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Muneer A, Xie L, Xie X, Zhang F, Wrobel JA, Xiong Y, Yu X, Wang C, Gheorghe C, Wu P, Song J, Ming GL, Jin J, Song H, Shi PY, Chen X. Targeting G9a translational mechanism of SARS-CoV-2 pathogenesis for multifaceted therapeutics of COVID-19 and its sequalae. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.04.583415. [PMID: 38496599 PMCID: PMC10942352 DOI: 10.1101/2024.03.04.583415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
By largely unknown mechanism(s), SARS-CoV-2 hijacks the host translation apparatus to promote COVID-19 pathogenesis. We report that the histone methyltransferase G9a noncanonically regulates viral hijacking of the translation machinery to bring about COVID-19 symptoms of hyperinflammation, lymphopenia, and blood coagulation. Chemoproteomic analysis of COVID-19 patient peripheral mononuclear blood cells (PBMC) identified enhanced interactions between SARS-CoV-2-upregulated G9a and distinct translation regulators, particularly the N 6 -methyladenosine (m 6 A) RNA methylase METTL3. These interactions with translation regulators implicated G9a in translational regulation of COVID-19. Inhibition of G9a activity suppressed SARS-CoV-2 replication in human alveolar epithelial cells. Accordingly, multi-omics analysis of the same alveolar cells identified SARS-CoV-2-induced changes at the transcriptional, m 6 A-epitranscriptional, translational, and post-translational (phosphorylation or secretion) levels that were reversed by inhibitor treatment. As suggested by the aforesaid chemoproteomic analysis, these multi-omics-correlated changes revealed a G9a-regulated translational mechanism of COVID-19 pathogenesis in which G9a directs translation of viral and host proteins associated with SARS-CoV-2 replication and with dysregulation of host response. Comparison of proteomic analyses of G9a inhibitor-treated, SARS-CoV-2 infected cells, or ex vivo culture of patient PBMCs, with COVID-19 patient data revealed that G9a inhibition reversed the patient proteomic landscape that correlated with COVID-19 pathology/symptoms. These data also indicated that the G9a-regulated, inhibitor-reversed, translational mechanism outperformed G9a-transcriptional suppression to ultimately determine COVID-19 pathogenesis and to define the inhibitor action, from which biomarkers of serve symptom vulnerability were mechanistically derived. This cell line-to-patient conservation of G9a-translated, COVID-19 proteome suggests that G9a inhibitors can be used to treat patients with COVID-19, particularly patients with long-lasting COVID-19 sequelae.
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Khaledi M, Sameni F, Yahyazade S, Radandish M, Owlia P, Bagheri N, Afkhami H, Mahjoor M, Esmaelpour Z, Kohansal M, Aghaei F. COVID-19 and the potential of Janus family kinase (JAK) pathway inhibition: A novel treatment strategy. Front Med (Lausanne) 2022; 9:961027. [PMID: 36111104 PMCID: PMC9469902 DOI: 10.3389/fmed.2022.961027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 08/08/2022] [Indexed: 11/13/2022] Open
Abstract
Recent evidence proposed that the severity of the coronavirus disease 2019 (COVID-19) in patients is a consequence of cytokine storm, characterized by increased IL-1β, IL-6, IL-18, TNF-α, and IFN-γ. Hence, managing the cytokine storm by drugs has been suggested for the treatment of patients with severe COVID-19. Several of the proinflammatory cytokines involved in the pathogenesis of COVID-19 infection recruit a distinct intracellular signaling pathway mediated by JAKs. Consequently, JAK inhibitors, including baricitinib, pacritinib, ruxolitinib, and tofacitinib, may represent an effective therapeutic strategy for controlling the JAK to treat COVID-19. This study indicates the mechanism of cytokine storm and JAK/STAT pathway in COVID-19 as well as the medications used for JAK/STAT inhibitors.
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Affiliation(s)
- Mansoor Khaledi
- Department of Microbiology, Faculty of Medicine, Shahed University, Tehran, Iran
| | - Fatemeh Sameni
- Department of Microbiology, Faculty of Medicine, Shahed University, Tehran, Iran
| | - Sheida Yahyazade
- Department of Immunology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Maedeh Radandish
- Department of Immunology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Parviz Owlia
- Molecular Microbiology Research Center, Faculty of Medicine, Shahed University, Tehran, Iran
- *Correspondence: Parviz Owlia ;
| | - Nader Bagheri
- Cellular and Molecular Research Center, Basic Health Sciences Institute, Shahrekord University of Medical Sciences, Shahrekord, Iran
- Nader Bagheri
| | | | - Mohamad Mahjoor
- Department of Immunology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Zahra Esmaelpour
- Reference Laboratory for Bovine Tuberculosis, Razi Vaccine and Serum Research Institute, Karaj, Iran
| | - Maryam Kohansal
- Department of Medical Biotechnology, Fasa University of Medical Sciences, Fasa, Iran
| | - Farzad Aghaei
- Cellular and Molecular Research Center, Basic Health Sciences Institute, Shahrekord University of Medical Sciences, Shahrekord, Iran
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3
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Fé LXSGM, Cipolatti EP, Pinto MCC, Branco S, Nogueira FCS, Ortiz GMD, Pinheiro ADS, Manoel EA. Enzymes in the time of COVID-19: An overview about the effects in the human body, enzyme market, and perspectives for new drugs. Med Res Rev 2022; 42:2126-2167. [PMID: 35762498 PMCID: PMC9350392 DOI: 10.1002/med.21919] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 01/27/2022] [Accepted: 06/08/2022] [Indexed: 12/11/2022]
Abstract
The rising pandemic caused by a coronavirus, resulted in a scientific quest to discover some effective treatments against its etiologic agent, the severe acute respiratory syndrome‐coronavirus 2 (SARS‐CoV‐2). This research represented a significant scientific landmark and resulted in many medical advances. However, efforts to understand the viral mechanism of action and how the human body machinery is subverted during the infection are still ongoing. Herein, we contributed to this field with this compilation of the roles of both viral and human enzymes in the context of SARS‐CoV‐2 infection. In this sense, this overview reports that proteases are vital for the infection to take place: from SARS‐CoV‐2 perspective, the main protease (Mpro) and papain‐like protease (PLpro) are highlighted; from the human body, angiotensin‐converting enzyme‐2, transmembrane serine protease‐2, and cathepsins (CatB/L) are pointed out. In addition, the influence of the virus on other enzymes is reported as the JAK/STAT pathway and the levels of lipase, enzymes from the cholesterol metabolism pathway, amylase, aspartate aminotransferase, alanine aminotransferase, lactate dehydrogenase, and glyceraldehyde 3‐phosphate dehydrogenase are also be disturbed in SARS‐CoV‐2 infection. Finally, this paper discusses the importance of detailed enzymatic studies for future treatments against SARS‐CoV‐2, and how some issues related to the syndrome treatment can create opportunities in the biotechnological market of enzymes and the development of new drugs.
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Affiliation(s)
- Luana Xavier Soares Gomes Moura Fé
- Departamento de Biotecnologia Farmacêutica, Faculdade de Farmácia, Centro de Ciências da Saúde (CCS), Universidade Federal do Rio de Janeiro (UFRJ)-Cidade Universitária, Rio de Janeiro, Rio de Janeiro, Brazil
| | - Eliane Pereira Cipolatti
- Departamento de Biotecnologia Farmacêutica, Faculdade de Farmácia, Centro de Ciências da Saúde (CCS), Universidade Federal do Rio de Janeiro (UFRJ)-Cidade Universitária, Rio de Janeiro, Rio de Janeiro, Brazil.,Departamento de Engenharia Química, Instituto de Tecnologia, Universidade Federal Rural do Rio de Janeiro (UFRRJ), Seropédica, Rio de Janeiro, Brazil
| | - Martina Costa Cerqueira Pinto
- Departamento de Bioquímica, Instituto de Química, Centro de Tecnologia (CT), Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Rio de Janeiro, Brazil.,Chemical Engineering Program, Instituto Alberto Luiz Coimbra de Pós-graduação e Pesquisa de Engenharia (COPPE), Centro de Tecnologia (CT), Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Rio de Janeiro, Brazil
| | - Suema Branco
- Biofísica Ambiental, Instituto de Biofísica Carlos Chagas Filho, Centro de Ciências da Saúde (CCS), Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Rio de Janeiro, Brazil
| | - Fábio César Sousa Nogueira
- Departamento de Bioquímica, Instituto de Química, Centro de Tecnologia (CT), Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Rio de Janeiro, Brazil
| | - Gisela Maria Dellamora Ortiz
- Departamento de Fármacos e Medicamentos, Faculdade de Farmácia, Centro de Ciências da Saúde (CCS), Universidade Federal do Rio de Janeiro (UFRJ)-Cidade Universitária, Rio de Janeiro, Rio de Janeiro, Brazil
| | - Anderson de Sá Pinheiro
- Departamento de Bioquímica, Instituto de Química, Centro de Tecnologia (CT), Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Rio de Janeiro, Brazil
| | - Evelin Andrade Manoel
- Departamento de Biotecnologia Farmacêutica, Faculdade de Farmácia, Centro de Ciências da Saúde (CCS), Universidade Federal do Rio de Janeiro (UFRJ)-Cidade Universitária, Rio de Janeiro, Rio de Janeiro, Brazil.,Departamento de Bioquímica, Instituto de Química, Centro de Tecnologia (CT), Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Rio de Janeiro, Brazil
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4
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Pinto G, Illiano A, Ferrucci V, Quarantelli F, Fontanarosa C, Siciliano R, Di Domenico C, Izzo B, Pucci P, Marino G, Zollo M, Amoresano A. Identification of SARS-CoV-2 Proteins from Nasopharyngeal Swabs Probed by Multiple Reaction Monitoring Tandem Mass Spectrometry. ACS OMEGA 2021; 6:34945-34953. [PMID: 34926968 PMCID: PMC8672425 DOI: 10.1021/acsomega.1c05587] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 11/02/2021] [Indexed: 05/12/2023]
Abstract
Numerous reverse transcription polymerase chain reaction (RT-PCR) tests have emerged over the past year as the gold standard for detecting millions of cases of SARS-CoV-2 reported daily worldwide. However, problems with critical shortages of key reagents such as PCR primers and RNA extraction kits and unpredictable test reliability related to high viral replication cycles have triggered the need for alternative methodologies to PCR to detect specific COVID-19 proteins. Several authors have developed methods based on liquid chromatography with tandem mass spectrometry (LC-MS/MS) to confirm the potential of the technique to detect two major proteins, the spike and the nucleoprotein, of COVID-19. In the present work, an S-Trap mini spin column digestion protocol was used for sample preparation prodromal to LC-MS/MS analysis in multiple reactions monitoring ion mode (MRM) to obtain a comprehensive method capable of detecting different viral proteins. The developed method was applied to n. 81 oro/nasopharyngeal swabs submitted in parallel to quantitative reverse transcription PCR (RT-qPCR) assays to detect RdRP, the S and N genes specific for COVID-19, and the E gene for all Sarbecoviruses, including SARS-CoV-2 (with cycle negativity threshold set to 40). A total of 23 peptides representative of the six specific viral proteins were detected in the monitoring of 128 transitions found to have good ionic currents extracted in clinical samples that reacted differently to the PCR assay. The best instrumental response came from the FLPFQFGR sequence of spike [558-566] peptide used to test the analytical performance of the method that has good sensitivity with a low false-negative rate. Transition monitoring using a targeted MS approach has the great potential to detect the fragmentation reactions of any peptide molecularly defined by a specific amino acid sequence, offering the extensibility of the approach to any viral sequence including derived variants and thus providing insights into the development of new types of clinical diagnostics.
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Affiliation(s)
- Gabriella Pinto
- Department
of Chemical Sciences, University of Naples
Federico II, Via Cinthia 26, 80126 Naples, Italy
- Istituto
Nazionale Biostrutture e Biosistemi-Consorzio Interuniversitario, Viale delle Medaglie d’Oro,
305, 00136 Rome, Italy
| | - Anna Illiano
- Department
of Chemical Sciences, University of Naples
Federico II, Via Cinthia 26, 80126 Naples, Italy
- CEINGE
Advanced Biotechnology, Via Gaetano Salvatore 486, 80145 Naples, Italy
- Istituto
Nazionale Biostrutture e Biosistemi-Consorzio Interuniversitario, Viale delle Medaglie d’Oro,
305, 00136 Rome, Italy
| | - Veronica Ferrucci
- CEINGE
Advanced Biotechnology, Via Gaetano Salvatore 486, 80145 Naples, Italy
- Department
of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Via Pansini 5, 80145 Naples, Italy
| | | | - Carolina Fontanarosa
- Department
of Chemical Sciences, University of Naples
Federico II, Via Cinthia 26, 80126 Naples, Italy
- Istituto
Nazionale Biostrutture e Biosistemi-Consorzio Interuniversitario, Viale delle Medaglie d’Oro,
305, 00136 Rome, Italy
| | - Roberto Siciliano
- CEINGE
Advanced Biotechnology, Via Gaetano Salvatore 486, 80145 Naples, Italy
| | - Carmela Di Domenico
- CEINGE
Advanced Biotechnology, Via Gaetano Salvatore 486, 80145 Naples, Italy
| | - Barbara Izzo
- CEINGE
Advanced Biotechnology, Via Gaetano Salvatore 486, 80145 Naples, Italy
- Department
of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Via Pansini 5, 80145 Naples, Italy
| | - Piero Pucci
- Department
of Chemical Sciences, University of Naples
Federico II, Via Cinthia 26, 80126 Naples, Italy
- CEINGE
Advanced Biotechnology, Via Gaetano Salvatore 486, 80145 Naples, Italy
| | - Gennaro Marino
- Department
of Chemical Sciences, University of Naples
Federico II, Via Cinthia 26, 80126 Naples, Italy
| | - Massimo Zollo
- CEINGE
Advanced Biotechnology, Via Gaetano Salvatore 486, 80145 Naples, Italy
- Department
of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Via Pansini 5, 80145 Naples, Italy
| | - Angela Amoresano
- Department
of Chemical Sciences, University of Naples
Federico II, Via Cinthia 26, 80126 Naples, Italy
- Istituto
Nazionale Biostrutture e Biosistemi-Consorzio Interuniversitario, Viale delle Medaglie d’Oro,
305, 00136 Rome, Italy
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5
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Chan L, Karimi N, Morovati S, Alizadeh K, Kakish JE, Vanderkamp S, Fazel F, Napoleoni C, Alizadeh K, Mehrani Y, Minott JA, Bridle BW, Karimi K. The Roles of Neutrophils in Cytokine Storms. Viruses 2021; 13:v13112318. [PMID: 34835125 PMCID: PMC8624379 DOI: 10.3390/v13112318] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 11/13/2021] [Accepted: 11/16/2021] [Indexed: 12/16/2022] Open
Abstract
A cytokine storm is an abnormal discharge of soluble mediators following an inappropriate inflammatory response that leads to immunopathological events. Cytokine storms can occur after severe infections as well as in non-infectious situations where inflammatory cytokine responses are initiated, then exaggerated, but fail to return to homeostasis. Neutrophils, macrophages, mast cells, and natural killer cells are among the innate leukocytes that contribute to the pathogenesis of cytokine storms. Neutrophils participate as mediators of inflammation and have roles in promoting homeostatic conditions following pathological inflammation. This review highlights the advances in understanding the mechanisms governing neutrophilic inflammation against viral and bacterial pathogens, in cancers, and in autoimmune diseases, and how neutrophils could influence the development of cytokine storm syndromes. Evidence for the destructive potential of neutrophils in their capacity to contribute to the onset of cytokine storm syndromes is presented across a multitude of clinical scenarios. Further, a variety of potential therapeutic strategies that target neutrophils are discussed in the context of suppressing multiple inflammatory conditions.
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Affiliation(s)
- Lily Chan
- Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada; (L.C.); (J.E.K.); (S.V.); (F.F.); (C.N.); (Y.M.); (J.A.M.)
| | - Negar Karimi
- Department of Clinical Sciences, School of Veterinary Medicine, Ferdowsi University of Mashhad, Mashhad 91779-4897, Iran;
| | - Solmaz Morovati
- Division of Biotechnology, Department of Pathobiology, School of Veterinary Medicine, Shiraz University, Shiraz 71557-13876, Iran;
| | - Kasra Alizadeh
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Illinois at Chicago, Chicago, IL 60612, USA;
| | - Julia E. Kakish
- Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada; (L.C.); (J.E.K.); (S.V.); (F.F.); (C.N.); (Y.M.); (J.A.M.)
| | - Sierra Vanderkamp
- Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada; (L.C.); (J.E.K.); (S.V.); (F.F.); (C.N.); (Y.M.); (J.A.M.)
| | - Fatemeh Fazel
- Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada; (L.C.); (J.E.K.); (S.V.); (F.F.); (C.N.); (Y.M.); (J.A.M.)
| | - Christina Napoleoni
- Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada; (L.C.); (J.E.K.); (S.V.); (F.F.); (C.N.); (Y.M.); (J.A.M.)
| | - Kimia Alizadeh
- Department of Diagnostic Medicine & Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506, USA;
| | - Yeganeh Mehrani
- Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada; (L.C.); (J.E.K.); (S.V.); (F.F.); (C.N.); (Y.M.); (J.A.M.)
- Department of Clinical Sciences, School of Veterinary Medicine, Ferdowsi University of Mashhad, Mashhad 91779-4897, Iran;
| | - Jessica A. Minott
- Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada; (L.C.); (J.E.K.); (S.V.); (F.F.); (C.N.); (Y.M.); (J.A.M.)
| | - Byram W. Bridle
- Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada; (L.C.); (J.E.K.); (S.V.); (F.F.); (C.N.); (Y.M.); (J.A.M.)
- Correspondence: (B.W.B.); (K.K.); Tel.: +1-519-824-4120 (ext. 54657) (B.W.B.); +1-519-824-4120 (ext. 54668) (K.K.)
| | - Khalil Karimi
- Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada; (L.C.); (J.E.K.); (S.V.); (F.F.); (C.N.); (Y.M.); (J.A.M.)
- Correspondence: (B.W.B.); (K.K.); Tel.: +1-519-824-4120 (ext. 54657) (B.W.B.); +1-519-824-4120 (ext. 54668) (K.K.)
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6
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Rando HM, MacLean AL, Lee AJ, Lordan R, Ray S, Bansal V, Skelly AN, Sell E, Dziak JJ, Shinholster L, D’Agostino McGowan L, Ben Guebila M, Wellhausen N, Knyazev S, Boca SM, Capone S, Qi Y, Park Y, Mai D, Sun Y, Boerckel JD, Brueffer C, Byrd JB, Kamil JP, Wang J, Velazquez R, Szeto GL, Barton JP, Goel RR, Mangul S, Lubiana T, Gitter A, Greene CS. Pathogenesis, Symptomatology, and Transmission of SARS-CoV-2 through Analysis of Viral Genomics and Structure. mSystems 2021; 6:e0009521. [PMID: 34698547 PMCID: PMC8547481 DOI: 10.1128/msystems.00095-21] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/27/2021] [Indexed: 02/06/2023] Open
Abstract
The novel coronavirus SARS-CoV-2, which emerged in late 2019, has since spread around the world and infected hundreds of millions of people with coronavirus disease 2019 (COVID-19). While this viral species was unknown prior to January 2020, its similarity to other coronaviruses that infect humans has allowed for rapid insight into the mechanisms that it uses to infect human hosts, as well as the ways in which the human immune system can respond. Here, we contextualize SARS-CoV-2 among other coronaviruses and identify what is known and what can be inferred about its behavior once inside a human host. Because the genomic content of coronaviruses, which specifies the virus's structure, is highly conserved, early genomic analysis provided a significant head start in predicting viral pathogenesis and in understanding potential differences among variants. The pathogenesis of the virus offers insights into symptomatology, transmission, and individual susceptibility. Additionally, prior research into interactions between the human immune system and coronaviruses has identified how these viruses can evade the immune system's protective mechanisms. We also explore systems-level research into the regulatory and proteomic effects of SARS-CoV-2 infection and the immune response. Understanding the structure and behavior of the virus serves to contextualize the many facets of the COVID-19 pandemic and can influence efforts to control the virus and treat the disease. IMPORTANCE COVID-19 involves a number of organ systems and can present with a wide range of symptoms. From how the virus infects cells to how it spreads between people, the available research suggests that these patterns are very similar to those seen in the closely related viruses SARS-CoV-1 and possibly Middle East respiratory syndrome-related CoV (MERS-CoV). Understanding the pathogenesis of the SARS-CoV-2 virus also contextualizes how the different biological systems affected by COVID-19 connect. Exploring the structure, phylogeny, and pathogenesis of the virus therefore helps to guide interpretation of the broader impacts of the virus on the human body and on human populations. For this reason, an in-depth exploration of viral mechanisms is critical to a robust understanding of SARS-CoV-2 and, potentially, future emergent human CoVs (HCoVs).
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Affiliation(s)
- Halie M. Rando
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, Colorado, USA
- Center for Health AI, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Adam L. MacLean
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, California, USA
| | - Alexandra J. Lee
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ronan Lordan
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Sandipan Ray
- Department of Biotechnology, Indian Institute of Technology Hyderabad, Sangareddy, Telangana, India
| | - Vikas Bansal
- Biomedical Data Science and Machine Learning Group, German Center for Neurodegenerative Diseases, Tübingen, Germany
| | - Ashwin N. Skelly
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Elizabeth Sell
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - John J. Dziak
- Edna Bennett Pierce Prevention Research Center, The Pennsylvania State University, University Park, Pennsylvania, USA
| | | | - Lucy D’Agostino McGowan
- Department of Mathematics and Statistics, Wake Forest University, Winston-Salem, North Carolina, USA
| | - Marouen Ben Guebila
- Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Nils Wellhausen
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | | | - Simina M. Boca
- Innovation Center for Biomedical Informatics, Georgetown University Medical Center, Washington, DC, USA
| | - Stephen Capone
- St. George’s University School of Medicine, St. George’s, Grenada
| | - Yanjun Qi
- Department of Computer Science, University of Virginia, Charlottesville, Virginia, USA
| | - YoSon Park
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - David Mai
- Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Yuchen Sun
- Department of Computer Science, University of Virginia, Charlottesville, Virginia, USA
| | - Joel D. Boerckel
- Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | | | - James Brian Byrd
- University of Michigan School of Medicine, Ann Arbor, Michigan, USA
| | - Jeremy P. Kamil
- Department of Microbiology and Immunology, Louisiana State University Health Sciences Center Shreveport, Shreveport, Louisiana, USA
| | - Jinhui Wang
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | | | | | - John P. Barton
- Department of Physics and Astronomy, University of California-Riverside, Riverside, California, USA
| | - Rishi Raj Goel
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Serghei Mangul
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, California, USA
| | - Tiago Lubiana
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil
| | - COVID-19 Review Consortium
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, Colorado, USA
- Center for Health AI, University of Colorado School of Medicine, Aurora, Colorado, USA
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, California, USA
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Biotechnology, Indian Institute of Technology Hyderabad, Sangareddy, Telangana, India
- Biomedical Data Science and Machine Learning Group, German Center for Neurodegenerative Diseases, Tübingen, Germany
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Edna Bennett Pierce Prevention Research Center, The Pennsylvania State University, University Park, Pennsylvania, USA
- Mercer University, Macon, Georgia, USA
- Department of Mathematics and Statistics, Wake Forest University, Winston-Salem, North Carolina, USA
- Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA
- Georgia State University, Atlanta, Georgia, USA
- Innovation Center for Biomedical Informatics, Georgetown University Medical Center, Washington, DC, USA
- St. George’s University School of Medicine, St. George’s, Grenada
- Department of Computer Science, University of Virginia, Charlottesville, Virginia, USA
- Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Clinical Sciences, Lund University, Lund, Sweden
- University of Michigan School of Medicine, Ann Arbor, Michigan, USA
- Department of Microbiology and Immunology, Louisiana State University Health Sciences Center Shreveport, Shreveport, Louisiana, USA
- Azimuth1, McLean, Virginia, USA
- Allen Institute for Immunology, Seattle, Washington, USA
- Department of Physics and Astronomy, University of California-Riverside, Riverside, California, USA
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, California, USA
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Morgridge Institute for Research, Madison, Wisconsin, USA
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Philadelphia, Pennsylvania, USA
| | - Anthony Gitter
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Morgridge Institute for Research, Madison, Wisconsin, USA
| | - Casey S. Greene
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, Colorado, USA
- Center for Health AI, University of Colorado School of Medicine, Aurora, Colorado, USA
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Philadelphia, Pennsylvania, USA
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7
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Johnson BA, Zhou Y, Lokugamage KG, Vu MN, Bopp N, Crocquet-Valdes PA, Schindewolf C, Liu Y, Scharton D, Plante JA, Xie X, Aguilar P, Weaver SC, Shi PY, Walker DH, Routh AL, Plante KS, Menachery VD. Nucleocapsid mutations in SARS-CoV-2 augment replication and pathogenesis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2021. [PMID: 34671771 PMCID: PMC8528077 DOI: 10.1101/2021.10.14.464390] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
While SARS-CoV-2 continues to adapt for human infection and transmission, genetic variation outside of the spike gene remains largely unexplored. This study investigates a highly variable region at residues 203–205 in the SARS-CoV-2 nucleocapsid protein. Recreating a mutation found in the alpha and omicron variants in an early pandemic (WA-1) background, we find that the R203K+G204R mutation is sufficient to enhance replication, fitness, and pathogenesis of SARS-CoV-2. The R203K+G204R mutant corresponds with increased viral RNA and protein both in vitro and in vivo. Importantly, the R203K+G204R mutation increases nucleocapsid phosphorylation and confers resistance to inhibition of the GSK-3 kinase, providing a molecular basis for increased virus replication. Notably, analogous alanine substitutions at positions 203+204 also increase SARS-CoV-2 replication and augment phosphorylation, suggesting that infection is enhanced through ablation of the ancestral ‘RG’ motif. Overall, these results demonstrate that variant mutations outside spike are key components in SARS-CoV-2’s continued adaptation to human infection.
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8
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May DG, Martin-Sancho L, Anschau V, Liu S, Chrisopulos RJ, Scott KL, Halfmann CT, Peña RD, Pratt D, Campos AR, Roux KJ. A BioID-derived proximity interactome for SARS-CoV-2 proteins. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2021. [PMID: 34580671 PMCID: PMC8475972 DOI: 10.1101/2021.09.17.460814] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
The novel coronavirus SARS-CoV-2 is responsible for the ongoing COVID-19 pandemic and has caused a major health and economic burden worldwide. Understanding how SARS-CoV-2 viral proteins behave in host cells can reveal underlying mechanisms of pathogenesis and assist in development of antiviral therapies. Here we use BioID to map the SARS-CoV-2 virus-host interactome using human lung cancer derived A549 cells expressing individual SARS-CoV-2 viral proteins. Functional enrichment analyses revealed previously reported and unreported cellular pathways that are in association with SARS-CoV-2 proteins. We have also established a website to host the proteomic data to allow for public access and continued analysis of host-viral protein associations and whole-cell proteomes of cells expressing the viral-BioID fusion proteins. Collectively, these studies provide a valuable resource to potentially uncover novel SARS-CoV-2 biology and inform development of antivirals.
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9
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Haneef K, Saleem R, Iqbal Khan MS, Adeyinka OS, Banday S, Asghar MU, Rahman ZU, Fatima Z. Severe acute respiratory syndrome coronavirus 2 targeted antibodies cocktail and B cell receptor interplay: interventions to trigger vaccine development. EXPLORATION OF IMMUNOLOGY 2021. [DOI: 10.37349/ei.2021.00011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 07/11/2021] [Indexed: 01/25/2024]
Abstract
Coronavirus disease-2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus (SARS-CoV)-2 spread globally and creates an alarming situation. Following the SARS-CoV-2 paradigm, therapeutic efficacy is achieved via repurposing several antiviral, antibacterial, and antimalarial drugs. Innate and adaptive immune cells work close to combat infection through the intricate production of antibodies (Abs) and inflammatory cytokines. As an essential component of the immune system, Abs play an important role in eliminating viruses and maintaining homeostasis. B lymphocytes (B cells) are effector cells, stringent to produce neutralizing Abs to combat infection. After recognizing SARS-CoV-2 antigens by a surface receptor called B cell receptors (BCRs) on the plasma membrane, the BCRs transmembrane signal transduction and immune activation results in Ab production and development of immune memory. Thus, it ensures that plasma B cells can quickly start an intricate immune response to generate efficient protective Abs to clear the pathogen. Nevertheless, considering therapeutic challenges in the context of the new coronavirus pandemic, this review addresses the molecular mechanism of the immune activation and function of novel SARS-CoV-2 specific B cells in the production of SARS-CoV-2 specific Abs. Additionally, these studies highlighted the Ab-mediated pathogenesis, the intriguing role of nano-scale signaling subunits, non-structural proteins during COVID-19 infection, and structural insights of SARS-CoV-2 specific Abs.
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Affiliation(s)
- Kabeer Haneef
- School of Life Science, Institute for Immunology, Tsinghua University, Beijing 100084, China
| | - Rabia Saleem
- Department of Pediatric Haematology, Oncology and BMT, The Children’s Hospital and Institute of Child Health, Lahore 53700, Pakistan
| | - Muhammad Saleem Iqbal Khan
- Department of Biochemistry, Cancer Institute of the second affiliated hospital, School of Medicine, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | | | - Sadeeq Banday
- School of Agriculture Sciences and Food Technology, Shandong University of Technology, Zibo 255000, Shandong, China
| | - Muhammad Umer Asghar
- 6National Institute for Biotechnology and Genetic engineering (NIBGE), Faisalabad 38000, Punjab Pakistan 7Pakistan Institute of Engineering and Applied Sciences (PIEAS), Nilore, Islamabad 45650, Pakistan
| | - Zia Ur Rahman
- Centre of Excellence in Molecular Biology, University of the Punjab, Lahore 53700, Pakistan
| | - Zainab Fatima
- Department of Psychology, University of Gujrat, Punjab 50991, Pakistan
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10
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Berber B, Aydin C, Kocabas F, Guney-Esken G, Yilancioglu K, Karadag-Alpaslan M, Caliseki M, Yuce M, Demir S, Tastan C. Gene editing and RNAi approaches for COVID-19 diagnostics and therapeutics. Gene Ther 2021; 28:290-305. [PMID: 33318646 PMCID: PMC7734466 DOI: 10.1038/s41434-020-00209-7] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2020] [Revised: 10/20/2020] [Accepted: 10/27/2020] [Indexed: 01/29/2023]
Abstract
The novel coronavirus pneumonia (COVID-19) is a highly infectious acute respiratory disease caused by Severe Acute Respiratory Syndrome-Related Coronavirus (SARS-CoV-2) (Prec Clin Med 2020;3:9-13, Lancet 2020;395:497-506, N. Engl J Med 2020a;382:1199-207, Nature 2020;579:270-3). SARS-CoV-2 surveillance is essential to controlling widespread transmission. However, there are several challenges associated with the diagnostic of the COVID-19 during the current outbreak (Liu and Li (2019), Nature 2020;579:265-9, N. Engl J Med 2020;382:727-33). Firstly, the high number of cases overwhelms diagnostic test capacity and proposes the need for a rapid solution for sample processing (Science 2018;360:444-8). Secondly, SARS-CoV-2 is closely related to other important coronavirus species and subspecies, so detection assays can give false-positive results if they are not efficiently specific to SARS-CoV-2. Thirdly, patients with suspected SARS-CoV-2 infection sometimes have a different respiratory viral infection or co-infections with SARS-CoV-2 and other respiratory viruses (MedRxiv 2020a;1-18). Confirmation of the COVID-19 is performed mainly by virus isolation followed by RT-PCR and sequencing (N. Engl J Med 2020;382:727-33, MedRxiv 2020a, Turkish J Biol 2020;44:192-202). The emergence and outbreak of the novel coronavirus highlighted the urgent need for new therapeutic technologies that are fast, precise, stable, easy to manufacture, and target-specific for surveillance and treatment. Molecular biology tools that include gene-editing approaches such as CRISPR-Cas12/13-based SHERLOCK, DETECTR, CARVER and PAC-MAN, antisense oligonucleotides, antisense peptide nucleic acids, ribozymes, aptamers, and RNAi silencing approaches produced with cutting-edge scientific advances compared to conventional diagnostic or treatment methods could be vital in COVID-19 and other future outbreaks. Thus, in this review, we will discuss potent the molecular biology approaches that can revolutionize diagnostic of viral infections and therapies to fight COVID-19 in a highly specific, stable, and efficient way.
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Affiliation(s)
- Burak Berber
- Department of Biology, Faculty of Science, Eskisehir Technical University, Eskisehir, Turkey
| | - Cihan Aydin
- Department of Molecular Biology and Genetics, Faculty of Engineering and Natural Sciences, Istanbul Medeniyet University, Istanbul, Turkey
| | - Fatih Kocabas
- Department of Genetics and Bioengineering, Faculty of Engineering, Yeditepe University, Istanbul, Turkey
| | - Gulen Guney-Esken
- Department of Genetics and Bioengineering, Faculty of Engineering, Yeditepe University, Istanbul, Turkey
| | - Kaan Yilancioglu
- Institute of Addiction and Forensic Sciences, Uskudar University, Istanbul, Turkey
- Transgenic Cell Technologies and Epigenetics Application and Research Center (TRGENMER), Uskudar University, Istanbul, Turkey
| | - Medine Karadag-Alpaslan
- Department of Medical Genetics, Faculty of Medicine, Ondokuz Mayis University, Samsun, Turkey
| | - Mehmet Caliseki
- Department of Molecular Biology, Genetics and Bioengineering, Graduate School of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey
| | - Melek Yuce
- Center for Stem Cell Research, Ondokuz Mayis University, Samsun, Turkey
| | - Sevda Demir
- Department of Genetics and Bioengineering, Faculty of Engineering, Yeditepe University, Istanbul, Turkey
| | - Cihan Tastan
- Transgenic Cell Technologies and Epigenetics Application and Research Center (TRGENMER), Uskudar University, Istanbul, Turkey.
- Acibadem Labcell Cellular Therapy Laboratory, Istanbul, Turkey.
- Faculty of Science and Letters, Department of Molecular Biology and Genetics, Istanbul Kultur University, Istanbul, Turkey.
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11
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Ji W. Coronaviruses: What Should We Know About the Characteristics of Viruses? ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1318:23-39. [PMID: 33973170 DOI: 10.1007/978-3-030-63761-3_2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
The ongoing coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is highly contagious and fatal, posing a direct threat to human health and the global economy. Most strategies to prevent, control, and eradicate COVID-19 are established based on the specific characteristics of the pathogen. The quest for interruption and eradication of COVID-19 has moved research forward in understanding fundamental aspects of the virus genome, proteome, replication mechanisms, and virus-host interactions, which pave the way for the development of effective antiviral drugs and vaccines. This chapter provides an overview of recent progress in human coronavirus taxonomy, molecular features of the SARS-CoV-2 genome and proteome, and virus life cycle.
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Affiliation(s)
- Wei Ji
- Medical school, Liaocheng University, Liaocheng, China. .,Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Liaocheng, China.
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12
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Jarai BM, Stillman Z, Bomb K, Kloxin AM, Fromen CA. Biomaterials-Based Opportunities to Engineer the Pulmonary Host Immune Response in COVID-19. ACS Biomater Sci Eng 2021; 7:1742-1764. [PMID: 33356134 PMCID: PMC7784663 DOI: 10.1021/acsbiomaterials.0c01287] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 11/25/2020] [Indexed: 02/08/2023]
Abstract
The COVID-19 pandemic caused by the global spread of the SARS-CoV-2 virus has led to a staggering number of deaths worldwide and significantly increased burden on healthcare as nations scramble to find mitigation strategies. While significant progress has been made in COVID-19 diagnostics and therapeutics, effective prevention and treatment options remain scarce. Because of the potential for the SARS-CoV-2 infections to cause systemic inflammation and multiple organ failure, it is imperative for the scientific community to evaluate therapeutic options aimed at modulating the causative host immune responses to prevent subsequent systemic complications. Harnessing decades of expertise in the use of natural and synthetic materials for biomedical applications, the biomaterials community has the potential to play an especially instrumental role in developing new strategies or repurposing existing tools to prevent or treat complications resulting from the COVID-19 pathology. Leveraging microparticle- and nanoparticle-based technology, especially in pulmonary delivery, biomaterials have demonstrated the ability to effectively modulate inflammation and may be well-suited for resolving SARS-CoV-2-induced effects. Here, we provide an overview of the SARS-CoV-2 virus infection and highlight current understanding of the host's pulmonary immune response and its contributions to disease severity and systemic inflammation. Comparing to frontline COVID-19 therapeutic options, we highlight the most significant untapped opportunities in immune engineering of the host response using biomaterials and particle technology, which have the potential to improve outcomes for COVID-19 patients, and identify areas needed for future investigations. We hope that this work will prompt preclinical and clinical investigations of promising biomaterials-based treatments to introduce new options for COVID-19 patients.
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Affiliation(s)
- Bader M. Jarai
- Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE 19716
| | - Zachary Stillman
- Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE 19716
| | - Kartik Bomb
- Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE 19716
| | - April M. Kloxin
- Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE 19716
- Department of Materials Science and Engineering, University of Delaware, Newark, DE 19716
| | - Catherine A. Fromen
- Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE 19716
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13
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Yadav R, Acharjee A, Salkar A, Bankar R, Palanivel V, Agrawal S, Shastri J, Sabnis SV, Srivastava S. Mumbai mayhem of COVID-19 pandemic reveals important factors that influence susceptibility to infection. EClinicalMedicine 2021; 35:100841. [PMID: 33937730 PMCID: PMC8068776 DOI: 10.1016/j.eclinm.2021.100841] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 03/25/2021] [Accepted: 03/26/2021] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND COVID-19 severity is disproportionately high in the elderly and people with comorbidities. However, other factors that predispose individuals to increased chances of infection are unclear. METHODS Data from 18,600 people screened for COVID-19 in Mumbai during the outbreak's initial phase, March 7 to June 30, 2020, were used to assess risk factors associated with COVID-19 using the odds ratio analysis. FINDINGS Males aged ≥60 years having both diabetes and hypertension were at the highest risk of COVID-19 infection (M vs. F OR=2.5, 95% CI=1.34-4.67, p = 0.0049). People having both diabetes and hypertension in ≥20 years (OR=4.11, 95% CI=3.26-5.20, p <0.0001), diabetes and hypertension independently in 20-39 (OR=4.13, 95% CI=2.22-7.70, p <0.0001, OR=4.32, 95% CI=2.10-8.88, p = 0.0001) and ≥60 years (OR=2.69, 95% CI=1.87-3.87, p <0.0001, OR=2.03, 95% CI=1.46-2.82, p <0.0001), chronic renal disease in 20-39 years (OR=5.38, 95% CI=1.91-15.09, p = 0.0007) age groups had significantly higher risk of COVID-19 infection than those without comorbidity. Quarantined people had significantly lower positive odds (OR=0.59, 95% CI=0.53-0.66, p <0.001) than non-quarantined people. INTERPRETATION Our research indicates that the risk of getting COVID-19 disease is not equal. When considering sex, age, and comorbidity together, we found that males aged ≥60 years and having both diabetes and hypertension had a significantly high risk of COVID-19 infection. Therefore, remedial measures such as vaccination programs should be prioritized for at-risk individuals. FUNDING SERB, India: SB/S1/COVID-2/2020 and Seed grant RD/0520-IRCCHC0-006 from IRCC, IIT Bombay.
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Affiliation(s)
- Radha Yadav
- Department of Mathematics, Indian Institute of Technology Bombay, Mumbai 400076, India
| | - Arup Acharjee
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai 400076, India
| | - Akanksha Salkar
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai 400076, India
| | - Renuka Bankar
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai 400076, India
| | - Viswanthram Palanivel
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai 400076, India
| | - Sachee Agrawal
- Kasturba Hospital for Infectious Diseases, Chinchpokli, Mumbai, Maharashtra 400034, India
| | - Jayanthi Shastri
- Kasturba Hospital for Infectious Diseases, Chinchpokli, Mumbai, Maharashtra 400034, India
| | - Sanjeev V. Sabnis
- Department of Mathematics, Indian Institute of Technology Bombay, Mumbai 400076, India
| | - Sanjeeva Srivastava
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai 400076, India
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14
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Rando HM, MacLean AL, Lee AJ, Lordan R, Ray S, Bansal V, Skelly AN, Sell E, Dziak JJ, Shinholster L, McGowan LD, Guebila MB, Wellhausen N, Knyazev S, Boca SM, Capone S, Qi Y, Park Y, Sun Y, Mai D, Boerckel JD, Brueffer C, Byrd JB, Kamil JP, Wang J, Velazquez R, Szeto GL, Barton JP, Goel RR, Mangul S, Lubiana T, Gitter A, Greene CS. Pathogenesis, Symptomatology, and Transmission of SARS-CoV-2 through Analysis of Viral Genomics and Structure. ARXIV 2021:arXiv:2102.01521v4. [PMID: 33594340 PMCID: PMC7885912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Revised: 12/03/2021] [Indexed: 12/02/2022]
Abstract
The novel coronavirus SARS-CoV-2, which emerged in late 2019, has since spread around the world and infected hundreds of millions of people with coronavirus disease 2019 (COVID-19). While this viral species was unknown prior to January 2020, its similarity to other coronaviruses that infect humans has allowed for rapid insight into the mechanisms that it uses to infect human hosts, as well as the ways in which the human immune system can respond. Here, we contextualize SARS-CoV-2 among other coronaviruses and identify what is known and what can be inferred about its behavior once inside a human host. Because the genomic content of coronaviruses, which specifies the virus's structure, is highly conserved, early genomic analysis provided a significant head start in predicting viral pathogenesis and in understanding potential differences among variants. The pathogenesis of the virus offers insights into symptomatology, transmission, and individual susceptibility. Additionally, prior research into interactions between the human immune system and coronaviruses has identified how these viruses can evade the immune system's protective mechanisms. We also explore systems-level research into the regulatory and proteomic effects of SARS-CoV-2 infection and the immune response. Understanding the structure and behavior of the virus serves to contextualize the many facets of the COVID-19 pandemic and can influence efforts to control the virus and treat the disease.
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Affiliation(s)
- Halie M Rando
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America; Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, Colorado, United States of America; Center for Health AI, University of Colorado School of Medicine, Aurora, Colorado, United States of America · Funded by the Gordon and Betty Moore Foundation (GBMF 4552); the National Human Genome Research Institute (R01 HG010067)
| | - Adam L MacLean
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, California, United States of America
| | - Alexandra J Lee
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America · Funded by the Gordon and Betty Moore Foundation (GBMF 4552)
| | - Ronan Lordan
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-5158, USA
| | - Sandipan Ray
- Department of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Sangareddy 502285, Telangana, India
| | - Vikas Bansal
- Biomedical Data Science and Machine Learning Group, German Center for Neurodegenerative Diseases, Tübingen 72076, Germany
| | - Ashwin N Skelly
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America; Institute for Immunology, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States of America · Funded by NIH Medical Scientist Training Program T32 GM07170
| | - Elizabeth Sell
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - John J Dziak
- Edna Bennett Pierce Prevention Research Center, The Pennsylvania State University, University Park, PA, United States of America
| | - Lamonica Shinholster
- Mercer University, Macon, GA, United States of America · Funded by the Center for Global Genomics and Health Equity at the University of Pennsylvania
| | - Lucy D'Agostino McGowan
- Department of Mathematics and Statistics, Wake Forest University, Winston-Salem, North Carolina, United States of America
| | - Marouen Ben Guebila
- Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, United States of America
| | - Nils Wellhausen
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Sergey Knyazev
- Georgia State University, Atlanta, GA, United States of America
| | - Simina M Boca
- Innovation Center for Biomedical Informatics, Georgetown University Medical Center, Washington, District of Columbia, United States of America
| | - Stephen Capone
- St. George's University School of Medicine, St. George's, Grenada
| | - Yanjun Qi
- Department of Computer Science, University of Virginia, Charlottesville, VA, United States of America
| | - YoSon Park
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America · Funded by NHGRI R01 HG10067
| | - Yuchen Sun
- Department of Computer Science, University of Virginia, Charlottesville, VA, United States of America
| | - David Mai
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Joel D Boerckel
- Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America; Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States of America
| | | | - James Brian Byrd
- University of Michigan School of Medicine, Ann Arbor, Michigan, United States of America · Funded by NIH K23HL128909; FastGrants
| | - Jeremy P Kamil
- Department of Microbiology and Immunology, Louisiana State University Health Sciences Center Shreveport, Shreveport, Louisiana, USA
| | - Jinhui Wang
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | | | - Gregory L Szeto
- Allen Institute for Immunology, Seattle, WA, United States of America
| | - John P Barton
- Department of Physics and Astronomy, University of California-Riverside, Riverside, California, United States of America
| | - Rishi Raj Goel
- Institute for Immunology, University of Pennsylvania, Philadelphia, PA, United States of America
| | - Serghei Mangul
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, United States of America
| | - Tiago Lubiana
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil
| | - Anthony Gitter
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America; Morgridge Institute for Research, Madison, Wisconsin, United States of America · Funded by John W. and Jeanne M. Rowe Center for Research in Virology
| | - Casey S Greene
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America; Childhood Cancer Data Lab, Alex's Lemonade Stand Foundation, Philadelphia, Pennsylvania, United States of America; Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, Colorado, United States of America; Center for Health AI, University of Colorado School of Medicine, Aurora, Colorado, United States of America · Funded by the Gordon and Betty Moore Foundation (GBMF 4552); the National Human Genome Research Institute (R01 HG010067)
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15
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Lu S, Ye Q, Singh D, Cao Y, Diedrich JK, Yates JR, Villa E, Cleveland DW, Corbett KD. The SARS-CoV-2 nucleocapsid phosphoprotein forms mutually exclusive condensates with RNA and the membrane-associated M protein. Nat Commun 2021; 12:502. [PMID: 33479198 PMCID: PMC7820290 DOI: 10.1038/s41467-020-20768-y] [Citation(s) in RCA: 229] [Impact Index Per Article: 76.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Accepted: 12/17/2020] [Indexed: 02/07/2023] Open
Abstract
The multifunctional nucleocapsid (N) protein in SARS-CoV-2 binds the ~30 kb viral RNA genome to aid its packaging into the 80-90 nm membrane-enveloped virion. The N protein is composed of N-terminal RNA-binding and C-terminal dimerization domains that are flanked by three intrinsically disordered regions. Here we demonstrate that the N protein's central disordered domain drives phase separation with RNA, and that phosphorylation of an adjacent serine/arginine rich region modulates the physical properties of the resulting condensates. In cells, N forms condensates that recruit the stress granule protein G3BP1, highlighting a potential role for N in G3BP1 sequestration and stress granule inhibition. The SARS-CoV-2 membrane (M) protein independently induces N protein phase separation, and three-component mixtures of N + M + RNA form condensates with mutually exclusive compartments containing N + M or N + RNA, including annular structures in which the M protein coats the outside of an N + RNA condensate. These findings support a model in which phase separation of the SARS-CoV-2 N protein contributes both to suppression of the G3BP1-dependent host immune response and to packaging genomic RNA during virion assembly.
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Affiliation(s)
- Shan Lu
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, 92093, USA
- Ludwig Institute for Cancer Research, San Diego Branch, La Jolla, CA, 92093, USA
| | - Qiaozhen Ye
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Digvijay Singh
- Section of Molecular Biology, Division of Biological Sciences, University of California San Diego, La Jolla, CA, 92093, USA
| | - Yong Cao
- National Institute of Biological Sciences, 102206, Beijing, China
| | | | - John R Yates
- The Scripps Research Institute, La Jolla, CA, 92037, USA
| | - Elizabeth Villa
- Section of Molecular Biology, Division of Biological Sciences, University of California San Diego, La Jolla, CA, 92093, USA
| | - Don W Cleveland
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, 92093, USA.
- Ludwig Institute for Cancer Research, San Diego Branch, La Jolla, CA, 92093, USA.
| | - Kevin D Corbett
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, 92093, USA.
- Department of Chemistry & Biochemistry, University of California San Diego, La Jolla, CA, 92093, USA.
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16
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De Toma I, Dierssen M. Network analysis of Down syndrome and SARS-CoV-2 identifies risk and protective factors for COVID-19. Sci Rep 2021; 11:1930. [PMID: 33479353 PMCID: PMC7820501 DOI: 10.1038/s41598-021-81451-w] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 01/06/2021] [Indexed: 12/12/2022] Open
Abstract
SARS-CoV-2 infection has spread uncontrollably worldwide while it remains unknown how vulnerable populations, such as Down syndrome (DS) individuals are affected by the COVID-19 pandemic. Individuals with DS have more risk of infections with respiratory complications and present signs of auto-inflammation. They also present with multiple comorbidities that are associated with poorer COVID-19 prognosis in the general population. All this might place DS individuals at higher risk of SARS-CoV-2 infection or poorer clinical outcomes. In order to get insight into the interplay between DS genes and SARS-cov2 infection and pathogenesis we identified the genes associated with the molecular pathways involved in COVID-19 and the host proteins interacting with viral proteins from SARS-CoV-2. We then analyzed the overlaps of these genes with HSA21 genes, HSA21 interactors and other genes consistently differentially expressed in DS (using public transcriptomic datasets) and created a DS-SARS-CoV-2 network. We detected COVID-19 protective and risk factors among HSA21 genes and interactors and/or DS deregulated genes that might affect the susceptibility of individuals with DS both at the infection stage and in the progression to acute respiratory distress syndrome. Our analysis suggests that at the infection stage DS individuals might be more susceptible to infection due to triplication of TMPRSS2, that primes the viral S protein for entry in the host cells. However, as the anti-viral interferon I signaling is also upregulated in DS, this might increase the initial anti-viral response, inhibiting viral genome release, viral replication and viral assembly. In the second pro-inflammatory immunopathogenic phase of the infection, the prognosis for DS patients might worsen due to upregulation of inflammatory genes that might favor the typical cytokine storm of COVID-19. We also detected strong downregulation of the NLRP3 gene, critical for maintenance of homeostasis against pathogenic infections, possibly leading to bacterial infection complications.
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Affiliation(s)
- Ilario De Toma
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.
| | - Mara Dierssen
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.
- Universitat Pompeu Fabra (UPF), Barcelona, Spain.
- Biomedical Research Networking Center On Rare Diseases (CIBERER), Institute of Health Carlos III, Madrid, Spain.
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17
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Rastogi M, Pandey N, Shukla A, Singh SK. SARS coronavirus 2: from genome to infectome. Respir Res 2020; 21:318. [PMID: 33261606 PMCID: PMC7706175 DOI: 10.1186/s12931-020-01581-z] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Accepted: 11/22/2020] [Indexed: 02/06/2023] Open
Abstract
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) belongs to the group of Betacoronaviruses. The SARS-CoV-2 is closely related to SARS-CoV-1 and probably originated either from bats or pangolins. SARS-CoV-2 is an etiological agent of COVID-19, causing mild to severe respiratory disease which escalates to acute respiratory distress syndrome (ARDS) or multi-organ failure. The virus was first reported from the animal market in Hunan, Hubei province of China in the month of December, 2019, and was rapidly transmitted from animal to human and human-to-human. The human-to-human transmission can occur directly or via droplets generated during coughing and sneezing. Globally, around 53.9 million cases of COVID-19 have been registered with 1.31 million confirmed deaths. The people > 60 years, persons suffering from comorbid conditions and immunocompromised individuals are more susceptible to COVID-19 infection. The virus primarily targets the upper and the lower respiratory tract and quickly disseminates to other organs. SARS-CoV-2 dysregulates immune signaling pathways which generate cytokine storm and leads to the acute respiratory distress syndrome and other multisystemic disorders.
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Affiliation(s)
- Meghana Rastogi
- Molecular Biology Unit, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, India
| | - Neha Pandey
- Molecular Biology Unit, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, India
| | - Astha Shukla
- Molecular Biology Unit, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, India
| | - Sunit K Singh
- Molecular Biology Unit, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, India.
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18
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Sirpilla O, Bauss J, Gupta R, Underwood A, Qutob D, Freeland T, Bupp C, Carcillo J, Hartog N, Rajasekaran S, Prokop JW. SARS-CoV-2-Encoded Proteome and Human Genetics: From Interaction-Based to Ribosomal Biology Impact on Disease and Risk Processes. J Proteome Res 2020; 19:4275-4290. [PMID: 32686937 PMCID: PMC7418564 DOI: 10.1021/acs.jproteome.0c00421] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Indexed: 12/12/2022]
Abstract
SARS-CoV-2 (COVID-19) has infected millions of people worldwide, with lethality in hundreds of thousands. The rapid publication of information, both regarding the clinical course and the viral biology, has yielded incredible knowledge of the virus. In this review, we address the insights gained for the SARS-CoV-2 proteome, which we have integrated into the Viral Integrated Structural Evolution Dynamic Database, a publicly available resource. Integrating evolutionary, structural, and interaction data with human proteins, we present how the SARS-CoV-2 proteome interacts with human disorders and risk factors ranging from cytokine storm, hyperferritinemic septic, coagulopathic, cardiac, immune, and rare disease-based genetics. The most noteworthy human genetic potential of SARS-CoV-2 is that of the nucleocapsid protein, where it is known to contribute to the inhibition of the biological process known as nonsense-mediated decay. This inhibition has the potential to not only regulate about 10% of all biological transcripts through altered ribosomal biology but also associate with viral-induced genetics, where suppressed human variants are activated to drive dominant, negative outcomes within cells. As we understand more of the dynamic and complex biological pathways that the proteome of SARS-CoV-2 utilizes for entry into cells, for replication, and for release from human cells, we can understand more risk factors for severe/lethal outcomes in patients and novel pharmaceutical interventions that may mitigate future pandemics.
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Affiliation(s)
- Olivia Sirpilla
- Department of Pediatrics and Human
Development, College of Human Medicine, Michigan State
University, Grand Rapids, Michigan 49503,
United States
- Department of Pharmacology and
Toxicology, Michigan State University, East
Lansing, Michigan 48824, United States
- Walsh
University, North Canton, Ohio 44720,
United States
| | - Jacob Bauss
- Department of Pediatrics and Human
Development, College of Human Medicine, Michigan State
University, Grand Rapids, Michigan 49503,
United States
| | - Ruchir Gupta
- Department of Pediatrics and Human
Development, College of Human Medicine, Michigan State
University, Grand Rapids, Michigan 49503,
United States
- Department of Pharmacology and
Toxicology, Michigan State University, East
Lansing, Michigan 48824, United States
| | - Adam Underwood
- Walsh
University, North Canton, Ohio 44720,
United States
| | - Dinah Qutob
- Walsh
University, North Canton, Ohio 44720,
United States
| | - Tom Freeland
- Walsh
University, North Canton, Ohio 44720,
United States
| | - Caleb Bupp
- Department of Pediatrics and Human
Development, College of Human Medicine, Michigan State
University, Grand Rapids, Michigan 49503,
United States
- Spectrum Health Medical
Genetics, Grand Rapids, Michigan 49503,
United States
| | - Joseph Carcillo
- Department of Critical Care Medicine
and Pediatrics, Children’s Hospital of Pittsburgh,
University of Pittsburgh School of
Medicine, Pittsburgh, Pennsylvania 15421,
United States
| | - Nicholas Hartog
- Allergy & Immunology,
Spectrum Health, Grand Rapids, Michigan 49503,
United States
| | - Surender Rajasekaran
- Department of Pediatrics and Human
Development, College of Human Medicine, Michigan State
University, Grand Rapids, Michigan 49503,
United States
- Pediatric Intensive Care
Unit, Helen DeVos Children’s Hospital,
Grand Rapids, Michigan 49503, United States
- Office of Research,
Spectrum Health, Grand Rapids, Michigan 49503,
United States
| | - Jeremy W. Prokop
- Department of Pediatrics and Human
Development, College of Human Medicine, Michigan State
University, Grand Rapids, Michigan 49503,
United States
- Department of Pharmacology and
Toxicology, Michigan State University, East
Lansing, Michigan 48824, United States
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19
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Isho B, Abe KT, Zuo M, Jamal AJ, Rathod B, Wang JH, Li Z, Chao G, Rojas OL, Bang YM, Pu A, Christie-Holmes N, Gervais C, Ceccarelli D, Samavarchi-Tehrani P, Guvenc F, Budylowski P, Li A, Paterson A, Yue FY, Marin LM, Caldwell L, Wrana JL, Colwill K, Sicheri F, Mubareka S, Gray-Owen SD, Drews SJ, Siqueira WL, Barrios-Rodiles M, Ostrowski M, Rini JM, Durocher Y, McGeer AJ, Gommerman JL, Gingras AC. Persistence of serum and saliva antibody responses to SARS-CoV-2 spike antigens in COVID-19 patients. Sci Immunol 2020; 5:5/52/eabe5511. [PMID: 33033173 PMCID: PMC8050884 DOI: 10.1126/sciimmunol.abe5511] [Citation(s) in RCA: 536] [Impact Index Per Article: 134.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 10/05/2020] [Indexed: 12/13/2022]
Abstract
While the antibody response to SARS-CoV-2 has been extensively studied in blood, relatively little is known about the antibody response in saliva and its relationship to systemic antibody levels. Here, we profiled by enzyme-linked immunosorbent assays (ELISAs) IgG, IgA and IgM responses to the SARS-CoV-2 spike protein (full length trimer) and its receptor-binding domain (RBD) in serum and saliva of acute and convalescent patients with laboratory-diagnosed COVID-19 ranging from 3-115 days post-symptom onset (PSO), compared to negative controls. Anti-SARS-CoV-2 antibody responses were readily detected in serum and saliva, with peak IgG levels attained by 16-30 days PSO. Longitudinal analysis revealed that anti-SARS-CoV-2 IgA and IgM antibodies rapidly decayed, while IgG antibodies remained relatively stable up to 105 days PSO in both biofluids. Lastly, IgG, IgM and to a lesser extent IgA responses to spike and RBD in the serum positively correlated with matched saliva samples. This study confirms that serum and saliva IgG antibodies to SARS-CoV-2 are maintained in the majority of COVID-19 patients for at least 3 months PSO. IgG responses in saliva may serve as a surrogate measure of systemic immunity to SARS-CoV-2 based on their correlation with serum IgG responses.
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Affiliation(s)
- Baweleta Isho
- Department of Immunology, University of Toronto, Toronto, ON, Canada
| | - Kento T Abe
- Lunenfeld-Tanenbaum Research Institute at Mount Sinai Hospital, Sinai Health System, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Michelle Zuo
- Department of Immunology, University of Toronto, Toronto, ON, Canada
| | - Alainna J Jamal
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
- Department of Microbiology, at Mount Sinai Hospital, Sinai Health System, Toronto, ON, Canada
| | - Bhavisha Rathod
- Lunenfeld-Tanenbaum Research Institute at Mount Sinai Hospital, Sinai Health System, Toronto, ON, Canada
| | - Jenny H Wang
- Lunenfeld-Tanenbaum Research Institute at Mount Sinai Hospital, Sinai Health System, Toronto, ON, Canada
| | - Zhijie Li
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Gary Chao
- Department of Immunology, University of Toronto, Toronto, ON, Canada
| | - Olga L Rojas
- Department of Immunology, University of Toronto, Toronto, ON, Canada
| | - Yeo Myong Bang
- Department of Immunology, University of Toronto, Toronto, ON, Canada
| | - Annie Pu
- Department of Immunology, University of Toronto, Toronto, ON, Canada
| | | | - Christian Gervais
- Mammalian Cell Expression, Human Health Therapeutics Research Centre, National Research Council Canada, Montréal, QC, Canada
| | - Derek Ceccarelli
- Lunenfeld-Tanenbaum Research Institute at Mount Sinai Hospital, Sinai Health System, Toronto, ON, Canada
| | - Payman Samavarchi-Tehrani
- Lunenfeld-Tanenbaum Research Institute at Mount Sinai Hospital, Sinai Health System, Toronto, ON, Canada
| | - Furkan Guvenc
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Patrick Budylowski
- Combined Containment Level 3 Unit, University of Toronto, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Angel Li
- Department of Microbiology, at Mount Sinai Hospital, Sinai Health System, Toronto, ON, Canada
| | - Aimee Paterson
- Department of Microbiology, at Mount Sinai Hospital, Sinai Health System, Toronto, ON, Canada
| | - Feng Yun Yue
- Department of Immunology, University of Toronto, Toronto, ON, Canada
| | - Lina M Marin
- College of Dentistry, University of Saskatchewan, Saskatoon, SK, Canada
| | - Lauren Caldwell
- Lunenfeld-Tanenbaum Research Institute at Mount Sinai Hospital, Sinai Health System, Toronto, ON, Canada
| | - Jeffrey L Wrana
- Lunenfeld-Tanenbaum Research Institute at Mount Sinai Hospital, Sinai Health System, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Karen Colwill
- Lunenfeld-Tanenbaum Research Institute at Mount Sinai Hospital, Sinai Health System, Toronto, ON, Canada
| | - Frank Sicheri
- Lunenfeld-Tanenbaum Research Institute at Mount Sinai Hospital, Sinai Health System, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Samira Mubareka
- Department of Laboratory Medicine and Molecular Diagnostics, Division of Microbiology, Sunnybrook Health Sciences Centre; Biological Sciences, Sunnybrook Research Institute; and Division of Infectious Diseases, Sunnybrook Health Sciences Centre, Toronto, ON, Canada; Department of Laboratory Medicine and Pathology, University of Toronto, Toronto, ON, Canada
| | - Scott D Gray-Owen
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
- Combined Containment Level 3 Unit, University of Toronto, Toronto, ON, Canada
| | - Steven J Drews
- Canadian Blood Services, Edmonton, AB & Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, Canada
| | - Walter L Siqueira
- College of Dentistry, University of Saskatchewan, Saskatoon, SK, Canada
| | - Miriam Barrios-Rodiles
- Lunenfeld-Tanenbaum Research Institute at Mount Sinai Hospital, Sinai Health System, Toronto, ON, Canada
| | - Mario Ostrowski
- Department of Immunology, University of Toronto, Toronto, ON, Canada
- St. Michael's Hospital, Toronto, ON, Canada; Li Ka Shing Knowledge Institute
- Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - James M Rini
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
- Department of Biochemistry, University of Toronto, Toronto, ON, Canada
| | - Yves Durocher
- Mammalian Cell Expression, Human Health Therapeutics Research Centre, National Research Council Canada, Montréal, QC, Canada
| | - Allison J McGeer
- Lunenfeld-Tanenbaum Research Institute at Mount Sinai Hospital, Sinai Health System, Toronto, ON, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
- Department of Microbiology, at Mount Sinai Hospital, Sinai Health System, Toronto, ON, Canada
| | | | - Anne-Claude Gingras
- Lunenfeld-Tanenbaum Research Institute at Mount Sinai Hospital, Sinai Health System, Toronto, ON, Canada.
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
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20
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Mahmud I, Garrett TJ. Mass Spectrometry Techniques in Emerging Pathogens Studies: COVID-19 Perspectives. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2020; 31:2013-2024. [PMID: 32880453 PMCID: PMC7496948 DOI: 10.1021/jasms.0c00238] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 09/02/2020] [Accepted: 09/03/2020] [Indexed: 05/04/2023]
Abstract
As corona virus disease 2019 (COVID-19) is a rapidly growing public health crisis across the world, our knowledge of meaningful diagnostic tests and treatment for severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) is still evolving. This novel coronavirus disease COVID-19 can be diagnosed using RT-PCR, but inadequate access to reagents, equipment, and a nonspecific target has slowed disease detection and management. Precision medicine, individualized patient care, requires suitable diagnostics approaches to tackle the challenging aspects of viral outbreaks where many tests are needed in a rapid and deployable approach. Mass spectrometry (MS)-based technologies such as proteomics, glycomics, lipidomics, and metabolomics have been applied in disease outbreaks for identification of infectious disease agents such as virus and bacteria and the molecular phenomena associated with pathogenesis. Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF/MS) is widely used in clinical diagnostics in the United States and Europe for bacterial pathogen identification. Paper spray ionization mass spectrometry (PSI-MS), a rapid ambient MS technique, has recently open a new opportunity for future clinical investigation to diagnose pathogens. Ultra-high-pressure liquid chromatography coupled high-resolution mass spectrometry (UHPLC-HRMS)-based metabolomics and lipidomics have been employed in large-scale biomedical research to discriminate infectious pathogens and uncover biomarkers associated with pathogenesis. PCR-MS has emerged as a new technology with the capability to directly identify known pathogens from the clinical specimens and the potential to identify genetic evidence of undiscovered pathogens. Moreover, miniaturized MS offers possible applications with relatively fast, highly sensitive, and potentially portable ways to analyze for viral compounds. However, beneficial aspects of these rapidly growing MS technologies in pandemics like COVID-19 outbreaks has been limited. Hence, this perspective gives a brief of the existing knowledge, current challenges, and opportunities for MS-based techniques as a promising avenue in studying emerging pathogen outbreaks such as COVID-19.
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Affiliation(s)
- Iqbal Mahmud
- Department of Pathology, Immunology,
and Laboratory Medicine, University of
Florida, College of Medicine, Gainesville, Florida
32610, United States
- Southeast Center for Integrated
Metabolomics (SECIM), Clinical and Translational Science Institute,
University of Florida, Gainesville,
Florida 32610, United States
- University of Florida Health,
University of Florida, Gainesville,
Florida 32610, United States
| | - Timothy J. Garrett
- Department of Pathology, Immunology,
and Laboratory Medicine, University of
Florida, College of Medicine, Gainesville, Florida
32610, United States
- Southeast Center for Integrated
Metabolomics (SECIM), Clinical and Translational Science Institute,
University of Florida, Gainesville,
Florida 32610, United States
- University of Florida Health,
University of Florida, Gainesville,
Florida 32610, United States
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21
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Hassan SS, Attrish D, Ghosh S, Choudhury PP, Uversky VN, Uhal BD, Lundstrom K, Rezaei N, Aljabali AAA, Seyran M, Pizzol D, Adadi P, Abd El-aziz TM, Soares A, Kandimalla R, Tambuwala M, Lal A, Azad GK, Sherchan SP, Baetas-da-cruz W, Palù G, Brufsky AM. Notable sequence homology of the ORF10 protein introspects the architecture of SARS-COV-2.. [DOI: 10.1101/2020.09.06.284976] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
Abstract
ABSTRACTThe global public health is endangered due to COVID-19 pandemic, which is caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2). Despite having similar pathology to MERS and SARS-CoV, the infection fatality rate of SARS-CoV-2 is likely lower than 1%. SARS-CoV-2 has been reported to be uniquely characterized by the accessory protein ORF10, which contains eleven cytotoxic T lymphocyte (CTL) epitopes of nine amino acids length each, across various human leukocyte antigen (HLA) subtypes. In this study, all missense mutations found in sequence databases were examined across twnety-two unique SARS-CoV-2 ORF10 variants that could possibly alter viral pathogenicity. Some of these mutations decrease the stability of ORF10, e.g. I4L and V6I were found in the MoRF region of ORF10 which may also possibly contribute to Intrinsic protein disorder. Furthermore, a physicochemical and structural comparative analysis was carried out on SARS-CoV-2 and Pangolin-CoV ORF10 proteins, which share 97.37% amino acid homology. The high degree of physicochemical and structural similarity of ORF10 proteins of SARS-CoV-2 and Pangolin-CoV open questions about the architecture of SARS-CoV-2 due to the disagreement of these two ORF10 proteins over their sub-structure (loop/coil region), solubility, antigenicity and change from the strand to coil at amino acid position 26, where tyrosine is present. Altogether, SARS-CoV-2 ORF10 is a promising pharmaceutical target and a protein which should be monitored for changes which correlate to change pathogenesis and clinical course of COVID-19 infection.
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22
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Jenkins MM, McCaw TR, Goepfert PA. Mechanistic inferences from clinical reports of SARS-CoV-2. Infect Dis (Lond) 2020; 52:527-537. [PMID: 32459123 PMCID: PMC7265107 DOI: 10.1080/23744235.2020.1769853] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 05/08/2020] [Accepted: 05/11/2020] [Indexed: 01/08/2023] Open
Abstract
SARS-CoV-2 was identified as the causative pathogen in an outbreak of viral pneumonia cases originating in Wuhan, China, with an ensuing rapid global spread that led it to be declared a pandemic by the WHO on March 11, 2020. Given the threat to public health posed by sequelae of SARS-CoV-2 infection, the literature surrounding patient presentation in severe and non-severe cases, transmission rates and routes, management strategies, and initial clinical trial results have become available at an unprecedented pace. In this review we collate current clinical and immunologic reports, comparing these to reports of previous coronaviruses to identify mechanisms driving progression to severe disease in some patients. In brief, we propose a model wherein dysregulated type I interferon signalling leads to aberrant recruitment and accumulation of innate immune lineages in the lung, impairing establishment of productive adaptive responses, and permitting a pathologic pro-inflammatory state. Finally, we extend these findings to suggest possible treatment options that may merit investigation in randomized clinical trials.
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Affiliation(s)
- Meagan M. Jenkins
- Department of Medicine, Division of Clinical Immunology & Rheumatology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Tyler R. McCaw
- Department of Medicine, Division of Clinical Immunology & Rheumatology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Paul A. Goepfert
- Department of Medicine, Division of Infectious Diseases, University of Alabama at Birmingham, Birmingham, AL, USA
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23
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Kumar R, Verma H, Singhvi N, Sood U, Gupta V, Singh M, Kumari R, Hira P, Nagar S, Talwar C, Nayyar N, Anand S, Rawat CD, Verma M, Negi RK, Singh Y, Lal R. Comparative Genomic Analysis of Rapidly Evolving SARS-CoV-2 Reveals Mosaic Pattern of Phylogeographical Distribution. mSystems 2020; 5:e00505-20. [PMID: 32723797 PMCID: PMC7394360 DOI: 10.1128/msystems.00505-20] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 07/14/2020] [Indexed: 02/07/2023] Open
Abstract
The outbreak of coronavirus disease 2019 (COVID-19) that started in Wuhan, China, in December 2019 has spread worldwide, emerging as a global pandemic. The severe respiratory pneumonia caused by novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has so far claimed more than 0.38 million lives and has impacted human lives worldwide. However, as the novel SARS-CoV-2 virus displays high transmission rates, the underlying genomic severity is required to be fully understood. We studied the complete genomes of 95 SARS-CoV-2 strains from different geographical regions worldwide to uncover the pattern of the spread of the virus. We show that there is no direct transmission pattern of the virus among neighboring countries, suggesting that its spread is a result of travel of infected humans to different countries. We revealed unique single nucleotide polymorphisms (SNPs) in nonstructural protein 13 (nsp13), nsp14, nsp15, and nsp16 (ORF1b polyproteins) and in the S-protein within 10 viral isolates from the United States. These viral proteins are involved in RNA replication and binding with the human receptors, indicating that the viral variants that are circulating in the population of the United States are different from those circulating in the populations of other countries. In addition, we found an amino acid addition in nsp16 (mRNA cap-1 methyltransferase) of a U.S. isolate (GenBank accession no. MT188341.1) leading to a shift in the amino acid frame from position 2540 onward. Through comparative structural analysis of the wild-type and mutant proteins, we showed that this addition of a phenylalanine residue renders the protein in the mutant less stable, which might affect mRNA cap-1 methyltransferase function. We further analyzed the SARS-CoV-2-human interactome, which revealed that the interferon signaling pathway is targeted by orf1ab during infection and that it also interacts with NF-κB-repressing factor (NKRF), which is a potential regulator of interleukin-8 (IL-8). We propose that targeting this interaction may subsequently improve the health condition of COVID-19 patients. Our analysis also emphasized that SARS-CoV-2 manipulates spliceosome machinery during infection; hence, targeting splicing might affect viral replication. In conclusion, the replicative machinery of SARS-CoV-2 is targeting interferon and the notch signaling pathway along with spliceosome machinery to evade host challenges.IMPORTANCE The COVID-19 pandemic continues to storm the world, with over 6.5 million cases worldwide. The severity of the disease varies with the territories and is mainly influenced by population density and age factor. In this study, we analyzed the transmission pattern of 95 SARS-CoV-2 genomes isolated from 11 different countries. Our study also revealed several nonsynonymous mutations in ORF1b and S-proteins and the impact on their structural stability. Our analysis showed the manipulation of host system by viral proteins through SARS-CoV-2-human protein interactome, which can be useful to understand the impact of virus on human health.
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Affiliation(s)
- Roshan Kumar
- P.G. Department of Zoology, Magadh University, Bodh Gaya, Bihar, India
| | - Helianthous Verma
- Department of Zoology, Ramjas College, University of Delhi, Delhi, India
| | | | - Utkarsh Sood
- The Energy and Resources Institute, New Delhi, India
| | - Vipin Gupta
- PhiXGen Private Limited, Gurugram, Haryana, India
| | - Mona Singh
- PhiXGen Private Limited, Gurugram, Haryana, India
| | - Rashmi Kumari
- Department of Zoology, College of Commerce, Arts & Science, Patliputra University, Patna, Bihar, India
| | - Princy Hira
- Department of Zoology, Maitreyi College, University of Delhi, New Delhi, India
| | - Shekhar Nagar
- Department of Zoology, University of Delhi, Delhi, India
| | - Chandni Talwar
- Department of Zoology, University of Delhi, Delhi, India
| | - Namita Nayyar
- Department of Zoology, Sri Venkateswara College, University of Delhi, New Delhi, India
| | - Shailly Anand
- Department of Zoology, Deen Dayal Upadhyaya College, University of Delhi, New Delhi, India
| | - Charu Dogra Rawat
- Department of Zoology, Ramjas College, University of Delhi, Delhi, India
| | - Mansi Verma
- Department of Zoology, Sri Venkateswara College, University of Delhi, New Delhi, India
| | | | - Yogendra Singh
- Department of Zoology, University of Delhi, Delhi, India
| | - Rup Lal
- The Energy and Resources Institute, New Delhi, India
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24
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Melin AD, Janiak MC, Marrone F, Arora PS, Higham JP. Comparative ACE2 variation and primate COVID-19 risk. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2020:2020.04.09.034967. [PMID: 32511330 PMCID: PMC7239060 DOI: 10.1101/2020.04.09.034967] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
The emergence of the novel coronavirus SARS-CoV-2, which in humans is highly infectious and leads to the potentially fatal disease COVID-19, has caused hundreds of thousands of deaths and huge global disruption. The viral infection may also represent an existential threat to our closest living relatives, the nonhuman primates, many of which are endangered and often reduced to small populations. The virus engages the host cell receptor, angiotensin-converting enzyme-2 (ACE2), through the receptor binding domain (RBD) on the spike protein. The contact surface of ACE2 displays amino acid residues that are critical for virus recognition, and variations at these critical residues are likely to modulate infection susceptibility across species. While infection studies are emerging and have shown that some primates, such as rhesus macaques and vervet monkeys, develop COVID-19-like symptoms when exposed to the virus, the susceptibility of many other nonhuman primates is unknown. Here, we show that all apes, including chimpanzees, bonobos, gorillas, and orangutans, and all African and Asian monkeys (catarrhines), exhibit the same set of twelve key amino acid residues as human ACE2. Monkeys in the Americas, and some tarsiers, lemurs and lorisoids, differ at significant contact residues, and protein modeling predicts that these differences should greatly reduce the binding affinity of the ACE2 for the virus, hence moderating their susceptibility for infection. Other lemurs are predicted to be closer to catarrhines in their susceptibility. Our study suggests that apes and African and Asian monkeys, as well as some lemurs are all likely to be highly susceptible to SARS-CoV-2, representing a critical threat to their survival. Urgent actions have been undertaken to limit the exposure of Great Apes to humans, and similar efforts may be necessary for many other primate species.
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Affiliation(s)
- Amanda D Melin
- Department of Anthropology and Archaeology, University of Calgary, CA
- Department of Medical Genetics, University of Calgary, CA
- Alberta Children's Hospital Research Institute, University of Calgary, CA
| | - Mareike C Janiak
- Department of Anthropology and Archaeology, University of Calgary, CA
- Alberta Children's Hospital Research Institute, University of Calgary, CA
| | | | | | - James P Higham
- Department of Anthropology, New York University, US
- New York Consortium in Evolutionary Primatology, New York, US
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25
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Kaushal N, Gupta Y, Goyal M, Khaiboullina SF, Baranwal M, Verma SC. Mutational Frequencies of SARS-CoV-2 Genome during the Beginning Months of the Outbreak in USA. Pathogens 2020; 9:E565. [PMID: 32668692 PMCID: PMC7400123 DOI: 10.3390/pathogens9070565] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 07/07/2020] [Accepted: 07/11/2020] [Indexed: 11/29/2022] Open
Abstract
SARS-CoV-2 has spread very quickly from its first reported case on 19 January 2020 in the United Stated of America, leading WHO to declare pandemic by 11 March 2020. RNA viruses accumulate mutations following replication and passage in human population, which prompted us to determine the rate and the regions (hotspots) of the viral genome with high rates of mutation. We analyzed the rate of mutation accumulation over a period of 11 weeks (submitted between 19th January to 15 April 2020) in USA SARS-CoV-2 genome. Our analysis identified that majority of the viral genes accumulated mutations, although with varying rates and these included NSP2, NSP3, RdRp, helicase, Spike, ORF3a, ORF8, and Nucleocapsid protein. Sixteen mutations accumulated in Spike protein in which four mutations are located in the receptor binding domain. Intriguingly, we identified a fair number of viral proteins (NSP7, NSP9, NSP10, NSP11, Envelop, ORF6, and ORF7b proteins), which did not accumulate any mutation. Limited changes in these proteins may suggest that they have conserved functions, which are essential for virus propagation. This provides a basis for a better understanding of the genetic variation in SARS-CoV-2 circulating in the US, which could help in identifying potential therapeutic targets for controlling COVID-19.
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Affiliation(s)
- Neha Kaushal
- Department of Biotechnology, Thapar Institute of Engineering and Technology, Patiala 147004, India; (N.K.); (Y.G.); (M.G.)
| | - Yogita Gupta
- Department of Biotechnology, Thapar Institute of Engineering and Technology, Patiala 147004, India; (N.K.); (Y.G.); (M.G.)
| | - Mehendi Goyal
- Department of Biotechnology, Thapar Institute of Engineering and Technology, Patiala 147004, India; (N.K.); (Y.G.); (M.G.)
- Talwar and Talwar Consultants, Mohali 160055, India
| | - Svetlana F. Khaiboullina
- Department of Microbiology and Immunology, University of Nevada, Reno, NV 89557, USA;
- Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan, 420008 Tatarstan, Russia
| | - Manoj Baranwal
- Department of Biotechnology, Thapar Institute of Engineering and Technology, Patiala 147004, India; (N.K.); (Y.G.); (M.G.)
| | - Subhash C. Verma
- Department of Microbiology and Immunology, University of Nevada, Reno, NV 89557, USA;
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26
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Tang Y, Liu J, Zhang D, Xu Z, Ji J, Wen C. Cytokine Storm in COVID-19: The Current Evidence and Treatment Strategies. Front Immunol 2020; 11:1708. [PMID: 32754163 PMCID: PMC7365923 DOI: 10.3389/fimmu.2020.01708] [Citation(s) in RCA: 658] [Impact Index Per Article: 164.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 06/26/2020] [Indexed: 01/08/2023] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) is the pathogen that causes coronavirus disease 2019 (COVID-19). As of 25 May 2020, the outbreak of COVID-19 has caused 347,192 deaths around the world. The current evidence showed that severely ill patients tend to have a high concentration of pro-inflammatory cytokines, such as interleukin (IL)-6, compared to those who are moderately ill. The high level of cytokines also indicates a poor prognosis in COVID-19. Besides, excessive infiltration of pro-inflammatory cells, mainly involving macrophages and T-helper 17 cells, has been found in lung tissues of patients with COVID-19 by postmortem examination. Recently, increasing studies indicate that the "cytokine storm" may contribute to the mortality of COVID-19. Here, we summarize the clinical and pathologic features of the cytokine storm in COVID-19. Our review shows that SARS-Cov-2 selectively induces a high level of IL-6 and results in the exhaustion of lymphocytes. The current evidence indicates that tocilizumab, an IL-6 inhibitor, is relatively effective and safe. Besides, corticosteroids, programmed cell death protein (PD)-1/PD-L1 checkpoint inhibition, cytokine-adsorption devices, intravenous immunoglobulin, and antimalarial agents could be potentially useful and reliable approaches to counteract cytokine storm in COVID-19 patients.
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Affiliation(s)
| | | | | | | | - Jinjun Ji
- College of Basic Medical Science, Zhejiang Chinese Medical University, Hangzhou, China
| | - Chengping Wen
- College of Basic Medical Science, Zhejiang Chinese Medical University, Hangzhou, China
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27
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Perfetto L, Pastrello C, Del-Toro N, Duesbury M, Iannuccelli M, Kotlyar M, Licata L, Meldal B, Panneerselvam K, Panni S, Rahimzadeh N, Ricard-Blum S, Salwinski L, Shrivastava A, Cesareni G, Pellegrini M, Orchard S, Jurisica I, Hermjakob HH, Porras P. The IMEx Coronavirus interactome: an evolving map of Coronaviridae-Host molecular interactions. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2020:2020.06.16.153817. [PMID: 32587962 PMCID: PMC7310617 DOI: 10.1101/2020.06.16.153817] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
The current Coronavirus Disease 2019 (COVID-19) pandemic, caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), has spurred a wave of research of nearly unprecedented scale. Among the different strategies that are being used to understand the disease and develop effective treatments, the study of physical molecular interactions enables studying fine-grained resolution of the mechanisms behind the virus biology and the human organism response. Here we present a curated dataset of physical molecular interactions, manually extracted by IMEx Consortium curators focused on proteins from SARS-CoV-2, SARS-CoV-1 and other members of the Coronaviridae family. Currently, the dataset comprises over 2,200 binarized interactions extracted from 86 publications. The dataset can be accessed in the standard formats recommended by the Proteomics Standards Initiative (HUPO-PSI) at the IntAct database website ( www.ebi.ac.uk/intact ), and will be continuously updated as research on COVID-19 progresses.
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Affiliation(s)
- L Perfetto
- European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, CB10 1SD, UK
| | - C Pastrello
- Krembil Research Institute, Data Science Discovery Centre for Chronic Diseases, University Health Network, 5KD-407, 60 Leonard Avenue, Toronto, ON, M5T 0S8, Canada
| | - N Del-Toro
- European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, CB10 1SD, UK
| | - M Duesbury
- European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, CB10 1SD, UK
- UCLA-DOE Institute, UCLA, Los Angeles, USA
| | - M Iannuccelli
- Department of Biology, University of Rome Tor Vergata, Via della Ricerca Scientifica, Rome, Italy
| | - M Kotlyar
- Krembil Research Institute, Data Science Discovery Centre for Chronic Diseases, University Health Network, 5KD-407, 60 Leonard Avenue, Toronto, ON, M5T 0S8, Canada
| | - L Licata
- Department of Biology, University of Rome Tor Vergata, Via della Ricerca Scientifica, Rome, Italy
| | - B Meldal
- European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, CB10 1SD, UK
| | - K Panneerselvam
- European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, CB10 1SD, UK
| | - S Panni
- Department of Biology, Ecology and Earth Sciences, Università della Calabria, Rende, Italy
| | - N Rahimzadeh
- UCLA-DOE Institute, UCLA, Los Angeles, USA
- Providence John Wayne Cancer Institute, Santa Monica, USA
| | - S Ricard-Blum
- Univ Lyon, University Claude Bernard Lyon 1, INSA Lyon, CPE, Institute of Molecular and Supramolecular Chemistry and Biochemistry (ICBMS), UMR 5246, F-69622 Villeurbanne, France
| | | | - A Shrivastava
- European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, CB10 1SD, UK
| | - G Cesareni
- Department of Biology, University of Rome Tor Vergata, Via della Ricerca Scientifica, Rome, Italy
| | - M Pellegrini
- Department of Molecular, Cell and Developmental Biology, UCLA, Los Angeles, USA
| | - S Orchard
- European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, CB10 1SD, UK
| | - I Jurisica
- Krembil Research Institute, Data Science Discovery Centre for Chronic Diseases, University Health Network, 5KD-407, 60 Leonard Avenue, Toronto, ON, M5T 0S8, Canada
- Departments of Medical Biophysics and Computer Science, University of Toronto, Toronto, ON, Canada
| | - H H Hermjakob
- European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, CB10 1SD, UK
| | - P Porras
- European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, CB10 1SD, UK
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28
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Hochstetter A. Lab-on-a-Chip Technologies for the Single Cell Level: Separation, Analysis, and Diagnostics. MICROMACHINES 2020; 11:E468. [PMID: 32365567 PMCID: PMC7281269 DOI: 10.3390/mi11050468] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Revised: 04/25/2020] [Accepted: 04/25/2020] [Indexed: 12/14/2022]
Abstract
In the last three decades, microfluidics and its applications have been on an exponential rise, including approaches to isolate rare cells and diagnose diseases on the single-cell level. The techniques mentioned herein have already had significant impacts in our lives, from in-the-field diagnosis of disease and parasitic infections, through home fertility tests, to uncovering the interactions between SARS-CoV-2 and their host cells. This review gives an overview of the field in general and the most notable developments of the last five years, in three parts: 1. What can we detect? 2. Which detection technologies are used in which setting? 3. How do these techniques work? Finally, this review discusses potentials, shortfalls, and an outlook on future developments, especially in respect to the funding landscape and the field-application of these chips.
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Affiliation(s)
- Axel Hochstetter
- Experimentalphysik, Universität des Saarlandes, D-66123 Saarbrücken, Germany
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