Multiomics analysis identifies immunobiomarkers for COVID-19 severity in outpatients

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Multiomics analysis identifies immunobiomarkers for COVID-19 severity in outpatients
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Multiomics analysis identifies immunobiomarkers for COVID-19 severity in outpatients Multiomics Coronavirus Disease COVID Microbiome Genomics Proteome elife Stanford UofCalifornia

Study: Early immune markers of clinical, virological, and immunological outcomes in patients with COVID-19: a multi-omics study. Image Credit: picmedical / Shutterstock

The team used proteomics-based machine-learning models for predicting patient outcomes. Further, they validated their findings using data from 54 individuals enrolled in another clinical trial. The researchers used a previously established tool named xCell to characterize the changes in the composition of blood immune cells over time. They noted that the activation of corresponding immune cells rather than the changes in their composition drove the immune trajectories of all 16 immune modules.

The RIG-I helicase domain interacts with SARS-CoV-2 RNA to induce an inhibitory effect on viral replication. It does so independently of downstream IFN upregulation via mitochondrial antiviral-signaling protein . Thus, the study data showed an inverse correlation between plasma RIG-I levels and SARS-CoV-2 load.

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