19 vaccines and immunotherapies resulting in break-through viral infections in vaccinated individuals and recovered patients. Altogether, these could hinder the protective herd immunity to be achieved through the ongoing progressive COVID-19 vaccination. Currently, the only variant of interest of SARS-CoV-2 is Omicron that was first identified in South Africa. In this review, we present the overview on the emerging SARS-CoV-2 variants with a special focus on the Omicron variant, its lineages and hybrid variants. We discuss the hypotheses of the origin, genetic change and underlying molecular mechanism behind higher transmissibility and immune escape of Omicron variant. Major concerns related to Omicron including the efficacy of the current available immunotherapeutics and vaccines, transmissibility, disease severity, and mortality are discussed. In the last part, challenges and strategies to counter Omicron variant, its lineages and hybrid variants amid the ongoing COVID-19 pandemic are presented.
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Affiliation(s)
- Kuldeep Dhama
- Division of Pathology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, Uttar Pradesh, India.
| | - Firzan Nainu
- Department of Pharmacy, Faculty of Pharmacy, Hasanuddin University, Makassar 90245, Indonesia
| | - Andri Frediansyah
- Research Division for Natural Product Technology (BPTBA), National Research and Innovation Agency (BRIN), Gunungkidul, Yogyakarta 55861, Indonesia
| | - Mohd Iqbal Yatoo
- Division of Veterinary Clinical Complex, Faculty of Veterinary Sciences and Animal Husbandry Shuhama, Sher-E-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar, Srinagar, Jammu and Kashmir 190006, India
| | - Ranjan K Mohapatra
- Department of Chemistry, Government College of Engineering, Keonjhar 758002, Odisha, India
| | - Sandip Chakraborty
- Department of Veterinary Microbiology, College of Veterinary Sciences and Animal Husbandry, R.K. Nagar, West Tripura, Tripura, India
| | - Hao Zhou
- College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China; Department of Microbiology, NYU Grossman School of Medicine, New York 10016, USA
| | - Md Rabiul Islam
- Department of Pharmacy, University of Asia Pacific, 74/A Green Road, Farmgate, Dhaka 1205, Bangladesh
| | - Sukamto S Mamada
- Department of Pharmacy, Faculty of Pharmacy, Hasanuddin University, Makassar 90245, Indonesia
| | - Hendrix Indra Kusuma
- Medical Research Unit, School of Medicine, Universitas Syiah Kuala, Banda Aceh, Aceh 23111, Indonesia; Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia; Biology Education Department, Faculty of Tarbiyah and Teacher Training, Universitas Islam Negeri Ar-Raniry, Jl. Syeikh Abdur Rauf, Kopelma Darussalaml, Banda Aceh 23111, Indonesia
| | - Ali A Rabaan
- Molecular Diagnostic Laboratory, Johns Hopkins Aramco Healthcare, Dhahran 31311, Saudi Arabia; College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia; Department of Public Health and Nutrition, The University of Haripur, Haripur 22610, Pakistan
| | - Saad Alhumaid
- Administration of Pharmaceutical Care, Al-Ahsa Health Cluster, Ministry of Health, Al-Ahsa 31982, Saudi Arabia
| | - Abbas Al Mutair
- Research Center, Almoosa Specialist Hospital, Al-Ahsa 36342, Saudi Arabia; College of Nursing, Prince Nora University, Riyadh 11564, Saudi Arabia; School of Nursing, Wollongong University, Wollongong, NSW 2522, Australia; Nursing Department, Prince Sultan Military College of Health Sciences, Dhahran 33048, Saudi Arabia
| | - Muhammad Iqhrammullah
- Graduate School of Mathematics and Applied Sciences, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia
| | - Jaffar A Al-Tawfiq
- Specialty Internal Medicine and Quality Department, Johns Hopkins Aramco Healthcare, Dhahran, Saudi Arabia; Infectious Disease Division, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA; Infectious Disease Division, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mohammed Al Mohaini
- Basic Sciences Department, College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Al-Ahsa 31982, Saudi Arabia; King Abdullah International Medical Research Center, Al-Ahsa 31982, Saudi Arabia
| | - Abdulkhaliq J Alsalman
- Department of Clinical Pharmacy, Faculty of Pharmacy, Northern Border University, Rafha 91911, Saudi Arabia
| | - Hardeep Singh Tuli
- Department of Biotechnology, Maharishi Markandeshwar University, Mullana, Ambala 133207, Haryana, India
| | - Chiranjib Chakraborty
- Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Barasat-Barrackpore Road, Kolkata, West Bengal 700126, India
| | - Harapan Harapan
- Medical Research Unit, School of Medicine, Universitas Syiah Kuala, Banda Aceh, Aceh 23111, Indonesia; Tropical Diseases Centre, School of Medicine, Universitas Syiah Kuala, Banda Aceh, Aceh 23111, Indonesia; Department of Microbiology, School of Medicine, Universitas Syiah Kuala, Banda Aceh, Aceh 23111, Indonesia.
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47
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Djordjevic M, Markovic S, Salom I, Djordjevic M. Understanding risk factors of a new variant outburst through global analysis of Omicron transmissibility. ENVIRONMENTAL RESEARCH 2023; 216:114446. [PMID: 36208783 DOI: 10.1016/j.envres.2022.114446] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 09/11/2022] [Accepted: 09/25/2022] [Indexed: 06/16/2023]
Abstract
The emergence of a new virus variant is generally recognized by its usually sudden and rapid spread (outburst) in a certain world region. Due to the near-exponential rate of initial expansion, the new strain may not be detected at its true geographical origin but in the area with the most favorable conditions leading to the fastest exponential growth. Therefore, it is crucial to understand better the factors that promote such outbursts, which we address in the example of analyzing global Omicron transmissibility during its global emergence/outburst in November 2021-February 2022. As predictors, we assemble a number of potentially relevant factors: vaccinations (both full and boosters), different measures of population mobility (provided by Google), estimated stringency of measures, the prevalence of chronic diseases, population age, the timing of the outburst, and several other socio-demographic variables. As a proxy for natural immunity (prevalence of prior infections in population), we use cumulative numbers of COVID-19 deaths. As a response variable (transmissibility measure), we use the estimated effective reproduction number (Re) averaged in the vicinity of the outburst maxima. To select significant predictors of Re, we use machine learning regressions that employ feature selection, including methods based on ensembles of decision trees (Random Forest and Gradient Boosting). We identify the young population, earlier infection onset, higher mobility, low natural immunity, and low booster prevalence as likely direct risk factors. Interestingly, we find that all these risk factors were significantly higher for Africa, though curiously somewhat lower in Southern African countries (where the outburst emerged) compared to other African countries. Therefore, while the risk factors related to the virus transmissibility clearly promote the outburst of a new virus variant, specific regions/countries where the outburst actually happens may be related to less evident factors, possibly random in nature.
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Affiliation(s)
- Marko Djordjevic
- Quantitative Biology Group, Institute of Physiology and Biochemistry, Faculty of Biology, University of Belgrade, Serbia.
| | - Sofija Markovic
- Quantitative Biology Group, Institute of Physiology and Biochemistry, Faculty of Biology, University of Belgrade, Serbia
| | - Igor Salom
- Institute of Physics Belgrade, National Institute of the Republic of Serbia, University of Belgrade, Serbia
| | - Magdalena Djordjevic
- Institute of Physics Belgrade, National Institute of the Republic of Serbia, University of Belgrade, Serbia
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48
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Magiorkinis G. On the evolution of SARS-CoV-2 and the emergence of variants of concern. Trends Microbiol 2023; 31:5-8. [PMID: 36344310 PMCID: PMC9595369 DOI: 10.1016/j.tim.2022.10.008] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 10/14/2022] [Accepted: 10/18/2022] [Indexed: 11/06/2022]
Abstract
The epidemiology of COVID-19 has dramatically changed since the beginning of the pandemic as we witnessed significant changes in transmissibility and pathogenicity with the emergence of SARS-CoV-2 variants of concern (VoCs). Here I present and comment on working hypotheses about the evolutionary dynamics of the emergence of VoCs.
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Affiliation(s)
- Gkikas Magiorkinis
- Department of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens, Athens, Greece.
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49
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Liu Y. Attenuation and Degeneration of SARS-CoV-2 Despite Adaptive Evolution. Cureus 2023; 15:e33316. [PMID: 36741655 PMCID: PMC9894646 DOI: 10.7759/cureus.33316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 01/02/2023] [Indexed: 01/04/2023] Open
Abstract
The evolution of severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) has followed similar trends as other RNA viruses, such as human immunodeficiency virus type 1 and the influenza A virus. Rapid initial diversification was followed by strong competition and a rapid succession of dominant variants. Host-initiated RNA editing has been the primary mechanism for introducing mutations. A significant number of mutations detrimental to viral replication have been quickly purged. Fixed mutations are mostly diversifying mutations selected for host adaptation and immune evasion, with the latter accounting for the majority of the mutations. However, immune evasion often comes at the cost of functionality, and thus, optimal functionality is still far from being accomplished. Instead, selection for antibody-escaping variants and accumulation of near-neutral mutations have led to suboptimal codon usage and reduced replicative capacity, as demonstrated in non-respiratory cell lines. Beneficial adaptation of the virus includes reduced infectivity in lung tissues and increased tropism for the upper airway, resulting in shorter incubation periods, milder diseases, and more efficient transmission between people.
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Affiliation(s)
- Yingguang Liu
- Molecular and Cellular Sciences, Liberty University College of Osteopathic Medicine, Lynchburg, USA
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50
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Campos C, Colomer-Castell S, Garcia-Cehic D, Gregori J, Andrés C, Piñana M, González-Sánchez A, Borràs B, Parés-Badell O, Adombi CM, Ibañez-Lligoña M, Esperalba J, Codina MG, Rando-Segura A, Saubí N, Esteban JI, Rodriguez-Frías F, Pumarola T, Antón A, Quer J. The frequency of defective genomes in Omicron differs from that of the Alpha, Beta and Delta variants. Sci Rep 2022; 12:22571. [PMID: 36581627 PMCID: PMC9799681 DOI: 10.1038/s41598-022-24918-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 11/22/2022] [Indexed: 12/31/2022] Open
Abstract
The SARS-CoV-2 Omicron variant emerged showing higher transmissibility and possibly higher resistance to current COVID-19 vaccines than other variants dominating the global pandemic. In March 2020 we performed a study in clinical samples, where we found that a portion of genomes in the SARS-CoV-2 viral population accumulated deletions immediately before the S1/S2 cleavage site (furin-like cleavage site, PRRAR/S) of the spike gene, generating a frameshift and appearance of a premature stop codon. The main aim of this study was to determine the frequency of defective deletions in prevalent variants from the first to sixth pandemic waves in our setting and discuss whether the differences observed might support epidemiological proposals. The complete SARS-CoV-2 spike gene was deeply studied by next-generation sequencing using the MiSeq platform. More than 90 million reads were obtained from respiratory swab specimens of 78 COVID-19 patients with mild infection caused by the predominant variants circulating in the Barcelona city area during the six pandemic waves: B.1.5, B.1.1, B.1.177, Alpha, Beta, Delta, and Omicron. The frequency of defective genomes found in variants dominating the first and second waves was similar to that seen in Omicron, but differed from the frequencies seen in the Alpha, Beta and Delta variants. The changing pattern of mutations seen in the various SARS-CoV-2 variants driving the pandemic waves over time can affect viral transmission and immune escape. Here we discuss the putative biological effects of defective deletions naturally occurring before the S1/S2 cleavage site during adaption of the virus to human infection.
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Affiliation(s)
- Carolina Campos
- Liver Diseases-Viral Hepatitis, Liver Unit, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain
- Biochemistry and Molecular Biology Department, Universitat Autònoma de Barcelona (UAB), Campus de La UAB, Plaça Cívica, 08193, Bellaterra, Spain
| | - Sergi Colomer-Castell
- Liver Diseases-Viral Hepatitis, Liver Unit, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain
- Biochemistry and Molecular Biology Department, Universitat Autònoma de Barcelona (UAB), Campus de La UAB, Plaça Cívica, 08193, Bellaterra, Spain
| | - Damir Garcia-Cehic
- Liver Diseases-Viral Hepatitis, Liver Unit, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain
| | - Josep Gregori
- Liver Diseases-Viral Hepatitis, Liver Unit, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain
| | - Cristina Andrés
- Microbiology Department, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain
| | - Maria Piñana
- Microbiology Department, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain
| | - Alejandra González-Sánchez
- Microbiology Department, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain
| | - Blanca Borràs
- Preventive Medicine, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain
| | - Oleguer Parés-Badell
- Preventive Medicine, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain
| | - Caroline Melanie Adombi
- Liver Diseases-Viral Hepatitis, Liver Unit, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain
| | - Marta Ibañez-Lligoña
- Liver Diseases-Viral Hepatitis, Liver Unit, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain
| | - Juliana Esperalba
- Microbiology Department, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain
| | - Maria Gema Codina
- Microbiology Department, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain
| | - Ariadna Rando-Segura
- Microbiology Department, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain
| | - Narcis Saubí
- Microbiology Department, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain
| | - Juan Ignacio Esteban
- Liver Diseases-Viral Hepatitis, Liver Unit, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain
- Medicine Department, Universitat Autònoma de Barcelona (UAB), Campus de La UAB, Plaça Cívica, 08193, Bellaterra, Spain
| | - Francisco Rodriguez-Frías
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain
- Biochemistry and Molecular Biology Department, Universitat Autònoma de Barcelona (UAB), Campus de La UAB, Plaça Cívica, 08193, Bellaterra, Spain
- Biochemistry Department, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain
| | - Tomàs Pumarola
- Microbiology Department, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain
- Microbiology Department, Universitat Autònoma de Barcelona (UAB), Campus de La UAB, Plaça Cívica, 08193, Bellaterra, Spain
| | - Andrés Antón
- Microbiology Department, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain.
- Microbiology Department, Universitat Autònoma de Barcelona (UAB), Campus de La UAB, Plaça Cívica, 08193, Bellaterra, Spain.
| | - Josep Quer
- Liver Diseases-Viral Hepatitis, Liver Unit, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain.
- Biochemistry and Molecular Biology Department, Universitat Autònoma de Barcelona (UAB), Campus de La UAB, Plaça Cívica, 08193, Bellaterra, Spain.
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