Supplementary file 2_Integrated miR-omics and proteomics reveal the regulatory role of miR in protein networks associated with COVID-19 disease progression.xlsx

We performed integrated miR–proteome analysis to elucidate mechanistic relationships between miR regulation and COVID-19 severity.</p>Method<p>Deidentified plasma samples from 93 participants with acute COVID-19 were categorized by severity using a 12-point symptom scoring system: mild (0–1), moderate (2–4), and severe (5–12). miR and proteomic profiles were analyzed using univariate statistics, pathway analysis, miR-target prediction, and correlation analysis.

Differentially expressed miRNAs (DEMs) and differentially expressed proteins (DEPs) between the three severity groups from the original cohort were evaluated in a validation cohort of 94 participants.</p>Results<p>We identified 365 unique miRs and 801 unique proteins that were significantly associated with COVID-19 severity in any of the three comparisons. Ingenuity pathway analysis revealed neutrophil degranulation, cytokine storm, interleukin-10 (IL-10) signaling, and wound healing signaling as top dysregulated pathways in severe versus mild cases, with IL-6 involved in 9 of the 10 most significant pathways.