biostudies-literatureZhang CNational Natural Science Foundation of China1024041https://www.ebi.ac.uk/biostudies/studies/S-EPMC9936160biostudies-literatureUnknown14<h4>Background</h4>Coronavirus disease 2019 (COVID-19) and inflammatory bowel disease (IBD) are both caused by a disordered immune response and have direct and profound impacts on health care services. In this study, we implemented transcriptomic and single-cell analysis to detect common molecular and cellular intersections between COVID-19 and IBD that help understand the linkage of COVID-19 to the IBD patients.<h4>Methods</h4>Four RNA-sequencing datasets (GSE147507, GSE126124, GSE9686 and GSE36807) from Gene Expression Omnibus (GEO) database are extracted to detect mutual differentially expressed genes (DEGs) for IBD patients with the infection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to find shared pathways, candidate drugs, hub genes and regulatory networks. Two Frontiers in immunologyComprehensive analysis to identify the influences of SARS-CoV-2 infections to inflammatory bowel disease.PMC993616082130053, 31970845, 31770951Chen JCai ZMa ZWang WZeng XNan XZhang CWang JfalseComprehensive analysis to identify the influences of SARS-CoV-2 infections to inflammatory bowel disease.<h4>Background</h4>Coronavirus disease 2019 (COVID-19) and inflammatory bowel disease (IBD) are both caused by a disordered immune response and have direct and profound impacts on health care services. In this study, we implemented transcriptomic and single-cell analysis to detect common molecular and cellular intersections between COVID-19 and IBD that help understand the linkage of COVID-19 to the IBD patients.<h4>Methods</h4>Four RNA-sequencing datasets (GSE147507, GSE126124, GSE9686 and GSE36807) from Gene Expression Omnibus (GEO) database are extracted to detect mutual differentially expressed genes (DEGs) for IBD patients with the infection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to find shared pathways, candidate drugs, hub genes and regulatory networks. Two 2023-01-01T00:00:00Z20232026-07-14T20:07:02.6Z2024-12-04T07:28:22.503ZS-EPMC99361603681743610.3389/fimmu.2023.1024041