The role of multi-omics in the diagnosis of COVID-19 and the prediction of new therapeutic targets

被引：11

作者：

Ma, Jianli ^{[1
]}

Deng, Yuwei ^{[2
]}

Zhang, Minghui ^{[3
]}

Yu, Jinming ^{[1
]}

机构：

[1] Shandong Univ, Dept Radiat Oncol, Canc Ctr, 440 Jiyan Rd, Jinan 250117, Shandong, Peoples R China

[2] Harbin Med Univ, Canc Hosp, Dept Breast Med Oncol, Harbin, Heilongjiang, Peoples R China

[3] Harbin Med Univ, Canc Hosp, Dept Resp Med Oncol, Harbin 150081, Heilongjiang, Peoples R China

来源：

VIRULENCE | 2022年 / 13卷 / 01期

关键词：

COVID-19; multi-omics; genomics; transcriptomic; proteomics; metabolomics; SARS-COV-2; PATHOGENESIS; TMPRSS2; VIRUS; ACE2;

D O I：

10.1080/21505594.2022.2092941

中图分类号：

R392 [医学免疫学]; Q939.91 [免疫学];

学科分类号：

100102 ;

摘要：

The global pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus causing COVID-19, has led to more than 170 million confirmed cases in 223 countries and regions, claiming 3,872,457 lives. Some patients with COVID-19 have mild clinical symptoms despite severe respiratory failure, which greatly increases the difficulty of diagnosis and treatment. It is therefore necessary to identify biological characteristics of SARS-CoV-2, screen novel diagnostic and prognostic biomarkers, as well as to explore potential therapeutic targets for COVID-19. In this comprehensive review, we discuss the current published literature on COVID-19. We find that the comprehensive application of genomics, transcriptomics, proteomics and metabolomics is becoming increasingly important in the treatment of COVID-19. Multi-omics analysis platforms are expected to revolutionize the diagnosis and classification of COVID-19. This review aims to provide a reference for diagnosis, surveillance and clinical decision making related to COVID-19.

引用

页码：1101 / 1110

页数：10

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