Circular RNAs (circRNAs) are known to be closely involved in various diseases progression. Nevertheless, their function and underlying mechanisms in tuberculosis (TB) remain largely unknown. The aim of the present study was to explore their potential diagnostic values in TB. We downloaded the gene expression datasets of circRNA (GSE117563 and GSE106953), microRNA (miRNA, dataset GSE29190) and mRNA (GSE54992) from Gene Expression Omnibus (GEO) database. A competing endogenous RNAs (ceRNA) network was constructed based on circRNA-miRNA-mRNA potential interaction. We also constructed a circRNA-miRNA-hub gene regulatory module by using the Cytohubba. Gene ontology (GO) as well as Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were used to predict their biological functions. By further validation, the expression level of hsa_circ_0028883 and hsa-miR-409-5p were detected by qRT-PCR in 20 active TB patients and 20 healthy donors. Then, Receiver Operating Characteristic (ROC) was constructed to evaluate the diagnostic values of hsa_circ_0028883. 1 differentially expressed circRNA (DE-circRNA), 1 differentially expressed miRNA (DE-miRNA), and 44 differentially expressed mRNAs (DE-mRNAs) were selected for the construction of ceRNA network in TB. A circRNA-miRNA-hub gene (mRNA) sub-network was constructed based on 1 DE-circRNA, 1 DE-miRNA, and 8 DE-mRNAs. Hsa_circ_0028883/hsa-miR-409-5p/mRNA interactions may provide some novel mechanisms for active TB. GO and KEGG pathway analysis indicated the possible function of hsa_circ_0028883 with TB. ROC analysis revealed that hsa_circ_0028883 had potential value for TB diagnosis. Hsa_circ_0028883 is a potentially reliable biomarker to diagnose active TB, but there remains a need to further study the mechanism in TB.
Keywords: Biomarker; CeRNA; CircRNA; Tuberculosis.
Copyright © 2020. Published by Elsevier B.V.