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COVID-19: viral-host interactome analyzed by network based-approach model to study pathogenesis of SARS-CoV-2 infection.
Messina, Francesco; Giombini, Emanuela; Agrati, Chiara; Vairo, Francesco; Ascoli Bartoli, Tommaso; Al Moghazi, Samir; Piacentini, Mauro; Locatelli, Franco; Kobinger, Gary; Maeurer, Markus; Zumla, Alimuddin; Capobianchi, Maria R; Lauria, Francesco Nicola; Ippolito, Giuseppe.
  • Messina F; National Institute for Infectious Diseases "Lazzaro Spallanzani" IRCCS, Rome, Italy.
  • Giombini E; National Institute for Infectious Diseases "Lazzaro Spallanzani" IRCCS, Rome, Italy.
  • Agrati C; National Institute for Infectious Diseases "Lazzaro Spallanzani" IRCCS, Rome, Italy.
  • Vairo F; National Institute for Infectious Diseases "Lazzaro Spallanzani" IRCCS, Rome, Italy.
  • Ascoli Bartoli T; National Institute for Infectious Diseases "Lazzaro Spallanzani" IRCCS, Rome, Italy.
  • Al Moghazi S; National Institute for Infectious Diseases "Lazzaro Spallanzani" IRCCS, Rome, Italy.
  • Piacentini M; National Institute for Infectious Diseases "Lazzaro Spallanzani" IRCCS, Rome, Italy.
  • Locatelli F; Department of Biology, University of Rome "Tor Vergata", Rome, Italy.
  • Kobinger G; Department of Pediatric Hematology and Oncology, IRCCS Ospedale Pediatrico Bambino Gesu, Rome, Italy.
  • Maeurer M; Département de Microbiologie-Infectiologie et d'Immunologie, Université Laval, Quebec, QC, Canada.
  • Zumla A; ImmunoSurgery Unit, Champalimaud Centre for the Unknown, Lisbon, Portugal.
  • Capobianchi MR; I. Medizinische Klinik Johannes Gutenberg-Universität, University of Mainz, Mainz, Germany.
  • Lauria FN; Department of Infection, Division of Infection and Immunity, University College London, London, UK.
  • Ippolito G; National Institute for Health Research Biomedical Research Centre, University College London Hospitals NHS Foundation Trust, London, UK.
J Transl Med ; 18(1): 233, 2020 06 10.
Artículo en Inglés | MEDLINE | ID: covidwho-592324
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ABSTRACT

BACKGROUND:

Epidemiological, virological and pathogenetic characteristics of SARS-CoV-2 infection are under evaluation. A better understanding of the pathophysiology associated with COVID-19 is crucial to improve treatment modalities and to develop effective prevention strategies. Transcriptomic and proteomic data on the host response against SARS-CoV-2 still have anecdotic character; currently available data from other coronavirus infections are therefore a key source of information.

METHODS:

We investigated selected molecular aspects of three human coronavirus (HCoV) infections, namely SARS-CoV, MERS-CoV and HCoV-229E, through a network based-approach. A functional analysis of HCoV-host interactome was carried out in order to provide a theoretic host-pathogen interaction model for HCoV infections and in order to translate the results in prediction for SARS-CoV-2 pathogenesis. The 3D model of S-glycoprotein of SARS-CoV-2 was compared to the structure of the corresponding SARS-CoV, HCoV-229E and MERS-CoV S-glycoprotein. SARS-CoV, MERS-CoV, HCoV-229E and the host interactome were inferred through published protein-protein interactions (PPI) as well as gene co-expression, triggered by HCoV S-glycoprotein in host cells.

RESULTS:

Although the amino acid sequences of the S-glycoprotein were found to be different between the various HCoV, the structures showed high similarity, but the best 3D structural overlap shared by SARS-CoV and SARS-CoV-2, consistent with the shared ACE2 predicted receptor. The host interactome, linked to the S-glycoprotein of SARS-CoV and MERS-CoV, mainly highlighted innate immunity pathway components, such as Toll Like receptors, cytokines and chemokines.

CONCLUSIONS:

In this paper, we developed a network-based model with the aim to define molecular aspects of pathogenic phenotypes in HCoV infections. The resulting pattern may facilitate the process of structure-guided pharmaceutical and diagnostic research with the prospect to identify potential new biological targets.
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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Neumonía Viral / Infecciones por Coronavirus / Mapeo de Interacción de Proteínas / Redes Reguladoras de Genes / Interacciones Huésped-Patógeno / Betacoronavirus / Modelos Biológicos Tipo de estudio: Estudio experimental / Estudio pronóstico Límite: Humanos Idioma: Inglés Revista: J Transl Med Año: 2020 Tipo del documento: Artículo País de afiliación: S12967-020-02405-w

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Neumonía Viral / Infecciones por Coronavirus / Mapeo de Interacción de Proteínas / Redes Reguladoras de Genes / Interacciones Huésped-Patógeno / Betacoronavirus / Modelos Biológicos Tipo de estudio: Estudio experimental / Estudio pronóstico Límite: Humanos Idioma: Inglés Revista: J Transl Med Año: 2020 Tipo del documento: Artículo País de afiliación: S12967-020-02405-w