School of Medicine, Royal College of Surgeons in Ireland, Bahrain; School of Medicine, Keele University, ST5 5BG, UK.
School of Medicine, Keele University, ST5 5BG, UK; School of Pharmacy and Bioengineering, Keele University, ST5 5BG, UK; Wolfson Centre for Inherited Neuromuscular Disease, TORCH Building, RJAH Orthopaedic Hospital, Oswestry SY10 7AG, UK.
Cytokine. 2022 Nov;159:156011. doi: 10.1016/j.cyto.2022.156011. Epub 2022 Aug 29.
With the rising demand for improved COVID-19 disease monitoring and prognostic markers, studies have aimed to identify biomarkers using a range of screening methods. However, the selection of biomarkers for validation from large datasets may result in potentially important biomarkers being overlooked when datasets are considered in isolation. Here, we have utilized a meta-summary approach to investigate COVID-19 biomarker datasets to identify conserved biomarkers of COVID-19 severity. This approach identified a panel of 17 proteins that showed a consistent direction of change across two or more datasets. Furthermore, bioinformatics analysis of these proteins highlighted a range of enriched biological processes that include inflammatory responses and compromised integrity of physiological systems including cardiovascular, neurological, and metabolic. A panel of upstream regulators of the COVID-19 severity biomarkers were identified, including chemical compounds currently under investigation for COVID-19 treatment. One of the upstream regulators, interleukin 6 (IL6), was identified as a "master regulator" of the severity biomarkers. COVID-19 disease severity is intensified due to the extreme viral immunological reaction that results in increased inflammatory biomarkers and cytokine storm. Since IL6 is the primary stimulator of cytokines, it could be used independently as a biomarker in determining COVID-19 disease progression, in addition to a potential therapeutic approach targeting IL6. The array of upstream regulators of the severity biomarkers identified here serve as attractive candidates for the development of new therapeutic approaches to treating COVID-19. In addition, the findings from this study highlight COVID-19 severity biomarkers which represent promising, robust biomarkers for future validation studies for their use in defining and monitoring disease severity and patient prognosis.
随着对改善 COVID-19 疾病监测和预后标志物的需求不断增加,研究旨在使用多种筛选方法来确定生物标志物。然而,从大型数据集选择用于验证的生物标志物时,当数据集被孤立考虑时,可能会忽略潜在重要的生物标志物。在这里,我们利用元综合方法来研究 COVID-19 生物标志物数据集,以确定 COVID-19 严重程度的保守生物标志物。这种方法确定了一组 17 种蛋白质,这些蛋白质在两个或更多数据集上显示出一致的变化方向。此外,对这些蛋白质的生物信息学分析突出了一系列丰富的生物学过程,包括炎症反应和包括心血管、神经和代谢在内的生理系统完整性受损。确定了一组 COVID-19 严重程度生物标志物的上游调节剂,包括目前正在研究用于 COVID-19 治疗的化学化合物。其中一种上游调节剂,白细胞介素 6 (IL6),被鉴定为严重程度生物标志物的“主调节剂”。COVID-19 疾病的严重程度因导致炎症生物标志物和细胞因子风暴增加的极端病毒免疫反应而加剧。由于 IL6 是细胞因子的主要刺激物,它可以作为一种独立的标志物用于确定 COVID-19 疾病的进展,除了作为靶向 IL6 的潜在治疗方法。在这里确定的严重程度生物标志物的上游调节剂阵列为开发治疗 COVID-19 的新治疗方法提供了有吸引力的候选物。此外,这项研究的结果强调了 COVID-19 严重程度生物标志物,它们代表了有前途的、稳健的生物标志物,可用于未来的验证研究,以定义和监测疾病严重程度和患者预后。