比较索托维单抗对 SARS-CoV-2 变异株的中和能力:开发快速计算方法

Dana Ashoor, Maryam Marzouq, M-Dahmani Fathallah
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引用次数: 0

摘要

背景:SARS-CoV-2 的快速进化给疾病控制带来了巨大挑战。SARS-CoV-2尖峰蛋白免疫原表位的基因变异所导致的免疫逃避影响了基于单克隆抗体治疗COVID-19的效率。因此,需要一种快速方法来评估现有单克隆抗体对新出现的变种或潜在新型变种的疗效:本研究旨在开发一种快速计算方法,以评估抗 SARS-CoV-2 单克隆抗体对 SARS-CoV-2 新变异株和其他潜在新变异株的中和能力:方法:利用严重急性呼吸系统综合征冠状病毒(GenBank登录号YP_009825051.1)和SARS-CoV-2(GenBank登录号YP_009724390.1)尖峰蛋白胞外结构域的氨基酸序列创建本地尖峰蛋白的计算三维模型。通过对序列进行特定突变,生成了不同的变异尖峰模型。根据索托维单抗(S309)的分子相互作用和吉布斯自由能,并与用变体受体结合域分子替换参考模型后的参考受体结合域进行比较,评估了索托维单抗(S309)对这些变体的中和潜力:结果:我们的研究结果表明,中和抗体 S309 与 SARS-CoV 和 SARS-CoV-2 的结合亲和力都有所下降。与 SARS-CoV-2 的原始武汉株相比,S309 与 Alpha、Beta、Gamma 和 Kappa 变体的结合亲和力更大。然而,S309 与 Delta 和 Omicron 变体的结合亲和力大大降低。根据 Omicron 亚变体的突变特征,我们的数据描述了 G339H 和 G339D 突变的影响及其在逃避抗体中和方面的作用,这与已发表的临床报告一致:结论:这种方法快速、适用,可用于治疗新出现的变异体。结论:这一方法快速、适用,可将治疗性抗体用于治疗新出现的变体,也可应用于其他病毒感染的抗体治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of the Neutralization Power of Sotrovimab Against SARS-CoV-2 Variants: Development of a Rapid Computational Method.

Background: The rapid evolution of SARS-CoV-2 imposed a huge challenge on disease control. Immune evasion caused by genetic variations of the SARS-CoV-2 spike protein's immunogenic epitopes affects the efficiency of monoclonal antibody-based therapy of COVID-19. Therefore, a rapid method is needed to evaluate the efficacy of the available monoclonal antibodies against the new emerging variants or potential novel variants.

Objective: The aim of this study is to develop a rapid computational method to evaluate the neutralization power of anti-SARS-CoV-2 monoclonal antibodies against new SARS-CoV-2 variants and other potential new mutations.

Methods: The amino acid sequence of the extracellular domain of the spike proteins of the severe acute respiratory syndrome coronavirus (GenBank accession number YP_009825051.1) and SARS-CoV-2 (GenBank accession number YP_009724390.1) were used to create computational 3D models for the native spike proteins. Specific mutations were introduced to the curated sequence to generate the different variant spike models. The neutralization potential of sotrovimab (S309) against these variants was evaluated based on its molecular interactions and Gibbs free energy in comparison to a reference model after molecular replacement of the reference receptor-binding domain with the variant's receptor-binding domain.

Results: Our results show a loss in the binding affinity of the neutralizing antibody S309 with both SARS-CoV and SARS-CoV-2. The binding affinity of S309 was greater to the Alpha, Beta, Gamma, and Kappa variants than to the original Wuhan strain of SARS-CoV-2. However, S309 showed a substantially decreased binding affinity to the Delta and Omicron variants. Based on the mutational profile of Omicron subvariants, our data describe the effect of the G339H and G339D mutations and their role in escaping antibody neutralization, which is in line with published clinical reports.

Conclusions: This method is rapid, applicable, and of interest to adapt the use of therapeutic antibodies to the treatment of emerging variants. It could be applied to antibody-based treatment of other viral infections.

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