Grimm Lauren, Onyeukwu Chinyere, Kenny Grace, Parent Danielle M, Fu Jia, Dhingra Shaurya, Yang Emily, Moy James, Utz P J, Tracy Russell, Landay Alan
Department of Internal Medicine, RUSH University Medical Center, Chicago, IL.
Centre for Experimental Pathogen Host Research, University College Dublin, Ireland; Department of Infectious Diseases, St Vincent's University Hospital, Dublin, Ireland.
Pathog Immun. 2023 Feb 20;7(2):143-170. doi: 10.20411/pai.v7i2.537. eCollection 2022.
Neutralizing antibodies have been shown to develop rapidly following SARS-CoV-2 infection, specifically against spike (S) protein, where cytokine release and production is understood to drive the humoral immune response during acute infection. Thus, we evaluated the quantity and function of antibodies across disease severities and analyzed the associated inflammatory and coagulation pathways to identify acute markers that correlate with antibody response following infection.
Blood samples were collected from patients at time of diagnostic SARS-CoV-2 PCR testing between March 2020-November 2020. Plasma samples were analyzed using the MesoScale Discovery (MSD) Platform using the COVID-19 Serology Kit and U-Plex 8 analyte multiplex plate to measure anti-alpha and beta coronavirus antibody concentration and ACE2 blocking function, as well as plasma cytokines.
A total of 230 (181 unique patients) samples were analyzed across the 5 COVID-19 disease severities. We found that antibody quantity directly correlated with functional ability to block virus binding to membrane-bound ACE2, where a lower SARS-CoV-2 anti-spike/anti-RBD response corresponded with a lower antibody blocking potential compared to higher antibody response (anti-S1 r = 0.884, < 0.001; anti-RBD r = 0.75, < 0.001). Across all the soluble proinflammatory markers we examined, ICAM, IL-1β, IL-4, IL-6, TNFα, and Syndecan showed a statistically significant positive correlation between cytokine or epithelial marker and antibody quantity regardless of COVID-19 disease severity. Analysis of autoantibodies against type 1 interferon was not shown to be statistically significant between disease severity groups.
Previous studies have shown that proinflammatory markers, including IL-6, IL-8, IL-1β, and TNFα, are significant predictors of COVID-19 disease severity, regardless of demographics or comorbidities. Our study demonstrated that not only are these proinflammatory markers, as well as IL-4, ICAM, and Syndecan, correlative of disease severity, they are also correlative of antibody quantity and quality following SARS-CoV-2 exposure.
已证明中和抗体在感染严重急性呼吸综合征冠状病毒2(SARS-CoV-2)后迅速产生,特别是针对刺突(S)蛋白,据了解,细胞因子释放和产生在急性感染期间驱动体液免疫反应。因此,我们评估了不同疾病严重程度下抗体的数量和功能,并分析了相关的炎症和凝血途径,以确定与感染后抗体反应相关的急性标志物。
在2020年3月至2020年11月期间,在患者进行SARS-CoV-2诊断性聚合酶链反应(PCR)检测时采集血样。使用中尺度发现(MSD)平台,通过新冠病毒血清学检测试剂盒和U-Plex 8分析物多重检测板对血浆样本进行分析,以测量抗α和β冠状病毒抗体浓度、血管紧张素转换酶2(ACE2)阻断功能以及血浆细胞因子。
共对5种新冠病毒疾病严重程度的230份(181名不同患者)样本进行了分析。我们发现抗体数量与阻断病毒与膜结合ACE2结合的功能能力直接相关,与较高抗体反应相比,较低的SARS-CoV-2抗刺突/抗受体结合域(RBD)反应对应较低的抗体阻断潜力(抗S1 r = 0.884,P < 0.001;抗RBD r = 0.75,P < 0.001)。在我们检测的所有可溶性促炎标志物中,细胞间黏附分子(ICAM)、白细胞介素-1β(IL-1β)、白细胞介素-4(IL-4)、白细胞介素-6(IL-6)、肿瘤坏死因子α(TNFα)和多配体蛋白聚糖,无论新冠病毒疾病严重程度如何,细胞因子或上皮标志物与抗体数量之间均呈现出统计学上显著的正相关。在疾病严重程度组之间,针对1型干扰素的自身抗体分析未显示出统计学意义。
先前的研究表明,促炎标志物,包括IL-6、IL-8、IL-1β和TNFα,是新冠病毒疾病严重程度的重要预测指标,与人口统计学或合并症无关。我们的研究表明,这些促炎标志物以及IL-4、ICAM和多配体蛋白聚糖不仅与疾病严重程度相关,还与SARS-CoV-2暴露后的抗体数量和质量相关。