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I 类 HLA 等位基因预测的刺突蛋白和核衣壳蛋白的受限抗原覆盖范围与 COVID-19 相关死亡有关。

Class I HLA Allele Predicted Restricted Antigenic Coverages for Spike and Nucleocapsid Proteins Are Associated With Deaths Related to COVID-19.

机构信息

Laboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, Brazil.

Program of Immunology and Tumor Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, Brazil.

出版信息

Front Immunol. 2020 Dec 16;11:565730. doi: 10.3389/fimmu.2020.565730. eCollection 2020.

Abstract

The world is dealing with one of the worst pandemics ever. SARS-CoV-2 is the etiological agent of COVID-19 that has already spread to more than 200 countries. However, infectivity, severity, and mortality rates do not affect all countries equally. Here we consider 140 HLA alleles and extensively investigate the landscape of 3,723 potential HLA-I A and B restricted SARS-CoV-2-derived antigens and how 37 countries in the world are predicted to respond to those peptides considering their HLA-I distribution frequencies. The clustering of HLA-A and HLA-B allele frequencies partially separates most countries with the lowest number of deaths per million inhabitants from the other countries. We further correlated the patterns of predicted population coverage and epidemiological data. The number of deaths per million inhabitants correlates to the predicted antigen coverage of S and N derived peptides and its module is influenced if a given set of frequent or rare HLA alleles are analyzed in a given population. Moreover, we highlighted a potential risk group carrying HLAs associated with an elevated number of deaths per million inhabitants. In addition, we identified three potential antigens bearing at least one amino acid of the four-length insertion that differentiates SARS-CoV-2 from previous coronavirus strains. We believe these data can contribute to the search for peptides with the potential to be used in vaccine strategies considering the role of herd immunity to hamper the spread of the disease. Importantly, to the best of our knowledge, this work is the first to use a populational approach in association with COVID-19 outcome.

摘要

世界正在应对有史以来最严重的大流行之一。SARS-CoV-2 是 COVID-19 的病原体,已经传播到 200 多个国家。然而,传染性、严重程度和死亡率并不能平等地影响所有国家。在这里,我们考虑了 140 个 HLA 等位基因,并广泛研究了 3723 个潜在的 HLA-I A 和 B 受限 SARS-CoV-2 衍生抗原的景观,以及世界上 37 个国家考虑到其 HLA-I 分布频率,预计如何对这些肽做出反应。HLA-A 和 HLA-B 等位基因频率的聚类部分将死亡人数最低的大多数国家与其他国家区分开来。我们进一步将预测的人群覆盖率和流行病学数据的模式相关联。每百万居民的死亡人数与 S 和 N 衍生肽的预测抗原覆盖率相关,如果在给定的人群中分析一组常见或罕见的 HLA 等位基因,则其模块会受到影响。此外,我们强调了一个携带与每百万居民死亡人数增加相关的 HLA 的潜在风险群体。此外,我们确定了三个具有至少一个区分 SARS-CoV-2 与以前冠状病毒株的四长度插入的氨基酸的潜在抗原。我们相信,这些数据可以有助于寻找具有用于疫苗策略的潜力的肽,考虑到群体免疫的作用以阻止疾病的传播。重要的是,据我们所知,这项工作是首次将人群方法与 COVID-19 结果相关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a8c/7772148/922afc19cd5e/fimmu-11-565730-g001.jpg

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