tetano
Editor, Senior Moderator
Immunity
. 2020 Oct 20;S1074-7613(20)30449-0.
doi: 10.1016/j.immuni.2020.10.008. Online ahead of print.
Plasma Proteomics Identify Biomarkers and Pathogenesis of COVID-19
Ting Shu[SUP] 1 [/SUP], Wanshan Ning[SUP] 2 [/SUP], Di Wu[SUP] 3 [/SUP], Jiqian Xu[SUP] 4 [/SUP], Qiangqiang Han[SUP] 5 [/SUP], Muhan Huang[SUP] 3 [/SUP], Xiaojing Zou[SUP] 4 [/SUP], Qingyu Yang[SUP] 1 [/SUP], Yang Yuan[SUP] 6 [/SUP], Yuanyuan Bie[SUP] 7 [/SUP], Shangwen Pan[SUP] 4 [/SUP], Jingfang Mu[SUP] 3 [/SUP], Yang Han[SUP] 1 [/SUP], Xiaobo Yang[SUP] 4 [/SUP], Hong Zhou[SUP] 6 [/SUP], Ruiting Li[SUP] 4 [/SUP], Yujie Ren[SUP] 3 [/SUP], Xi Chen[SUP] 5 [/SUP], Shanglong Yao[SUP] 8 [/SUP], Yang Qiu[SUP] 9 [/SUP], Ding-Yu Zhang[SUP] 10 [/SUP], Yu Xue[SUP] 11 [/SUP], You Shang[SUP] 12 [/SUP], Xi Zhou[SUP] 13 [/SUP]
Affiliations
Abstract
The coronavirus disease 2019 (COVID-19) pandemic is a global public health crisis. However, little is known about the pathogenesis and biomarkers of COVID-19. Here, we profiled host responses to COVID-19 by performing plasma proteomics of a cohort of COVID-19 patients, including non-survivors and survivors recovered from mild or severe symptoms, and uncovered numerous COVID-19-associated alterations of plasma proteins. We developed a machine-learning-based pipeline to identify 11 proteins as biomarkers and a set of biomarker combinations, which were validated by an independent cohort and accurately distinguished and predicted COVID-19 outcomes. Some of the biomarkers were further validated by enzyme-linked immunosorbent assay (ELISA) using a larger cohort. These markedly altered proteins, including the biomarkers, mediate pathophysiological pathways, such as immune or inflammatory responses, platelet degranulation and coagulation, and metabolism, that likely contribute to the pathogenesis. Our findings provide valuable knowledge about COVID-19 biomarkers and shed light on the pathogenesis and potential therapeutic targets of COVID-19.
Keywords: COVID-19; SARS-CoV-2; biomarkers; plasma; proteomics.
. 2020 Oct 20;S1074-7613(20)30449-0.
doi: 10.1016/j.immuni.2020.10.008. Online ahead of print.
Plasma Proteomics Identify Biomarkers and Pathogenesis of COVID-19
Ting Shu[SUP] 1 [/SUP], Wanshan Ning[SUP] 2 [/SUP], Di Wu[SUP] 3 [/SUP], Jiqian Xu[SUP] 4 [/SUP], Qiangqiang Han[SUP] 5 [/SUP], Muhan Huang[SUP] 3 [/SUP], Xiaojing Zou[SUP] 4 [/SUP], Qingyu Yang[SUP] 1 [/SUP], Yang Yuan[SUP] 6 [/SUP], Yuanyuan Bie[SUP] 7 [/SUP], Shangwen Pan[SUP] 4 [/SUP], Jingfang Mu[SUP] 3 [/SUP], Yang Han[SUP] 1 [/SUP], Xiaobo Yang[SUP] 4 [/SUP], Hong Zhou[SUP] 6 [/SUP], Ruiting Li[SUP] 4 [/SUP], Yujie Ren[SUP] 3 [/SUP], Xi Chen[SUP] 5 [/SUP], Shanglong Yao[SUP] 8 [/SUP], Yang Qiu[SUP] 9 [/SUP], Ding-Yu Zhang[SUP] 10 [/SUP], Yu Xue[SUP] 11 [/SUP], You Shang[SUP] 12 [/SUP], Xi Zhou[SUP] 13 [/SUP]
Affiliations
- PMID: 33128875
- PMCID: PMC7574896
- DOI: 10.1016/j.immuni.2020.10.008
Abstract
The coronavirus disease 2019 (COVID-19) pandemic is a global public health crisis. However, little is known about the pathogenesis and biomarkers of COVID-19. Here, we profiled host responses to COVID-19 by performing plasma proteomics of a cohort of COVID-19 patients, including non-survivors and survivors recovered from mild or severe symptoms, and uncovered numerous COVID-19-associated alterations of plasma proteins. We developed a machine-learning-based pipeline to identify 11 proteins as biomarkers and a set of biomarker combinations, which were validated by an independent cohort and accurately distinguished and predicted COVID-19 outcomes. Some of the biomarkers were further validated by enzyme-linked immunosorbent assay (ELISA) using a larger cohort. These markedly altered proteins, including the biomarkers, mediate pathophysiological pathways, such as immune or inflammatory responses, platelet degranulation and coagulation, and metabolism, that likely contribute to the pathogenesis. Our findings provide valuable knowledge about COVID-19 biomarkers and shed light on the pathogenesis and potential therapeutic targets of COVID-19.
Keywords: COVID-19; SARS-CoV-2; biomarkers; plasma; proteomics.