Abstract
Tuberculosis (TB) is a chronic infectious disease caused by Mycobacterium tuberculosis (Mtb), which threatens human health and safety all over the world. Hundreds of thousands of people die from TB every year. Timely early diagnosis and treatment of patients is the most important measure to control the source of infection and curb the epidemic of tuberculosis. The existing diagnostic methods have the disadvantages of poor sensitivity and long culture time. Competitive endogenous RNAs (ceRNAs) can regulate the expression of corresponding target genes by competing for the same microRNA (miRNA) response elements (MREs) as mRNA. Recent studies have found that circRNA has the advantages of long half-life, good stability and tissue specificity, and can be used as a biomarker for predicting, diagnosing and treating various diseases, and is an ideal candidate for biomarkers in body fluid biopsy. In this study, transcriptome sequencing was performed on whole blood samples to screen out TB-related mirna and mRNA differential expression, and to construct the ceRNA regulatory network. Through the analysis of ceRNA regulatory network, it was found that circRNA could competitively bind has-miR-607 and induce down-regulation of has-miR-607, thereby inhibiting the expression of IFNG. The hsa_circ_0000566, hsa_circ_0001844, hsa_circ_0005408, hsa_circ_0007587, hsa_circ_0086710, IFNG and has-miR-607 couble be used as new diagnostic targets for TB. The results of this study not only provide a new perspective for studying the potential role of ceRNA regulatory network in tuberculosis, but also provide a new target and method for the diagnosis of tuberculosis.