A bioinformatic prediction of antigen presentation from SARS‐CoV‐2 spike protein revealed a theoretical correlation of HLA‐DRB1*01 with COVID‐19 fatality in Mexican population: An ecological approach
José Pablo Romero‐López, Martha Carnalla, Diana Laura Pacheco-Olvera, Juan Moisés Ocampo‐Godínez, Jacqueline Oliva, Julia Moreno‐Manjón, Brian Bernal‐Alferes, Nancy López‐Olmedo, Ethel Garcı́a-Latorre, María Lilia Domínguez‐López, Arturo Reyes‐Sandoval, L Jiménez-Zamudio
Abstract
SARS-CoV-2 infection is causing a pandemic disease that is reflected in challenging public health problems worldwide. Human leukocyte antigen (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 severe acute respiratory syndrome coronavirus 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 10 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.