Diagnostic performance of circulating microRNA signatures for differentiating tuberculosis disease from tuberculosis infection.

ABSTRACT: As regulators of innate and adaptive immunity, microRNAs (miRNAs) could aid in the discrimination between tuberculosis disease (TB) and (latent) TB infection (TBI). We analysed 754 circulating miRNAs in participants diagnosed with TB and TBI using TaqMan™ Advanced miRNA Human A and B cards. MiRNAs were normalized exogenously and endogenously via geometric means of selected reference miRNAs. Expression analysis was used to identify miRNAs that were significantly differentially expressed between individuals with TB and those with TBI. We utilised recursive feature elimination with a Random Forest model to identify the miRNAs most effective at discriminating TB from TBI and subsequently validated the miRNA in another group. 95 persons diagnosed with TB or TBI was divided into a discovery grou

SUBMITTER: Ostergaard AA 

PROVIDER: S-EPMC12460509 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature