Recombinant Antigens Based on Non-Glycosylated Regions from RBD SARS-CoV-2 as Potential Vaccine Candidates against COVID-19

Autor: Hugo González-Conchillos, Gabriel Marcelino-Pérez, Daniela Roa-Velázquez, Edgar Morales-Ríos, Roberto Ruiz-Medrano, America Padilla-Viveros, Diana Tapia-Sidas, Martha Espinosa-Cantellano, Gustavo Torres-Franco, Karla Acosta-Virgen, Leandro Nuñez-Muñoz, Ana Olivares-Martínez, Jorge Ramos-Flores, Diana Peláez-González, Brenda Vargas-Hernández, José Abrahan Ramírez-Pool, Berenice Calderón-Pérez, Jorge Fernández-Hernández, Miriam Pérez-Saldívar, Beatriz Xoconostle-Cázares
Rok vydání: 2021
Předmět:
Zdroj: Vaccines
Vaccines, Vol 9, Iss 928, p 928 (2021)
Volume 9
Issue 8
ISSN: 2076-393X
Popis: The Receptor-Binding Domain (RBD) of the Spike (S) protein from Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has glycosylation sites which can limit the production of reliable antigens expressed in prokaryotic platforms, due to glycan-mediated evasion of the host immune response. However, protein regions without glycosylated residues capable of inducing neutralizing antibodies could be useful for antigen production in systems that do not carry the glycosylation machinery. To test this hypothesis, the potential antigens NG06 and NG19, located within the non-glycosylated S-RBD region, were selected and expressed in Escherichia coli, purified by FPLC and employed to determine their immunogenic potential through detection of antibodies in serum from immunized rabbits, mice, and COVID-19 patients. IgG antibodies from sera of COVID-19-recovered patients detected the recombinant antigens NG06 and NG19 (A450 nm = 0.80 ± 0.33
1.13 ± 0.33
and 0.11 ± 0.08 for and negatives controls, respectively). Also, the purified antigens were able to raise polyclonal antibodies in animal models evoking a strong immune response with neutralizing activity in mice model. This research highlights the usefulness of antigens based on the non-N-glycosylated region of RBD from SARS-CoV-2 for candidate vaccine development.
Databáze: OpenAIRE