Molecular basis of the potential interaction of SARS-CoV-2 spike protein to CD147 in COVID-19 associated-lymphopenia

J Biomol Struct Dyn. 2022 Feb;40(3):1109-1119. doi: 10.1080/07391102.2020.1822208. Epub 2020 Sep 16.

Abstract

Lymphopenia is considered one of the most characteristic clinical features of the coronavirus disease 2019 (COVID-19). SARS-CoV-2 infects host cells via the interaction of its spike protein with the human angiotensin-converting enzyme 2 (hACE2) receptor. Since T lymphocytes display a very low expression level of hACE2, a novel receptor might be involved in the entry of SARS-CoV-2 into T cells. The transmembrane glycoprotein CD147 is highly expressed by activated T lymphocytes, and was recently proposed as a probable route for SARS-CoV-2 invasion. To understand the molecular basis of the potential interaction of SARS-CoV-2 to CD147, we have investigated the binding of the viral spike protein to this receptor in-silico. The results showed that this binding is dominated by electrostatic interactions involving residues Arg403, Asn481, and the backbone of Gly502. The overall binding arrangement shows the CD147 C-terminal domain interacting with the spike external subdomain in the grove between the short antiparallel β strands, β1' and β2', and the small helix α1'. This proposed interaction was further confirmed using MD simulation and binding free energy calculation. These data contribute to a better understanding of the mechanism of infection of SARS-CoV-2 to T lymphocytes and could provide valuable insights for the rational design of adjuvant treatment for COVID-19. Communicated by Ramaswamy H. Sarma.

Keywords: CD147; Lymphopenia; SARS-CoV-2; docking; spike.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Basigin
  • COVID-19*
  • Humans
  • Lymphopenia*
  • Protein Binding
  • SARS-CoV-2
  • Spike Glycoprotein, Coronavirus / metabolism

Substances

  • BSG protein, human
  • Spike Glycoprotein, Coronavirus
  • spike protein, SARS-CoV-2
  • Basigin

Grants and funding

The authors would like to thank the Bibliotheca Alexandrina, Alexandria, Egypt for providing access to the High-Performance Computing Cluster which was used for the molecular dynamics simulation part of the study, ASRT grant #7301 for partial funding, and internal funding ZC003-2019 from Zewail City for Science and Technology.