The Potential of Developing Pan-Coronaviral Antibodies to Spike Peptides in Convalescent COVID-19 Patients.
Andrii RabetsGalyna BilaRoman GrytskoMarkiyan SamborskyyYuriy RebetsSandor G VariQuentin PagneuxAlexandre BarrasRabah BoukherroubSabine SzuneritsRostyslav O BilyyPublished in: Archivum immunologiae et therapiae experimentalis (2021)
Coronaviruses share conservative spike protein (S) on their enveloped membrane surface, where S1 subunit recognizes and binds the cellular receptor, and the S2 subunit mediates membrane fusion. This similarity raises the question: does coronaviral infection by one create protection to others? Convalescent SARS-CoV-2 (COVID-19) sera were tested for cross reactivity with peptides from Middle East respiratory syndrome coronavirus (MERS-CoV) which shares 74% homology. Our results showed significant cross-reactivity with a peptide of the heptad repeat 2 (HR2) domain of the MERS-CoV spike protein. Sera samples of 47 validated seropositive convalescent COVID-19 patients and 40 sera samples of control patients, collected in pre-COVID time were used to establish cross-bind reactivity with the MERS-CoV peptide. Significantly stronger binding (p < 0.0001) was observed for IgG antibodies in convalescent COVID-19 patients compared to the control group. In ELISA, MERS-CoV peptide helps to discriminate post-COVID-19 populations and non-infected ones by the presence of antibodies in blood samples. This suggests that polyclonal antibodies established during SARS-CoV-2 infection can recognize and probably decrease severity of MERS-CoV and other coronaviral infections. The high homology of the spike protein domain also suggests that the opposite effect can be true: coronaviral infections produce cross-reactive antibodies effective against SARS-CoV-2. The collected data prove that despite the core HR2 region is hidden in the native viral conformation, its exposure during cell entry makes it highly immunogenic. Since inhibitory peptides to this region were previously described, this opens new possibilities in fighting coronaviral infections and developing vaccines effective even after possible viral mutations.
Keyphrases
- sars cov
- respiratory syndrome coronavirus
- amino acid
- end stage renal disease
- binding protein
- coronavirus disease
- protein protein
- chronic kidney disease
- ejection fraction
- prognostic factors
- peritoneal dialysis
- stem cells
- cell therapy
- risk assessment
- molecular dynamics simulations
- mesenchymal stem cells
- artificial intelligence
- big data
- deep learning
- crystal structure