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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
Author(s) -
RomeroLópez José Pablo,
CarnallaCortés Martha,
PachecoOlvera Diana L.,
OcampoGodínez Juan Moisés,
OlivaRamírez Jacqueline,
MorenoManjón Julia,
BernalAlferes Brian,
LópezOlmedo Nancy,
GarcíaLatorre Ethel,
DomínguezLópez María Lilia,
ReyesSandoval Arturo,
JiménezZamudio Luis
Publication year - 2021
Publication title -
journal of medical virology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.782
H-Index - 121
eISSN - 1096-9071
pISSN - 0146-6615
DOI - 10.1002/jmv.26561
Subject(s) - virology , human leukocyte antigen , covid-19 , presentation (obstetrics) , case fatality rate , population , biology , antigen , immunology , medicine , infectious disease (medical specialty) , disease , outbreak , environmental health , pathology , radiology
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.