Department of Immunology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland.
Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
Science. 2024 Jan 19;383(6680):eadg7942. doi: 10.1126/science.adg7942.
Long Covid is a debilitating condition of unknown etiology. We performed multimodal proteomics analyses of blood serum from COVID-19 patients followed up to 12 months after confirmed severe acute respiratory syndrome coronavirus 2 infection. Analysis of >6500 proteins in 268 longitudinal samples revealed dysregulated activation of the complement system, an innate immune protection and homeostasis mechanism, in individuals experiencing Long Covid. Thus, active Long Covid was characterized by terminal complement system dysregulation and ongoing activation of the alternative and classical complement pathways, the latter associated with increased antibody titers against several herpesviruses possibly stimulating this pathway. Moreover, markers of hemolysis, tissue injury, platelet activation, and monocyte-platelet aggregates were increased in Long Covid. Machine learning confirmed complement and thromboinflammatory proteins as top biomarkers, warranting diagnostic and therapeutic interrogation of these systems.
长新冠是一种病因不明的使人虚弱的疾病。我们对 268 份纵向样本中的超过 6500 种蛋白质进行了分析,这些样本来自于在确诊严重急性呼吸综合征冠状病毒 2 感染后随访 12 个月的新冠患者。研究发现,在经历长新冠的个体中,补体系统(一种先天免疫保护和稳态机制)被失调激活。因此,活动性长新冠的特征是末端补体系统失调和经典及替代补体途径持续激活,后者与针对几种疱疹病毒的抗体滴度增加有关,这可能刺激了该途径。此外,长新冠患者的溶血性标志物、组织损伤标志物、血小板激活标志物和单核细胞-血小板聚集体标志物增加。机器学习证实补体和血栓炎症蛋白是顶级生物标志物,值得对这些系统进行诊断和治疗探索。