4.3 Review

Mass Spectrometry-Based Proteomics Research to Fight COVID-19: An Expert Review on Hopes and Challenges

期刊

OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY
卷 26, 期 1, 页码 19-34

出版社

MARY ANN LIEBERT, INC
DOI: 10.1089/omi.2021.0182

关键词

SARS-CoV-2; COVID-19; mass spectrometry; proteomics; biomarkers; public health

资金

  1. Proteomics Research Center
  2. Shahid Beheshti University of Medical Sciences

向作者/读者索取更多资源

This expert review critically analyzes the prospects and challenges of mass spectrometry-based proteomics approaches in COVID-19 research, discussing how proteomics can aid in the diagnosis and treatment of SARS-CoV-2 infection as well as the potential challenges for global health systems and services.
The COVID-19 pandemic caused by the severe acute respiratory syndrome (SARS)-CoV-2 infection is a systemic disease and a major planetary health burden. While SARS-CoV-2 impacts host biology extensively, our knowledge of these alterations from a systems perspective remains incomplete. Moreover, there is currently only a limited description of this systemic disease. For precision diagnosis and treatment of SARS-CoV-2, multiomics technologies and systems science research offer significant prospects. This expert review offers a critical analysis of the prospects and challenges of the emerging mass spectrometry-based proteomics approaches to the study of COVID-19 as seen through a systems medicine lens. We also discuss the ways in which proteomics is poised to offer hope for diagnostics and therapeutics innovation on SARS-CoV-2 infection as the disease transitions from a pandemic to an endemic disease, and thus further challenging the health systems and services worldwide in the coming decade. Proteomics is an important high-throughput technology platform to achieve a functional overview of the ways in which COVID-19 changes host biology, and hence, can help identify possible points of entry for innovation in medicines and vaccines, among others.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据