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纵向蛋白质组学分析为深入了解 COVID-19 进展过程中的宿主反应和蛋白质组动态提供了线索。

Longitudinal proteomic profiling provides insights into host response and proteome dynamics in COVID-19 progression.

机构信息

Department of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.

Proteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea.

出版信息

Proteomics. 2021 Jun;21(11-12):e2000278. doi: 10.1002/pmic.202000278. Epub 2021 May 14.

Abstract

In managing patients with coronavirus disease 2019 (COVID-19), early identification of those at high risk and real-time monitoring of disease progression to severe COVID-19 is a major challenge. We aimed to identify potential early prognostic protein markers and to expand understanding of proteome dynamics during clinical progression of the disease. We performed in-depth proteome profiling on 137 sera, longitudinally collected from 25 patients with COVID-19 (non-severe patients, n = 13; patients who progressed to severe COVID-19, n = 12). We identified 11 potential biomarkers, including the novel markers IGLV3-19 and BNC2, as early potential prognostic indicators of severe COVID-19. These potential biomarkers are mainly involved in biological processes associated with humoral immune response, interferon signalling, acute phase response, lipid metabolism, and platelet degranulation. We further revealed that the longitudinal changes of 40 proteins persistently increased or decreased as the disease progressed to severe COVID-19. These 40 potential biomarkers could effectively reflect the clinical progression of the disease. Our findings provide some new insights into host response to SARS-CoV-2 infection, which are valuable for understanding of COVID-19 disease progression. This study also identified potential biomarkers that could be further validated, which may support better predicting and monitoring progression to severe COVID-19.

摘要

在管理 2019 冠状病毒病(COVID-19)患者时,早期识别高危人群并实时监测疾病向重症 COVID-19 的进展是一个主要挑战。我们旨在确定潜在的早期预后蛋白标志物,并扩展对疾病临床进展过程中蛋白质组动态的理解。我们对 25 例 COVID-19 患者(非重症患者,n = 13;进展为重症 COVID-19 的患者,n = 12)的 137 份血清进行了深入的蛋白质组谱分析。我们确定了 11 个潜在的生物标志物,包括新的标志物 IGLV3-19 和 BNC2,它们是重症 COVID-19 的早期潜在预后指标。这些潜在的生物标志物主要涉及与体液免疫反应、干扰素信号、急性期反应、脂质代谢和血小板脱颗粒相关的生物学过程。我们进一步揭示,随着疾病进展为重症 COVID-19,40 种蛋白质的纵向变化持续增加或减少。这 40 个潜在的生物标志物可以有效地反映疾病的临床进展。我们的研究结果为宿主对 SARS-CoV-2 感染的反应提供了一些新的见解,这对于理解 COVID-19 疾病的进展具有重要价值。本研究还鉴定了一些潜在的生物标志物,可以进一步验证,这可能有助于更好地预测和监测向重症 COVID-19 的进展。

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