tetano
Editor, Senior Moderator
ACS Omega
. 2021 Jun 24;6(26):16826-16836.
doi: 10.1021/acsomega.1c01375. eCollection 2021 Jul 6.
SOD1 is a Possible Predictor of COVID-19 Progression as Revealed by Plasma Proteomics
Benhong Xu[SUP] 1 [/SUP], Yuxuan Lei[SUP] 1 2 [/SUP], Xiaohu Ren[SUP] 1 [/SUP], Feng Yin[SUP] 3 4 [/SUP], Weihua Wu[SUP] 1 [/SUP], Ying Sun[SUP] 1 [/SUP], Xiaohui Wang[SUP] 1 [/SUP], Qian Sun[SUP] 1 [/SUP], Xifei Yang[SUP] 1 [/SUP], Xin Wang[SUP] 1 [/SUP], Renli Zhang[SUP] 1 [/SUP], Zigang Li[SUP] 3 4 [/SUP], Shisong Fang[SUP] 1 [/SUP], Jianjun Liu[SUP] 1 [/SUP]
Affiliations
Abstract
The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a worldwide health emergency. Patients infected with SARS-CoV-2 present with diverse symptoms related to the severity of the disease. Determining the proteomic changes associated with these diverse symptoms and in different stages of infection is beneficial for clinical diagnosis and management. Here, we performed a tandem mass tag-labeling proteomic study on the plasma of healthy controls and COVID-19 patients, including those with asymptomatic infection (NS), mild syndrome, and severe syndrome in the early phase and the later phase. Although the number of patients included in each group is low, our comparative proteomic analysis revealed that complement and coagulation cascades, cholesterol metabolism, and glycolysis-related proteins were affected after infection with SARS-CoV-2. Compared to healthy controls, ELISA analysis confirmed that SOD1, PRDX2, and LDHA levels were increased in the patients with severe symptoms. Both gene set enrichment analysis and receiver operator characteristic analysis indicated that SOD1 could be a pivotal indicator for the severity of COVID-19. Our results indicated that plasma proteome changes differed based on the symptoms and disease stages and SOD1 could be a predictor protein for indicating COVID-19 progression. These results may also provide a new understanding for COVID-19 diagnosis and treatment.
. 2021 Jun 24;6(26):16826-16836.
doi: 10.1021/acsomega.1c01375. eCollection 2021 Jul 6.
SOD1 is a Possible Predictor of COVID-19 Progression as Revealed by Plasma Proteomics
Benhong Xu[SUP] 1 [/SUP], Yuxuan Lei[SUP] 1 2 [/SUP], Xiaohu Ren[SUP] 1 [/SUP], Feng Yin[SUP] 3 4 [/SUP], Weihua Wu[SUP] 1 [/SUP], Ying Sun[SUP] 1 [/SUP], Xiaohui Wang[SUP] 1 [/SUP], Qian Sun[SUP] 1 [/SUP], Xifei Yang[SUP] 1 [/SUP], Xin Wang[SUP] 1 [/SUP], Renli Zhang[SUP] 1 [/SUP], Zigang Li[SUP] 3 4 [/SUP], Shisong Fang[SUP] 1 [/SUP], Jianjun Liu[SUP] 1 [/SUP]
Affiliations
- PMID: 34250342
- PMCID: PMC8247781
- DOI: 10.1021/acsomega.1c01375
Abstract
The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a worldwide health emergency. Patients infected with SARS-CoV-2 present with diverse symptoms related to the severity of the disease. Determining the proteomic changes associated with these diverse symptoms and in different stages of infection is beneficial for clinical diagnosis and management. Here, we performed a tandem mass tag-labeling proteomic study on the plasma of healthy controls and COVID-19 patients, including those with asymptomatic infection (NS), mild syndrome, and severe syndrome in the early phase and the later phase. Although the number of patients included in each group is low, our comparative proteomic analysis revealed that complement and coagulation cascades, cholesterol metabolism, and glycolysis-related proteins were affected after infection with SARS-CoV-2. Compared to healthy controls, ELISA analysis confirmed that SOD1, PRDX2, and LDHA levels were increased in the patients with severe symptoms. Both gene set enrichment analysis and receiver operator characteristic analysis indicated that SOD1 could be a pivotal indicator for the severity of COVID-19. Our results indicated that plasma proteome changes differed based on the symptoms and disease stages and SOD1 could be a predictor protein for indicating COVID-19 progression. These results may also provide a new understanding for COVID-19 diagnosis and treatment.