Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
NIHR BioResource Centre Maudsley, NIHR Maudsley Biomedical Research Centre (BRC) at South London and Maudsley NHS Foundation Trust (SLaM) & Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, De Crespigny Park, London, SE5 8AF, UK.
Sci Rep. 2021 Mar 18;11(1):6357. doi: 10.1038/s41598-021-85877-0.
The recent SARS-CoV-2 pandemic manifests itself as a mild respiratory tract infection in most individuals, leading to COVID-19 disease. However, in some infected individuals, this can progress to severe pneumonia and acute respiratory distress syndrome (ARDS), leading to multi-organ failure and death. This study explores the proteomic differences between mild, severe, and critical COVID-19 positive patients to further understand the disease progression, identify proteins associated with disease severity, and identify potential therapeutic targets. Blood protein profiling was performed on 59 COVID-19 mild (n = 26), severe (n = 9) or critical (n = 24) cases and 28 controls using the OLINK inflammation, autoimmune, cardiovascular and neurology panels. Differential expression analysis was performed within and between disease groups to generate nine different analyses. From the 368 proteins measured per individual, more than 75% were observed to be significantly perturbed in COVID-19 cases. Six proteins (IL6, CKAP4, Gal-9, IL-1ra, LILRB4 and PD-L1) were identified to be associated with disease severity. The results have been made readily available through an interactive web-based application for instant data exploration and visualization, and can be accessed at https://phidatalab-shiny.rosalind.kcl.ac.uk/COVID19/ . Our results demonstrate that dynamic changes in blood proteins associated with disease severity can potentially be used as early biomarkers to monitor disease severity in COVID-19 and serve as potential therapeutic targets.
最近的 SARS-CoV-2 大流行在大多数个体中表现为轻度呼吸道感染,导致 COVID-19 疾病。然而,在一些感染个体中,这可能进展为严重肺炎和急性呼吸窘迫综合征(ARDS),导致多器官衰竭和死亡。本研究通过比较 COVID-19 轻症(n=26)、重症(n=9)和危重症(n=24)患者与 28 名对照患者的蛋白质组差异,以进一步了解疾病进展,鉴定与疾病严重程度相关的蛋白,并鉴定潜在的治疗靶点。使用 OLINK 炎症、自身免疫、心血管和神经病学面板对 59 例 COVID-19 患者(轻症 n=26、重症 n=9 或危重症 n=24)和 28 名对照患者的血液蛋白进行了蛋白谱分析。在疾病组内和组间进行差异表达分析,生成了九种不同的分析。在个体中测量的 368 种蛋白质中,超过 75%的蛋白质被观察到在 COVID-19 病例中明显受到干扰。有 6 种蛋白(IL6、CKAP4、Gal-9、IL-1ra、LILRB4 和 PD-L1)与疾病严重程度相关。研究结果已通过一个交互式的基于网络的应用程序提供,可用于即时数据探索和可视化,网址为 https://phidatalab-shiny.rosalind.kcl.ac.uk/COVID19/ 。我们的研究结果表明,与疾病严重程度相关的血液蛋白的动态变化可能被用作监测 COVID-19 疾病严重程度的早期生物标志物,并作为潜在的治疗靶点。