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COVID-19 is a multisystem disease with highly variable clinical outcomes in hospitalized patients
.
Although some cytokines such as interleukin (IL)-6 are thought to correlate with disease severity, there are currently no early biomarkers that can accurately predict patient prognosis
.
On July 11, 2022, the top international journal Lancet Digital Health (IF 36.
625) published online the innovative research results of Seul Kee Byeon and other teams "Development of a multiomics model for identification of predictive biomarkers for COVID-19 severity: a retrospective cohort study".
"
.
Based on the multi-omics combined analysis of platforms such as Olink and mass spectrometry, the study developed a prediction model with 102 biomarkers, which can better predict the severity of COVID-19 compared with the traditional cytokine panel
.
.
Although some cytokines such as interleukin (IL)-6 are thought to correlate with disease severity, there are currently no early biomarkers that can accurately predict patient prognosis
.
On July 11, 2022, the top international journal Lancet Digital Health (IF 36.
625) published online the innovative research results of Seul Kee Byeon and other teams "Development of a multiomics model for identification of predictive biomarkers for COVID-19 severity: a retrospective cohort study".
"
.
Based on the multi-omics combined analysis of platforms such as Olink and mass spectrometry, the study developed a prediction model with 102 biomarkers, which can better predict the severity of COVID-19 compared with the traditional cytokine panel
.
Research materials technology route research results 1.
Olink proteome analysis
Figure 1 Olink proteomic analysis
2.
Metabolome Analysis
Figure 2 Metabolomics analysis
3.
Single Cell Transcriptome Analysis
Figure 3 Single-cell transcriptome analysis
4.
Complete N-glycopeptide proteome analysis
1523 3465 3895 402 11 72
Figure 4 Proteomic analysis of intact N-glycopeptide
5.
Multi-omics combined analysis
Figure 5 Multi-omics joint analysis
Xiaobian summary
