Computational network biology analysis revealed COVID-19 severity markers: Molecular interplay between HLA-II with CIITA.

ABSTRACT: COVID-19, severe acute respiratory syndrome coronavirus 2, rapidly spread worldwide. Severe and critical patients are expected to rapidly deteriorate. Although several studies have attempted to uncover the mechanisms underlying COVID-19 severity, most have focused on the perturbations of single genes. However, the complex mechanism of COVID-19 involves numerous perturbed genes in a molecular network rather than a single abnormal gene. Thus, we aimed to identify COVID-19 severity-specific markers in the Japanese population using gene network analysis. In order to reveal the severity-specific molecular interplays, we developed a novel computational network biology strategy that measures dissimilarity between networks based on the comprehensive information of gene network (i.e., expression le

SUBMITTER: Park H 

PROVIDER: S-EPMC11957389 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature