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冠状病毒感染导致自身免疫和致死性的 T 细胞超敏反应的计算建模。

Computational Modeling of T Cell Hypersensitivity during Coronavirus Infections Leading to Autoimmunity and Lethality.

机构信息

Vienna University of Technology, Institute of Applied Physics, Wiedner Hauptstrasse 8-10/E134, 1040 Vienna, Austria.

Istanbul Technical University, College of Science and Letters, Molecular Biology and Genetics Department, Istanbul Technical University, Istanbul 34469, Turkey.

出版信息

Comput Math Methods Med. 2022 Mar 22;2022:9444502. doi: 10.1155/2022/9444502. eCollection 2022.

DOI:10.1155/2022/9444502
PMID:35341005
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8948601/
Abstract

The human angiotensin-converting enzyme 2 (hACE2) receptor is the primary receptor for SARS-CoV-2 infection. However, the presence of alternative receptors such as the transmembrane glycoprotein CD147 has been proposed as a potential route for SARS-CoV-2 infection. The outcomes of SARS-CoV-2 spike protein binding to receptors have been shown to vary among individuals. Additionally, some patients infected with SARS-CoV-2 develop autoimmune responses. Given that CD147 is involved in the hyperactivation of memory T cells resulting in autoimmunity, we investigated the interaction of the SARS-CoV-2 viral spike protein with CD147 receptor and retinal specific CD147 Ig0 domain in silico using molecular docking and molecular dynamics (MD) simulations. The results indicated that binding involves two critical residues Lys63 and Asp65 in a ubiquitous CD147 isoform, potentially leading to the hyperactivation of T cells for only SARS-CoV-2, but not for SARS-CoV or MERS-CoV. Overall binding was confirmed by docking simulations. Next, MD analyses were completed to verify the docking poses. Polar interactions suggested that the interaction via Lys63 and Asp65 might be one of the determinants associated with severe COVID-19 outcomes. Neither did SARS-CoV nor MERS-CoV bind to these two critical residues when molecular docking analyses were performed. Interestingly, SARS-CoV was able to bind to CD147 with a lower affinity (-4.5 kcal/mol) than SARS-CoV-2 (-5.6 kcal/mol). Furthermore, Delta and Omicron variants of SARS-CoV-2 did not affect the polar interactions with Lys63 and Asp65 in CD147. This study further strengthens the link between SARS-CoV-2 infection and autoimmune responses and provides novel insights for prudent antiviral drug designs for COVID-19 treatment that have implications in the prevention of T cell hyperactivation.

摘要

人类血管紧张素转换酶 2(hACE2)受体是 SARS-CoV-2 感染的主要受体。然而,跨膜糖蛋白 CD147 等替代受体的存在被认为是 SARS-CoV-2 感染的潜在途径。SARS-CoV-2 刺突蛋白与受体结合的结果在个体之间存在差异。此外,一些感染 SARS-CoV-2 的患者会产生自身免疫反应。鉴于 CD147 参与导致自身免疫的记忆 T 细胞的过度激活,我们使用分子对接和分子动力学(MD)模拟方法在计算机上研究了 SARS-CoV-2 病毒刺突蛋白与 CD147 受体和视网膜特异性 CD147 Ig0 结构域的相互作用。结果表明,结合涉及普遍存在的 CD147 同工型中的两个关键残基 Lys63 和 Asp65,可能导致仅针对 SARS-CoV-2 的 T 细胞过度激活,而不是针对 SARS-CoV 或 MERS-CoV。对接模拟证实了整体结合。接下来,完成了 MD 分析以验证对接构象。极性相互作用表明,通过 Lys63 和 Asp65 的相互作用可能是与严重 COVID-19 结果相关的决定因素之一。在进行分子对接分析时,SARS-CoV 和 MERS-CoV 均未与这两个关键残基结合。有趣的是,SARS-CoV 与 CD147 的结合亲和力(-4.5 kcal/mol)低于 SARS-CoV-2(-5.6 kcal/mol)。此外,SARS-CoV-2 的 Delta 和 Omicron 变体并未影响与 CD147 中 Lys63 和 Asp65 的极性相互作用。这项研究进一步加强了 SARS-CoV-2 感染与自身免疫反应之间的联系,并为 COVID-19 治疗的谨慎抗病毒药物设计提供了新的见解,这对预防 T 细胞过度激活具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b5/8948601/77a77a6e1069/CMMM2022-9444502.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b5/8948601/821c5d1c5398/CMMM2022-9444502.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b5/8948601/fe6235dd3bf2/CMMM2022-9444502.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b5/8948601/3678ae3719fc/CMMM2022-9444502.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b5/8948601/e98a8b67053f/CMMM2022-9444502.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b5/8948601/d4ed6f7c7dd6/CMMM2022-9444502.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b5/8948601/77a77a6e1069/CMMM2022-9444502.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b5/8948601/821c5d1c5398/CMMM2022-9444502.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b5/8948601/fe6235dd3bf2/CMMM2022-9444502.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b5/8948601/3678ae3719fc/CMMM2022-9444502.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b5/8948601/e98a8b67053f/CMMM2022-9444502.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b5/8948601/d4ed6f7c7dd6/CMMM2022-9444502.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40b5/8948601/77a77a6e1069/CMMM2022-9444502.006.jpg

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