A bioinformatic prediction of antigen presentation from SARS-CoV-2 spike protein revealed a theorical correlation of HLA-DRB1*01 with COVID-19 fatality in Mexican population: an ecological approach.
Romero-López JP., Carnalla-Cortés M., Pacheco-Olvera DL., Ocampo-Godínez JM., Oliva-Ramírez J., Moreno-Manjón J., Bernal-Alferes B., López-Olmedo N., García-Latorre E., Domínguez-López ML., Reyes-Sandoval A., Jiménez-Zamudio L.
SARS-CoV-2 infection is causing a pandemic disease that is reflected in challenging public health problems worldwide. HLA-based epitope prediction and its association with disease outcomes provide an important base for treatment design. A bioinformatic prediction of T cell epitopes and their restricted HLA class I and II alleles was performed to obtain immunogenic epitopes and HLA alleles from the spike protein of the SARS-CoV-2 virus. Also, a correlation with the predicted fatality rate of hospitalized patients in 28 states of Mexico was done. Here, we describe a set of ten highly immunogenic epitopes, together with different HLA alleles that can efficiently present these epitopes to T cells. Most of these epitopes are located within the S1 subunit of the spike protein, suggesting that this area is highly immunogenic. A statistical negative correlation was found between the frequency of HLA-DRB1*01 and the fatality rate in hospitalized patients in Mexico. This article is protected by copyright. All rights reserved.