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In silico and ex vivo approaches indicate immune pressure on capsid and non-capsid regions of coxsackie B viruses in the human system

机译:计算机和离体方法表明对人体系​​统中柯萨奇B病毒衣壳和非衣壳区域的免疫压力

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摘要

Coxsackie B Virus (CBV) infection has been linked to the aetiology of type 1 diabetes (T1D) and vaccination has been proposed as prophylaxis for disease prevention. Serum neutralising antibodies and the presence of viral protein and RNA in tissues have been common tools to examine this potential disease relationship, whilst the role of anti-CBV cytotoxic T cell responses and their targets have not been studied. To address this knowledge gap, we augmented conventional HLA-binding predictive algorithm-based epitope discovery by cross-referencing epitopes with sites of positive natural selection within the CBV3 viral genome, identified using mixed effects models of evolution. Eight epitopes for the common MHC class I allele HLA-A*0201 occur at sites that appear to be positively selected. Furthermore, such epitopes span the viral genome, indicating that effective anti-viral responses may not be restricted to the capsid region. To assess the spectrum of IFNy responses in non-diabetic subjects and recently diagnosed type 1 diabetes (T1D) patients, we stimulated PBMC ex vivo with pools of synthetic peptides based on component-restricted sequences identified in silico. We found responders were more likely to recognize multiple rather than a single CBV peptide pool, indicating that the natural course of infection results in multiple targets for effector memory responses, rather than immunodominant epitopes or viral components. The finding that anti-CBV CD8 T cell immunity is broadly targeted has implications for vaccination strategies and studies on the pathogenesis of CBV-linked diseases.
机译:柯萨奇B病毒(CBV)感染已与1型糖尿病(T1D)的病因相关,并且已建议接种疫苗来预防疾病。血清中和抗体以及组织中病毒蛋白和RNA的存在是检查这种潜在疾病关系的常用工具,而尚未研究抗CBV细胞毒性T细胞应答及其靶标的作用。为了解决这一知识差距,我们通过交叉引用抗原决定簇与CBV3病毒基因组内具有阳性自然选择位点的表位进行交叉引用,从而增强了基于HLA结合预测算法的常规抗原决定簇发现,使用进化的混合效应模型进行了鉴定。常见的I类MHC等位基因HLA-A * 0201的八个表位出现在似乎被阳性选择的位点。此外,此类表位跨越病毒基因组,表明有效的抗病毒反应可能不限于衣壳区域。为了评估非糖尿病患者和最近诊断为1型糖尿病(T1D)的患者的IFNγ反应谱,我们基于在计算机模拟中鉴定的组分限制性序列,用合成肽库离体刺激PBMC。我们发现应答者更可能识别多个而不是单个CBV肽库,表明感染的自然过程导致效应记忆反应的多个靶标,而不是免疫优势表位或病毒成分。抗CBV CD8 T细胞免疫是广泛针对性的发现,对疫苗接种策略和CBV相关疾病发病机理的研究具有重要意义。

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