Gene expression signatures identify biologically and clinically distinct tuberculosis endotypes.

ABSTRACT:

Background

In vitro, animal model and clinical evidence suggests that tuberculosis is not a monomorphic disease, and that host response to tuberculosis is protean with multiple distinct molecular pathways and pathologies (endotypes). We applied unbiased clustering to identify separate tuberculosis endotypes with classifiable gene expression patterns and clinical outcomes.

Methods

A cohort comprised of microarray gene expression data from microbiologically confirmed tuberculosis patients was used to identify putative endotypes. One microarray cohort with longitudinal clinical outcomes was reserved for validation, as were two RNA-sequencing (seq) cohorts. Finally, a separate cohort of tuberculosis patients with functional immune responses was evaluated to clarify stimul

SUBMITTER: DiNardo AR 

PROVIDER: S-EPMC9474892 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature