A modular transcriptional signature identifies phenotypic heterogeneity of human tuberculosis infection.

ABSTRACT: Whole blood transcriptional signatures distinguishing active tuberculosis patients from asymptomatic latently infected individuals exist. Consensus has not been achieved regarding the optimal reduced gene sets as diagnostic biomarkers that also achieve discrimination from other diseases. Here we show a blood transcriptional signature of active tuberculosis using RNA-Seq, confirming microarray results, that discriminates active tuberculosis from latently infected and healthy individuals, validating this signature in an independent cohort. Using an advanced modular approach, we utilise the information from the entire transcriptome, which includes overabundance of type I interferon-inducible genes and underabundance of IFNG and TBX21, to develop a signature that discriminates active tuberculo

SUBMITTER: Singhania A 

PROVIDER: S-EPMC6008327 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature