Suppr超能文献

异源 Sarbecovirus 受体结合结构域作为 SARS-CoV-2 受体结合基序呈现的支架。

Heterologous Sarbecovirus Receptor Binding Domains as Scaffolds for SARS-CoV-2 Receptor Binding Motif Presentation.

机构信息

Ragon Institute of Mass General, MIT, and Harvard, Cambridge, Massachusetts 02139, United States.

Department of Microbiology, Harvard Medical School, Boston, Massachusetts 02115, United States.

出版信息

ACS Infect Dis. 2024 Feb 9;10(2):553-561. doi: 10.1021/acsinfecdis.3c00483. Epub 2024 Jan 28.

Abstract

Structure-guided rational immunogen design can generate optimized immunogens that elicit a desired humoral response. Design strategies often center on targeting conserved sites on viral glycoproteins that will ultimately confer potent neutralization. For SARS-CoV-2 (SARS-2), the surface-exposed spike glycoprotein includes a broadly conserved portion, the receptor binding motif (RBM), that is required to engage the host cellular receptor, ACE2. Expanding humoral responses to this site may result in a more potent neutralizing antibody response against diverse sarbecoviruses. Here, we used a "resurfacing" approach and iterative design cycles to graft the SARS-2 RBM onto heterologous sarbecovirus scaffolds. The scaffolds were selected to vary the antigenic distance relative to SARS-2 to potentially focus responses to RBM. Multimerized versions of these immunogens elicited broad neutralization against sarbecoviruses in the context of preexisting SARS-2 immunity. These validated engineering approaches can help inform future immunogen design efforts for sarbecoviruses and are generally applicable to other viruses.

摘要

结构导向的合理免疫原设计可以产生优化的免疫原,引发所需的体液免疫反应。设计策略通常集中在针对病毒糖蛋白上保守的靶位,这些靶位最终将赋予强大的中和能力。对于 SARS-CoV-2(SARS-2),表面暴露的刺突糖蛋白包括一个广泛保守的部分,即受体结合基序(RBM),这是与宿主细胞受体 ACE2 结合所必需的。扩大对该部位的体液反应可能会导致针对多种沙贝科病毒产生更有效的中和抗体反应。在这里,我们使用了“表面重排”方法和迭代设计循环,将 SARS-2 的 RBM 嫁接到异源沙贝科病毒支架上。选择这些支架来改变相对于 SARS-2 的抗原距离,以潜在地将反应集中在 RBM 上。这些免疫原的多聚体版本在预先存在的 SARS-2 免疫的背景下引发了针对沙贝科病毒的广泛中和反应。这些经过验证的工程方法可以为沙贝科病毒的未来免疫原设计工作提供信息,并普遍适用于其他病毒。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3913/10862550/6fbc9a9364aa/id3c00483_0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验