Zhang Wei, Gorelik Aaron J, Wang Qing, Norton Sara A, Hershey Tamara, Agrawal Arpana, Bijsterbosch Janine D, Bogdan Ryan
Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Department of Psychological & Brain Sciences, Washington University, St. Louis, MO, United States.
Brain Behav Immun Health. 2023 Dec 30;36:100722. doi: 10.1016/j.bbih.2023.100722. eCollection 2024 Mar.
COVID-19 remains a significant international public health concern. Yet, the mechanisms through which symptomatology emerges remain poorly understood. While SARS-CoV-2 infection may induce prolonged inflammation within the central nervous system, the evidence primarily stems from limited small-scale case investigations. To address this gap, our study capitalized on longitudinal UK Biobank neuroimaging data acquired prior to and following COVID-19 testing (N = 416 including n = 224 COVID-19 cases; M = 58.6). Putative neuroinflammation was assessed in gray matter structures and white matter tracts using non-invasive Diffusion Basis Spectrum Imaging (DBSI), which estimates inflammation-related cellularity (DBSI-restricted fraction; DBSI-RF) and vasogenic edema (DBSI-hindered fraction; DBSI-HF). We hypothesized that COVID-19 case status would be associated with increases in DBSI markers after accounting for potential confound (age, sex, race, body mass index, smoking frequency, and data acquisition interval) and multiple testing. COVID-19 case status was not significantly associated with DBSI-RF (|β|'s < 0.28, p >0.05), but with greater DBSI-HF in left pre- and post-central gyri and right middle frontal gyrus (β's > 0.3, all p = 0.03). Intriguingly, the brain areas exhibiting increased putative vasogenic edema had previously been linked to COVID-19-related functional and structural alterations, whereas brain regions displaying subtle differences in cellularity between COVID-19 cases and controls included regions within or functionally connected to the olfactory network, which has been implicated in COVID-19 psychopathology. Nevertheless, our study might not have captured acute and transitory neuroinflammatory effects linked to SARS-CoV-2 infection, possibly due to symptom resolution before the imaging scan. Future research is warranted to explore the potential time- and symptom-dependent neuroinflammatory relationship with COVID-19.
新冠病毒病(COVID-19)仍然是一个重大的国际公共卫生问题。然而,症状出现的机制仍知之甚少。虽然严重急性呼吸综合征冠状病毒2(SARS-CoV-2)感染可能会在中枢神经系统内引发长期炎症,但证据主要来自有限的小规模病例调查。为了填补这一空白,我们的研究利用了英国生物银行在COVID-19检测之前和之后获取的纵向神经影像数据(N = 416,包括n = 224例COVID-19病例;M = 58.6)。使用非侵入性扩散基谱成像(DBSI)评估灰质结构和白质束中的假定神经炎症,该成像可估计与炎症相关的细胞密度(DBSI限制分数;DBSI-RF)和血管源性水肿(DBSI阻碍分数;DBSI-HF)。我们假设,在考虑潜在混杂因素(年龄、性别、种族、体重指数、吸烟频率和数据采集间隔)和多重检验后,COVID-19病例状态将与DBSI标记物的增加相关。COVID-19病例状态与DBSI-RF无显著相关性(|β| < 0.28,p > 0.05),但与左侧中央前回和中央后回以及右侧额中回的DBSI-HF增加有关(β > 0.3,所有p = 0.03)。有趣的是,显示假定血管源性水肿增加的脑区此前已与COVID-19相关的功能和结构改变有关,而COVID-19病例与对照组之间细胞密度存在细微差异的脑区包括嗅觉网络内或与其功能相连的区域,这与COVID-19精神病理学有关。然而,我们的研究可能未捕捉到与SARS-CoV-2感染相关的急性和短暂神经炎症效应,这可能是由于在成像扫描前症状已缓解。有必要进行未来研究,以探索与COVID-19潜在的时间和症状依赖性神经炎症关系。