The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, VIC, 3052, Australia.
Department of Medical Biology, The University of Melbourne, Melbourne, VIC, 3052, Australia.
Mol Med. 2021 Dec 20;27(1):160. doi: 10.1186/s10020-021-00422-z.
COVID-19 clinical presentation differs considerably between individuals, ranging from asymptomatic, mild/moderate and severe disease which in some cases are fatal or result in long-term effects. Identifying immune mechanisms behind severe disease development informs screening strategies to predict who are at greater risk of developing life-threatening complications. However, to date clear prognostic indicators of individual risk of severe or long COVID remain elusive. Autoantibodies recognize a range of self-antigens and upon antigen recognition and binding, important processes involved in inflammation, pathogen defence and coagulation are modified. Recent studies report a significantly higher prevalence of autoantibodies that target immunomodulatory proteins including cytokines, chemokines, complement components, and cell surface proteins in COVID-19 patients experiencing severe disease compared to those who experience mild or asymptomatic infections. Here we discuss the diverse impacts of autoantibodies on immune processes and associations with severe COVID-19 disease.
COVID-19 的临床表现个体差异很大,从无症状、轻症/中症到重症不等,某些情况下会导致死亡或留下长期影响。了解重症疾病发展背后的免疫机制,可以为预测哪些人有更大风险患上危及生命的并发症提供筛选策略。然而,迄今为止,严重或长期 COVID 的个体风险的明确预后指标仍难以捉摸。自身抗体可识别一系列自身抗原,在抗原识别和结合后,炎症、病原体防御和凝血等重要过程会发生改变。最近的研究报告称,与经历轻症或无症状感染的 COVID-19 患者相比,在经历重症疾病的患者中,靶向免疫调节蛋白(包括细胞因子、趋化因子、补体成分和细胞表面蛋白)的自身抗体的患病率显著更高。在这里,我们讨论了自身抗体对免疫过程的多种影响及其与严重 COVID-19 疾病的关联。