Yu Mingjia, Zhang Tianji, Zhang Wei, Sun Qianyun, Li Hongmei, Li Jin-Ping
Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China.
Division of Chemistry and Analytical Science, National Institute of Metrology, Beijing, China.
Front Mol Biosci. 2021 Jan 25;7:628551. doi: 10.3389/fmolb.2020.628551. eCollection 2020.
Owing to the high mortality and the spread rate, the infectious disease caused by SARS-CoV-2 has become a major threat to public health and social economy, leading to over 70 million infections and 1. 6 million deaths to date. Since there are currently no effective therapeutic or widely available vaccines, it is of urgent need to look for new strategies for the treatment of SARS-CoV-2 infection diseases. Binding of a viral protein onto cell surface heparan sulfate (HS) is generally the first step in a cascade of interaction that is required for viral entry and the initiation of infection. Meanwhile, interactions of selectins and cytokines (e.g., IL-6 and TNF-α) with HS expressed on endothelial cells are crucial in controlling the recruitment of immune cells during inflammation. Thus, structurally defined heparin/HS and their mimetics might serve as potential drugs by competing with cell surface HS for the prevention of viral adhesion and modulation of inflammatory reaction. In this review, we will elaborate coronavirus invasion mechanisms and summarize the latest advances in HS-protein interactions, especially proteins relevant to the process of coronavirus infection and subsequent inflammation. Experimental and computational techniques involved will be emphasized.
由于高死亡率和传播速度,由严重急性呼吸综合征冠状病毒2(SARS-CoV-2)引起的传染病已成为对公众健康和社会经济的重大威胁,迄今为止已导致超过7000万例感染和160万人死亡。由于目前尚无有效的治疗方法或广泛可用的疫苗,迫切需要寻找治疗SARS-CoV-2感染疾病的新策略。病毒蛋白与细胞表面硫酸乙酰肝素(HS)的结合通常是病毒进入和感染起始所需的一系列相互作用中的第一步。同时,选择素和细胞因子(如白细胞介素-6和肿瘤坏死因子-α)与内皮细胞上表达的HS之间的相互作用对于控制炎症期间免疫细胞的募集至关重要。因此,结构明确的肝素/HS及其模拟物可能通过与细胞表面HS竞争来预防病毒粘附和调节炎症反应,从而作为潜在药物。在这篇综述中,我们将阐述冠状病毒的入侵机制,并总结HS-蛋白相互作用的最新进展,特别是与冠状病毒感染及后续炎症过程相关的蛋白。将重点介绍所涉及的实验和计算技术。