High-throughput approaches of diagnosis and therapies for COVID-19: antibody panels, proteomics and metabolomics

Rwik Sen
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引用次数: 11

Abstract

The urgent need for diagnostics and therapeutics against the COVID-19 pandemic has shown the great potential of antibodies, proteomics and metabolomics in this direction. Several clinical trials are underway using antibodies from COVID-19 patients that show very specific and strong binding to viral proteins leading to neutralization. On the other hand, proteomic and metabolomic profiles of COVID-19 patients present novel diagnostic biomarkers to predict patient outcomes and enable the development of personalized therapeutics to target the dysregulated pathways, as revealed by those profiles. Here, we discuss how studies based on antibodies, proteomics and metabolomics contribute to the development of diagnostics and therapeutics against COVID-19. The elegant technology can extend to high-throughput, rapid and reliable drug discovery strategies of the future.
COVID-19的高通量诊断和治疗方法:抗体检测、蛋白质组学和代谢组学
对COVID-19大流行诊断和治疗方法的迫切需求表明,抗体、蛋白质组学和代谢组学在这方面具有巨大潜力。目前正在进行几项临床试验,使用来自COVID-19患者的抗体,这些抗体显示出与病毒蛋白的非常特异性和强结合,从而实现中和。另一方面,COVID-19患者的蛋白质组学和代谢组学谱提供了新的诊断生物标志物,可以预测患者的预后,并使个性化治疗的开发能够针对这些失调的途径。在这里,我们将讨论基于抗体、蛋白质组学和代谢组学的研究如何促进COVID-19诊断和治疗方法的发展。这种优雅的技术可以扩展到未来的高通量、快速和可靠的药物发现策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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