Bioinformatics-based study of the ceRNA network and the sub-network of the Ziyin Buyang Formula in premature ovarian failure due to ovarian tumour therapy

Ovarian tumour therapy has been known to cause ovary ageing. The competitive endogenous RNA (ceRNA) network plays an indispensable role in various diseases. We constructed the ceRNA examine of circular (circRNA) ovaries older women and elucidate intervention mechanism Ziyin Buyang Formula. tissue datasets were obtained from Gene Expression Omnibus (GEO) database screened for differentially expressed circRNAs (DECs), miRNA (DEMis) mRNAs (DEMs). circBase Cancer-Specific CircRNA Databse 2.0 (CSCD) used predict response elements (MREs) DECs. Interacting miRNAs by intersecting MREs DEMis. Based on interaction between circRNA-miRNA miRNA-mRNA, node circRNA, mRNA obtained. was using Cytoscape software. targets Formula Traditional Chinese Medicine Systems Pharmacology related literature. sub-networks interventions according target genes corresponding relationships network. A total seven circRNAs, six 224 distinguished as nodes 226 DECs, 35 DEMis, 1697 DEMs, 2320 MREs, 19 765 mRNAs. Moreover, 96 chemical components, 239 four identified This study a ageing due ovarian therapy, sub-network predicted, providing novel perspective effective treatment therapy.