51
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Fricke C, Pfaff F, Ulrich L, Halwe NJ, Schön J, Timm L, Hoffmann W, Rauch S, Petsch B, Hoffmann D, Beer M, Corleis B, Dorhoi A. SARS-CoV-2 variants of concern elicit divergent early immune responses in hACE2 transgenic mice. Eur J Immunol 2023; 53:e2250332. [PMID: 37609807 DOI: 10.1002/eji.202250332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 07/20/2023] [Accepted: 08/21/2023] [Indexed: 08/24/2023]
Abstract
Knowledge about early immunity to SARS-CoV-2 variants of concern mainly comes from the analysis of human blood. Such data provide limited information about host responses at the site of infection and largely miss the initial events. To gain insights into compartmentalization and the early dynamics of host responses to different SARS-CoV-2 variants, we utilized human angiotensin converting enzyme 2 (hACE2) transgenic mice and tracked immune changes during the first days after infection by RNAseq, multiplex assays, and flow cytometry. Viral challenge infection led to divergent viral loads in the lungs, distinct inflammatory patterns, and innate immune cell accumulation in response to ancestral SARS-CoV-2, Beta (B.1.351) and Delta (B.1.617.2) variant of concern (VOC). Compared to other SARS-CoV-2 variants, infection with Beta (B.1.351) VOC spread promptly to the lungs, leading to increased inflammatory responses. SARS-CoV-2-specific antibodies and T cells developed within the first 7 days postinfection and were required to reduce viral spread and replication. Our studies show that VOCs differentially trigger transcriptional profiles and inflammation. This information contributes to the basic understanding of immune responses immediately postexposure to SARS-CoV-2 and is relevant for developing pan-VOC interventions including prophylactic vaccines.
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Affiliation(s)
- Charlie Fricke
- Institute of Immunology, Friedrich-Loeffler-Institut, Greifswald-Insel Riems, Germany
| | - Florian Pfaff
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Greifswald-Insel Riems, Germany
| | - Lorenz Ulrich
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Greifswald-Insel Riems, Germany
| | - Nico Joel Halwe
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Greifswald-Insel Riems, Germany
| | - Jacob Schön
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Greifswald-Insel Riems, Germany
| | - Laura Timm
- Institute of Immunology, Friedrich-Loeffler-Institut, Greifswald-Insel Riems, Germany
| | - Weda Hoffmann
- Institute of Immunology, Friedrich-Loeffler-Institut, Greifswald-Insel Riems, Germany
| | | | | | - Donata Hoffmann
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Greifswald-Insel Riems, Germany
| | - Martin Beer
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Greifswald-Insel Riems, Germany
| | - Björn Corleis
- Institute of Immunology, Friedrich-Loeffler-Institut, Greifswald-Insel Riems, Germany
| | - Anca Dorhoi
- Institute of Immunology, Friedrich-Loeffler-Institut, Greifswald-Insel Riems, Germany
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52
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Saksena NK, Reddy SB, Miranda-Saksena M, Cardoso THS, Silva EMA, Ferreira JC, Rabeh WM. SARS-CoV-2 variants, its recombinants and epigenomic exploitation of host defenses. Biochim Biophys Acta Mol Basis Dis 2023; 1869:166836. [PMID: 37549720 DOI: 10.1016/j.bbadis.2023.166836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 07/17/2023] [Accepted: 07/31/2023] [Indexed: 08/09/2023]
Abstract
Since 2003, we have seen the emergence of novel viruses, such as SARS-CoV-1, MERS, ZIKA, swine flu virus H1N1, Marburg, Monkeypox, Ebola, and SARS-CoV-2, but none of them gained pandemic proportions similar to SARS-CoV-2. This could be attributed to unique viral traits, allowing its rapid global dissemination following its emergence in October 2019 in Wuhan, China, which appears to be primarily driven by the emergence of highly transmissible and virulent variants that also associate, in some cases, with severe disease and considerable mortality caused by fatal pneumonia, acute respiratory distress syndrome (ARDS) in infected individuals. Mechanistically, several factors are involved in viral pathogenesis, and epigenetic alterations take the front seat in host-virus interactions. The molecular basis of all viral infections, including SARS-CoV-2, tightly hinges on the transitory silencing of the host gene machinery via epigenetic modulation. SARS-CoV-2 also hijacks and subdues the host gene machinery, leading to epigenetic modulation of the critical host elements responsible for antiviral immunity. Epigenomics is a powerful, unexplored avenue that can provide a profound understanding of virus-host interactions and lead to the development of epigenome-based therapies and vaccines to counter viruses. This review discusses current developments in SARS-CoV-2 variation and its role in epigenetic modulation in infected hosts. This review provides an overview, especially in the context of emerging viral strains, their recombinants, and their possible roles in the epigenetic exploitation of host defense and viral pathogenesis. It provides insights into host-virus interactions at the molecular, genomic, and immunological levels and sheds light on the future of epigenomics-based therapies for SARS-CoV-2 infection.
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Affiliation(s)
- Nitin K Saksena
- Victoria University, Footscray Campus, Melbourne, VIC. Australia.
| | - Srinivasa Bonam Reddy
- Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX 77555, USA
| | | | - Thyago H S Cardoso
- OMICS Centre of Excellence, G42 Healthcare, Mazdar City, Abu Dhabi, United Arab Emirates.
| | - Edson M A Silva
- Science Division, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Juliana C Ferreira
- Science Division, New York University Abu Dhabi, PO Box 129188, Abu Dhabi, United Arab Emirates.
| | - Wael M Rabeh
- Science Division, New York University Abu Dhabi, PO Box 129188, Abu Dhabi, United Arab Emirates.
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53
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Flagg M, Goldin K, Pérez-Pérez L, Singh M, Williamson BN, Pruett N, Hoang CD, de Wit E. Low level of tonic interferon signalling is associated with enhanced susceptibility to SARS-CoV-2 variants of concern in human lung organoids. Emerg Microbes Infect 2023; 12:2276338. [PMID: 37883246 PMCID: PMC10732190 DOI: 10.1080/22221751.2023.2276338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 10/23/2023] [Indexed: 10/28/2023]
Abstract
There is tremendous heterogeneity in the severity of COVID-19 disease in the human population, and the mechanisms governing the development of severe disease remain incompletely understood. The emergence of SARS-CoV-2 variants of concern (VOC) Delta (B.1.617.2) and Omicron (B.1.1.529) further compounded this heterogeneity. Virus replication and host cell damage in the distal lung is often associated with severe clinical disease, making this an important site to consider when evaluating pathogenicity of SARS-CoV-2 VOCs. Using distal human lung organoids (hLOs) derived from multiple human donors, we compared the fitness and pathogenicity of SARS-CoV-2 VOC Delta and Omicron, along with an ancestral clade B variant D614G, and evaluated donor-dependent differences in susceptibility to infection. We observed substantial attenuation of Omicron in hLOs and demonstrated enhanced susceptibility to Omicron and D614G replication in hLOs from one donor. Transcriptomic analysis revealed that increased susceptibility to SARS-CoV-2 infection in these hLOs was associated with reduced tonic interferon signaling activity at baseline. We show that hLOs can be used to model heterogeneity of SARS-CoV-2 pathogenesis in humans, and propose that variability in tonic interferon signaling set point may impact susceptibility to SARS-CoV-2 VOCs and subsequent COVID-19 disease progression.
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Affiliation(s)
- Meaghan Flagg
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, USA
| | - Kerry Goldin
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, USA
| | - Lizzette Pérez-Pérez
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, USA
| | - Manmeet Singh
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, USA
| | - Brandi N. Williamson
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, USA
| | - Nathanael Pruett
- Thoracic Surgery Branch, Division of Intramural Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Chuong D. Hoang
- Thoracic Surgery Branch, Division of Intramural Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Emmie de Wit
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, USA
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54
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Hu Y, Hu Q, Li Y, Lu L, Xiang Z, Yin Z, Kabelitz D, Wu Y. γδ T cells: origin and fate, subsets, diseases and immunotherapy. Signal Transduct Target Ther 2023; 8:434. [PMID: 37989744 PMCID: PMC10663641 DOI: 10.1038/s41392-023-01653-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 09/07/2023] [Accepted: 09/12/2023] [Indexed: 11/23/2023] Open
Abstract
The intricacy of diseases, shaped by intrinsic processes like immune system exhaustion and hyperactivation, highlights the potential of immune renormalization as a promising strategy in disease treatment. In recent years, our primary focus has centered on γδ T cell-based immunotherapy, particularly pioneering the use of allogeneic Vδ2+ γδ T cells for treating late-stage solid tumors and tuberculosis patients. However, we recognize untapped potential and optimization opportunities to fully harness γδ T cell effector functions in immunotherapy. This review aims to thoroughly examine γδ T cell immunology and its role in diseases. Initially, we elucidate functional differences between γδ T cells and their αβ T cell counterparts. We also provide an overview of major milestones in γδ T cell research since their discovery in 1984. Furthermore, we delve into the intricate biological processes governing their origin, development, fate decisions, and T cell receptor (TCR) rearrangement within the thymus. By examining the mechanisms underlying the anti-tumor functions of distinct γδ T cell subtypes based on γδTCR structure or cytokine release, we emphasize the importance of accurate subtyping in understanding γδ T cell function. We also explore the microenvironment-dependent functions of γδ T cell subsets, particularly in infectious diseases, autoimmune conditions, hematological malignancies, and solid tumors. Finally, we propose future strategies for utilizing allogeneic γδ T cells in tumor immunotherapy. Through this comprehensive review, we aim to provide readers with a holistic understanding of the molecular fundamentals and translational research frontiers of γδ T cells, ultimately contributing to further advancements in harnessing the therapeutic potential of γδ T cells.
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Affiliation(s)
- Yi Hu
- Microbiology and Immunology Department, School of Medicine, Faculty of Medical Science, Jinan University, Guangzhou, Guangdong, 510632, China
| | - Qinglin Hu
- Microbiology and Immunology Department, School of Medicine, Faculty of Medical Science, Jinan University, Guangzhou, Guangdong, 510632, China
- Guangdong Provincial Key Laboratory of Tumour Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, Zhuhai People's Hospital Affiliated with Jinan University, Jinan University, Zhuhai, Guangdong, 519000, China
| | - Yongsheng Li
- Department of Medical Oncology, Chongqing University Cancer Hospital, Chongqing, 400030, China
| | - Ligong Lu
- Guangdong Provincial Key Laboratory of Tumour Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, Zhuhai People's Hospital Affiliated with Jinan University, Jinan University, Zhuhai, Guangdong, 519000, China
| | - Zheng Xiang
- Microbiology and Immunology Department, School of Medicine, Faculty of Medical Science, Jinan University, Guangzhou, Guangdong, 510632, China
| | - Zhinan Yin
- Biomedical Translational Research Institute, Jinan University, Guangzhou, Guangdong, 510632, China.
| | - Dieter Kabelitz
- Institute of Immunology, Christian-Albrechts-University Kiel, Kiel, Germany.
| | - Yangzhe Wu
- Guangdong Provincial Key Laboratory of Tumour Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, Zhuhai People's Hospital Affiliated with Jinan University, Jinan University, Zhuhai, Guangdong, 519000, China.
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55
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Stewart H, Lu Y, O’Keefe S, Valpadashi A, Cruz-Zaragoza LD, Michel HA, Nguyen SK, Carnell GW, Lukhovitskaya N, Milligan R, Adewusi Y, Jungreis I, Lulla V, Matthews DA, High S, Rehling P, Emmott E, Heeney JL, Davidson AD, Edgar JR, Smith GL, Firth AE. The SARS-CoV-2 protein ORF3c is a mitochondrial modulator of innate immunity. iScience 2023; 26:108080. [PMID: 37860693 PMCID: PMC10583119 DOI: 10.1016/j.isci.2023.108080] [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: 12/12/2022] [Revised: 08/06/2023] [Accepted: 09/25/2023] [Indexed: 10/21/2023] Open
Abstract
The SARS-CoV-2 genome encodes a multitude of accessory proteins. Using comparative genomic approaches, an additional accessory protein, ORF3c, has been predicted to be encoded within the ORF3a sgmRNA. Expression of ORF3c during infection has been confirmed independently by ribosome profiling. Despite ORF3c also being present in the 2002-2003 SARS-CoV, its function has remained unexplored. Here we show that ORF3c localizes to mitochondria, where it inhibits innate immunity by restricting IFN-β production, but not NF-κB activation or JAK-STAT signaling downstream of type I IFN stimulation. We find that ORF3c is inhibitory after stimulation with cytoplasmic RNA helicases RIG-I or MDA5 or adaptor protein MAVS, but not after TRIF, TBK1 or phospho-IRF3 stimulation. ORF3c co-immunoprecipitates with the antiviral proteins MAVS and PGAM5 and induces MAVS cleavage by caspase-3. Together, these data provide insight into an uncharacterized mechanism of innate immune evasion by this important human pathogen.
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Affiliation(s)
- Hazel Stewart
- Department of Pathology, University of Cambridge, Cambridge, UK
| | - Yongxu Lu
- Department of Pathology, University of Cambridge, Cambridge, UK
| | - Sarah O’Keefe
- Faculty of Biology, Medicine and Health, School of Biological Sciences, University of Manchester, Manchester, UK
| | - Anusha Valpadashi
- Department of Cellular Biochemistry, University Medical Center Göttingen, Göttingen, Germany
| | | | | | | | - George W. Carnell
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | | | - Rachel Milligan
- School of Cellular and Molecular Medicine, Faculty of Life Sciences, University of Bristol, Bristol, UK
| | - Yasmin Adewusi
- Department of Pathology, University of Cambridge, Cambridge, UK
| | - Irwin Jungreis
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
| | - Valeria Lulla
- Department of Pathology, University of Cambridge, Cambridge, UK
| | - David A. Matthews
- School of Cellular and Molecular Medicine, Faculty of Life Sciences, University of Bristol, Bristol, UK
| | - Stephen High
- Faculty of Biology, Medicine and Health, School of Biological Sciences, University of Manchester, Manchester, UK
| | - Peter Rehling
- Department of Cellular Biochemistry, University Medical Center Göttingen, Göttingen, Germany
| | - Edward Emmott
- Centre for Proteome Research, Department of Biochemistry & Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
| | - Jonathan L. Heeney
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Andrew D. Davidson
- School of Cellular and Molecular Medicine, Faculty of Life Sciences, University of Bristol, Bristol, UK
| | - James R. Edgar
- Department of Pathology, University of Cambridge, Cambridge, UK
| | | | - Andrew E. Firth
- Department of Pathology, University of Cambridge, Cambridge, UK
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56
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Lee JS, Dittmar M, Miller J, Li M, Ayyanathan K, Ferretti M, Hulahan J, Whig K, Etwebi Z, Griesman T, Schultz DC, Cherry S. Evolutionary arms race between SARS-CoV-2 and interferon signaling via dynamic interaction with autophagy. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.13.566859. [PMID: 38014114 PMCID: PMC10680587 DOI: 10.1101/2023.11.13.566859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
SARS-CoV-2 emerged, and is evolving to efficiently infect humans worldwide. SARS-CoV-2 evades early innate recognition, interferon signaling activated only in bystander cells. This balance of innate activation and viral evasion has important consequences, but the pathways involved are incompletely understood. Here we find that autophagy genes regulate innate immune signaling, impacting the basal set point of interferons, and thus permissivity to infection. Mechanistically, autophagy genes negatively regulate MAVS, and this low basal level of MAVS is efficiently antagonized by SARS-CoV-2 ORF9b, blocking interferon activation in infected cells. However, upon loss of autophagy increased MAVS overcomes ORF9b-mediated antagonism suppressing infection. This has led to the evolution of SARS-CoV-2 variants to express higher levels of ORF9b, allowing SARS-CoV-2 to replicate under conditions of increased MAVS signaling. Altogether, we find a critical role of autophagy in the regulation of innate immunity and uncover an evolutionary trajectory of SARS-CoV-2 ORF9b to overcome host defenses.
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57
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Tapescu I, Taschuk F, Pokharel SM, Zginnyk O, Ferretti M, Bailer PF, Whig K, Madden EA, Heise MT, Schultz DC, Cherry S. The RNA helicase DDX39A binds a conserved structure in chikungunya virus RNA to control infection. Mol Cell 2023; 83:4174-4189.e7. [PMID: 37949067 PMCID: PMC10722560 DOI: 10.1016/j.molcel.2023.10.008] [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: 10/17/2022] [Revised: 04/25/2023] [Accepted: 10/12/2023] [Indexed: 11/12/2023]
Abstract
Alphaviruses are a large group of re-emerging arthropod-borne RNA viruses. The compact viral RNA genomes harbor diverse structures that facilitate replication. These structures can be recognized by antiviral cellular RNA-binding proteins, including DExD-box (DDX) helicases, that bind viral RNAs to control infection. The full spectrum of antiviral DDXs and the structures that are recognized remain unclear. Genetic screening identified DDX39A as antiviral against the alphavirus chikungunya virus (CHIKV) and other medically relevant alphaviruses. Upon infection, the predominantly nuclear DDX39A accumulates in the cytoplasm inhibiting alphavirus replication, independent of the canonical interferon pathway. Biochemically, DDX39A binds to CHIKV genomic RNA, interacting with the 5' conserved sequence element (5'CSE), which is essential for the antiviral activity of DDX39A. Altogether, DDX39A relocalization and binding to a conserved structural element in the alphavirus genomic RNA attenuates infection, revealing a previously unknown layer to the cellular control of infection.
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Affiliation(s)
- Iulia Tapescu
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA; Biochemistry and Biophysics Graduate Group, University of Pennsylvania, Philadelphia, PA, USA
| | - Frances Taschuk
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA; Cell and Molecular Biology Graduate Group, University of Pennsylvania, Philadelphia, PA, USA
| | - Swechha M Pokharel
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Oleksandr Zginnyk
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Max Ferretti
- Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA, USA
| | - Peter F Bailer
- Biochemistry and Biophysics Graduate Group, University of Pennsylvania, Philadelphia, PA, USA
| | - Kanupryia Whig
- Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA, USA
| | - Emily A Madden
- Department of Microbiology and Immunology, UNC-Chapel Hill, Chapel Hill, NC, USA
| | - Mark T Heise
- Department of Microbiology and Immunology, UNC-Chapel Hill, Chapel Hill, NC, USA; Department of Genetics, UNC-Chapel Hill, Chapel Hill, NC, USA
| | - David C Schultz
- Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA, USA
| | - Sara Cherry
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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58
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Pathakumari B, Marty PK, Shah M, Van Keulen VP, Erskine CL, Block MS, Arias-Sanchez P, Escalante P, Peikert T. Convalescent Adaptive Immunity Is Highly Heterogenous after SARS-CoV-2 Infection. J Clin Med 2023; 12:7136. [PMID: 38002748 PMCID: PMC10672050 DOI: 10.3390/jcm12227136] [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: 10/08/2023] [Revised: 11/03/2023] [Accepted: 11/14/2023] [Indexed: 11/26/2023] Open
Abstract
The optimal detection strategies for effective convalescent immunity after SARS-CoV-2 infection and vaccination remain unclear. The objective of this study was to characterize convalescent immunity targeting the SARS-CoV-2 spike protein using a multiparametric approach. At the beginning of the pandemic, we recruited 30 unvaccinated convalescent donors who had previously been infected with COVID-19 and 7 unexposed asymptomatic controls. Peripheral blood mononuclear cells (PBMCs) were obtained from leukapheresis cones. The humoral immune response was assessed by measuring serum anti-SARS-CoV-2 spike S1 subunit IgG via semiquantitative ELISA, and T-cell immunity against S1 and S2 subunits were studied via IFN-γ enzyme-linked immunosorbent spot (ELISpot) and flow cytometric (FC) activation-induced marker (AIM) assays and the assessment of cytotoxic CD8+ T-cell function (in the subset of HLA-A2-positive patients). No single immunoassay was sufficient in identifying anti-spike convalescent immunity among all patients. There was no consistent correlation between adaptive humoral and cellular anti-spike responses. Our data indicate that the magnitude of anti-spike convalescent humoral and cellular immunity is highly heterogeneous and highlights the need for using multiple assays to comprehensively measure SARS-CoV-2 convalescent immunity. These observations might have implications for COVID-19 surveillance, and the determination of optimal vaccination strategies for emerging variants. Further studies are needed to determine the optimal assessment of adaptive humoral and cellular immunity following SARS-CoV-2 infection, especially in the context of emerging variants and unclear vaccination schedules.
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Affiliation(s)
- Balaji Pathakumari
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA; (B.P.); (P.K.M.); (M.S.); (V.P.V.K.); (P.A.-S.); (P.E.)
| | - Paige K. Marty
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA; (B.P.); (P.K.M.); (M.S.); (V.P.V.K.); (P.A.-S.); (P.E.)
| | - Maleeha Shah
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA; (B.P.); (P.K.M.); (M.S.); (V.P.V.K.); (P.A.-S.); (P.E.)
| | - Virginia P. Van Keulen
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA; (B.P.); (P.K.M.); (M.S.); (V.P.V.K.); (P.A.-S.); (P.E.)
- Department of Immunology, Mayo Clinic, Rochester, MN 55905, USA; (C.L.E.); (M.S.B.)
| | - Courtney L. Erskine
- Department of Immunology, Mayo Clinic, Rochester, MN 55905, USA; (C.L.E.); (M.S.B.)
| | - Matthew S. Block
- Department of Immunology, Mayo Clinic, Rochester, MN 55905, USA; (C.L.E.); (M.S.B.)
- Department of Oncology, Mayo Clinic, Rochester, MN 55905, USA
| | - Pedro Arias-Sanchez
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA; (B.P.); (P.K.M.); (M.S.); (V.P.V.K.); (P.A.-S.); (P.E.)
| | - Patricio Escalante
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA; (B.P.); (P.K.M.); (M.S.); (V.P.V.K.); (P.A.-S.); (P.E.)
| | - Tobias Peikert
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA; (B.P.); (P.K.M.); (M.S.); (V.P.V.K.); (P.A.-S.); (P.E.)
- Department of Immunology, Mayo Clinic, Rochester, MN 55905, USA; (C.L.E.); (M.S.B.)
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Dadonaite B, Brown J, McMahon TE, Farrell AG, Asarnow D, Stewart C, Logue J, Murrell B, Chu HY, Veesler D, Bloom JD. Full-spike deep mutational scanning helps predict the evolutionary success of SARS-CoV-2 clades. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.13.566961. [PMID: 38014024 PMCID: PMC10680755 DOI: 10.1101/2023.11.13.566961] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
SARS-CoV-2 variants acquire mutations in spike that promote immune evasion and impact other properties that contribute to viral fitness such as ACE2 receptor binding and cell entry. Knowledge of how mutations affect these spike phenotypes can provide insight into the current and potential future evolution of the virus. Here we use pseudovirus deep mutational scanning to measure how >9,000 mutations across the full XBB.1.5 and BA.2 spikes affect ACE2 binding, cell entry, or escape from human sera. We find that mutations outside the receptor-binding domain (RBD) have meaningfully impacted ACE2 binding during SARS-CoV-2 evolution. We also measure how mutations to the XBB.1.5 spike affect neutralization by serum from individuals who recently had SARS-CoV-2 infections. The strongest serum escape mutations are in the RBD at sites 357, 420, 440, 456, and 473-however, the antigenic impacts of these mutations vary across individuals. We also identify strong escape mutations outside the RBD; however many of them decrease ACE2 binding, suggesting they act by modulating RBD conformation. Notably, the growth rates of human SARS-CoV-2 clades can be explained in substantial part by the measured effects of mutations on spike phenotypes, suggesting our data could enable better prediction of viral evolution.
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60
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Kim D, Kim J, Kim M, Park H, Park S, Maharjan S, Baek K, Kang BM, Kim S, Park MS, Lee Y, Kwon HJ. Analysis of spike protein variants evolved in a novel in vivo long-term replication model for SARS-CoV-2. Front Cell Infect Microbiol 2023; 13:1280686. [PMID: 38029235 PMCID: PMC10655031 DOI: 10.3389/fcimb.2023.1280686] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 10/23/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction The spectrum of SARS-CoV-2 mutations have increased over time, resulting in the emergence of several variants of concern. Persistent infection is assumed to be involved in the evolution of the variants. Calu-3 human lung cancer cells persistently grow without apoptosis and release low virus titers after infection. Methods We established a novel in vivo long-term replication model using xenografts of Calu-3 human lung cancer cells in immunodeficient mice. Virus replication in the tumor was monitored for 30 days and occurrence of mutations in the viral genome was determined by whole-genome deep sequencing. Viral isolates with mutations were selected after plaque forming assays and their properties were determined in cells and in K18-hACE2 mice. Results After infection with parental SARS-CoV-2, viruses were found in the tumor tissues for up to 30 days and acquired various mutations, predominantly in the spike (S) protein, some of which increased while others fluctuated for 30 days. Three viral isolates with different combination of mutations produced higher virus titers than the parental virus in Calu-3 cells without cytopathic effects. In K18-hACE2 mice, the variants were less lethal than the parental virus. Infection with each variant induced production of cross-reactive antibodies to the receptor binding domain of parental SARS-CoV-2 S protein and provided protective immunity against subsequent challenge with parental virus. Discussion These results suggest that most of the SARS-CoV-2 variants acquired mutations promoting host adaptation in the Calu-3 xenograft mice. This model can be used in the future to further study SARS-CoV-2 variants upon long-term replication in vivo.
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Affiliation(s)
- Dongbum Kim
- Institute of Medical Science, College of Medicine, Hallym University, Chuncheon, Republic of Korea
| | - Jinsoo Kim
- Institute of Medical Science, College of Medicine, Hallym University, Chuncheon, Republic of Korea
| | - Minyoung Kim
- Department of Microbiology, College of Medicine, Hallym University, Chuncheon, Republic of Korea
| | - Heedo Park
- Department of Microbiology, Institute for Viral Diseases, Vaccine Innovation Center, College of Medicine, Korea University, Seoul, Republic of Korea
| | - Sangkyu Park
- Department of Biochemistry, College of Natural Sciences, Chungbuk National University, Cheongju, Republic of Korea
| | - Sony Maharjan
- Institute of Medical Science, College of Medicine, Hallym University, Chuncheon, Republic of Korea
| | - Kyeongbin Baek
- Department of Microbiology, College of Medicine, Hallym University, Chuncheon, Republic of Korea
| | - Bo Min Kang
- Department of Microbiology, College of Medicine, Hallym University, Chuncheon, Republic of Korea
| | - Suyeon Kim
- Department of Microbiology, College of Medicine, Hallym University, Chuncheon, Republic of Korea
| | - Man-Seong Park
- Department of Microbiology, Institute for Viral Diseases, Vaccine Innovation Center, College of Medicine, Korea University, Seoul, Republic of Korea
| | - Younghee Lee
- Department of Biochemistry, College of Natural Sciences, Chungbuk National University, Cheongju, Republic of Korea
| | - Hyung-Joo Kwon
- Institute of Medical Science, College of Medicine, Hallym University, Chuncheon, Republic of Korea
- Department of Microbiology, College of Medicine, Hallym University, Chuncheon, Republic of Korea
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Xiao X, Chen P, Zhong Y, Luo X, Liu Y, Lu Y, Jin X, Qian W, Han W, Liang A, Liu H. Outcomes and risk factors of SARS-CoV-2 omicron variant in B-cell lymphoma patients following CD19 targeted CAR-T therapy. Cancer Med 2023; 12:20838-20846. [PMID: 37962082 PMCID: PMC10709723 DOI: 10.1002/cam4.6657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 08/23/2023] [Accepted: 10/03/2023] [Indexed: 11/15/2023] Open
Abstract
BACKGROUND Little was known on infection and mortality rates, still less the risk factors of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) omicron variant in B-cell lymphoma patients following CD19 targeted chimeric antigen receptor T cell (CAR-T). AIMS We performed a retrospective multicenter study and analyzed the details of relapsed/refractory (R/R) B-cell lymphoma patients who received CD19 targeted CAR-T heretofore in five cellular immunotherapy centers in China during the omicron wave. MATERIALS & METHODS One hundred fifty-four patients were enrolled in this study. RESULTS Among them, 52 patients (33.8%) were uninfected, 74 patients (48.1) had ambulatory mild disease (including nine patients of asymptomatic infection), 22 patients (14.3%) had moderate disease and six patients (3.9%) had severe disease when data collected up. Three patients with severe disease died from COVID-19, the death rate was 1.9% for all enrolled patients, and 2.9% for infected patients. We also found that patients over 60 years old or with diabetes mellitus (DM) tend to develop severe disease (p = 0.0057 and p = 0.0497, respectively). Patients had CAR-T infusion within 6 months also tend to have severe disease (p = 0.0011). In multivariate logistic regression model, CAR-T infusion within 6 months (relative risk (RR) 40.92; confidence interval (CI) 4.03-415.89; p = 0.002) were associated with significantly higher risk of severe disease. CONCLUSION Through this study, we conclude that the outcome for B-cell lymphoma patients following CD19 targeted CAR-T therapy when facing omicron infection was improved, but aggressive precautionary measures were particularly crucial for patients with high risk factors.
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Affiliation(s)
- Xibin Xiao
- Department of Hematology, The Second Affiliated Hospital, College of MedicineZhejiang UniversityHangzhouChina
| | - Panpan Chen
- Department of Hematology, The Second Affiliated Hospital, College of MedicineZhejiang UniversityHangzhouChina
| | - Yadi Zhong
- Department of Bio‐TherapeuticThe First Medical Centre, Chinese People's Liberation Army General HospitalBeijingChina
| | - Xiu Luo
- Department of Hematology, Tongji HospitalTongji University School of MedicineShanghaiChina
| | - Yao Liu
- Department of Hematology OncologyChongqing University Cancer HospitalChongqingChina
| | - Ying Lu
- Department of Hematology, Yinzhou Hospital, Affiliated to College of MedicineNingbo UniversityNingboChina
| | - Xueli Jin
- Department of Hematology, The Second Affiliated Hospital, College of MedicineZhejiang UniversityHangzhouChina
| | - Wenbin Qian
- Department of Hematology, The Second Affiliated Hospital, College of MedicineZhejiang UniversityHangzhouChina
| | - Weidong Han
- Department of Bio‐TherapeuticThe First Medical Centre, Chinese People's Liberation Army General HospitalBeijingChina
| | - Aibin Liang
- Department of Hematology, Tongji HospitalTongji University School of MedicineShanghaiChina
| | - Hui Liu
- Department of Hematology, The Second Affiliated Hospital, College of MedicineZhejiang UniversityHangzhouChina
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Diniz MO, Maini MK, Swadling L. T cell control of SARS-CoV-2: When, which, and where? Semin Immunol 2023; 70:101828. [PMID: 37651850 DOI: 10.1016/j.smim.2023.101828] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Accepted: 08/13/2023] [Indexed: 09/02/2023]
Abstract
Efficient immune protection against viruses such as SARS-CoV-2 requires the coordinated activity of innate immunity, B and T cells. Accumulating data point to a critical role for T cells not only in the clearance of established infection, but also for aborting viral replication independently of humoral immunity. Here we review the evidence supporting the contribution of antiviral T cells and consider which of their qualitative features favour efficient control of infection. We highlight how studies of SARS-CoV-2 and other coronaviridae in animals and humans have provided important lessons on the optimal timing (When), functionality and specificity (Which), and location (Where) of antiviral T cells. We discuss the clinical implications, particularly for the development of next-generation vaccines, and emphasise areas requiring further study.
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Affiliation(s)
- Mariana O Diniz
- Division of Infection and Immunity, Institute of Immunity and Transplantation, University College London, Pears Building, London WC1E 6BT, UK
| | - Mala K Maini
- Division of Infection and Immunity, Institute of Immunity and Transplantation, University College London, Pears Building, London WC1E 6BT, UK.
| | - Leo Swadling
- Division of Infection and Immunity, Institute of Immunity and Transplantation, University College London, Pears Building, London WC1E 6BT, UK.
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Wong LYR, Odle A, Luhmann E, Wu DC, Wang Y, Teo QW, Ptak C, Sariol A, Lowery S, Mack M, Meyerholz DK, Wu NC, Radoshevich L, Perlman S. Contrasting roles of MERS-CoV and SARS-CoV-2 internal proteins in pathogenesis in mice. mBio 2023; 14:e0247623. [PMID: 37882568 PMCID: PMC10746224 DOI: 10.1128/mbio.02476-23] [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: 09/13/2023] [Accepted: 09/19/2023] [Indexed: 10/27/2023] Open
Abstract
Betacoronaviruses encode an internal (I) gene via an alternative reading frame within the nucleocapsid gene, called ORF8b for Middle-East respiratory syndrome coronavirus (MERS-CoV) and ORF9b for severe acute respiratory syndrome coronavirus (SARS-CoV) and SARS-CoV-2. Previous reports suggested that proteins 8b and 9b are involved in evading multiple innate immune signaling pathways. However, their roles in mediating pathogenesis in infected animals have not been determined. In this study, we abrogated the expression of protein 8b in MERS-CoV and protein 9b in SARS-CoV-2. Using mouse models of MERS-CoV and SARS-CoV-2 infection, we found that MERS-CoV lacking protein 8b expression was more virulent, while SARS-CoV-2 lacking protein 9b expression was attenuated compared with the respective wild-type viruses. Upon further analysis, we detected increased levels of type I interferon and enhanced infiltration of immune cells to the lungs of mice infected with MERS-CoV lacking protein 8b expression. These data suggest that the I protein of MERS-CoV plays a role in limiting pathogenesis while that of SARS-CoV-2 enhances disease severity. IMPORTANCE The function of betacoronavirus internal protein has been relatively understudied. The earliest report on the internal protein of mouse hepatitis virus suggested that the internal protein is a structural protein without significant functions in virus replication and virulence. However, the internal proteins of severe acute respiratory syndrome coronavirus (SARS-CoV), Middle-East respiratory syndrome coronavirus, and SARS-CoV-2 have been shown to evade immune responses. Despite the reported functions of the internal protein in these highly pathogenic human coronaviruses, its role in mediating pathogenesis in experimentally infected animals has not been characterized. Our data indicated that despite the similar genomic location and expression strategy of these internal proteins, their effects on virulence are vastly different and virus specific, highlighting the complexity between host-virus interaction and disease outcome.
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Affiliation(s)
- Lok-Yin Roy Wong
- Department of Microbiology, University of Iowa, Iowa City, Iowa, USA
- Department of Immunology, University of Iowa, Iowa City, Iowa, USA
| | - Abby Odle
- Department of Microbiology, University of Iowa, Iowa City, Iowa, USA
- Department of Immunology, University of Iowa, Iowa City, Iowa, USA
| | - Emma Luhmann
- Department of Microbiology, University of Iowa, Iowa City, Iowa, USA
- Department of Immunology, University of Iowa, Iowa City, Iowa, USA
| | - Douglas C. Wu
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Yiquan Wang
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Qi Wen Teo
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Celeste Ptak
- Department of Microbiology, University of Iowa, Iowa City, Iowa, USA
- Department of Immunology, University of Iowa, Iowa City, Iowa, USA
| | - Alan Sariol
- Department of Microbiology, University of Iowa, Iowa City, Iowa, USA
- Department of Immunology, University of Iowa, Iowa City, Iowa, USA
| | - Shea Lowery
- Department of Microbiology, University of Iowa, Iowa City, Iowa, USA
- Department of Immunology, University of Iowa, Iowa City, Iowa, USA
| | - Matthias Mack
- Department of Internal Medicine, University Hospital Regensburg, Regensburg, Germany
| | | | - Nicholas C. Wu
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Lilliana Radoshevich
- Department of Microbiology, University of Iowa, Iowa City, Iowa, USA
- Department of Immunology, University of Iowa, Iowa City, Iowa, USA
| | - Stanley Perlman
- Department of Microbiology, University of Iowa, Iowa City, Iowa, USA
- Department of Immunology, University of Iowa, Iowa City, Iowa, USA
- Department of Pediatrics, University of Iowa, Iowa City, Iowa, USA
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Yin S, Klaeger S, Chea VA, Carulli IP, Rachimi S, Black KE, Filbin M, Hariri LP, Knipe RS, Padera RF, Stevens JD, Lane WJ, Carr SA, Wu CJ, Kim EY, Keskin DB. Integrated Immunopeptidomic and Proteomic Analysis of COVID-19 lung biopsies. Front Immunol 2023; 14:1269335. [PMID: 37942334 PMCID: PMC10628763 DOI: 10.3389/fimmu.2023.1269335] [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: 07/31/2023] [Accepted: 10/09/2023] [Indexed: 11/10/2023] Open
Abstract
Introduction Severe respiratory illness is the most prominent manifestation of patients infected with SARS-CoV-2, and yet the molecular mechanisms underlying severe lung disease in COVID-19 affected patients still require elucidation. Human leukocyte antigen class I (HLA-I) expression is crucial for antigen presentation and the host's response to SARS-CoV-2. Methods To gain insights into the immune response and molecular pathways involved in severe lung disease, we performed immunopeptidomic and proteomic analyses of lung tissues recovered at four COVID-19 autopsy and six non-COVID-19 transplants. Results We found signals of tissue injury and regeneration in lung fibroblast and alveolar type I/II cells, resulting in the production of highly immunogenic self-antigens within the lungs of COVID-19 patients. We also identified immune activation of the M2c macrophage as the primary source of HLA-I presentation and immunogenicity in this context. Additionally, we identified 28 lung signatures that can serve as early plasma markers for predicting infection and severe COVID-19 disease. These protein signatures were predominantly expressed in macrophages and epithelial cells and were associated with complement and coagulation cascades. Discussion Our findings emphasize the significant role of macrophage-mediated immunity in the development of severe lung disease in COVID-19 patients.
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Affiliation(s)
- Shanye Yin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
| | - Susan Klaeger
- Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Vipheaviny A. Chea
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States
- Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA, United States
| | - Isabel P. Carulli
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States
- Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA, United States
| | - Suzanna Rachimi
- Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Katharine E. Black
- Harvard Medical School, Boston, MA, United States
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Michael Filbin
- Harvard Medical School, Boston, MA, United States
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Lida P. Hariri
- Harvard Medical School, Boston, MA, United States
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, United States
- Department of Pathology, Massachusetts General Hospital, Boston, MA, United States
| | - Rachel S. Knipe
- Harvard Medical School, Boston, MA, United States
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Robert F. Padera
- Harvard Medical School, Boston, MA, United States
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA, United States
| | - Jonathan D. Stevens
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA, United States
| | - William J. Lane
- Harvard Medical School, Boston, MA, United States
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA, United States
| | - Steven A. Carr
- Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Catherine J. Wu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
- Broad Institute of MIT and Harvard, Cambridge, MA, United States
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA, United States
| | - Edy Yong Kim
- Harvard Medical School, Boston, MA, United States
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, MA, United States
| | - Derin B. Keskin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
- Broad Institute of MIT and Harvard, Cambridge, MA, United States
- Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA, United States
- Section for Bioinformatics, Department of Health Technology, Technical University of Denmark, Lyngby, Denmark
- Department of Computer Science, Metropolitan College, Boston University, Boston, MA, United States
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Zaderer V, Abd El Halim H, Wyremblewsky AL, Lupoli G, Dächert C, Muenchhoff M, Graf A, Blum H, Lass-Flörl C, Keppler OT, Huber LA, Posch W, Wilflingseder D. Omicron subvariants illustrate reduced respiratory tissue penetration, cell damage and inflammatory responses in human airway epithelia. Front Immunol 2023; 14:1258268. [PMID: 37915577 PMCID: PMC10616953 DOI: 10.3389/fimmu.2023.1258268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 10/02/2023] [Indexed: 11/03/2023] Open
Abstract
Introduction To explore whether the reported lower pathogenicity in infected individuals of variant of concern (VoC) Omicron and its current subvariants compared to VoC Delta may be related to fundamental differences in the initial virus-tissue interaction, we assessed their ability to penetrate, replicate and cause damage in a human 3D respiratory model. Methods For this, we used TEER measurements, real-time PCR, LDH, cytokine and complex confocal imaging analyses. Results and discussion We observed that Delta readily penetrated deep into the respiratory epithelium and this was associated with major tissue destruction, high LDH activity, high viral loads and pronounced innate immune activation as observed by intrinsic C3 activation and IL-6 release at infection sites. In contrast, Omicron subvariants BA.5, BQ.1.1 and BF7 remained superficially in the mucosal layer resulting merely in outward-directed destruction of cells, maintenance of epithelial integrity, minimal LDH activity and low basolateral release of virus at infection sites, as well as significantly smaller areas of complement activation and lower IL-6 secretion. Interestingly, also within Omicron subvariants differences were observed with newer Omicron subvariants BQ.1.1 and BF.7 illustrating significantly reduced viral loads, IL-6 release and LDH activity compared to BA.5. Our data indicate that earliest interaction events after SARS-CoV-2 transmission may have a role in shaping disease severity.
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Affiliation(s)
- Viktoria Zaderer
- Institute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Hussam Abd El Halim
- Institute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Anna-Lena Wyremblewsky
- Institute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Gaia Lupoli
- Virology, Max von Pettenkofer Institute and Gene Center, Ludwig-Maximilians-Universität (LMU), Munich, Germany
| | - Christopher Dächert
- Virology, Max von Pettenkofer Institute and Gene Center, Ludwig-Maximilians-Universität (LMU), Munich, Germany
| | - Maximilian Muenchhoff
- Virology, Max von Pettenkofer Institute and Gene Center, Ludwig-Maximilians-Universität (LMU), Munich, Germany
| | - Alexander Graf
- Laboratory for Functional Genome Analysis, Gene Center, Ludwig-Maximilians-Universität (LMU), Munich, Germany
| | - Helmut Blum
- Laboratory for Functional Genome Analysis, Gene Center, Ludwig-Maximilians-Universität (LMU), Munich, Germany
| | - Cornelia Lass-Flörl
- Institute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Oliver T. Keppler
- Virology, Max von Pettenkofer Institute and Gene Center, Ludwig-Maximilians-Universität (LMU), Munich, Germany
| | - Lukas A. Huber
- Institute of Cell Biology, Biocenter, Medical University of Innsbruck, Innsbruck, Austria
- ADSI - Austrian Drug Screening Institute GmbH, Innsbruck, Austria
| | - Wilfried Posch
- Institute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Doris Wilflingseder
- Institute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria
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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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Kehrer T, Cupic A, Ye C, Yildiz S, Bouhaddou M, Crossland NA, Barrall EA, Cohen P, Tseng A, Çağatay T, Rathnasinghe R, Flores D, Jangra S, Alam F, Mena I, Aslam S, Saqi A, Rutkowska M, Ummadi MR, Pisanelli G, Richardson RB, Veit EC, Fabius JM, Soucheray M, Polacco BJ, Ak B, Marin A, Evans MJ, Swaney DL, Gonzalez-Reiche AS, Sordillo EM, van Bakel H, Simon V, Zuliani-Alvarez L, Fontoura BMA, Rosenberg BR, Krogan NJ, Martinez-Sobrido L, García-Sastre A, Miorin L. Impact of SARS-CoV-2 ORF6 and its variant polymorphisms on host responses and viral pathogenesis. Cell Host Microbe 2023; 31:1668-1684.e12. [PMID: 37738983 PMCID: PMC10750313 DOI: 10.1016/j.chom.2023.08.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 07/01/2023] [Accepted: 08/07/2023] [Indexed: 09/24/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) encodes several proteins that inhibit host interferon responses. Among these, ORF6 antagonizes interferon signaling by disrupting nucleocytoplasmic trafficking through interactions with the nuclear pore complex components Nup98-Rae1. However, the roles and contributions of ORF6 during physiological infection remain unexplored. We assessed the role of ORF6 during infection using recombinant viruses carrying a deletion or loss-of-function (LoF) mutation in ORF6. ORF6 plays key roles in interferon antagonism and viral pathogenesis by interfering with nuclear import and specifically the translocation of IRF and STAT transcription factors. Additionally, ORF6 inhibits cellular mRNA export, resulting in the remodeling of the host cell proteome, and regulates viral protein expression. Interestingly, the ORF6:D61L mutation that emerged in the Omicron BA.2 and BA.4 variants exhibits reduced interactions with Nup98-Rae1 and consequently impairs immune evasion. Our findings highlight the role of ORF6 in antagonizing innate immunity and emphasize the importance of studying the immune evasion strategies of SARS-CoV-2.
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Affiliation(s)
- Thomas Kehrer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Anastasija Cupic
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Chengjin Ye
- Texas Biomedical Research Institute, San Antonio, TX 78227, USA
| | - Soner Yildiz
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Mehdi Bouhaddou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Microbiology, Immunology, and Molecular Genetics (MIMG), University of California, Los Angeles, Los Angeles, CA 90024, USA; Institute for Quantitative and Computational Biosciences (OCBio), University of California, Los Angeles, Los Angeles, CA 90024, USA; Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA 90024, USA
| | - Nicholas A Crossland
- National Emerging Infectious Diseases Laboratories, Boston University, Boston, MA 02215, USA; Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
| | - Erika A Barrall
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Phillip Cohen
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Anna Tseng
- National Emerging Infectious Diseases Laboratories, Boston University, Boston, MA 02215, USA; Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
| | - Tolga Çağatay
- Department of Cell Biology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Raveen Rathnasinghe
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Daniel Flores
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Sonia Jangra
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Fahmida Alam
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ignacio Mena
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Sadaf Aslam
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Anjali Saqi
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY 10032, USA
| | - Magdalena Rutkowska
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Manisha R Ummadi
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Giuseppe Pisanelli
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Veterinary Medicine and Animal Production, University of Naples Federico II, 80137 Naples, Italy
| | - R Blake Richardson
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ethan C Veit
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jacqueline M Fabius
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Margaret Soucheray
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Benjamin J Polacco
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Baran Ak
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Arturo Marin
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Matthew J Evans
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Danielle L Swaney
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Ana S Gonzalez-Reiche
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Emilia M Sordillo
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Harm van Bakel
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Viviana Simon
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Center for Vaccine Research and Pandemic Preparedness (C-VARPP), Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Lorena Zuliani-Alvarez
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Beatriz M A Fontoura
- Department of Cell Biology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Brad R Rosenberg
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Nevan J Krogan
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | | | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Lisa Miorin
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
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68
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Negi V, Gavlock D, Miedel MT, Lee JK, Shun T, Gough A, Vernetti L, Stern AM, Taylor DL, Yechoor VK. Modeling mechanisms underlying differential inflammatory responses to COVID-19 in type 2 diabetes using a patient-derived microphysiological organ-on-a-chip system. LAB ON A CHIP 2023; 23:4514-4527. [PMID: 37766577 DOI: 10.1039/d3lc00285c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/29/2023]
Abstract
Background: COVID-19 pandemic has caused more than 6 million deaths worldwide. Co-morbid conditions such as Type 2 Diabetes (T2D) have increased mortality in COVID-19. With limited translatability of in vitro and small animal models to human disease, human organ-on-a-chip models are an attractive platform to model in vivo disease conditions and test potential therapeutics. Methods: T2D or non-diabetic patient-derived macrophages and human liver sinusoidal endothelial cells were seeded, along with normal hepatocytes and stellate cells in the liver-on-a-chip (LAMPS - liver acinus micro physiological system), perfused with media mimicking non-diabetic fasting or T2D (high levels of glucose, fatty acids, insulin, glucagon) states. The macrophages and endothelial cells were transduced to overexpress the SARS-CoV2-S (spike) protein with appropriate controls before their incorporation into LAMPS. Cytokine concentrations in the efflux served as a read-out of the effects of S-protein expression in the different experimental conditions (non-diabetic-LAMPS, T2D-LAMPS), including incubation with tocilizumab, an FDA-approved drug for severe COVID-19. Findings: S-protein expression in the non-diabetic LAMPS led to increased cytokines, but in the T2D-LAMPS, this was significantly amplified both in the number and magnitude of key pro-inflammatory cytokines (IL6, CCL3, IL1β, IL2, TNFα, etc.) involved in cytokine storm syndrome (CSS), mimicking severe COVID-19 infection in T2D patients. Compared to vehicle control, tocilizumab (IL6-receptor antagonist) decreased the pro-inflammatory cytokine secretion in T2D-COVID-19-LAMPS but not in non-diabetic-COVID-19-LAMPS. Interpretation: macrophages and endothelial cells play a synergistic role in the pathophysiology of the hyper-inflammatory response seen with COVID-19 and T2D. The effect of Tocilizumab was consistent with large clinical trials that demonstrated Tocilizumab's efficacy only in critically ill patients with severe disease, providing confirmatory evidence that the T2D-COVID-19-LAMPS is a robust platform to model human in vivo pathophysiology of COVID-19 in T2D and for screening potential therapeutics.
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Affiliation(s)
- Vinny Negi
- Diabetes and Beta Cell Biology Center, Division of Endocrinology and Metabolism, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Dillon Gavlock
- Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mark T Miedel
- Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jeong Kyung Lee
- Diabetes and Beta Cell Biology Center, Division of Endocrinology and Metabolism, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Tongying Shun
- Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Albert Gough
- Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lawrence Vernetti
- Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Andrew M Stern
- Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - D Lansing Taylor
- Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Vijay K Yechoor
- Diabetes and Beta Cell Biology Center, Division of Endocrinology and Metabolism, University of Pittsburgh, Pittsburgh, PA, USA.
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Lenhard S, Gerlich S, Khan A, Rödl S, Bökenkamp JE, Peker E, Zarges C, Faust J, Storchova Z, Räschle M, Riemer J, Herrmann JM. The Orf9b protein of SARS-CoV-2 modulates mitochondrial protein biogenesis. J Cell Biol 2023; 222:e202303002. [PMID: 37682539 PMCID: PMC10491932 DOI: 10.1083/jcb.202303002] [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: 03/01/2023] [Revised: 07/06/2023] [Accepted: 08/07/2023] [Indexed: 09/09/2023] Open
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) expresses high amounts of the protein Orf9b to target the mitochondrial outer membrane protein Tom70. Tom70 serves as an import receptor for mitochondrial precursors and, independently of this function, is critical for the cellular antiviral response. Previous studies suggested that Orf9b interferes with Tom70-mediated antiviral signaling, but its implication for mitochondrial biogenesis is unknown. In this study, we expressed Orf9b in human HEK293 cells and observed an Orf9b-mediated depletion of mitochondrial proteins, particularly in respiring cells. To exclude that the observed depletion was caused by the antiviral response, we generated a yeast system in which the function of human Tom70 could be recapitulated. Upon expression of Orf9b in these cells, we again observed a specific decline of a subset of mitochondrial proteins and a general reduction of mitochondrial volume. Thus, the SARS-CoV-2 virus is able to modulate the mitochondrial proteome by a direct effect of Orf9b on mitochondrial Tom70-dependent protein import.
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Affiliation(s)
- Svenja Lenhard
- Cell Biology, University of Kaiserslautern, Kaiserslautern, Germany
| | - Sarah Gerlich
- Biochemistry, University of Cologne, Cologne, Germany
- CECAD, University of Cologne, Cologne, Germany
| | - Azkia Khan
- Cell Biology, University of Kaiserslautern, Kaiserslautern, Germany
| | - Saskia Rödl
- Cell Biology, University of Kaiserslautern, Kaiserslautern, Germany
| | - Jan-Eric Bökenkamp
- Molecular Genetics, University of Kaiserslautern, Kaiserslautern, Germany
| | - Esra Peker
- Biochemistry, University of Cologne, Cologne, Germany
- CECAD, University of Cologne, Cologne, Germany
| | - Christine Zarges
- Biochemistry, University of Cologne, Cologne, Germany
- CECAD, University of Cologne, Cologne, Germany
| | - Janina Faust
- Cell Biology, University of Kaiserslautern, Kaiserslautern, Germany
| | - Zuzana Storchova
- Molecular Genetics, University of Kaiserslautern, Kaiserslautern, Germany
| | - Markus Räschle
- Molecular Genetics, University of Kaiserslautern, Kaiserslautern, Germany
| | - Jan Riemer
- Biochemistry, University of Cologne, Cologne, Germany
- CECAD, University of Cologne, Cologne, Germany
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70
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Haas KM, McGregor MJ, Bouhaddou M, Polacco BJ, Kim EY, Nguyen TT, Newton BW, Urbanowski M, Kim H, Williams MAP, Rezelj VV, Hardy A, Fossati A, Stevenson EJ, Sukerman E, Kim T, Penugonda S, Moreno E, Braberg H, Zhou Y, Metreveli G, Harjai B, Tummino TA, Melnyk JE, Soucheray M, Batra J, Pache L, Martin-Sancho L, Carlson-Stevermer J, Jureka AS, Basler CF, Shokat KM, Shoichet BK, Shriver LP, Johnson JR, Shaw ML, Chanda SK, Roden DM, Carter TC, Kottyan LC, Chisholm RL, Pacheco JA, Smith ME, Schrodi SJ, Albrecht RA, Vignuzzi M, Zuliani-Alvarez L, Swaney DL, Eckhardt M, Wolinsky SM, White KM, Hultquist JF, Kaake RM, García-Sastre A, Krogan NJ. Proteomic and genetic analyses of influenza A viruses identify pan-viral host targets. Nat Commun 2023; 14:6030. [PMID: 37758692 PMCID: PMC10533562 DOI: 10.1038/s41467-023-41442-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 08/31/2023] [Indexed: 09/29/2023] Open
Abstract
Influenza A Virus (IAV) is a recurring respiratory virus with limited availability of antiviral therapies. Understanding host proteins essential for IAV infection can identify targets for alternative host-directed therapies (HDTs). Using affinity purification-mass spectrometry and global phosphoproteomic and protein abundance analyses using three IAV strains (pH1N1, H3N2, H5N1) in three human cell types (A549, NHBE, THP-1), we map 332 IAV-human protein-protein interactions and identify 13 IAV-modulated kinases. Whole exome sequencing of patients who experienced severe influenza reveals several genes, including scaffold protein AHNAK, with predicted loss-of-function variants that are also identified in our proteomic analyses. Of our identified host factors, 54 significantly alter IAV infection upon siRNA knockdown, and two factors, AHNAK and coatomer subunit COPB1, are also essential for productive infection by SARS-CoV-2. Finally, 16 compounds targeting our identified host factors suppress IAV replication, with two targeting CDK2 and FLT3 showing pan-antiviral activity across influenza and coronavirus families. This study provides a comprehensive network model of IAV infection in human cells, identifying functional host targets for pan-viral HDT.
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Affiliation(s)
- Kelsey M Haas
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Michael J McGregor
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Mehdi Bouhaddou
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Benjamin J Polacco
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Eun-Young Kim
- Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Thong T Nguyen
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
| | - Billy W Newton
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
| | - Matthew Urbanowski
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Heejin Kim
- Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Michael A P Williams
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Veronica V Rezelj
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
- Institut Pasteur, Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Paris, France
| | - Alexandra Hardy
- Institut Pasteur, Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Paris, France
| | - Andrea Fossati
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Erica J Stevenson
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Ellie Sukerman
- Division of Infectious Diseases, Oregon Health & Science University, Portland, OR, 97239, USA
| | - Tiffany Kim
- Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Sudhir Penugonda
- Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Elena Moreno
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Infectious Diseases, Hospital Universitario Ramón y Cajal and IRYCIS, Madrid, Spain
- Centro de Investigación en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Hannes Braberg
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Yuan Zhou
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Giorgi Metreveli
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Bhavya Harjai
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Tia A Tummino
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, 94158, USA
- Graduate Program in Pharmaceutical Sciences and Pharmacogenomics, University of California San Francisco, San Francisco, CA, 94158, USA
| | - James E Melnyk
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Margaret Soucheray
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Jyoti Batra
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Lars Pache
- Infectious and Inflammatory Disease Center, Immunity and Pathogenesis Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, 92037, USA
| | - Laura Martin-Sancho
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, 92037, USA
- Department of Infectious Disease, Imperial College London, London, SW7 2BX, UK
| | - Jared Carlson-Stevermer
- Synthego Corporation, Redwood City, CA, 94063, USA
- Serotiny Inc., South San Francisco, CA, 94080, USA
| | - Alexander S Jureka
- Molecular Virology and Vaccine Team, Immunology and Pathogenesis Branch, Influenza Division, National Center for Immunization & Respiratory Diseases, Centers for Disease Control & Prevention, Atlanta, GA, 30333, USA
- General Dynamics Information Technology, Federal Civilian Division, Atlanta, GA, 30329, USA
| | - Christopher F Basler
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Kevan M Shokat
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, 20815, USA
| | - Brian K Shoichet
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Leah P Shriver
- Department of Chemistry, Washington University in St. Louis, St. Louis, MO, 63105, USA
- Center for Metabolomics and Isotope Tracing, Washington University in St. Louis, St. Louis, MO, 63105, USA
| | - Jeffrey R Johnson
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Megan L Shaw
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Medical Biosciences, University of the Western Cape, Bellville, 7535, Western Cape, South Africa
| | - Sumit K Chanda
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, 92037, USA
| | - Dan M Roden
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
- Department of Pharmacology, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | - Tonia C Carter
- Center for Precision Medicine Research, Marshfield Clinic Research Institute, Marshfield, WI, 54449, USA
| | - Leah C Kottyan
- Center of Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, 45229, USA
| | - Rex L Chisholm
- Center for Genetic Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Jennifer A Pacheco
- Center for Genetic Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Maureen E Smith
- Center for Genetic Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Steven J Schrodi
- Laboratory of Genetics, School of Medicine and Public Health, University of Wisconsin Madison, Madison, WI, 53706, USA
| | - Randy A Albrecht
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Marco Vignuzzi
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
- Institut Pasteur, Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Paris, France
| | - Lorena Zuliani-Alvarez
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Danielle L Swaney
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Manon Eckhardt
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Steven M Wolinsky
- Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Kris M White
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Judd F Hultquist
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA.
- Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
- Center for Pathogen Genomics and Microbial Evolution, Northwestern University Havey Institute for Global Health, Chicago, IL, 60611, USA.
| | - Robyn M Kaake
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA.
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA.
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA.
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA.
| | - Adolfo García-Sastre
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA.
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
| | - Nevan J Krogan
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA.
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA.
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA.
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA.
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71
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Bloom JD, Neher RA. Fitness effects of mutations to SARS-CoV-2 proteins. Virus Evol 2023; 9:vead055. [PMID: 37727875 PMCID: PMC10506532 DOI: 10.1093/ve/vead055] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 08/08/2023] [Accepted: 08/22/2023] [Indexed: 09/21/2023] Open
Abstract
Knowledge of the fitness effects of mutations to SARS-CoV-2 can inform assessment of new variants, design of therapeutics resistant to escape, and understanding of the functions of viral proteins. However, experimentally measuring effects of mutations is challenging: we lack tractable lab assays for many SARS-CoV-2 proteins, and comprehensive deep mutational scanning has been applied to only two SARS-CoV-2 proteins. Here, we develop an approach that leverages millions of publicly available SARS-CoV-2 sequences to estimate effects of mutations. We first calculate how many independent occurrences of each mutation are expected to be observed along the SARS-CoV-2 phylogeny in the absence of selection. We then compare these expected observations to the actual observations to estimate the effect of each mutation. These estimates correlate well with deep mutational scanning measurements. For most genes, synonymous mutations are nearly neutral, stop-codon mutations are deleterious, and amino acid mutations have a range of effects. However, some viral accessory proteins are under little to no selection. We provide interactive visualizations of effects of mutations to all SARS-CoV-2 proteins (https://jbloomlab.github.io/SARS2-mut-fitness/). The framework we describe is applicable to any virus for which the number of available sequences is sufficiently large that many independent occurrences of each neutral mutation are observed.
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Affiliation(s)
- Jesse D Bloom
- Basic Sciences and Computational Biology, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, Seattle, WA 98109, USA
- Department of Genome Sciences, University of Washington, 3720 15th Ave NE, Seattle, WA 98195, USA
- Howard Hughes Medical Institute, 1100 Fairview Ave N, Seattle, WA 98109, USA
| | - Richard A Neher
- Biozentrum, University of Basel, Spitalstrasse 41, Basel 4056, Switzerland
- Swiss Institute of Bioinformatics, Lausanne 1015, Switzerl
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72
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Mongin D, Bürgisser N, Laurie G, Schimmel G, Vu DL, Cullati S, Courvoisier DS. Effect of SARS-CoV-2 prior infection and mRNA vaccination on contagiousness and susceptibility to infection. Nat Commun 2023; 14:5452. [PMID: 37673865 PMCID: PMC10482859 DOI: 10.1038/s41467-023-41109-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 08/21/2023] [Indexed: 09/08/2023] Open
Abstract
The immunity conferred by SARS-CoV-2 vaccines and infections reduces the transmission of the virus. To answer how the effect of immunity is shared between a reduction of infectiousness and an increased protection against infection, we examined >50,000 positive cases and >110,000 contacts from Geneva, Switzerland (June 2020 to March 2022). We assessed the association between secondary attack rate (i.e. proportion of new cases among contacts) and immunity from natural infection and/or vaccination, stratifying per four SARS-CoV-2 variants and adjusting for index cases and contacts' socio-demographic characteristics and the propensity of the contacts to be tested. Here we show that immunity protected contacts from infection, rather than reducing infectiousness of index cases. Natural infection conferred the strongest immunity. Hybrid immunity did not surpass recent infection. Although of smaller amplitude, the reduction in infectiousness due to vaccination was less affected by time and by the emergence of new SARS-CoV-2 variants than the susceptibility to infection. These findings support the role of vaccine in reducing infectiousness and underscore the complementary role of interventions reducing SARS-CoV-2 propagation, such as mask use or indoor ventilation.
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Affiliation(s)
- Denis Mongin
- Faculty of Medicine, University of Geneva, Geneva, Switzerland.
| | - Nils Bürgisser
- Faculty of Medicine, University of Geneva, Geneva, Switzerland
- General internal medicine division, Department of Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Gustavo Laurie
- Division of General cantonal physician, Geneva Directorate of Health, Geneva, Switzerland
| | - Guillaume Schimmel
- Division of General cantonal physician, Geneva Directorate of Health, Geneva, Switzerland
| | - Diem-Lan Vu
- Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Division of General cantonal physician, Geneva Directorate of Health, Geneva, Switzerland
- Division of Infectious Diseases, Geneva University Hospitals, Geneva, Switzerland
- Laboratory of Virology, Division of Laboratory Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Stephane Cullati
- Division Quality of care, University Hospitals of Geneva, Geneva, Switzerland
- Population Health Laboratory (#PopHealthLab), Faculty of Science and Medicine, University of Fribourg, Fribourg, Switzerland
| | - Delphine Sophie Courvoisier
- Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Division Quality of care, University Hospitals of Geneva, Geneva, Switzerland
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73
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Lee JD, Menasche BL, Mavrikaki M, Uyemura MM, Hong SM, Kozlova N, Wei J, Alfajaro MM, Filler RB, Müller A, Saxena T, Posey RR, Cheung P, Muranen T, Heng YJ, Paulo JA, Wilen CB, Slack FJ. Differences in syncytia formation by SARS-CoV-2 variants modify host chromatin accessibility and cellular senescence via TP53. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.31.555625. [PMID: 37693555 PMCID: PMC10491142 DOI: 10.1101/2023.08.31.555625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
COVID-19 remains a significant public health threat due to the ability of SARS-CoV-2 variants to evade the immune system and cause breakthrough infections. Although pathogenic coronaviruses such as SARS-CoV-2 and MERS-CoV lead to severe respiratory infections, how these viruses affect the chromatin proteomic composition upon infection remains largely uncharacterized. Here we used our recently developed integrative DNA And Protein Tagging (iDAPT) methodology to identify changes in host chromatin accessibility states and chromatin proteomic composition upon infection with pathogenic coronaviruses. SARS-CoV-2 infection induces TP53 stabilization on chromatin, which contributes to its host cytopathic effect. We mapped this TP53 stabilization to the SARS-CoV-2 spike and its propensity to form syncytia, a consequence of cell-cell fusion. Differences in SARS-CoV-2 spike variant-induced syncytia formation modify chromatin accessibility, cellular senescence, and inflammatory cytokine release via TP53. Our findings suggest that differences in syncytia formation alter senescence-associated inflammation, which varies among SARS-CoV-2 variants.
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74
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Ramasamy R. Overview of immunological & virological factors driving the evolution & global spread of SARS-CoV-2 variants. Indian J Med Res 2023; 158:257-268. [PMID: 37815068 PMCID: PMC10720969 DOI: 10.4103/ijmr.ijmr_2591_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Indexed: 10/11/2023] Open
Abstract
The SARS-CoV-2, a highly infectious positive strand RNA virus first identified in December 2019, has produced multiple genetic variants that have rapidly and sequentially spread worldwide during the coronavirus disease 2019 (COVID-19) pandemic. Genetic changes in SARS-CoV-2 for greater infectivity, replication and transmission were selected during the early stages of the pandemic. More recently, after widespread infection and vaccination, SARS-CoV-2 variants that evade antigen-specific adaptive immunity, have begun to be selected. This article provides an overview of the molecular immunological and virological factors underlying the origin and global spread of important SARS-CoV-2 variant lineages.
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Marty PK, Pathakumari B, Shah M, Keulen VP, Erskine CL, Block MS, Arias-Sanchez P, Escalante P, Peikert T. Convalescent Adaptive Immunity is Highly Heterogenous after SARS-CoV-2 Infection. RESEARCH SQUARE 2023:rs.3.rs-3222112. [PMID: 37674707 PMCID: PMC10479471 DOI: 10.21203/rs.3.rs-3222112/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/08/2023]
Abstract
Optimal detection strategies for effective convalescent immunity after SARS-CoV-2 infection and vaccination remain unclear. The objective of this study was to characterize convalescent immunity targeting the SARS-CoV-2 spike protein using a multiparametric approach. At the beginning of the pandemic, between April 23, 2020, to May 11, 2020, we recruited 30 COVID-19 unvaccinated convalescent donors and 7 unexposed asymptomatic donors. Peripheral blood mononuclear cells (PBMCs) were obtained from leukapheresis cones. The humoral immune response was assessed by measuring serum anti-SARS-CoV-2 spike S1 subunit IgG semiquantitative ELISA and T cell immunity against S1 and S2 subunits were studied by IFN-γ Enzyme-Linked Immune absorbent Spot (ELISpot), flow cytometric (FC) activation-induced marker (AIM) assays and the assessment of cytotoxic CD8+ T-cell function (in the subset of HLA-A2 positive patients). No single immunoassay was sufficient in identifying anti-spike convalescent immunity among all patients. There was no consistent correlation between adaptive humoral and cellular anti-spike responses. Our data indicate that the magnitude of anti-spike convalescent humoral and cellular immunity is highly heterogeneous and highlights the need for using multiple assays to comprehensively measure SARS-CoV-2 convalescent immunity. These observations might have implications for COVID-19 surveillance, and optimal vaccination strategies for emerging variants. Further studies are needed to determine the optimal assessment of adaptive humoral and cellular immunity following SARSCoV-2 infection, especially in the context of emerging variants and unclear vaccination schedules.
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76
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Dimcheff DE, Blair CN, Zhu Y, Chappell JD, Gaglani M, McNeal T, Ghamande S, Steingrub JS, Shapiro NI, Duggal A, Busse LW, Frosch AEP, Peltan ID, Hager DN, Gong MN, Exline MC, Khan A, Wilson JG, Qadir N, Ginde AA, Douin DJ, Mohr NM, Mallow C, Martin ET, Johnson NJ, Casey JD, Stubblefield WB, Gibbs KW, Kwon JH, Talbot HK, Halasa N, Grijalva CG, Baughman A, Womack KN, Hart KW, Swan SA, Surie D, Thornburg NJ, McMorrow ML, Self WH, Lauring AS. Total and Subgenomic RNA Viral Load in Patients Infected With SARS-CoV-2 Alpha, Delta, and Omicron Variants. J Infect Dis 2023; 228:235-244. [PMID: 36883903 PMCID: PMC10420395 DOI: 10.1093/infdis/jiad061] [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: 02/20/2023] [Accepted: 03/06/2023] [Indexed: 03/09/2023] Open
Abstract
BACKGROUND Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomic and subgenomic RNA levels are frequently used as a correlate of infectiousness. The impact of host factors and SARS-CoV-2 lineage on RNA viral load is unclear. METHODS Total nucleocapsid (N) and subgenomic N (sgN) RNA levels were measured by quantitative reverse transcription polymerase chain reaction (RT-qPCR) in specimens from 3204 individuals hospitalized with coronavirus disease 2019 (COVID-19) at 21 hospitals. RT-qPCR cycle threshold (Ct) values were used to estimate RNA viral load. The impact of time of sampling, SARS-CoV-2 variant, age, comorbidities, vaccination, and immune status on N and sgN Ct values were evaluated using multiple linear regression. RESULTS Mean Ct values at presentation for N were 24.14 (SD 4.53) for non-variants of concern, 25.15 (SD 4.33) for Alpha, 25.31 (SD 4.50) for Delta, and 26.26 (SD 4.42) for Omicron. N and sgN RNA levels varied with time since symptom onset and infecting variant but not with age, comorbidity, immune status, or vaccination. When normalized to total N RNA, sgN levels were similar across all variants. CONCLUSIONS RNA viral loads were similar among hospitalized adults, irrespective of infecting variant and known risk factors for severe COVID-19. Total N and subgenomic RNA N viral loads were highly correlated, suggesting that subgenomic RNA measurements add little information for the purposes of estimating infectivity.
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Affiliation(s)
- Derek E Dimcheff
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Christopher N Blair
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Yuwei Zhu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - James D Chappell
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Manjusha Gaglani
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Tresa McNeal
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Shekhar Ghamande
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Jay S Steingrub
- Department of Medicine, Baystate Medical Center, Springfield, Massachusetts, USA
| | - Nathan I Shapiro
- Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Abhijit Duggal
- Department of Medicine, Cleveland Clinic, Cleveland, Ohio, USA
| | | | - Anne E P Frosch
- Department of Medicine, Hennepin County Medical Center, Minneapolis, Minnesota, USA
| | - Ithan D Peltan
- Department of Medicine, Intermountain Medical Center, Murray, Utah, USA
- Department of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - David N Hager
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Michelle N Gong
- Department of Medicine, Montefiore Health System, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Matthew C Exline
- Department of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Akram Khan
- Department of Medicine, Oregon Health and Sciences University, Portland, Oregon, USA
| | - Jennifer G Wilson
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Nida Qadir
- Department of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Adit A Ginde
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - David J Douin
- Department of Anesthesiology, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Nicholas M Mohr
- Department of Emergency Medicine, University of Iowa, Iowa City, Iowa, USA
| | | | - Emily T Martin
- School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Nicholas J Johnson
- Department of Emergency Medicine and Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, Washington, USA
| | - Jonathan D Casey
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - William B Stubblefield
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kevin W Gibbs
- Department of Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Jennie H Kwon
- Department of Medicine, Washington University, St Louis, Missouri, USA
| | - H Keipp Talbot
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Natasha Halasa
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Carlos G Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Adrienne Baughman
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kelsey N Womack
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kimberly W Hart
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Sydney A Swan
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Diya Surie
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Natalie J Thornburg
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Meredith L McMorrow
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Wesley H Self
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Adam S Lauring
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA
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77
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Aloise C, Schipper JG, van Vliet A, Oymans J, Donselaar T, Hurdiss DL, de Groot RJ, van Kuppeveld FJM. SARS-CoV-2 nucleocapsid protein inhibits the PKR-mediated integrated stress response through RNA-binding domain N2b. PLoS Pathog 2023; 19:e1011582. [PMID: 37607209 PMCID: PMC10473545 DOI: 10.1371/journal.ppat.1011582] [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: 03/07/2023] [Revised: 09/01/2023] [Accepted: 07/27/2023] [Indexed: 08/24/2023] Open
Abstract
The nucleocapsid protein N of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) enwraps and condenses the viral genome for packaging but is also an antagonist of the innate antiviral defense. It suppresses the integrated stress response (ISR), purportedly by interacting with stress granule (SG) assembly factors G3BP1 and 2, and inhibits type I interferon responses. To elucidate its mode of action, we systematically deleted and over-expressed distinct regions and domains. We show that N via domain N2b blocks PKR-mediated ISR activation, as measured by suppression of ISR-induced translational arrest and SG formation. N2b mutations that prevent dsRNA binding abrogate these activities also when introduced in the intact N protein. Substitutions reported to block post-translation modifications of N or its interaction with G3BP1/2 did not have a detectable additive effect. In an encephalomyocarditis virus-based infection model, N2b - but not a derivative defective in RNA binding-prevented PKR activation, inhibited β-interferon expression and promoted virus replication. Apparently, SARS-CoV-2 N inhibits innate immunity by sequestering dsRNA to prevent activation of PKR and RIG-I-like receptors. Similar observations were made for the N protein of human coronavirus 229E, suggesting that this may be a general trait conserved among members of other orthocoronavirus (sub)genera.
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Affiliation(s)
- Chiara Aloise
- Virology Section, Division of Infectious Diseases and Immunology, Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Jelle G. Schipper
- Virology Section, Division of Infectious Diseases and Immunology, Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Arno van Vliet
- Virology Section, Division of Infectious Diseases and Immunology, Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Judith Oymans
- Virology Section, Division of Infectious Diseases and Immunology, Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Tim Donselaar
- Virology Section, Division of Infectious Diseases and Immunology, Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Daniel L. Hurdiss
- Virology Section, Division of Infectious Diseases and Immunology, Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Raoul J. de Groot
- Virology Section, Division of Infectious Diseases and Immunology, Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Frank J. M. van Kuppeveld
- Virology Section, Division of Infectious Diseases and Immunology, Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
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78
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Banerjee U, Chunchanur S, R A, Balaji KN, Singh A, Chakravortty D, Chandra N. Systems-level profiling of early peripheral host-response landscape variations across COVID-19 severity states in an Indian cohort. Genes Immun 2023; 24:183-193. [PMID: 37438430 DOI: 10.1038/s41435-023-00210-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 06/25/2023] [Accepted: 06/28/2023] [Indexed: 07/14/2023]
Abstract
Host immune response to COVID-19 plays a significant role in regulating disease severity. Although big data analysis has provided significant insights into the host biology of COVID-19 across the world, very few such studies have been performed in the Indian population. This study utilizes a transcriptome-integrated network analysis approach to compare the immune responses between asymptomatic or mild and moderate-severe COVID-19 patients in an Indian cohort. An immune suppression phenotype is observed in the early stages of moderate-severe COVID-19 manifestation. A number of pathways are identified that play crucial roles in the host control of the disease such as the type I interferon response and classical complement pathway which show different activity levels across the severity spectrum. This study also identifies two transcription factors, IRF7 and ESR1, to be important in regulating the severity of COVID-19. Overall this study provides a deep understanding of the peripheral immune landscape in the COVID-19 severity spectrum in the Indian genetic background and opens up future research avenues to compare immune responses across global populations.
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Affiliation(s)
- Ushashi Banerjee
- Department of Biochemistry, Indian Institute of Science, Bengaluru, India
| | - Sneha Chunchanur
- Bangalore Medical College and Research Institute (BMCRI), Bengaluru, India
| | - Ambica R
- Bangalore Medical College and Research Institute (BMCRI), Bengaluru, India
| | | | - Amit Singh
- Department of Microbiology and Cell Biology, Indian Institute of Science, Bengaluru, India
- Center for Infectious Disease Research, Indian Institute of Science, Bengaluru, India
| | - Dipshikha Chakravortty
- Department of Microbiology and Cell Biology, Indian Institute of Science, Bengaluru, India
- Center for Infectious Disease Research, Indian Institute of Science, Bengaluru, India
| | - Nagasuma Chandra
- Department of Biochemistry, Indian Institute of Science, Bengaluru, India.
- Center for Biosystems Science and Engineering, Indian Institute of Science, Bengaluru, India.
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79
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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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80
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Yang Z, Zhang Q, Wu X, Hao S, Hao X, Jones E, Zhang Y, Qiu J, Xu L. Repurposing Niclosamide as a Novel Anti-SARS-CoV-2 Drug by Restricting Entry Protein CD147. Biomedicines 2023; 11:2019. [PMID: 37509657 PMCID: PMC10377517 DOI: 10.3390/biomedicines11072019] [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: 06/11/2023] [Revised: 06/29/2023] [Accepted: 07/06/2023] [Indexed: 07/30/2023] Open
Abstract
The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to the global coronavirus disease 2019 (COVID-19) pandemic, and the search for effective treatments has been limited. Furthermore, the rapid mutations of SARS-CoV-2 have posed challenges to existing vaccines and neutralizing antibodies, as they struggle to keep up with the increased viral transmissibility and immune evasion. However, there is hope in targeting the CD147-spike protein, which serves as an alternative point for the entry of SARS-CoV-2 into host cells. This protein has emerged as a promising therapeutic target for the development of drugs against COVID-19. Here, we demonstrate that the RNA-binding protein Human-antigen R (HuR) plays a crucial role in the post-transcriptional regulation of CD147 by directly binding to its 3'-untranslated region (UTR). We observed a decrease in CD147 levels across multiple cell lines upon HuR depletion. Furthermore, we identified that niclosamide can reduce CD147 by lowering the cytoplasmic translocation of HuR and reducing CD147 glycosylation. Moreover, our investigation revealed that SARS-CoV-2 infection induces an upregulation of CD147 in ACE2-expressing A549 cells, which can be effectively neutralized by niclosamide in a dose-dependent manner. Overall, our study unveils a novel regulatory mechanism of regulating CD147 through HuR and suggests niclosamide as a promising therapeutic option against COVID-19.
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Affiliation(s)
- Zhe Yang
- Department of Molecular Biosciences, The University of Kansas, Lawrence, KS 66045, USA
| | - Qi Zhang
- Higuchi Biosciences Center, The University of Kansas, Lawrence, KS 66045, USA
| | - Xiaoqing Wu
- Higuchi Biosciences Center, The University of Kansas, Lawrence, KS 66045, USA
- The University of Kansas Cancer Center, The University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Siyuan Hao
- Department of Microbiology, Molecular Genetics and Immunology, The University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Xinbao Hao
- Department of Molecular Biosciences, The University of Kansas, Lawrence, KS 66045, USA
| | - Elizabeth Jones
- Department of Pharmacology, Toxicology & Therapeutics, The University of Kansas Medical Center, Kansas City, KS 66160, USA; (E.J.)
| | - Yuxia Zhang
- Department of Pharmacology, Toxicology & Therapeutics, The University of Kansas Medical Center, Kansas City, KS 66160, USA; (E.J.)
| | - Jianming Qiu
- Department of Microbiology, Molecular Genetics and Immunology, The University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Liang Xu
- Department of Molecular Biosciences, The University of Kansas, Lawrence, KS 66045, USA
- The University of Kansas Cancer Center, The University of Kansas Medical Center, Kansas City, KS 66160, USA
- Department of Radiation Oncology, The University of Kansas Medical Center, Kansas City, KS 66160, USA
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81
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Bahlmann NA, Mautner L, Hoyos M, Sallard E, Berger C, Dangel A, Jönsson F, Fischer JC, Kreppel F, Zhang W, Esposito I, Bölke E, Baiker A, Ehrhardt A. In Vitro Analysis of the Effect of SARS-CoV-2 Non-VOC and four Variants of Concern on MHC-Class-I Expression on Calu-3 and Caco-2 Cells. Genes (Basel) 2023; 14:1348. [PMID: 37510253 PMCID: PMC10378856 DOI: 10.3390/genes14071348] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 06/13/2023] [Accepted: 06/21/2023] [Indexed: 07/30/2023] Open
Abstract
As the MHC-I-pathway is key to antigen presentation to cytotoxic T-cells and, therefore, recognition by the host adaptive immune system, we hypothesized that SARS-CoV-2 including its Variants of Concern (VOCs), influences MHC-I expression on epithelial cell surfaces as an immune evasion strategy. We conducted an in vitro time course experiment with the human airway epithelial cell line Calu-3 and the human colorectal adenocarcinoma cell line Caco-2. Cells were infected with SARS-CoV-2 strains non-VOC/B.1.1, Alpha/B.1.1.7, Beta/B.1.351, Gamma/P.1, and Delta/B.1.617.2. At 2, 24, 48 and 72 h post-infection we performed RT-qPCR to track viral replication. Simultaneously, we performed intracellular staining with a serum of a double-vaccinated healthy adult containing a high amount of spike protein antibody. In flow cytometry experiments, we differentiated between infected (spike protein positive) and bystander (spike protein negative) cells. To compare their HLA expression levels, cells were stained extracellularly with anti-HLA-A-IgG and anti-HLA-B,C-IgG. While HLA-A expression was stable on infected Calu-3 cells for all variants, it increased to different degrees on bystander cells in samples infected with VOCs Beta, Gamma, Delta, or non-VOC over the time course analyzed. In contrast, HLA-A levels were stable in bystander Calu-3 cells in samples infected with the Alpha variant. The upregulation of MHC-I on spike protein negative bystander cells in Calu-3 cell cultures infected with Beta, Gamma, Delta, and partly non-VOC might suggest that infected cells are still capable of secreting inflammatory cytokines like type-I interferons stimulating the MHC-I expression on bystander cells. In comparison, there was no distinct effect on HLA expression level on Caco-2 cells of any of the VOCs or non-VOC. Further investigations of the full range of immune evasion strategies of SARS-CoV-2 variants are warranted.
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Affiliation(s)
- Nora A Bahlmann
- Virology and Microbiology, Center for Biomedical Education and Research (ZBAF), Witten/Herdecke University, 58453 Witten, Germany
| | - Lena Mautner
- Bavarian Health and Food Safety Authority, 85764 Oberschleißheim, Germany
| | - Mona Hoyos
- Bavarian Health and Food Safety Authority, 85764 Oberschleißheim, Germany
| | - Erwan Sallard
- Virology and Microbiology, Center for Biomedical Education and Research (ZBAF), Witten/Herdecke University, 58453 Witten, Germany
| | - Carola Berger
- Bavarian Health and Food Safety Authority, 85764 Oberschleißheim, Germany
| | - Alexandra Dangel
- Bavarian Health and Food Safety Authority, 85764 Oberschleißheim, Germany
| | - Franziska Jönsson
- Biochemistry and Molecular Medicine, Center for Biomedical Education and Research (ZBAF), Witten/Herdecke University, 58453 Witten, Germany
| | - Johannes C Fischer
- Institute for Transplant Diagnostics and Cell Therapeutics, Heinrich-Heine-University, 40204 Duesseldorf, Germany
| | - Florian Kreppel
- Biochemistry and Molecular Medicine, Center for Biomedical Education and Research (ZBAF), Witten/Herdecke University, 58453 Witten, Germany
| | - Wenli Zhang
- Virology and Microbiology, Center for Biomedical Education and Research (ZBAF), Witten/Herdecke University, 58453 Witten, Germany
| | - Irene Esposito
- Institute of Pathology, Heinrich Heine University and University Hospital, 40204 Duesseldorf, Germany
| | - Edwin Bölke
- Department of Radiation Oncology, Heinrich-Heine-University, 40204 Duesseldorf, Germany
| | - Armin Baiker
- Bavarian Health and Food Safety Authority, 85764 Oberschleißheim, Germany
| | - Anja Ehrhardt
- Virology and Microbiology, Center for Biomedical Education and Research (ZBAF), Witten/Herdecke University, 58453 Witten, Germany
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82
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Mongin D, Buclin CP, Cullati S, Courvoisier DS. COVID-19 Vaccination Rate under Different Political Incentive: A Counterfactual Trend Approach Using Nationwide Data. Vaccines (Basel) 2023; 11:1149. [PMID: 37514965 PMCID: PMC10385043 DOI: 10.3390/vaccines11071149] [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: 05/24/2023] [Revised: 06/19/2023] [Accepted: 06/21/2023] [Indexed: 07/30/2023] Open
Abstract
(1) Background: France implemented a COVID-19 certificate in July 2021 to incentivize the population to uptake COVID-19 vaccines. However, little is known about the variation in its impact across age groups and its dependence on socio-demographic, economic, logistic, or political factors. (2) Methods: Using France's weekly first dose vaccination rate, a counterfactual trend approach allowed for the estimation of the vaccination rate across age groups at a small geographical level before and after the implementation of the health pass. The effect of the health pass was operationalized as the vaccination rate among those who would not be vaccinated without it. (3) Results: Vaccination before the health pass varied greatly among age groups and was mainly influenced by territory (lower in rural and overseas territories when compared to urban and metropolitan ones), political beliefs, and socio-economic disparities. Vaccine logistics played a minor but significant role, while the impact of COVID-19 did not affect the vaccination rate. The health pass increased the vaccination overall but with varying efficiency across groups. It convinced mainly young people politically close to the governmental vaccination strategy and living in urban metropolitan areas with low socio-economical discrepancies. The selected variables explained most of the variability of the vaccination rate before the health pass; they explained, at most, a third of the variation in the health pass effect on vaccination. (4) Conclusions: From a public health perspective, the French health pass increased the overall vaccination, but failed to promote preventive behaviours in all segments of society, particularly in vulnerable communities.
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Affiliation(s)
- Denis Mongin
- Faculty of Medicine, University of Geneva, CH-1211 Geneva, Switzerland
| | - Clement P Buclin
- Faculty of Medicine, University of Geneva, CH-1211 Geneva, Switzerland
| | - Stephane Cullati
- Division Quality of Care, Geneva University Hospitals, CH-1211 Geneva, Switzerland
- Population Health Laboratory (#PopHealthLab), Faculty of Science and Medicine, University of Fribourg, CH-1700 Fribourg, Switzerland
| | - Delphine S Courvoisier
- Faculty of Medicine, University of Geneva, CH-1211 Geneva, Switzerland
- Division Quality of Care, Geneva University Hospitals, CH-1211 Geneva, Switzerland
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83
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Peng O, Wu Y, Hu F, Xia Y, Geng R, Huang Y, Zeng S, Hu G, Xue C, Zhang H, Cao Y. Transcriptome Profiling of Vero E6 Cells during Original Parental or Cell-Attenuated Porcine Epidemic Diarrhea Virus Infection. Viruses 2023; 15:1426. [PMID: 37515115 PMCID: PMC10386749 DOI: 10.3390/v15071426] [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: 04/03/2023] [Revised: 06/15/2023] [Accepted: 06/21/2023] [Indexed: 07/30/2023] Open
Abstract
Porcine epidemic diarrhea virus (PEDV) has led to significant economic losses in the global porcine industry since the emergence of variant strains in 2010. The high mutability of coronaviruses endows PEDV with the ability to evade the host immune response, which impairs the effectiveness of vaccines. In our previous study, we generated a highly cell-passaged PEDV strain, CT-P120, which showed promise as a live attenuated vaccine candidate by providing satisfactory protection against variant PEDV infection in piglets. However, the mechanism by which the attenuated CT-P120 adapts to cells during passage, resulting in increased replication efficiency, remains unclear. To address this question, we conducted a comparative transcriptomic analysis of Vero E6 cells infected with either the original parental strain (CT-P10) or the cell-attenuated strain (CT-P120) of PEDV at 6, 12, and 24 h post-infection. Compared to CT-P10, CT-P120 infection resulted in a significant decrease in the number of differentially expressed genes (DEGs) at each time point. Functional enrichment analysis of genes revealed the activation of various innate immune-related pathways by CT-P10, notably attenuated during CT-P120 infection. To validate these results, we selected eight genes (TRAF3, IRF3, IFNL1, ISG15, NFKB1, MAP2K3, IL1A, and CCL2) involved in antiviral processes and confirmed their mRNA expression patterns using RT-qPCR, in line with the transcriptomic data. Subsequent protein-level analysis of selected genes via Western blotting and enzyme-linked immunosorbent assay corroborated these results, reinforcing the robustness of our findings. Collectively, our research elucidates the strategies underpinning PEDV attenuation and immune evasion, providing invaluable insights for the development of effective PEDV vaccines.
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Affiliation(s)
- Ouyang Peng
- State Key Laboratory of Biocontrol, Life Sciences School, Sun Yat-Sen University, Guangzhou 510275, China
| | - Yu Wu
- State Key Laboratory of Biocontrol, Life Sciences School, Sun Yat-Sen University, Guangzhou 510275, China
| | - Fangyu Hu
- State Key Laboratory of Biocontrol, Life Sciences School, Sun Yat-Sen University, Guangzhou 510275, China
| | - Yu Xia
- State Key Laboratory of Biocontrol, Life Sciences School, Sun Yat-Sen University, Guangzhou 510275, China
| | - Rui Geng
- State Key Laboratory of Biocontrol, Life Sciences School, Sun Yat-Sen University, Guangzhou 510275, China
| | - Yihui Huang
- State Key Laboratory of Biocontrol, Life Sciences School, Sun Yat-Sen University, Guangzhou 510275, China
| | - Siying Zeng
- State Key Laboratory of Biocontrol, Life Sciences School, Sun Yat-Sen University, Guangzhou 510275, China
| | - Guangli Hu
- State Key Laboratory of Biocontrol, Life Sciences School, Sun Yat-Sen University, Guangzhou 510275, China
| | - Chunyi Xue
- State Key Laboratory of Biocontrol, Life Sciences School, Sun Yat-Sen University, Guangzhou 510275, China
| | - Hao Zhang
- State Key Laboratory of Biocontrol, Life Sciences School, Sun Yat-Sen University, Guangzhou 510275, China
| | - Yongchang Cao
- State Key Laboratory of Biocontrol, Life Sciences School, Sun Yat-Sen University, Guangzhou 510275, China
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84
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Zhu J, Chiang C, Gack MU. Viral evasion of the interferon response at a glance. J Cell Sci 2023; 136:jcs260682. [PMID: 37341132 PMCID: PMC10411950 DOI: 10.1242/jcs.260682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/22/2023] Open
Abstract
Re-emerging and new viral pathogens have caused significant morbidity and mortality around the world, as evidenced by the recent monkeypox, Ebola and Zika virus outbreaks and the ongoing COVID-19 pandemic. Successful viral infection relies on tactical viral strategies to derail or antagonize host innate immune defenses, in particular the production of type I interferons (IFNs) by infected cells. Viruses can thwart intracellular sensing systems that elicit IFN gene expression (that is, RIG-I-like receptors and the cGAS-STING axis) or obstruct signaling elicited by IFNs. In this Cell Science at a Glance article and the accompanying poster, we review the current knowledge about the major mechanisms employed by viruses to inhibit the activity of intracellular pattern-recognition receptors and their downstream signaling cascades leading to IFN-based antiviral host defenses. Advancing our understanding of viral immune evasion might spur unprecedented opportunities to develop new antiviral compounds or vaccines to prevent viral infectious diseases.
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Affiliation(s)
- Junji Zhu
- Florida Research and Innovation Center, Cleveland Clinic, Port St. Lucie, FL 34987, USA
| | - Cindy Chiang
- Florida Research and Innovation Center, Cleveland Clinic, Port St. Lucie, FL 34987, USA
| | - Michaela U. Gack
- Florida Research and Innovation Center, Cleveland Clinic, Port St. Lucie, FL 34987, USA
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85
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Bloom JD, Neher RA. Fitness effects of mutations to SARS-CoV-2 proteins. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.30.526314. [PMID: 36778462 PMCID: PMC9915511 DOI: 10.1101/2023.01.30.526314] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Knowledge of the fitness effects of mutations to SARS-CoV-2 can inform assessment of new variants, design of therapeutics resistant to escape, and understanding of the functions of viral proteins. However, experimentally measuring effects of mutations is challenging: we lack tractable lab assays for many SARS-CoV-2 proteins, and comprehensive deep mutational scanning has been applied to only two SARS-CoV-2 proteins. Here we develop an approach that leverages millions of publicly available SARS-CoV-2 sequences to estimate effects of mutations. We first calculate how many independent occurrences of each mutation are expected to be observed along the SARS-CoV-2 phylogeny in the absence of selection. We then compare these expected observations to the actual observations to estimate the effect of each mutation. These estimates correlate well with deep mutational scanning measurements. For most genes, synonymous mutations are nearly neutral, stop-codon mutations are deleterious, and amino-acid mutations have a range of effects. However, some viral accessory proteins are under little to no selection. We provide interactive visualizations of effects of mutations to all SARS-CoV-2 proteins (https://jbloomlab.github.io/SARS2-mut-fitness/). The framework we describe is applicable to any virus for which the number of available sequences is sufficiently large that many independent occurrences of each neutral mutation are observed.
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Affiliation(s)
- Jesse D. Bloom
- Basic Sciences and Computational Biology, Fred Hutchinson Cancer Center
- Department of Genome Sciences, University of Washington
- Howard Hughes Medical Institute
| | - Richard A. Neher
- Biozentrum, University of Basel
- Swiss Institute of Bioinformatics
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86
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Gonzalez-Reiche AS, Alshammary H, Schaefer S, Patel G, Polanco J, Carreño JM, Amoako AA, Rooker A, Cognigni C, Floda D, van de Guchte A, Khalil Z, Farrugia K, Assad N, Zhang J, Alburquerque B, Sominsky LA, Gleason C, Srivastava K, Sebra R, Ramirez JD, Banu R, Shrestha P, Krammer F, Paniz-Mondolfi A, Sordillo EM, Simon V, van Bakel H. Sequential intrahost evolution and onward transmission of SARS-CoV-2 variants. Nat Commun 2023; 14:3235. [PMID: 37270625 PMCID: PMC10239218 DOI: 10.1038/s41467-023-38867-x] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 05/16/2023] [Indexed: 06/05/2023] Open
Abstract
Persistent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections have been reported in immune-compromised individuals and people undergoing immune-modulatory treatments. Although intrahost evolution has been documented, direct evidence of subsequent transmission and continued stepwise adaptation is lacking. Here we describe sequential persistent SARS-CoV-2 infections in three individuals that led to the emergence, forward transmission, and continued evolution of a new Omicron sublineage, BA.1.23, over an eight-month period. The initially transmitted BA.1.23 variant encoded seven additional amino acid substitutions within the spike protein (E96D, R346T, L455W, K458M, A484V, H681R, A688V), and displayed substantial resistance to neutralization by sera from boosted and/or Omicron BA.1-infected study participants. Subsequent continued BA.1.23 replication resulted in additional substitutions in the spike protein (S254F, N448S, F456L, M458K, F981L, S982L) as well as in five other virus proteins. Our findings demonstrate not only that the Omicron BA.1 lineage can diverge further from its already exceptionally mutated genome but also that patients with persistent infections can transmit these viral variants. Thus, there is, an urgent need to implement strategies to prevent prolonged SARS-CoV-2 replication and to limit the spread of newly emerging, neutralization-resistant variants in vulnerable patients.
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Affiliation(s)
- Ana S Gonzalez-Reiche
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Hala Alshammary
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Center for Vaccine Research and Pandemic Preparedness (C-VaRPP), Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Sarah Schaefer
- Division of Infectious Diseases, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Gopi Patel
- Division of Infectious Diseases, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Jose Polanco
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Center for Vaccine Research and Pandemic Preparedness (C-VaRPP), Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Juan Manuel Carreño
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Center for Vaccine Research and Pandemic Preparedness (C-VaRPP), Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Angela A Amoako
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Center for Vaccine Research and Pandemic Preparedness (C-VaRPP), Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Aria Rooker
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Center for Vaccine Research and Pandemic Preparedness (C-VaRPP), Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Christian Cognigni
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Center for Vaccine Research and Pandemic Preparedness (C-VaRPP), Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Daniel Floda
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Adriana van de Guchte
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Zain Khalil
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Keith Farrugia
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Nima Assad
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Jian Zhang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Bremy Alburquerque
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Levy A Sominsky
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Center for Vaccine Research and Pandemic Preparedness (C-VaRPP), Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Charles Gleason
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Center for Vaccine Research and Pandemic Preparedness (C-VaRPP), Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Komal Srivastava
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Center for Vaccine Research and Pandemic Preparedness (C-VaRPP), Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Robert Sebra
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- The Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Juan David Ramirez
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Centro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia
| | - Radhika Banu
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Paras Shrestha
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Florian Krammer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Center for Vaccine Research and Pandemic Preparedness (C-VaRPP), Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Alberto Paniz-Mondolfi
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Emilia Mia Sordillo
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
| | - Viviana Simon
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Center for Vaccine Research and Pandemic Preparedness (C-VaRPP), Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Division of Infectious Diseases, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- The Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
| | - Harm van Bakel
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
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87
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Nchioua R, Schundner A, Klute S, Koepke L, Hirschenberger M, Noettger S, Fois G, Zech F, Graf A, Krebs S, Braubach P, Blum H, Stenger S, Kmiec D, Frick M, Kirchhoff F, Sparrer KM. Reduced replication but increased interferon resistance of SARS-CoV-2 Omicron BA.1. Life Sci Alliance 2023; 6:e202201745. [PMID: 36977594 PMCID: PMC10053418 DOI: 10.26508/lsa.202201745] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 03/18/2023] [Accepted: 03/20/2023] [Indexed: 03/29/2023] Open
Abstract
The IFN system constitutes a powerful antiviral defense machinery. Consequently, effective IFN responses protect against severe COVID-19 and exogenous IFNs inhibit SARS-CoV-2 in vitro. However, emerging SARS-CoV-2 variants of concern (VOCs) may have evolved reduced IFN sensitivity. Here, we determined differences in replication and IFN susceptibility of an early SARS-CoV-2 isolate (NL-02-2020) and the Alpha, Beta, Gamma, Delta, and Omicron VOCs in Calu-3 cells, iPSC-derived alveolar type-II cells (iAT2) and air-liquid interface (ALI) cultures of primary human airway epithelial cells. Our data show that Alpha, Beta, and Gamma replicated to similar levels as NL-02-2020. In comparison, Delta consistently yielded higher viral RNA levels, whereas Omicron was attenuated. All viruses were inhibited by type-I, -II, and -III IFNs, albeit to varying extend. Overall, Alpha was slightly less sensitive to IFNs than NL-02-2020, whereas Beta, Gamma, and Delta remained fully sensitive. Strikingly, Omicron BA.1 was least restricted by exogenous IFNs in all cell models. Our results suggest that enhanced innate immune evasion rather than higher replication capacity contributed to the effective spread of Omicron BA.1.
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Affiliation(s)
- Rayhane Nchioua
- Institute of Molecular Virology, Ulm University Medical Center, Ulm, Germany
| | - Annika Schundner
- Institute of General Physiology, Ulm University Medical Center, Ulm, Germany
| | - Susanne Klute
- Institute of Molecular Virology, Ulm University Medical Center, Ulm, Germany
| | - Lennart Koepke
- Institute of Molecular Virology, Ulm University Medical Center, Ulm, Germany
| | | | - Sabrina Noettger
- Institute of Molecular Virology, Ulm University Medical Center, Ulm, Germany
| | - Giorgio Fois
- Institute of General Physiology, Ulm University Medical Center, Ulm, Germany
| | - Fabian Zech
- Institute of Molecular Virology, Ulm University Medical Center, Ulm, Germany
| | - Alexander Graf
- Laboratory for Functional Genome Analysis, Gene Center, LMU Munich, Munich, Germany
| | - Stefan Krebs
- Laboratory for Functional Genome Analysis, Gene Center, LMU Munich, Munich, Germany
| | - Peter Braubach
- Hannover Medical School, Institute for Pathology, Hannover, Germany
| | - Helmut Blum
- Laboratory for Functional Genome Analysis, Gene Center, LMU Munich, Munich, Germany
| | - Steffen Stenger
- Institute for Medical Microbiology and Hygiene, Ulm University Medical Center, Ulm, Germany
| | - Dorota Kmiec
- Institute of Molecular Virology, Ulm University Medical Center, Ulm, Germany
| | - Manfred Frick
- Institute of General Physiology, Ulm University Medical Center, Ulm, Germany
| | - Frank Kirchhoff
- Institute of Molecular Virology, Ulm University Medical Center, Ulm, Germany
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88
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Kuzmina A, Korovin D, Cohen Lass I, Atari N, Ottolenghi A, Hu P, Mandelboim M, Rosental B, Rosenberg E, Diaz-Griffero F, Taube R. Changes within the P681 residue of spike dictate cell fusion and syncytia formation of Delta and Omicron variants of SARS-CoV-2 with no effects on neutralization or infectivity. Heliyon 2023; 9:e16750. [PMID: 37292300 PMCID: PMC10238279 DOI: 10.1016/j.heliyon.2023.e16750] [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: 11/27/2022] [Revised: 04/13/2023] [Accepted: 05/25/2023] [Indexed: 06/10/2023] Open
Abstract
The rapid spread and dominance of the Omicron SARS-CoV-2 lineages have posed severe health challenges worldwide. While extensive research on the role of the Receptor Binding Domain (RBD) in promoting viral infectivity and vaccine sensitivity has been well documented, the functional significance of the 681PRRAR/SV687 polybasic motif of the viral spike is less clear. In this work, we monitored the infectivity levels and neutralization potential of the wild-type human coronavirus 2019 (hCoV-19), Delta, and Omicron SARS-CoV-2 pseudoviruses against sera samples drawn four months post administration of a third dose of the BNT162b2 mRNA vaccine. Our findings show that in comparison to hCoV-19 and Delta SARS-CoV-2, Omicron lineages BA.1 and BA.2 exhibit enhanced infectivity and a sharp decline in their sensitivity to vaccine-induced neutralizing antibodies. Interestingly, P681 mutations within the viral spike do not play a role in the neutralization potential or infectivity of SARS Cov-2 pseudoviruses carrying mutations in this position. The P681 residue however, dictates the ability of the spike protein to promote fusion and syncytia formation between infected cells. While spike from hCoV-19 (P681) and Omicron (H681) promote only modest cell fusion and formation of syncytia between cells that express the spike-protein, Delta spike (R681) displays enhanced fusogenic activity and promotes syncytia formation. Additional analysis shows that a single P681R mutation within the hCoV-19 spike, or H681R within the Omicron spike, restores fusion potential to similar levels observed for the Delta R681 spike. Conversely, R681P point mutation within the spike of Delta pseudovirus abolishes efficient fusion and syncytia formation. Our investigation also demonstrates that spike proteins from hCoV-19 and Delta SARS-CoV-2 are efficiently incorporated into viral particles relative to the spike of Omicron lineages. We conclude that the third dose of the Pfizer-BNT162b2 provides appreciable protection against the newly emerged Omicron sub-lineages. However, the neutralization sensitivity of these new variants is diminished relative to that of the hCoV-19 or Delta SARS-CoV-2. We further show that the P681 residue within spike dictates cell fusion and syncytia formation with no effects on the infectivity of the specific viral variant and on its sensitivity to vaccine-mediated neutralization.
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Affiliation(s)
- Alona Kuzmina
- The Shraga Segal Department of Microbiology Immunology and Genetics Faculty of Health Sciences, Ben-Gurion University of the Negev, Israel
| | - Dina Korovin
- The Shraga Segal Department of Microbiology Immunology and Genetics Faculty of Health Sciences, Ben-Gurion University of the Negev, Israel
| | - Ido Cohen Lass
- The Shraga Segal Department of Microbiology Immunology and Genetics Faculty of Health Sciences, Ben-Gurion University of the Negev, Israel
| | - Nofar Atari
- Central Virology Laboratory, Public Health Services, Ministry of Health and Sheba Medical Center, Tel-Hashomer, Israel
| | - Aner Ottolenghi
- The Shraga Segal Department of Microbiology Immunology and Genetics Faculty of Health Sciences, Ben-Gurion University of the Negev, Israel
- Regenerative Medicine and Stem Cell Research Center, Ben Gurion University of the Negev, Israel
| | - Pan Hu
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Michal Mandelboim
- Central Virology Laboratory, Public Health Services, Ministry of Health and Sheba Medical Center, Tel-Hashomer, Israel
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv, Israel
| | - Benyamin Rosental
- The Shraga Segal Department of Microbiology Immunology and Genetics Faculty of Health Sciences, Ben-Gurion University of the Negev, Israel
- Regenerative Medicine and Stem Cell Research Center, Ben Gurion University of the Negev, Israel
| | | | - Felipe Diaz-Griffero
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Ran Taube
- The Shraga Segal Department of Microbiology Immunology and Genetics Faculty of Health Sciences, Ben-Gurion University of the Negev, Israel
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Lu AY, Gustin A, Newhouse D, Gale M. Viral Protein Accumulation of Zika Virus Variants Links with Regulation of Innate Immunity for Differential Control of Viral Replication, Spread, and Response to Interferon. J Virol 2023; 97:e0198222. [PMID: 37162358 PMCID: PMC10231147 DOI: 10.1128/jvi.01982-22] [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: 01/11/2023] [Accepted: 04/13/2023] [Indexed: 05/11/2023] Open
Abstract
Asian lineage Zika virus (ZIKV) strains emerged globally, causing outbreaks linked with critical clinical disease outcomes unless the virus is effectively restricted by host immunity. We have previously shown that retinoic acid-inducible gene-I (RIG-I) senses ZIKV to trigger innate immunity to direct interferon (IFN) production and antiviral responses that can control ZIKV infection. However, ZIKV proteins have been demonstrated to antagonize IFN. Here, we conducted in vitro analyses to assess how divergent prototypic ZIKV variants differ in virologic properties, innate immune regulation, and infection outcome. We comparatively assessed African lineage ZIKV/Dakar/1984/ArD41519 (ZIKV/Dakar) and Asian lineage ZIKV/Malaysia/1966/P6740 (ZIKV/Malaysia) in a human epithelial cell infection model. De novo viral sequence determination identified amino acid changes within the ZIKV/Dakar genome compared to ZIKV/Malaysia. Viral growth analyses revealed that ZIKV/Malaysia accumulated viral proteins and genome copies earlier and to higher levels than ZIKV/Dakar. Both ZIKV strains activated RIG-I/IFN regulatory factor (IRF3) and NF-κB pathways to induce inflammatory cytokine expression and types I and III IFNs. However, ZIKV/Malaysia, but not ZIKV/Dakar, potently blocked downstream IFN signaling. Remarkably, ZIKV/Dakar protein accumulation and genome replication were rescued in RIG-I knockout (KO) cells late in acute infection, resulting in ZIKV/Dakar-mediated blockade of IFN signaling. We found that RIG-I signaling specifically restricts viral protein accumulation late in acute infection where early accumulation of viral proteins in infected cells confers enhanced ability to limit IFN signaling, promoting viral replication and spread. Our results demonstrate that RIG-I-mediated innate immune signaling imparts restriction of ZIKV protein accumulation, which permits IFN signaling and antiviral actions controlling ZIKV infection. IMPORTANCE ZIKV isolates are classified under African or Asian lineages. Infection with emerging Asian lineage-derived ZIKV strains is associated with increased incidence of neurological symptoms that were not previously reported during infection with African or preemergent Asian lineage viruses. In this study, we utilized in vitro models to compare the virologic properties of and innate immune responses to two prototypic ZIKV strains from distinct lineages: African lineage ZIKV/Dakar and Asian lineage ZIKV/Malaysia. Compared to ZIKV/Dakar, ZIKV/Malaysia accumulates viral proteins earlier, replicates to higher levels, and robustly blocks IFN signaling during acute infection. Early accumulation of ZIKV/Malaysia NS5 protein confers enhanced ability to antagonize IFN signaling, dampening innate immune responses to promote viral spread. Our data identify the kinetics of viral protein accumulation as a major regulator of host innate immunity, influencing host-mediated control of ZIKV replication and spread. Importantly, these findings provide a novel framework for evaluating the virulence of emerging variants.
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Affiliation(s)
- Amy Y. Lu
- Center for Innate Immunity and Immune Disease, Department of Immunology, University of Washington, Seattle, Washington, USA
- Department of Global Health, University of Washington, Seattle, Washington, USA
| | - Andrew Gustin
- Center for Innate Immunity and Immune Disease, Department of Immunology, University of Washington, Seattle, Washington, USA
| | - Daniel Newhouse
- Center for Innate Immunity and Immune Disease, Department of Immunology, University of Washington, Seattle, Washington, USA
| | - Michael Gale
- Center for Innate Immunity and Immune Disease, Department of Immunology, University of Washington, Seattle, Washington, USA
- Department of Global Health, University of Washington, Seattle, Washington, USA
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90
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Pather S, Madhi SA, Cowling BJ, Moss P, Kamil JP, Ciesek S, Muik A, Türeci Ö. SARS-CoV-2 Omicron variants: burden of disease, impact on vaccine effectiveness and need for variant-adapted vaccines. Front Immunol 2023; 14:1130539. [PMID: 37287979 PMCID: PMC10242031 DOI: 10.3389/fimmu.2023.1130539] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 05/05/2023] [Indexed: 06/09/2023] Open
Abstract
The highly transmissible Omicron (B.1.1.529) variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first detected in late 2021. Initial Omicron waves were primarily made up of sub-lineages BA.1 and/or BA.2, BA.4, and BA.5 subsequently became dominant in mid-2022, and several descendants of these sub-lineages have since emerged. Omicron infections have generally caused less severe disease on average than those caused by earlier variants of concern in healthy adult populations, at least, in part, due to increased population immunity. Nevertheless, healthcare systems in many countries, particularly those with low population immunity, have been overwhelmed by unprecedented surges in disease prevalence during Omicron waves. Pediatric admissions were also higher during Omicron waves compared with waves of previous variants of concern. All Omicron sub-lineages exhibit partial escape from wild-type (Wuhan-Hu 1) spike-based vaccine-elicited neutralizing antibodies, with sub-lineages with more enhanced immuno-evasive properties emerging over time. Evaluating vaccine effectiveness (VE) against Omicron sub-lineages has become challenging against a complex background of varying vaccine coverage, vaccine platforms, prior infection rates, and hybrid immunity. Original messenger RNA vaccine booster doses substantially improved VE against BA.1 or BA.2 symptomatic disease. However, protection against symptomatic disease waned, with reductions detected from 2 months after booster administration. While original vaccine-elicited CD8+ and CD4+ T-cell responses cross-recognize Omicron sub-lineages, thereby retaining protection against severe outcomes, variant-adapted vaccines are required to expand the breadth of B-cell responses and improve durability of protection. Variant-adapted vaccines were rolled out in late 2022 to increase overall protection against symptomatic and severe infections caused by Omicron sub-lineages and antigenically aligned variants with enhanced immune escape mechanisms.
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Affiliation(s)
| | - Shabir A. Madhi
- South African Medical Research Council Vaccines and Infectious Diseases Analytics Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Benjamin J. Cowling
- School of Public Health, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Paul Moss
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, United Kingdom
| | - Jeremy P. Kamil
- Department of Microbiology and Immunology, Louisiana State University Health Sciences Center Shreveport, Shreveport, LA, United States
| | - Sandra Ciesek
- Institute for Medical Virology, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt, Germany
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91
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Lai P, Xu S, Xue JH, Zhang HZ, Zhong YM, Liao YL. Current hotspot and study trend of innate immunity in COVID-19: a bibliometric analysis from 2020 to 2022. Front Immunol 2023; 14:1135334. [PMID: 37234160 PMCID: PMC10206249 DOI: 10.3389/fimmu.2023.1135334] [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: 12/31/2022] [Accepted: 04/25/2023] [Indexed: 05/27/2023] Open
Abstract
Background Since the coronavirus disease 2019 (COVID-19) has spread throughout the world, many studies on innate immunity in COVID-19 have been published, and great progress has been achieved, while bibliometric analysis on hotspots and research trends in this field remains lacking. Methods On 17 November 2022, articles and reviews on innate immunity in COVID-19 were recruited from the Web of Science Core Collection (WoSCC) database after papers irrelevant to COVID-19 were further excluded. The number of annual publications and the average citations per paper were analyzed by Microsoft Excel. Bibliometric analysis and visualization of the most prolific contributors and hotspots in the field were performed by VOSviewer and CiteSpace software. Results There were 1,280 publications that met the search strategy on innate immunity in COVID-19 and were published from 1 January 2020 to 31 October 2022. Nine hundred thirteen articles and reviews were included in the final analysis. The USA had the highest number of publications (Np) at 276 and number of citations without self-citations (Nc) at 7,085, as well as an H-index of 42, which contributed 30.23% of the total publications, followed by China (Np: 135, Nc: 4,798, and H-index: 23) with 14.79% contribution. Regarding Np for authors, Netea, Mihai G. (Np: 7) from the Netherlands was the most productive author, followed by Joosten, Leo A. B. (Np: 6) and Lu, Kuo-Cheng (Np: 6). The Udice French Research Universities had the most publications (Np: 31, Nc: 2,071, H-index: 13), with an average citation number (ACN) at 67. The journal Frontiers in Immunology possessed the most publications (Np: 89, Nc: 1,097, ACN: 12.52). "Evasion" (strength 1.76, 2021-2022), "neutralizing antibody" (strength 1.76, 2021-2022), "messenger RNA" (strength 1.76, 2021-2022), "mitochondrial DNA" (strength 1.51, 2021-2022), "respiratory infection" (strength 1.51, 2021-2022), and "toll-like receptors" (strength 1.51, 2021-2022) were the emerging keywords in this field. Conclusion The study on innate immunity in COVID-19 is a hot topic. The USA was the most productive and influential country in this field, followed by China. The journal with the most publications was Frontiers in Immunology. "Messenger RNA," "mitochondrial DNA," and "toll-like receptors" are the current hotspots and potential targets in future research.
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Affiliation(s)
- Ping Lai
- Department of Cardiology, First Affiliated Hospital of Gannan Medical University, Gannan Medical University, Ganzhou, China
- Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, China
- Institute of Experimental Cardiovascular Research, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Shuquan Xu
- The First School of Clinical Medicine, Gannan Medical University, Ganzhou, China
| | - Jin-hua Xue
- Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, China
| | - Hong-zhou Zhang
- Department of Cardiology, First Affiliated Hospital of Gannan Medical University, Gannan Medical University, Ganzhou, China
| | - Yi-ming Zhong
- Department of Cardiology, First Affiliated Hospital of Gannan Medical University, Gannan Medical University, Ganzhou, China
- The First School of Clinical Medicine, Gannan Medical University, Ganzhou, China
| | - Yong-ling Liao
- Department of Cardiology, First Affiliated Hospital of Gannan Medical University, Gannan Medical University, Ganzhou, China
- The First School of Clinical Medicine, Gannan Medical University, Ganzhou, China
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92
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Bills C, Xie X, Shi PY. The multiple roles of nsp6 in the molecular pathogenesis of SARS-CoV-2. Antiviral Res 2023; 213:105590. [PMID: 37003304 PMCID: PMC10063458 DOI: 10.1016/j.antiviral.2023.105590] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 03/19/2023] [Accepted: 03/27/2023] [Indexed: 04/03/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to evolve and adapt after its emergence in late 2019. As the causative agent of the coronavirus disease 2019 (COVID-19), the replication and pathogenesis of SARS-CoV-2 have been extensively studied by the research community for vaccine and therapeutics development. Given the importance of viral spike protein in viral infection/transmission and vaccine development, the scientific community has thus far primarily focused on studying the structure, function, and evolution of the spike protein. Other viral proteins are understudied. To fill in this knowledge gap, a few recent studies have identified nonstructural protein 6 (nsp6) as a major contributor to SARS-CoV-2 replication through the formation of replication organelles, antagonism of interferon type I (IFN-I) responses, and NLRP3 inflammasome activation (a major factor of severe disease in COVID-19 patients). Here, we review the most recent progress on the multiple roles of nsp6 in modulating SARS-CoV-2 replication and pathogenesis.
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Affiliation(s)
- Cody Bills
- Department of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, Texas, USA
| | - Xuping Xie
- Department of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, Texas, USA
| | - Pei-Yong Shi
- Department of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, Texas, USA; Institute for Human Infection and Immunity, University of Texas Medical Branch, Galveston, Texas, USA; World Reference Center of Emerging Viruses and Arboviruses, University of Texas Medical Branch, Galveston, Texas, USA; Center for Biodefense and Emerging Infectious Diseases, University of Texas Medical Branch, Galveston, Texas, USA; Sealy Institute for Drug Discovery, University of Texas Medical Branch, Galveston, Texas, USA.
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93
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Ren W, Zhang Y, Rao J, Wang Z, Lan J, Liu K, Zhang X, Hu X, Yang C, Zhong G, Zhang R, Wang X, Shan C, Ding Q. Evolution of Immune Evasion and Host Range Expansion by the SARS-CoV-2 B.1.1.529 (Omicron) Variant. mBio 2023; 14:e0041623. [PMID: 37010428 PMCID: PMC10127688 DOI: 10.1128/mbio.00416-23] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 03/07/2023] [Indexed: 04/04/2023] Open
Abstract
Recently, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant B.1.1.529 (Omicron) has rapidly become the dominant strain, with an unprecedented number of mutations within its spike gene. However, it remains unknown whether these variants have alterations in their entry efficiency, host tropism, and sensitivity to neutralizing antibodies and entry inhibitors. In this study, we found that Omicron spike has evolved to escape neutralization by three-dose inactivated-vaccine-elicited immunity but remains sensitive to an angiotensin-converting enzyme 2 (ACE2) decoy receptor. Moreover, Omicron spike could use human ACE2 with a slightly increased efficiency while gaining a significantly increased binding affinity for a mouse ACE2 ortholog, which exhibits limited binding with wild-type (WT) spike. Furthermore, Omicron could infect wild-type C57BL/6 mice and cause histopathological changes in the lungs. Collectively, our results reveal that evasion of neutralization by vaccine-elicited antibodies and enhanced human and mouse ACE2 receptor engagement may contribute to the expanded host range and rapid spread of the Omicron variant. IMPORTANCE The recently emerged SARS-CoV-2 Omicron variant with numerous mutations in the spike protein has rapidly become the dominant strain, thereby raising concerns about the effectiveness of vaccines. Here, we found that the Omicron variant exhibits a reduced sensitivity to serum neutralizing activity induced by a three-dose inactivated vaccine but remains sensitive to entry inhibitors or an ACE2-Ig decoy receptor. Compared with the ancestor strain isolated in early 2020, the spike protein of Omicron utilizes the human ACE2 receptor with enhanced efficiency while gaining the ability to utilize mouse ACE2 for cell entry. Moreover, Omicron could infect wild-type mice and cause pathological changes in the lungs. These results reveal that antibody evasion, enhanced human ACE2 utilization, and an expanded host range may contribute to its rapid spread.
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Affiliation(s)
- Wenlin Ren
- Center for Infectious Disease Research, School of Medicine, Tsinghua University, Beijing, China
| | - Yu Zhang
- Center for Infectious Disease Research, School of Medicine, Tsinghua University, Beijing, China
| | - Juhong Rao
- State Key Laboratory of Virology, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Ziyi Wang
- School of Life Sciences, Tsinghua University, Beijing, China
| | - Jun Lan
- School of Life Sciences, Tsinghua University, Beijing, China
| | - Kunpeng Liu
- State Key Laboratory of Virology, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xuekai Zhang
- State Key Laboratory of Virology, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xue Hu
- State Key Laboratory of Virology, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China
| | - Chen Yang
- Center for Infectious Disease Research, School of Medicine, Tsinghua University, Beijing, China
| | - Guocai Zhong
- Shenzhen Bay Laboratory, Shenzhen, China
- School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, China
| | - Rong Zhang
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Biosafety Level 3 Laboratory, Fudan University, Shanghai, China
| | - Xinquan Wang
- School of Life Sciences, Tsinghua University, Beijing, China
| | - Chao Shan
- State Key Laboratory of Virology, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China
| | - Qiang Ding
- Center for Infectious Disease Research, School of Medicine, Tsinghua University, Beijing, China
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Kenaston MW, Shah PS. The Archer and the Prey: The Duality of PAF1C in Antiviral Immunity. Viruses 2023; 15:v15051032. [PMID: 37243120 DOI: 10.3390/v15051032] [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: 03/29/2023] [Revised: 04/18/2023] [Accepted: 04/21/2023] [Indexed: 05/28/2023] Open
Abstract
In the ongoing arms race between virus and host, fine-tuned gene expression plays a critical role in antiviral signaling. However, viruses have evolved to disrupt this process and promote their own replication by targeting host restriction factors. Polymerase-associated factor 1 complex (PAF1C) is a key player in this relationship, recruiting other host factors to regulate transcription and modulate innate immune gene expression. Consequently, PAF1C is consistently targeted by a diverse range of viruses, either to suppress its antiviral functions or co-opt them for their own benefit. In this review, we delve into the current mechanisms through which PAF1C restricts viruses by activating interferon and inflammatory responses at the transcriptional level. We also highlight how the ubiquity of these mechanisms makes PAF1C especially vulnerable to viral hijacking and antagonism. Indeed, as often as PAF1C is revealed to be a restriction factor, viruses are found to have targeted the complex in reply.
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Affiliation(s)
- Matthew W Kenaston
- Department of Microbiology and Molecular Genetics, University of California, Davis, CA 95616, USA
| | - Priya S Shah
- Department of Microbiology and Molecular Genetics, University of California, Davis, CA 95616, USA
- Department of Chemical Engineering, University of California, Davis, CA 95616, USA
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95
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Moriyama M, Lucas C, Monteiro V, Iwasaki A. Enhanced inhibition of MHC-I expression by SARS-CoV-2 Omicron subvariants. Proc Natl Acad Sci U S A 2023; 120:e2221652120. [PMID: 37036977 PMCID: PMC10120007 DOI: 10.1073/pnas.2221652120] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 03/09/2023] [Indexed: 04/12/2023] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern (VOCs) possess mutations that confer resistance to neutralizing antibodies within the Spike protein and are associated with breakthrough infection and reinfection. By contrast, less is known about the escape from CD8+ T cell-mediated immunity by VOC. Here, we demonstrated that all SARS-CoV-2 VOCs possess the ability to suppress major histocompatibility complex class I (MHC-I) expression. We identified several viral genes that contribute to the suppression of MHC I expression. Notably, MHC-I upregulation was strongly inhibited after SARS-CoV-2 but not influenza virus infection in vivo. While earlier VOCs possess similar capacity as the ancestral strain to suppress MHC-I, the Omicron subvariants exhibited a greater ability to suppress surface MHC-I expression. We identified a common mutation in the E protein of Omicron that further suppressed MHC-I expression. Collectively, our data suggest that in addition to escaping from neutralizing antibodies, the success of Omicron subvariants to cause breakthrough infection and reinfection may in part be due to its optimized evasion from T cell recognition.
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Affiliation(s)
- Miyu Moriyama
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT06520
| | - Carolina Lucas
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT06520
| | | | | | - Akiko Iwasaki
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT06520
- Department of Molecular Cellular and Developmental Biology, Yale University, New HavenCT06520
- HHMI, Chevy Chase, MD20815
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96
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Mori A, Lavezzari D, Pomari E, Deiana M, Piubelli C, Capobianchi MR, Castilletti C. sgRNAs: A SARS-CoV-2 emerging issue. ASPECTS OF MOLECULAR MEDICINE 2023; 1:100008. [PMID: 37519862 PMCID: PMC10105645 DOI: 10.1016/j.amolm.2023.100008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 04/14/2023] [Accepted: 04/15/2023] [Indexed: 08/01/2023]
Abstract
Like for other coronaviruses, SARS-CoV-2 gene expression strategy is based on the synthesis of a nested set of subgenomic mRNA species (sgRNAs). These sgRNA are synthesized using a "discontinuous transcription" mechanism that relies on template switching at Transcription Regulatory Sequences (TRS). Both canonical (c-sgRNA) and non-canonical (nc-sgRNA, less numerous) subgenomic RNA species can be produced. Currently, sgRNAs are investigated on the basis of sequence data obtained through next generation sequencing (NGS), and bioinformatic tools are crucial for their identification, characterization and quantification. To date, few software have been developed to this aim, whose reliability and applicability to all the available NGS platforms need to be established, to build confidence on the information resulting from such tools. In fact, these information may be crucial for the in depth elucidation of viral expression strategy, particularly in respect of the significance of nc-sgRNAs, and for the possible use of sgRNAs as potential markers of virus replicative activity in infected patients.
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Affiliation(s)
- Antonio Mori
- Department of Infectious, Tropical Diseases and Microbiology, IRCCS Sacro Cuore Don Calabria Hospital, Negrar di Valpolicella, 37024, Verona, Italy
| | - Denise Lavezzari
- Department of Infectious, Tropical Diseases and Microbiology, IRCCS Sacro Cuore Don Calabria Hospital, Negrar di Valpolicella, 37024, Verona, Italy
| | - Elena Pomari
- Department of Infectious, Tropical Diseases and Microbiology, IRCCS Sacro Cuore Don Calabria Hospital, Negrar di Valpolicella, 37024, Verona, Italy
| | - Michela Deiana
- Department of Infectious, Tropical Diseases and Microbiology, IRCCS Sacro Cuore Don Calabria Hospital, Negrar di Valpolicella, 37024, Verona, Italy
| | - Chiara Piubelli
- Department of Infectious, Tropical Diseases and Microbiology, IRCCS Sacro Cuore Don Calabria Hospital, Negrar di Valpolicella, 37024, Verona, Italy
| | - Maria Rosaria Capobianchi
- Department of Infectious, Tropical Diseases and Microbiology, IRCCS Sacro Cuore Don Calabria Hospital, Negrar di Valpolicella, 37024, Verona, Italy
| | - Concetta Castilletti
- Department of Infectious, Tropical Diseases and Microbiology, IRCCS Sacro Cuore Don Calabria Hospital, Negrar di Valpolicella, 37024, Verona, Italy
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97
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Lim NWH, Lim JT, Dickens BL. Border Control for Infectious Respiratory Disease Pandemics: A Modelling Study for H1N1 and Four Strains of SARS-CoV-2. Viruses 2023; 15:v15040978. [PMID: 37112958 PMCID: PMC10144227 DOI: 10.3390/v15040978] [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: 03/22/2023] [Revised: 04/11/2023] [Accepted: 04/13/2023] [Indexed: 04/29/2023] Open
Abstract
Post-pandemic economic recovery relies on border control for safe cross-border movement. Following the COVID-19 pandemic, we investigate whether effective strategies generalize across diseases and variants. For four SARS-CoV-2 variants and influenza A-H1N1, we simulated 21 strategy families of varying test types and frequencies, quantifying expected transmission risk, relative to no control, by strategy family and quarantine length. We also determined minimum quarantine lengths to suppress relative risk below given thresholds. SARS-CoV-2 variants showed similar relative risk across strategy families and quarantine lengths, with at most 2 days' between-variant difference in minimum quarantine lengths. ART-based and PCR-based strategies showed comparable effectiveness, with regular testing strategies requiring at most 9 days. For influenza A-H1N1, ART-based strategies were ineffective. Daily ART testing reduced relative risk only 9% faster than without regular testing. PCR-based strategies were moderately effective, with daily PCR (0-day delay) testing requiring 16 days for the second-most stringent threshold. Viruses with high typical viral loads and low transmission risk given low viral loads, such as SARS-CoV-2, are effectively controlled with moderate-sensitivity tests (ARTs) and modest quarantine periods. Viruses with low typical viral loads and substantial transmission risk at low viral loads, such as influenza A-H1N1, require high-sensitivity tests (PCR) and longer quarantine periods.
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Affiliation(s)
- Nigel Wei-Han Lim
- Saw Swee Hock School of Public Health, National University of Singapore 12 Science Drive 2, #10-01, Singapore 117549, Singapore
| | - Jue Tao Lim
- Lee Kong Chian School of Medicine, Nanyang Technological University Experimental Medicine Building, 59 Nanyang Drive, Singapore 636921, Singapore
| | - Borame Lee Dickens
- Saw Swee Hock School of Public Health, National University of Singapore 12 Science Drive 2, #10-01, Singapore 117549, Singapore
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Yang Z, Zhang Q, Wu X, Hao S, Hao X, Jones E, Zhang Y, Qiu J, Xu L. Repurposing niclosamide as a novel anti-SARS-Cov-2 drug by restricting entry protein CD147. RESEARCH SQUARE 2023:rs.3.rs-2763207. [PMID: 37090542 PMCID: PMC10120763 DOI: 10.21203/rs.3.rs-2763207/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
Background The burst of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is causing the global COVID-19 pandemic. But until today only limited numbers of drugs are discovered to treat COVID-19 patients. Even worse, the rapid mutations of SARS-CoV-2 compromise the effectiveness of existing vaccines and neutralizing antibodies due to the increased viral transmissibility and immune escape. CD147-spike protein, one of the entries of SRAR-CoV-2 into host cells, has been reported as a promising therapeutic target for developing drugs against COVID-19. Methods CRISPR-Cas9 induced gene knockout, western blotting, tet-off protein overexpression, ribonucleoprotein IP and RNA-IP were used to confirm the regulation of HuR on mRNA of CD147. Regulation of niclosamide on HuR nucleo-translocation was assessed by immunofluorescence staining of cell lines, IHC staining of tissue of mouse model and western blotting. Finally, the suppression of niclosamide on SARS-CoV-2 infection induced CD147 was evaluated by ACE2-expressing A549 cells and western blotting. Results We first discovered a novel regulation mechanism of CD147 via the RNA-binding protein HuR. We found that HuR regulates CD147 post-transcription by directly bound to its 3'-UTR. The loss of HuR reduced CD147 in multiple cell lines. Niclosamide inhibited CD147 function by blocking HuR cytoplasmic translocation and diminishing CD147 glycosylation. SARS-CoV-2 infection induced CD147 in ACE2-expressing A549 cells, which could be neutralized by niclosamide in a dose-dependent manner. Conclusion Together, our study reveals a novel regulation mechanism of CD147 and niclosamide can be repurposed as an effective COVID-19 drug by targeting the virus entry, CD147-spike protein.
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Pascall DJ, Vink E, Blacow R, Bulteel N, Campbell A, Campbell R, Clifford S, Davis C, da Silva Filipe A, El Sakka N, Fjodorova L, Forrest R, Goldstein E, Gunson R, Haughney J, Holden MTG, Honour P, Hughes J, James E, Lewis T, Lycett S, MacLean O, McHugh M, Mollett G, Onishi Y, Parcell B, Ray S, Robertson DL, Shabaan S, Shepherd JG, Smollett K, Templeton K, Wastnedge E, Wilkie C, Williams T, Thomson EC. The SARS-CoV-2 Alpha variant was associated with increased clinical severity of COVID-19 in Scotland: A genomics-based retrospective cohort analysis. PLoS One 2023; 18:e0284187. [PMID: 37053201 PMCID: PMC10101505 DOI: 10.1371/journal.pone.0284187] [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: 08/12/2022] [Accepted: 03/24/2023] [Indexed: 04/14/2023] Open
Abstract
OBJECTIVES The SARS-CoV-2 Alpha variant was associated with increased transmission relative to other variants present at the time of its emergence and several studies have shown an association between Alpha variant infection and increased hospitalisation and 28-day mortality. However, none have addressed the impact on maximum severity of illness in the general population classified by the level of respiratory support required, or death. We aimed to do this. METHODS In this retrospective multi-centre clinical cohort sub-study of the COG-UK consortium, 1475 samples from Scottish hospitalised and community cases collected between 1st November 2020 and 30th January 2021 were sequenced. We matched sequence data to clinical outcomes as the Alpha variant became dominant in Scotland and modelled the association between Alpha variant infection and severe disease using a 4-point scale of maximum severity by 28 days: 1. no respiratory support, 2. supplemental oxygen, 3. ventilation and 4. death. RESULTS Our cumulative generalised linear mixed model analyses found evidence (cumulative odds ratio: 1.40, 95% CI: 1.02, 1.93) of a positive association between increased clinical severity and lineage (Alpha variant versus pre-Alpha variants). CONCLUSIONS The Alpha variant was associated with more severe clinical disease in the Scottish population than co-circulating lineages.
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Affiliation(s)
- David J. Pascall
- MRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom
- Joint Universities Pandemic and Epidemiological Research (JUNIPER) Consortium, United Kingdom
| | - Elen Vink
- MRC–University of Glasgow Centre for Virus Research (CVR), Glasgow, United Kingdom
- NHS Lothian, Edinburgh, United Kingdom
| | - Rachel Blacow
- MRC–University of Glasgow Centre for Virus Research (CVR), Glasgow, United Kingdom
- NHS Greater Glasgow and Clyde, Glasgow, United Kingdom
| | | | | | | | | | - Chris Davis
- MRC–University of Glasgow Centre for Virus Research (CVR), Glasgow, United Kingdom
| | - Ana da Silva Filipe
- MRC–University of Glasgow Centre for Virus Research (CVR), Glasgow, United Kingdom
| | | | | | | | | | - Rory Gunson
- NHS Greater Glasgow and Clyde, Glasgow, United Kingdom
| | - John Haughney
- NHS Greater Glasgow and Clyde, Glasgow, United Kingdom
| | - Matthew T. G. Holden
- Public Health Scotland, Edinburgh, United Kingdom
- School of Medicine, University of St Andrews, St Andrews, Fife, United Kingdom
| | | | - Joseph Hughes
- MRC–University of Glasgow Centre for Virus Research (CVR), Glasgow, United Kingdom
| | - Edward James
- NHS Borders, Melrose, Scottish Borders, United Kingdom
| | - Tim Lewis
- NHS Lothian, Edinburgh, United Kingdom
| | - Samantha Lycett
- The Roslin Institute, University of Edinburgh, Midlothian, United Kingdom
| | - Oscar MacLean
- MRC–University of Glasgow Centre for Virus Research (CVR), Glasgow, United Kingdom
| | | | - Guy Mollett
- MRC–University of Glasgow Centre for Virus Research (CVR), Glasgow, United Kingdom
- NHS Greater Glasgow and Clyde, Glasgow, United Kingdom
| | | | - Ben Parcell
- School of Life Sciences, University of Dundee, Dundee, United Kingdom
| | - Surajit Ray
- School of Mathematics and Statistics, University of Glasgow, Glasgow, United Kingdom
| | - David L. Robertson
- MRC–University of Glasgow Centre for Virus Research (CVR), Glasgow, United Kingdom
| | | | - James G. Shepherd
- MRC–University of Glasgow Centre for Virus Research (CVR), Glasgow, United Kingdom
| | - Katherine Smollett
- MRC–University of Glasgow Centre for Virus Research (CVR), Glasgow, United Kingdom
| | | | | | - Craig Wilkie
- School of Mathematics and Statistics, University of Glasgow, Glasgow, United Kingdom
| | - Thomas Williams
- NHS Lothian, Edinburgh, United Kingdom
- Royal Hospital for Children and Young People, University of Edinburgh, Edinburgh, United Kingdom
| | - Emma C. Thomson
- MRC–University of Glasgow Centre for Virus Research (CVR), Glasgow, United Kingdom
- NHS Greater Glasgow and Clyde, Glasgow, United Kingdom
- London School of Hygiene and Tropical Medicine, London, United Kingdom
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Markov PV, Ghafari M, Beer M, Lythgoe K, Simmonds P, Stilianakis NI, Katzourakis A. The evolution of SARS-CoV-2. Nat Rev Microbiol 2023; 21:361-379. [PMID: 37020110 DOI: 10.1038/s41579-023-00878-2] [Citation(s) in RCA: 234] [Impact Index Per Article: 234.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/01/2023] [Indexed: 04/07/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused millions of deaths and substantial morbidity worldwide. Intense scientific effort to understand the biology of SARS-CoV-2 has resulted in daunting numbers of genomic sequences. We witnessed evolutionary events that could mostly be inferred indirectly before, such as the emergence of variants with distinct phenotypes, for example transmissibility, severity and immune evasion. This Review explores the mechanisms that generate genetic variation in SARS-CoV-2, underlying the within-host and population-level processes that underpin these events. We examine the selective forces that likely drove the evolution of higher transmissibility and, in some cases, higher severity during the first year of the pandemic and the role of antigenic evolution during the second and third years, together with the implications of immune escape and reinfections, and the increasing evidence for and potential relevance of recombination. In order to understand how major lineages, such as variants of concern (VOCs), are generated, we contrast the evidence for the chronic infection model underlying the emergence of VOCs with the possibility of an animal reservoir playing a role in SARS-CoV-2 evolution, and conclude that the former is more likely. We evaluate uncertainties and outline scenarios for the possible future evolutionary trajectories of SARS-CoV-2.
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Affiliation(s)
- Peter V Markov
- European Commission, Joint Research Centre (JRC), Ispra, Italy.
- London School of Hygiene & Tropical Medicine, University of London, London, UK.
| | - Mahan Ghafari
- Big Data Institute, University of Oxford, Oxford, UK
| | - Martin Beer
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Insel Riems, Germany
| | | | - Peter Simmonds
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Nikolaos I Stilianakis
- European Commission, Joint Research Centre (JRC), Ispra, Italy
- Department of Biometry and Epidemiology, University of Erlangen-Nuremberg, Erlangen, Germany
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