慢性炎症、中性粒细胞活性和自身反应性将长新冠一分为二。
Chronic inflammation, neutrophil activity, and autoreactivity splits long COVID.
机构信息
Department of Medicine, Division of Rheumatology, Lowance Center for Human Immunology, Emory University, Atlanta, GA, USA.
Emory Autoimmunity Center of Excellence, Emory University, Atlanta, GA, USA.
出版信息
Nat Commun. 2023 Jul 14;14(1):4201. doi: 10.1038/s41467-023-40012-7.
While immunologic correlates of COVID-19 have been widely reported, their associations with post-acute sequelae of COVID-19 (PASC) remain less clear. Due to the wide array of PASC presentations, understanding if specific disease features associate with discrete immune processes and therapeutic opportunities is important. Here we profile patients in the recovery phase of COVID-19 via proteomics screening and machine learning to find signatures of ongoing antiviral B cell development, immune-mediated fibrosis, and markers of cell death in PASC patients but not in controls with uncomplicated recovery. Plasma and immune cell profiling further allow the stratification of PASC into inflammatory and non-inflammatory types. Inflammatory PASC, identifiable through a refined set of 12 blood markers, displays evidence of ongoing neutrophil activity, B cell memory alterations, and building autoreactivity more than a year post COVID-19. Our work thus helps refine PASC categorization to aid in both therapeutic targeting and epidemiological investigation of PASC.
虽然 COVID-19 的免疫学相关内容已被广泛报道,但它们与 COVID-19 后急性后遗症 (PASC) 的关联仍不太清楚。由于 PASC 的表现多种多样,了解特定的疾病特征是否与离散的免疫过程和治疗机会相关非常重要。在这里,我们通过蛋白质组学筛选和机器学习来描绘 COVID-19 恢复期患者的特征,以寻找 PASC 患者而非无并发症恢复对照者中持续抗病毒 B 细胞发育、免疫介导纤维化和细胞死亡标志物的特征。血浆和免疫细胞分析进一步允许将 PASC 分为炎症和非炎症两种类型。通过一套 12 个血液标志物,可以识别出炎症性 PASC,其表现为持续的中性粒细胞活性、B 细胞记忆改变以及 COVID-19 后一年多出现自身反应性。因此,我们的工作有助于完善 PASC 的分类,以帮助对 PASC 进行治疗靶向和流行病学研究。