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COVID-19 适应性体液免疫模型:弱中和与抗体相关疾病增强情景。

COVID-19 Adaptive Humoral Immunity Models: Weakly Neutralizing Versus Antibody-Disease Enhancement Scenarios.

机构信息

School of Biomedical Sciences, University of Hong Kong, Hong Kong, China, 21 Sassoon Road, Pokfulam, 999077.

CEREMADE - ESPCI Paris PSL, Paris, France.

出版信息

Acta Biotheor. 2022 Aug 13;70(4):23. doi: 10.1007/s10441-022-09447-1.

Abstract

The interplay between the virus, infected cells and immune responses to SARS-CoV-2 is still under debate. By extending the basic model of viral dynamics, we propose here a formal approach to describe neutralisation versus weak (or non-)neutralisation scenarios and compare them with the possible effects of antibody-dependent enhancement (ADE). The theoretical model is consistent with the data available in the literature; we show that both weakly neutralising antibodies and ADE can result in final viral clearance or disease progression, but that the immunodynamics are different in each case. As a significant proportion of the world's population is already naturally immune or vaccinated, we also discuss the implications for secondary infections after vaccination or in the presence of immune system dysfunctions.

摘要

病毒、受感染细胞和针对 SARS-CoV-2 的免疫反应之间的相互作用仍存在争议。通过扩展病毒动力学的基本模型,我们在这里提出了一种正式的方法来描述中和与弱中和(或非中和)的情况,并将其与抗体依赖性增强(ADE)的可能影响进行比较。该理论模型与文献中可用的数据一致;我们表明,弱中和抗体和 ADE 都可能导致最终清除病毒或疾病进展,但在每种情况下免疫动力学是不同的。由于世界上相当一部分人口已经自然免疫或接种了疫苗,我们还讨论了在接种疫苗或免疫系统功能障碍的情况下二次感染的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/130b/9375081/d2eb0caa3ec5/10441_2022_9447_Fig1_HTML.jpg

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