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生物信息学 HLA 研究在 SARS-CoV-2 大流行背景下与 HLA 等位基因与先前存在的医疗条件的关联综述。

Bioinformatic HLA Studies in the Context of SARS-CoV-2 Pandemic and Review on Association of HLA Alleles with Preexisting Medical Conditions.

机构信息

Department of Virology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.

Department of Industrial and Environmental Biotechnology, National Institute of Genetic Engineering and Biotechnology, Tehran, Iran.

出版信息

Biomed Res Int. 2021 May 28;2021:6693909. doi: 10.1155/2021/6693909. eCollection 2021.

DOI:10.1155/2021/6693909
PMID:34136572
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8162251/
Abstract

After the announcement of a new coronavirus in China in December 2019, which was then called SARS-CoV-2, this virus changed to a global concern and it was then declared as a pandemic by WHO. Human leukocyte antigen (HLA) alleles, which are one of the most polymorphic genes, play a pivotal role in both resistance and vulnerability of the body against viruses and other infections as well as chronic diseases. The association between HLA alleles and preexisting medical conditions such as cardiovascular diseases and diabetes mellitus is reported in various studies. In this review, we focused on the bioinformatic HLA studies to summarize the HLA alleles which responded to SARS-CoV-2 peptides and have been used to design vaccines. We also reviewed HLA alleles that are associated with comorbidities and might be related to the high mortality rate among COVID-19 patients. Since both genes and patients' medical conditions play a key role in both severity of the disease and the mortality rate in COVID-19 patients, a better understanding of the connection between HLA alleles and SARS-CoV-2 can provide a wider perspective on the behavior of the virus. Such understanding can help scientists, especially in terms of protecting healthcare workers and designing effective vaccines.

摘要

2019 年 12 月中国宣布一种新型冠状病毒(随后被称为 SARS-CoV-2)后,该病毒成为全球关注的焦点,世界卫生组织随后宣布其为大流行。人类白细胞抗原(HLA)等位基因是最具多态性的基因之一,在人体对病毒和其他感染以及慢性疾病的抵抗力和易感性方面发挥着关键作用。已有研究报道 HLA 等位基因与心血管疾病和糖尿病等既有医疗条件之间存在关联。在这篇综述中,我们专注于 HLA 的生物信息学研究,以总结对 SARS-CoV-2 肽有反应并被用于设计疫苗的 HLA 等位基因。我们还综述了与合并症相关且可能与 COVID-19 患者高死亡率有关的 HLA 等位基因。由于基因和患者的医疗条件都在 COVID-19 患者的疾病严重程度和死亡率中发挥关键作用,因此更好地了解 HLA 等位基因与 SARS-CoV-2 之间的关系可以更全面地了解病毒的行为。这种了解可以帮助科学家,特别是在保护医护人员和设计有效疫苗方面。

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本文引用的文献

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Identification of vaccine targets & design of vaccine against SARS-CoV-2 coronavirus using computational and deep learning-based approaches.使用基于计算和深度学习的方法鉴定 SARS-CoV-2 冠状病毒的疫苗靶点和设计疫苗。
PeerJ. 2022 May 19;10:e13380. doi: 10.7717/peerj.13380. eCollection 2022.
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Structure-Based Modeling of SARS-CoV-2 Peptide/HLA-A02 Antigens.严重急性呼吸综合征冠状病毒2(SARS-CoV-2)肽/HLA-A02抗原的基于结构的建模
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ACE2 Expression in Kidney and Testis May Cause Kidney and Testis Infection in COVID-19 Patients.血管紧张素转换酶2(ACE2)在肾脏和睾丸中的表达可能导致COVID-19患者的肾脏和睾丸感染。
Front Med (Lausanne). 2021 Jan 13;7:563893. doi: 10.3389/fmed.2020.563893. eCollection 2020.
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Artificial intelligence predicts the immunogenic landscape of SARS-CoV-2 leading to universal blueprints for vaccine designs.人工智能预测 SARS-CoV-2 的免疫原性景观,从而为疫苗设计提供通用蓝图。
Sci Rep. 2020 Dec 23;10(1):22375. doi: 10.1038/s41598-020-78758-5.
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RBM-MHC: A Semi-Supervised Machine-Learning Method for Sample-Specific Prediction of Antigen Presentation by HLA-I Alleles.RBM-MHC:一种 HLA-I 等位基因对抗原呈递进行样本特异性预测的半监督机器学习方法。
Cell Syst. 2021 Feb 17;12(2):195-202.e9. doi: 10.1016/j.cels.2020.11.005. Epub 2020 Dec 17.
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