Graham Jessica B, Swarts Jessica L, Leist Sarah R, Schäfer Alexandra, Menachery Vineet D, Gralinski Lisa E, Jeng Sophia, Miller Darla R, Mooney Michael A, McWeeney Shannon K, Ferris Martin T, de Villena Fernando Pardo-Manuel, Heise Mark T, Baric Ralph S, Lund Jennifer M
Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
bioRxiv. 2020 Sep 21:2020.09.21.306837. doi: 10.1101/2020.09.21.306837.
The COVID-19 pandemic has revealed that infection with SARS-CoV-2 can result in a wide range of clinical outcomes in humans, from asymptomatic or mild disease to severe disease that can require mechanical ventilation. An incomplete understanding of immune correlates of protection represents a major barrier to the design of vaccines and therapeutic approaches to prevent infection or limit disease. This deficit is largely due to the lack of prospectively collected, pre-infection samples from indiviuals that go on to become infected with SARS-CoV-2. Here, we utilized data from a screen of genetically diverse mice from the Collaborative Cross (CC) infected with SARS-CoV to determine whether circulating baseline T cell signatures are associated with a lack of viral control and severe disease upon infection. SARS-CoV infection of CC mice results in a variety of viral load trajectories and disease outcomes. Further, early control of virus in the lung correlates with an increased abundance of activated CD4 and CD8 T cells and regulatory T cells prior to infections across strains. A basal propensity of T cells to express IFNg and IL17 over TNFa also correlated with early viral control. Overall, a dysregulated, pro-inflammatory signature of circulating T cells at baseline was associated with severe disease upon infection. While future studies of human samples prior to infection with SARS-CoV-2 are required, our studies in mice with SARS-CoV serve as proof of concept that circulating T cell signatures at baseline can predict clinical and virologic outcomes upon SARS-CoV infection. Identification of basal immune predictors in humans could allow for identification of individuals at highest risk of severe clinical and virologic outcomes upon infection, who may thus most benefit from available clinical interventions to restrict infection and disease.
We used a screen of genetically diverse mice from the Collaborative Cross infected with mouse-adapted SARS-CoV in combination with comprehensive pre-infection immunophenotyping to identify baseline circulating immune correlates of severe virologic and clinical outcomes upon SARS-CoV infection.
2019冠状病毒病大流行表明,感染严重急性呼吸综合征冠状病毒2(SARS-CoV-2)可导致人类出现广泛的临床结果,从无症状或轻症疾病到可能需要机械通气的重症疾病。对保护性免疫相关因素的不完全理解是设计预防感染或限制疾病的疫苗和治疗方法的主要障碍。这一缺陷很大程度上是由于缺乏对后续感染SARS-CoV-2的个体进行前瞻性收集的感染前样本。在此,我们利用来自协作杂交(CC)的基因多样化小鼠感染SARS-CoV的筛选数据,以确定循环基线T细胞特征是否与感染后病毒控制不佳和重症疾病相关。CC小鼠感染SARS-CoV会导致多种病毒载量轨迹和疾病结果。此外,肺部病毒的早期控制与各品系感染前活化的CD4和CD8 T细胞以及调节性T细胞丰度增加相关。T细胞在基线时表达IFNg和IL17而非TNFa的基础倾向也与病毒早期控制相关。总体而言,基线时循环T细胞失调的促炎特征与感染后的重症疾病相关。虽然需要对感染SARS-CoV-2之前的人类样本进行进一步研究,但我们对感染SARS-CoV的小鼠的研究作为概念验证,表明基线时循环T细胞特征可预测SARS-CoV感染后的临床和病毒学结果。识别人类的基础免疫预测指标可以识别出感染后出现严重临床和病毒学结果风险最高的个体,因此这些个体可能最受益于现有的限制感染和疾病的临床干预措施。
我们利用对协作杂交的基因多样化小鼠感染适应小鼠的SARS-CoV的筛选,并结合全面的感染前免疫表型分析,来识别SARS-CoV感染后严重病毒学和临床结果的基线循环免疫相关因素。