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.

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.

journal_name

J Med Virol

authors

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

doi

10.1002/jmv.26561

subject

Has Abstract

pub_date

2020-09-28 00:00:00

eissn

0146-6615

issn

1096-9071

pub_type

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