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COVID-19: Viral-host interactome analyzed by network based-approach model to study pathogenesis of SARS-CoV-2 infection

  • Francesco Messina
  • , Emanuela Giombini
  • , Chiara Agrati
  • , Francesco Vairo
  • , Tommaso Ascoli Bartoli
  • , Samir Al Moghazi
  • , Mauro Piacentini
  • , Franco Locatelli
  • , Gary Kobinger
  • , Markus Maeurer
  • , Markus Maeurer
  • , Alimuddin Zumla
  • , Maria R. Capobianchi
  • , Francesco Nicola Lauria
  • , Giuseppe Ippolito

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Article number233
JournalJournal of Translational Medicine
Volume18
Issue number1
DOIs
StatePublished - Jun 10 2020
Externally publishedYes

Keywords

  • Coronavirus infection
  • Spike glycoprotein
  • Virus-host interactome

ASJC Scopus subject areas

  • General Biochemistry, Genetics and Molecular Biology

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