Pressured cytotoxic T cell epitope strength among SARS‐CoV‐2 variants correlates with COVID‐19 severity

Author:

Rao Vishal1ORCID,Banerjee Ushashi1,Sambaturu Narmada12,Chunchanur Sneha3,Ambica R.3,Chandra Nagasuma14

Affiliation:

1. Department of Biochemistry Indian Institute of Science (IISc) Bangalore India

2. Los Alamos National Laboratory Los Alamos New Mexico USA

3. Department of Microbiology Bangalore Medical College and Research Institute (BMCRI) Bangalore India

4. Center for BioSystems Science and Engineering (BSSE), Indian Institute of Science (IISc) Bangalore India

Abstract

Heterogeneity in susceptibility among individuals to COVID‐19 has been evident through the pandemic worldwide. Cytotoxic T lymphocyte (CTL) responses generated against pathogens in certain individuals are known to impose selection pressure on the pathogen, thus driving emergence of new variants. In this study, we probe the role played by host genetic heterogeneity in terms of HLA‐genotypes in determining differential COVID‐19 severity in patients. We use bioinformatic tools for CTL epitope prediction to identify epitopes under immune pressure. Using HLA‐genotype data of COVID‐19 patients from a local cohort, we observe that the recognition of pressured epitopes from the parent strain Wuhan‐Hu‐1 correlates with COVID‐19 severity. We also identify and rank list HLA‐alleles and epitopes that offer protectivity against severe disease in infected individuals. Finally, we shortlist a set of 6 pressured and protective epitopes that represent regions in the viral proteome that are under high immune pressure across SARS‐CoV‐2 variants. Identification of such epitopes, defined by the distribution of HLA‐genotypes among members of a population, could potentially aid in prediction of indigenous variants of SARS‐CoV‐2 and other pathogens.

Publisher

Wiley

Subject

Genetics,Immunology,Immunology and Allergy

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3