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新冠疫情趋势下SARS-CoV-2变体免疫特征比较:一种免疫信息学方法

Comparison of Immunological Profiles of SARS-CoV-2 Variants in the COVID-19 Pandemic Trends: An Immunoinformatics Approach.

作者信息

Mallavarpu Ambrose Jenifer, Priya Veeraraghavan Vishnu, Kullappan Malathi, Chellapandiyan Poongodi, Krishna Mohan Surapaneni, Manivel Vivek Anand

机构信息

Department of Research, Panimalar Medical College Hospital & Research Institute, Varadharajapuram, Poonamallee, Chennai 600 123, Tamil Nadu, India.

Department of Biochemistry, Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Velappanchavadi, Chennai 600 077, Tamil Nadu, India.

出版信息

Antibiotics (Basel). 2021 May 6;10(5):535. doi: 10.3390/antibiotics10050535.

Abstract

The current dynamics of the COVID-19 pandemic have become a serious concern with the emergence of a series of mutant variants of the SARS-CoV-2 virus. Unlike the previous strain, it is reported that the descendants are associated with increased risk of transmission yet causing less impact in terms of hospital admission, the severity of illness, or mortality. Moreover, the vaccine efficacy is also not believed to vary among the population depending on the variants of the virus and ethnicity. It has been determined that the mutations recorded in the spike gene and protein of the newly evolved viruses are specificallyresponsible for this transformation in the behavior of the virus and its disease condition. Hence, this study aimed to compare the immunogenic profiles of the spike protein from the latest variants of the SARS-CoV-2 virus concerning the probability of COVID-19 severity. Genome sequences of the latest SARS-CoV-2 variants were obtained from GISAID and NCBI repositories. The translated protein sequences were run against T-cell and B-cell epitope prediction tools. Subsequently, antigenicity, immunogenicity, allergenicity, toxicity, and conservancy of the identified epitopes were ascertained using various prediction servers. Only the non-allergic and non-toxic potential epitopes were matched for population relevance by using the Human Leucocyte Antigen population registry in IEDB. Finally, the selected epitopes were validated by docking and simulation studies. The evaluated immunological parameters would concurrently reveal the severity of COVID-19, determining the infection rate of the pathogen. Our immunoinformatics approach disclosed that spike protein of the five variants was capable of forming potential T and B-cell epitopes with varying immune responses. Although the Wuhan strain showed a high number of epitope/HLA combinations, relatively less antigenicity and higher immunogenicity results in poor neutralizing capacity, which could be associated with increased disease severity. Our data demonstrate that increased viral antigenicity with moderate to high immunogenicity, and several potential epitope/HLA combinations in England strain, the USA, India, and South Africa variants, could possess a high neutralizing ability. Therefore, our findings reinforce that the newly circulating variants of SARS-CoV-2 might be associated with more infectiousness and less severe disease condition despite their greater viremia, as reported in the recent COVID-19 cases, whichconsequently determine their increased epidemiological fitness.

摘要

随着严重急性呼吸综合征冠状病毒2(SARS-CoV-2)病毒一系列突变变体的出现,当前新冠疫情的动态发展已成为一个严重问题。据报道,与先前的毒株不同,这些后代毒株传播风险增加,但在住院率、疾病严重程度或死亡率方面影响较小。此外,人们也认为疫苗效力不会因病毒变体和种族的不同而在人群中有所差异。已确定新进化病毒的刺突基因和蛋白中记录的突变是造成该病毒行为及其疾病状况发生这种转变的具体原因。因此,本研究旨在比较SARS-CoV-2病毒最新变体的刺突蛋白的免疫原性概况与新冠严重程度的可能性。最新SARS-CoV-2变体的基因组序列从全球共享流感数据倡议组织(GISAID)和美国国立生物技术信息中心(NCBI)数据库中获取。将翻译后的蛋白序列与T细胞和B细胞表位预测工具进行比对。随后,使用各种预测服务器确定已识别表位的抗原性、免疫原性、致敏性、毒性和保守性。通过使用免疫表位数据库(IEDB)中的人类白细胞抗原群体登记信息,仅将无致敏性和无毒性的潜在表位与人群相关性进行匹配。最后,通过对接和模拟研究对所选表位进行验证。所评估的免疫参数将同时揭示新冠的严重程度,确定病原体的感染率。我们的免疫信息学方法表明,这五种变体的刺突蛋白能够形成具有不同免疫反应的潜在T细胞和B细胞表位。尽管武汉毒株显示出大量的表位/HLA组合,但相对较低的抗原性和较高的免疫原性导致中和能力较差,这可能与疾病严重程度增加有关。我们的数据表明,英国毒株、美国毒株、印度毒株和南非毒株变体中病毒抗原性增加且具有中度至高免疫原性以及几种潜在的表位/HLA组合,可能具有较高的中和能力。因此,我们的研究结果强化了如下观点:尽管如近期新冠病例报道的那样,新传播的SARS-CoV-2变体病毒血症更高,但它们可能具有更强的传染性且疾病状况较轻,因此决定了它们更高的流行病学适应性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d69/8148159/b1744c12b193/antibiotics-10-00535-g001.jpg

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