Comprehensive bioinformatics analysis and systems biology approaches to identify the interplay between COVID-19 and pericarditis.

"disease data type data source raw number filter condition after filtering merge common pericarditis database genecards1008 if the raw data are less than 500 all are included 500 930 313 covid-19 database geo disgenet ctd genecards disgenet ctd gse164805 51 29276 6051 1843 9896 8953 fdr < 0 00001 and log fold-change > 1 51 500 500 500 500 494 1711 3 2 based on common genes go and kegg enrichment were carried out to examine their biological roles and signal pathways."

"Conflict of interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest."

"The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by The National Natural Science Foundation of China (no. 82172574, no. 81871231), The Natural Science Foundation of Shandong Province (no. ZR2020MH016, no. ZR202209280042), Research Planning Project of Shandong Higher Medical Education Research Center (no. YJKT202171), Shandong Taishan Scholars Young Experts Program (No. tsqn202103056), Project of China Association of Chinese Medicine (no. 2021HH-006)"