SARS-CoV-2 S Glycoprotein Stabilization Strategies

Viruses. 2023 Feb 17;15(2):558. doi: 10.3390/v15020558.

Abstract

The SARS-CoV-2 pandemic has again shown that structural biology plays an important role in understanding biological mechanisms and exploiting structural data for therapeutic interventions. Notably, previous work on SARS-related glycoproteins has paved the way for the rapid structural determination of the SARS-CoV-2 S glycoprotein, which is the main target for neutralizing antibodies. Therefore, all vaccine approaches aimed to employ S as an immunogen to induce neutralizing antibodies. Like all enveloped virus glycoproteins, SARS-CoV-2 S native prefusion trimers are in a metastable conformation, which primes the glycoprotein for the entry process via membrane fusion. S-mediated entry is associated with major conformational changes in S, which can expose many off-target epitopes that deviate vaccination approaches from the major aim of inducing neutralizing antibodies, which mainly target the native prefusion trimer conformation. Here, we review the viral glycoprotein stabilization methods developed prior to SARS-CoV-2, and applied to SARS-CoV-2 S, in order to stabilize S in the prefusion conformation. The importance of structure-based approaches is highlighted by the benefits of employing stabilized S trimers versus non-stabilized S in vaccines with respect to their protective efficacy.

Keywords: S glycoprotein; SARS-CoV-2; neutralizing antibodies; stabilization; vaccine; virus entry.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Antibodies, Neutralizing
  • COVID-19* / prevention & control
  • Epitopes
  • Glycoproteins
  • Humans
  • SARS-CoV-2

Substances

  • Antibodies, Neutralizing
  • Epitopes
  • Glycoproteins

Grants and funding

Work in the author’s lab is supported by the ANR (RA-COVID-19, S-VLP), the “Institut Universitaire de France” (IUF) (W.W.), the European Union’s Horizon 2020 research and innovation program under grant agreement no. 681032, H2020 EHVA (W.W.), FRISBI (ANR-10-INBS-05-02) and GRAL, and a project of the University Grenoble Alpes graduate school (Ecoles Universitaires de Recherche) CBH-EUR-GS (ANR-17-EURE-0003) (W.W.).