Moody Rhiane, Wilson Kirsty L, Boer Jennifer C, Holien Jessica K, Flanagan Katie L, Jaworowski Anthony, Plebanski Magdalena
School of Health and Biomedical Science, STEM College, RMIT University, Bundoora, VIC, Australia.
School of Science, STEM College, RMIT University, Bundoora, VIC, Australia.
Front Bioinform. 2021 Aug 19;1:709533. doi: 10.3389/fbinf.2021.709533. eCollection 2021.
COVID-19, caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), whilst commonly characterised as a respiratory disease, is reported to have extrapulmonary manifestations in multiple organs. Extrapulmonary involvement in COVID-19 includes autoimmune-like diseases such as Guillain-Barré syndrome and Kawasaki disease, as well as the presence of various autoantibodies including those associated with autoimmune diseases such a systemic lupus erythematosus (e.g. ANA, anti-La). Multiple strains of SARS-CoV-2 have emerged globally, some of which are found to be associated with increased transmissibility and severe disease. We performed an unbiased comprehensive mapping of the potential for cross-reactivity with self-antigens across multiple SARS-CoV-2 proteins and compared identified immunogenic regions across multiples strains. Using the Immune Epitope Database (IEDB) B cell epitope prediction tool, regions predicted as antibody epitopes with high prediction scores were selected. Epitope sequences were then blasted to eight other global strains to identify mutations within these regions. Of the 15 sequences compared, eight had a mutation in at least one other global strain. Predicted epitopes were then compared to human proteins using the NCBI blast tool. In contrast to studies focusing on short sequences of peptide identity, we have taken an immunological approach to selection criteria for further analysis and have identified 136 alignments of 6-23 amino acids (aa) in 129 human proteins that are immunologically likely to be cross-reactive with SARS-CoV-2. Additionally, to identify regions with significant potential to interfere with host cell function-or promote immunopathology, we identified epitope regions more likely to be accessible to pathogenic autoantibodies in the host, selected using a novel combination of sequence similarity, and modelling protein and alignment localization with a focus on extracellular regions. Our analysis identified 11 new predicted B-cell epitopes in host proteins, potentially capable of explaining key aspects of COVID-19 extrapulmonary pathology, and which were missed in other studies which used direct identity rather than immunologically related functional criteria.
由严重急性呼吸综合征冠状病毒2(SARS-CoV-2)引起的2019冠状病毒病(COVID-19),虽然通常被认为是一种呼吸道疾病,但据报道在多个器官中存在肺外表现。COVID-19的肺外受累包括格林-巴利综合征和川崎病等自身免疫性疾病,以及各种自身抗体的存在,包括与系统性红斑狼疮等自身免疫性疾病相关的抗体(如抗核抗体、抗La抗体)。全球出现了多种SARS-CoV-2毒株,其中一些被发现与传播性增加和严重疾病有关。我们对多种SARS-CoV-2蛋白与自身抗原的交叉反应潜力进行了无偏倚的全面映射,并比较了多个毒株中确定的免疫原性区域。使用免疫表位数据库(IEDB)的B细胞表位预测工具,选择预测分数高的抗体表位区域。然后将表位序列与其他八个全球毒株进行比对,以识别这些区域内的突变。在比较的15个序列中,有8个在至少一种其他全球毒株中发生了突变。然后使用NCBI比对工具将预测的表位与人类蛋白质进行比较。与专注于肽同一性短序列的研究不同,我们采用了一种免疫学方法来选择进一步分析的标准,并在129种人类蛋白质中确定了136个6至23个氨基酸(aa)的比对,这些比对在免疫学上可能与SARS-CoV-2发生交叉反应。此外,为了识别具有显著潜力干扰宿主细胞功能或促进免疫病理学的区域,我们使用序列相似性的新组合,以及聚焦于细胞外区域的蛋白质建模和比对定位,确定了宿主中致病性自身抗体更易接近的表位区域。我们的分析在宿主蛋白中鉴定出11个新的预测B细胞表位,这些表位可能解释了COVID-19肺外病理的关键方面,而在其他使用直接同一性而非免疫相关功能标准的研究中则未发现这些表位。